scispace - formally typeset
Journal ArticleDOI

Exploring the association between childhood and adolescent obesity and depression: a meta-analysis.

Reads0
Chats0
TLDR
In conclusion, obese children and adolescents are more likely to suffer from depression and depressive symptoms, with women and non‐Western people at higher risk.
Abstract
Summary This meta-analysis aimed to evaluate the association between childhood and adolescent obesity and depression. We systematically searched PubMed, PsycInfo, EMBASE and Science Direct for studies that compared prevalence of depression and depressive symptoms in normal weight and obese children and adolescents. Observational studies were included if they reported body mass index and assessed depression by validated instruments or diagnostic interviews. Quality assessment was performed using the Newcastle–Ottawa scale. We used the random-effect model to calculate the pooled odds ratios, standard mean differences (SMDs) and subgroup analysis. Findings for a total of 51,272 participants were pooled across 18 studies and examined. Our analyses demonstrated a positive association between childhood and adolescent obesity and depression (pooled odds ratio = 1.34, 95% confidence interval [CI]: 1.1–1.64, p = 0.005) and more severe depressive symptoms (SMD = 0.23, 95% CI: 0.025–0.44, p = 0.028) in the obese groups. Overweight subjects were not more likely to have either depression (pooled odds ratio = 1.16, 95% CI: 0.93–1.44, p = 0.19) or depressive symptoms (SMD = 0, 95% CI: −0.101 to 0.102, p = 0.997). Non-Western and female obese subjects were significantly more likely to have depression and severe depressive symptoms (p < 0.05). In conclusion, obese children and adolescents are more likely to suffer from depression and depressive symptoms, with women and non-Western people at higher risk.

read more

Citations
More filters
Journal ArticleDOI

The pathway from childhood maltreatment to adulthood obesity: The role of mediation by adolescent depressive symptoms and BMI.

TL;DR: Adolescent depressive symptoms and BMI were statistically significant mediators between sexual and physical maltreatment and extreme obesity, and between physical malt treatment and self-rated obesity (p < .05), and adolescent characteristics are mechanisms on the causal pathway between malt Treatment and obesity in adulthood.
Journal ArticleDOI

Longitudinal bidirectional relations between body dissatisfaction and depressive symptoms among Black adolescents: A cross-lagged panel analysis

TL;DR: Elevated body dissatisfaction among the overweight/obese group supports weight-based stigma as a stressor among Black adolescents and supports the internalization of thinness idea and negative self-appraisal associated with depressive symptoms.
Peer Review

A pooled

TL;DR: Worldwide trends in body-mass index, underweight, overweight, and obesity from 1975 to 2016: a pooled analysis of 2416 population-based measurement studies in 128·9 million children, adolescents, and adults.
Journal ArticleDOI

Prediction of newborn's body mass index using nationwide multicenter ultrasound data: a machine-learning study.

Abstract: This study introduced machine learning approaches to predict newborn’s body mass index (BMI) based on ultrasound measures and maternal/delivery information. Data came from 3159 obstetric patients and their newborns enrolled in a multi-center retrospective study. Variable importance, the effect of a variable on model performance, was used for identifying major predictors of newborn’s BMI among ultrasound measures and maternal/delivery information. The ultrasound measures included biparietal diameter (BPD), abdominal circumference (AC) and estimated fetal weight (EFW) taken three times during the week 21 - week 35 of gestational age and once in the week 36 or later. Based on variable importance from the random forest, major predictors of newborn’s BMI were the first AC and EFW in the week 36 or later, gestational age at delivery, the first AC during the week 21 - the week 35, maternal BMI at delivery, maternal weight at delivery and the first BPD in the week 36 or later. For predicting newborn’s BMI, linear regression (2.0744) and the random forest (2.1610) were better than artificial neural networks with one, two and three hidden layers (150.7100, 154.7198 and 152.5843, respectively) in the mean squared error. This is the first machine-learning study with 64 clinical and sonographic markers for the prediction of newborns’ BMI. The week 36 or later is the most effective period for taking the ultrasound measures and AC and EFW are the best predictors of newborn’s BMI alongside gestational age at delivery and maternal BMI at delivery.
Journal ArticleDOI

Inter-individual differences in body mass index were not observed as a result of aerobic exercise in children and adolescents with overweight and obesity.

TL;DR: Exercise has been recommended as an important intervention for reducing adiposity in children and adolescents with overweight and obesity.
References
More filters
Journal ArticleDOI

Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement

TL;DR: A structured summary is provided including, as applicable, background, objectives, data sources, study eligibility criteria, participants, interventions, study appraisal and synthesis methods, results, limitations, conclusions and implications of key findings.
Journal ArticleDOI

Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement

TL;DR: PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) is introduced, an update of the QUOROM guidelines for reporting systematic reviews and meta-analyses.
Journal ArticleDOI

Overweight, Obesity, and Depression A Systematic Review and Meta-analysis of Longitudinal Studies

TL;DR: A reciprocal link between depression and obesity was found to increase the risk of depression, most pronounced among Americans and for clinically diagnosed depression, in addition to depression being predictive of developing obesity.
Journal ArticleDOI

Body mass index cut offs to define thinness in children and adolescents: international survey

TL;DR: The proposed cut-off points should help to provide internationally comparable prevalence rates of thinness in children and adolescents consistent with the WHO adult definitions.
Journal ArticleDOI

Long-term morbidity and mortality of overweight adolescents. A follow-up of the Harvard Growth Study of 1922 to 1935.

TL;DR: Overweight in adolescence predicted a broad range of adverse health effects that were independent of adult weight after 55 years of follow-up and was a more powerful predictor of these risks than overweight in adulthood.
Related Papers (5)

Worldwide trends in body-mass index, underweight, overweight, and obesity from 1975 to 2016: a pooled analysis of 2416 population-based measurement studies in 128·9 million children, adolescents, and adults

Leandra Abarca-Gómez, +1024 more
- 16 Dec 2017 - 

Global, regional, and national prevalence of overweight and obesity in children and adults during 1980–2013: a systematic analysis for the Global Burden of Disease Study 2013

Marie Ng, +141 more
- 30 Aug 2014 -