Abstract
The article aims at exploring the influence of family structures on chronic diseases in the elderly and providing a reference for the policy formulation to improve the health of the elderly. Based on the data provided by the Chinese Longitudinal Healthy Longevity Survey (CLHLS), the family structures of the elderly were classified into five categories: A, B, C, D, and E. Then the Kruskal Wallis test was conducted through SPSS-26 software to analyze the differences on the prevalence of the elderly with different types of family structures. The result was that the number of the elderly with chronic diseases in China had reached 23.9% by the end of 2018, and the result of the Kruskal Wallis test was H = 40.288, P < 0.001. It is concluded that among the five family structures, the distribution of the prevalence of the elderly is not the same. Nearly one-fourth of the elderly population in China suffer from at least one chronic disease, showing a trend of comorbidity. Therefore, the government and society should actively carry out the early intervention, improve the support policy for the elderly from the perspective of family, and encourage young people to support the elderly, live together with the elderly, and care for the elderly.
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