Path analysis of health behavior improvement in chronic disease patients based on family function theory
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摘要:
目的 了解家庭亲密度与适应性以及家庭健康提示对慢性病(以下简称慢病)患者健康行为改善的路径及其效应大小,为家庭慢病健康管理工作提供科学依据。 方法 从全国抽样调查数据库抽取1 134名慢病患者问卷信息进行分析:家庭亲密度、家庭适应性、家庭提示与健康行为改善情况的组间比较采用t检验;变量间相关性分析采用Pearson分析;通径分析的参数估计方法为极大似然估计法。 结果 在1 134名慢病患者中,男性占41.4%,女性占58.6%;平均年龄为(53.6±10.0)岁。慢病患者健康行为改善得分为(1.89±1.20)分。通径分析结果显示:家庭亲密度对慢病患者健康行为改善表现为间接正向作用,效应值为0.072;家庭适应性既有直接正向作用,也通过家庭健康提示起到间接正向作用,总效应为0.156;家庭健康提示表现为直接正向作用,效应值为0.357。 结论 良好的家庭亲密度与适应性可通过促进家庭健康提示来改善慢病患者健康行为。这提示在开展以家庭为中心的慢病患者健康管理服务中,强调家庭成员参与的同时也要注重家庭功能的改善。 Abstract:Objective To explore the path and effect of family cohesion, family adaptability and health remind on health behavior improvement of chronic disease patients, so as to provide evidences for the family-centered chronic disease management. Methods Data of all 1 134 patients with chronic diseases was selected from the national sample survey database. t-test was used to compare family cohesion, family adaptability, health remind and health behavior improvement between different groups, and Pearson correlation was used to analyze the correlation between variables. In the process of path analysis, parameters were estimated by maximum likelihood. Results Among the 1 134 chronic diseases patients, male accounted for 41.4%, and female accounted for 58.6%. The average age of participants was (53.6±10.0) years old. The score of health behavior improvement was (1.89±1.20). Path analysis showed that family cohesion had indirect effects on behavior improvement (effect size=0.072); family adaptability had both direct and indirect effects on behavior improvement (effect size=0.156); Health remind had direct effect on behavior improvement (effect size=0.357). Conclusions The high-level family cohesion and adaptability can improve patients' health behavior by improving the health remind. It is suggested that family-centered health management services for chronic disease patients should emphasize the participation of family members as well as the improvement of family function. -
表 1 调查对象基本情况、家庭各因素得分与健康行为改善情况(x±s)
Table 1. Demographic characteristics, family-level variables and healthy behavior changes of participants(x±s)
N(%) 家庭亲密度 家庭适应性 家庭提示 健康行为改善 性别 男 469(41.4) 73.61±8.53 53.19±7.38 10.29±3.05 1.71±1.21 女 665(58.6) 74.47±8.73 53.34±7.63 10.64±2.96 2.02±1.18 P < 0.001 P=0.795 P=0.750 P=0.052 年龄(岁) 18~ 415(36.6) 73.22±8.72 52.19±7.53 10.05±2.97 1.78±1.21 51~ 407(35.9) 73.69±8.96 54.15±7.47 10.58±2.99 1.87±1.15 ≥61 312(27.5) 73.73±8.14 53.58±7.43 10.97±3.00 2.08±1.24 P=0.003 P=0.653 P=0.001 P < 0.001 受教育程度 小学及以下 275(24.3) 73.34±8.80 52.59±7.09 9.29±3.30 1.56±1.16 初中 405(35.7) 73.10±8.83 52.72±8.09 10.45±2.95 1.84±1.22 高中或中专 343(30.2) 73.87±8.34 54.07±7.30 11.20±2.74 2.08±1.14 大专及以上 111(9.8) 74.50±8.54 54.56±6.83 11.50±2.04 2.32±1.20 P < 0.001 P=0.376 P=0.009 P < 0.001 职业类型 企事业及技术类 196(17.3) 72.28±9.26 52.47±7.87 10.69±3.06 1.96±1.20 服务业 519(45.8) 73.95±8.04 53.17±7.29 9.83±3.14 1.70±1.18 生产及交通运输 104(9.2) 73.43±10.09 53.03±8.80 10.82±2.62 2.07±1.20 离退休及其他 315(27.8) 73.65±8.68 54.04±7.21 11.36±2.59 2.12±1.19 P < 0.001 P=0.145 P=0.127 P < 0.001 婚姻状况 已婚或同居 1048(92.4) 73.84±8.43 53.34±7.36 10.57±2.97 1.90±1.20 未婚、离婚或丧偶 86(7.6) 69.72±10.33 52.50±9.35 9.59±3.32 1.79±1.26 P=0.402 P < 0.001 P=0.320 P=0.004 家庭结构 核心家庭 738(65.1) 73.72±8.88 53.34±7.07 10.70±3.00 1.94±1.19 非核心家庭 396(34.9) 73.18±8.20 53.15±7.19 10.13±2.99 1.80±1.22 P=0.059 P=0.305 P=0.687 P=0.002 年人均可支配收入(元) <5 000 318(28.1) 72.99±8.75 52.20±8.17 9.29±3.31 1.53±1.20 5 000~ 250(22.0) 73.20±8.54 52.51±7.15 10.18±3.00 1.76±1.09 10 001~ 256(22.6) 73.61±0.55 53.95±7.21 10.94±2.68 2.07±1.18 >20 000 310(27.3) 74.28±8.53 54.45±7.20 11.62±2.39 2.23±1.19 P < 0.001 P=0.261 P < 0.001 P < 0.001 注:对家庭亲密度得分、家庭适应性得分、家庭提示得分以及慢病患者健康行为改善得分进行了相关性分析。四个变量间的两两相关系数在0.156~0.756之间(均有P<0.05)。 -
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