体力活动和久坐行为对健康相关生活质量的影响:来自工作体力活动(PAW)试验的横断面研究

Katika Akksilp, Falk Müller-Riemenschneider, Yot Teerawattananon, Cynthia Chen
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引用次数: 0

摘要

缺乏身体活动和久坐行为会增加发病率,并对生活质量产生负面影响。本研究评估了身体活动和久坐行为与健康相关生活质量之间的关系,包括生活质量的五个维度(活动能力、自我保健、日常活动、疼痛或不适、焦虑或抑郁)。方法:本横断面研究分析了泰国工作时体力活动(PAW)试验的基线数据。使用ActiGraph™加速度计收集身体活动数据,在右臀部佩戴至少三个10小时工作日。然后使用加速度计数据将参与者分为:(i)不久坐且身体活跃(参考组),(ii)不久坐但不活跃,(iii)久坐但活跃,(iv)久坐且不活跃。我们采用EuroQol-5维度问卷,分为5个评分水平(EQ-5D-5L)来测量与健康相关的生活质量。泰国EQ-5D- 5d评估被用于将EQ-5D概况转换为效用指数得分(EQ-5D值)。采用Tobit回归模型分析EQ-5D值差异。此外,还比较了不同类别之间在每个EQ-5D维度上出现问题的几率。结果共纳入有效参与者资料277份。年龄较大(P = 0.007),学历较高(P <0.001),与其他组相比,久坐和不运动的参与者心血管疾病患病率更高(P = 0.032)。我们发现,与参考组相比,久坐和不运动组的EQ-5D值降低了- 0.0503 (95% CI: - 0.0946 - - 0.00597),报告疼痛或不适问题的几率增加了1.39 (95% CI: 1.07-1.79)。我们还发现,与参考组相比,不久坐但不运动的组报告日常活动问题的几率高出2.12 (95%CI: 1.14-5.40)。我们发现了进一步的证据,证明在泰国健康的上班族中,较高的身体活动水平和较短的久坐时间对提高生活质量有潜在的好处。需要进行更大的队列和纵向数据的进一步研究,为针对促进身体活动以改善生活质量的干预措施和经济评估奠定更坚实的基础。
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The association of physical activity and sedentary behaviour on health-related quality of life: a cross-sectional study from the physical activity at work (PAW) trial
Abstract Introduction Physical inactivity and sedentary behaviour independently increase morbidity and negatively affect quality of life. This study evaluates the associations between physical activity and sedentary behaviour with health-related quality of life, including the five dimensions of quality of life (mobility, self-care, usual activities, pain or discomfort, and anxiety or depression). Methods This cross-sectional study analysed baseline data from Thailand's Physical Activity at Work (PAW) trial. Physical activity data were collected using the ActiGraph™ accelerometer, worn on the right hip for a minimum of three ten-hour workdays. Accelerometer data were then used to categorise participants into: (i) not-sedentary and physically active (the Reference Group), (ii) not-sedentary but inactive, (iii) sedentary but active, and (iv) sedentary and inactive. We employed the EuroQol-5 dimensions questionnaire with five scoring levels (EQ-5D-5L) to measure health-related quality of life. The Thai EQ-5D-5D valuation was utilised to convert the EQ-5D profile into utility index scores (EQ-5D values). Tobit regression models were used to analyse EQ-5D value differences. Moreover, the odds of having problems in each EQ-5D dimension were compared between categories. Results 277 valid participant data were included. Older age (P = 0.007), higher education (P < 0.001), and higher prevalence of cardiovascular disease (P = 0.032) were observed in participants who were sedentary and physically inactive compared to other groups. We found − 0.0503 (95% CI: − 0.0946–− 0.00597) lower EQ-5D value and 1.39 (95% CI: 1.07–1.79) higher odds of reporting pain or discomfort problems in the sedentary and physically inactive group compared to the Reference Group. We also found 2.12 (95%CI: 1.14–5.40) higher odds of reporting usual activity problems in the not-sedentary but physically inactive group than in the Reference Group. Discussion We found further evidence of the potential benefit of higher physical activity levels and lower sedentary time for higher quality of life among healthy office workers in Thailand. Further research with larger cohorts and longitudinal data is needed to establish a stronger foundation for interventions and economic evaluations targeting physical activity promotion to improve quality of life.
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