Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands; Upstream Team, Amsterdam UMC, VU University Amsterdam, the Netherlands.
Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands; Amsterdam University Medical Centers Location Vrije Universiteit, Epidemiology and Data Science, Amsterdam, the Netherlands; Amsterdam Public Health, Health Behaviours and Chronic Diseases, Amsterdam, the Netherlands; Upstream Team, Amsterdam UMC, VU University Amsterdam, the Netherlands.
Environ Res. 2024 Sep 1;256:119227. doi: 10.1016/j.envres.2024.119227. Epub 2024 May 24.
In this observational cross-sectional study, we investigated the relationship between combined obesogenic neighbourhood characteristics and various cardiovascular disease risk factors in adults, including BMI, systolic blood pressure, and blood lipids, as well as the prevalence of overweight/obesity, hypertension, and dyslipidaemia. We conducted a large-scale pooled analysis, comprising data from five Dutch cohort studies (n = 183,871). Neighbourhood obesogenicity was defined according to the Obesogenic Built-environmental CharacterisTics (OBCT) index. The index was calculated for 1000m circular buffers around participants' home addresses. For each cohort, the association between the OBCT index and prevalence of overweight/obesity, hypertension and dyslipidaemia was analysed using robust Poisson regression models. Associations with continuous measures of BMI, systolic blood pressure, LDL-cholesterol, HDL-cholesterol, and triglycerides were analysed using linear regression. All models were adjusted for age, sex, education level and area-level socio-economic status. Cohort-specific estimates were pooled using random-effects meta-analyses. The pooled results show that a 10 point higher OBCT index score was significantly associated with a 0.17 higher BMI (95%CI: 0.10 to 0.24), a 0.01 higher LDL-cholesterol (95% CI: 0.01 to 0.02), a 0.01 lower HDL cholesterol (95% CI: -0.02 to -0.01), and non-significantly associated with a 0.36 mmHg higher systolic blood pressure (95%CI: -0.14 to 0.65). A 10 point higher OBCT index score was also associated with a higher prevalence of overweight/obesity (PR = 1.03; 95% CI: 1.02 to 1.05), obesity (PR = 1.04; 95% CI: 1.01 to 1.08) and hypertension (PR = 1.02; 95% CI: 1.00 to 1.04), but not with dyslipidaemia. This large-scale pooled analysis of five Dutch cohort studies shows that higher neighbourhood obesogenicity, as measured by the OBCT index, was associated with higher BMI, higher prevalence of overweight/obesity, obesity, and hypertension. These findings highlight the importance of considering the obesogenic environment as a potential determinant of cardiovascular health.
在这项观察性的横断面研究中,我们研究了成年人中肥胖相关的邻里特征与各种心血管疾病风险因素之间的关系,包括 BMI、收缩压和血脂,以及超重/肥胖、高血压和血脂异常的患病率。我们进行了一项大规模的汇总分析,其中包括来自五个荷兰队列研究的数据(n=183871)。根据肥胖相关的建筑环境特征(OBCT)指数定义邻里肥胖特征。该指数是根据参与者家庭住址周围 1000 米的圆形缓冲区计算得出的。对于每个队列,使用稳健泊松回归模型分析 OBCT 指数与超重/肥胖、高血压和血脂异常的患病率之间的关系。使用线性回归分析与 BMI、收缩压、LDL-胆固醇、HDL-胆固醇和甘油三酯连续测量值的关联。所有模型均调整了年龄、性别、教育水平和地区社会经济地位。使用随机效应荟萃分析汇总队列特异性估计值。汇总结果表明,OBCT 指数每增加 10 分,BMI 就会显著增加 0.17(95%CI:0.10 至 0.24),LDL-胆固醇增加 0.01(95%CI:0.01 至 0.02),HDL 胆固醇降低 0.01(95%CI:-0.02 至-0.01),收缩压升高 0.36mmHg(95%CI:-0.14 至 0.65),但无统计学意义。OBCT 指数每增加 10 分,超重/肥胖的患病率也会升高(PR=1.03;95%CI:1.02 至 1.05),肥胖(PR=1.04;95%CI:1.01 至 1.08)和高血压(PR=1.02;95%CI:1.00 至 1.04),但与血脂异常无关。这项对五个荷兰队列研究的大型汇总分析表明,OBCT 指数衡量的邻里肥胖程度越高,BMI 越高,超重/肥胖、肥胖和高血压的患病率越高。这些发现强调了将肥胖环境作为心血管健康潜在决定因素的重要性。