論文の公開元へ

書き出し

Refer/BibIX

RIS

BibTeX

TSV

Association between socioeconomic status and physical inactivity in a general Japanese population: NIPPON DATA2010.

SUMIMOTO Yuka 50610698 0000-0003-4578-6214 YANAGITA Masahiko MIYAMATSU Naomi 90314145 OKUDA Nagako 80452233 0000-0002-6893-0509 NISHI Nobuo NAKAMURA Yoshikazu NAKAMURA Koshi 0000-0001-8141-7614 MIYAGAWA Naoko 20388169 0000-0002-9148-1078 MIYACHI Motohiko KADOTA Aya 60546068 0000-0001-7378-0544 OHKUBO Takayoshi 60344652 0000-0002-3283-8196 OKAMURA Tomonori 00324567 UESHIMA Hirotsugu 70144483 0000-0002-7742-4253 OKAYAMA Akira 60169159 MIURA Katsuyuki 90257452 0000-0002-2646-9582 NIPPON DATA 2010 Research Group 滋賀医科大学

2021.07.15

概要

Background:
Lower socioeconomic status (SES) may be related to inactivity lifestyle; however, the association between SES and physical inactivity has not been sufficiently investigated in Japan.
Methods:
The study population is the participants of NIPPON DATA2010, which is a prospective cohort study of the National Health and Nutrition Survey 2010 in Japan. They were residents in 300 randomly selected areas across Japan. This study included 2,609 adults. Physical activity was assessed by physical activity index (PAI) calculated from activity intensity and time. The lowest tertile of PAI for each 10-year age class and sex was defined as physical inactivity. Multivariable logistic regression analyses were conducted to examine the association of SES (employment status, educational attainment, living status, and equivalent household expenditure (EHE)) with physical inactivity.
Results:
In the distribution of PAI by age classes and sex, the highest median PAI was aged 30-39 years among men (median 38.6), aged 40-49 years among women (38.0), and median PAI was decreased with increasing age. Multivariable-adjusted model shows that not working was significantly associated with physical inactivity after adjustment for age in all age groups and sexes. Not living with spouse for adult women and elderly men was significantly associated with physical inactivity compared to those who living with spouse. However, neither educational attainment nor EHE had any significant associations with physical inactivity.
Conclusions:
The result indicated that physical inactivity was associated with SES in a general Japanese population. SES of individuals need to be considered in order to prevent inactivity lifestyle.

論文の公開元へ

この論文で使われている画像

参考文献

Lee IM, Shiroma EJ, Lobelo F, Puska P, Blair SN, Katzmarzyk PT; Lancet Physical Activity Series

Working Group. Effect of physical inactivity on major non-communicable diseases worldwide: an analysis of burden of disease and life expectancy. Lancet. 2012 Jul 21; 380(9838):219–29. https://doi.org/10.

1016/S0140-6736(12)61031-9 PMID: 22818936

World Health Organization. Noncommunicable diseases [Internet]. 2021. [Cited 2021 May 28] Available

from: https://www.who.int/health-topics/noncommunicable-diseases#tab=tab_1.

World Health Organization. Physical activity [Internet]. [Cited 2021 May 28] Available from: https://www.

who.int/news-room/fact-sheets/detail/physical-activity.

PLOS ONE | https://doi.org/10.1371/journal.pone.0254706 July 15, 2021

11 / 13

PLOS ONE

Physical inactivity by socioeconomic status

World Health Organization. Social Determinants of Health, The Solid Facts, second edition. Geneva,

2003. [Cited 2021 May 28] Available from: https://www.euro.who.int/__data/assets/pdf_file/0005/

98438/e81384.pdf.

Crespo CJ, Ainsworth BE, Keteyian SJ, Heath GW, Smit E. Prevalence of physical inactivity and its relation to social class in U.S. adults: results from the Third National Health and Nutrition Examination Survey, 1988–1994. Med Sci Sports Exerc. 1999 Dec; 31(12):1821–7. https://doi.org/10.1097/00005768199912000-00019 PMID: 10613434

Norman A, Bellocco R, Vaida F, Wolk A. Total physical activity in relation to age, body mass, health and

other factors in a cohort of Swedish men. Int J Obes Relat Metab Disord. 2002 May; 26(5):670–5.

https://doi.org/10.1038/sj.ijo.0801955 PMID: 12032752

Carlson SA, Densmore D, Fulton JE, Yore MM, Kohl HW 3rd. Differences in physical activity prevalence

and trends from 3 U.S. surveillance systems: NHIS, NHANES, and BRFSS. J Phys Act Health. 2009; 6

Suppl 1:S18–27. https://doi.org/10.1123/jpah.6.s1.s18 PMID: 19998846

Van Domelen DR, Koster A, Caserotti P, Brychta RJ, Chen KY, McClain JJ, et al. Employment and

physical activity in the U.S. Am J Prev Med. 2011 Aug; 41(2):136–45. https://doi.org/10.1016/j.amepre.

