Evidence map›Paper›PMID 34202967›Full record

ArticleInternational journal of environmental research and public health2021

The Impact of Mental Health Status on Health Consumption of the Elderly in China.

Wen Liu, Guosheng Han, Xiangzi Yan, Xuan Zhang, Guangjie Ning, Armigon Ravshanovich Akhmedov, William Cannon Hunter

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 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

7 authors.

Wen LiuBusiness School, Shandong University, Weihai 264209, China.
Guosheng HanBusiness School, Shandong University, Weihai 264209, China.ORCID 0000-0001-9382-6984
Xiangzi YanBusiness School, Shandong University, Weihai 264209, China.
Xuan ZhangBusiness School, Shandong University, Jinan 250100, China.
Guangjie NingBusiness School, Shandong University, Weihai 264209, China.
Armigon Ravshanovich AkhmedovDepartment of Hotel Management, Graduate School, Kyung Hee University, Seoul 02447, Korea.ORCID 0000-0001-6542-9332
William Cannon HunterDepartment of Convention Management, College of Hotel and Tourism, Kyung Hee University, Seoul 02447, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Based on the national baseline survey data of the CHARLS2015, the comprehensive evaluation index of depression degree of the elderly in China is calculated using a principal component analysis method. The Tobit model is used to investigate the influence of mental health status with depression degree as a proxy variable on the health consumption of the elderly in China. The results show that the overall effect and the phased effect of depression on the health consumption of the elderly are positive. In other words, high levels of depression lead to a higher probability and amount of health consumption. Research findings show that chronic illness and increased social activity can weaken the effect of depression on the health spending of the elderly. Fully considering the factors affecting the mental health of elderly people is required to improve their level of mental health. Importantly, the quality audit system of health products and the supervision and management system of the health consumption market should be improved to realize the benign operation of the health consumption market.

Indexed as

Health StatusMental HealthAgedChinaChronic DiseaseDepressionHumansSurveys and QuestionnairesChinaelderlyhealth consumptionmental healthprincipal component analysisTobit modeltruncated data regression

Identifiers

PMID34202967
PMCPMC8296420

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.