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Koga C, Saito T, Hanazato M, Kondo N, Saito M, Ojima T, Kondo K. Living in public rental housing is healthier than private rental housing a 9-year cohort study from Japan Gerontological Evaluation Study. Sci Rep 2024; 14:7547. [PMID: 38555321 PMCID: PMC10981673 DOI: 10.1038/s41598-024-58244-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2023] [Accepted: 03/27/2024] [Indexed: 04/02/2024] Open
Abstract
Housing tenure is an important aspect to determine health. However, even though renters tend to have more socioeconomic disadvantages than homeowners, mortality risk between private and public renters compared with homeowners remains unclear. Japanese public rented housing, such as the Urban Renaissance Agency, has been developed for supplying an adequate living environment since 1950s. This study aimed to examine the mortality risk among older Japanese residents living in private and public rented houses compared with those living in owner-occupied houses using 9-year follow-up data. This study drew upon a 9-year follow-up of participants in the Japan Gerontological Evaluation Study, a population-based cohort study of Japanese independent adults aged ≥ 65 years. Mortality from 2010 to 2019 was analyzed for 44,007 respondents. Housing tenure was defined by a questionnaire. Cox regression models were used for calculating the hazard ratio for mortality. Bonferroni correction was used to account for multiple testing between rental houses. Overall, 10,638 deaths occurred during the follow-up period. Compared with housing owners, all rental housing groups had a significantly higher risk of mortality. Among renters, participants who lived in public rental housing had the lowest risk of mortality even after adjusting for sociodemographic characteristics, health status, social status, and environmental status. Multiple testing among renters with Bonferroni correction showed that public renters had 0.80 times (95% CI 0.72-0.89) lower mortality risk than private renters. Although Japanese older adults living in public rental housing had a higher mortality risk than homeowners, this risk was lower than that among private renters. A positive neighborhood environment based on well-planned urban development may have contributed to this result. The results suggest that planned urban development lowers the risk of mortality in older renters in Japan.
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Grants
- 15H01972, 15H04781, 15H05059, 15K03417, 15K03982, 15K16181, 15K17232, 15K18174, 15K19241, 15K21266, 15KT0007, 15KT0097, 16H05556, 16K09122, 16K00913, 16K02025, 16K12964, 16K13443, 16K16295, 16K16595, 16K16633, 16K17256, 16K17281, 16K19247, 16K19267, 16K21461, 16K21465, 16KT0014, 17K04305, 17K04306, 25253052, 25713027, 26285138, 26460828, 26780328, 18H03018, 18H04071, 18H03047, 18H00953, 18H00955, Japan Society for the Promotion of Science
- 15H01972, 15H04781, 15H05059, 15K03417, 15K03982, 15K16181, 15K17232, 15K18174, 15K19241, 15K21266, 15KT0007, 15KT0097, 16H05556, 16K09122, 16K00913, 16K02025, 16K12964, 16K13443, 16K16295, 16K16595, 16K16633, 16K17256, 16K17281, 16K19247, 16K19267, 16K21461, 16K21465, 16KT0014, 17K04305, 17K04306, 25253052, 25713027, 26285138, 26460828, 26780328, 18H03018, 18H04071, 18H03047, 18H00953, 18H00955, Japan Society for the Promotion of Science
