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Pink AE, Teo R, Chua B, Kong F, Nadarajan R, Pei JY, Tan CHY, Toh JY, Chong YS, Tan KH, Yap F, Meaney MJ, Broekman BFP, Cheon BK. The effects of acute social ostracism on subsequent snacking behavior and future body mass index in children. Int J Obes (Lond) 2024; 48:867-875. [PMID: 38413700 DOI: 10.1038/s41366-024-01489-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/04/2023] [Revised: 01/25/2024] [Accepted: 01/30/2024] [Indexed: 02/29/2024]
Abstract
BACKGROUND/OBJECTIVES Ostracism may lead to increased food intake, yet it is unclear whether greater reactivity to ostracism contributes to higher body mass index (BMI). We investigated whether children who exhibited greater stress to social exclusion subsequently consume more energy and whether this predicts BMI 6- and 18-months later. SUBJECTS/METHODS Children (8.5 years-old) (N = 262, males = 50.4%; Chinese = 58.4%) completed a laboratory-based manipulation of social exclusion (the Cyberball task) prior to an ad-libitum snack. Heart rate variability (HRV) was measured during the inclusion and exclusion conditions and proportionate changes were calculated as a physiological measure of exclusion-related stress. Social anxiety and social-emotional assets were also measured as moderators. RESULTS Greater stress (as measured physiologically or by self-report) did not directly, or indirectly via energy intake, predict later BMI (at 9- and 10-years). However, among children reporting higher social anxiety, greater stress as measured by proportionate changes in HRV was associated with increased energy intake (B = 532.88, SE = 226.49, t(255) = 2.35, [CI95 = 86.85,978.92]). A significant moderated mediation was also observed (index: (b = 0.01, bootSE = 0.01, [CI95 = 0.001, 0.036]), such that among children reporting higher social anxiety, greater stress from social exclusion predicted increased energy intake from a subsequent snack, which in turn predicted higher BMI 1.5 years later. CONCLUSION This prospective study suggests that a pattern of greater snack intake in response to heightened vulnerability to the effects of ostracism may contribute to increases in child BMI scores.
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Affiliation(s)
- Aimee E Pink
- Institute of High Performance Computing (IHPC), Agency for Science, Technology and Research (A*STAR), 1 Fusionopolis Way, #16-16 Connexis, Singapore, 138632, Republic of Singapore.
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), 30 Medical Drive, Brenner Centre for Molecular Medicine, Singapore, 117609, Republic of Singapore.
- School of Psychology, Faculty of Medicine, Health and Life Sciences, Swansea University, Swansea, SA2 8PP, UK.
| | - Reena Teo
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), 30 Medical Drive, Brenner Centre for Molecular Medicine, Singapore, 117609, Republic of Singapore
| | - Bob Chua
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), 30 Medical Drive, Brenner Centre for Molecular Medicine, Singapore, 117609, Republic of Singapore
| | - Fabian Kong
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), 30 Medical Drive, Brenner Centre for Molecular Medicine, Singapore, 117609, Republic of Singapore
| | - Ranjani Nadarajan
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), 30 Medical Drive, Brenner Centre for Molecular Medicine, Singapore, 117609, Republic of Singapore
- Department of Psychiatry and Douglas Mental Health University Institute, McGill University, Montreal, Canada
| | - Jia Ying Pei
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), 30 Medical Drive, Brenner Centre for Molecular Medicine, Singapore, 117609, Republic of Singapore
| | - Charmaine H Y Tan
- Institute of High Performance Computing (IHPC), Agency for Science, Technology and Research (A*STAR), 1 Fusionopolis Way, #16-16 Connexis, Singapore, 138632, Republic of Singapore
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), 30 Medical Drive, Brenner Centre for Molecular Medicine, Singapore, 117609, Republic of Singapore
| | - Jia Ying Toh
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), 30 Medical Drive, Brenner Centre for Molecular Medicine, Singapore, 117609, Republic of Singapore
| | - Yap-Seng Chong
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), 30 Medical Drive, Brenner Centre for Molecular Medicine, Singapore, 117609, Republic of Singapore
- Department of Obsteterics & Gynaecology, Yoo Loo Lin School of Medicine, National University of Singapore, National University Health System, Singapore, Singapore
| | - Kok Hian Tan
- Duke-NUS Medical School, Singapore, Singapore
- Department of Maternal Fetal Medicine, KK Women's and Children's Hospital, Singapore, Singapore
| | - Fabian Yap
- Duke-NUS Medical School, Singapore, Singapore
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore
- Department of Paediatric Endocrinology, KK's Women's and Children's Hospital, Singapore, Singapore
| | - Michael J Meaney
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), 30 Medical Drive, Brenner Centre for Molecular Medicine, Singapore, 117609, Republic of Singapore
- Department of Psychiatry and Douglas Mental Health University Institute, McGill University, Montreal, Canada
- Brain-Body Strategic Research Program, Agency for Science Technology and Research (A*STAR), Singapore, 117609, Republic of Singapore
| | - Birit F P Broekman
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), 30 Medical Drive, Brenner Centre for Molecular Medicine, Singapore, 117609, Republic of Singapore
- Department of Psychiatry and Medical Psychology, OLVG, Amsterdam Public Health, Amsterdam, The Netherlands
- Department of Psychiatry, Amsterdam UMC, Vrije Universiteit van, Amsterdam, The Netherlands
| | - Bobby K Cheon
- Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD, 20847, USA.
