Abstract

BackgroundThe accelerated aging trend brought great chronic diseases burdens. Disabled Adjusted Life Years (DALYs) is a novel way to measure the chronic diseases burden. This study aimed to explore the cohort, socioeconomic status (SES), and gender disparities of the DALYs trajectories.MethodsA total of 15,062 participants (55,740 observations) comes from China Health and Retirement Longitudinal Study (CHARLS) from 2011 to 2018. Mixed growth curve model was adopted to predict the DALYS trajectories in 45–90 years old people influenced by different birth cohorts and SES.ResultsWe find significant cohort, SES (resident place, education level and income) disparities differences in the chronic diseases DALYs. For individuals of earlier cohort, DALYs are developed in a late age but grow fast with age but reversed for most recent cohorts. Living in urban, having higher SES level will decrease the growth rate with age, but converges for most recent cohorts. Meanwhile, DALYs disparities of resident place and education level show gender differentials that those for female are narrowed across cohort but for male are not.ConclusionsThe cohort effects on chronic diseases DALYs are accumulated with China’s unique social, and political settings. There are large inequalities in early experiences, SES and DALYs. Efforts of reducing these inequalities must focus on the lower SES individuals and those living in rural areas, which greatly benefit individuals from recent cohorts.

Highlights

  • The accelerated aging trend brought great chronic diseases burdens

  • The objective of this study is to explore the growth trajectory of Disabled Adjusted Life Years (DALYs) of chronic diseases for middle-aged and elderly people and its disparities across cohort, socioeconomic status (SES) and gender

  • We calculate the chronic diseases DALYs by valuing the disability weights from GBD study 2013. This is a creative application for the GBD study which is firstly used in the exploration of early psychological risks effects on health [45], and the results of this study further proved the validity of this methods

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Summary

Introduction

The accelerated aging trend brought great chronic diseases burdens. Disabled Adjusted Life Years (DALYs) is a novel way to measure the chronic diseases burden. Understanding the change trend of chronic diseases with age is a critical way to control them. In the former researches, morbidity and mortality are the mostly used indicators to measure the diseases [3,4,5,6]. After Global Burden of Disease Study 2010 (GBD study 2010) published the measurement of Disabled Adjusted Life. There will be measurements of chronic diseases by DALYs being published every year. Most of them focused only one disease and analyses of the disease lack of longitudinal perspective

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