2011.03.019 PMID: 21767720

Nishi N, Makino K, Fukuda H, Tatara K. Effects of socioeconomic indicators on coronary risk factors,

self-rated health and psychological well-being among urban Japanese civil servants. Soc Sci Med.

2004 Mar; 58(6):1159–70. https://doi.org/10.1016/s0277-9536(03)00287-9 PMID: 14723910

10.

Takao S, Kawakami N, Ohtsu T; Japan Work Stress and Health Cohort Study Group. Occupational

class and physical activity among Japanese employees. Soc Sci Med. 2003 Dec; 57(12):2281–9.

https://doi.org/10.1016/s0277-9536(03)00134-5 PMID: 14572837

11.

Fukuda Y, Nakamura K, Takano T. Accumulation of health risk behaviours is associated with lower

socioeconomic status and women’s urban residence: a multilevel analysis in Japan. BMC Public Health.

2005 May 27; 5:53. https://doi.org/10.1186/1471-2458-5-53 PMID: 15921512

12.

Shibata A, Oka K, Nakamura Y, Muraoka I. Prevalence and demographic correlates of meeting the

physical activity recommendation among Japanese adults. J Phys Act Health. 2009 Jan; 6(1):24–32.

https://doi.org/10.1123/jpah.6.1.24 PMID: 19211955

13.

Liao Y, Harada K, Shibata A, Ishii K, Oka K, Nakamura Y, et al. Association of self-reported physical

activity patterns and socio-demographic factors among normal-weight and overweight Japanese men.

BMC Public Health. 2012 May 21; 12:278. https://doi.org/10.1186/1471-2458-12-278 PMID: 22490124

14.

Sakaue A, Adachi H, Enomoto M, Fukami A, Kumagai E, Nakamura S, et al. Association between physical activity, occupational sitting time and mortality in a general population: An 18-year prospective survey in Tanushimaru, Japan. Eur J Prev Cardiol. 2020 May; 27(7):758–766. https://doi.org/10.1177/

2047487318810020 PMID: 30396293

15.

Kikuchi H, Inoue S, Lee IM, Odagiri Y, Sawada N, Inoue M, et al. Impact of Moderate-Intensity and Vigorous-Intensity Physical Activity on Mortality. Med Sci Sports Exerc. 2018 Apr; 50(4):715–721. https://

doi.org/10.1249/MSS.0000000000001463 PMID: 29053480

16.

Matsushita M, Harada K, Arao T. Socioeconomic position and work, travel, and recreation-related physical activity in Japanese adults: a cross-sectional study. BMC Public Health. 2015 Sep 18; 15:916.

https://doi.org/10.1186/s12889-015-2226-z PMID: 26385476

17.

Beenackers MA, Kamphuis CB, Giskes K, Brug J, Kunst AE, Burdorf A, et al. Socioeconomic inequalities in occupational, leisure-time, and transport related physical activity among European adults: a systematic review. Int J Behav Nutr Phys Act. 2012 Sep 19; 9:116. https://doi.org/10.1186/1479-5868-9116 PMID: 22992350

18.

Kagamimori S, Gaina A, Nasermoaddeli A. Socioeconomic status and health in the Japanese population. Soc Sci Med. 2009 Jun; 68(12):2152–60. https://doi.org/10.1016/j.socscimed.2009.03.030 Epub

2009 Apr 16. PMID: 19375838

19.

Kadota A, Okuda N, Ohkubo T, Okamura T, Nishi N, Ueshima H, et al. The National Integrated Project

for Prospective Observation of Non-communicable Disease and its Trends in the Aged 2010 (NIPPON

DATA2010): Objectives, Design, and Population Characteristics. J Epidemiol. 2018; 28 Suppl 3(Suppl

3):S2–S9. https://doi.org/10.2188/jea.JE20170240 PMID: 29503381

20.

Kannel WB, Sorlie P. Some health benefits of physical activity. The Framingham Study. Arch Intern

Med. 1979 Aug; 139(8):857–61. PMID: 464698

21.