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2
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Putra IGNE, Daly M, Sutin A, Steptoe A, Robinson E. The psychological legacy of past obesity and early mortality: evidence from two longitudinal studies. BMC Med 2023; 21:448. [PMID: 37974151 PMCID: PMC10655273 DOI: 10.1186/s12916-023-03148-3] [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: 05/12/2023] [Accepted: 11/01/2023] [Indexed: 11/19/2023] Open
Abstract
BACKGROUND We test a novel 'weight scarring' hypothesis which suggests that past obesity is associated with impairments in current psychological well-being and this increases risk of negative physical health outcomes associated with obesity. Across two nationally representative studies, we tested whether past obesity is associated with current psychological outcomes and whether these psychological outcomes explain the association between past obesity and subsequent early mortality. METHODS Data were from the National Health and Nutrition Examination Survey (NHANES) (n = 29,047) and the Health and Retirement Study (HRS) (n = 11,998). Past obesity was defined based on maximum lifetime weight in NHANES and the highest weight from past study waves in the HRS. Across both studies, current depressive symptoms were analysed. A set of 10 additional well-being measures were combined to produce an 'index of impaired well-being' in HRS. Subsequent all-cause mortality was examined using National Deaths Index records in NHANES and household interviews in HRS. Linear or logistic regression, Cox proportional hazard regression, and causal mediation models were used. RESULTS We found that past obesity was associated with greater current depressive symptoms after controlling for current weight status and in analyses limited to those who were no longer classified as having obesity in NHANES (β = 0.17; 95% CI: 0.13, 0.22) and HRS (β = 0.20; 95% CI: 0.08, 0.31). In HRS, past obesity was also associated with a range of current negative psychological outcomes, including an index of impaired psychological well-being (β = 0.16; 95% CI: 0.05, 0.27). Past obesity was associated with a higher risk of early mortality in both NHANES and HRS (HR = 1.31; 95% CI: 1.16, 1.48 and HR = 1.34; 95% CI: 1.20, 1.50, respectively). Depressive symptoms explained 6% (95% CI: 0.01, 0.10) and 5% (95% CI: 0.01, 0.09) of the association between past obesity and premature mortality in NHANES and HRS, respectively. Impaired psychological well-being partly mediated the association between past obesity and premature mortality by 10% (95% CI: 0.04, 0.16) in HRS. CONCLUSIONS Our findings suggest that there may be a psychological legacy of past obesity that is associated with raised mortality risk. Ensuring people with obesity receive psychological support even after experiencing weight loss may be important.
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Affiliation(s)
- I Gusti Ngurah Edi Putra
- Department of Psychology, Institute of Population Health, University of Liverpool, Eleanor Rathbone Building, Bedford Street South, Liverpool, L69 7ZA, UK.
| | - Michael Daly
- Department of Psychology, Maynooth University, Maynooth, Ireland
| | - Angelina Sutin
- Department of Behavioral Sciences and Social Medicine, Florida State University College of Medicine, Tallahassee, USA
| | - Andrew Steptoe
- Department of Behavioural Science and Health, Institute of Epidemiology and Health Care, Faculty of Population Health Sciences, University College London, London, UK
| | - Eric Robinson
- Department of Psychology, Institute of Population Health, University of Liverpool, Eleanor Rathbone Building, Bedford Street South, Liverpool, L69 7ZA, UK
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3
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Byrne ME, Tanofsky-Kraff M, Liuzzi L, Holroyd T, Parker MN, Bloomer BF, Nugent A, Brady SM, Yang SB, Turner SA, Pine DS, Yanovski JA. Neural underpinnings of threat bias in relation to loss-of-control eating behaviors among adolescent girls with high weight. Front Psychiatry 2023; 14:1276300. [PMID: 37965354 PMCID: PMC10642175 DOI: 10.3389/fpsyt.2023.1276300] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/11/2023] [Accepted: 09/22/2023] [Indexed: 11/16/2023] Open
Abstract
Introduction Loss-of-control (LOC) eating, a key feature of binge-eating disorder, may relate attentional bias (AB) to highly salient interpersonal stimuli. The current pilot study used magnetoencephalography (MEG) to explore neural features of AB to socially threatening cues in adolescent girls with and without LOC-eating. Methods Girls (12-17 years old) with overweight or obesity (BMI >85th percentile) completed an AB measure on an affective dot-probe AB task during MEG and evoked neural responses to angry or happy (vs. neutral) face cues were captured. A laboratory test meal paradigm measured energy intake and macronutrient consumption patterns. Results Girls (N = 34; Mage = 15.5 ± 1.5 years; BMI-z = 1.7 ± 0.4) showed a blunted evoked response to the presentation of angry face compared with neutral face cues in the left dorsolateral prefrontal cortex, a neural region implicated in executive control and regulation processes, during attention deployment (p < 0.01). Compared with those without LOC-eating (N = 21), girls with LOC-eating (N = 13) demonstrated a stronger evoked response to angry faces in the visual cortex during attention deployment (p < 0.001). Visual and cognitive control ROIs had trends suggesting interaction with test meal intake patterns among girls with LOC-eating (ps = 0.01). Discussion These findings suggest that girls with overweight or obesity may fail to adaptively engage neural regions implicated in higher-order executive processes. This difficulty may relate to disinhibited eating patterns that could lead to excess weight gain.
