Koh Eun Sil, Jang Soong-Nang, Paik Nam-Jong, Kim Ki Woong, Lim Jae-Young
Department of Rehabilitation Medicine, National Medical Center, 245, Eulji-ro, Jung-gu, 100-799 Seoul, Republic of Korea; Department of Biomedical Engineering, Seoul National University College of Medicine, Seoul, Republic of Korea.
Red Cross College of Nursing, Chung-Ang University, 221, Heukseok-Dong, Dongjak-Gu, 156-756 Seoul, Republic of Korea.
Arch Gerontol Geriatr. 2014 Sep-Oct;59(2):338-45. doi: 10.1016/j.archger.2014.05.002. Epub 2014 May 17.
To investigate age and gender patterns in associations between lifestyle factors and physical performance in community-dwelling older Korean adults.
A cross-sectional study was conducted in a population-based sample of an urban area. Randomly sampled older Korean adults (n=664; mean age, 74.6 years) participated. Data on current physical activity level and doing exercise, social participation and hobbies, smoking status, drinking status, sleep quality, and physical performance were obtained. Binary logistic regression analyses were used to identify the age and gender patterns in associations between various lifestyle factors and physical performance.
In younger (age <85 years) men, significant predictors of poor physical performance by logistic regression analysis after adjusting for covariates were current physical activity time, doing exercise, and engagement in social activities. In younger women, current physical activity time and sleep quality were related to poor physical performance. In older (age ≥ 85 years) men, family gatherings were a significant factor. In older women, no lifestyle factor assessed showed a significant relationship with poor physical performance.
Interventions implemented to modify lifestyle factors need to focus on age and gender subgroups in the elderly population. Lifestyle modification should be emphasised as a targeted treatment program for Korean adults aged <85 years.
调查韩国社区居住的老年成年人生活方式因素与身体机能之间关联的年龄和性别模式。
在一个城市地区的基于人群的样本中进行了一项横断面研究。随机抽取的韩国老年成年人（n = 664；平均年龄74.6岁）参与其中。获取了关于当前身体活动水平和锻炼情况、社会参与和爱好、吸烟状况、饮酒状况、睡眠质量以及身体机能的数据。采用二元逻辑回归分析来确定各种生活方式因素与身体机能之间关联的年龄和性别模式。
在较年轻（年龄<85岁）的男性中，在调整协变量后通过逻辑回归分析得出身体机能较差的显著预测因素是当前身体活动时间、锻炼情况以及参与社会活动。在较年轻的女性中，当前身体活动时间和睡眠质量与身体机能较差有关。在较年长（年龄≥85岁）的男性中，家庭聚会是一个显著因素。在较年长的女性中所评估的生活方式因素均未显示出与身体机能较差有显著关系。
为改变生活方式因素而实施的干预措施需要关注老年人群中的年龄和性别亚组。对于年龄<85岁的韩国成年人，应强调将生活方式改变作为一种针对性的治疗方案。
