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Sex differences in the physical inactivity and health-related quality of life relationship among rural adults

机译:农村成年人缺乏运动和健康相关生活质量关系的性别差异

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Background: The purpose of this study was to investigate the relationship between physical inactivity (PIA) and health-related quality of life (HRQOL) in rural adults and examine the extent to which sex differences exist in this relationship. Methods: A total of 5617 adults 18 years of age and older who indicated residing in a rural county was included in this analysis. PIA status was assessed by questions regarding recreational physical activity during the previous month. Five HRQOL measures (physical health, mental health, inactivity health, general health, & unhealthy days) were used as primary outcome variables. PIA and HRQOL prevalence estimates were computed with 95% CIs. Multiple logistic regression was used to obtain odds ratios (ORs) and 95% CIs adjusted for age, ethnicity, and income. Results: Physically inactive rural adults were significantly more likely to report poor HRQOL in all overall crude models with ORs ranging from 1.59 to 2.16. Additionally, sex-by-PIA interactions were significant across all crude HRQOL models with ORs ranging from 2.27 to 3.08 and 1.56 to 2.42 for women and men, respectively. Sex differences were maintained in fully adjusted models, except for mental health and inactivity health with ORs ranging from 1.80 to 2.58 and 1.41 to 1.79 for women and men, respectively. Conclusion: Results from this study show that PIA is a strong predictor of poor HRQOL even after controlling for confounding variables. Furthermore, physically inactive rural women appear more likely to report poor levels of HRQOL than physically inactive rural men.
机译:背景:本研究的目的是调查农村成年人的体育锻炼(PIA)与健康相关的生活质量(HRQOL)之间的关系,并研究这种关系中存在性别差异的程度。方法:本研究共纳入5617名18岁以上的成年人,他们表示他们住在农村县。通过有关上个月休闲体育活动的问题评估了PIA的状态。五个HRQOL指标(身体健康,心理健康,不活跃健康,总体健康和不健康的日子)用作主要结局变量。 PIA和HRQOL患病率估算值使用95%CI进行计算。使用多元逻辑回归获得经过年龄,种族和收入调整的优势比(OR)和95%CI。结果:在所有总体原油模型中,没有体育锻炼的农村成年人报告的HRQOL较差,OR范围为1.59至2.16。此外,在所有粗略的HRQOL模型中,PIA性别间的相互作用均很显着,男女的OR分别为2.27至3.08和1.56至2.42。在完全调整的模型中保持了性别差异,除了精神健康和不活动健康外,男女的OR分别为1.80至2.58和1.41至1.79。结论:这项研究的结果表明,即使在控制了混杂变量之后,PIA仍能很好地预测HRQOL不良。此外,与没有体育活动的农村男性相比,没有体育活动的农村妇女似乎更有可能报告较差的HRQOL。

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