- 15H01972, 15H04781, 15H05059, 15K03417, 15K03982, 15K16181, 15K17232, 15K18174, 15K19241, 15K21266, 15KT0007, 15KT0097, 16H05556, 16K09122, 16K00913, 16K02025, 16K12964, 16K13443, 16K16295, 16K16595, 16K16633, 16K17256, 16K17281, 16K19247, 16K19267, 16K21461, 16K21465, 16KT0014, 17K04305, 17K04306, 25253052, 25713027, 26285138, 26460828, 26780328, 18H03018, 18H04071, 18H03047, 18H00953, 18H00955, Japan Society for the Promotion of Science
- 15H01972, 15H04781, 15H05059, 15K03417, 15K03982, 15K16181, 15K17232, 15K18174, 15K19241, 15K21266, 15KT0007, 15KT0097, 16H05556, 16K09122, 16K00913, 16K02025, 16K12964, 16K13443, 16K16295, 16K16595, 16K16633, 16K17256, 16K17281, 16K19247, 16K19267, 16K21461, 16K21465, 16KT0014, 17K04305, 17K04306, 25253052, 25713027, 26285138, 26460828, 26780328, 18H03018, 18H04071, 18H03047, 18H00953, 18H00955, Japan Society for the Promotion of Science
- 15H01972, 15H04781, 15H05059, 15K03417, 15K03982, 15K16181, 15K17232, 15K18174, 15K19241, 15K21266, 15KT0007, 15KT0097, 16H05556, 16K09122, 16K00913, 16K02025, 16K12964, 16K13443, 16K16295, 16K16595, 16K16633, 16K17256, 16K17281, 16K19247, 16K19267, 16K21461, 16K21465, 16KT0014, 17K04305, 17K04306, 25253052, 25713027, 26285138, 26460828, 26780328, 18H03018, 18H04071, 18H03047, 18H00953, 18H00955, Japan Society for the Promotion of Science
- 15H01972, 15H04781, 15H05059, 15K03417, 15K03982, 15K16181, 15K17232, 15K18174, 15K19241, 15K21266, 15KT0007, 15KT0097, 16H05556, 16K09122, 16K00913, 16K02025, 16K12964, 16K13443, 16K16295, 16K16595, 16K16633, 16K17256, 16K17281, 16K19247, 16K19267, 16K21461, 16K21465, 16KT0014, 17K04305, 17K04306, 25253052, 25713027, 26285138, 26460828, 26780328, 18H03018, 18H04071, 18H03047, 18H00953, 18H00955, Japan Society for the Promotion of Science
- 15H01972, 15H04781, 15H05059, 15K03417, 15K03982, 15K16181, 15K17232, 15K18174, 15K19241, 15K21266, 15KT0007, 15KT0097, 16H05556, 16K09122, 16K00913, 16K02025, 16K12964, 16K13443, 16K16295, 16K16595, 16K16633, 16K17256, 16K17281, 16K19247, 16K19267, 16K21461, 16K21465, 16KT0014, 17K04305, 17K04306, 25253052, 25713027, 26285138, 26460828, 26780328, 18H03018, 18H04071, 18H03047, 18H00953, 18H00955, Japan Society for the Promotion of Science
- 24-17, 24-23, 29-42, 30-30, 30-22, 20-19, 21-20 the Research Funding for Longevity Sciences from National Center for Geriatrics and Gerontology
- 24-17, 24-23, 29-42, 30-30, 30-22, 20-19, 21-20 the Research Funding for Longevity Sciences from National Center for Geriatrics and Gerontology
- JPMJOP1831 the Japan Science and Technology
- JP18dk0110027, JP18ls0110002, JP18le0110009, JP20dk0110034, JP21lk0310073, JP21dk0110037, and JP22lk0310087 the Ministry of Health, Labor and Welfare, Japan
- H26-Choju-Ippan-006, H27-Ninchisyou-Ippan-001 H28Choju-Ippan-002, H28Ninchisyou-Ippan-002, H30-Kenki-Ippan-006,H29-Chikyukibo-Ippan-001, H30-Jyunkankinado-Ippan-004, 19FA1012, 19FA2001, 21FA1012, 22FA2001, 22FA1010 Health Labor Sciences Research Grants
- H26-Choju-Ippan-006, H27-Ninchisyou-Ippan-001 H28Choju-Ippan-002, H28Ninchisyou-Ippan-002, H30-Kenki-Ippan-006,H29-Chikyukibo-Ippan-001, H30-Jyunkankinado-Ippan-004, 19FA1012, 19FA2001, 21FA1012, 22FA2001, 22FA1010 Health Labor Sciences Research Grants
- H26-Choju-Ippan-006, H27-Ninchisyou-Ippan-001 H28Choju-Ippan-002, H28Ninchisyou-Ippan-002, H30-Kenki-Ippan-006,H29-Chikyukibo-Ippan-001, H30-Jyunkankinado-Ippan-004, 19FA1012, 19FA2001, 21FA1012, 22FA2001, 22FA1010 Health Labor Sciences Research Grants
- J09KF00804 the Japan Foundation For Aging And Health
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Affiliation(s)
- Chie Koga
- Research Center for Advanced Science and Technology, The University of Tokyo, 4-6-1 Komaba, Meguro-ku, Tokyo, 153-8904, Japan.
