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Putra IGNE, Daly M, Robinson E. Psychosocial factors and the development of childhood overweight and obesity: a UK cohort study. Pediatr Res 2025:10.1038/s41390-025-04113-x. [PMID: 40360773 DOI: 10.1038/s41390-025-04113-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/07/2024] [Revised: 04/09/2025] [Accepted: 04/17/2025] [Indexed: 05/15/2025]
Abstract
BACKGROUND We examined the role of psychosocial factors in overweight and obesity development. METHODS UK Millennium Cohort Study data of children with normal weight at baseline were analysed. Weight changes were determined from baselines at ages 11 (n = 7979) and 14 (n = 6906) to follow-up at age 17. Baseline individual psychosocial factors were combined into two distinct indexes (caregiver-reported child mental health, child-reported psychosocial well-being). Regression models examined the associations between baseline indexes and individual psychosocial factors and overweight and obesity development (vs. no development) and body mass index (BMI) z-score changes. RESULTS Worse child mental health, but not psychosocial well-being, at age 11 was associated with overweight and obesity development (OR = 1.14; 95% CI = 1.02, 1.27) and increased BMI z-scores (β = 0.08; 95% CI = 0.04, 0.12) to age 17. No psychosocial indexes at age 14 predicted the outcomes. Further analyses showed that child mental health at ages 11 vs. 14 was more likely to predict the outcomes. Based on individual factors, externalising symptoms and experiencing peer bullying at age 11 may be important contributors to overweight and obesity development. CONCLUSIONS Poor child mental health at age 11 is associated with overweight and obesity development by age 17. Late childhood/early adolescence may be a sensitive period in which psychosocial factors predict body weight trajectories. IMPACT Worse psychosocial factors, particularly poor mental health, at ages 11, but not 14, were associated with overweight and obesity development and increased BMI z-scores by age 17. Late childhood/early adolescence may be a sensitive period for mental health in predicting future weight change. Future research will benefit from exploring this potential sensitive period and understanding potential mechanisms.
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Affiliation(s)
- I Gusti Ngurah Edi Putra
- Department of Public Health, Policy and Systems, Institute of Population Health, University of Liverpool, Liverpool, UK.
| | - Michael Daly
- Department of Psychology, Maynooth University, Kildare, Ireland
| | - Eric Robinson
- Department of Psychology, Institute of Population Health, University of Liverpool, Liverpool, UK
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Salari N, Heidarian P, Tarrahi MJ, Mansourian M, Canbary Z, Daneshkhah A, Nasirian M, Faghihi SH, Mohammadi M. Global prevalence of eating disorders in children: a comprehensive systematic review and meta-analysis. Ital J Pediatr 2025; 51:107. [PMID: 40197519 PMCID: PMC11974214 DOI: 10.1186/s13052-025-01958-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/18/2024] [Accepted: 03/27/2025] [Indexed: 04/10/2025] Open
Abstract
BACKGROUND Eating disorders (EDs) are known as chronic mental disorders that can cause adverse physical and mental effects and affect different age groups, including children, and disrupt their growth and development. Based on this, the aim of this research is to determine the global prevalence of EDs in children. METHODS To conduct this research, each of the databases PubMed, Scopus, Web of science, Embase, ScienceDirect and Google Scholar search engine were systematically searched using relevant keywords ("prevalence,""outbreak,""eating disorder,""feeding disorder,""eating problem,""appetite disorder,"to find all the studies that refer to the prevalence of EDs in children until July 23, 2024 to obtain and perform further evaluations. After data extraction, their analysis was done by Comprehensive Meta-Analysis software (Version 2); Random effects model was used for analysis and I2 index was also used to check the heterogeneity of studies. RESULTS Based on the global prevalence of EDs in children based on meta-analysis was 1% (95% CI: 0.6-1.6); Subgroup analysis based on the study of eating disorders in children showed that the prevalence of pica among children is 2.1% (95% CI: 1-4.6), the prevalence of binge eating disorder is 1% (95% CI: 0.6-1.8), and the prevalence of anorexia nervosa and Bulimia nervosa among children is 0.6% (95% CI: 0.01-34.4) and 0.1% (95% CI: 0-0.4), respectively. CONCLUSION Considering the importance of nutrition in children and the report of EDs among them, healthcare workers and medical personnel must pay attention to this category of disorders by timely informing parents to reduce the complications caused by it.
