Cargando…

Well-being and health-related quality of life in new-generation migrant workers in Zhejiang province, China

BACKGROUND: The purpose of this study is to evaluate the reliability and validity of the multiple happiness questionnaire (MHQ) in new-generation migrant workers (NGMW), to compare the difference of well-being and Health-Related Quality of Life (HRQOL) in NGMW with first-generation migrant workers (...

Descripción completa

Detalles Bibliográficos
Autores principales: XING, Haiyan, YU, Wei, CHEN, Weiqian, CHENG, Xiaoqi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6625040/
https://www.ncbi.nlm.nih.gov/pubmed/31299967
http://dx.doi.org/10.1186/s12955-019-1193-y
_version_ 1783434336338444288
author XING, Haiyan
YU, Wei
CHEN, Weiqian
CHENG, Xiaoqi
author_facet XING, Haiyan
YU, Wei
CHEN, Weiqian
CHENG, Xiaoqi
author_sort XING, Haiyan
collection PubMed
description BACKGROUND: The purpose of this study is to evaluate the reliability and validity of the multiple happiness questionnaire (MHQ) in new-generation migrant workers (NGMW), to compare the difference of well-being and Health-Related Quality of Life (HRQOL) in NGMW with first-generation migrant workers (FGMW) and urban workers (UW), and to explore the relationship between well-being and HRQOL and analyze influential factors to well-being in NGMW in Zhejiang province, China. METHODS: By stratified sampling, 542 NGMW, 226 FGMW and 200 UW had completed the questionnaires in 2018. Cronbach’s alpha coefficient (a) for internal consistency of the multiple happiness questionnaire (MHQ) was used. Factor analysis was applied for construct validity. Scores of well-being and HRQOL were compared between NGMW and control groups. Spearman’s correlation was performed to clarify the relationship between well-being and HRQOL in NGMW. Multiple linear regression analytical methods were used to adjust confounding effects and to identify the variables that were associated with well-being. RESULTS: MHQ had good internal consistency (Cronbach’s alpha overall was 0.960, subscales ranged from 0.754 to 0.957) and structural validity based on factor analysis. Except for life satisfaction and altruism commitment, there was a positive correlation between well-being and HRQOL in NGMW. There were significant differences in psychological well-being (PWB), health concern, subjective vitality, physical component summary (PCS) and mental component summary (MCS) between NGMW and FGMW. Compared to UW, NGMW’s general well-being (GWB), subjective well-being (SWB), life satisfaction, positive relation and altruism commitment scores were lower and their negative affect was higher. The GWB score was related to MCS, PCS, self-reported social status, marital status, age and monthly income. CONCLUSION: The results suggest that the MHQ is a reliable and valid measure for well-being in NGMW. There is a significant difference in well-being and HRQOL between NGMW and control groups. Well-being is higher in NGMW than in FGMW, but is lower than in UW. Well-being is related with HRQOL and may be affected by MCS, PCS, self-reported social status, marital status, age and monthly income in NGMW.
format Online
Article
Text
id pubmed-6625040
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-66250402019-07-23 Well-being and health-related quality of life in new-generation migrant workers in Zhejiang province, China XING, Haiyan YU, Wei CHEN, Weiqian CHENG, Xiaoqi Health Qual Life Outcomes Research BACKGROUND: The purpose of this study is to evaluate the reliability and validity of the multiple happiness questionnaire (MHQ) in new-generation migrant workers (NGMW), to compare the difference of well-being and Health-Related Quality of Life (HRQOL) in NGMW with first-generation migrant workers (FGMW) and urban workers (UW), and to explore the relationship between well-being and HRQOL and analyze influential factors to well-being in NGMW in Zhejiang province, China. METHODS: By stratified sampling, 542 NGMW, 226 FGMW and 200 UW had completed the questionnaires in 2018. Cronbach’s alpha coefficient (a) for internal consistency of the multiple happiness questionnaire (MHQ) was used. Factor analysis was applied for construct validity. Scores of well-being and HRQOL were compared between NGMW and control groups. Spearman’s correlation was performed to clarify the relationship between well-being and HRQOL in NGMW. Multiple linear regression analytical methods were used to adjust confounding effects and to identify the variables that were associated with well-being. RESULTS: MHQ had good internal consistency (Cronbach’s alpha overall was 0.960, subscales ranged from 0.754 to 0.957) and structural validity based on factor analysis. Except for life satisfaction and altruism commitment, there was a positive correlation between well-being and HRQOL in NGMW. There were significant differences in psychological well-being (PWB), health concern, subjective vitality, physical component summary (PCS) and mental component summary (MCS) between NGMW and FGMW. Compared to UW, NGMW’s general well-being (GWB), subjective well-being (SWB), life satisfaction, positive relation and altruism commitment scores were lower and their negative affect was higher. The GWB score was related to MCS, PCS, self-reported social status, marital status, age and monthly income. CONCLUSION: The results suggest that the MHQ is a reliable and valid measure for well-being in NGMW. There is a significant difference in well-being and HRQOL between NGMW and control groups. Well-being is higher in NGMW than in FGMW, but is lower than in UW. Well-being is related with HRQOL and may be affected by MCS, PCS, self-reported social status, marital status, age and monthly income in NGMW. BioMed Central 2019-07-12 /pmc/articles/PMC6625040/ /pubmed/31299967 http://dx.doi.org/10.1186/s12955-019-1193-y Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
XING, Haiyan
YU, Wei
CHEN, Weiqian
CHENG, Xiaoqi
Well-being and health-related quality of life in new-generation migrant workers in Zhejiang province, China
title Well-being and health-related quality of life in new-generation migrant workers in Zhejiang province, China
title_full Well-being and health-related quality of life in new-generation migrant workers in Zhejiang province, China
title_fullStr Well-being and health-related quality of life in new-generation migrant workers in Zhejiang province, China
title_full_unstemmed Well-being and health-related quality of life in new-generation migrant workers in Zhejiang province, China
title_short Well-being and health-related quality of life in new-generation migrant workers in Zhejiang province, China
title_sort well-being and health-related quality of life in new-generation migrant workers in zhejiang province, china
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6625040/
https://www.ncbi.nlm.nih.gov/pubmed/31299967
http://dx.doi.org/10.1186/s12955-019-1193-y
work_keys_str_mv AT xinghaiyan wellbeingandhealthrelatedqualityoflifeinnewgenerationmigrantworkersinzhejiangprovincechina
AT yuwei wellbeingandhealthrelatedqualityoflifeinnewgenerationmigrantworkersinzhejiangprovincechina
AT chenweiqian wellbeingandhealthrelatedqualityoflifeinnewgenerationmigrantworkersinzhejiangprovincechina
AT chengxiaoqi wellbeingandhealthrelatedqualityoflifeinnewgenerationmigrantworkersinzhejiangprovincechina