Inn J Pediatr

Image Credit:Inn J Pediatr

Breastfeeding As a Protective Factor for Childhood Obesity

Author(s):
Sabina CaticSabina Catic1,*, Agima LjaljevicAgima Ljaljevic1, Enisa KujundzicEnisa Kujundzic1, Muhedin Kadic DinoMuhedin Kadic Dino2, Vilnerina RamcilovicVilnerina Ramcilovic1
1Institute for Public Health of Montenegro, Podgorica, Montenegro
2Clinical Center of Montenegro, Podgorica, Montenegro

Innovative Journal of Pediatrics:Vol. 36, issue 1; e164083
Published online:Feb 20, 2026
Article type:Research Article
Received:Jun 27, 2025
Accepted:Jan 05, 2026
How to Cite:Catic S, Ljaljevic A, Kujundzic E, Dino MK, Ramcilovic V. Breastfeeding As a Protective Factor for Childhood Obesity. Inn J Pediatr. 2026;36(1):e164083. doi: https://doi.org/10.5812/ijpediatr-164083

Abstract

Background:

Numerous studies indicate that weight gain during early childhood is strongly associated with obesity later in life, as well as with adult morbidity. There is increasing evidence suggesting that breastfeeding provides protection against the development of overweight and obesity in young children and adolescents.

Objectives:

The aim of this study was to determine whether breastfeeding and its duration are related to obesity in children, assessed through anthropometric parameters: Body Mass Index (BMI), head circumference, upper arm circumference, skinfold thickness, and chest circumference, in children aged 0 to 5 years in Montenegro.

Methods:

A cross-sectional study was conducted on a representative sample of 7.811 children aged 0 to 5 years, of both genders. Data collection involved anthropometric measurements, including height, head circumference, upper arm circumference, chest circumference, skinfold thickness, and body weight. These measurements were recorded in standardized protocols alongside a questionnaire designed for this specific research, which included questions on breastfeeding status, duration, and any chronic disease diagnoses. The questionnaire was completed by parents or guardians. The study was conducted in pediatric counseling clinics in primary healthcare centers, preschool institutions, and maternity departments in Montenegro. Correlation analyses and linear regression analyses were conducted to examine the association between breastfeeding and standardized anthropometric parameters. In the regression analyses, breastfeeding was treated as a dichotomous variable (breastfeeding status), a continuous variable (duration in months), and a categorical variable, in order to assess the consistency of the observed effects. The regression models were first analyzed without adjustment (univariate models) and subsequently adjusted for sex and age as potential confounding variables, as well as for their combined effect.

Results:

Among the total sample, breastfed children (76.7%) had significantly lower mean values for head circumference, upper arm circumference, and chest circumference compared to non-breastfed children (23.3%) (P < 0.00). Gender-based analysis yielded similar results. The average values of anthropometric parameters in non-breastfed children were lower than in children breastfed for 0 - 6 months but higher than in children breastfed for more than 6 months. Regression analysis demonstrated a significant influence of breastfeeding and breastfeeding duration on anthropometric parameters. Breastfeeding status had the greatest effect on head circumference (0.070), upper arm circumference (0.067), and chest circumference (0.044), while breastfeeding duration significantly impacted BMI (0.125), body weight (0.121), head circumference (0.103), height (0.099), and chest circumference (0.048).

Conclusions:

The results indicate that breastfeeding is a significant predictor of obesity in later life in both genders.

