Mental well-being model of Thai older adults: Comparing the aging in place and aging migrant groups
Although aging well and aging in place policies have been encouraged in many countries, a consistent challenge is insufficient evidence on older migrants. This study compared mental well-being models of older adults between aging in place and aging migrant groups. The model included social factors (...
Gespeichert in:
Veröffentlicht in: | PloS one 2024-12, Vol.19 (12), p.e0311284 |
---|---|
Hauptverfasser: | , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | |
---|---|
container_issue | 12 |
container_start_page | e0311284 |
container_title | PloS one |
container_volume | 19 |
creator | Tuicomepee, Arunya Wiwattanapantuwong, Juthatip Suttiwan, Panrapee Watakakosol, Rewadee Iamsupasit, Sompoch Phupha, Phummaret |
description | Although aging well and aging in place policies have been encouraged in many countries, a consistent challenge is insufficient evidence on older migrants. This study compared mental well-being models of older adults between aging in place and aging migrant groups. The model included social factors (e.g., social well-being) and personal factors (e.g., cognitive function and psychological distress).
Participants were 334 Thais (187 aging in place, 147 aging migrants). Their mean age was 69.79 ± 7.28 years old. All met the selection criteria: age 60 years or over, voluntary participation, and ability to visit the community area for study participation. Instruments were The Modified Mini-Mental State (3MS), 21-item Depression, Anxiety, Stress Scale, 15-item Social Well-Being Scale, and 5-item WHO Well-being Index. Data were collected in the five regions of Thailand from March 2021 to February 2022. Local psychologists and research assistants assessed and interviewed the participants. Maximum likelihood with the Satorra-Bentler correction was used for parameter estimation.
Both models fit the empirical data. The multi-group model estimation yielded a difference between the models. The factors of the aging in place group that were associated with mental well-being were psychological distress (SE = 0.08, p < .001) and cognitive function (SE = 0.07, p < .001), but not social well-being (SE = 0.09, ns). For the migrant group, psychological distress (SE = 0.12, p < .01) and social well-being (SE = 0.11, p < .001) were significant predictors of mental well-being, but not of cognitive function (SE = 0.12, ns).
By understanding differences in the mental well-being models between the two groups, policy makers and service providers can better address the needs of older adults. Policies and programs should be designed to reduce their psychological distress. Maintaining social connections can be crucial for migrants, while activities such as lifelong learning and physical activities to enhance cognitive function can benefit people who are aging in place. |
doi_str_mv | 10.1371/journal.pone.0311284 |
format | Article |
fullrecord | <record><control><sourceid>gale_plos_</sourceid><recordid>TN_cdi_plos_journals_3143785921</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A819694167</galeid><doaj_id>oai_doaj_org_article_de34514d9aeb4dbda0e6df5853574f2a</doaj_id><sourcerecordid>A819694167</sourcerecordid><originalsourceid>FETCH-LOGICAL-d4424-66076c5a7b5382696af126eb58574b0335905d15f976209c8e83767e8fdc31ff3</originalsourceid><addsrcrecordid>eNqNkluP1CAUxxujcdfVb2C0iYnRhxlLoVB8MZuJl0nWbKKrr-S0QIcJhQqtl28vs1vN1OyD4YHD4Xf-5wJZ9hgVa4QZerX3U3Bg14N3al1ghMqa3MlOEcflipYFvntkn2QPYtwXRYVrSu9nJ5hTShlFp1n7UbkRbP5DWbtqlHFd3nupbO51frUDk3srVchBTnaMr_ON7wcIB2rcqRy6g2VcPlho09HJ2dWbLoAb8y74aYgPs3sabFSP5v0s-_Lu7dXmw-ri8v12c36xkoSUZEVpwWhbAWtSmSXlFDQqqWqqumKkKTCueFFJVGnOUk-8rVWNGWWq1rLFSGt8lj290R2sj2KeTxQYEczqipcoEdsbQnrYiyGYHsIv4cGIa4cPnYAwmtYqIRUmFSKSg2qIbCQUikqdasGpGl1C0nozZ5uaXsk2zTGAXYgub5zZic5_FwhRzDAnSeHFrBD8t0nFUfQmtukhwCk_XReenqlkdZ3QZ_-gt7c3Ux2kDozTPiVuD6LivEaccoIoS9T6FiotqXrTpt-kTfIvAl4uAhIzqp9jB1OMYvv50_-zl1-X7PMjdqfAjrvo7TQa7-ISfHI86r8z_vON8W_fo_Dp</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>3143785921</pqid></control><display><type>article</type><title>Mental well-being model of Thai older adults: Comparing the aging in place and aging migrant groups</title><source>MEDLINE</source><source>DOAJ Directory of Open Access Journals</source><source>Public Library of Science (PLoS) Journals Open Access</source><source>EZB-FREE-00999 freely available EZB journals</source><source>PubMed Central</source><source>Free Full-Text Journals in Chemistry</source><creator>Tuicomepee, Arunya ; Wiwattanapantuwong, Juthatip ; Suttiwan, Panrapee ; Watakakosol, Rewadee ; Iamsupasit, Sompoch ; Phupha, Phummaret</creator><creatorcontrib>Tuicomepee, Arunya ; Wiwattanapantuwong, Juthatip ; Suttiwan, Panrapee ; Watakakosol, Rewadee ; Iamsupasit, Sompoch ; Phupha, Phummaret</creatorcontrib><description>Although aging well and aging in place policies have been encouraged in many countries, a consistent challenge is insufficient evidence on older migrants. This study compared mental well-being models of older adults between aging in place and aging migrant groups. The model included social factors (e.g., social well-being) and personal factors (e.g., cognitive function and psychological distress).
