Meta-analysis of quality-of-life outcomes from physical activity interventions.
Meta-analysis of quality-of-life outcomes from physical activity interventions.
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DOI：
10.1097/nnr.0b013e318199b53a
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发表时间：
2009-05
期刊：
影响因子：
2.5
通讯作者：
Brown LM
中科院分区：
文献类型：
--
作者：
Conn VS;Hafdahl AR;Brown LM
Interventions to increase physical activity among chronically ill adults are intended to improve quality of life as well as reduce disease complications or slow disease progression. This meta-analytic review integrates quality-of-life outcomes from primary research studies testing interventions to increase physical activity among adults with chronic illness. Extensive literature searching strategies were employed to locate published and unpublished primary research testing physical activity interventions. Results were coded for studies that had at least 5 participants with chronic illness. Fixed- and random-effects meta-analytic procedures included moderator analyses. Eighty-five samples from 66 reports with 7,291 subjects were synthesized. The mean quality-of-life effect size for two-group comparisons (treatment vs. control) was 0.11 (higher mean quality-of-life scores for treatment subjects than for control subjects). The treatment group pre-post comparison effect size was 0.27 for quality of life. Heterogeneity was modest in two-group comparisons. Most design and sample attributes were unrelated to intervention effects on quality of life. Studies that exclusively used supervised center-based exercise reported larger quality-of-life improvements than studies that included any educational-motivational content. Effect sizes were larger among unpublished and unfunded studies. The effect size for physical activity did not predict the quality-of-life effect size. Subjects experience improved quality of life from exposure to interventions designed to increase physical activity, despite considerable heterogeneity in the magnitude of the effect. Future primary research should include quality-of-life outcomes so that patterns of relationships among variables can be further explored.
