Association between housing tenure and self-rated health in Japan: Findings from a nationwide cross-sectional survey
Autoři:
Kimiko Tomioka aff001; Norio Kurumatani aff001; Keigo Saeki aff001
Působiště autorů:
Nara Prefectural Health Research Center, Nara Medical University, Kashihara, Nara, Japan
aff001
Vyšlo v časopise:
PLoS ONE 14(11)
Kategorie:
Research Article
prolekare.web.journal.doi_sk:
https://doi.org/10.1371/journal.pone.0224821
Souhrn
Background
Many studies have reported that housing tenure (HT) is associated with health, but little is known about its association in Japan. We investigated the cross-sectional association between HT and self-rated health (SRH) among Japanese adults, taking demographic characteristics and socioeconomic status (SES) into consideration.
Methods
We used data from a nationally representative survey conducted by the Japanese Ministry of Health, Labour and Welfare (28,641 men and 31,143 women aged ≥20 years). HT was divided into five categories: owner-occupied, privately rented, provided housing, publically subsidized, and rented rooms. SRH was evaluated using a single-item inventory and dichotomized into poor (very poor/poor) and good (very good/good/fair). We calculated adjusted odds ratios (OR) and their 95% confidence intervals (CI) for poor SRH with logistic regression models. Covariates included demographic factors (i.e., age, gender, marital status, family size, smoking status, and chronic medical conditions) and SES factors (i.e., education, equivalent household expenditures, and occupation).
Results
Among analyzed participants, 75.9% were owner-occupiers and 14.6% reported poor SRH. After adjustment for all covariates, compared with owner-occupiers, private renters (OR = 1.36, 95% CI = 1.26–1.47), publically subsidized renters (OR = 1.33, 95% CI = 1.19–1.48), and residents in rented rooms (OR = 1.41, 95% CI = 1.22–1.62) were more likely to report poor SRH. Stratified analyses by SES factors showed that the association between HT and poor SRH was stronger in the socially disadvantaged than in the higher socioeconomic group.
Conclusions
Our results show a significant association between HT and SRH, independent of socio-demographic factors. HT may deserve greater attention as an indicator of socioeconomic position in Japan.
Klíčová slova:
Professions – Socioeconomic aspects of health – Activities of daily living – Elderly – Behavioral and social aspects of health – Medical education – Housing – Japan
Zdroje
1. Gibson M, Petticrew M, Bambra C, Sowden AJ, Wright KE, Whitehead M. Housing and health inequalities: a synthesis of systematic reviews of interventions aimed at different pathways linking housing and health. Health Place. 2011;17:175–184. doi: 10.1016/j.healthplace.2010.09.011 21159542
2. Laaksonen M, Martikainen P, Nihtila E, Rahkonen O, Lahelma E. Home ownership and mortality: a register-based follow-up study of 300,000 Finns. J Epidemiol Community Health. 2008;62:293–297. doi: 10.1136/jech.2007.061309 18339820
3. WHO Housing and health guidelines. Geneva: World Health Organization; 2018. License: CC BY-NC-SA 3.0 IGO.
4. Dunn JR. Housing and inequalities in health: a study of socioeconomic dimensions of housing and self reported health from a survey of Vancouver residents. J Epidemiol Community Health. 2002;56:671–681. doi: 10.1136/jech.56.9.671 12177083
5. Ellaway A, Macdonald L, Kearns A. Are housing tenure and car access still associated with health? A repeat cross-sectional study of UK adults over a 13-year period. BMJ Open. 2016;6:e012268. doi: 10.1136/bmjopen-2016-012268 27807086
6. Macintyre S, Ellaway A, Der G, Ford G, Hunt K. Do housing tenure and car access predict health because they are simply markers of income or self esteem? A Scottish study. J. Epidemiol Community Health. 1998;52:657–664. doi: 10.1136/jech.52.10.657 10023466
7. Macintyre S, Hiscock R, Kearns A, Ellaway A. Housing tenure and car access: further exploration of the nature of their relations with health in a UK setting. J Epidemiol Community Health. 2001;55:330–331. doi: 10.1136/jech.55.5.330 11297651
8. Pevalin DJ, Reeves A, Baker E, Bentley R. The impact of persistent poor housing conditions on mental health: A longitudinal population-based study. Prev Med. 2017;105:304–310. doi: 10.1016/j.ypmed.2017.09.020 28963007
9. Pierse N, Carter K, Bierre S, Law D, Howden-Chapman P. Examining the role of tenure, household crowding and housing affordability on psychological distress, using longitudinal data. J Epidemiol Community Health. 2016;70:961–966. doi: 10.1136/jech-2015-206716 27154181
10. Pollack CE, von dem Knesebeck O, Siegrist J. Housing and health in Germany. J Epidemiol Community Health. 2004;58:216–222. doi: 10.1136/jech.2003.012781 14966234
11. Schaap MM, van Agt HM, Kunst AE. Identification of socioeconomic groups at increased risk for smoking in European countries: looking beyond educational level. Nicotine Tob Res. 2008;10:359–369. doi: 10.1080/14622200701825098 18236301
12. Seng JJB, Kwan YH, Goh H, Thumboo J, Low LL. Public rental housing and its association with mortality–a retrospective, cohort study. BMC Public Health. 2018;18:665. doi: 10.1186/s12889-018-5583-6 29843652
13. Braveman PA, Cubbin C, Egerter S, Chideya S, Marchi KS, Metzler M, et al. Socioeconomic status in health research: One size does not fit all. JAMA. 2005;294:2879–2888. doi: 10.1001/jama.294.22.2879 16352796
