Evidence map›Paper›PMID 29801495›Full record

ArticleHealth and quality of life outcomes2018

Health promoting lifestyles and influencing factors among empty nesters and non-empty nesters in Taiyuan, China: a cross-sectional study.

Chichen Zhang, Ruifang Zhu, Jiao Lu, Yaqing Xue, Lihong Hou, Mimi Li, Xiao Zheng, Tingzhong Yang, Jianzhong Zheng

Open access · goldAbstract read
In one paragraph

Article in Health and quality of life outcomes, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
7.7field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

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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

27 citing papers in PubMed, 56 citations in OpenAlex.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

9 authors at 2 institutions in 1 country.

Chichen ZhangSchool of Management, Shanxi Medical University, Taiyuan, Shanxi, China. zhangchichen@sina.com.ORCID http://orcid.org/0000-0003-1095-9939
Ruifang ZhuSchool of Nursing, Shanxi Medical University, Taiyuan, Shanxi, China.
Jiao LuSchool of Management, Shanxi Medical University, Taiyuan, Shanxi, China.
Yaqing XueSchool of Management, Shanxi Medical University, Taiyuan, Shanxi, China.
Lihong HouSchool of Management, Shanxi Medical University, Taiyuan, Shanxi, China.
Mimi LiSchool of Management, Shanxi Medical University, Taiyuan, Shanxi, China.
Xiao ZhengSchool of Management, Shanxi Medical University, Taiyuan, Shanxi, China.
Tingzhong YangCenter for Tobacco Control Research, Zhejiang University School of Medicine, Zhejiang, Hangzhou, China.
Jianzhong ZhengSchool of Management, Shanxi Medical University, Taiyuan, Shanxi, China.
Shanxi Medical University · CNZhejiang University · CN

Funding

Fund Program for the Scientific Activities of Selected Returned Overseas Professional in Shanxi Province 2017-16Graduate excellent innovation project in Shanxi Province 2017SY043National Natural Science Foundation of China 71403155Research Project Supported by Shanxi Scholarship Council of China 2017-062Soft Science Research Program in Shanxi 2017041039-2
6 · The paper itself

Abstract

backgroundIn China, the problems of population aging and empty nesting have become important issues which will affect the social stability and economic development. The aim of this study was to explore the health promoting lifestyles and influencing factors among empty nesters and compare with non-empty nesters to find out their differences, so as to provide a scientific evidence for people to formulate health management strategies for elderly.

methodsA cross-sectional survey which used a stratified random cluster sampling method, was conducted among 500 elders in six districts of Taiyuan, China, there were 288 empty nesters and 212 non-empty nesters. The general information and health- promoting lifestyles were investigated by using the self-made General Information Questionnaire and Health Promoting Lifestyle Scale(HPLP). Two-sample t-test and Chi-square test were used to compare the sociodemographic factors, HPLP scores of empty nesters to non-empty nesters; Multiple stepwise linear regression was performed to estimate influencing factors related to the HPLP of empty nesters and non-empty nesters.

resultsThe current findings showed that there were differences between the empty nesters and non-empty nesters in gender, resident, marital status, education and income, self-care ability, source of income, relationship with spouse and social activities (P < 0.05). Empty nesters were mostly male, married, had a higher education level, self-care ability and income and lived in urban compared with non-empty nesters. The health promoting lifestyles of the elderly in this survey were in the medium level, the highest score for all dimensions in both groups was in nutrition, whereas health responsibility was executed worst. The HPLP and six subscales scores of the empty nesters were higher than non-empty nesters, there were significant differences in total score of HPLP, self-realization and health responsibility (P < 0.01). Multiple regression analysis showed that the main predictive factors for the empty nesters were education, self-care ability and resident, whereas the main predictive factors for the non-empty nesters were parents-child relationship, source of income and age; social activity was the common factor for two group.

conclusionThe health promoting lifestyles of the empty nesters was better than that of the non-empty nesters. Health responsibility, interpersonal relations and stress management were key dimensions to be improved. Except social activity, education, self-care ability and resident were the unique influencing factors of health-promoting lifestyles for empty nesters, while the parents-child relationship, income and age were unique factors for non-empty nesters. The main target of Intervention strategy for elderly health promoting lifestyles should be the enhance of health responsibility, interpersonal relations and stress management by improving social activities, parent-child relationship, education and income of elderly.

Indexed as

Family CharacteristicsHealth Knowledge, Attitudes, PracticeHealthy LifestyleAgedAged, 80 and overChinaCluster AnalysisCross-Sectional StudiesFemaleGeriatric AssessmentHumansMaleMiddle AgedParent-Child RelationsQuality of LifeRegression AnalysisCross-sectional surveyElderlyHealth behaviorInfluencing factors

Identifiers

PMID29801495
PMCPMC5970479
OpenAlexW2807310702

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.