Skip to main content
Erschienen in: BMC Pediatrics 1/2020

Open Access 01.12.2020 | Research article

Nutrition- and feeding practice-related risk factors for rapid weight gain during the first year of life: a population-based birth cohort study

verfasst von: Annelie Lindholm, Stefan Bergman, Bernt Alm, Ann Bremander, Jovanna Dahlgren, Josefine Roswall, Carin Staland-Nyman, Gerd Almquist-Tangen

Erschienen in: BMC Pediatrics | Ausgabe 1/2020

Abstract

Background

Rapid weight gain (RWG) during infancy increases the risk of excess weight later in life. Nutrition- and feeding practices associated with RWG need to be further examined. The present study aimed to examine nutrition- and feeding practice-related risk factors for RWG during the first year of life.

Methods

A population-based longitudinal birth cohort study of 1780 infants, classified as having RWG or non-RWG during 0–3-4, 0–6 and 6–12 months. RWG was defined as a change > 0.67 in weight standard deviation scores. Associations between nutrition- and feeding practice-related factors and RWG were examined with logistic regression models.

Results

Of the participating infants, 47% had RWG during 0–3-4 months, 46% during 0–6 months and 8% during 6–12 months. In the fully adjusted models, bottle-feeding at birth and at 3–4 months and nighttime meals containing formula milk were positively associated with RWG during 0–3-4 months (p < 0.05 for all). Breastfeeding at 3–4 months and nighttime meals containing breast milk were negatively associated with RWG during this period (p < 0.001). Bottle-feeding at birth, 3–4 and 6 months and nighttime meals containing formula milk at 3–4 months were positively associated with RWG during 0–6 months (p < 0.01 for all). Breastfeeding at 3–4 and 6 months was negatively associated with RWG (p < 0.01). During 6–12 months, only bottle-feeding at 3–4 months was positively associated with RWG (p < 0.05).

Conclusions

RWG was more common during the first 6 months of life and bottle-feeding and formula milk given at night were risk factors for RWG during this period.
Hinweise

Supplementary information

Supplementary information accompanies this paper at https://​doi.​org/​10.​1186/​s12887-020-02391-4.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Abkürzungen
RWG
Rapid weight gain
SDS
Standard deviation scores
AGA
Appropriate for gestational age
SGA
Small for gestational age
MCD
Milk cereal drink
H2GS
The Halland health and growth study
CHCC
Child health care centers
GA
Gestational age
LGA
Large for gestational age
SD
Standard deviation
nRWG
Non rapid weight gain

Background

The global prevalence of childhood overweight and obesity has grown dramatically in recent decades [1], and even the youngest age groups are affected [2]. The “first 1,000 days” of a child’s life, beginning at conception and ending on their second birthday, has been identified as an important period for the establishment of obesity and associated diseases affecting life-long health [3].
One identified risk factor for later overweight that has gained much attention in recent research is rapid weight gain (RWG), seen as upward centile crossing in weight growth charts and defined as a change > 0.67 in weight standard deviation scores (SDS) [4, 5].
RWG during the first two years of life has in a number of studies been associated with overweight or obesity in both childhood and adulthood [35]. One review revealed that 45 of 46 studies reported a positive association between higher infancy weight or RWG and later childhood overweight [3]. Several studies have attempted to determine during what time period in infancy or childhood RWG predicts later adiposity but have come to mixed results [6, 7] although, early infancy has been suggested as a critical period [5].
Observed risk factors for rapid weight gain operates both before and during pregnancy as well as early in life. These include maternal pre-pregnancy overweight [812] and excessive maternal gestational weight gain [911], maternal and paternal overweight [8], maternal smoking during pregnancy [8, 13], maternal smoking after birth or history of smoking [13], smoking in the same room as the child [8], male sex in the child [13, 14], younger gestational age, first born status [13] and low socioeconomic status [15]. Besides these risk factors, a number of nutrition- or feeding practice-related factors acting early in life have been associated with RWG [1618]. Breastfed infants have a slower weight gain trajectory compared to infants fed on formula milk, at least in Westernized settings [17]. The milk type (i.e., formula milk versus breast milk), and mode of feeding (i.e., directly from the breast versus from a bottle), both independently and in combination with each other may be of importance regarding associations between early feeding and RWG [18, 19]. Infants fed on formula milk have been shown to have higher intakes of protein and energy and a faster weight gain than infants fed on breast milk [19], and formula milk with a high protein content promotes RWG [20]. In terms of mode of feeding, bottle-feeding has been associated with RWG regardless of whether the bottle contained formula milk or expressed breast milk [18].
In the Swedish context, milk cereal drink (MCD) (“gruel”) which is a liquid-based complement to breast milk recommended from the age of 6 months [2123], is also a factor that may have an impact on RWG. MCD is commercially available as a ready mix [24]. It is made from grains and dehydrated skimmed milk, mixed with hot water. The most common grains in gruel are oats but versions with wheat, rye, semolina and corn are also available. It contains approximately 65 kcals/100 mL, 2.7 g protein, 8.3 g carbohydrates and 2.1 g fat [23]. Positive associations between MCD consumption and overweight have been found [21, 22, 24].
The early establishment of excess weight demands interventions already in infants and toddlers [25]. Changing modifiable risk factors early in life may be an effective way of reducing the prevalence of overweight in children [25, 26]. Early nutrition and feeding practices have been identified as modifiable risk factors for overweight and obesity [25], but in order to develop early interventions, more research is needed regarding current dietary practices and RWG in infants [4, 27].
The aim of the present study was to examine nutrition- and feeding practice-related risk factors for RWG during the first 0–3-4 months, 0–6 months and 6–12 months of the first year, adjusted for biological (birth weight and sex), socioeconomic and parental health-related risk factors for RWG or childhood overweight or obesity.

Methods

Study population and design

This longitudinal birth cohort study is a part of the ongoing population-based birth cohort study, the Halland Health and Growth Study (H2GS). The H2GS included at baseline 2666 infants, 1349 boys and 1317 girls, born in the County of Halland, in south-western Sweden, between 1 October 2007 and 31 December 2008. During the period the data was collected, there were 3860 births in the county, all infants were eligible to take part in the study, without any exclusions and 69% agreed to participate. The families were recruited at their first visit to the child health care centers (CHCC), which in Halland serves about 98.4% of the infants living in the county. Measurements of length, weight and waist circumference were carried out by trained child health care nurses at 0–1, 3–4, 6 and 12 months. In connection with the measurements, the parents filled in questionnaires regarding their infant’s food, lifestyle and background data. The study protocol, the recruitment process and the representativeness of the sample have been reported in detail elsewhere [28].
In this part of the study with a focus on RWG during 0–3-4, 0–6 and 6–12 months, only infants with weight values at 0, 3–4, 6 and 12 months and information regarding gestational age (GA) were included, excluding 315 boys and 299 girls. Infants measured outside the decided age limits, 0–31 days for the measurement point 0–1 month, ±1.5 month at 3–4 and 6 months and ± 2.5 months at 12 months were also excluded, 109 boys and 114 girls. Finally, infants born preterm, 23 boys and 26 girls were excluded. The final study population consisted of 1780 infants, 902 boys and 878 girls (Fig. 1). The excluded 886 infants had a significantly lower birth weight, 3420 g versus 3576 g (p < 0.001) but the balance between boys and girls was the same as among the infants included in the study.

Definition of rapid weight gain

Birth weight, birth length and GA were collected from medical records where birth weight was reported to the nearest gram and birth length to the nearest half centimeter. Weight measurements were performed on calibrated scales with one measurement per infant. GA at birth was based on the date of the last menstrual period confirmed by antenatal ultrasound reports. Measurements of weight were conducted when the infants were 0–1, 3–4, 6, and 12 months old. Infants were weighed in a supine position on baby scales and without clothes. Crude weight values were transformed to sex- and age-specific standard deviation scores (SDS), using the estimated mean and standard deviation (SD) functions based on Swedish reference data [29]. RWG was defined as a change > 0.67 in weight SDS. This change in SDS in standard growth curves represents the distance between two adjacent centile lines. According to size at birth, the infants were considered as large for gestational age (LGA), appropriate for gestational age (AGA), or small for gestational age (SGA). LGA was defined as birth weight or birth length ≥ 2 SDS for GA, and SGA was defined as birth weight or birth length ≤ − 2 SDS for GA, according to Swedish reference standards [30].