14. OECD Society at a Glance 2019: OECD Social Indicators. Paris, France: OECD Publishing, 2019.
15. OECD Society at a Glance 2014: OECD Social Indicators. Paris, France: OECD Publishing, 2014.
16. Tomioka K, Kurumatani K, Hosoi H. Association between stairs in the home and instrumental activities of daily living among community-dwelling older adults. BMC Geriatrics. 2018;18:132. doi: 10.1186/s12877-018-0830-3 29898678
17. Liu J, Luo Y, Haller W, Vander Mey B, Granberg E. Neighborhood environments and self-rated health in Mainland China, Japan and South Korea. PLoS One. 2018;13:e0204910. doi: 10.1371/journal.pone.0204910 30261047
18. Loo BP, Lam WW, Mahendran R, Katagiri K. How Is the Neighborhood Environment Related to the Health of Seniors Living in Hong Kong, Singapore, and Tokyo? Some Insights for Promoting Aging in Place. Ann Am Assoc Geogr. 2017;107:812–828.
19. Mavaddat N, Kinmonth AL, Sanderson S, Surtees P, Bingham S, Khaw KT. What determines self-rated health (SRH)? A cross-sectional study of SF-36 health domains in the EPIC-Norfolk cohort. J Epidemiol Community Health. 2011;65: 800–806. doi: 10.1136/jech.2009.090845 20551149
20. OECD Society at a Glance 2014: OECD Social Indicators. Paris, France: OECD Publishing, 2014.
21. DeSalvo KB, Bloser N, Reynolds K, He J, Muntner P. Mortality prediction with a single general self-rated health question. A meta-analysis. J Gen Intern Med. 2006;21:267–275. doi: 10.1111/j.1525-1497.2005.00291.x 16336622
22. Vie TL, Hufthammer KO, Meland E, Breidablik HJ. Self-rated health (SRH) in young people and causes of death and mortality in young adulthood. A prospective registry-based Norwegian HUNT-study. SSM Popul Health. 2019;7:100364. doi: 10.1016/j.ssmph.2019.100364 30723772
23. Tomioka K, Kurumatani N, Hosoi H. Self-rated health predicts decline in instrumental activities of daily living among high-functioning community-dwelling older people. Age Ageing. 2017;46:265–270. doi: 10.1093/ageing/afw164 27614076
24. Tomioka K, Kurumatani N, Saeki K. The Association Between Education and Smoking Prevalence, Independent of Occupation: A Nationally Representative Survey in Japan. J Epidemiol. 2019 Mar 2. doi: 10.2188/jea.JE20180195 [Epub ahead of print] 30828035
25. Ministry of Health, Labour and Welfare Japan. Comprehensive Survey of Living Conditions. https://www.mhlw.go.jp/toukei/list/20-21tyousa.html#anchor13 (accessed 1st April 2019).
26. Fukuda Y, Nakao H, Imai H. Different income information as an indicator for health inequality among Japanese adults. J Epidemiol. 2007;17:93–99. doi: 10.2188/jea.17.93 17545696
27. Iwase T, Suzuki E, Fujiwara T, Takao S, Doi H, Kawachi I. Do bonding and bridging social capital have differential effects on self-rated health? A community based study in Japan. J Epidemiol Community Health. 2012;66:557–562. doi: 10.1136/jech.2010.115592 21172798
28. Ota A, Yatsuya H, Nishi N, Okuda N, Ohkubo T, Hayakawa T, et al. Relationships among Socioeconomic Factors and Self-rated Health in Japanese Adults: NIPPON DATA2010. J Epidemiol. 2018;28:S66–S72. doi: 10.2188/jea.JE20170246 29503389
29. Hennessy CH, Moriarty DG, Zack MM, Scherr PA, Brackbill R. Measuring health-related quality of life for public health surveillance. Public Health Rep. 1994;109:665–672. 7938388
30. Singh-Manoux A, Martikainen P, Ferrie J, Zins M, Marmot M, Goldberg M. What does self rated health measure? Results from the British Whitehall II and French Gazel cohort studies. J Epidemiol Community Health. 2006;60:364–372. doi: 10.1136/jech.2005.039883 16537356
31. Shishido K, Iwai N, Yasuda T. Designing response categories of agreement scales for cross-national surveys in East Asia: the approach of the Japanese General Social Surveys. Int J Jap Sociol. 2009;18:97–111.