1. Background

Excessive body weight and childhood obesity have been recognized as global public health concerns for decades. The prevalence of childhood overweight is increasing worldwide (1). WHO estimates indicate that in 2019, 38.2 million children under the age of five were overweight or obese (2). If these trends persist, the prevalence of overweight among children under five is projected to rise from 7% in 2012 to 11% by 2025 (2).
Early childhood weight gain is strongly associated with obesity in later life and increased morbidity. Studies have demonstrated links between early metabolic disorders and later cardiovascular diseases (3, 4), as well as an increased risk of metabolic complications such as type 2 diabetes mellitus and associated comorbidities (5). Furthermore, recent evidence indicates that metabolic alterations in obese children, including elevated insulin and uric acid levels, may contribute to the early development of hypertension and other cardiovascular risk factors (6), in addition to psychological distress resulting from peer and family stigmatization (7). Identifying nutritional disorders early is crucial, as the first five years of life represent a critical window for obesity prevention (8-11). Preventive measures are far more effective and economically justified than obesity treatment (9). In this context, recent research highlights the importance of community-based strategies and the assessment of community readiness as key prerequisites for the successful implementation of childhood obesity prevention programs (12).
Research suggests that breastfeeding provides protection against overweight in children and adolescents. Infants on a natural diet exhibit lower weight gain in the first six months than formula-fed infants, which lowers the risk of future obesity (3). Breastfeeding has been proposed as a preventive intervention against childhood obesity (9). Human milk contains hormones, neuropeptides, and growth factors that influence growth, development, and self-regulation of food intake (11). Additionally, it is easily digestible and meets all infant nutritional needs, delaying the introduction of solid foods and reducing obesity risk (10, 13).

2. Objectives

This study aims to determine whether breastfeeding and its duration are related to childhood obesity by analyzing anthropometric parameters [Body Mass Index (BMI), chest circumference, upper arm circumference, skinfold thickness, and head circumference] in children aged 0 - 5 years in Montenegro.

3. Methods

A cross-sectional study was conducted on a representative sample of 7.811 children aged 0 - 59 months, accounting for approximately 18% of Montenegro's total child population in this age group. The sample was defined based on the number of children under five in all Montenegrin municipalities.
Ethical approval was obtained in accordance with the Declaration of Helsinki, and written parental consent was secured. Anthropometric data (height - TV, head circumference - OG, upper arm circumference - ON, chest circumference - OGK, skinfold thickness - DKN, and body weight - TM) were collected following WHO recommendations. Data were recorded in standardized protocols and complemented by a questionnaire on breastfeeding status, duration, and chronic disease diagnoses. Parents or guardians completed the questionnaire.
The study was conducted in pediatric counseling clinics in all primary healthcare centers, preschool institutions, and maternity departments in Montenegro. Doctors and trained interviewers conducted the measurements. Skinfold thickness was measured using a John Bull caliper.
Descriptive statistics were presented as counts and percentages for categorical variables, and as means with standard deviations for continuous variables. To assess the relationships between variables, Pearson’s and Spearman’s correlation coefficients were calculated, depending on the data distribution and scale. Linear regression analysis was performed to examine the influence of breastfeeding status and breastfeeding duration on standardized anthropometric indicators, including BMI, head circumference, upper arm circumference, chest circumference, and skinfold thickness.
Pearson’s and Spearman’s correlations were used to assess variable relationships. Linear regression analysis was applied to assess the influence of breastfeeding and breastfeeding duration on standardized anthropometric variables. Data were analyzed using SPSS 29.0.
All statistical analyses were conducted using SPSS Statistics version 29.0 (IBM Corp., Released 2023. IBM SPSS Statistics for Windows, Version 29.0. Armonk, NY: IBM Corp.) and R version 3.4.2 (R Core Team, 2017. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. Available at: https://www.R-project.org/). A P-value of less than 0.05 was considered statistically significant.

