Evidence map›Paper›PMID 39407115›Full record

ArticleBMC geriatrics2024

Estimates of multidimensional poverty and its determinants among older people in rural China: evidence from a multicenter cross-sectional survey.

Jingpu Zhao, Xiangxiang Liu, Yan Gao, Dongxia Li, Fang Liu, Jing Zhou, Fubing Zha, Yulong Wang

Abstract readMulticenter Study
In one paragraph

Article in BMC geriatrics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

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

8 authors.

Jingpu Zhao *Department of Rehabilitation, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen, China.
Xiangxiang Liu *National Clinical Research Center for Infectious Disease, Shenzhen Third People's Hospital, Shenzhen, China.
Yan GaoDepartment of Rehabilitation, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen, China.
Dongxia LiDepartment of Rehabilitation, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen, China.
Fang LiuDepartment of Rehabilitation, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen, China.
Jing ZhouDepartment of Rehabilitation, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen, China.
Fubing ZhaDepartment of Rehabilitation, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen, China.
Yulong WangDepartment of Rehabilitation, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen, China. ylwang668@163.com.

Funding

Sanming project of Medicine in Shenzhen grant no. SZSM202111010Shenzhen Science and Technology Innovation Program No. JCYJ20220530151018039
6 · The paper itself

Abstract

backgroundIn 2020, China declared that the absolute poverty in the country had been eradicated, but older people in rural areas are deprived in multiple domains. Poverty is multidimensional and involves deprivations in health, social welfare, living standards, and income. This study focused on assessing the poverty status of rural older persons and providing a basis for decision-making at all levels of government in China.

methodsA multicenter cross-sectional survey was conducted in four rural areas of China. Individuals aged 60 years and older were selected through stratified sampling. People with aphasia and severe cognitive impairment were excluded. An electronic questionnaire was used to collect older people's information, including basic demographics, major illnesses, disabilities, chronic diseases, functional disorders, and ability to perform activities of daily living. It also asked about the medical, financial, and social security assistance that respondents received, food and clothing standards, safe housing, clean energy, safe drinking water, and reliable electricity. Specific questions were asked regarding income sufficiency, financial support from children, and pension income. Multidimensional poverty measurements were used to compare regional disparities and indicators differences. Logistic regression was used to identify the risk factors influencing poverty.

resultsA total of 1272 older people were analyzed. Of them, 704 (55.35%) were women and 652 (51.26%) were aged between 60 and 69 years. The most frequently mentioned causes of poverty were illness, a lack of employment, inadequate technology, and poor transportation. We found that as multidimensional poverty indicators increased (from 6 to 10), the number of poor older people decreased (from 1218 to 437), as did the poverty incidence (from 95.75 to 34.36%) and multifaceted poverty index (from 53.41 to 25.06%). Xuanwei had the highest incidence of poverty (66.61%) and multidimensional poverty index (0.66) among the four provinces studied. Regarding the contribution of indicators, financial alleviation made the greatest contribution to multidimensional poverty among rural older adults (up to 70.51%). Age, marital status, education level, awareness of poverty alleviation policies, and region were significant predictors of multidimensional poverty among older rural residents(P < 0.05).

conclusionsChina's subsidy system and financial support must be enhanced. Particular attention should be given to the re-education of rural older individuals, basic vocational education should be strengthened in rural areas, and social participation should be encouraged.

Indexed as

PovertyRural PopulationAgedAged, 80 and overChinaCross-Sectional StudiesFemaleHumansMaleMiddle AgedSocioeconomic FactorsSurveys and QuestionnairesInfluencing factorMultidimensional povertyOlder peopleRural areaTargeted poverty alleviation

Identifiers

PMID39407115
PMCPMC11476649

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LicenceCC BY-NC-ND
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Registered trials

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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.