An N-Shaped Association between Population Density and Abdominal Obesity.
An N-Shaped Association between Population Density and Abdominal Obesity.
复制标题
人口密度和腹型肥胖之间的N型关联。
DOI：
10.3390/ijerph19159577
复制
发表时间：
2022-08-04
影响因子：
--
通讯作者：
Yin, Chun
中科院分区：
文献类型：
--
作者：
Sun, Bindong;Yao, Xiajie;Yin, Chun
腹部肥胖对公共健康和健康城市构成威胁。致密化可能会减少腹部肥胖，但目前人口密度与腹部肥胖之间关系的证据尚不明确。本研究的目的是理清人口密度与腹部肥胖之间的非线性关联。数据来自2004-2015年中国健康与营养调查，调查对象为36,422名年龄在18岁至65岁之间的成年人。在控制其他建筑环境属性、社会经济特征以及区域和年份固定效应后，应用广义相加模型（GAM）来探索人口密度与客观测量的腰围（WC）和腰高比（WHtR）之间的关系。我们发现人口密度与WC和WHtR均呈N型关联，两个转折点分别为12,000人和50,000人/km2。特别是人口密度低于12000人/平方公里时与腹型肥胖呈正相关。当人口密度在 12,000 至 50,000 人/平方公里之间时，与腹部肥胖呈负相关。当人口密度大于5万人/平方公里时，也与腹部肥胖呈正相关。因此，致密化并不总是有助于减少腹部肥胖。政策制定者在采取致密化战略之前需要更多地关注当地的密度环境。
Abdominal obesity is a threat to public health and healthy cities. Densification may reduce abdominal obesity, but current evidence of the relationship between population density and abdominal obesity is not conclusive. The aim of this study was to disentangle the nonlinear association between population density and abdominal obesity. Data came from the 2004–2015 China Health and Nutrition Survey, which included 36,422 adults aged between 18 and 65 years. Generalized additive models (GAMs) were applied to explore how population density was associated with objectively measured waist circumference (WC) and waist-to-height ratio (WHtR), after controlling for other built environmental attributes, socioeconomic characteristics, and regional and year fixed effects. We found that population density had N-shaped associations with both WC and WHtR, and the two turning points were 12,000 and 50,000 people/km2. In particular, population density was positively correlated with abdominal obesity when it was below 12,000 people/km2. Population density was negatively associated with abdominal obesity when it was between 12,000 and 50,000 people/km2. Population density was also positively related to abdominal obesity when it was greater than 50,000 people/km2. Therefore, densification is not always useful to reduce abdominal obesity. Policy-makers need to pay more attention to local density contexts before adopting densification strategies.
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影响因子：
6.1
作者：
Ao, Yibin;Yang, Dujuan;Wang, Yan
通讯作者：
Wang, Yan
影响因子：
2.8
作者：
Paulitsch RG;Dumith SC
通讯作者：
Dumith SC
影响因子：
5.5
作者：
Papas, Mia A.;Alberg, Anthony J.;Klassen, Ann C.
通讯作者：
Klassen, Ann C.
影响因子：
6.9
作者：
Lopez, Russ P.
通讯作者：
Lopez, Russ P.
DOI：
10.4278/ajhp.071214133
发表时间：
2009-01
期刊：
American journal of health promotion : AJHP
影响因子：
--
作者：
Li F;Harmer P;Cardinal BJ;Bosworth M;Johnson-Shelton D
通讯作者：
Johnson-Shelton D