Jonker JT, De Laet C, Franco OH, Peeters A, Mackenbach J, Nusselder WJ. Physical activity and life

expectancy with and without diabetes: life table analysis of the Framingham Heart Study. Diabetes

Care. 2006 Jan; 29(1):38–43. https://doi.org/10.2337/diacare.29.01.06.dc05-0985 PMID: 16373893

22.

Ballard-Barbash R, Schatzkin A, Albanes D, Schiffman MH, Kreger BE, Kannel WB, et al. Physical

activity and risk of large bowel cancer in the Framingham Study. Cancer Res. 1990 Jun 15; 50

(12):3610–3. PMID: 2340509.

PLOS ONE | https://doi.org/10.1371/journal.pone.0254706 July 15, 2021

12 / 13

PLOS ONE

Physical inactivity by socioeconomic status

23.

Al-Tannir M, Kobrosly S, Itani T, El-Rajab M, Tannir S. Prevalence of physical activity among Lebanese

adults: a cross-sectional study. J Phys Act Health. 2009 May; 6(3):315–20. https://doi.org/10.1123/

jpah.6.3.315 PMID: 19564659

24.

Ying C, Kuay LK, Huey TC, Hock LK, Hamid HA, Omar MA, et al. Prevalence and factors associated

with physical inactivity among Malaysian adults. Southeast Asian J Trop Med Public Health. 2014 Mar;

45(2):467–80. PMID: 24968689

25.

Newtonraj A, Murugan N, Singh Z, Chauhan RC, Velavan A, Mani M. Factors Associated with Physical

Inactivity among Adult Urban Population of Puducherry, India: A Population Based Cross-sectional

Study. J Clin Diagn Res. 2017 May; 11(5):LC15–LC17. https://doi.org/10.7860/JCDR/2017/24028.

9853 Epub 2017 May 1. PMID: 28658812

26.

Touvier M, Bertrais S, Charreire H, Vergnaud AC, Hercberg S, Oppert JM. Changes in leisure-time physical activity and sedentary behaviour at retirement: a prospective study in middle-aged French subjects.

Int J Behav Nutr Phys Act. 2010 Feb 4; 7:14. https://doi.org/10.1186/1479-5868-7-14 PMID: 20181088

27.

Suorsa K, Pulakka A, Leskinen T, Heinonen I, Heinonen OJ, Pentti J, et al. Objectively Measured Sedentary Time Before and After Transition to Retirement: The Finnish Retirement and Aging Study. J Gerontol A Biol Sci Med Sci. 2020 Sep 16; 75(9):1737–1743. https://doi.org/10.1093/gerona/glz127 PMID:

31095675

28.

Yonemoto K, Honda T, Kishimoto H, Yoshida D, Hata J, Mukai N, et al. Longitudinal Changes of Physical Activity and Sedentary Time in the Middle-Aged and Older Japanese Population: The Hisayama

Study. J Phys Act Health. 2019 Feb 1; 16(2):165–171. https://doi.org/10.1123/jpah.2017-0701 Epub

2019 Jan 11. PMID: 30634879

29.

Bell S, Lee C. Emerging adulthood and patterns of physical activity among young Australian women. Int

J Behav Med. 2005; 12(4):227–35. https://doi.org/10.1207/s15327558ijbm1204_3 PMID: 16262541

30.

Hallal PC, Victora CG, Wells JC, Lima RC. Physical inactivity: prevalence and associated variables in

Brazilian adults. Med Sci Sports Exerc. 2003 Nov; 35(11):1894–900. https://doi.org/10.1249/01.MSS.

0000093615.33774.0E PMID: 14600556

31.

Oyeyemi AL, Oyeyemi AY, Jidda ZA, Babagana F. Prevalence of physical activity among adults in a

metropolitan Nigerian city: a cross-sectional study. J Epidemiol. 2013; 23(3):169–77. https://doi.org/10.

2188/jea.je20120116 Epub 2013 Apr 20. PMID: 23604060

32.

Cabinet Office. Economic and Social Research Institute, Tokyo, 2009. [Cited 2021 May 28] Available

from: https://www.esri.go.jp/jp/prj/hou/hou050/hou50_03_02.pdf (in Japanese).

33.

Umberson D. Gender, marital status and the social control of health behavior. Soc Sci Med. 1992 Apr;

34(8):907–17. https://doi.org/10.1016/0277-9536(92)90259-s PMID: 1604380

34.