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Affiliation(s)
- Nader Salari
- Department of Biostatistics, School of Health, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Pegah Heidarian
- Student Research Committee, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Mohammad Javad Tarrahi
- Department of Epidemiology and Biostatistics, Faculty of Health, Isfahan University of Medical Science, Isfahan, Iran
| | - Marjan Mansourian
- Department of Epidemiology and Biostatistics, Faculty of Health, Isfahan University of Medical Science, Isfahan, Iran
| | - Zara Canbary
- Faculty of Business Management, Emirates Aviation University, Dubai, UAE
| | - Alireza Daneshkhah
- Faculty of Mathematics and Data Science, Emirates Aviation University, Dubai, UAE
| | - Maryam Nasirian
- Department of Epidemiology and Biostatistics, Faculty of Health, Isfahan University of Medical Science, Isfahan, Iran
| | - Seyed Hassan Faghihi
- Social Determinants of Health Research Center, Yasuj University of Medical Sciences, Yasouj, Iran
| | - Masoud Mohammadi
- Research Center for Social Determinants of Health, Jahrom University of Medical Sciences, Jahrom, Iran.
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Smith KE, Hsu E, Mason TB, Luo S. Neural and Behavioral Correlates of Binge Eating in 9- to 10-Year-Old Children. J Am Acad Child Adolesc Psychiatry 2025; 64:475-487. [PMID: 39243851 PMCID: PMC11880349 DOI: 10.1016/j.jaac.2024.07.925] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/13/2023] [Revised: 07/19/2024] [Accepted: 08/29/2024] [Indexed: 09/09/2024]
Abstract
OBJECTIVE This observational study compared children with and without binge eating (BE) on biobehavioral measures of reward responsiveness, inhibitory control, and emotion processes, while accounting for the impact of weight. METHOD Children aged 9 to 10 years completed the baseline wave of the Adolescent Brain Cognitive Development Study (316 with BE; 7,681 without BE [no-BE]). The prevalence of binge-eating disorder in the BE group was 17.0%; clinically significant internalizing and externalizing symptoms were endorsed by 8.5% and 4.5% of the sample, respectively. The monetary incentive delay (MID) task, stop signal task (SST), and emotional N-Back (EN-Back) task were administered during neuroimaging. Analyses assessed effects of group (BE vs no-BE) on task performance and corresponding neural signal in regions of interest (ROIs). Weight status was evaluated as a covariate and as a moderator of effects. RESULTS Adjusting for weight status, the BE group (vs no-BE) group showed lower activation during anticipation of reward, specifically large reward (vs no reward), in the composite ROI consisting of the dorsal striatum, nucleus accumbens, orbital frontal gyrus, amygdala, and insula. Groups did not differ significantly in other behavioral or neural outcomes. No interactions between group and weight status were observed. CONCLUSION Blunted anticipatory responses to monetary reward were associated with binge eating during peri-adolescence and may play a role in binge eating pathophysiology. Results challenge prior findings in BE that may be confounded by weight, and highlight the importance of future prospective research across binge-eating disorder stage of illness. PLAIN LANGUAGE SUMMARY Binge eating disorder, the most common eating disorder, is associated with several negative psychosocial consequences. This study used data from the Adolescent Brain Cognitive Development (ABCD) Study and compared children (ages 9-10) with and without binge eating on neurobiological and behavioral measures of reward responsiveness, inhibitory control, and emotion processes. Children with binge eating showed lower neural activation during anticipation of reward, specifically large reward, compared to youth without binge eating. These findings suggest that blunted anticipatory response during peri-adolescence may play a role in binge eating pathophysiology.