4. Result

The study included a total of 7.811 children of both genders, aged 0 to 60 months. The distribution of children by gender and age, as well as the measured anthropometric parameters, is presented in Table 1. The number of children is similar between genders, with the majority belonging to the infant age group. Anthropometric parameters are comparable across genders but, as expected, show higher values in older children.
Table 1.Distribution of Children Regarding Gender, Age, and Anthropometric Values a
VariablesTotalTM (kg)TV (cm)BMI (kg/m²)HC (cm)UAC (cm)ST (mm)CC (cm)
Gender
Male4001 (51.2)12.5 ± 5.684.8 ± 19.816.8 ± 2.346.8 ± 5.114.9 ± 4.510.1 ± 5.451.5 ± 5.8
Female3810 (48.8)11.9 ± 5.583.0 ± 20.316.5 ± 2.245.7 ± 5.114.8 ± 4.59.9 ± 5.650.0 ± 5.9
Age group (mo)
0 - 62116 (27.1)6.3 ± 1.661.1 ± 5.816.5 ± 2.240.1 ± 2.912.1 ± 4.58.5 ± 6.240.9 ± 3.8
6.1 - 121374 (17.6)9.1 ± 1.571.9 ± 4.817.6 ± 2.144.7 ± 2.613.4 ± 5.312.1 ± 6.545.6 ± 4.1
12.1 - 241072 (13.7)11.8 ± 2.082.8 ± 6.417.2 ± 2.347.4 ± 2.814.3 ± 5.210.7 ± 5.849.3 ± 3.4
24.1 - 36982 (12.6)14.7 ± 2.495.1 ± 8.516.3 ± 2.149.3 ± 2.616.5 ± 2.28.9 ± 3.051.1 ± 3.2
36.1 - 481054 (13.5)17.1 ± 2.9103.5 ± 7.315.9 ± 1.950.5 ± 2.417.0 ± 2.39.8 ± 4.353.0 ± 3.4
48.1 - 601213 (15.5)20.2 ± 3.7112.3 ± 7.316.0 ± 2.351.6 ± 2.317.7 ± 2.110.4 ± 5.655.5 ± 3.5

Abbreviations: TM, body weight; TV, height; BMI, Body Mass Index; HC, head circumference; UAC, upper arm circumference; ST, skinfold thickness; CC, chest circumference.

a Values are as expressed as No. (%) or mean ± SD.

The standardized anthropometric values between breastfeeding groups are presented in Table 2. In the total sample, children who were breastfed had significantly lower head circumference, upper arm circumference, and chest circumference mean z-scores compared to children who were not breastfed. A gender-stratified analysis yielded similar results.
Table 2.Standardized Values (z Values) of Anthropometric Parameters Between Breastfeeding Groups a
BreastfeedingYesNoP-Value
Total
TM (kg)0.20 ± 0.990.25 ± 1.110.088
TV (cm)0.18 ± 1.020.21 ± 1.020.357
HC (cm)0.17 ± 1.020.33 ± 0.98< 0.001
UAC (cm)-0.03 ± 1.010.12 ± 0.93< 0.001
ST (mm)0.02 ± 1.04-0.04 ± 0.860.135
CC (cm)-0.03 ± 0.980.07 ± 1.000.007
BMI (kg/m2)0.19 ± 0.980.21 ± 0.960.451
Male
TM (kg)0.20 ± 0.990.25 ± 1.080.225
TV (cm)0.18 ± 1.010.21 ± 1.010.345
HC (cm)0.16 ± 1.020.33 ± 0.97< 0.001
UAC (cm)-0.03 ± 1.010.08 ± 0.950.005
ST (mm)0.01 ± 1.04-0.02 ± 0.880.635
CC (cm)-0.03 ± 0.990.05 ± 0.950.134
BMI (kg/m2)0.19 ± 0.990.19 ± 0.940.996
Female
TM (kg)0.21 ± 1.000.26 ± 1.140.209
TV (cm)0.19 ± 1.030.20 ± 1.040.722
HC (cm)0.17 ± 1.020.34 ± 0.99< 0.001
UAC (cm)-0.05 ± 1.020.15 ± 0.91< 0.001
ST (mm)0.02 ± 1.04-0.06 ± 0.840.099
CC (cm)-0.03 ± 0.970.09 ± 1.050.020
BMI (kg/m²)0.18 ± 0.970.23 ± 0.970.274

Abbreviations: TM, body weight; TV, height; HC, head circumference; UAC, upper arm circumference; ST, skinfold thickness; CC, chest circumference; BMI, Body Mass Index.

a Values are as expressed as mean ± SD.