Participants were 334 Thais (187 aging in place, 147 aging migrants). Their mean age was 69.79 ± 7.28 years old. All met the selection criteria: age 60 years or over, voluntary participation, and ability to visit the community area for study participation. Instruments were The Modified Mini-Mental State (3MS), 21-item Depression, Anxiety, Stress Scale, 15-item Social Well-Being Scale, and 5-item WHO Well-being Index. Data were collected in the five regions of Thailand from March 2021 to February 2022. Local psychologists and research assistants assessed and interviewed the participants. Maximum likelihood with the Satorra-Bentler correction was used for parameter estimation.
Both models fit the empirical data. The multi-group model estimation yielded a difference between the models. The factors of the aging in place group that were associated with mental well-being were psychological distress (SE = 0.08, p < .001) and cognitive function (SE = 0.07, p < .001), but not social well-being (SE = 0.09, ns). For the migrant group, psychological distress (SE = 0.12, p < .01) and social well-being (SE = 0.11, p < .001) were significant predictors of mental well-being, but not of cognitive function (SE = 0.12, ns).
By understanding differences in the mental well-being models between the two groups, policy makers and service providers can better address the needs of older adults. Policies and programs should be designed to reduce their psychological distress. Maintaining social connections can be crucial for migrants, while activities such as lifelong learning and physical activities to enhance cognitive function can benefit people who are aging in place.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0311284</identifier><identifier>PMID: 39666761</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Adults ; Age ; Aged ; Aged, 80 and over ; Aging ; Aging - psychology ; Aging in place ; Analysis ; Anxiety ; Biology and Life Sciences ; Cognition - physiology ; Cognitive ability ; Community ; Community involvement ; COVID-19 ; Data collection ; Female ; Happiness ; Health aspects ; Humans ; Independent Living - psychology ; Lifelong learning ; Male ; Maximum likelihood estimation ; Medicine and Health Sciences ; Mental depression ; Mental Health ; Middle Aged ; Migrant labor ; Migrants ; Migration ; Neighborhoods ; Older people ; Parameter estimation ; People and Places ; Policies ; Psychological aspects ; Psychological stress ; Quality of life ; Social aspects ; Social discrimination learning ; Social factors ; Social interactions ; Social isolation ; Social networks ; Social Sciences ; Southeast Asian People ; Stress ; Thailand - epidemiology ; Transients and Migrants - psychology ; Well being</subject><ispartof>PloS one, 2024-12, Vol.19 (12), p.e0311284</ispartof><rights>Copyright: © 2024 Tuicomepee et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.</rights><rights>COPYRIGHT 2024 Public Library of Science</rights><rights>2024 Tuicomepee et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2024 Tuicomepee et al 2024 Tuicomepee et al</rights><rights>2024 Tuicomepee et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><orcidid>0000-0002-4527-5070 ; 0000-0003-1528-2250 ; 0009-0002-9770-4727</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC11637394/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC11637394/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,2102,23866,27924,27925,53791,53793,79600,79601</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/39666761$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Tuicomepee, Arunya</creatorcontrib><creatorcontrib>Wiwattanapantuwong, Juthatip</creatorcontrib><creatorcontrib>Suttiwan, Panrapee</creatorcontrib><creatorcontrib>Watakakosol, Rewadee</creatorcontrib><creatorcontrib>Iamsupasit, Sompoch</creatorcontrib><creatorcontrib>Phupha, Phummaret</creatorcontrib><title>Mental well-being model of Thai older adults: Comparing the aging in place and aging migrant groups</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Although aging well and aging in place policies have been encouraged in many countries, a consistent challenge is insufficient evidence on older migrants. This study compared mental well-being models of older adults between aging in place and aging migrant groups. The model included social factors (e.g., social well-being) and personal factors (e.g., cognitive function and psychological distress).
