Neighborhood socioeconomic differences in BMI: The role of fast-food outlets and physical activity facilities

被引:5
作者
van Diepen, Rianne J. [1 ]
van Erpecum, Carel-Peter L. [2 ]
Tabak, Demi [1 ]
van Zon, Sander K. R. [3 ]
Bultmann, Ute [3 ]
Smidt, Nynke [2 ]
机构
[1] Univ Groningen, Fac Med Sci, Groningen, Netherlands
[2] Univ Groningen, Univ Med Ctr Groningen, Dept Epidemiol, Hanzepl 1, NL-9700 RB Groningen, Netherlands
[3] Univ Groningen, Univ Med Ctr Groningen, Dept Hlth Sci Community & Occupat Med, Groningen, Netherlands
关键词
ALL-CAUSE MORTALITY; MISSING DATA; ENVIRONMENT; OBESITY;
D O I
10.1002/oby.23617
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
ObjectiveThe goal of this study was to investigate the association between neighborhood socioeconomic status (NSES) and BMI and to what extent this association is moderated by availability of fast-food (FF) outlets and pay-for-use physical activity (PA) facilities. MethodsBaseline data of adults in Lifelines (N = 146,629) were linked to Statistics Netherlands and a register using geocoding to compute, respectively, NSES (i.e., low, middle, high) and the number of FF outlets and PA facilities within 1 km of the residential address. Multivariable multilevel linear regression analyses were performed to examine the association between NSES and BMI. Two-way and three-way interaction terms were tested to examine moderation by FF outlets and PA facilities. ResultsParticipants living in low NSES areas had a higher BMI than participants living in high (B [95% CI]: 0.76 [0.65 to 0.87]) or middle NSES areas (B [95% CI]: 0.40 [0.28 to 0.51]), independent of individual socioeconomic status. Although two- and three-way interactions between NSES, FF outlets, and PA facilities were significant, stratified analyses did not show consistent moderation patterns. ConclusionsPeople living in lower NSES areas had a higher BMI, independent of their individual socioeconomic status. The study found no clear moderation of FF outlets and PA facilities. Environmental factors that may mitigate NSES differences in BMI should be the subject of future research.
引用
收藏
页码:506 / 514
页数:9
相关论文
共 44 条
[1]   Health-Risk Behaviour in Deprived Neighbourhoods Compared with Non-Deprived Neighbourhoods: A Systematic Literature Review of Quantitative Observational Studies [J].
Algren, Maria Holst ;
Bak, Carsten Kronborg ;
Berg-Beckhoff, Gabriele ;
Andersen, Pernille Tanggaard .
PLOS ONE, 2015, 10 (10)
[2]   Missing data within a quantitative research study: How to assess it, treat it, and why you should care [J].
Bannon, William, Jr. .
JOURNAL OF THE AMERICAN ASSOCIATION OF NURSE PRACTITIONERS, 2015, 27 (04) :230-232
[3]   Neighborhood socioeconomic status and perceptions of self-efficacy [J].
Boardman, JD ;
Robert, SA .
SOCIOLOGICAL PERSPECTIVES, 2000, 43 (01) :117-136
[4]   What Improves with Increased Missing Data Imputations? [J].
Bodner, Todd E. .
STRUCTURAL EQUATION MODELING-A MULTIDISCIPLINARY JOURNAL, 2008, 15 (04) :651-675
[5]   Creating 'obesogenic realities'; do our methodological choices make a difference when measuring the food environment? [J].
Burgoine, Thomas ;
Alvanides, Seraphim ;
Lake, Amelia A. .
INTERNATIONAL JOURNAL OF HEALTH GEOGRAPHICS, 2013, 12
[6]  
Centraal Bureau voor de Statistiek, 2011, KERNC WIJK BUURT 201
[7]   The costs and consequences of obesity in Germany: a new approach from a prevalence and life-cycle perspective [J].
Effertz, Tobias ;
Engel, Susanne ;
Verheyen, Frank ;
Linder, Roland .
EUROPEAN JOURNAL OF HEALTH ECONOMICS, 2016, 17 (09) :1141-1158
[8]   Associations between obesity and neighborhood socioeconomic status: Variations by gender and family income status [J].
Fan, Jessie X. ;
Wen, Ming ;
Li, Kelin .
SSM-POPULATION HEALTH, 2020, 10
[9]   The short-term effect of BMI, alcohol use, and related chronic conditions on labour market outcomes: A time-lag panel analysis utilizing European SHARE dataset [J].
Feigl, Andrea B. ;
Goryakin, Yevgeniy ;
Devaux, Marion ;
Lerouge, Alienor ;
Vuik, Sabine ;
Cecchini, Michele .
PLOS ONE, 2019, 14 (03)
[10]   Do neighbourhood socioeconomic circumstances not matter for weight status among Australian men? Multilevel evidence from a household survey of 14 691 adults [J].
Feng, Xiaoqi ;
Wilson, Andrew .
BMJ OPEN, 2015, 5 (09)