Socioeconomic differences in leisure-time physical activity:: the role of social participation and social capital in shaping health related behaviour

Socioeconomic differences in leisure-time physical activity:: the role of social participation and social capital in shaping health related behaviour
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DOI:
10.1016/s0277-9536(00)00153-2
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发表时间:
2001-02-01
影响因子:
5.4
通讯作者:
Östergren, PO
Östergren, PO
中科院分区:
医学2区
文献类型:
--
作者:
Lindström, M;Hanson, BS;Östergren, PO

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一些研究表明,社会经济差异在休闲时间的身体活动。一种解释可能是相关心理社会条件的社会经济差异。马尔莫饮食与癌症研究是一项前瞻性队列研究,包括瑞典马尔莫的居民。这项横断面研究中使用的基线问卷由1992-1994年出生于1926-1945年的11,837名参与者完成。休闲时间的体力活动是衡量一个项目,提出了各种活动。这些活动被汇总为休闲时间身体活动的汇总测量,其中考虑了每项特定活动的强度和持续时间。社会心理变量对闲暇时间体力活动的社会经济差异的影响进行了多变量logistic回归分析。休闲时间体育活动程度最低的四分位数在社会经济群体之间的分布并不均匀。社会经济差异被视为优势比1.5熟练和1.5非熟练的男性体力劳动者相比,高层次的非体力劳动者。女性非熟练体力劳动者的OR为1.6。自营职业的男性和女性养恤金领取者也有一个显着增加的风险低休闲时间的身体活动。调整年龄,原籍国和以前/目前的疾病没有影响这些SES的差异。最后,调整社会参与几乎完全消除了社会经济地位的差异。在社会心理变量中,社会参与是低体力活动的最强预测因子,也是低闲暇时间体力活动的社会经济差异的强预测因子。社会参与衡量个人在政党和组织等方面的社会活动。因此,闲暇时间体育活动的一些社会经济差异似乎是由于社会经济群体之间的社会资本不同。(C)2001爱思唯尔科技有限公司版权所有。
Several studies have shown socioeconomic differences in leisure-time physical activity. One explanation may be socioeconomic differences in relevant psychosocial conditions. The Malmo Diet and Cancer Study is a prospective cohort study including inhabitants in Malmo, Sweden. The baseline questionnaire used in this cross-sectional study was completed by the 11,837 participants born 1926-1945 in 1992-1994. Leisure-time physical activity was measured by an item presenting a variety of activities. These activities were aggregated into a summary measure of leisure-time physical activity that takes both the intensity and duration of each specific activity into consideration. The effects of the psychosocial variables on the socioeconomic differences in leisure-time physical activity were calculated in a multivariate logistic regression analysis. The quartile with the lowest degree of leisure-time physical activity was not evenly distributed between the socioeconomic groups. Socioeconomic differences were seen as odds ratios 1.5 for skilled and 1.5 for unskilled male manual workers, compared to the high level non-manual employees. An OR 1.6 was observed for female unskilled manual workers. Self-employed men and female pensioners also had a significantly increased risk of low leisure-time physical activity. Adjustment for age, country of origin and previous/current diseases had no effect on these SES differences. Finally, adjusting for social participation almost completely erased the SES differences. Among the psychosocial variables, social participation was the strongest predictor of low physical activity, and a strong predictor for socioeconomic differences in low leisure-time physical activity. Social participation measures the individual's social activities in, for example political parties and organisations. It therefore seems possible that some of the socioeconomic differences in leisure-time physical activity are due to differing social capital between socioeconomic groups. (C) 2001 Elsevier Science Ltd. All rights reserved.