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Affiliation(s)
- Meghan E. Byrne
- Section on Development and Affective Neuroscience, Emotion and Development Branch, National Institute of Mental Health (NIMH), Bethesda, MD, United States
- Division of Intramural Research, National Institutes of Health (NIH), Section on Growth and Obesity, Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), Bethesda, MD, United States
| | - Marian Tanofsky-Kraff
- Division of Intramural Research, National Institutes of Health (NIH), Section on Growth and Obesity, Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), Bethesda, MD, United States
- Department of Medical and Clinical Psychology, USUHS, Bethesda, MD, United States
- Military Cardiovascular Outcomes Research (MiCOR) Program, Department of Medicine, Uniformed Services University of the Health Sciences (USUHS), Bethesda, MD, United States
| | - Lucrezia Liuzzi
- Section on Development and Affective Neuroscience, Emotion and Development Branch, National Institute of Mental Health (NIMH), Bethesda, MD, United States
| | - Tom Holroyd
- MEG Core Facility, National Institute of Mental Health (NIMH), Bethesda, MD, United States
| | - Megan N. Parker
- Division of Intramural Research, National Institutes of Health (NIH), Section on Growth and Obesity, Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), Bethesda, MD, United States
- Department of Medical and Clinical Psychology, USUHS, Bethesda, MD, United States
| | - Bess F. Bloomer
- Division of Intramural Research, National Institutes of Health (NIH), Section on Growth and Obesity, Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), Bethesda, MD, United States
| | - Allison Nugent
- MEG Core Facility, National Institute of Mental Health (NIMH), Bethesda, MD, United States
| | - Sheila M. Brady
- Division of Intramural Research, National Institutes of Health (NIH), Section on Growth and Obesity, Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), Bethesda, MD, United States
| | - Shanna B. Yang
- Nutrition Department, Clinical Center, NIH, Bethesda, MD, United States
| | - Sara A. Turner
- Nutrition Department, Clinical Center, NIH, Bethesda, MD, United States
| | - Daniel S. Pine
- Section on Development and Affective Neuroscience, Emotion and Development Branch, National Institute of Mental Health (NIMH), Bethesda, MD, United States
| | - Jack A. Yanovski
- Division of Intramural Research, National Institutes of Health (NIH), Section on Growth and Obesity, Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), Bethesda, MD, United States
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Marqués-Sánchez P, Martínez-Fernández MC, Benítez-Andrades JA, Quiroga-Sánchez E, García-Ordás MT, Arias-Ramos N. Adolescent relational behaviour and the obesity pandemic: A descriptive study applying social network analysis and machine learning techniques. PLoS One 2023; 18:e0289553. [PMID: 37582086 PMCID: PMC10427001 DOI: 10.1371/journal.pone.0289553] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2023] [Accepted: 07/20/2023] [Indexed: 08/17/2023] Open
Abstract
AIM To study the existence of subgroups by exploring the similarities between the attributes of the nodes of the groups, in relation to diet and gender and, to analyse the connectivity between groups based on aspects of similarities between them through SNA and artificial intelligence techniques. METHODS 235 students from 5 different educational centres participate in this study between March and December 2015. Data analysis carried out is divided into two blocks: social network analysis and unsupervised machine learning techniques. As for the social network analysis, the Girvan-Newman technique was applied to find the best number of cohesive groups within each of the friendship networks of the different classes analysed. RESULTS After applying Girvan-Newman in the three classes, the best division into clusters was respectively 2 for classroom A, 7 for classroom B and 6 for classroom C. There are significant differences between the groups and the gender and diet variables. After applying K-means using population diet as an input variable, a K-means clustering of 2 clusters for class A, 3 clusters for class B and 3 clusters for class C is obtained. CONCLUSION Adolescents form subgroups within their classrooms. Subgroup cohesion is defined by the fact that nodes share similarities in aspects that influence obesity, they share attributes related to food quality and gender. The concept of homophily, related to SNA, justifies our results. Artificial intelligence techniques together with the application of the Girvan-Newman provide robustness to the structural analysis of similarities and cohesion between subgroups.