Nutrition and feeding practices and potential risk factors for RWG

Bottle-feeding was reported in the questionnaires at every measurement point and the parents were asked if their child used a feeding-bottle or not. Breastfeeding was reported at every measurement point and divided into predominant, partial or no, breastfeeding, based on answers from the questionnaires where the parents at every time point were asked if the child was breastfed or not. The parents who answered yes, were asked how many times per day, with three answering alternatives: 1–5 times/day, 6–10 times/ day or more than 10 times/day. Infants who were breastfed 6–10 times /day or more were considered predominantly breastfed, while the ones breastfed 1–5 times/ day were considered partly breastfed. Infants below 6 months of age, where the parents answered no to breastfeeding were considered formula fed. MCD consumption was reported at 6 and 12 months. Nighttime meals and their content, breastmilk, formula milk, MCD (from 6 months) or water were reported at 3–4 and 6 months. Background data regarding parental weight, height, maternal gestational weight gain, parental education (with university as the highest degree), parental smoking (current), diabetes mellitus and cardiovascular disease were recorded at the first visit to the CHCC in a questionnaire answered by the parents. Regarding the diseases, the parents were asked in the questionnaire if they had been treated for diabetes mellitus or cardiovascular disease. In the Swedish context cardiovascular disease includes hypertension, ischaemic heart disease and stroke.
Based on previous research regarding RWG or overweight/obesity [3, 8, 13, 15, 18, 31], and available data in this infant cohort, four potential nutrition- or feeding practice-related risk factors were examined: breastfeeding (where no breastfeeding was considered as a risk), MCD consumption, bottle-feeding and nighttime meals. These four risk factors were adjusted for the following factors: birth weight, sex, maternal weight before pregnancy, maternal gestational weight gain, paternal weight at the first measurement point, maternal and paternal smoking, maternal and paternal education and maternal and paternal diabetes mellitus and cardiovascular disease. Maternal BMI before pregnancy and paternal BMI at the first measurement point were also examined as risk factors for RWG. Since only paternal BMI but both maternal and paternal weight showed significant association with RWG, and maternal weight gain also was included as another potential risk factor, the weight values were used in the predictive models. Male sex, maternal smoking, maternal overweight before pregnancy, excess maternal gestational weight gain, paternal overweight and low or high birth weight in the infant have all been associated with RWG and overweight or obesity in previous research [3, 8, 9, 13]. Paternal smoking and parental education were examined as indicators of socioeconomic level since low socioeconomic level has been associated with RWG [3, 15]. Diabetes mellitus and cardiovascular disease were examined since they often are consequences of overweight or obesity. These 13 risk factors were grouped in three models: biological, socioeconomic or parental health related. Model 1 consisted of the child related factors, birth weight and sex, model 2 consisted of factors related to the parents socioeconomic situation, parental education and parental smoking and model 3 consisted of factors related to the health of the parents, maternal weight before pregnancy, maternal gestational weight gain, paternal weight and parental diabetes mellitus and cardiovascular disease.

Statistics

The percentage of children with RWG during the 0–3-4 month-, 0–6 month- and, 6–12-month periods and children that had RWG during all of these time periods were analysed. The percentage of boys and girls and children born LGA or SGA in each group and if they had RWG or not during the three time periods were analysed. In each group, mean weight gain with standard deviations were calculated. Regarding nutritional factors, the percentage of children predominantly breastfed, bottle fed and exclusively formula-fed (at 0 and 3–4 months) during the different measurement points and the percentage of children given MCD at the time points 6 and 12 months were analysed. Data was not imputed, and missing values were treated as missing. Logistic regression analyses were performed and first the biological, socioeconomic and parental health-related risk factors aimed to examine in relation to nutrition and feeding- practices were examined one by one in a model adjusted for birth weight and sex. The dependent variable in all those analyses was RWG versus non-RWG (nRWG) during 0–3-4 months, 0–6 months and 6–12 months respectively. Independent variables were birth weight, sex, maternal education, paternal education, maternal smoking, paternal smoking, maternal weight before pregnancy, maternal BMI before pregnancy, maternal gestational weight gain, paternal weight at the first measurement point, paternal BMI at the first measurement point and maternal and paternal diabetes mellitus and cardiovascular disease.
In logistic regression analyses examining associations between the nutrition- or feeding practice-related risk factors and RWG, three models were used where biological, socioeconomic and parental health-related risk factors were successively introduced. The dependent variable in all those analyses was RWG versus nRWG during 0–3-4 months, 0–6 months and 6–12 months respectively. Independent variables were breastfeeding at 0–1, 3–4 and 6 months, MCD consumption at 6 months (this variable was only used for examining associations with RWG during 6–12 months), bottle-feeding at 0, 3–4 and 6 months and nighttime meals at 3–4 and 6 months (the content of the nighttime meals was studied separately but with the same three models). Model 1 was adjusted for birth weight and sex, model 2 was additionally adjusted for parental smoking and parental education, with upper secondary school as reference. Model 3 was additionally adjusted for maternal weight before pregnancy, maternal gestational weight gain, paternal weight at the first measurement point and parental diabetes mellitus and cardiovascular disease. Each time period was examined separately in all logistic regression analyses. Sensitivity analyses including only the boys were made for each potential risk factor and for each model (reported in Additional file 1).
SPSS (IBM corp, Armonk, New York, v.25.0) was used for all statistical analyses. A p value < 0.05 was considered to be statistically significant. Conversions of crude weight values to SDS were made in Matlab (The MathWorks, Natick, Massachusetts, v.9.0.0.341360R2016a).

Results

Study population

Of the 1780 infants, 47% had RWG during 0–3-4 months, 46% during 0–6 months, and 8% during 6–12 months (Table 1). The percent of infants experiencing RWG during all three time periods was 2%. The infants with RWG during the first 3–4 months had a mean weight gain of 3.0 ± 0.6 kg compared to 2.2 ± 0.5 kg for infants with nRWG (p < 0.001). In the RWG-group 58% were boys and 42% were girls. The corresponding mean increase in weight during the 0–6 months period was 4.8 ± 0.7 kg for infants with RWG and 3.7 ± 0.5 kg for infants with nRWG (p < 0.001). Among the children experiencing RWG during this period, 53% were boys and 47% were girls. During the 6–12-month period, the corresponding mean increases in weight were 3.3 ± 0.5 kg and 2.0 ± 0.5 kg for infants with RWG and nRWG respectively (p < 0.001), and the RWG-group consisted of 50% boys and 50% girls. Of the infants with RWG during 0–3-4 months, 4.4% were born SGA, and 2.1% LGA. The corresponding values in the 0–6 months group were 4.4 and 1.8% and in the 6–12-month group 3.7 and 3% for SGA and LGA respectively. Among the infants born SGA, 69% had RWG during 0–3-4 months, 67% during 0–6 months and 9% during 6–12 months. In the infants born LGA, 22% had RWG during 0–3-4 months, 18% during 0–6 months and 5% during 6–12 months. At birth, 87% of the infants were predominantly breastfed. The corresponding values for the other time points were as follows, 67% at 3–4 months, 29% at 6 months, and 4.5% at 12 months. During the different time points, the following numbers of infants were bottle-fed: at birth, 24%, at 3–4 months, 46% at 6 months, 76% and at 12 months, 89%. At birth, 6% of the infants were exclusively formula-fed and at 3–4 months the corresponding number was 20%. At 6 months of age, MCD was given to 44% of the infants and at 12 months the corresponding number was 59%.
Table 1
Characteristics of the study population divided by rapid weight gain or non-rapid weight gain during 0–3-4, 0–6 and 6–12 months
n (total) = 1780
RWG 0–3-4 months (n = 841)
nRWG 0–3-4 months (n=939)
RWG 0–6 months (n = 827)
nRWG 0–6 months (n = 953)
RWG 6–12 months (n = 136)
nRWG 6–12 months (n = 1644)
Sex
 Boys
484
418
437
465
68
834
 Girls
357
521
390
488
68
810
Birth weighta
 MBW ± SD (g)
3443 ± 456
3696 ± 478***
3439 ± 449
3696 ± 482***
3535 ± 464
3586 ± 486ns
 Missing (n)
23
24
21
26
4
43
Size for gestational age
 SGA (n)
37
17
36
18
5
49
 AGA (n)
785
856
776
865
126
1515
 LGA (n)
18
65
15
68
4
79
 Missing (n)
1
1
0
2
1
1
Gestational age
 370–376 (n)
41
34
42
33
10
65
 380–406 (n)
604
691
576
719
90
1205
 410–435 (n)
196
214
209
201
36
374
 Missing (n)
0
0
0
0
0
0
Maternal age
  < 25 (n)
128
116
117
127
18
226
 25–35 (n)
560
660
564
656
94
1126
  ≥ 35 (n)
140
155
131
164
22
273
 Missing (n)
13
8
15
6
2
19
Mean weight gaina
 0–3 m (kg)
3.0 ± 0.6
2.2 ± 0.5***
    
 0–6 m (kg)
  
4.8 ± 0.7
3.7 ± 0.5***
  
 6–12 m (kg)
    
3.3 ± 0.5
2.0 ± 0.5***
aFor mean values in birth weight and mean weight gain, the groups with RWG was compared with the groups with nRWG. ***p < 0.001, ns, non-significant
RWG rapid weight gain, nRWG non-rapid weight gain, MBW mean birth weight; SD standard deviation, ns non-significant; SGA small for gestational age;
AGA appropriate for gestational age, LGA large for gestational age

Nutrition, feeding practices and RWG during 0–3-4 months

In logistic regression analyses of risk factors for RWG during 0–3-4 months and adjusted for birth weight and sex, significant positive associations were found for maternal weight before pregnancy, maternal gestational weight gain, paternal weight and paternal BMI at the first measurement point (Table 2). In a sensitivity analysis including only the boys, maternal gestational weight gain and paternal weight showed significant positive associations with RWG, paternal BMI was nearly significant (p = 0.055) (Additional file 1).
Table 2
Logistic regressions over risk factors for rapid weight gain during 0–3-4 months, 0–6 months and 6–12 months
Risk factors
RWG/nRWG
  
RWG/nRWG
  
RWG/nRWG
n (total) = 1780
0–3-4 m (n)
OR
95% CI
p
0–6 m (n)
OR
95% CI
p
6–12 m (n)
OR
95% CI
p
Sex
 Boy
484/418
1
Ref
 
