Proximity to freshwater blue space and type 2 diabetes onset: the importance of historical and economic context.
Proximity to freshwater blue space and type 2 diabetes onset: the importance of historical and economic context.
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DOI：
10.1016/j.landurbplan.2021.104060
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发表时间：
2021-05
影响因子：
9.1
通讯作者：
Hirsch AG
中科院分区：
文献类型：
--
作者：
Poulsen MN;Schwartz BS;Dewalle J;Nordberg C;Pollak JS;Silva J;Mercado CI;Rolka DB;Siegel KR;Hirsch AG
在水生区域（蓝色空间）附近生活的有益健康的影响仍未得到充分探讨，特别是在非沿海和非城市地区。我们评估了美国宾夕法尼亚州中部和东北部邻近内陆淡水蓝色空间的住宅与新发2型糖尿病（T2 D）的关系，使用医疗记录进行巢式病例对照研究。T2 D病例（n= 15，888）根据糖尿病诊断、药物医嘱和实验室检查结果确定，并在年龄、性别和就诊年份与无糖尿病对照组（n= 79，435）进行频率匹配。我们计算了从个人住宅到最近的湖泊、河流、支流或大溪流的距离，以及100年一遇的洪泛区内的住宅。Logistic回归模型调整了社区社会经济贫困和其他混杂变量，并按社区类型（乡镇[农村/郊区]，自治市[小城镇]，城市人口普查区）分层。与居住在距离蓝色空间≥1.25英里的人相比，在乡镇和自治市镇，距离0.25英里的人患T2 D的几率分别高出8%和17%。在城市居民中，居住在距离蓝色空间0.25至<0.75英里的人的T2 D几率高出38-39%。居住在洪泛区与乡镇和自治市镇的T2 D几率分别高出16%和14%相关。事后分析表明，住宅物业价值较低的模式，距离该地区的主要水体较近，这表明社会经济不利因素的不可测量的混杂。这可能解释了我们意外发现更接近蓝色空间的T2 D几率更高。我们的研究结果强调了历史和经济背景以及相关因素的重要性，如洪水风险和缺乏蓝色空间研究中的滨水开发。
Salutogenic effects of living near aquatic areas (blue space) remain underexplored, particularly in non-coastal and non-urban areas. We evaluated associations of residential proximity to inland freshwater blue space with new onset type 2 diabetes (T2D) in central and northeast Pennsylvania, USA, using medical records to conduct a nested case-control study. T2D cases (n=15,888) were identified from diabetes diagnoses, medication orders, and laboratory test results and frequency-matched on age, sex, and encounter year to diabetes-free controls (n=79,435). We calculated distance from individual residences to the nearest lake, river, tributary, or large stream, and residence within the 100-year floodplain. Logistic regression models adjusted for community socioeconomic deprivation and other confounding variables and stratified by community type (townships [rural/suburban], boroughs [small towns], city census tracts). Compared to individuals living ≥1.25 miles from blue space, those within 0.25 miles had 8% and 17% higher odds of T2D onset in townships and boroughs, respectively. Among city residents, T2D odds were 38-39% higher for those living 0.25 to <0.75 miles from blue space. Residing within the floodplain was associated with 16% and 14% higher T2D odds in townships and boroughs. A post-hoc analysis demonstrated patterns of lower residential property values with nearer distance to the region’s predominant waterbody, suggesting unmeasured confounding by socioeconomic disadvantage. This may explain our unexpected findings of higher T2D odds with closer proximity to blue space. Our findings highlight the importance of historic and economic context and interrelated factors such as flood risk and lack of waterfront development in blue space research.
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影响因子：
9.1
作者：
Elliott, Lewis R.;White, Mathew P.;Fleming, Lora E.
通讯作者：
Fleming, Lora E.
DOI：
10.3390/ijerph18020614
发表时间：
2021-01-13
影响因子：
--
作者：
Poulsen MN;Schwartz BS;Nordberg C;DeWalle J;Pollak J;Imperatore G;Mercado CI;Siegel KR;Hirsch AG
通讯作者：
Hirsch AG
影响因子：
5.5
作者：
Schwartz, Brian S.;Stewart, Walter F.;Glass, Thomas A.
通讯作者：
Glass, Thomas A.
影响因子：
9.3
作者：
den Braver NR;Lakerveld J;Rutters F;Schoonmade LJ;Brug J;Beulens JWJ
通讯作者：
Beulens JWJ
影响因子：
2.9
作者：
Schwartz BS;Pollak J;Poulsen MN;Bandeen-Roche K;Moon K;DeWalle J;Siegel K;Mercado C;Imperatore G;Hirsch AG
通讯作者：
Hirsch AG