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Affiliation(s)
- Pilar Marqués-Sánchez
- Faculty of Health Sciences, SALBIS Research Group, Campus de Ponferrada, Universidad de León, León, Spain
| | | | - José Alberto Benítez-Andrades
- Department of Electric, SALBIS Research Group, Systems and Automatics Engineering, Universidad de León, León, León, Spain
| | - Enedina Quiroga-Sánchez
- Faculty of Health Sciences, SALBIS Research Group, Campus de Ponferrada, Universidad de León, León, Spain
| | - María Teresa García-Ordás
- SECOMUCI Research Group, Escuela de Ingenierías Industrial e Informática, Universidad de León, León, León, Spain
| | - Natalia Arias-Ramos
- Faculty of Health Sciences, SALBIS Research Group, Campus de Ponferrada, Universidad de León, León, Spain
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5
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Aguirre MDJX, Drumond Andrade FC, Aguirre MAC, Justino JR, Maciel BLL. Social Network, Food Patterns, Physical Activity and Associations with Overweight and Obesity in Adolescents from a School in Rural Brazil. Nutrients 2023; 15:3305. [PMID: 37571243 PMCID: PMC10421155 DOI: 10.3390/nu15153305] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2023] [Revised: 07/08/2023] [Accepted: 07/20/2023] [Indexed: 08/13/2023] Open
Abstract
The objective of this study was to evaluate the social network, food patterns, physical activity, and their associations with overweight/obesity in adolescents from a school in rural Brazil. Students from a rural school in Northeast Brazil (n = 90) completed questionnaires on sociodemographic characteristics, food consumption, physical activity, and a name generator. Social networks were constructed using students' social proximity ties. Principal component analysis was performed to determine food patterns, and logistic models were used to investigate variables associated with overweight/obesity. Most participants were girls (62.9%), and the proportion of overweight/obesity was 30% among adolescents. Students cited 2070 people from their networks (family, friends at school, friends outside of school, and others). Among them, the family had the highest degree of influence (61%) in the network and had the most shared meals with adolescents (47%). Adolescents' perception of their family members' body size as obese, compared to normal or underweight, was prevalent (51%). Adolescents with unhealthy food patterns were 72% more likely to be categorized as overweight/obese, and eigenvector centrality was also associated with overweight/obesity (OR = 5.88, 95% CI = 1.08-32.03). Adolescents presented a social network with strong family influence, in which a high percentage of overweight/obesity was observed. Adolescents with high eigenvector centrality were more likely to be in the overweight/obesity category. Additionally, overweight/obesity was associated with unhealthy food patterns in the family network.
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Affiliation(s)
| | | | | | - Josivan Ribeiro Justino
- Computer Science Academic Department, Federal University of Rondônia, Porto Velho 76808-695, Brazil
| | - Bruna Leal Lima Maciel
- Graduate Program in Health Sciences, Federal University of Rio Grande do Norte, Natal 59078-970, Brazil
- Department of Nutrition, Federal University of Rio Grande do Norte, Natal 59078-970, Brazil
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6
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Killedar A, Lung T, Taylor RW, Hayes A. Modelled Distributional Cost-Effectiveness Analysis of Childhood Obesity Interventions: A Demonstration. APPLIED HEALTH ECONOMICS AND HEALTH POLICY 2023; 21:615-625. [PMID: 37221341 DOI: 10.1007/s40258-023-00813-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 05/02/2023] [Indexed: 05/25/2023]
Abstract
OBJECTIVE To demonstrate how distributional cost-effectiveness analyses of childhood obesity interventions could be conducted and presented for decision makers. METHODS We conducted modelled distributional cost-effectiveness analyses of three obesity interventions in children: an infant sleep intervention (POI-Sleep), a combined infant sleep, food, activity and breastfeeding intervention (POI-Combo) and a clinician-led treatment for primary school-aged children with overweight and obesity (High Five for Kids). For each intervention, costs and socioeconomic position (SEP)-specific effect sizes were applied to an Australian child cohort (n = 4898). Using a purpose-built microsimulation model we simulated SEP-specific body mass index (BMI) trajectories, healthcare costs and quality-adjusted life years (QALYs) from age 4 to 17 years for control and intervention cohorts. We examined the distribution of each health outcome across SEP and determined the net health benefit and equity impact accounting for opportunity costs and uncertainty due to individual-level heterogeneity. Finally, we conducted scenario analyses to test the effect of assumptions about health system marginal productivity, the distribution of opportunity costs and SEP-specific effect sizes. The results of the primary analyses, uncertainty analyses and scenario analyses were presented on an efficiency-equity impact plane. RESULTS Accounting for uncertainty, POI-Sleep and High Five for Kids were found to be 'win-win' interventions, with a 67% and 100% probability, respectively, of generating a net health benefit and positive equity impact compared with control. POI-Combo was found to be a 'lose-lose' intervention, with a 91% probability of producing a net health loss and a negative equity impact compared with control. Scenario analyses indicated that SEP-specific effect sizes were highly influential on equity impact estimates for POI-Combo and High Five for Kids, while health system marginal productivity and opportunity cost distribution assumptions primarily influenced the net health benefit and equity impact of POI-Combo. CONCLUSIONS These analyses demonstrated that distributional cost-effectiveness analyses using a fit-for-purpose model are appropriate for differentiating and communicating the efficiency and equity impacts of childhood obesity interventions.