437/465
1
Ref
 
68/134
1
Ref
 
 Girl
357/521
0.47*
0.39, 0.58
<0.001
390/488
0.71*
0.58, 0.86
0.001
68/810
0.98*
0.68, 1.40
0.913
Birth weight Per kg bw
n/a
0.27
0.21, 0.34
<0.001
n/a
0.29
0.23, 0.36
<0.001
n/a
0.82
0.57, 1.20
0.305
Maternal education
 Upper secondary school
325/370
1
Ref
 
332/363
1
Ref
 
59/636
1
Ref
 
 Elementary school
49/44
1.11
0.70, 1.76
0.669
44/49
0.86
0.55, 1.37
0.533
6/87
0.75
0.31, 1.78
0.509
 University
424/474
0.97
0.78, 1.20
0.755
404/494
0.85
0.69, 1.05
0.125
65/833
0.80
0.55, 1.16
0.243
 Other
32/44
0.69
0.41, 1.16
0.159
35/41
0.83
0.50, 1.38
0.472
4/72
0.60
0.21, 1.71
0.340
Paternal education
 Upper secondary school
418/491
1
Ref
 
407/502
1
Ref
 
73/836
1
Ref
 
 Elementary school
45/52
1.10
0.70, 1.72
0.693
45/52
1.17
0.75, 1.82
0.496
12/85
1.68
0.88, 3.23
0.119
 University
281/299
1.12
0.90, 1.40
0.317
281/299
1.20
0.96, 1.50
0.104
35/545
0.68
0.44, 1.05
0.079
 Other
32/38
0.93
0.55, 1.55
0.772
32/38
0.99
0.60, 1.65
0.975
9/61
1.65
0.79, 3.47
0.183
Maternal smoking
 No
780/884
1
Ref
 
762/902
1
Ref
 
126/1538
1
Ref
 
 Yes
49/45
0.93
0.59, 1.48
0.761
52/42
1.13
0.72, 1.78
0.596
8/86
1.20
0.56, 2.55
0.638
Paternal smoking
 No
675/801
1
Ref
 
665/811
1
Ref
 
109/1367
1
Ref
 
 Yes
96/77
1.30
0.92, 1.83
0.136
95/78
1.35
0.96, 1.90
0.082
19/154
1.69
1.00, 2.83
0.049
Maternal weight bp Per kg bw
n/a
1.01
1.00, 1.02
0.035
n/a
1.01
1.00, 1.02
0.008
n/a
1.01
1.00, 1.02
0.486
Maternal gwg Per kg gw
n/a
1.02
1.01, 1.04
0.013
n/a
1.02
1.00, 1.04
0.081
n/a
1.00
0.97, 1.04
0.970
Paternal weight Per kg bw
n/a
1.02
1.01, 1.03
<0.001
n/ a
1.02
1.02, 1.03
<0.001
n/a
1.01
1.00, 1.03
0.184
Maternal BMI bp
n/a
1.10
0.98, 1.03
0.481
n/a
1.01
0.99, 1.04
0.260
n/a
1.01
0.97, 1.05
0.718
Paternal BMI
n/a
1.04
1.01, 1.08
0.024
n/a
1.05
1.02, 1.09
0.004
n/a
1.04
0.98, 1.10
0.237
Maternal diabetes mellitus
 No
814/916
1
Ref
 
804/926
1
Ref
 
131/1599
1
Ref
 
 Yes
1/6
0.32
0.04, 2.74
0.297
1/6
0.32
0.04, 2.73
0.295
1/6
2.20
0.26, 18.62
0.468
Paternal diabetes mellitus
 No
761/874
1
Ref
 
753/882
1
Ref
 
126/1509
1
Ref
 
 Yes
9/8
1.40
0.47, 4.14
0.543
6/11
0.81
0.28, 2.39
0.704
0/17
0.00
0.00, -
1.00
Maternal cardiovascular disease
 No
810/914
1
Ref
 
800/924
1
Ref
 
132/1592
1
Ref
 
 Yes
8/9
0.92
0.33, 2.55
0.874
7/10
0.74
0.27, 2.04
0.556
1/16
0.75
0.1, 5.72
0.783
Paternal cardiovascular disease
 No
763/869
1
Ref
 
751/881
1
Ref
 
125/1507
1
Ref
 
 Yes
5/8
0.55
0.16, 1.89
0.343
5/8
0.87
0.27, 2.84
0.822
1/12
1.12
0.14, 8.78
0.913
All risk factors were adjusted for birth weight and sex, except sex that was adjusted for birth weight and birth weight that was adjusted for sex, *adjusted for birth weight, adjusted for sex
RWG rapid weight gain, nRWG non-rapid weight gain, m months, n number of subjects, OR odds ratios, 95% CI 95% confidence intervals, p p value, n/a not applicable, Kg kilogram, Per kg bw per kg body weight, Per kg gw per kg gained weight, Maternal gwg maternal gestational weight gain, BMI body mass index
When focusing on nutrition- and feeding practice-related risk factors, bottle-feeding at 0–1 and 3–4 months were positively associated with RWG during 0–3-4 months (Table 3). These associations were found in model 1, when adjusted for birth weight and sex, in model 2, when additionally adjusted for parental smoking and education and in model 3, when additionally adjusted for maternal weight before pregnancy, maternal gestational weight gain, paternal weight at the first measurement point and parental diabetes mellitus and cardiovascular disease. Breastfeeding at 3–4 months was negatively associated with RWG in all three models. Nighttime meals were not significantly associated with RWG, but when specifically studying the content of the meals at night, formula milk was positively associated, and breast milk was negatively associated with RWG during this period (Table 4). In the sensitivity analysis, the results were similar, except that bottle feeding at 3–4 months did not reach significant values (Additional file 1).
Table 3
Logistic regressions over nutrition- and feeding practice-related risk factors for rapid weight gain during 03-4 months
Risk factors 0–3-4 m
Model 1
Model 2
Model 3
n (total) = 1780
n in model
OR
95% CI
p
n in model
OR
95% CI
p
n in model
OR
95% CI
p
Breastfeeding
 0 months
1713
   
1577
   
1355
   
  No
 
1
Ref
  
1
Ref
  
1
Ref
 
  Yes
 
0.68
0.44, 1.05
0.080
 
0.68
0.43, 1.08
0.098
 
0.65
0.39, 1.07
0.090
 34 months
1710
   
1568
   
1347
   
  No
 
1
Ref
  
1
Ref
  
1
Ref
 
  Yes
 
0.57
0.44, 0.73
< 0.001
 
0.56
0.42, 0.73
< 0.001
 
0.52
0.39, 0.70
< 0.001
Bottle-feeding
 0 months
1635
   
1508
   
1302
   
  No
 
1
Ref
  
1
Ref
  
1
Ref
 
  Yes
 
1.84
1.45, 2.34
< 0.001
 
1.96
1.52, 2.52
< 0.001
 
1.93
1.46, 2.54
< 0.001
 34 months
1278
   
1172
   
1004
   
  No
 
1
Ref
  
1
Ref
  
1
Ref
 
  Yes
 
1.37
1.08, 1.74
0.011
 
1.40
1.08, 1.81
0.010
 
1.42
1.07, 1.88
0.014
Nighttime meals
 34 months
1713
   
1571
   
1349
   
  No
 
1
Ref
  
1
Ref
  
1
Ref
 
  Yes
 
0.83
0.65, 1.06
0.127
 
0.85
0.66, 1.10
0.217
 
0.86
0.65, 1.14
0.300
Model 1, adjusted for birth weight and sex; Model 2, additionally adjusted for maternal and paternal education and maternal and paternal smoking; Model 3,
additionally adjusted for maternal weight before pregnancy, maternal gestational weight gain, paternal weight at the first measurement point and
maternal or paternal diabetes mellitus and cardiovascular disease
Table 4
Logistic regressions over content of nighttime meals and rapid weight gain during 0–3-4, 0–6 and 6–12 months
Risk factors
Model 1
Model 2
Model 3
n (total) = 1780
n in model
OR
95% CI
p
n in model
OR
95% CI
p
n in model
OR
95% CI
p
Time period 0–3-4 months
Nighttime meals 3–4 months
  Breast milk
1713
   
1571
   
1349
   
   No
 
1
Ref
  
1
Ref
  
1
Ref
 
   Yes
 
0.66
0.53, 0.81
< 0.001
 
0.66
0.52, 0.82
< 0.001
 
0.64
0.50, 0.82
< 0.001
  Formula milk
1713
   
1571
   
1349
   
   No
 
1
Ref
  
1
Ref
  
1
Ref
 
   Yes
 
1.83
1.38, 2.42
< 0.001
 
1.86
1.38, 2.49
< 0.001
 
1.90
1.38, 2.61
< 0.001
  Water
1713
   
1571
   
1349
   
   No
 
1
Ref
  
1
Ref
  
1
Ref
 
   Yes
 
1.22
0.16, 9.45
0.849
 
1.08
0.14, 8.18
0.941
 
1.18
0.16, 8.94
0.873
Time period 0–6 months
Nighttime meals 3–4 months
 Breast milk
1713
   