Participants were 334 Thais (187 aging in place, 147 aging migrants). Their mean age was 69.79 ± 7.28 years old. All met the selection criteria: age 60 years or over, voluntary participation, and ability to visit the community area for study participation. Instruments were The Modified Mini-Mental State (3MS), 21-item Depression, Anxiety, Stress Scale, 15-item Social Well-Being Scale, and 5-item WHO Well-being Index. Data were collected in the five regions of Thailand from March 2021 to February 2022. Local psychologists and research assistants assessed and interviewed the participants. Maximum likelihood with the Satorra-Bentler correction was used for parameter estimation.
Both models fit the empirical data. The multi-group model estimation yielded a difference between the models. The factors of the aging in place group that were associated with mental well-being were psychological distress (SE = 0.08, p < .001) and cognitive function (SE = 0.07, p < .001), but not social well-being (SE = 0.09, ns). For the migrant group, psychological distress (SE = 0.12, p < .01) and social well-being (SE = 0.11, p < .001) were significant predictors of mental well-being, but not of cognitive function (SE = 0.12, ns).
By understanding differences in the mental well-being models between the two groups, policy makers and service providers can better address the needs of older adults. Policies and programs should be designed to reduce their psychological distress. Maintaining social connections can be crucial for migrants, while activities such as lifelong learning and physical activities to enhance cognitive function can benefit people who are aging in place.</description><subject>Adults</subject><subject>Age</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Aging</subject><subject>Aging - psychology</subject><subject>Aging in place</subject><subject>Analysis</subject><subject>Anxiety</subject><subject>Biology and Life Sciences</subject><subject>Cognition - physiology</subject><subject>Cognitive ability</subject><subject>Community</subject><subject>Community involvement</subject><subject>COVID-19</subject><subject>Data collection</subject><subject>Female</subject><subject>Happiness</subject><subject>Health aspects</subject><subject>Humans</subject><subject>Independent Living - psychology</subject><subject>Lifelong learning</subject><subject>Male</subject><subject>Maximum likelihood estimation</subject><subject>Medicine and Health Sciences</subject><subject>Mental depression</subject><subject>Mental Health</subject><subject>Middle Aged</subject><subject>Migrant labor</subject><subject>Migrants</subject><subject>Migration</subject><subject>Neighborhoods</subject><subject>Older people</subject><subject>Parameter estimation</subject><subject>People and Places</subject><subject>Policies</subject><subject>Psychological aspects</subject><subject>Psychological stress</subject><subject>Quality of life</subject><subject>Social aspects</subject><subject>Social discrimination learning</subject><subject>Social factors</subject><subject>Social interactions</subject><subject>Social isolation</subject><subject>Social networks</subject><subject>Social Sciences</subject><subject>Southeast Asian People</subject><subject>Stress</subject><subject>Thailand - epidemiology</subject><subject>Transients and Migrants - psychology</subject><subject>Well being</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>DOA</sourceid><recordid>eNqNkluP1CAUxxujcdfVb2C0iYnRhxlLoVB8MZuJl0nWbKKrr-S0QIcJhQqtl28vs1vN1OyD4YHD4Xf-5wJZ9hgVa4QZerX3U3Bg14N3al1ghMqa3MlOEcflipYFvntkn2QPYtwXRYVrSu9nJ5hTShlFp1n7UbkRbP5DWbtqlHFd3nupbO51frUDk3srVchBTnaMr_ON7wcIB2rcqRy6g2VcPlho09HJ2dWbLoAb8y74aYgPs3sabFSP5v0s-_Lu7dXmw-ri8v12c36xkoSUZEVpwWhbAWtSmSXlFDQqqWqqumKkKTCueFFJVGnOUk-8rVWNGWWq1rLFSGt8lj290R2sj2KeTxQYEczqipcoEdsbQnrYiyGYHsIv4cGIa4cPnYAwmtYqIRUmFSKSg2qIbCQUikqdasGpGl1C0nozZ5uaXsk2zTGAXYgub5zZic5_FwhRzDAnSeHFrBD8t0nFUfQmtukhwCk_XReenqlkdZ3QZ_-gt7c3Ux2kDozTPiVuD6LivEaccoIoS9T6FiotqXrTpt-kTfIvAl4uAhIzqp9jB1OMYvv50_-zl1-X7PMjdqfAjrvo7TQa7-ISfHI86r8z_vON8W_fo_Dp</recordid><startdate>20241212</startdate><enddate>20241212</enddate><creator>Tuicomepee, Arunya</creator><creator>Wiwattanapantuwong, Juthatip</creator><creator>Suttiwan, Panrapee</creator><creator>Watakakosol, Rewadee</creator><creator>Iamsupasit, Sompoch</creator><creator>Phupha, Phummaret</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>COVID</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-4527-5070</orcidid><orcidid>https://orcid.org/0000-0003-1528-2250</orcidid><orcidid>https://orcid.org/0009-0002-9770-4727</orcidid></search><sort><creationdate>20241212</creationdate><title>Mental