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Affiliation(s)
- Anagha Killedar
- Menzies Centre for Health Policy and Economics, School of Public Health, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, 2006, Australia.
| | - Thomas Lung
- The George Institute for Global Health, University of New South Wales, Sydney, NSW, 2042, Australia
- School of Public Health, Faculty of Medicine and Health, University of Sydney, Sydney, Australia
| | - Rachael W Taylor
- Department of Medicine, University of Otago, Dunedin, New Zealand
| | - Alison Hayes
- School of Public Health, Faculty of Medicine and Health, University of Sydney, Sydney, Australia
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7
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Buoncristiano M, Williams J, Simmonds P, Nurk E, Ahrens W, Nardone P, Rito AI, Rutter H, Bergh IH, Starc G, Jonsson KR, Spinelli A, Vandevijvere S, Mäki P, Milanović SM, Salanave B, Yardim MS, Hejgaard T, Fijałkowska A, Abdrakhmanova S, Abdurrahmonova Z, Duleva V, Farrugia Sant'Angelo V, García-Solano M, Gualtieri A, Gutiérrez-González E, Huidumac-Petrescu C, Hyska J, Kelleher CC, Kujundžić E, Peterkova V, Petrauskiene A, Pudule I, Sacchini E, Shengelia L, Tanrygulyyeva M, Taxová Braunerová R, Usupova Z, Maruszczak K, Ostojic SM, Spiroski I, Stojisavljević D, Wickramasinghe K, Breda J. Socioeconomic inequalities in overweight and obesity among 6- to 9-year-old children in 24 countries from the World Health Organization European region. Obes Rev 2021; 22 Suppl 6:e13213. [PMID: 34184399 DOI: 10.1111/obr.13213] [Citation(s) in RCA: 46] [Impact Index Per Article: 15.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/11/2021] [Accepted: 01/12/2021] [Indexed: 01/17/2023]
Abstract
Childhood overweight and obesity have significant short- and long-term negative impacts on children's health and well-being. These challenges are unequally distributed according to socioeconomic status (SES); however, previous studies have often lacked standardized and objectively measured data across national contexts to assess these differences. This study provides a cross-sectional picture of the association between SES and childhood overweight and obesity, based on data from 123,487 children aged 6-9 years in 24 countries in the World Health Organization (WHO) European region. Overall, associations were found between overweight/obesity and the three SES indicators used (parental education, parental employment status, and family-perceived wealth). Our results showed an inverse relationship between the prevalence of childhood overweight/obesity and parental education in high-income countries, whereas the opposite relationship was observed in most of the middle-income countries. The same applied to family-perceived wealth, although parental employment status appeared to be less associated with overweight and obesity or not associated at all. This paper highlights the need for close attention to context when designing interventions, as the association between SES and childhood overweight and obesity varies by country economic development. Population-based interventions have an important role to play, but policies that target specific SES groups are also needed to address inequalities.