1571
   
1349
   
   No
 
1
Ref
  
1
Ref
  
1
Ref
 
   Yes
 
0.68
0.55, 0.84
< 0.001
 
0.67
0.54, 0.84
< 0.001
 
0.66
0.51, 0.84
0.001
  Formula milk
1713
   
1571
   
1349
   
   No
 
1
Ref
  
1
Ref
  
1
Ref
 
   Yes
 
1.68
1.28, 2.21
< 0.001
 
1.72
1.29, 2.29
< 0.001
 
1.83
1.33, 2.50
< 0.001
  Water
1713
   
1571
   
1349
   
   No
 
1
Ref
  
1
Ref
  
1
Ref
 
   Yes
 
1.23
0.16, 9.39
0.841
 
1.14
0.16, 8.36
0.898
 
1.18
0.16, 8.70
0.872
Nighttime meals 6 months
  Breast milk
1711
   
1569
   
1350
   
   No
 
1
Ref
  
1
Ref
  
1
Ref
 
   Yes
 
0.67
0.55, 0.82
< 0.001
 
0.68
0.55, 0.84
< 0.001
 
0.66
0.52, 0.83
< 0.001
  MCD
1711
   
1569
   
1350
   
   No
 
1
Ref
  
1
Ref
  
1
Ref
 
   Yes
 
1.33
1.00, 1.78
0.054
 
1.21
0.88, 1.66
0.232
 
1.28
0.91, 1.79
0.158
  Water
1711
   
1569
   
1350
   
   No
 
1
Ref
  
1
Ref
  
1
Ref
 
   Yes
 
1.41
0.71, 2.83
0.327
 
1.32
0.62, 2.79
0.474
 
1.20
0.54, 2.66
0.663
Time period 6–12 months
Nighttime meals 3–4 months
  Breast milk
            
   No
1713
1
Ref
 
1571
1
Ref
 
1349
1
Ref
 
   Yes
 
1.18
0.80, 1.74
0.403
 
1.18
0.78, 1.77
0.436
 
1.38
0.87, 2.20
0.170
  Formula milk
1713
   
1571
   
1349
   
   No
 
1
Ref
  
1
Ref
  
1
Ref
 
   Yes
 
0.80
0.47, 1.36
0.412
 
0.81
0.47, 1.40
0.445
 
0.66
0.35, 1.25
0.207
  Water
1713
   
1571
   
1349
   
   No
 
1
Ref
  
1
Ref
  
1
Ref
 
   Yes
 
4.18
0.43, 40.56
0.217
 
4.86
0.49, 48.29
0.177
 
5.10
0.51, 51.48
0.168
Nighttime meals 6 months
  Breast milk
1711
   
1569
   
1350
   
   No
 
1
Ref
  
1
Ref
  
1
Ref
 
   Yes
 
0.79
0.55, 1.14
0.208
 
0.81
0.55, 1.18
0.273
 
0.92
0.60, 1.40
0.693
  MCD
1711
   
1569
   
1350
   
   No
 
1
Ref
  
1
Ref
  
1
Ref
 
   Yes
 
1.08
0.64, 1.82
0.766
 
1.09
0.63, 1.89
0.753
 
0.99
0.53, 1.85
0.976
  Water
1711
   
1569
   
1350
   
   No
 
1
Ref
  
1
Ref
  
1
Ref
 
   Yes
 
1.58
0.55, 4.55
0.394
 
0.74
0.17, 3.20
0.687
 
0.39
0.05, 2.96
0.388
Model 1, adjusted for birth weight and sex; Model 2, additionally adjusted for maternal and paternal education and maternal and paternal smoking; Model 3,
additionally adjusted for maternal weight before pregnancy, maternal weight gain during pregnancy, paternal weight at the first measurement point and maternal
and paternal diabetes mellitus and cardiovascular disease
MCD milk cereal drink, RWG rapid weight gain, nRWG non-rapid weight gain, m months, n number of subjects, OR odds ratios, 95% CI 95% confidence
interval, p p value

Nutrition, feeding practices and RWG during 0–6 months

In logistic regression analyses of risk factors for RWG during 0–6 months and adjusted for birth weight and sex, significant positive associations were found for maternal weight before pregnancy, paternal weight and paternal BMI at the first measurement point (Table 2). In the sensitivity analysis including only the boys, significant positive associations were found for all three parental weight variables but not for parental BMI (Additional file 1).
When focusing on nutrition- and feeding practice-related risk factors, bottle-feeding at 0–1, 3–4 and 6 months was positively associated with RWG during 0–6 months (Table 5). These associations were found in model 1, when adjusted for birth weight and sex, in model 2, when additionally adjusted for parental smoking and education and in model 3, when additionally adjusted for maternal weight before pregnancy, maternal gestational weight gain, paternal weight at the first measurement point and parental diabetes mellitus and cardiovascular disease. Breastfeeding at 3–4 and 6 months was negatively associated with RWG in all three models. Nighttime meals at 3–4 months in model 1 as well as at 6 months in all three models were also negatively associated with RWG. When specifically studying the content of what the infants were given at night, it was shown that breast milk at 3–4 months and at 6 months was negatively associated with RWG, whereas formula milk at 3–4 months was positively associated with RWG (Table 4). MCD given as nighttime meal at 6 months did not reach significance as a risk factor for RWG but was nearly significant in model 1 (p = 0.054). The sensitivity analysis showed similar results except that the associations for nighttime meals did not reach significant values (Additional file 1).
Table 5
Logistic regressions over nutrition- and feeding practice-related risk factors for rapid weight gain during 0–6 months
Risk factors 0–6 m
Model 1
Model 2
Model 3
n (total) = 1780
n in model
OR
95% CI
p
n in model
OR
95% CI
p
n in model
OR
95% CI
p
Breastfeeding
 0 months
1713
   
1577
   
1355
   
  No
 
1
Ref
  
1
Ref
  
1
Ref
 
  Yes
 
0.89
0.58, 1.37
0.590
 
0.89
0.56, 1.41
0.623
 
0.80
0.49, 1.32
0.389
 34 months
1710
   
1568
   
1347
   
  No
 
1
Ref
  
1
Ref
  
1
Ref
 
  Yes
 
0.64
0.50, 0.82
< 0.001
 
0.63
0.48, 0.82
0.001
 
0.59
0.44, 0.79
< 0.001
 6 months
1648
   
1513
   
1305
   
  No
 
1
Ref
  
1
Ref
  
1
Ref
 
  Yes
 
0.64
0.52, 0.78
< 0.001
 
0.64
0.52, 0.80
< 0.001
 
0.64
0.50, 0.82
< 0.001
Bottle-feeding
 0 months
1635
   
1508
   
1302
   
  No
 
1
Ref
  
1
Ref
  
1
Ref
 
  Yes
 
2.06
1.62, 2.61
< 0.001
 
2.15
1.67, 2.76
< 0.001
 
2.26
1.71, 2.97
< 0.001
 34 months
1278
   
1172
   
1004
   
  No
 
1
Ref
  
1
Ref
  
1
Ref
 
  Yes
 
1.73
1.36, 2.20
< 0.001
 
1.70
1.31, 2.19
< 0.001
 
1.69
1.27, 2.23
< 0.001
 6 months
1704
   
1563
   
1346
   
  No
 
1
Ref
  
1
Ref
  
1
Ref
 
  Yes
 
1.65
1.29, 2.10
< 0.001
 
1.66
1.29, 2.14
< 0.001
 
1.59
1.20, 2.10
0.001
Nighttime meals
 34 months
1713
   
1571
   
1349
   
  No
 
1
Ref
  
1
Ref
  
1
Ref
 
  Yes
 
0.78
0.62, 1.00
0.049
 
0.79
0.61, 1.03
0.081
 
0.83
0.63, 1.10
0.200
 6 months
1711
   
1569
   
1350
   
  No
 
1
Ref
  
1
Ref
  
1
Ref
 
  Yes
 
0.73
0.59, 0.90
0.003
 
0.73
0.59, 0.91
0.004
 
0.74
0.58, 0.93
0.011
Model 1, adjusted for birth weight and sex; Model 2, additionally adjusted for maternal and paternal education and maternal and paternal smoking; Model 3,
additionally adjusted for maternal weight before pregnancy, maternal gestational weight gain, paternal weight at the first measurement point and
maternal or paternal diabetes mellitus and cardiovascular disease
MCD milk cereal drink, RWG rapid weight gain, nRWG non-rapid weight gain, m months, n number of subjects, OR odds ratios, 95% CI 95% confidence interval, p p value

Nutrition, feeding practices and RWG during 6–12 months

During 6–12 months, a significant positive association was found between paternal smoking and RWG (Table 2). No significant associations were found in the sensitivity analysis including only the boys (Additional file 1). When focusing on nutrition- and feeding practice-related risk factors, only bottle-feeding at 3–4 months reached significant values as a risk factor for RWG in all three models (Table 6). In the sensitivity analysis the results were similar, except that nighttime meals at 6 months of age were significantly negatively associated with RWG and when studying the content of the meals at night, breast milk given at 6 months of age was negatively associated with RWG in model 1 and 2 (Additional file 1).
Table 6
Logistic regressions over nutrition-and feeding practice-related risk factors for rapid weight gain during 612 months
Risk factors 6–12 m
Model 1
Model 2
Model 3
n (total) = 1780
n in model
OR
95% CI
p
n in model
OR
95% CI
p
n in model
OR
95% CI
p
Breastfeeding
 0 months
1713
   