well-being model of Thai older adults: Comparing the aging in place and aging migrant groups</title><author>Tuicomepee, Arunya ; Wiwattanapantuwong, Juthatip ; Suttiwan, Panrapee ; Watakakosol, Rewadee ; Iamsupasit, Sompoch ; Phupha, Phummaret</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-d4424-66076c5a7b5382696af126eb58574b0335905d15f976209c8e83767e8fdc31ff3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Adults</topic><topic>Age</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Aging</topic><topic>Aging - psychology</topic><topic>Aging in place</topic><topic>Analysis</topic><topic>Anxiety</topic><topic>Biology and Life Sciences</topic><topic>Cognition - physiology</topic><topic>Cognitive ability</topic><topic>Community</topic><topic>Community involvement</topic><topic>COVID-19</topic><topic>Data collection</topic><topic>Female</topic><topic>Happiness</topic><topic>Health aspects</topic><topic>Humans</topic><topic>Independent Living - psychology</topic><topic>Lifelong learning</topic><topic>Male</topic><topic>Maximum likelihood estimation</topic><topic>Medicine and Health Sciences</topic><topic>Mental depression</topic><topic>Mental Health</topic><topic>Middle Aged</topic><topic>Migrant labor</topic><topic>Migrants</topic><topic>Migration</topic><topic>Neighborhoods</topic><topic>Older people</topic><topic>Parameter estimation</topic><topic>People and Places</topic><topic>Policies</topic><topic>Psychological aspects</topic><topic>Psychological stress</topic><topic>Quality of life</topic><topic>Social aspects</topic><topic>Social discrimination learning</topic><topic>Social factors</topic><topic>Social interactions</topic><topic>Social isolation</topic><topic>Social networks</topic><topic>Social Sciences</topic><topic>Southeast Asian People</topic><topic>Stress</topic><topic>Thailand - epidemiology</topic><topic>Transients and Migrants - psychology</topic><topic>Well being</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Tuicomepee, Arunya</creatorcontrib><creatorcontrib>Wiwattanapantuwong, Juthatip</creatorcontrib><creatorcontrib>Suttiwan, Panrapee</creatorcontrib><creatorcontrib>Watakakosol, Rewadee</creatorcontrib><creatorcontrib>Iamsupasit, Sompoch</creatorcontrib><creatorcontrib>Phupha, Phummaret</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>Gale In Context: Opposing Viewpoints</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>Coronavirus Research Database</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>ProQuest Engineering Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Agricultural Science Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>Engineering Database</collection><collection>Nursing & Allied Health Premium</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>Materials Science Collection</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Tuicomepee, Arunya</au><au>Wiwattanapantuwong, Juthatip</au><au>Suttiwan, Panrapee</au><au>Watakakosol, Rewadee</au><au>Iamsupasit, Sompoch</au><au>Phupha, Phummaret</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Mental well-being model of Thai older adults: Comparing the aging in place and aging migrant groups</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2024-12-12</date><risdate>2024</risdate><volume>19</volume><issue>12</issue><spage>e0311284</spage><pages>e0311284-</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Although aging well and aging in place policies have been encouraged in many countries, a consistent challenge is insufficient evidence on older migrants. This study compared mental well-being models of older adults between aging in place and aging migrant groups. The model included social factors (e.g., social well-being) and personal factors (e.g., cognitive function and psychological distress).