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Affiliation(s)
- Marta Buoncristiano
- World Health Organization (WHO) European Office for the Prevention and Control of Noncommunicable Diseases, Division of Country Health Programmes, WHO Regional Office for Europe, Moscow, Russian Federation
| | - Julianne Williams
- World Health Organization (WHO) European Office for the Prevention and Control of Noncommunicable Diseases, Division of Country Health Programmes, WHO Regional Office for Europe, Moscow, Russian Federation
| | - Philippa Simmonds
- World Health Organization (WHO) European Office for the Prevention and Control of Noncommunicable Diseases, Division of Country Health Programmes, WHO Regional Office for Europe, Moscow, Russian Federation
| | - Eha Nurk
- Department of Nutrition Research, National Institute for Health Development, Tallinn, Estonia
| | - Wolfgang Ahrens
- Leibniz Institute for Prevention Research and Epidemiology, BIPS, Bremen, Germany.,Faculty of Mathematics and Computer Science, University of Bremen, Bremen, Germany
| | - Paola Nardone
- National Centre for Disease Prevention and Health Promotion, Italian National Institute of Health (Istituto Superiore di Sanità), Rome, Italy
| | - Ana Isabel Rito
- WHO/Europe Collaborating Center for Nutrition and Childhood Obesity - Food and Nutrition Department, National Institute of Health Dr. Ricardo Jorge, Lisbon, Portugal
| | - Harry Rutter
- Department of Social and Policy Sciences, University of Bath, Bath, UK
| | - Ingunn Holden Bergh
- Department of Health and Inequality, Division of Mental and Physical Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Gregor Starc
- Faculty of Sport, University of Ljubljana, Ljubljana, Slovenia
| | - Kenisha Russell Jonsson
- Department of Living Conditions and Lifestyle, Public Health Agency of Sweden, Solna, Sweden
| | - Angela Spinelli
- National Centre for Disease Prevention and Health Promotion, Italian National Institute of Health (Istituto Superiore di Sanità), Rome, Italy
| | | | - Päivi Mäki
- Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Sanja Musić Milanović
- Croatian Institute of Public Health, Zagreb, Croatia.,School of Medicine, University of Zagreb, Zagreb, Croatia
| | - Benoît Salanave
- Departement of Non-Communicable Diseases and Traumatisms, Santé publique France, the French Public Health Agency, Saint Maurice, France.,Nutritional Surveillance and Epidemiology Team (ESEN), University Sorbonne Paris Nord, Bobigny, France
| | | | - Tatjana Hejgaard
- Health Promotion and Inequality, Danish Health Authority, Copenhagen, Denmark
| | - Anna Fijałkowska
- Department of Cardiology, Institute of Mother and Child, Warsaw, Poland
| | - Shynar Abdrakhmanova
- Department of Science and Professional Development, National Center of Public Health of the Ministry of Health of the Republic of Kazakhstan, Almaty, Kazakhstan.,Kazakhstan School of Public Health, Kazakhstan's Medical University, Almaty, Kazakhstan
| | - Zulfiya Abdurrahmonova
- Republican Centre for Nutrition, Ministry of Health and Social Protection of Population, Dushanbe, Tajikistan
| | - Vesselka Duleva
- Department Food and Nutrition, National Centre of Public Health and Analyses, Sofia, Bulgaria
| | | | - Marta García-Solano
- Spanish Agency for Food Safety and Nutrition, Ministry of Consumer Affairs, Madrid, Spain
| | | | | | - Constanta Huidumac-Petrescu
- National Center for Health Assessment and Promotion, National Institute of Public Health, Bucharest, Romania
| | - Jolanda Hyska
- Nutrition and Food Safety Sector, Institute of Public Health, Tirana, Albania
| | - Cecily C Kelleher
- College of Health and Agricultural Sciences, University College Dublin, Dublin, Ireland
| | - Enisa Kujundžić
- Center for Health Ecology, Institute of Public Health, Podgorica, Montenegro
| | - Valentina Peterkova
- Institute of Paediatric Endocrinology, National Medical Research Centre for Endocrinology of the Ministry of Health of the Russian Federation, Moscow, Russian Federation
| | - Ausra Petrauskiene
- Department of Preventive Medicine, Lithuanian University of Health Sciences, Kaunas, Lithuania
| | - Iveta Pudule
- Department of Research and Health Statistics, Centre for Disease and Prevention Control, Riga, Latvia
| | - Elena Sacchini
- Health Authority, Ministry of Health, San Marino, San Marino
| | - Lela Shengelia
- Maternal, Child and Reproductive Health, National Center for Disease Control and Public Health of Georgia, Tbilisi, Georgia
| | - Maya Tanrygulyyeva
- Scientific Research Institute of Maternal and Child Health, Ashgabat, Turkmenistan
| | | | - Zhamilya Usupova
- Republican Center for Health Promotion and Mass Communication, Ministry of Health of the Kyrgyz Republic, Bishkek, Kyrgyzstan
| | | | - Sergej M Ostojic
- Biomedical Sciences Department, Faculty of Sport and Physical Education, University of Novi Sad, Novi Sad, Serbia
| | - Igor Spiroski
- Institute of Public Health, Skopje, North Macedonia.,Faculty of Medicine, SS. Cyril and Methodius University, Skopje, North Macedonia
| | - Dragana Stojisavljević
- Faculty of Medicine, University of Banja Luka, Banja Luka, Bosnia and Herzegovina.,Public Health Institute of Republic of Srpska, Banja Luka, Bosnia and Herzegovina
| | - Kremlin Wickramasinghe
- World Health Organization (WHO) European Office for the Prevention and Control of Noncommunicable Diseases, Division of Country Health Programmes, WHO Regional Office for Europe, Moscow, Russian Federation
| | - João Breda
- World Health Organization (WHO) European Office for the Prevention and Control of Noncommunicable Diseases, Division of Country Health Programmes, WHO Regional Office for Europe, Moscow, Russian Federation
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8
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Yang Y, Jin Z, Liu S, Jin X, Huang H, Tong S. Abnormal body mass index may be related to poor social function of female children by a propensity score matching analysis. Sci Rep 2021; 11:6333. [PMID: 33737721 PMCID: PMC7973791 DOI: 10.1038/s41598-021-85911-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2020] [Accepted: 03/08/2021] [Indexed: 11/18/2022] Open
Abstract
This study sought to estimate the association of children’s body mass index (BMI) with their social function in Shanghai China. A large population-based cross-sectional study based on a propensity score matching (PSM) analysis was conducted. BMI was compared according to social communication questionnaire (SCQ) classification, and then SCQ score was compared in terms of BMI grouping before and after PSM. A positive SCQ was considered to indicate poor social communication and a negative SCQ was then supposed to be normal. After 1:3 matching, a total of 7563 children aged 3–12 years were included in analysis. There were statistically significant positive correlation of BMI with SCQ scores for obese females of school age (R2 = 0.043, p < 0.001) and negative correlation of these two variables for school-aged females with malnutrition (R2 = 0.047, p = 0.027). In conclusion, BMI may be characterized as one of predictive factor for poor social function of these children.