1577
   
1355
   
  No
 
1
Ref
  
1
Ref
  
1
Ref
 
  Yes
 
0.90
0.43, 1.91
0.790
 
0.91
0.42, 1.96
0.810
 
0.80
0.35, 1.83
0.602
 3–4 months
1710
   
1568
   
1347
   
  No
 
1
Ref
  
1
Ref
  
1
Ref
 
  Yes
 
1.17
0.73, 1.87
0.516
 
1.18
0.72, 1.93
0.503
 
1.35
0.78, 2.36
0.289
 6 months
1648
   
1513
   
1305
   
  No
 
1
Ref
  
1
Ref
  
1
Ref
 
  Yes
 
1.22
0.83, 1.78
0.316
 
1.30
0.87, 1.96
0.202
 
1.50
0.95, 2.37
0.081
MCD
 6 months
1622
   
1494
   
1283
   
  No
 
1
Ref
  
1
Ref
  
1
Ref
 
  Yes
 
1.16
0.79, 1.68
0.452
 
1.14
0.77, 1.70
0.516
 
1.00
0.64, 1.57
0.985
Bottle-feeding
 0 months
1635
   
1508
   
1302
   
  No
 
1
Ref
  
1
Ref
  
1
Ref
 
  Yes
 
0.90
0.59, 1.39
0.647
 
0.87
0.56, 1.37
0.553
 
0.80
0.48, 1.32
0.382
 34 months
1278
   
1172
   
1004
   
  No
 
1
Ref
  
1
Ref
  
1
Ref
 
  Yes
 
2.05
1.24, 3.39
0.005
 
2.08
1.22, 3.55
0.008
 
1.89
1.05, 3.42
0.035
 6 months
1704
   
1563
   
1346
   
  No
 
1
Ref
  
1
Ref
  
1
Ref
 
  Yes
 
1.57
0.97, 2.54
0.069
 
1.43
0.87, 2.34
0.159
 
1.29
0.75, 2.22
0.354
Nighttime meals
 34 months
1713
   
1571
   
1349
   
  No
 
1
Ref
  
1
Ref
  
1
Ref
 
  Yes
 
0.97
0.63, 1.51
0.895
 
0.96
0.61, 1.51
0.855
 
1.14
0.67, 1.92
0.636
Nighttime meals
 6 months
1711
   
1569
   
1350
   
  No
 
1
Ref
  
1
Ref
  
1
Ref
 
  Yes
 
0.78
0.54, 1.12
0.178
 
0.78
0.53, 1.15
0.206
 
0.88
0.57, 1.35
0.549
Model 1, adjusted for birth weight and sex; Model 2, additionally adjusted for maternal and paternal education and maternal and paternal smoking;
Model 3, additionally adjusted for maternal weight before pregnancy, maternal weight gain during pregnancy, paternal weight at the first measurement point and
maternal and paternal diabetes mellitus and cardiovascular disease
MCD milk cereal drink, RWG rapid weight gain, nRWG non-rapid weight gain, m months, n number of subjects, OR odds ratio, 95% CI 95%
confidence interval, p p value

Discussion

In this longitudinal birth cohort study, positive associations between nutrition- and feeding practice-related risk factors and RWG during the first year were found.
During the first 0–3-4 months, 47% of the infants experienced RWG and during 0–6 months the corresponding number was 46%. Not so many studies have examined weight gain during the first six months of life, but in one study with Japanese children, born between 1988 and 2000, 22.7% had RWG between 0 and 3–4 months [32]. In a Brazilian study with children born during 1993–1994 the percentage of children experiencing RWG between 0 and 6 months was 41,9% [33]. In a Swedish study with children born 1984–1985 and an Australian study with children born between 1981 and 1984 the percentages were 25,4% [34] and nearly 22% respectively [35]. One possible explanation for the lower numbers in the studies from the eighties is that not so many children had overweight or obesity back then. However, our results have to be compared with studies of children born in Sweden and other countries during the same time period to confirm if our results are representative for the population and the time period. During 6–12 months, only 8% of the infants in this study experienced RWG. Although the most important period for RWG regarding the prediction of later overweight is unclear, RWG during the first 6 months has been associated with overweight or obesity later in life in earlier studies [3336]. The first 6 months of infancy has been shown to coincide with a gain in fat mass rather than in lean mass [37], and RWG during a period with fat mass accumulation may be one explanation for the association between RWG and later overweight.
With the relatively large number of breastfed infants in this child cohort and earlier published research showing slower weight gain trajectories in breastfed infants compared to infants fed on formula [17], the number of infants experiencing RWG during 0–3-4 and 0–6 months may seem unexpectedly high. However, at birth, 24% of the infants were bottle-fed, and at 3–4 months and 6 months the corresponding numbers were 46% and 76% respectively. Bottle-feeding at 0–1, 3–4 as well as at 6 months remained as a risk factor for RWG during the first 0–3-4 and 0–6 months even after adjustment for other risk factors. The same association was found regarding bottle- feeding at 3–4 months and RWG during 6–12 months. Bottle-feeding has been positively associated with RWG in other studies as well [18, 31], and this regardless of whether the bottle contained expressed breast milk or formula milk [18]. Bottle-feeding has been suggested to give more control to the caregiver and to facilitate a more pressuring, non-responsive feeding style [38, 39], and this may be one explanation for the associations found. It has been shown that when formula milk-feeding mothers used bottles without visual or weight cues of the volume left in the bottle, their responsiveness to their infant’s cues increased [39]. Breastfeeding has been suggested to support the development of responsive feeding, and the hypothesis behind this association is that the mother cannot measure how much milk the infant consumes, and therefore has to trust the infant’s hunger and satiety cues [40]. This may be one explanation to the negative association between breastfeeding and RWG that we found in our study. Responsive feeding has shown promising results regarding a reduced risk of RWG and adiposity in early childhood, although the best way to promote responsive feeding and the reasons behind suggested associations between breastfeeding and maternal responsiveness need to be further investigated [40, 41]. Other reasons for associations between bottle-feeding and RWG that have been suggested are a large bottle size [31, 42], feeding on a schedule [14], as well as infant initiated bottle emptying [31, 43]. There is still no consensus regarding the best feeding practice from a bottle in order to avoid RWG and more research regarding this topic is needed.
Another possible explanation for the association between bottle-feeding and RWG found may be the content of the bottle and the relatively high intake of protein associated with formula milk [19]. Newer formula milk products with a lower and better protein quality have been developed [20], but they still contain a higher protein quantity than does breast milk.
Nighttime meals containing formula milk were positively associated with RWG during the first 0–3-4 and 0–6 months while breastmilk given at night were negatively associated with RWG. Besides risk factors associated with bottle-feeding, earlier research has shown that nighttime feeding was associated with shorter sleep duration and increased energy intake, and both factors may lead to overweight later in life [44, 45]. It has been suggested that nighttime milk may be beneficial in breastfed children but should cease after weaning [44, 46]. If nighttime feeding with formula and the associated RWG seen in our study is associated with later overweight as well and if breastmilk given at night may protect against this development need further investigation.
We also found that breastfeeding at 3–4 months was negatively associated with RWG between 0 and 3-4 months and breastfeeding at both 3–4 and 6 months were negatively associated with RWG between 0 and 6 months. This is in line with other studies from high-income countries that have shown that breastfed children have a slower weight gain trajectory than formula-fed children [17, 19]. Breastfeeding has as mentioned above, in contrast to bottle-feeding been suggested to support responsive feeding [40]. Whether the slower weight gain seen in breastfed children protects against later adiposity is debated, there are studies both in favor of [3, 47], and against that hypothesis [3, 48]. The absence of effect on adiposity which was found in the latter one, a study from Belarus have been suggested as being dependent on the reduced number of bacterial infections to which breastfeeding contributed, suggesting that the protective role of breastfeeding may be more relevant in Westernized settings [49].
Regarding the biological, socioeconomic and parental health-related risk factors for RWG this study showed that maternal weight before pregnancy, maternal gestational weight gain and paternal weight were positively associated with RWG during the first 0–3-4 months in a model adjusted for birth weight and sex. Maternal weight before pregnancy and paternal weight were risk factors for RWG during the period 0–6 months as well. Paternal BMI but not maternal BMI before pregnancy was associated with RWG during 0–3-4 and 0–6 months in this study. There are several studies that have shown associations between maternal overweight or maternal gestational weight gain [3, 8]. The importance of paternal factors for offspring overweight are still not clear, but studies have shown associations between paternal overweight and RWG [8]. It would be interesting to study in this cohort if the associations between maternal pre-pregnancy weight, gestational weight gain and parental overweight also are associated with overweight or obesity later in life. Also paternal smoking was associated with RWG between 6 and 12 months and can be considered as a socioeconomic factor, although other mechanisms could not be ruled out. Factors associated with low socioeconomic status have been connected to both RWG [15] and overweight or obesity in other studies as well [8], although the impact of paternal socioeconomic status as well as other paternal factors in relation to childhood overweight is still not fully understood [3].
Separate sensitivity analyses including the 902 boys were performed for all analyses included in this study and the main results remained in those analyses with some exceptions (Additional file 1).
A limitation of our study was the lack of more detailed information on different aspects of nutrition and feeding practices, such as volumes, exact nutritional content at every measurement point and exclusive breastfeeding. Another limitation was our exclusion of infants with missing weight data at 0, 3–4, 6 and 12 months or children weighed outside our decided age limits, which could represent a possible bias that could not be controlled for. This was mainly due to only include measurements close to the measurement points and wider limits for this would affect precision. Worth to mention is that the excluded children had a significantly lower birth weight and therefore may have had an impact on the proportion of children with RWG. There was a risk for selection bias, where children from families that chose to not participate may have been the most socially disadvantaged families with the highest frequency of children with overweight and obesity. We know from other studies that such families often decline to take part in these kind of studies [50]. Measurement error, misclassification and error in the transmission of data to the data files, were not expected to be systematic and were therefore not considered to lead to information bias. Regarding recall-bias, the questionnaires were completed at the CHCCs in connection with each of the nine measurement points and recall-bias should therefore not be a great problem. The major strength of our study was the large sample representing two thirds of all births during the study period in this region of Sweden. They were also followed prospectively over time, with a low loss to follow up. The study used standardized measurements and repeated questionnaires, reducing the risk of information bias. Furthermore, the main outcome variables were based on weight measurements carried out by trained child health care nurses strengthening the reliability of the results.

