Laboratory-Assessed Markers of Cardiometabolic Health and Associations with GIS-Based Measures of Active-Living Environments

被引:14
作者
Hajna, Samantha [1 ,2 ]
Dasgupta, Kaberi [3 ,4 ,5 ,6 ]
Ross, Nancy A. [2 ]
机构
[1] Univ Cambridge, Sch Clin Med, Inst Metab Sci, MRC Epidemiol Unit, Cambridge Biomed Campus, Cambridge CB2 0QQ, England
[2] McGill Univ, Dept Geog, 805 Sherbrooke St West, Montreal, PQ H3A 0B9, Canada
[3] McGill Univ, Dept Epidemiol Biostat & Occupat Hlth, 1020 Pine Ave West, Montreal, PQ H3A 1A2, Canada
[4] McGill Univ, Hlth Ctr, Dept Med, Div Internal Med, Montreal, PQ H4A 3J1, Canada
[5] McGill Univ, Hlth Ctr, Dept Med, Div Clin Epidemiol, Montreal, PQ H4A 3J1, Canada
[6] McGill Univ, Hlth Ctr, Dept Med, Div Endocrinol & Metab, Montreal, PQ H4A 3J1, Canada
基金
英国医学研究理事会; 加拿大健康研究院;
关键词
neighborhood physical-activity environments; cardiometabolic health; body-mass index; blood pressure; physical activity; BODY-MASS INDEX; PHYSICAL-ACTIVITY; NEIGHBORHOOD WALKABILITY; RISK-FACTORS; MYOCARDIAL-INFARCTION; 52; COUNTRIES; INTERHEART;
D O I
10.3390/ijerph15102079
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Active-living-friendly environments have been linked to physical activity, but their relationships with specific markers of cardiometabolic health remain unclear. We estimated the associations between active-living environments and markers of cardiometabolic health, and explored the potential mediating role of physical activity in these associations. We used data collected on 2809 middle-aged adults who participated in the Canadian Health Measures Survey (2007-2009; 41.5 years, SD = 15.1). Environments were assessed using an index that combined GIS-derived measures of street connectivity, land use mix, and population density. Body mass index (BMI), systolic blood pressure (SBP), hemoglobin A1c, and cholesterol were assessed in a laboratory setting. Daily step counts and moderate-to-vigorous intensity physical activity (MVPA) were assessed for seven days using accelerometers. Associations were estimated using robust multivariable linear regressions adjusted for sociodemographic factors that were assessed via questionnaire. BMI was 0.79 kg/m(2) lower (95% confidence interval (CI) -1.31, -0.27) and SBP was 1.65 mmHg lower (95% CI -3.10, -0.20) in participants living in the most active-living-friendly environments compared to the least, independent of daily step counts or MVPA. A 35.4 min/week difference in MPVA (95% CI 24.2, 46.6) was observed between residents of neighborhoods in the highest compared to the lowest active-living-environment quartiles. Cycling to work rates were also the highest in participants living in the highest living-environment quartiles (e.g., Q4 vs. Q1: 10.4% vs. 4.9%). Although active-living environments are associated with lower BMI and SBP, and higher MVPA and cycling rates, neither daily step counts nor MVPA appear to account for environment-BMI/SBP relationships. This suggests that other factors not assessed in this study (e.g., food environment or unmeasured features of the social environment) may explain this relationship.
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页数:11
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