Jet D.S. van de Geest , Paul Meijer , Sharon Remmelzwaal , Jeroen Lakerveld
{"title":"Moderators and mediators of the association between the obesogenicity of neighbourhoods and weight status in Dutch adults","authors":"Jet D.S. van de Geest , Paul Meijer , Sharon Remmelzwaal , Jeroen Lakerveld","doi":"10.1016/j.healthplace.2024.103364","DOIUrl":null,"url":null,"abstract":"<div><div>This study aimed to assess sociodemographic, personality, and psychological moderators, and lifestyle behavioural mediators, of the association between obesogenicity of neighbourhoods and weight status in Dutch adults. This cross-sectional study used baseline data of 150,506 adult participants of the Lifelines study. To quantify obesogenicity of Dutch neighbourhoods, the Obesogenic Built Environment CharacterisTics (OBCT) index was used, calculated for 1000 m circular buffers around participant's residencies. Z-scores of components across food and physical activity (PA) environments were averaged, and rescaled from 0 to 100. Weight status was operationalised as objectively measured waist circumference. Stratified linear regression analyses by (self-reported) sociodemographic factors, perceived stress, impulsivity, self-discipline, and deliberation were conducted when interaction terms were significant (<em>P</em> < .01). Mediation by adherence to the Dutch PA guidelines and dietary behaviour was examined using the difference-in-coefficients approach. Every 10% increase in OBCT index was associated with a 0.65 (<em>P</em> < .001, 95%CI [0.59, 0.71]) centimetre larger waist circumference. The association was largest for respondents who were younger, had the lowest income, the highest educational level, the least self-discipline, the highest impulsivity scores and the most perceived stress. Adherence to PA guidelines and dietary behaviour mediated 13.3% of this association; however, the difference in coefficients was not statistically significant. Our findings enable to better target lifestyle interventions to individuals most vulnerable to obesogenic environments. Furthermore, they provide guidance for policymakers and urban planners in promoting health-enhancing environments.</div></div>","PeriodicalId":49302,"journal":{"name":"Health & Place","volume":"90 ","pages":"Article 103364"},"PeriodicalIF":3.8000,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Health & Place","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1353829224001928","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH","Score":null,"Total":0}
引用次数: 0
Abstract
This study aimed to assess sociodemographic, personality, and psychological moderators, and lifestyle behavioural mediators, of the association between obesogenicity of neighbourhoods and weight status in Dutch adults. This cross-sectional study used baseline data of 150,506 adult participants of the Lifelines study. To quantify obesogenicity of Dutch neighbourhoods, the Obesogenic Built Environment CharacterisTics (OBCT) index was used, calculated for 1000 m circular buffers around participant's residencies. Z-scores of components across food and physical activity (PA) environments were averaged, and rescaled from 0 to 100. Weight status was operationalised as objectively measured waist circumference. Stratified linear regression analyses by (self-reported) sociodemographic factors, perceived stress, impulsivity, self-discipline, and deliberation were conducted when interaction terms were significant (P < .01). Mediation by adherence to the Dutch PA guidelines and dietary behaviour was examined using the difference-in-coefficients approach. Every 10% increase in OBCT index was associated with a 0.65 (P < .001, 95%CI [0.59, 0.71]) centimetre larger waist circumference. The association was largest for respondents who were younger, had the lowest income, the highest educational level, the least self-discipline, the highest impulsivity scores and the most perceived stress. Adherence to PA guidelines and dietary behaviour mediated 13.3% of this association; however, the difference in coefficients was not statistically significant. Our findings enable to better target lifestyle interventions to individuals most vulnerable to obesogenic environments. Furthermore, they provide guidance for policymakers and urban planners in promoting health-enhancing environments.