The correlation between breastfeeding duration and standardized anthropometric parameter values is presented in Table 3. The average values for children who were not breastfed are lower compared to those who were breastfed for 0–6 months but higher than those who were breastfed for more than 6 months. Most parameters show an initial increase as the breastfeeding category rises, followed by a significant decrease. Spearman rank correlation analysis was conducted twice, with and without the "no breastfeeding" category. As shown in the table, correlation coefficients have a negative sign, with significantly higher values in the analysis excluding the "no breastfeeding" category.
Table 3.Correlation of Anthropometric Parameters with Breastfeeding Duration by Gender a
Gender and ParameterNo Breastfeeding0 - 3 (mo)3.1 - 6 (mo)6.1 - 9 (mo)9.1 - 12 (mo)> 12 (mo)Correlation (Rho) AllCorrelation (Rho) Without No BreastfeedingP-Value
Male
TM0.25 ± 1.080.34 ± 0.980.45 ± 1.15-0.06 ± 0.880.00 ± 0.85-0.05 ± 0.90-0.120 b-0.195 b< 0.001
TV0.21 ± 1.010.24 ± 0.950.42 ± 1.180.00 ± 1.000.03 ± 0.900.00 ± 1.00-0.077-0.127 b< 0.001
HC0.33 ± 0.970.22 ± 0.960.44 ± 1.03-0.05 ± 0.830.03 ± 1.070.00 ± 1.11-0.111 b-0.105 b< 0.001
UAC0.08 ± 0.95-0.14 ± 1.100.06 ± 1.000.11 ± 1.000.11 ± 0.81-0.08 ± 0.95-0.046 b-0.0290.155
ST-0.02 ± 0.880.01 ± 0.960.02 ± 0.850.11 ± 0.89-0.02 ± 1.23-0.02 ± 1.18-0.026-0.093 b< 0.001
CC0.05 ± 0.95-0.03 ± 1.090.09 ± 0.95-0.05 ± 1.07-0.08 ± 0.97-0.06 ± 0.89-0.056 b-0.0410.132
BMI0.19 ± 0.940.37 ± 0.870.34 ± 1.10-0.05 ± 0.970.00 ± 0.94-0.06 ± 1.08-0.131 b-0.233 b< 0.001
Female
TM0.26 ± 1.140.30 ± 0.930.45 ± 1.09-0.08 ± 0.920.18 ± 0.99-0.13 ± 0.93-0.105 b-0.165 b< 0.001
TV0.20 ± 1.040.20 ± 0.930.46 ± 1.15-0.05 ± 1.050.23 ± 1.02-0.11 ± 0.96-0.060 b-0.094 b< 0.001
HC0.34 ± 0.990.22 ± 0.970.41 ± 1.05-0.09 ± 0.940.11 ± 1.02-0.05 ± 1.06-0.113 b-0.097 b< 0.001
UAC0.15 ± 0.91-0.13 ± 1.14-0.04 ± 1.060.00 ± 0.950.21 ± 0.75-0.13 ± 0.88-0.055 b0.0030.872
ST-0.06 ± 0.84-0.07 ± 0.960.18 ± 1.400.10 ± 0.91-0.03 ± 0.900.01 ± 0.860.040-0.0060.833
CC0.09 ± 1.05-0.10 ± 0.930.17 ± 1.020.01 ± 0.99-0.06 ± 1.11-0.11 ± 0.82-0.044-0.0060.817
BMI0.23 ± 0.970.35 ± 0.880.32 ± 1.09-0.02 ± 1.03-0.02 ± 0.92-0.05 ± 0.89-0.131 b-0.215 b< 0.001
Total
TM0.25 ± 1.110.32 ± 0.960.45 ± 1.12-0.07 ± 0.90.09 ± 0.92-0.09 ± 0.92-0.113 b-0.181 b< 0.001
TV0.21 ± 1.020.22 ± 0.940.44 ± 1.16-0.03 ± 1.030.13 ± 0.96-0.05 ± 0.98-0.069 b-0.111 b< 0.001
HC0.33 ± 0.980.22 ± 0.970.42 ± 1.04-0.07 ± 0.890.07 ± 1.04-0.02 ± 1.08-0.112 b-0.101 b< 0.001
UAC0.12 ± 0.93-0.13 ± 1.120.00 ± 1.040.06 ± 0.980.16 ± 0.79-0.10 ± 0.92-0.052 b-0.0150.316
ST-0.04 ± 0.86-0.03 ± 0.960.11 ± 1.190.11 ± 0.90-0.03 ± 1.090.00 ± 1.040.006-0.049 b0.010
CC0.07 ± 1.00-0.07 ± 1.010.13 ± 0.99-0.02 ± 1.03-0.07 ± 1.04-0.08 ± 0.86-0.051 b-0.0240.205
BMI0.21 ± 0.960.36 ± 0.870.33 ± 1.09-0.04 ± 1.00-0.01 ± 0.93-0.05 ± 0.99-0.131-0.224 b< 0.001