| | - Tami Saito
- Center for Gerontology and Social Science, National Center for Geriatrics and Gerontology, 7-430 Morikoka-cho, Obu-shi, Aichi, 474-8511, Japan
| | - Masamichi Hanazato
- Center for Preventive Medical Sciences, Chiba University, 1-33 Yayoi-cho, Inage-ku, Chiba-shi, Chiba, 263-8522, Japan
| | - Naoki Kondo
- Department of Social Epidemiology, Graduate School of Medicine and School of Public Health, Kyoto University, Kyoto, 606-8501, Japan
| | - Masashige Saito
- Faculty of Social Welfare, Nihon Fukushi University, Aichi, 470-3295, Japan
| | - Toshiyuki Ojima
- Department of Community Health and Preventive Medicine, Hamamatsu University School of Medicine, 1-20-1 Handayama, Higashi-ku, Hamamatsu-shi, Shizuoka, 431-3192, Japan
| | - Katsunori Kondo
- Center for Gerontology and Social Science, National Center for Geriatrics and Gerontology, 7-430 Morikoka-cho, Obu-shi, Aichi, 474-8511, Japan
- Center for Preventive Medical Sciences, Chiba University, 1-33 Yayoi-cho, Inage-ku, Chiba-shi, Chiba, 263-8522, Japan
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Zajdel RA. Divergent Immigrant Health Trajectories: Disparities in Physical Health Using a Multidimensional Conceptualization of Legal Status. INTERNATIONAL MIGRATION REVIEW 2023. [DOI: 10.1177/01979183221149021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/13/2023]
Abstract
Immigrant health research demonstrates that foreign-born individuals generally experience lower morbidity rates relative to native-born individuals. However, this research often overlooks structural factors that influence the immigrant experience, such as legal status. The present study examines legal status as a multidimensional and dynamic characteristic that shapes immigrant health over time. I use two waves of the New Immigrant Survey (n = 3550) to assess if three dimensions of legal status — initial documentation classification, legal permanent residence (LPR) admission category, and US citizenship — predict likelihoods of reporting a chronic condition among a sample of immigrants who attained LPR. Results indicate that each of the three dimensions of legal status predicted health. Immigrants who obtained US citizenship improved their relative health over time, while immigrants with previous temporarily documented, undocumented, legalization, or refugee experience exhibited persistent disadvantage in the hierarchy of immigrant health. Findings demonstrate that the sociopolitical context continually shapes the physical health of immigrants, and a dynamic and multidimensional conceptualization of legal status can expose previously obscured disparities in the overarching pattern of an immigrant health advantage.
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Wang Y. Housing cost burden, homeownership, and self-rated health among migrant workers in Chinese cities: The confounding effect of residence duration. CITIES (LONDON, ENGLAND) 2023; 133:104128. [PMID: 37425220 PMCID: PMC10328455 DOI: 10.1016/j.cities.2022.104128] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/11/2023]
Abstract
Housing is a critical social determinant of health. Research on the impact of housing on health among migrants is more complex than that of the general population because of migrants' health decline over time: while migrants exhibit a health advantage upon arrival, they gradually lose it as they stay longer in the host city. Existing studies on migrants' housing and health have paid little attention to the confounding effect of residence duration and are thus prone to misleading results. Using data from the 2017 China Migrants Dynamic Survey (CMDS), this study fills in the gap by examining how the incorporation of residence duration alters the relationship of housing cost burden and homeownership with migrant self-rated health (SRH). The study shows that migrant workers with higher housing cost burden and longer residence duration tend to have worse SRH. Incorporating residence duration attenuates the crude association between homeownership and worse SRH. The results imply that the health decline among migrants can be attributed to the discriminatory hukou system-a system that limits migrants' access to social welfare and puts them in a socioeconomically disadvantaged position. The study thus emphasizes the removal of structural and socio-economic barriers faced by the migrant population.
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Affiliation(s)
- Yi Wang
- Humphrey School of Public Affairs, University of Minnesota, Minneapolis, USA
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Choi JI, Lee J, Yeh AB, Lan Q, Kang H. Spatial clustering of heroin-related overdose incidents: a case study in Cincinnati, Ohio. BMC Public Health 2022; 22:1253. [PMID: 35752791 PMCID: PMC9233379 DOI: 10.1186/s12889-022-13557-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2022] [Accepted: 05/24/2022] [Indexed: 12/03/2022] Open
Abstract
Background Drug overdose is one of the top leading causes of accidental death in the U.S., largely due to the opioid epidemic. Although the opioid epidemic is a nationwide issue, it has not affected the nation uniformly. Methods We combined multiple data sources, including emergency medical service response, American Community Survey data, and health facilities datasets to analyze distributions of heroin-related overdose incidents in Cincinnati, Ohio at the census block group level. The Ripley’s K function and the local Moran’s I statistics were performed to examine geographic variation patterns in heroin-related overdose incidents within the study area. Then, conditional cluster maps were plotted to examine a relationship between heroin-related incident rates and sociodemographic characteristics of areas as well as the resources for opioid use disorder treatment. Results The global spatial analysis indicated that there was a clustered pattern of heroin-related overdose incident rates at every distance across the study area. The univariate local spatial analysis identified 7 hot spot clusters, 27 cold spot clusters, and 1 outlier cluster. Conditional cluster maps showed characteristics of neighborhoods with high heroin overdose rates, such as a higher crime rate, a high percentage of the male, a high poverty level, a lower education level, and a lower income level. The hot spots in the Southwest areas of Cincinnati had longer distances to opioid treatment programs and buprenorphine prescribing physicians than the median, while the hot spots in the South-Central areas of the city had shorter distances to those health resources. Conclusions Our study showed that the opioid epidemic disproportionately affected Cincinnati. Multi-phased spatial clustering models based on various data sources can be useful to identify areas that require more policy attention and targeted interventions to alleviate high heroin-related overdose rates. Supplementary Information The online version contains supplementary material available at 10.1186/s12889-022-13557-3.
