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International Journal of Public Health

Erschienen in:

30.06.2018 | Original Article

Association between objectively measured built environments and adult physical activity in Gyeonggi province, Korea

verfasst von: Eun Young Lee, Sugie Lee, Bo Youl Choi

Erschienen in: International Journal of Public Health | Ausgabe 9/2018

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Abstract

Objectives

In the present study, the association between objectively measured built environments and physical activity (PA) was examined.

Methods

Data were obtained from the Korean Community Health Survey (KCHS). A total of 82,419 individuals living in 546 neighborhoods of Gyeonggi province were analyzed. Built environments were measured by geographic information systems (GIS) using Korean government databases. PA was assessed using the IPAQ—short form. Multilevel logistic regression was performed.

Results

Living in a community with a short distance to parks was associated with a 42% increased odds of PA; living in a community with low population density was associated with a 21% decreased odds of PA. However, most variations in PA were attributed to individual factors. Additionally, gender-specific correlates associated with PA were observed.

Conclusions

Although the associations of individual factors with PA were stronger than of community factors, notably, built environments influenced most people in a community. Therefore, along with health education and service, policy makers and planners should consider more parks in less populated areas to create a supportive environment for PA.

Adams MA, Todd M, Kurka J et al (2015) Patterns of walkability, transit, and recreation environment for physical activity. Am J Prev Med 49:878–887. https://doi.org/10.1016/j.amepre.2015.05.024 CrossRefPubMedPubMedCentral

Bauman AE, Reis RS, Sallis JF et al (2012) Correlates of physical activity: Why are some people physically active and others not? Lancet 380:258–271. https://doi.org/10.1016/S0140-6736(12)60735-1 CrossRefPubMed

Burke NJ, Bird JA, Clark MA et al (2009) Social and cultural meanings of self-efficacy. Health Educ Behav 36:111S–128S. https://doi.org/10.1177/1090198109338916 CrossRefPubMedPubMedCentral

Christiansen LB, Cerin E, Badland H et al (2016) International comparisons of the associations between objective measures of the built environment and transport-related walking and cycling: IPEN adult. Study J Transp Health 3:467–478. https://doi.org/10.1016/j.jth.2016.02.010 CrossRefPubMed

Cohen DA, Ashwood JS, Scott MM et al (2006) Public parks and physical activity among adolescent girls. Pediatrics 118:e1381–e1389. https://doi.org/10.1542/peds.2006-1226 CrossRefPubMed

Conn VS, Hafdahl AR, Mehr DR (2011) Interventions to increase physical activity among healthy adults: meta-analysis of outcomes. Am J Public Health 101:751–758. https://doi.org/10.2105/AJPH.2010.194381 CrossRefPubMedPubMedCentral

Coombes E, Jones AP, Hillsdon M (2010) The relationship of physical activity and overweight to objectively measured green space accessibility and use. Soc Sci Med 70:816–822. https://doi.org/10.1016/j.socscimed.2009.11.020 CrossRefPubMed

Day K (2016) Built environmental correlates of physical activity in China: a review. Prev Med Rep 3:303–316. https://doi.org/10.1016/j.pmedr.2016.03.007 CrossRefPubMedPubMedCentral

de Sa E, Ardern CI (2014) Associations between the built environment, total, recreational, and transit-related physical activity. BMC Public Health 14:693. https://doi.org/10.1186/1471-2458-14-693 CrossRefPubMedPubMedCentral

Diez Roux AV, Mair C (2010) Neighborhoods and health. Ann N Y Acad Sci 1186:125–145. https://doi.org/10.1111/j.1749-6632.2009.05333.x CrossRefPubMed

Ding D, Lawson KD, Kolbe-Alexander TL et al (2016) The economic burden of physical inactivity: a global analysis of major non-communicable diseases. Lancet 388:1311–1324. https://doi.org/10.1016/S0140-6736(16)30383-X CrossRefPubMed

Frank LD, Pivo G (1994) Relationship between land use and travel behavior in the Puget sound region. Washington State Department of Transportation, Washington, DC

Frank LD, Andresen MA, Schmid TL (2004) Obesity relationships with community design, physical activity, and time spent in cars. Am J Prev Med 27:87–96. https://doi.org/10.1016/j.amepre.2004.04.011 CrossRefPubMed

Grasser G, Van Dyck D, Titze S et al (2013) Objectively measured walkability and active transport and weight-related outcomes in adults: a systematic review. Int J Public Health 58:615–625. https://doi.org/10.1007/s00038-012-0435-0 CrossRefPubMed

Gyeonggi (2017) Introduction to Gyeonggi. http://english.gg.go.kr/. Accessed 25 Jan 2017

Hajna S, Ross NA, Brazeau AS et al (2015) Associations between neighbourhood walkability and daily steps in adults: a systematic review and meta-analysis. BMC Public Health 15:768. https://doi.org/10.1186/s12889-015-2082-x CrossRefPubMedPubMedCentral