Abbreviations: TM, body weight; TV, height; HC, head circumference; UAC, upper arm circumference; ST, skinfold thickness; CC, chest circumference; BMI, Body Mass Index.

a Values are as expressed as mean ± SD.

b Statistically significant (P < 0.05).

The correlation analysis between breastfeeding duration (in months) and standardized anthropometric parameters demonstrates a significant negative correlation (Figure 1).
Correlation between breastfeeding duration and standardized anthropometric parameters
Figure 1.

Correlation between breastfeeding duration and standardized anthropometric parameters

The regression analysis of standardized anthropometric parameters in relation to breastfeeding duration demonstrated a significant impact of breastfeeding on anthropometric outcomes. The analysis was conducted using independent variables alone and with adjustments for gender, age, and their combined effect. The models consistently indicated a negative correlation between breastfeeding duration and standardized anthropometric parameters, with minimal or statistically insignificant changes in regression coefficients. All analyses were performed using breastfeeding status (Yes/No) and were repeated with breastfeeding duration as both a continuous variable (in months) and a categorical variable (Table 4).
Table 4.Regression Models of Standardized Anthropometric Variables and Breastfeeding Status (Yes/No) and Duration
Outcome Variables and Breastfeeding VariablesCrude B (Standardized β)P-ValueAdjusted for Gender B (Standardized β)P-ValueAdjusted for Gender and Age B (Standardized β)P-Value
TM
Breastfeeding (yes/no)-0.049 (-0.020)0.071-0.050 (-0.021)0.070-0.059 (-0.024) a0.031
Breastfeeding duration (mo)-0.019 (-0.121) a< 0.001-0.019 (-0.121) a< 0.001-0.015 (-0.094) a< 0.001
Breastfeeding duration (categorical)-0.074 (-0.074) a< 0.001-0.074 (-0.122) a< 0.001-0.060 (-0.099) a< 0.001
BMI
Breastfeeding (yes/no)-0.020 (-0.009)0.451-0.020 (-0.009)0.449-0.036 (-0.016)0.158
Breastfeeding duration (mo)-0.019 (-0.125) a< 0.001-0.019 (-0.125) a< 0.001-0.010 (-0.064) a< 0.001
Breastfeeding duration (categorical)-0.073 (-0.127) a< 0.001-0.073 (-0.127) a< 0.001-0.044 (-0.076) a< 0.001
TV
Breastfeeding (yes/no)0.025 (0.010)0.3570.025 (0.010)0.3550.029 (0.012)0.282
Breastfeeding duration (mo)-0.016 (-0.099) a< 0.001-0.016 (-0.099) a< 0.001-0.015 (-0.095) a< 0.001
Breastfeeding duration (categorical)-0.048 (-0.079) a< 0.001-0.048 (-0.079) a<0.001-0.042 (-0.070) a<0.001
HC
Breastfeeding (yes/no)0.168 (0.070) a< 0.0010.168 (0.070) a< 0.0010.180 (0.075) a< 0.001
Breastfeeding duration (mo)-0.016 (-0.103) a< 0.001-0.016 (-0.103) a< 0.001-0.008 (-0.053) a< 0.001
Breastfeeding duration (categorical)-0.071 (-0.119) a< 0.001-0.071 (-0.119) a< 0.001-0.052 (-0.088) a< 0.001
UAC
Breastfeeding (yes/no)0.152 (0.067) a< 0.0010.152 (0.067) a< 0.0010.150 (0.066) a< 0.001
Breastfeeding duration (mo)0.005 (0.031) a0.0330.005 (0.031) a0.0340.002 (0.012)0.451
Breastfeeding duration (categorical)-0.007 (-0.011) a0.368-0.007 (-0.011) a0.368-0.012 (-0.021)0.107
ST
Breastfeeding (yes/no)-0.052 (-0.022)0.175-0.052 (-0.022)0.175-0.053 (-0.023)0.170
Breastfeeding duration (mo)-0.001 (-0.004)0.713-0.001 (-0.004)< 0.001-0.003 (-0.018)0.338
Breastfeeding duration (categorical)0.007 (0.013)0.4200.007 (0.013)0.4200.007 (0.013)0.434
CC
Breastfeeding (yes/no)0.096 (0.044) a0.0070.096 (0.044) a0.0070.104 (0.047) a0.004
Breastfeeding duration (mo)-0.002 (-0.014)0.455-0.002 (-0.014)0.455-0.005 (-0.039) a0.259
Breastfeeding duration (categorical)-0.025 (-0.048) a0.003-0.025 (-0.048) a0.003-0.033 (-0.063) a< 0.001

