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自然连接并不能解释成年人和老年人身体活动和身体成分的变化。

Connectedness to Nature Does Not Explain the Variation in Physical Activity and Body Composition in Adults and Older People.

机构信息

University of Trás-os-Montes and Alto Douro, 5000-801 Vila Real, Portugal.

Centre for the Research and Technology of Agro-Environmental and Biological Sciences (CITAB), Department of Sports Science, Exercise and Health, University of Trás-os-Montes and Alto Douro, 5000-801 Vila Real, Portugal.

出版信息

Int J Environ Res Public Health. 2021 Nov 14;18(22):11951. doi: 10.3390/ijerph182211951.

DOI:10.3390/ijerph182211951
PMID:34831707
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8619523/
Abstract

Connectedness to nature (CN) is a significant predictor of pro-environmental behaviours, human health and well-being. However, research on how this connection to the natural world might promote a more active lifestyle and improve body mass composition according to gender is lacking. This study investigated the influence of CN on physical activity (PA) and body composition in adults and older people. We recruited a sample of 219 individuals (77 men and 142 women), and a self-administered questionnaire was used to measure CN and obtain demographic data. Body composition was assessed by bioimpedance, and PA was assessed by accelerometry. Correlations and stepwise multiple regressions were used in data analysis. CN's association with other variables was more pronounced in women than in men, and we only identified significant associations with steps/day and body composition. However, this variable would not be included in the regression models that we developed. Adiposity levels and muscle status were significant predictors of PA in women. In both genders, age, percentage of fat mass and fat-free mass were selected as regressors in the models developed for visceral fat area and muscle condition (R Adjusted ≥ 0.908).

摘要

与自然的联系(CN)是预测亲环境行为、人类健康和幸福感的重要因素。然而,关于这种与自然世界的联系如何促进更积极的生活方式和改善身体成分(按性别划分)的研究还很缺乏。本研究调查了 CN 对成年人和老年人身体活动(PA)和身体成分的影响。我们招募了 219 名个体(77 名男性和 142 名女性),并使用自我管理问卷来测量 CN 并获取人口统计学数据。身体成分通过生物阻抗法进行评估,身体活动通过加速度计进行评估。在数据分析中使用了相关性和逐步多元回归。CN 与其他变量的关联在女性中比男性更为明显,我们只发现了与每日步数和身体成分的显著关联。然而,该变量不会被纳入我们开发的回归模型中。女性的身体脂肪水平和肌肉状况是身体活动的重要预测因素。在两种性别中,年龄、体脂肪百分比和去脂体重均被选为开发用于内脏脂肪面积和肌肉状况的模型中的回归量(调整后的 R 值≥0.908)。

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