Conclusions

We found that RWG was more common during the first 6 months of life than during the following 6 months. Bottle-feeding and nighttime meals containing formula milk were independent risk factors for RWG during the first 6 months, whereas breastfeeding during the same period was negatively associated with RWG. Our results suggest that preventive interventions against RWG should start early in life and that bottle-feeding as well as nighttime meals, both modifiable risk factors should be addressed. Furthermore, there is a need for more research regarding the best feeding practice from a bottle in order to avoid rapid weight gain.

Acknowledgments

We thank all the infants, their parents and the staff in the Halland Health and growth Study.
Written informed consent was obtained from the parents of all the participating infants.
This study was approved by The Swedish Ethical Review Authority, (Lund), study number: DNR:299/2007.
Not applicable.

Competing interests

The authors declare that they have no competing interests.
Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://​creativecommons.​org/​licenses/​by/​4.​0/​. The Creative Commons Public Domain Dedication waiver (http://​creativecommons.​org/​publicdomain/​zero/​1.​0/​) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Literatur
1.
Zurück zum Zitat Wang Y, Lobstein T. Worldwide trends in childhood overweight and obesity. Int J Pediatr Obes. 2006;1(1):11–25.CrossRefPubMed Wang Y, Lobstein T. Worldwide trends in childhood overweight and obesity. Int J Pediatr Obes. 2006;1(1):11–25.CrossRefPubMed
2.
Zurück zum Zitat de Onis M, Blossner M, Borghi E. Global prevalence and trends of overweight and obesity among preschool children. Am J Clin Nutr. 2010;92(5):1257–64.CrossRefPubMed de Onis M, Blossner M, Borghi E. Global prevalence and trends of overweight and obesity among preschool children. Am J Clin Nutr. 2010;92(5):1257–64.CrossRefPubMed
3.
Zurück zum Zitat Woo Baidal JA, Locks LM, Cheng ER, Blake-Lamb TL, Perkins ME, Taveras EM. Risk factors for childhood obesity in the first 1,000 days: a systematic review. Am J Prev Med. 2016;50(6):761–79.CrossRefPubMed Woo Baidal JA, Locks LM, Cheng ER, Blake-Lamb TL, Perkins ME, Taveras EM. Risk factors for childhood obesity in the first 1,000 days: a systematic review. Am J Prev Med. 2016;50(6):761–79.CrossRefPubMed
4.
Zurück zum Zitat Ong KK, Loos RJ. Rapid infancy weight gain and subsequent obesity: systematic reviews and hopeful suggestions. Acta Paediatr. 2006;95(8):904–8.CrossRefPubMed Ong KK, Loos RJ. Rapid infancy weight gain and subsequent obesity: systematic reviews and hopeful suggestions. Acta Paediatr. 2006;95(8):904–8.CrossRefPubMed
5.
Zurück zum Zitat Zheng M, Lamb KE, Grimes C, Laws R, Bolton K, Ong KK, et al. Rapid weight gain during infancy and subsequent adiposity: a systematic review and meta-analysis of evidence. Obes Rev. 2018;19(3):321–32.CrossRefPubMed Zheng M, Lamb KE, Grimes C, Laws R, Bolton K, Ong KK, et al. Rapid weight gain during infancy and subsequent adiposity: a systematic review and meta-analysis of evidence. Obes Rev. 2018;19(3):321–32.CrossRefPubMed
6.
Zurück zum Zitat Araujo de Franca GV, De Lucia RE, Horta BL, Gigante DP, Yudkin JS, Ong KK, et al. Associations of birth weight, linear growth and relative weight gain throughout life with abdominal fat depots in adulthood: the 1982 Pelotas (Brazil) birth cohort study. Int J Obes. 2016;40(1):14–21.CrossRef Araujo de Franca GV, De Lucia RE, Horta BL, Gigante DP, Yudkin JS, Ong KK, et al. Associations of birth weight, linear growth and relative weight gain throughout life with abdominal fat depots in adulthood: the 1982 Pelotas (Brazil) birth cohort study. Int J Obes. 2016;40(1):14–21.CrossRef
7.
Zurück zum Zitat Liem ET, van Buuren S, Sauer PJ, Jaspers M, Stolk RP, Reijneveld SA. Growth during infancy and childhood, and adiposity at age 16 years: ages 2 to 7 years are pivotal. J Pediatr. 2013;162(2):287–92 e2.CrossRefPubMed Liem ET, van Buuren S, Sauer PJ, Jaspers M, Stolk RP, Reijneveld SA. Growth during infancy and childhood, and adiposity at age 16 years: ages 2 to 7 years are pivotal. J Pediatr. 2013;162(2):287–92 e2.CrossRefPubMed
8.
Zurück zum Zitat Griffiths LJ, Hawkins SS, Cole TJ, Dezateux C. Risk factors for rapid weight gain in preschool children: findings from a UK-wide prospective study. Int J Obes. 2010;34(4):624–32.CrossRef Griffiths LJ, Hawkins SS, Cole TJ, Dezateux C. Risk factors for rapid weight gain in preschool children: findings from a UK-wide prospective study. Int J Obes. 2010;34(4):624–32.CrossRef
9.
Zurück zum Zitat Yang S, Mei H, Mei H, Yang Y, Li N, Tan Y, et al. Risks of maternal prepregnancy overweight/obesity, excessive gestational weight gain, and bottle-feeding in infancy rapid weight gain: evidence from a cohort study in China. Sci China Life Sci. 2019;62(12):1580–9.CrossRefPubMed Yang S, Mei H, Mei H, Yang Y, Li N, Tan Y, et al. Risks of maternal prepregnancy overweight/obesity, excessive gestational weight gain, and bottle-feeding in infancy rapid weight gain: evidence from a cohort study in China. Sci China Life Sci. 2019;62(12):1580–9.CrossRefPubMed
10.
Zurück zum Zitat Hu Z, Tylavsky FA, Han JC, Kocak M, Fowke JH, Davis RL, et al. Maternal metabolic factors during pregnancy predict early childhood growth trajectories and obesity risk: the CANDLE study. Int J Obes. 2019;43(10):1914–22.CrossRef Hu Z, Tylavsky FA, Han JC, Kocak M, Fowke JH, Davis RL, et al. Maternal metabolic factors during pregnancy predict early childhood growth trajectories and obesity risk: the CANDLE study. Int J Obes. 2019;43(10):1914–22.CrossRef
11.
Zurück zum Zitat Subhan FB, Colman I, McCargar L, Bell RC, Team APS. Higher pre-pregnancy BMI and excessive gestational weight gain are risk factors for rapid weight gain in infants. Matern Child Health J. 2017;21(6):1396–407.CrossRefPubMed Subhan FB, Colman I, McCargar L, Bell RC, Team APS. Higher pre-pregnancy BMI and excessive gestational weight gain are risk factors for rapid weight gain in infants. Matern Child Health J. 2017;21(6):1396–407.CrossRefPubMed
12.
Zurück zum Zitat Baker JL, Michaelsen KF, Rasmussen KM, Sørensen TI. Maternal prepregnant body mass index, duration of breastfeeding, and timing of complementary food introduction are associated with infant weight gain. Am J Clin Nutr. 2004;80(6):1579–88.CrossRefPubMed Baker JL, Michaelsen KF, Rasmussen KM, Sørensen TI. Maternal prepregnant body mass index, duration of breastfeeding, and timing of complementary food introduction are associated with infant weight gain. Am J Clin Nutr. 2004;80(6):1579–88.CrossRefPubMed
13.
Zurück zum Zitat Pesch MH, Pont CM, Lumeng JC, McCaffery H, Tan CC. Mother and infant predictors of rapid infant weight gain. Clin Pediatr (Phila). 2019;58(14):1515–21.CrossRef Pesch MH, Pont CM, Lumeng JC, McCaffery H, Tan CC. Mother and infant predictors of rapid infant weight gain. Clin Pediatr (Phila). 2019;58(14):1515–21.CrossRef
14.
Zurück zum Zitat Mihrshahi S, Battistutta D, Magarey A, Daniels LA. Determinants of rapid weight gain during infancy: baseline results from the NOURISH randomised controlled trial. BMC Pediatr. 2011;11:99.CrossRefPubMedPubMedCentral Mihrshahi S, Battistutta D, Magarey A, Daniels LA. Determinants of rapid weight gain during infancy: baseline results from the NOURISH randomised controlled trial. BMC Pediatr. 2011;11:99.CrossRefPubMedPubMedCentral
15.
Zurück zum Zitat Lourenco ASN, Neri DA, Konstantyner T, Palma D, Oliveira FLC. Factors associated with rapid weight gain in preschool children in public day care centers. Rev Paul Pediatr. 2018;36(3):292–300.CrossRefPubMedPubMedCentral Lourenco ASN, Neri DA, Konstantyner T, Palma D, Oliveira FLC. Factors associated with rapid weight gain in preschool children in public day care centers. Rev Paul Pediatr. 2018;36(3):292–300.CrossRefPubMedPubMedCentral
16.
Zurück zum Zitat Singhal A. Long-term adverse effects of early growth acceleration or catch-up growth. Ann Nutr Metab. 2017;70(3):236–40.CrossRefPubMed Singhal A. Long-term adverse effects of early growth acceleration or catch-up growth. Ann Nutr Metab. 2017;70(3):236–40.CrossRefPubMed
17.
Zurück zum Zitat Dewey KG. Growth characteristics of breast-fed compared to formula-fed infants. Biol Neonate. 1998;74(2):94–105.CrossRefPubMed Dewey KG. Growth characteristics of breast-fed compared to formula-fed infants. Biol Neonate. 1998;74(2):94–105.CrossRefPubMed
18.
Zurück zum Zitat Li R, Magadia J, Fein SB, Grummer-Strawn LM. Risk of bottle-feeding for rapid weight gain during the first year of life. Arch Pediatr Adolesc Med. 2012;166(5):431–6.CrossRefPubMed Li R, Magadia J, Fein SB, Grummer-Strawn LM. Risk of bottle-feeding for rapid weight gain during the first year of life. Arch Pediatr Adolesc Med. 2012;166(5):431–6.CrossRefPubMed
19.
Zurück zum Zitat Heinig MJ, Nommsen LA, Peerson JM, Lonnerdal B, Dewey KG. Energy and protein intakes of breast-fed and formula-fed infants during the first year of life and their association with growth velocity: the DARLING study. Am J Clin Nutr. 1993;58(2):152–61.CrossRefPubMed Heinig MJ, Nommsen LA, Peerson JM, Lonnerdal B, Dewey KG. Energy and protein intakes of breast-fed and formula-fed infants during the first year of life and their association with growth velocity: the DARLING study. Am J Clin Nutr. 1993;58(2):152–61.CrossRefPubMed
20.
Zurück zum Zitat Koletzko B, Demmelmair H, Grote V, Prell C, Weber M. High protein intake in young children and increased weight gain and obesity risk. Am J Clin Nutr. 2016;103(2):303–4.CrossRefPubMed Koletzko B, Demmelmair H, Grote V, Prell C, Weber M. High protein intake in young children and increased weight gain and obesity risk. Am J Clin Nutr. 2016;103(2):303–4.CrossRefPubMed
21.
Zurück zum Zitat Almquist-Tangen G, Dahlgren J, Roswall J, Bergman S, Alm B. Milk cereal drink increases BMI risk at 12 and 18 months, but formula does not. Acta Paediatr. 2013;102(12):1174–9.CrossRefPubMed Almquist-Tangen G, Dahlgren J, Roswall J, Bergman S, Alm B. Milk cereal drink increases BMI risk at 12 and 18 months, but formula does not. Acta Paediatr. 2013;102(12):1174–9.CrossRefPubMed
22.
Zurück zum Zitat Wiberger M, Eiben G, Lissner L, Mehlig K, Papoutsou S, Hunsberger M. Children consuming milk cereal drink are at increased risk for overweight: the IDEFICS Sweden study, on behalf of the IDEFICS consortium. Scand J Public Health. 2014;42(6):518–24.CrossRefPubMed Wiberger M, Eiben G, Lissner L, Mehlig K, Papoutsou S, Hunsberger M. Children consuming milk cereal drink are at increased risk for overweight: the IDEFICS Sweden study, on behalf of the IDEFICS consortium. Scand J Public Health. 2014;42(6):518–24.CrossRefPubMed
24.
Zurück zum Zitat Almquist-Tangen G, Bergman S, Dahlgren J, Lindholm A, Roswall J, Alm B. Consuming milk cereal drinks at one year of age was associated with a twofold risk of being overweight at the age of five. Acta Paediatr. 2019;108(6):1115–21.CrossRefPubMed Almquist-Tangen G, Bergman S, Dahlgren J, Lindholm A, Roswall J, Alm B. Consuming milk cereal drinks at one year of age was associated with a twofold risk of being overweight at the age of five. Acta Paediatr. 2019;108(6):1115–21.CrossRefPubMed
