邻近地区肥胖性建筑环境特征 (OBCT) 指数:实践与理论对比
Thao Minh Lam1, Nicolette R den Braver1, Haykanush Ohanyan2
1Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Epidemiology and Data Science, De Boelelaan 1117, 1081HV, Amsterdam, the Netherlands; Amsterdam Public Health, Health Behaviours and Chronic Diseases, Amsterdam, the Netherlands; Upstream Team, Amsterdam UMC, VU University Amsterdam, De Boelelaan 1089a, 1081HV, Amsterdam, the Netherlands.
Environmental research
|March 11, 2024
概括
肥胖性建筑环境特征 (OBCT) 指数显示与体重指数 (BMI) 的联系很弱,即使经过复杂的改进. 建议重新评估指数组件,以获得更好的公共卫生洞察力.
科学领域:
- 环境健康 环境健康
- 公共卫生 公共卫生
- 流行病学 流行病学
背景情况:
- 肥胖是2型糖尿病和心血管疾病等慢性疾病的重要危险因素.
- 肥胖性建筑环境特征 (OBCT) 指数是为了描述肥胖性建筑环境,包括食物和体力活动 (PA) 方面而开发的.
研究的目的:
- 通过使用全国健康数据,评估OBCT指数和身体质量指数 (BMI) 之间的关联.
- 通过无监督和监督方法探索增强OBCT指数的方法.
主要方法:
- 该OBCT指数应用于12,821个荷兰社区,与2016年公共卫生监测的参与者地址相关联.
- 统计分析涉及训练组 (n=255,187) 和测试组 (n=127,428),使用回归线和检查人口统计学效应修改.
- 指数的改进包括调整食品环境数据,增加住房价格和应用监督加权策略 (变量选择,随机森林).
主要成果:
- 在OBCT指数和BMI之间发现了显著的非线性关联,根据年龄,性别,社会经济地位 (SES) 和城市化程度进行修改.
- OBCT指数解释了BMI差异的0.05%以下.
- 监督方法略有改善了BMI差异解释,但最高解释的差异仍然低于0.5%.
结论:
- 尽管OBCT指数在识别肥胖环境中的差异方面具有潜力,但其与BMI的关联性有限.
- 复杂指数增强并没有在解释BMI变异方面取得实质性的改进.
- 为未来的开发和应用,建议重新运行索引组件.
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