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台湾地区 3 次国家健康访谈调查的结果:社区居住老年人跌倒的流行率及危险因素。

Prevalence and risk factors of falls among community-dwelling older people: results from three consecutive waves of the national health interview survey in Taiwan.

机构信息

Health Promotion Administration, Ministry of Health and Welfare, Taipei, Taiwan.

Department of Geriatrics and Gerontology, College of Medicine, National Cheng-Kung University and Hospital, Tainan, Taiwan.

出版信息

BMC Geriatr. 2020 Dec 9;20(1):529. doi: 10.1186/s12877-020-01922-z.

DOI:10.1186/s12877-020-01922-z
PMID:33297968
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7724833/
Abstract

BACKGROUND

An aging society incurs great losses due to fall-related injuries and mortalities. The foreseeable increased burden of fall-related injury among older people requires a regular nationwide study on the fall epidemic and prevention strategies.

METHODS

The fall epidemic was examined using data from three consecutive waves of the National Health Interview Survey (2005, 2009, and 2013). Common explanatory variables across these surveys included sociodemographic factors (age, sex, and difficulty in performing activities of daily living (ADL) or instrumental ADL), biological factors (vision, comorbidities, urinary incontinence, and depressive symptoms), and behavioral risk factors (sleeping pill use, and frequency of exercise). After the univariate and bivariate analyses, the prevalence of falls was investigated using multiple linear regression models adjusted for age group, sex, and year of survey. A multivariate logistic regression model for falls with adjustments for these common explanatory variables was established across three waves of surveys. The effect of fall prevention programs was examined with the effect size in terms of age-specific and sex-specific prevalence of falls and fall-related hospitalization rates during 2005 and 2009.

RESULTS

For each survey, there were consecutively 2722; 2900; and 3200 respondents with a mean age of 75.1, 75.6, and 76.4 years, respectively. The multiple linear regression model yielded a negative association between the prevalence of falls and year of survey. Several sociodemographic and biological factors, including female sex, difficulty in performing one basic ADL, difficulty in performing two or more instrumental ADLs, unclear vision, comorbidities, urinary incontinence, and depressive symptoms, were significantly associated with falls. In contrast to the universal positive effect on the prevalence of falls among older adults, the effect size of fall-related hospitalization rates revealed a 2% relative risk reduction only for those aged 65-74 years, but deteriorated for those aged 75-84 (- 10.9%).

CONCLUSION

Although the decline in fall prevalence over time supports existing fall intervention strategies in Taiwan, the differential prevention effect and identification of risk factors in older people suggest the necessity of adjusting fall prevention programs.

摘要

背景

老龄化社会因跌倒相关伤害和死亡而遭受巨大损失。预计老年人跌倒相关伤害的负担增加,需要对全国范围内的跌倒流行情况和预防策略进行定期研究。

方法

利用连续三波全国健康访谈调查(2005 年、2009 年和 2013 年)的数据,研究了跌倒流行情况。这些调查中共同的解释变量包括社会人口统计学因素(年龄、性别和日常生活活动或工具性日常生活活动的困难程度)、生物学因素(视力、合并症、尿失禁和抑郁症状)以及行为风险因素(使用安眠药和运动频率)。在进行单变量和双变量分析后,使用多变量线性回归模型调整年龄组、性别和调查年份,调查跌倒的发生率。建立了一个跨越三波调查的跌倒多变量逻辑回归模型,调整了这些常见的解释变量。使用 2005 年和 2009 年特定年龄和性别的跌倒发生率和跌倒相关住院率的效应大小,检查了跌倒预防计划的效果。

结果

每个调查连续有 2722、2900 和 3200 名年龄分别为 75.1、75.6 和 76.4 岁的受访者。多变量线性回归模型显示,跌倒发生率与调查年份呈负相关。一些社会人口统计学和生物学因素,包括女性、一项基本日常生活活动困难、两项或更多工具性日常生活活动困难、视力不清、合并症、尿失禁和抑郁症状,与跌倒显著相关。与普遍对老年人跌倒发生率的积极影响相反,跌倒相关住院率的效应大小仅显示 65-74 岁年龄组的相对风险降低了 2%,但 75-84 岁年龄组的风险增加了(-10.9%)。

结论

尽管随着时间的推移,跌倒发生率呈下降趋势,支持了台湾现有的跌倒干预策略,但预防效果的差异和老年人风险因素的确定表明,有必要调整跌倒预防计划。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd7c/7724833/4e8751e8a176/12877_2020_1922_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd7c/7724833/b69e51547c6d/12877_2020_1922_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd7c/7724833/4e8751e8a176/12877_2020_1922_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd7c/7724833/b69e51547c6d/12877_2020_1922_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd7c/7724833/4e8751e8a176/12877_2020_1922_Fig2_HTML.jpg

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