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Affiliation(s)
| | - Eustace Hsu
- University of Southern California, Los Angeles, California
| | - Tyler B Mason
- University of Southern California, Los Angeles, California
| | - Shan Luo
- University of Southern California, Los Angeles, California; Children's Hospital Los Angeles, Los Angeles, California
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Putra IGNE, Daly M, Robinson E. Childhood obesity trajectories and adolescent mental health: A UK cohort study. Pediatr Obes 2025; 20:e13206. [PMID: 39888209 PMCID: PMC11803180 DOI: 10.1111/ijpo.13206] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/02/2024] [Revised: 11/27/2024] [Accepted: 01/06/2025] [Indexed: 02/01/2025]
Abstract
BACKGROUND There is limited evidence on how changes in obesity from childhood to adolescence are associated with adolescent mental health. We examined the associations between childhood obesity trajectories, obesity episodes, and mental health at age 17. METHODS Data were from the UK Millennium Cohort Study. Obesity trajectory groups at ages 7 and 17 (n = 8306) and previous obesity episodes (number of sweeps with obesity) at ages 7, 11 and 14 (n = 7246) were examined. Caregiver and self-reported internalising and externalising symptoms at age 17 were used to measure mental health. Linear regression models were used. RESULTS Relative to never developing obesity, obesity development (β = 1.01; 95% CI = 0.71, 1.32) and persistence (β = 1.18; 95% CI = 0.74, 1.61) were associated with higher internalising symptoms at age 17 and worsening (increase in scores) of these symptoms between ages 7 and 17 (β = 0.87; 95% CI = 0.57, 1.17 and β = 0.86; 95% CI = 0.56, 1.26 for development and persistence, respectively). Obesity development was associated with higher externalising symptoms at age 17 (β = 0.52; 95% CI = 0.25, 0.80) and worsening of these symptoms over time (β = 0.30; 95% CI = 0.07, 0.53). Having multiple past obesity episodes was not associated with worsening mental health independent of follow-up weight status. There were no differences in mental health outcomes between children who reversed versus never developed obesity. CONCLUSIONS Obesity development or persistence from ages 7 to 17 are associated with worsening mental health. If childhood obesity is reversed, there appears to be no evidence of a negative association between previous obesity and mental health at age 17.
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Affiliation(s)
- I Gusti Ngurah Edi Putra
- Department of Public Health, Policy and Systems, Institute of Population HealthUniversity of LiverpoolLiverpoolUK
| | - Michael Daly
- Department of PsychologyMaynooth UniversityIreland
| | - Eric Robinson
- Department of Psychology, Institute of Population HealthUniversity of LiverpoolLiverpoolUK
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da Cunha Nones DC, Novais CO, Rojas VCT, de Paula Franco P, da Silva Estevam E, Silva MS, Giusti-Paiva A, Dos Anjos-Garcia T, Vilela FC. Litter reduction-induced obesity promotes early depressive-like behavior and elevated prefrontal cortex GFAP expression in male offspring. Behav Brain Res 2024; 461:114839. [PMID: 38154508 DOI: 10.1016/j.bbr.2023.114839] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2023] [Revised: 12/22/2023] [Accepted: 12/23/2023] [Indexed: 12/30/2023]
Abstract
AIMS The present study was developed to investigate how litter reduction-induced obesity promotes early depressive-related behaviors in rodent offspring. MAIN METHODS We employed a standardized litter size reduction protocol, dividing litters into groups: normal litters (NL), consisting of six males and six females pups and small litters (SL), comprising two males and two females pups. Maternal behavior was monitored during the initial week of lactation. Subsequently, we assessed the pups for weight gain, locomotor activity, social play behavior, and performance in forced swimming test. We further evaluated the weights of retroperitoneal and perigonadal fat tissues, along with the expression of glial fibrillary acidic pprotein (GFAP) in the hippocampus and prefrontal cortex of the offspring. KEY FINDINGS Our results indicated that litter size reduction led to an increased the maternal behavior. In contrast, offspring from the SL group displayed greater weight gain and increased, retroperitoneal and perigonadal fat. Both male and female rodents in the SL group exhibited decreased social play behavior, and male offspring spent more time immobile during the forced swimming test, suggesting a depressive-like phenotype. Notably, we observed an increase in the GFAP expression in the prefrontal cortex of male rodents, with a trend toward increased expression in the hippocampus. SIGNIFICANCE Obesity may facilitate the development of early depressive-like behaviors, potentially associated with elevated GFAP expression in the prefrontal cortex.