Abbreviations: TM, body weight; TV, height; HC, head circumference; UAC, upper arm circumference; ST, skinfold thickness; CC, chest circumference; BMI, Body Mass Index.

a Statistically significant (P < 0.05).

5. Discussion

Obesity has remained a major global public health concern for decades. According to the World Health Organization (WHO), the prevalence of overweight children under the age of five has increased dramatically, reaching 41 million worldwide in 2016 (14).
Childhood obesity is associated with an increased risk of developing diabetes and hypertension and contributes to obesity in adulthood, thereby elevating the risk of premature mortality, chronic non-communicable diseases, and disabilities (9, 15).
A WHO analysis and other studies, including Ogden et al. and a large Chinese cohort, consistently showed that breastfeeding, particularly of longer duration or exclusive up to 5 - 6 months, is associated with a lower risk of childhood overweight and obesity (16-18).
A study in Montenegro examined this relationship by analyzing anthropometric parameters in a representative sample of children aged 0 - 59 months. Breastfed children had significantly smaller head, upper arm, and chest circumferences than non-breastfed peers, suggesting a protective effect of breastfeeding against early childhood overweight.
Gillman et al. found that exclusive or predominant breastfeeding during the first six months significantly reduced the risk of overweight, with longer breastfeeding (> 7 months) offering more protection than shorter duration (≤ 3 months) (19).
Consistent with these findings, the Montenegrin study showed that anthropometric values were highest in non-breastfed children, lower in those breastfed 0 - 6 months, and lowest in children breastfed over six months. Strongest correlations, especially for head, upper arm, and chest circumference, were observed in the non-breastfed group.
Similar protective effects of longer breastfeeding were confirmed in Germany, Brazil, and a multicenter European study, which also identified gestational weight gain as a key risk factor for childhood obesity (20-22).
Regression analysis from the Montenegro study showed a consistent negative association between breastfeeding duration and standardized anthropometric parameters. Adjustments for gender and age had minimal effect on the results. Prolonged breastfeeding was linked to reduced values of body mass, BMI, height, head circumference, upper arm circumference, and chest circumference, across both gender and age categories.

5.1. Conclusions

The findings of this study suggest that breastfeeding plays a crucial role in predicting obesity risk later in life for both genders. A longer duration of breastfeeding is associated with lower anthropometric parameter values, with children breastfed for more than six months exhibiting lower values compared to those breastfed for three months or less. The lowest values were observed in children who were not breastfed at all. These results further emphasize the protective role of prolonged breastfeeding in childhood growth and development.

