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. 2020 Dec 11;17(24):9261.
doi: 10.3390/ijerph17249261.

Health-Related Quality of Life and Health Service Use among Multimorbid Middle-Aged and Older-Aged Adults in China: A Cross-Sectional Study in Shandong Province

Affiliations

Health-Related Quality of Life and Health Service Use among Multimorbid Middle-Aged and Older-Aged Adults in China: A Cross-Sectional Study in Shandong Province

Qinfeng Zhao et al. Int J Environ Res Public Health. .

Abstract

(1) Background: The management of multiple chronic diseases challenges China's health system, but current research has neglected how multimorbidity is associated with poor health-related quality of life (HRQOL) and high health service demands by middle-aged and older adults. (2) Methods: A cross-sectional study was conducted in Shandong province, China in 2018 across three age groups: Middle-aged (45 to 59 years), young-old (60 to 74 years), and old-old (75 or above years). The information about socio-economic, health-related behaviors, HRQOL, and health service utilization was collected via face-to-face structured questionnaires. The EQ-5D-3L instrument, comprising a health description system and a visual analog scale (VAS), was used to measure participants' HRQOL, and χ2 tests and the one-way ANOVA test were used to analyze differences in socio-demographic factors and HRQOL among the different age groups. Logistic regression models estimated the associations between lifestyle factors, health service utilization, and multimorbidity across age groups. (3) Results: There were 17,867 adults aged 45 or above in our sample, with 9259 (51.82%) female and 65.60% living in rural areas. Compared with the middle-aged adults, the young-old and old-old were more likely to be single and to have a lower level of education and income, with the old-old having lower levels than the young-old (P < 0.001). We found that 2465 (13.80%) suffered multimorbidities of whom 75.21% were older persons (aged 60 or above). As age increased, both the mean values of EQ-5D utility and the VAS scale decreased, displaying an inverse trend to the increase in the number of chronic diseases (P < 0.05). Ex-smokers and physical check-ups for middle or young-old respondents and overweight/obesity for all participants (P < 0.05) were positively correlated with multimorbidity. Drinking within the past month for all participants (P < 0.001), and daily tooth-brushing for middle (P < 0.05) and young-old participants (P < 0.001), were negatively associated with multimorbidity. Multimorbidities increased service utilization including outpatient and inpatient visits and taking self-medicine; and the probability of health utilization was the lowest for the old-old multimorbid patients (P < 0.001). (4) Conclusions: The prevalence and decline in HRQOL of multimorbid middle-aged and older-aged people were severe in Shandong province. Old patients also faced limited access to health services. We recommend early prevention and intervention to address the prevalence of middle-aged and old-aged multimorbidity. Further, the government should set-up special treatment channels for multiple chronic disease sufferers, improve medical insurance policies for the older-aged groups, and set-up multiple chronic disease insurance to effectively alleviate the costs of medical utilization caused by economic pressure for outpatients and inpatients with chronic diseases.

Keywords: China; middle-aged and old-aged adults; multimorbidity.

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Conflict of interest statement

The authors declare no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Figures

Figure 1
Figure 1
Prevalence of multimorbidity by different age groups.

References

    1. Hu X., Huang J., Lv Y., Li G., Peng X. Status of prevalence study on multimorbidity of chronic disease in China: Systematic review. Geriatr. Gerontol. Int. 2014;15:1–10. doi: 10.1111/ggi.12340. - DOI - PubMed
    1. Li X., Cai L., Cui W.-L., Wang X.-M., Li H.-F., He J.-H., Golden A.R. Association of socioeconomic and lifestyle factors with chronic non-communicable diseases and multimorbidity among the elderly in rural southwest China. J. Public Health. 2019;42:239–246. doi: 10.1093/pubmed/fdz020. - DOI - PubMed
    1. Zhao Y., Atun R., Oldenburg B., McPake B., Tang S., Mercer S.W., Cowling E.T., Sum G., Qin V.M., Lee J.T. Physical multimorbidity, health service use, and catastrophic health expenditure by socioeconomic groups in China: An analysis of population-based panel data. Lancet Glob. Health. 2020;8:e840–e849. doi: 10.1016/S2214-109X(20)30127-3. - DOI - PMC - PubMed
    1. Li H., Jia P., Fei T. Associations between taste preferences and chronic diseases: A population-based exploratory study in China. Public Health Nutr. 2020:1–12. doi: 10.1017/S136898002000035X. - DOI - PMC - PubMed
    1. Barnett K., Mercer S.W., Norbury M., Watt G., Wyke S., Guthrie B. Epidemiology of multimorbidity and implications for health care, research, and medical education: A cross-sectional study. Lancet. 2012;380:37–43. doi: 10.1016/S0140-6736(12)60240-2. - DOI - PubMed

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