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Affiliation(s)
- Jung Im Choi
- Data Science, Bowling Green State University, 221 Hayes Hall, Bowling Green, OH, 43403, USA
| | - Jinha Lee
- Faculty of Public and Allied Health, Bowling Green State University, 111 Health and Human Services Building, Bowling Green, OH, 43403, USA.
| | - Arthur B Yeh
- Faculty of Applied Statistics and Operations Research, Bowling Green State University, 1001 E Wooster Street, Maurer Center 241J, Bowling Green, OH, 43403, USA
| | - Qizhen Lan
- Data Science, Bowling Green State University, 221 Hayes Hall, Bowling Green, OH, 43403, USA
| | - Hyojung Kang
- Faculty of Kinesiology and Community Health, University of Illinois at Urbana-Champaign, 1206 Fourth Street, IL, 61820, Champaign, USA.
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5
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Burns SD, Baker EH, Sheehan CM. Disability and self-rated health: Exploring foreign- and U.S.-born differences across adulthood. J Migr Health 2022; 6:100112. [PMID: 35620793 PMCID: PMC9126965 DOI: 10.1016/j.jmh.2022.100112] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2022] [Revised: 04/22/2022] [Accepted: 05/03/2022] [Indexed: 11/25/2022] Open
Abstract
There is limited inquiry regarding how immigrant status intersects with disability to influence health across adulthood. As the U.S. population continues to age, especially immigrants, understanding how disability influences health is imperative. Using 2010-2018 National Health Interview Survey data (n = 461,010) and logistic regression models, we investigate how differences in reporting Activity of Daily Living (ADL) disability influence reports of self-rated health (SRH) between foreign- and U.S.-born respondents (ages 25+) by race/ethnicity (non-Hispanic White, non-Hispanic Black, Hispanic, and non-Hispanic Asian) by age group (25-64 and 65+). Among those ages 25-64, foreign-born respondents generally report lower or similar rates of fair/poor SRH and ADL disability when compared to their U.S.-born peers. Among those ages 65+, we find that foreign-born respondents are at greater risk of fair/poor SRH compared to their U.S.-born peers. Additionally, while having ADL disability greatly increases the likelihood of fair/poor SRH, the impact of this association differs by race/ethnicity/nativity and age. Among those 25-64, having ADL disability appears to be especially, negatively impactful for SRH among foreign-born groups, particularly Hispanics and non-Hispanic Whites. However, among those ages 65+, having ADL disability is less impactful on the SRH of foreign-born respondents, especially non-Hispanic Blacks and Hispanics. Our findings shed new light on marginalization-related diminished returns by showing how ADL disability influences SRH differently between foreign-born groups across adulthood.
