Abstract
Nearly every nation is experiencing rapid population aging. One area of major concern is health; a major health risk for older adults is falling, and there are multiple negative consequences of falling. This is a global concern yet is underresearched in many nations. This study examines demographic, health, and environmental correlates of falling among community-dwelling Thai elderly. Data were collected from a sample of 406 adults aged 60–69. Significant (p < 0.05) fall correlates were urban residence, older age, greater BMI, impaired and uncorrected vision, chronic health conditions, medication use and medication side effects, poor muscle tone, and hazardous indoor and outdoor home environments. Results lead to recommendations for interventions to reduce fall risk that are both evidence-based and culturally acceptable.
Highlights
In the twenty-first century, most nations are experiencing rapid growth of their older populations, both in number and as a percent of the population. is growth is largely attributable to decreasing mortality due to advances in medicine and health promotion, and to fertility declines. e portion of the world’s population aged 60+, 12% in 2015, is projected to rise to 22%, to 2.1 billion, by 2050
E older adult growth rate is not uniform across nations: less-developed nations will experience more rapid growth. While those aged 60+ in developed countries grew by 29% from 2000 to 2015, less-developed countries can expect a 60–71% increase by 2030
Many Asian nations are in this latter category
Summary
E older adult growth rate is not uniform across nations: less-developed nations will experience more rapid growth. While those aged 60+ in developed countries grew by 29% from 2000 to 2015, less-developed countries can expect a 60–71% increase by 2030. By 2030, 60% of Asians will be 60+ and Asia will be home to more than half of the world’s oldest-old persons (aged 80+) [1]. In this context, ailand is typical of Asian nations. Ailand is typical of Asian nations. e World Health Organization [2] estimates that those aged 60+ will comprise 29.6% of the ai population in 2050
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