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农村地区老年人虐待流行现状及危险因素分析
The Epidemiological Characteristics and Risk Factors of Elder Abuse in Rural Community, a Cross-sectional Study
【作者】 胡洋;
【导师】 王友洁;
【作者基本信息】 华中科技大学 , 儿少卫生与妇幼保健学, 2011, 硕士
【摘要】 目的:老年人虐待是严重影响老年人身体和心理健康的社会问题,但是目前国内相关研究较少。本研究通过对湖北省麻城市农村地区老年人群的流行病学调查,掌握麻城农村老年人虐待的发生情况,探讨相关危险因素,为预防与干预老年人虐待,改善老年人的生活状况提供依据。方法:采用横断面调查研究方法,选择多阶段整群抽样,随机抽取麻城市农村地区3个办事处的老年人群,以问卷方式调查他们在过去一年内虐待发生及相关因素。调查内容包括一般人口学特征、社会经济学特征、老年人虐待调查、老年人抑郁调查、社会支持调查等。调查资料用EpiData3.1软件录入,用SPSS16.0软件包进行统计分析。采用的统计方法包括描述性分析、χ2检验与非条件logistic回归分析等。结果:1.湖北省麻城市农村地区老年人虐待的发生率为36.20%,各种类型虐待发生率从高到低依次为情感虐待(27.30%)、疏于照顾(15.80%)、身体虐待(4.90%)和经济剥削(1.95%)。常见的施虐者为儿子、配偶及儿媳妇。老年男性的虐待发生率为36.58%,略高于女性(35.95%),性别间的差异不具有统计学意义。60~组老年人虐待发生率最低(31.52%),随年龄的增长虐待发生率呈上升趋势,各组间的总体差异有统计学。2.多因素Logistic回归研究结果显示,与老年人虐待发生有关的危险因素包括:经济来源完全依靠子女(OR=2.01,1.49~2.70)、离婚/丧偶/未婚(OR=2.00,1.52~2.63)、抑郁(OR=1.98,1.32~2.96)、文化程度为文盲(OR=1.82,1.25~2.66)、身体残疾(OR=1.80,1.29~2.51)及患有慢性病(OR=1.25,1.03~1.53)。3.不同类型老年人虐待的危险因素如下所示:身体虐待的危险因素包括经济来源完全依靠子女(OR=2.70,1.37~5.32)、抑郁(OR=2.24,1.15~4.36)、离婚/丧偶/未婚(OR=1.56,1.02~2.40);情感虐待的危险因素包括婚姻状况为离婚/丧偶/未婚(OR=2.27,1.68~3.05)、抑郁(OR=2.22,1.47~3.35)、经济来源完全依靠子女(OR=2.21,1.61~3.05)、独居(OR=1.96,1.06~3.64)、文盲(OR=1.93,1.24~3.00)或文化程度为小学(OR=1.67,1.09~2.58)、身体残疾(OR=1.90,1.34~2.70)及患慢性病(OR=1.37,1.10~1.71);疏于照顾的危险因素包括去年曾经住院(OR=1.86,1.17~2.94)、经济来源完全依靠子女(OR=1.74,1.18~2.58)、男性(OR=1.71,1.55~1.91)及离婚/丧偶/未婚(OR=1.46,1.12~1.90);经济剥削的危险因素包括抑郁(OR=3.13,1.27~7.72)、身体残疾(OR=2.73,1.17~6.38)及不从事劳动(OR=1.25,1.08~1.45)。结论:湖北省麻城市农村地区老年人虐待发生率较高,其中情感虐待的发生率最高;不同类型老年人虐待的危险因素各不相同。对老年人虐待的干预应该采取综合措施,改善老年人的生活状况,使他们安享晚年。
【Abstract】 Objective: To understand the prevalence and explore the possible risk factors of elder abuse, and to provide evidences for prevention and control of elder abuse.Methods: The subjects were selected by multistage cluster sampling method. People aged≥60 years in the study areas were interviewed by trained interviewer using a structured questionnaire. Database was set up using Epidata 3.1, and SPSS statistical software package was used for statistical analysis. Chi-square was used to analyze the categorical data. The multivariate logistic regression analysis was used to examine risk factors of elder abuse. The significance was established at P<0.05 with a two-side test.Results: The prevalence of elder abuse was 36.20% for rural elder people in Macheng city. The incidence rates of different type of elder abuse were 27.30% for emotional abuse, 15.80% for neglect, 4.90% for physical abuse and 1.95% for financial exploitation. The most common abusers were son, spouse and daughter in law of the elders. The prevalence of abuse for male (36.58%) was a little higher than that of female (35.95%), but the difference was not significantly. The prevalence of elder abuse was increased with the age (P<0.05).The risk factors for elder abuse were economic dependence on their children (OR=2.01, 1.49~2.70), divorced/widowed/single (OR=2.00, 1.52~2.63), depression (OR=1.98, 1.32~2.96), illiteracy (OR=1.82, 1.25~2.66), disability (OR=1.80, 1.29~2.51) and chronic disease (OR=1.25, 1.03~1.53).The risk factors for physical abuse were economic dependence on their children (OR=2.70, 1.37~5.32), depression (OR=2.24, 1.15~4.36) and divorced/single/widowed (OR=1.56, 1.02~2.40).The risk factors for emotional abuse were single/widowed (OR=2.27, 1.68~3.05), depression (OR=2.22, 1.47~3.35), economic dependence on their children (OR=2.21, 1.61~3.05), living alone (OR=1.96, 1.059~3.64), illiteracy (OR=1.93, 1.24~3.00) or primary educational level (OR=1.67, 1.09~2.58), disability (OR=1.90, 1.34~2.70) and chronic disease (OR=1.37, 1.10~1.71).The risk factors for neglect were hospitalization last year (OR=1.86, 1.17~2.94), living economic dependence on their children (OR=1.74, 1.18~2.58), male (OR=1.71, 1.55~1.91) and single/widowed (OR=1.46, 1.12~1.90).The risk factors for financial exploitation were depression (OR=3.13, 1.27~7.72), disability (OR=2.73, 1.17~6.38) and not working (OR=1.25, 1.08~1.45).Conclusions: Elder abuse was a severe public health problem in Macheng city. Our results suggested specific health educations and interventions for those elder people with different characteristics are necessary to reduce elder abuse.
【Key words】 elderly; elder abuse; risk factors; cross-sectional survey;