邻里环境与握力:健康与退休研究的纵向发现。

Kate A Duchowny, L Grisell Diaz-Ramirez, W John Boscardin, Rohini Perera, Scarlett Lin-Gomez, Peggy M Cawthon, Grace A Noppert, Philippa J Clarke
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引用次数: 0

摘要

背景:以手握强度(HGS)衡量的肌肉力量与身体功能和死亡率有关。然而,人们对影响肌肉力量的环境背景知之甚少。我们评估了建筑和社会邻里特征及其与肌肉力量的长期关联:利用健康与退休研究(2006-2018 年)的数据,通过线性混合模型评估了 11 个建筑和社会邻里变量与 HGS 基线水平和随时间变化的关系:在多达 4 项 HGS 测量的 20,045 名受访者(平均年龄 = 63 岁,SD = 9.7)中,男性为 8,455 人,女性为 11,590 人。在男性中,居住在邻里劣势得分每增加 10%,基线时的 HGS 就会降低约 1 千克(B = -0.96 千克,95% CI = -1.39, -0.53)。同样,身体失调量表每增加 1 分,基线 HGS 值就会降低-0.39 千克(95% CI = -0.65,-0.12)。在女性中,邻里劣势每增加 10%,基线 HGS 值就会降低 0.29 千克(每增加 10%,B = -0.29 千克,95% CI = -0.46,-0.13)。基线时社区健身房数量每增加 1 个单位,HGS 就会降低 0.50 千克(B = -0.50,95% CI = -0.76,-0.23)。身体失调每增加 1 个点,基线 HGS 值就会降低-0.12 千克(95% CI = -0.24,-0.00)。没有一个社区特征与 HGS 变化率相关:研究结果表明,居住在较为贫困和身体机能失调的社区可能会对进入老年期的中年人的 HGS 带来挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Neighborhood Environment and Handgrip Strength: Longitudinal Findings From the Health and Retirement Study.

Background: Muscle strength, as measured by handgrip strength (HGS), is associated with physical function and mortality. Yet the environmental context that influences muscle strength is poorly understood. We evaluated built and social neighborhood characteristics and their association with muscle strength over time.

Methods: Using data from the Health and Retirement Study (2006-2018), linear mixed models assessed how 11 built and social neighborhood variables were associated with baseline levels and changes in HGS over time.

Results: Among the 20 045 respondents (mean age = 63 years, standard deviation = 9.7) with up to 4 HGS measures, 8 455 were men and 11 590 were women. Among men, residing in a neighborhood with a 10% increment higher score on neighborhood disadvantage was associated with a ~1 kg lower HGS at baseline (B = -0.96 kg, 95% confidence interval [CI] = -1.39 to -0.53). Similarly, each 1-point increment on the physical disorder scale was associated with a -0.39 kg lower (95% CI = -0.65 to -0.12) baseline HGS value. Among women, each 10% increment in neighborhood disadvantage was associated with a 0.29 kg lower HGS at baseline (B = -0.29 kg for each 10% increment, 95% CI = -0.46, -0.13). Each 1-unit increment in the number of neighborhood gyms at baseline was associated with a 0.50 kg lower HGS (B = -0.50, 95% CI = -0.76 to -0.23). Each 1-point increment in physical disorder was associated with a -0.12 kg lower (95% CI = -0.24 to -0.00) baseline HGS value. None of the neighborhood features were associated with the HGS rate of change.

Conclusions: Findings suggest that residing in neighborhoods with greater disadvantages and physical disorders may pose challenges for HGS among middle-aged adults as they enter into older adulthood.

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