Footnotes

References

  • 1.
    Panic S, Sreckovic M, Dragicevic I. [Relationship between newborn's birth weight and birth length, duration of breastfeeding and age at complementary feeding, and body mass index in childhood and adolescence]. MD Med Data. 2020;12(4):207-14. BS.
  • 2.
    World Health Organization. Obesity and overweight. Geneva, Switzerland: World Health Organization; 2024. Available from: https://www.who.int/news-room/fact-sheets/detail/obesity-and-overweight.
  • 3.
    Heltbech MS, Jensen CL, Girma T, Abera M, Admassu B, Kaestel P, et al. The Associations of Breastfeeding Status at 6 Months with Anthropometry, Body Composition, and Cardiometabolic Markers at 5 Years in the Ethiopian Infant Anthropometry and Body Composition Birth Cohort. Nutrients. 2023;15(21). [PubMed ID: 37960248]. [PubMed Central ID: PMC10647349]. https://doi.org/10.3390/nu15214595.
  • 4.
    Bjerregaard LG, Adelborg K, Baker JL. Change in body mass index from childhood onwards and risk of adult cardiovascular disease(). Trends Cardiovasc Med. 2020;30(1):39-45. [PubMed ID: 30772134]. https://doi.org/10.1016/j.tcm.2019.01.011.
  • 5.
    Koohmanaee S, Pourkazem S, Hassanzadeh Rad A, Nikpour S. Preventing Childhood Obesity in Diabetes: A Critical Imperative. J Compr Pediatr. 2024;15(3). https://doi.org/10.5812/jcp-147829.
  • 6.
    Dalili S, Hassanzadeh Rad A, Salkhori O, Dabbaghi S, Karambin M, Badeli H, et al. Potentials of Hyperuricemia and Insulin Levels in Predicting Hypertension in Obese Children: A Cross-sectional Study. J Compr Pediatr. 2023;15(1). https://doi.org/10.5812/jcp-139577.
  • 7.
    Latner JD, Stunkard AJ. Getting worse: the stigmatization of obese children. Obes Res. 2003;11(3):452-6. [PubMed ID: 12634444]. https://doi.org/10.1038/oby.2003.61.
  • 8.
    Alderman H, Behrman JR, Glewwe P, Fernald L, Walker S. Evidence of Impact of Interventions on Growth and Development during Early and Middle Childhood. In: Bundy DAP, Silva ND, Horton S, Jamison DT, Patton GC, editors. Child and Adolescent Health and Development. 3rd ed. Washington (DC): World Bank Group; 2017. https://doi.org/10.1596/978-1-4648-0423-6_ch7.
  • 9.
    Bitew ZW, Alemu A, Ayele EG, Tenaw Z, Alebel A, Worku T. Metabolic syndrome among children and adolescents in low and middle income countries: a systematic review and meta-analysis. Diabetol Metab Syndr. 2020;12:93. [PubMed ID: 33117455]. [PubMed Central ID: PMC7590497]. https://doi.org/10.1186/s13098-020-00601-8.
  • 10.
    Nandi A, Bhalotra S, Deolalikar AB, Laxminarayan R. The Human Capital and Productivity Benefits of Early Childhood Nutritional Interventions. In: Bundy DAP, Silva ND, Horton S, Jamison DT, Patton GC, editors. Child and Adolescent Health and Development. 3rd ed. Washington (DC): World Bank Group; 2017. https://doi.org/10.1596/978-1-4648-0423-6_ch27.
  • 11.
    Daniels SR, Pratt CA, Hollister EB, Labarthe D, Cohen DA, Walker JR, et al. Promoting Cardiovascular Health in Early Childhood and Transitions in Childhood through Adolescence: A Workshop Report. J Pediatr. 2019;209:240-251 e1. [PubMed ID: 30904171]. [PubMed Central ID: PMC12755081]. https://doi.org/10.1016/j.jpeds.2019.01.042.
  • 12.