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Affiliation(s)
- Shane D. Burns
- Leonard Davis School of Gerontology, University of Southern California, 3715 McClintock Ave., Room 219A, Los Angeles, California 90089, United States
| | - Elizabeth H. Baker
- Department of Sociology, University of Alabama at Birmingham | Rm. 460, 1401 University Blvd, Birmingham, Alabama 35233, United States
| | - Connor M. Sheehan
- School of Social and Family Dynamics, Arizona State University, P.O. Box 873701, Tempe, Arizona 85287, United States
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Bacong AM. Heterogeneity in the Association of Citizenship Status on Self-Rated Health Among Asians in California. J Immigr Minor Health 2020; 23:121-136. [PMID: 32578010 DOI: 10.1007/s10903-020-01039-w] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
Citizenship is considered an egalitarian legal identity but may function differently among minorities because of racial/ethnic stratification and historical context. Using Asians, I examine whether the association between citizenship and self-rated health differs by ethnicity. I examine the moderating effect of Asian ethnic group (Chinese, Filipino, Korean, Vietnamese, and Other Asian) on citizenship and self-rated health using the 2012-2016 California Health Interview Survey (n = 11,084). Models account for demographics, socioeconomic status, healthcare, and English proficiency. Adjusting for demographics, naturalized citizens and non-citizens were statistically significantly more likely to report fair/poor health compared to U.S.-born citizens. Naturalized and non-citizen Vietnamese reported statistically significantly poorer health to all U.S.-born groups. These trends largely disappear when controlling for all covariates. Citizenship status can be useful in considering structural barriers for immigrants. Future work should interrogate the non-citizen category and why trends are seen among Vietnamese, but not others.
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Affiliation(s)
- Adrian Matias Bacong
- Department of Community Health Sciences, UCLA Fielding School of Public Health, 650 Charles E. Young Drive South, 36-071 CHS, Box 951772, Los Angeles, CA, 90095-1772, USA.
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Altekruse SF, Cosgrove CM, Altekruse WC, Jenkins RA, Blanco C. Socioeconomic risk factors for fatal opioid overdoses in the United States: Findings from the Mortality Disparities in American Communities Study (MDAC). PLoS One 2020; 15:e0227966. [PMID: 31951640 PMCID: PMC6968850 DOI: 10.1371/journal.pone.0227966] [Citation(s) in RCA: 123] [Impact Index Per Article: 30.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2019] [Accepted: 01/03/2020] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND Understanding relationships between individual-level demographic, socioeconomic status (SES) and U.S. opioid fatalities can inform interventions in response to this crisis. METHODS The Mortality Disparities in American Community Study (MDAC) links nearly 4 million 2008 American Community Survey responses to the 2008-2015 National Death Index. Univariate and multivariable models were used to estimate opioid overdose fatality hazard ratios (HR) and 95% confidence intervals (CI). RESULTS Opioid overdose was an overrepresented cause of death among people 10 to 59 years of age. In multivariable analysis, compared to Hispanics, Whites and American Indians/Alaska Natives had elevated risk (HR = 2.52, CI:2.21-2.88) and (HR = 1.88, CI:1.35-2.62), respectively. Compared to women, men were at-risk (HR = 1.61, CI:1.50-1.72). People who were disabled were at higher risk than those who were not (HR = 2.80, CI:2.59-3.03). Risk was higher among widowed than married (HR = 2.44, CI:2.03-2.95) and unemployed than employed individuals (HR = 2.46, CI:2.17-2.79). Compared to adults with graduate degrees, those with high school only were at-risk (HR = 2.48, CI:2.00-3.06). Citizens were more likely than noncitizens to die from this cause (HR = 4.62, CI:3.48-6.14). Compared to people who owned homes with mortgages, those who rented had higher HRs (HR = 1.36, CI:1.25-1.48). Non-rural residents had higher risk than rural residents (HR = 1.46, CI:1.34, 1.59). Compared to respective referent groups, people without health insurance (HR = 1.30, CI:1.20-1.41) and people who were incarcerated were more likely to die from opioid overdoses (HR = 2.70, CI:1.91-3.81). Compared to people living in households at least five-times above the poverty line, people who lived in poverty were more likely to die from this cause (HR = 1.36, CI:1.20-1.54). Compared to people living in West North Central states, HRs were highest among those in South Atlantic (HR = 1.29, CI:1.11, 1.50) and Mountain states (HR = 1.58, CI:1.33, 1.88). DISCUSSION Opioid fatality was associated with indicators of low SES. The findings may help to target prevention, treatment and rehabilitation efforts to vulnerable groups.
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Affiliation(s)
- Sean F. Altekruse
- Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, United States of America
- * E-mail:
| | - Candace M. Cosgrove
- Center for Administrative Records Research and Applications, U.S. Bureau of the Census, Suitland, Maryland, United States of America
| | - William C. Altekruse
- Division of Translational Research, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland, United States of America
| | - Richard A. Jenkins
- Division of Epidemiology, Services, and Prevention Research, National Institute on Drug Abuse, National Institutes of Health, Bethesda, Maryland, United States of America
| | - Carlos Blanco
- Division of Epidemiology, Services, and Prevention Research, National Institute on Drug Abuse, National Institutes of Health, Bethesda, Maryland, United States of America
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