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Affiliation(s)
- You Yang
- Department of Developmental and Behavioral Pediatrics, Shanghai Children's Medical Center, Shanghai Jiaotong University School of Medicine, 1678 Dongfang Road, Shanghai, 200127, People's Republic of China
| | - Zhijuan Jin
- Department of Developmental and Behavioral Pediatrics, Shanghai Children's Medical Center, Shanghai Jiaotong University School of Medicine, 1678 Dongfang Road, Shanghai, 200127, People's Republic of China
| | - Shijian Liu
- Pediatric Translational Medicine Institute, Shanghai Children's Medical Center, Shanghai Jiaotong University School of Medicine, Shanghai, People's Republic of China
| | - Xingming Jin
- Department of Developmental and Behavioral Pediatrics, Shanghai Children's Medical Center, Shanghai Jiaotong University School of Medicine, 1678 Dongfang Road, Shanghai, 200127, People's Republic of China. .,Shanghai Pubin Children's Hospital, Shanghai, 200120, People's Republic of China.
| | - Hong Huang
- Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiaotong University School of Medicine, 1665 Kongjiang Road, Shanghai, 200092, People's Republic of China.
| | - Shilu Tong
- Department of Clinical Epidemiology and Biostatistics, Shanghai Children's Medical Center, Shanghai Jiaotong University School of Medicine, Shanghai, People's Republic of China.,School of Public Health, Anhui Medical University, Hefei, People's Republic of China.,School of Public Health and Social Work, Queensland University of Technology, Brisbane, Australia
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9
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Marqués-Sánchez P, Benítez-Andrades JA, Calvo Sánchez MD, Arias N. The socialisation of the adolescent who carries out team sports: a transversal study of centrality with a social network analysis. BMJ Open 2021; 11:e042773. [PMID: 33692178 PMCID: PMC7949419 DOI: 10.1136/bmjopen-2020-042773] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/16/2020] [Revised: 02/11/2021] [Accepted: 03/01/2021] [Indexed: 12/16/2022] Open
Abstract
OBJECTIVES To analyse the physical activity carried out by the adolescents in the study, its relationship to being overweight (overweight+obese) and to analyse the structure of the social network of friendship established in adolescents doing group sports, using different parameters indicative of centrality. SETTING It was carried out in an educational environment, in 11 classrooms belonging to 5 Schools in Ponferrada (Spain). PARTICIPANTS 235 adolescents were included in the study (49.4% female), who were classified as normal weight or overweight. PRIMARY AND SECONDARY OUTCOME MEASURES Physical Activity Questionnaire for Adolescents (PAQ-A) was used to study the level of physical activity. A social network analysis was carried out to analyse structural variables of centrality in different degrees of contact. RESULTS 30.2% of the participants in our study were overweight. Relative to female participants in this study, males obtained significantly higher scores in the PAQ-A (OR: 2.11; 95% CI: 1.04 to 4.25; p value: 0.036) and were more likely to participate in group sport (OR: 4.59; 95% CI: 2.28 to 9.22; p value: 0.000). We found no significant relationship between physical activity and the weight status in the total sample, but among female participants, those with overweight status had higher odds of reporting high levels of physical exercise (OR: 4.50; 95% CI: 1.21 to 16.74; p value: 0.025). In terms of centrality, differentiating by gender, women who participated in group sports were more likely to be classified as having low values of centrality, while the opposite effect occurred for men, more likely to be classified as having high values of centrality. CONCLUSIONS Our findings, with limitations, underline the importance of two fundamental aspects to be taken into account in the design of future strategies: gender and the centrality within the social network depending on the intensity of contact they have with their peers.
