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頁籤選單縮合
題 名 | Association between Social Support and Health Outcomes: A Meta-Analysis=利用統合分析法檢視社會支持與健康結果的相關性 |
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作 者 | 王秀紅; 吳淑如; 劉雅瑛; | 書刊名 | The Kaohsiung Journal of Medical Sciences |
卷 期 | 19:7 2003.07[民92.07] |
頁 次 | 頁345-351 |
分類號 | 410.15 |
關鍵詞 | 統合分析; 社會支持; 健康; 成效值; Social support; Health; Meta-analysis; Effect size; |
語 文 | 英文(English) |
中文摘要 | 本研究的目的在探討社會支持與健康結果變項的相關性以及社會支持影響健康結果的成效值。以統合分析法配合 DSTAT 電腦軟體整合原始研究結果,原始研究初步由電腦搜尋,再依據選樣標準篩選後,共有 165 篇碩博士論文以及 43 篇期刊論文合乎選樣標準。經由統計過程將各個結果變項中的極端因子去除以達同質性,最後保留的原始研究共 182 篇,包括 145 篇碩博士論文以及 37 篇期刊論文。根據 Smith 4 種健康模式的定義,共歸納出 16 種健康結果變項。其中健康狀況、生理症狀與反應、心理症狀與反應以及憂鬱歸類為臨床模式;角色功能與行為以及角色負荷歸類為角色功能模式;生理調適、心理社會調適、生活調適、適應行為以及壓力歸類為適應模式;健康信念、健康促進行為、生活品質、安適以及自我實現歸類為幸福模式。16 種健康結果變項中,除了生理調適外,社會支持可顯著地預測 15 個健康結果變項(p < 0.0001)。研究結果提供了社會支持影響每個健康結果變項的成效值,以作為未來研究為達統計學上顯著意義時,樣本大小估計的參考。同時研究結果可作為未來的研究指引,以設計合適的社會支持之介入性策略,並評值社會支持介入後對健康的影響情形。 |
英文摘要 | The purpose of this study was to examine the relationship between social support and health outcome variables, and the effect size of social support on health outcomes. Meta-analysis was used to synthesize the primary studies identified initially from a computer search of the literature in Taiwan. Through preliminary screening related to the inclusion criteria, 165 dissertations and theses and 43 journal articles were included in this study. Finally, 182 primary studies, including 145 dissertations and theses and 37 journal articles, were retained after eliminating outliers of each outcome variable to achieve homogeneity. Based on Smith’s four modes of health, 16 health outcome variables were used. Health status, physical symptoms and responses, psychologic symptoms and responses, and depression were categorized as clinical variables. Role function and behaviors and role burden were categorized as role-function variables. Physical adjustment, psychosocial adjustment, adjustment of life, coping behavior, and stress were categorized as adaptive variables. Health belief, health promotion behavior, quality of life, well-being, and self-actualization were categorized as eudemonistic variables. Other than physical adjustment, social support could significantly predict all health outcomes (p < 0.0001). The results provided information not only on the magnitude of the sample size required to achieve statistical significance between social support and each outcome variable as a measure of health in future studies, but also on strategies to guide further intervention programs and to evaluate their effectiveness. |
本系統中英文摘要資訊取自各篇刊載內容。