Eng PM, Kawachi I, Fitzmaurice G, Rimm EB. Effects of marital transitions on changes in dietary and

other health behaviours in US male health professionals. J Epidemiol Community Health. 2005 Jan; 59

(1):56–62. https://doi.org/10.1136/jech.2004.020073 PMID: 15598728

35.

Ikeda A, Iso H, Toyoshima H, Fujino Y, Mizoue T, Yoshimura T, et al.; JACC Study Group. Marital status

and mortality among Japanese men and women: the Japan Collaborative Cohort Study. BMC Public

Health. 2007 May 7; 7:73. https://doi.org/10.1186/1471-2458-7-73 PMID: 17484786

36.

Jang SN, Kawachi I, Chang J, Boo K, Shin HG, Lee H, et al. Marital status, gender, and depression:

analysis of the baseline survey of the Korean Longitudinal Study of Ageing (KLoSA). Soc Sci Med. 2009

Dec; 69(11):1608–15. https://doi.org/10.1016/j.socscimed.2009.09.007 Epub 2009 Oct 12. PMID:

19819601

37.

Vinther JL, Conklin AI, Wareham NJ, Monsivais P. Marital transitions and associated changes in fruit

and vegetable intake: Findings from the population-based prospective EPIC-Norfolk cohort, UK. Soc

Sci Med. 2016 May; 157:120–6. https://doi.org/10.1016/j.socscimed.2016.04.004 Epub 2016 Apr 6.

PMID: 27082023

38.

Cabinet Office. International Comparison Survey of the Daily Life and Attitudes of Elderly Persons in

2010. Tokyo, 2010. [Cited 2021 May 28] Available from: https://www8.cao.go.jp/kourei/ishiki/h22/kiso/

gaiyo/pdf/kekka.pdf (in Japanese).

39.

Hawkley LC, Thisted RA, Cacioppo JT. Loneliness predicts reduced physical activity: cross-sectional &

longitudinal analyses. Health Psychol. 2009 May; 28(3):354–63. https://doi.org/10.1037/a0014400

PMID: 19450042

40.

Seino S, Kitamura A, Nishi M, Tomine Y, Tanaka I, Taniguchi Y, et al. Individual- and community-level

neighbor relationships and physical activity among older Japanese adults living in a metropolitan area:

a cross-sectional multilevel analysis. Int J Behav Nutr Phys Act. 2018 May 25; 15(1):46. https://doi.org/

10.1186/s12966-018-0679-z PMID: 29801456

41.

Dwyer LA, Patel M, Nebeling LC, Oh AY. Independent Associations and Interactions of Perceived

Neighborhood and Psychosocial Constructs on Adults’ Physical Activity. J Phys Act Health. 2018 May

1; 15(5):361–368. https://doi.org/10.1123/jpah.2017-0202 Epub 2018 Mar 23. PMID: 29569999

PLOS ONE | https://doi.org/10.1371/journal.pone.0254706 July 15, 2021

13 / 13

...

参考文献をもっと見る

分野

大学

学位論文種類・取得年

言語

Association between socioeconomic status and physical inactivity in a general Japanese population: NIPPON DATA2010.

概要

この論文で使われている画像

関連論文

Age and sex differences in factors associated with hypertension among an urban poor population in Bangladesh

Community social capital and the onset of functional disability among older adults in Japan : a multilevel longitudinal study using Japan Gerontological Evaluation Study (JAGES) data<Abstract of dissertation>

Factors Associated With Prediabetes and Diabetes Among Public Employees in Northern Ethiopia

Effect of diabetes and prediabetes on the development of disability and mortality among middle-aged Japanese adults : A 22-year follow up of NIPPON DATA90.

Relationship of higher-level functional capacity with long-term mortality in Japanese older people: NIPPON DATA90

参考文献

分野

大学

学位論文種類・取得年

言語

コピーが完了しました

URLをコピーしました

Association between socioeconomic status and physical inactivity in a general Japanese population: NIPPON DATA2010.

概要

この論文で使われている画像

関連論文

Age and sex differences in factors associated with hypertension among an urban poor population in Bangladesh

Community social capital and the onset of functional disability among older adults in Japan : a multilevel longitudinal study using Japan Gerontological Evaluation Study (JAGES) data<Abstract of dissertation>

Factors Associated With Prediabetes and Diabetes Among Public Employees in Northern Ethiopia

Effect of diabetes and prediabetes on the development of disability and mortality among middle-aged Japanese adults : A 22-year follow up of NIPPON DATA90.

Relationship of higher-level functional capacity with long-term mortality in Japanese older people: NIPPON DATA90

参考文献