25.
Zurück zum Zitat Dattilo AM, Birch L, Krebs NF, Lake A, Taveras EM, Saavedra JM. Need for early interventions in the prevention of pediatric overweight: a review and upcoming directions. J Obes. 2012;2012:123023.CrossRefPubMedPubMedCentral Dattilo AM, Birch L, Krebs NF, Lake A, Taveras EM, Saavedra JM. Need for early interventions in the prevention of pediatric overweight: a review and upcoming directions. J Obes. 2012;2012:123023.CrossRefPubMedPubMedCentral
26.
Zurück zum Zitat Dattilo AM. Modifiable risk factors and interventions for childhood obesity prevention within the first 1,000 days. Nestle Nutr Inst Workshop Ser. 2017;87:183–96.CrossRefPubMed Dattilo AM. Modifiable risk factors and interventions for childhood obesity prevention within the first 1,000 days. Nestle Nutr Inst Workshop Ser. 2017;87:183–96.CrossRefPubMed
27.
Zurück zum Zitat Ong KK, Emmett PM, Noble S, Ness A, Dunger DB. Dietary energy intake at the age of 4 months predicts postnatal weight gain and childhood body mass index. Pediatrics. 2006;117(3):e503–8.CrossRefPubMed Ong KK, Emmett PM, Noble S, Ness A, Dunger DB. Dietary energy intake at the age of 4 months predicts postnatal weight gain and childhood body mass index. Pediatrics. 2006;117(3):e503–8.CrossRefPubMed
28.
Zurück zum Zitat Gerd AT, Bergman S, Dahlgren J, Roswall J, Alm B. Factors associated with discontinuation of breastfeeding before 1 month of age. Acta Paediatr. 2012;101(1):55–60.CrossRefPubMed Gerd AT, Bergman S, Dahlgren J, Roswall J, Alm B. Factors associated with discontinuation of breastfeeding before 1 month of age. Acta Paediatr. 2012;101(1):55–60.CrossRefPubMed
29.
Zurück zum Zitat Karlberg J, Luo ZC, Albertsson-Wikland K. Body mass index reference values (mean and SD) for Swedish children. Acta Paediatr. 2001;90(12):1427–34.CrossRefPubMed Karlberg J, Luo ZC, Albertsson-Wikland K. Body mass index reference values (mean and SD) for Swedish children. Acta Paediatr. 2001;90(12):1427–34.CrossRefPubMed
30.
Zurück zum Zitat Niklasson A, Ericson A, Fryer JG, Karlberg J, Lawrence C, Karlberg P. An update of the Swedish reference standards for weight, length and head circumference at birth for given gestational age (1977-1981). Acta Paediatr Scand. 1991;80(8–9):756–62.CrossRefPubMed Niklasson A, Ericson A, Fryer JG, Karlberg J, Lawrence C, Karlberg P. An update of the Swedish reference standards for weight, length and head circumference at birth for given gestational age (1977-1981). Acta Paediatr Scand. 1991;80(8–9):756–62.CrossRefPubMed
31.
Zurück zum Zitat Appleton J, Russell CG, Laws R, Fowler C, Campbell K, Denney-Wilson E. Infant formula feeding practices associated with rapid weight gain: A systematic review. Matern Child Nutr. 2018:e12602. Appleton J, Russell CG, Laws R, Fowler C, Campbell K, Denney-Wilson E. Infant formula feeding practices associated with rapid weight gain: A systematic review. Matern Child Nutr. 2018:e12602.
32.
Zurück zum Zitat Akaboshi I, Haraguchi Y, Mizumoto Y, Kitano A, Kan H. Taller stature after postnatal rapid weight gain in early infancy predicts overweight status at age 3. Acta Paediatr. 2008;97(10):1460–4.CrossRefPubMed Akaboshi I, Haraguchi Y, Mizumoto Y, Kitano A, Kan H. Taller stature after postnatal rapid weight gain in early infancy predicts overweight status at age 3. Acta Paediatr. 2008;97(10):1460–4.CrossRefPubMed
33.
Zurück zum Zitat Goncalves FC, Amorim RJ, Eickmann SH, Lira PI, Lima MC. The influence of low birth weight body proportionality and postnatal weight gain on anthropometric measures of 8-year-old children: a cohort study in Northeast Brazil. Eur J Clin Nutr. 2014;68(8):876–81.CrossRefPubMed Goncalves FC, Amorim RJ, Eickmann SH, Lira PI, Lima MC. The influence of low birth weight body proportionality and postnatal weight gain on anthropometric measures of 8-year-old children: a cohort study in Northeast Brazil. Eur J Clin Nutr. 2014;68(8):876–81.CrossRefPubMed
34.
Zurück zum Zitat Ekelund U, Ong K, Linne Y, Neovius M, Brage S, Dunger DB, et al. Upward weight percentile crossing in infancy and early childhood independently predicts fat mass in young adults: the Stockholm weight development study (SWEDES). Am J Clin Nutr. 2006;83(2):324–30.CrossRefPubMed Ekelund U, Ong K, Linne Y, Neovius M, Brage S, Dunger DB, et al. Upward weight percentile crossing in infancy and early childhood independently predicts fat mass in young adults: the Stockholm weight development study (SWEDES). Am J Clin Nutr. 2006;83(2):324–30.CrossRefPubMed
35.
Zurück zum Zitat Sutharsan R, O’Callaghan MJ, Williams G, Najman JM, Mamun AA. Rapid growth in early childhood associated with young adult overweight and obesity--evidence from a community based cohort study. J Health Popul Nutr. 2015;33:13.CrossRefPubMedPubMedCentral Sutharsan R, O’Callaghan MJ, Williams G, Najman JM, Mamun AA. Rapid growth in early childhood associated with young adult overweight and obesity--evidence from a community based cohort study. J Health Popul Nutr. 2015;33:13.CrossRefPubMedPubMedCentral
36.
37.
Zurück zum Zitat Veldhuis JD, Roemmich JN, Richmond EJ, Rogol AD, Lovejoy JC, Sheffield-Moore M, et al. Endocrine control of body composition in infancy, childhood, and puberty. Endocr Rev. 2005;26(1):114–46.CrossRefPubMed Veldhuis JD, Roemmich JN, Richmond EJ, Rogol AD, Lovejoy JC, Sheffield-Moore M, et al. Endocrine control of body composition in infancy, childhood, and puberty. Endocr Rev. 2005;26(1):114–46.CrossRefPubMed
38.
Zurück zum Zitat Crow RA, Fawcett JN, Wright P. Maternal behavior during breast- and bottle-feeding. J Behav Med. 1980;3(3):259–77.CrossRefPubMed Crow RA, Fawcett JN, Wright P. Maternal behavior during breast- and bottle-feeding. J Behav Med. 1980;3(3):259–77.CrossRefPubMed
39.
Zurück zum Zitat Ventura AK, Pollack GR. A pilot study comparing opaque, weighted bottles with conventional, clear bottles for infant feeding. Appetite. 2015;85:178–84.CrossRefPubMed Ventura AK, Pollack GR. A pilot study comparing opaque, weighted bottles with conventional, clear bottles for infant feeding. Appetite. 2015;85:178–84.CrossRefPubMed
40.
Zurück zum Zitat Ventura AK. Associations between breastfeeding and maternal responsiveness: a systematic review of the literature. Adv Nutr. 2017;8(3):495–510.CrossRefPubMedPubMedCentral Ventura AK. Associations between breastfeeding and maternal responsiveness: a systematic review of the literature. Adv Nutr. 2017;8(3):495–510.CrossRefPubMedPubMedCentral
41.
Zurück zum Zitat Lumeng JC, Taveras EM, Birch L, Yanovski SZ. Prevention of obesity in infancy and early childhood: a National Institutes of Health workshop. JAMA Pediatr. 2015;169(5):484–90.CrossRefPubMedPubMedCentral Lumeng JC, Taveras EM, Birch L, Yanovski SZ. Prevention of obesity in infancy and early childhood: a National Institutes of Health workshop. JAMA Pediatr. 2015;169(5):484–90.CrossRefPubMedPubMedCentral
42.
Zurück zum Zitat Wood CT, Skinner AC, Yin HS, Rothman RL, Sanders LM, Delamater AM, et al. Bottle Size and Weight Gain in Formula-Fed Infants. Pediatrics. 2016;138(1). Wood CT, Skinner AC, Yin HS, Rothman RL, Sanders LM, Delamater AM, et al. Bottle Size and Weight Gain in Formula-Fed Infants. Pediatrics. 2016;138(1).
43.
Zurück zum Zitat Li R, Fein SB, Grummer-Strawn LM. Association of breastfeeding intensity and bottle-emptying behaviors at early infancy with infants' risk for excess weight at late infancy. Pediatrics. 2008;122(Suppl 2):S77–84.CrossRefPubMed Li R, Fein SB, Grummer-Strawn LM. Association of breastfeeding intensity and bottle-emptying behaviors at early infancy with infants' risk for excess weight at late infancy. Pediatrics. 2008;122(Suppl 2):S77–84.CrossRefPubMed
44.
Zurück zum Zitat McDonald L, Wardle J, Llewellyn CH, Johnson L, van Jaarsveld CH, Syrad H, et al. Sleep and nighttime energy consumption in early childhood: a population-based cohort study. Pediatr Obes. 2015;10(6):454–60.CrossRefPubMedPubMedCentral McDonald L, Wardle J, Llewellyn CH, Johnson L, van Jaarsveld CH, Syrad H, et al. Sleep and nighttime energy consumption in early childhood: a population-based cohort study. Pediatr Obes. 2015;10(6):454–60.CrossRefPubMedPubMedCentral
45.
Zurück zum Zitat Scharf RJ, DeBoer MD. Sleep timing and longitudinal weight gain in 4- and 5-year-old children. Pediatr Obes. 2015;10(2):141–8.CrossRefPubMed Scharf RJ, DeBoer MD. Sleep timing and longitudinal weight gain in 4- and 5-year-old children. Pediatr Obes. 2015;10(2):141–8.CrossRefPubMed
46.
Zurück zum Zitat Touchette E, Petit D, Paquet J, Boivin M, Japel C, Tremblay RE, et al. Factors associated with fragmented sleep at night across early childhood. Arch Pediatr Adolesc Med. 2005;159(3):242–9.CrossRefPubMed Touchette E, Petit D, Paquet J, Boivin M, Japel C, Tremblay RE, et al. Factors associated with fragmented sleep at night across early childhood. Arch Pediatr Adolesc Med. 2005;159(3):242–9.CrossRefPubMed
47.
Zurück zum Zitat Jwa SC, Fujiwara T, Kondo N. Latent protective effects of breastfeeding on late childhood overweight and obesity: a nationwide prospective study. Obesity (Silver Spring, Md). 2014;22(6):1527–37.CrossRef Jwa SC, Fujiwara T, Kondo N. Latent protective effects of breastfeeding on late childhood overweight and obesity: a nationwide prospective study. Obesity (Silver Spring, Md). 2014;22(6):1527–37.CrossRef
48.
Zurück zum Zitat Kramer MS, Matush L, Vanilovich I, Platt RW, Bogdanovich N, Sevkovskaya Z, et al. Effects of prolonged and exclusive breastfeeding on child height, weight, adiposity, and blood pressure at age 6.5 y: evidence from a large randomized trial. Am J Clin Nutr. 2007;86(6):1717–21.CrossRefPubMed Kramer MS, Matush L, Vanilovich I, Platt RW, Bogdanovich N, Sevkovskaya Z, et al. Effects of prolonged and exclusive breastfeeding on child height, weight, adiposity, and blood pressure at age 6.5 y: evidence from a large randomized trial. Am J Clin Nutr. 2007;86(6):1717–21.CrossRefPubMed
49.
50.
Zurück zum Zitat Regber S, Novak M, Eiben G, Lissner L, Hense S, Sandstrom TZ, et al. Assessment of selection bias in a health survey of children and families - the IDEFICS Sweden-study. BMC Public Health. 2013;13:418.CrossRefPubMedPubMedCentral Regber S, Novak M, Eiben G, Lissner L, Hense S, Sandstrom TZ, et al. Assessment of selection bias in a health survey of children and families - the IDEFICS Sweden-study. BMC Public Health. 2013;13:418.CrossRefPubMedPubMedCentral
Metadaten
Titel
Nutrition- and feeding practice-related risk factors for rapid weight gain during the first year of life: a population-based birth cohort study
verfasst von
Annelie Lindholm
Stefan Bergman
Bernt Alm
Ann Bremander
Jovanna Dahlgren
Josefine Roswall
Carin Staland-Nyman
Gerd Almquist-Tangen
Publikationsdatum
01.12.2020
Verlag
BioMed Central
Erschienen in
BMC Pediatrics / Ausgabe 1/2020
Elektronische ISSN: 1471-2431
DOI
https://doi.org/10.1186/s12887-020-02391-4