32. Ministry of Internal Affairs and Communications Japan. Japan Standard Occupational Classification. http://www.soumu.go.jp/english/dgpp_ss/seido/shokgyou/index-co.htm (accessed 1st April 2019).
33. Salonen L, Blomgren J, Laaksonen M, Niemelä M. Sickness absence as a predictor of disability retirement in different occupational classes: a register-based study of a working-age cohort in Finland in 2007–2014. BMJ Open. 2018;8:e020491. doi: 10.1136/bmjopen-2017-020491 29743328
34. White IR, Thompson SG. Adjusting for partially missing baseline measurements in randomized trials. Stat Med. 2005;24:993–1007. doi: 10.1002/sim.1981 15570623
35. Darlington-Pollock F, Norman P. Examining ethnic inequalities in health and tenure in England: A repeated cross-sectional analysis. Health Place. 2017;46:82–90. doi: 10.1016/j.healthplace.2017.04.011 28511084
36. Thomson H, Thomas S, Sellstrom E, Petticrew M. Housing improvements for health and associated socio-economic outcomes. Cochrane Database Syst Rev. 2013;2:CD008657.
37. Parliamentary Office of Science and Technology. UK. Housing and Health. Postnote 2011;371:1–4.
38. Saeki K, Obayashi K, Iwamoto J, Tone N, Okamoto N, Tomioka K, et al. Stronger association of indoor temperature than outdoor temperature with blood pressure in colder months. J Hypertens. 2014;32:1582–589. doi: 10.1097/HJH.0000000000000232 24937638
39. Nightingale CM, Rudnicka AR, Ram B, Shankar A, Limb ES, Procter D, et al. Housing, neighbourhood and sociodemographic associations with adult levels of physical activity and adiposity: baseline findings from the ENABLE London study. BMJ Open. 2018;8:e021257. doi: 10.1136/bmjopen-2017-021257 30121597
40. Imamura H, Kogure M, Kita Y, Nakagawa H, Hozawa A, Okamura T, et al. Factors Related to Participation in Health Examinations for Japanese National Health Insurance: NIPPON DATA2010. J Epidemiol. 2018;28:S53–S58. doi: 10.2188/jea.JE20170251 29503387
41. Doyle S, Kelly-Schwartz A, Schlossberg M, Stockard J. Active community environments and health: the relationship of walkable and safe communities to individual health. J Am Plann Assoc. 2006; 72:19–31.
42. Lee J-A, Park J, Kim M. Social and physical environments and self-rated health in urban and rural communities in Korea. Int J Env Res Public Health. 2015; 12:14329–14341.
43. Sallis JF, Saelens BE, Frank LD, Conway TL, Slymen DJ, Cain KL, et al. Neighborhood built environment and income: examining multiple health outcomes. Soc Sci Med. 2009; 68:1285–1293. doi: 10.1016/j.socscimed.2009.01.017 19232809
44. Takano T, Nakamura K, Watanabe M. Urban residential environments and senior citizens' longevity in megacity areas: the importance of walkable green spaces. J Epidemiol Community Health. 2002; 56:913–918. doi: 10.1136/jech.56.12.913 12461111
45. Smith S. Explaining the link between housing and health: all or nothing? Housing Theory Soc. 2012;29:40–46.
46. Podsakoff PM, MacKenzie SB, Lee JY, Podsakoff NP. Common method biases in behavioral research: a critical review of the literature and recommended remedies. J Appl Psychol. 2003;88:879–903. doi: 10.1037/0021-9010.88.5.879 14516251
47. Ministry of Health, Labour and Welfare Japan. Health Japan 21 (the second term). https://www.mhlw.go.jp/stf/seisakunitsuite/bunya/kenkou_iryou/kenkou/kenkounippon21.html (accessed 1st April 2019).
Článok vyšiel v časopise
PLOS One
2019 Číslo 11
- Metamizol jako analgetikum první volby: kdy, pro koho, jak a proč?
- Nejasný stín na plicích – kazuistika
- Masturbační chování žen v ČR − dotazníková studie
- Úspěšná resuscitativní thorakotomie v přednemocniční neodkladné péči
- Dlouhodobá recidiva a komplikace spojené s elektivní operací břišní kýly
Najčítanejšie v tomto čísle
- A daily diary study on maladaptive daydreaming, mind wandering, and sleep disturbances: Examining within-person and between-persons relations
- A 3’ UTR SNP rs885863, a cis-eQTL for the circadian gene VIPR2 and lincRNA 689, is associated with opioid addiction
- A substitution mutation in a conserved domain of mammalian acetate-dependent acetyl CoA synthetase 2 results in destabilized protein and impaired HIF-2 signaling
- Molecular validation of clinical Pantoea isolates identified by MALDI-TOF