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Affiliation(s)
- Débora Cristina da Cunha Nones
- Programa de Pós-Graduação em Biociências Aplicadas à Saúde (PPGB), Universidade Federal de Alfenas (Unifal-MG), Alfenas, Minas Gerais, Brazil; Departamento de Ciências Fisiológicas, Instituto de Ciências Biomédicas, Universidade Federal de Alfenas (Unifal-MG), Alfenas, Minas Gerais, Brazil
| | - Cíntia Onofra Novais
- Programa de Pós-Graduação Multicêntrico em Ciências Fisiológicas (PPGMCF), Universidade Federal de Alfenas (Unifal-MG), Alfenas, Minas Gerais, Brazil; Departamento de Ciências Fisiológicas, Instituto de Ciências Biomédicas, Universidade Federal de Alfenas (Unifal-MG), Alfenas, Minas Gerais, Brazil
| | - Viviana Carolina Trujillo Rojas
- Programa de Pós-Graduação Multicêntrico em Ciências Fisiológicas (PPGMCF), Universidade Federal de Alfenas (Unifal-MG), Alfenas, Minas Gerais, Brazil; Departamento de Ciências Fisiológicas, Instituto de Ciências Biomédicas, Universidade Federal de Alfenas (Unifal-MG), Alfenas, Minas Gerais, Brazil
| | - Priscila de Paula Franco
- Programa de Pós-Graduação Multicêntrico em Ciências Fisiológicas (PPGMCF), Universidade Federal de Alfenas (Unifal-MG), Alfenas, Minas Gerais, Brazil; Departamento de Ciências Fisiológicas, Instituto de Ciências Biomédicas, Universidade Federal de Alfenas (Unifal-MG), Alfenas, Minas Gerais, Brazil
| | - Elisa da Silva Estevam
- Departamento de Ciências Fisiológicas, Instituto de Ciências Biomédicas, Universidade Federal de Alfenas (Unifal-MG), Alfenas, Minas Gerais, Brazil
| | - Mariana Santos Silva
- Departamento de Ciências Fisiológicas, Instituto de Ciências Biomédicas, Universidade Federal de Alfenas (Unifal-MG), Alfenas, Minas Gerais, Brazil
| | - Alexandre Giusti-Paiva
- Departamento de Ciências Fisiológicas, Centro de Ciências Biológicas da Universidade Federal de Santa Catarina (UFSC), Florianópolis, Santa Catarina, Brazil
| | - Tayllon Dos Anjos-Garcia
- Programa de Pós-Graduação Multicêntrico em Ciências Fisiológicas (PPGMCF), Universidade Federal de Alfenas (Unifal-MG), Alfenas, Minas Gerais, Brazil; Departamento de Ciências Fisiológicas, Instituto de Ciências Biomédicas, Universidade Federal de Alfenas (Unifal-MG), Alfenas, Minas Gerais, Brazil.
| | - Fabiana Cardoso Vilela
- Programa de Pós-Graduação em Biociências Aplicadas à Saúde (PPGB), Universidade Federal de Alfenas (Unifal-MG), Alfenas, Minas Gerais, Brazil; Centro de Inovação e Ensaios Pré-Clínicos (CIEnP), Florianópolis, Santa Catarina, Brazil
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Lin Q, Jiang Y, Sun X, Zhang Y, Shan W, Zhao J, Wang X, Zhu Q, Sun W, Lu H, Jiang F. Weight spectrum and executive function in adolescents: the moderating role of negative emotions. Child Adolesc Psychiatry Ment Health 2022; 16:34. [PMID: 35534893 PMCID: PMC9087912 DOI: 10.1186/s13034-022-00468-9] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/19/2022] [Accepted: 04/06/2022] [Indexed: 01/22/2023] Open
Abstract
BACKGROUND While recent works suggested that overweight/obesity may impair executive function (EF), the overweight/obesity-EF relationship has not been well studied in adolescents. Furthermore, no research has investigated adolescent EF impairments across the weight spectrum (e.g., underweight or thinness, normal, overweight/obesity), especially those with underweight condition, with the moderating effect of negative emotions in the weight-EF association being limitedly investigated. We aimed to determine whether overall and abdominal weight spectrum associated with EF impairments and to identity whether negative emotions moderate the weight-EF link in adolescents. METHODS We applied a subsample of the SCHEDULE-A project. Adolescents (11-18 years) were recruited using a multi-stage cluster random sampling approach. We measured the overall and abdominal weight spectrum by body mass index z-score and waist-to-height ratio, respectively. We used the Behavior Rating Inventory of Executive Function (BRIEF) to evaluate adolescent EF in nature setting, and utilized the Depression Anxiety and Stress Scales (DASS-21) to assess three types of negative emotional status (i.e., depression, anxiety, and stress). RESULTS Of the 1935 adolescents, 963 (49.8%) were male. We observed that abdominal, not overall, overweight was associated with the Global Executive Composite (GEC) impairment (OR = 1.59, 95% CI 1.07-2.35), particularly for inhibit, emotion control, shift, working memory, and monitor domains. Furthermore, depression moderated the abdominal overweight-GEC association (P = 0.032 for interaction term), especially for emotional control, working memory, and initiate dimensions. Moreover, we also found abdominal thinness was associated with the Metacognition Index problem (OR = 1.33, 95% CI 1.04-1.72), particularly for plan and monitor areas. CONCLUSIONS Both abdominal overweight and thinness were associated with adolescent EF, and depression would be a modifiable target to improve EF in adolescents with abdominal overweight. Future longitudinal studies are needed to investigate the causal relationship between abdominal weight spectrum and EF, as well as the underlying mechanisms among adolescents suffering from depression.
