Left-Behind Status Worsens Prognosis of ST-Elevation Myocardial Infarction in Elderly Patients from Southwest China

Cao, Maolin; Zhang, Zhe; Li, Shichuan; Chen, Yan; Shu, Rong; Li, Bo; Chen, Zijun

doi:10.12659/msm.927300

Cited by 1 publication

(1 citation statement)

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“…Therefore, the improvement of public health policies mainly focusing on the medical care system, and the improvement of social support policies related to mental health and active aging, are core issues in the next stage [8]. Social changes such as population aging and population mobility [9] have made older adults the high-risk social group. To effectively improve relevant policies, characteristics of older adults and differences between supply and demand of current public policies in different regions should be fully considered.…”

Section: Introductionmentioning

confidence: 99%

Vulnerable Older Adults’ Identification, Geographic Distribution, and Policy Implications in China

Jin

Liu

et al. 2021

IJERPH

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With the population aging and urbanization in China, vulnerable older adults tend to show more complex characteristics, bringing great challenges to public health policies. Using China Longitudinal Aging Social Survey data 2014, this paper builds a comprehensive index system for the identification of vulnerable older adults from three dimensions, including health, economy, and social support, then divides older adults into four support levels and six small classes by using the typological method. The results show that older adults in urgent need of assistance or priority are those poor in health and economic conditions, 1.46% of them are highly vulnerable because of the lack of social support; 12.76% of them obtain a certain social support are moderately vulnerable; and 34.72% of them are slightly vulnerable with disadvantage in only one dimension. The geographic distribution of different types of vulnerable older adults varies significantly. The paper provides evidence to design more feasible and specific policies with comprehensive considerations for different types of vulnerable older adults residing in different regions.

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Section: Introductionmentioning

confidence: 99%