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Affiliation(s)
- Pilar Marqués-Sánchez
- Nursing and Physiotherapy, Universidad de León-Campus de Ponferrada, Ponferrada, Castilla y León, Spain
| | | | | | - Natalia Arias
- Nursing and Physiotherapy, Universidad de León-Campus de Ponferrada, Ponferrada, Castilla y León, Spain
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10
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MacIntyre RI, Heron KE, Crosby RD, Engel SG, Wonderlich SA, Mason TB. Measurement of the influences of social processes in appetite using ecological momentary assessment. Appetite 2021; 161:105126. [PMID: 33515621 DOI: 10.1016/j.appet.2021.105126] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2020] [Revised: 11/23/2020] [Accepted: 01/11/2021] [Indexed: 11/16/2022]
Abstract
Obesity and eating disorders are serious health concerns that both involve dysregulated eating patterns, including binge eating and emotional eating. Though social processes and appetite dysregulation have been shown to predict dysregulated eating separately, limited research has examined the potential link between social processes and appetite in daily life. The purpose of the present study was to examine the association between naturally occurring social processes previously linked with dysregulated eating and appetite using ecological momentary assessment (EMA). Thirty women with binge-eating pathology completed five semi-random EMA surveys a day for 14 days. The EMA surveys included measures of social processes that occurred between surveys (i.e., interpersonal problems, body social comparisons, social media use, and external pressures for thinness) and assessments of appetite at time of survey. Multilevel analyses revealed that each social process approximately 2-h prior positively predicted appetite. Further, using lagged analyses, all of the social processes approximately 4-h prior, aside from social media use, predicted appetite. Our findings suggest that social processes are important in predicting appetite among women with binge-eating pathology. Future extensions of this research that include measures of dysregulated eating are needed.
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Affiliation(s)
- Rachel I MacIntyre
- The Virginia Consortium Program in Clinical Psychology, Norfolk, VA, USA.
| | - Kristin E Heron
- The Virginia Consortium Program in Clinical Psychology, Norfolk, VA, USA; Department of Psychology, Old Dominion University, Norfolk, VA, USA
| | - Ross D Crosby
- Center for Biobehavioral Research, Sanford Health, Fargo, ND, USA
| | - Scott G Engel
- Center for Biobehavioral Research, Sanford Health, Fargo, ND, USA
| | | | - Tyler B Mason
- Department of Preventive Medicine, University of Southern California, Los Angeles, CA, USA
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11
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Albano G, Rowlands K, Baciadonna L, Coco GL, Cardi V. Interpersonal difficulties in obesity: A systematic review and meta-analysis to inform a rejection sensitivity-based model. Neurosci Biobehav Rev 2019; 107:846-861. [PMID: 31585134 DOI: 10.1016/j.neubiorev.2019.09.039] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2019] [Revised: 09/05/2019] [Accepted: 09/29/2019] [Indexed: 01/27/2023]
Abstract
Obesity is associated with difficulties due to stigma and loneliness. These impact negatively on individuals' quality of life and behaviour change efforts. Increased sensitivity to others' negative feedback might play a role in the maintenance of these difficulties and could be addressed in psychological interventions. We conducted a systematic review of interpersonal difficulties in individuals with obesity, across the lifespan. We investigated early interpersonal adversity (i.e. frequency of teasing/bullying), perceived interpersonal stress and quality of social life, based on a rejection sensitivity model. The databases PubMed, Web of Knowledge and AGRIS, Embase, Medline and PsychINFO were searched for published peer-reviewed journal articles (1980-June 2018). Thirty-two studies met inclusion criteria. Results from the meta-analyses (n = 16 studies) indicated that overweight/obese individuals reported more frequent experiences of teasing/bullying, greater interpersonal stress and poorer quality of social life than healthy weight individuals. Findings in the systematic review aligned to this evidence. Psychological interventions targeting increased sensitivity to negative interpersonal feedback could improve interpersonal functioning and, in turn, eating behaviours in individuals with obesity.
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Affiliation(s)
- Gaia Albano
- Section of Eating Disorders, Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK; Department of Psychology, Educational Science and Human Movement, University of Palermo, Palermo, Italy.
| | - Katie Rowlands
- Section of Eating Disorders, Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
| | - Luigi Baciadonna
- Queen Mary University of London, Biological and Experimental Psychology, School of Biological and Chemical Sciences, London, UK.
| | - Gianluca Lo Coco
- Department of Psychology, Educational Science and Human Movement, University of Palermo, Palermo, Italy.
| | - Valentina Cardi
- Section of Eating Disorders, Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
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