Manasatchakun Pornpun, Chotiga Pleumjit, Hochwälder Jacek, Roxberg Åsa, Sandborgh Maria, Asp Margareta
School of Health, Care and Social Welfare, Mälardalen University, Box 325, Drottninggatan 16A, 63105, Eskilstuna, Sweden.
Boromarajonani College of Nursing Udon Thani, Udon Thani, Thailand.
J Cross Cult Gerontol. 2016 Dec;31(4):369-384. doi: 10.1007/s10823-016-9296-y.
The aim of this study was to describe factors associated with perceived health and healthy aging among older people in northeastern Thailand. Thailand's aging population is growing and facing an increasing old-age dependency ratio. Northeastern Thailand, known as Isan, is a region in which the number of older residents is projected to grow rapidly. Older people in this region are likely to confront great threats to their health and well-being. These issues require appropriate attention and actions to promote healthy aging. However, healthy aging in this region has not been studied. A cross-sectional study was conducted on a sample of 453 older people, aged 60 years or older. Participants completed the Healthy Aging Instrument (HAI) and provided relevant demographic characteristics. Mann-Whitney U tests, Kruskal-Wallis tests and multiple regression models were used to analyze the data. Through comparative analyses, significant differences in HAI scores were observed for the following factors: marital status, residential area, disability, income level, and perceived meaningfulness in life. In the multiple regression models, residential area, disability, and marital status explained 24.30 % of the variance in HAI scores. Health promotion strategies and future targeted intervention programs should consider the importance of these factors.
本研究的目的是描述泰国东北部老年人中与感知健康和健康老龄化相关的因素。泰国的老年人口正在增长,且老年抚养比不断上升。泰国东北部,也就是伊桑地区,预计老年居民数量将迅速增长。该地区的老年人可能面临对其健康和福祉的巨大威胁。这些问题需要得到适当关注并采取行动以促进健康老龄化。然而,该地区的健康老龄化尚未得到研究。对453名60岁及以上的老年人进行了一项横断面研究。参与者完成了健康老龄化量表(HAI)并提供了相关人口统计学特征。使用曼-惠特尼U检验、克鲁斯卡尔-沃利斯检验和多元回归模型对数据进行分析。通过比较分析,观察到在以下因素方面HAI得分存在显著差异:婚姻状况、居住地区、残疾情况、收入水平以及生活中的感知意义。在多元回归模型中,居住地区、残疾情况和婚姻状况解释了HAI得分方差的24.30%。健康促进策略和未来的针对性干预项目应考虑这些因素的重要性。