    Niknam M, Zolfagharypoor A, Mansouri-Tehrani MM, Amiri P, Shirvani P, Omidvar N. Exploring Community Readiness for Childhood Obesity Prevention: A Systematic Review of the Evidence. Int J Endocrinol Metab. 2025;23(3). e161812. [PubMed ID: 41111551]. [PubMed Central ID: PMC12534737]. https://doi.org/10.5812/ijem-161812.
  • 13.
    World Health Organization; United Nations Children's Fund (UNICEF). Global breastfeeding scorecard 2022: protecting breastfeeding through further investments and policy actions. Geneva, Switzerland: World Health Organization; 2022. Available from: https://apps.who.int/iris/handle/10665/365140.
  • 14.
    World Health Organization. Noncommunicable diseases: childhood overweight and obesity. Geneva, Switzerland: World Health Organization; 2020. Available from: https://www.who.int/news-room/questions-and-answers/item/noncommunicable-diseases-childhood-overweight-and-obesity.
  • 15.
    World Health Organization. Malnutrition. Geneva, Switzerland: World Health Organization; 2026, [cited 2026]. Available from: https://www.who.int/health-topics/malnutrition#tab=tab_1.
  • 16.
    Horta BL, Victora CG. Long-term effects of breastfeeding: a systematic review. Geneva, Switzerland: World Health Organization; 2013.
  • 17.
    Ogden CL, Carroll MD, Curtin LR, Lamb MM, Flegal KM. Prevalence of high body mass index in US children and adolescents, 2007-2008. JAMA. 2010;303(3):242-9. [PubMed ID: 20071470]. https://doi.org/10.1001/jama.2009.2012.
  • 18.
    Zheng JS, Liu H, Li J, Chen Y, Wei C, Shen G, et al. Exclusive breastfeeding is inversely associated with risk of childhood overweight in a large Chinese cohort. J Nutr. 2014;144(9):1454-9. [PubMed ID: 25008581]. https://doi.org/10.3945/jn.114.193664.
  • 19.
    Gillman MW, Rifas-Shiman SL, Camargo CJ, Berkey CS, Frazier AL, Rockett HR, et al. Risk of overweight among adolescents who were breastfed as infants. JAMA. 2001;285(19):2461-7. [PubMed ID: 11368698]. https://doi.org/10.1001/jama.285.19.2461.
  • 20.
    von Kries R, Koletzko B, Sauerwald T, von Mutius E, Barnert D, Grunert V, et al. Breast feeding and obesity: cross sectional study. BMJ. 1999;319(7203):147-50. [PubMed ID: 10406746]. [PubMed Central ID: PMC28161]. https://doi.org/10.1136/bmj.319.7203.147.
  • 21.
    Assuncao ML, Ferreira HS, Coutinho SB, Santos LM, Horta BL. Protective effect of breastfeeding against overweight can be detected as early as the second year of life: a study of children from one of the most socially-deprived areas of Brazil. J Health Popul Nutr. 2015;33(1):85-91. [PubMed ID: 25995725]. [PubMed Central ID: PMC4438652].
  • 22.
    Bammann K, Peplies J, De Henauw S, Hunsberger M, Molnar D, Moreno LA, et al. Early life course risk factors for childhood obesity: the IDEFICS case-control study. PLoS One. 2014;9(2). e86914. [PubMed ID: 24551043]. [PubMed Central ID: PMC3923715]. https://doi.org/10.1371/journal.pone.0086914.

Crossmark
Crossmark
Checking
Share on
Cited by
Metrics

Purchasing Reprints

  • Copyright Clearance Center (CCC) handles bulk orders for article reprints for Brieflands. To place an order for reprints, please click here (   https://www.copyright.com/landing/reprintsinquiryform/ ). Clicking this link will bring you to a CCC request form where you can provide the details of your order. Once complete, please click the ‘Submit Request’ button and CCC’s Reprints Services team will generate a quote for your review.
Search Relations

Author(s):

Related Articles