Weitere Artikel der Ausgabe 1/2020

BMC Pediatrics 1/2020 Zur Ausgabe

Mit dem Seitenschneider gegen das Reißverschluss-Malheur

03.06.2024 Urologische Notfallmedizin Nachrichten

Wer ihn je erlebt hat, wird ihn nicht vergessen: den Schmerz, den die beim Öffnen oder Schließen des Reißverschlusses am Hosenschlitz eingeklemmte Haut am Penis oder Skrotum verursacht. Eine neue Methode für rasche Abhilfe hat ein US-Team getestet.

Ähnliche Überlebensraten nach Reanimation während des Transports bzw. vor Ort

29.05.2024 Reanimation im Kindesalter Nachrichten

Laut einer Studie aus den USA und Kanada scheint es bei der Reanimation von Kindern außerhalb einer Klinik keinen Unterschied für das Überleben zu machen, ob die Wiederbelebungsmaßnahmen während des Transports in die Klinik stattfinden oder vor Ort ausgeführt werden. Jedoch gibt es dabei einige Einschränkungen und eine wichtige Ausnahme.

Alter der Mutter beeinflusst Risiko für kongenitale Anomalie

28.05.2024 Kinder- und Jugendgynäkologie Nachrichten

Welchen Einfluss das Alter ihrer Mutter auf das Risiko hat, dass Kinder mit nicht chromosomal bedingter Malformation zur Welt kommen, hat eine ungarische Studie untersucht. Sie zeigt: Nicht nur fortgeschrittenes Alter ist riskant.

Begünstigt Bettruhe der Mutter doch das fetale Wachstum?

Ob ungeborene Kinder, die kleiner als die meisten Gleichaltrigen sind, schneller wachsen, wenn die Mutter sich mehr ausruht, wird diskutiert. Die Ergebnisse einer US-Studie sprechen dafür.

Update Pädiatrie

Bestellen Sie unseren Fach-Newsletter und bleiben Sie gut informiert.