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Affiliation(s)
- Qingmin Lin
- grid.16821.3c0000 0004 0368 8293School of Life Science and Biotechnology, Shanghai Jiao Tong University, Shanghai, 200240 China
| | - Yanrui Jiang
- grid.16821.3c0000 0004 0368 8293Department of Developmental and Behavioral Pediatrics, Pediatric Translational Medicine Institution, Shanghai Children’s Medical Center, School of Medicine, Shanghai Jiao Tong University, 1678 Dongfang Rd., Shanghai, 200127 China ,grid.16821.3c0000 0004 0368 8293Ministry of Education-Shanghai Key Laboratory of Children’s Environmental Health, Xinhua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200092 China
| | - Xiaoning Sun
- grid.16821.3c0000 0004 0368 8293Department of Developmental and Behavioral Pediatrics, Pediatric Translational Medicine Institution, Shanghai Children’s Medical Center, School of Medicine, Shanghai Jiao Tong University, 1678 Dongfang Rd., Shanghai, 200127 China ,grid.16821.3c0000 0004 0368 8293Ministry of Education-Shanghai Key Laboratory of Children’s Environmental Health, Xinhua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200092 China ,grid.511008.dShanghai Center for Brain Science and Brain-Inspired Technology, Shanghai, 201602 China
| | - Yunting Zhang
- grid.16821.3c0000 0004 0368 8293Child Health Advocacy Institute, Shanghai Children’s Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127 China
| | - Wenjie Shan
- grid.16821.3c0000 0004 0368 8293Child Health Advocacy Institute, Shanghai Children’s Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127 China ,grid.16821.3c0000 0004 0368 8293Department of VIP Clinic, Shanghai Children’s Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127 China
| | - Jin Zhao
- grid.16821.3c0000 0004 0368 8293Child Health Advocacy Institute, Shanghai Children’s Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127 China
| | - Xuelai Wang
- grid.16821.3c0000 0004 0368 8293Child Health Advocacy Institute, Shanghai Children’s Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127 China
| | - Qi Zhu
- grid.16821.3c0000 0004 0368 8293Department of Developmental and Behavioral Pediatrics, Pediatric Translational Medicine Institution, Shanghai Children’s Medical Center, School of Medicine, Shanghai Jiao Tong University, 1678 Dongfang Rd., Shanghai, 200127 China ,grid.16821.3c0000 0004 0368 8293Ministry of Education-Shanghai Key Laboratory of Children’s Environmental Health, Xinhua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200092 China
| | - Wanqi Sun
- grid.16821.3c0000 0004 0368 8293Shanghai Mental Health Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200030 China
| | - Hui Lu
- grid.16821.3c0000 0004 0368 8293School of Life Science and Biotechnology, Shanghai Jiao Tong University, Shanghai, 200240 China
| | - Fan Jiang
- Department of Developmental and Behavioral Pediatrics, Pediatric Translational Medicine Institution, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, 1678 Dongfang Rd., Shanghai, 200127, China. .,Ministry of Education-Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200092, China. .,Shanghai Center for Brain Science and Brain-Inspired Technology, Shanghai, 201602, China.
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