Evidence map›Paper›PMID 34344369›Full record

ArticleInternational journal for equity in health2021

Trajectories of middle-aged and elderly people's chronic diseases Disability Adjusted Life Years (DALYs): cohort, socio-economic status and gender disparities.

Gangming Zhang, Fang Tang, Jing Liang, Peigang Wang

Abstract read
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Article in International journal for equity in health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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0cells of the map it votes in
3citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Health-related quality of life assessed by EQ-5D-5L and its determinants among rural adults: result from the Henan rural cohort study.The European journal of health economics : HEPAC : health economics in prevention and care · 2024
    Article
  3. Article
4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Gangming Zhang *School of Health Sciences, Wuhan University, 115 Donghu Road, Wuhan City, Hubei Province, China.
Fang Tang *School of Health Sciences, Wuhan University, 115 Donghu Road, Wuhan City, Hubei Province, China.
Jing LiangSchool of Health Sciences, Wuhan University, 115 Donghu Road, Wuhan City, Hubei Province, China.
Peigang WangSchool of Health Sciences, Wuhan University, 115 Donghu Road, Wuhan City, Hubei Province, China. wpg926@whu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Chronic DiseaseHealth Status DisparitiesPersons with DisabilitiesQuality-Adjusted Life YearsAgedAged, 80 and overChinaCohort StudiesFemaleHumansMaleMiddle AgedSex DistributionSocioeconomic FactorsChronic diseasesDALYsGenderLife courseSES

Identifiers

PMID34344369
PMCPMC8335861

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.