Participants were 334 Thais (187 aging in place, 147 aging migrants). Their mean age was 69.79 ± 7.28 years old. All met the selection criteria: age 60 years or over, voluntary participation, and ability to visit the community area for study participation. Instruments were The Modified Mini-Mental State (3MS), 21-item Depression, Anxiety, Stress Scale, 15-item Social Well-Being Scale, and 5-item WHO Well-being Index. Data were collected in the five regions of Thailand from March 2021 to February 2022. Local psychologists and research assistants assessed and interviewed the participants. Maximum likelihood with the Satorra-Bentler correction was used for parameter estimation.
Both models fit the empirical data. The multi-group model estimation yielded a difference between the models. The factors of the aging in place group that were associated with mental well-being were psychological distress (SE = 0.08, p < .001) and cognitive function (SE = 0.07, p < .001), but not social well-being (SE = 0.09, ns). For the migrant group, psychological distress (SE = 0.12, p < .01) and social well-being (SE = 0.11, p < .001) were significant predictors of mental well-being, but not of cognitive function (SE = 0.12, ns).
By understanding differences in the mental well-being models between the two groups, policy makers and service providers can better address the needs of older adults. Policies and programs should be designed to reduce their psychological distress. Maintaining social connections can be crucial for migrants, while activities such as lifelong learning and physical activities to enhance cognitive function can benefit people who are aging in place.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>39666761</pmid><doi>10.1371/journal.pone.0311284</doi><tpages>e0311284</tpages><orcidid>https://orcid.org/0000-0002-4527-5070</orcidid><orcidid>https://orcid.org/0000-0003-1528-2250</orcidid><orcidid>https://orcid.org/0009-0002-9770-4727</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1932-6203 |
ispartof | PloS one, 2024-12, Vol.19 (12), p.e0311284 |
issn | 1932-6203 1932-6203 |
language | eng |
recordid | cdi_plos_journals_3143785921 |
source | MEDLINE; DOAJ Directory of Open Access Journals; Public Library of Science (PLoS) Journals Open Access; EZB-FREE-00999 freely available EZB journals; PubMed Central; Free Full-Text Journals in Chemistry |
subjects | Adults Age Aged Aged, 80 and over Aging Aging - psychology Aging in place Analysis Anxiety Biology and Life Sciences Cognition - physiology Cognitive ability Community Community involvement COVID-19 Data collection Female Happiness Health aspects Humans Independent Living - psychology Lifelong learning Male Maximum likelihood estimation Medicine and Health Sciences Mental depression Mental Health Middle Aged Migrant labor Migrants Migration Neighborhoods Older people Parameter estimation People and Places Policies Psychological aspects Psychological stress Quality of life Social aspects Social discrimination learning Social factors Social interactions Social isolation Social networks Social Sciences Southeast Asian People Stress Thailand - epidemiology Transients and Migrants - psychology Well being |
title | Mental well-being model of Thai older adults: Comparing the aging in place and aging migrant groups |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-27T03%3A13%3A11IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Mental%20well-being%20model%20of%20Thai%20older%20adults:%20Comparing%20the%20aging%20in%20place%20and%20aging%20migrant%20groups&rft.jtitle=PloS%20one&rft.au=Tuicomepee,%20Arunya&rft.date=2024-12-12&rft.volume=19&rft.issue=12&rft.spage=e0311284&rft.pages=e0311284-&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0311284&rft_dat=%3Cgale_plos_%3EA819694167%3C/gale_plos_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=3143785921&rft_id=info:pmid/39666761&rft_galeid=A819694167&rft_doaj_id=oai_doaj_org_article_de34514d9aeb4dbda0e6df5853574f2a&rfr_iscdi=true |