Hallal PC, Andersen LB, Bull FC et al (2012) Global physical activity levels: surveillance progress, pitfalls, and prospects. Lancet 380:247–257. https://doi.org/10.1016/S0140-6736(12)60646-1 CrossRefPubMed

Hart PD, Benavidez G, Erickson J (2017) Meeting recommended levels of physical activity in relation to preventive health behavior and health status among adults. J Prev Med Public Health 50:10–17. https://doi.org/10.3961/jpmph.16.080 CrossRefPubMed

IPAQ (2005) Guidelines for data processing and analysis of the international physical acitvity questionnaire (IPAQ): short and long forms. https://sites.google.com/site/theipaq/scoring-protocol. Accessed 25 Jan 2017

Kaczynski AT, Besenyi GM, Stanis SA et al (2014) Are park proximity and park features related to park use and park-based physical activity among adults? Variations by multiple socio-demographic characteristics. Int J Behav Nutr Phys Act 11:146. https://doi.org/10.1186/s12966-014-0146-4 CrossRefPubMedPubMedCentral

Kang YW, Ko YS, Kim YJ et al (2015) Korea Community Health Survey data profiles. Osong Public Health Res Perspect 6:211–217. https://doi.org/10.1016/j.phrp.2015.05.003 CrossRefPubMedPubMedCentral

Kent J, Thompson S (2014) The three domains of urban planning for health and well-being. J Plan Lit 29:239–256CrossRef

Kim K (2010) The geography of Korea. National Geographic Information Institute, Ministry of Land, Transport and Martitime Affairs, Suwon

Kohl HW, Craig CL, Lambert EV et al (2012) The pandemic of physical inactivity: global action for public health. Lancet 380:294–305. https://doi.org/10.1016/S0140-6736(12)60898-8 CrossRefPubMed

Lee PH, Macfarlane DJ, Lam TH et al (2011) Validity of the international physical activity questionnaire short form (IPAQ-SF): a systematic review. Int J Behav Nutr Phys Act 8:115. https://doi.org/10.1186/1479-5868-8-115 CrossRefPubMedPubMedCentral

Lee IM, Shiroma EJ, Lobelo F et al (2012) Effect of physical inactivity on major non-communicable diseases worldwide: an analysis of burden of disease and life expectancy. Lancet 380:219–229. https://doi.org/10.1016/S0140-6736(12)61031-9 CrossRefPubMedPubMedCentral

Mama SK, Diamond PM, McCurdy SA et al (2015) Individual, social and environmental correlates of physical activity in overweight and obese African American and Hispanic women: a structural equation model analysis. Prev Med Rep 2:57–64. https://doi.org/10.1016/j.pmedr.2015.01.001 CrossRefPubMedPubMedCentral

Merlo J, Chaix B, Ohlsson H et al (2006) A brief conceptual tutorial of multilevel analysis in social epidemiology: using measures of clustering in multilevel logistic regression to investigate contextual phenomena. J Epidemiol Community Health 60:290–297. https://doi.org/10.1136/jech.2004.029454 CrossRefPubMedPubMedCentral

Ministry of the Interior and Safety (2017) Local government: administrative area and population. Ministry of the Interior and Safety, Seoul

Piazza-Gardner AK, Barry AE (2012) Examining physical activity levels and alcohol consumption: Are people who drink more active? Am J Health Promot 26:e95–e104. https://doi.org/10.4278/ajhp.100929-LIT-328 CrossRefPubMed

Ribeiro AI, Mitchell R, Carvalho MS et al (2013) Physical activity-friendly neighbourhood among older adults from a medium size urban setting in Southern Europe. Prev Med 57:664–670. https://doi.org/10.1016/j.ypmed.2013.08.033 CrossRefPubMed

Ribeiro AI, Pires A, Ms Carvalho et al (2015) Distance to parks and non-residential destinations influences physical activity of older people, but crime doesn’t: a cross-sectional study in a southern European city. BMC Public Health 15:593. https://doi.org/10.1186/s12889-015-1879-y CrossRefPubMedPubMedCentral

Saelens BE, Sallis JF, Frank LD (2003) Environmental correlates of walking and cycling: findings from the transportation, urban design, and planning literatures. Ann Behav Med 25:80–91CrossRefPubMed

Sallis JF, Bowles HR, Bauman A et al (2009) Neighborhood environments and physical activity among adults in 11 countries. Am J Prev Med 36:484–490. https://doi.org/10.1016/j.amepre.2009.01.031 CrossRefPubMed

Sallis JF, Floyd MF, Rodriguez DA et al (2012) Role of built environments in physical activity, obesity, and cardiovascular disease. Circulation 125:729–737. https://doi.org/10.1161/CIRCULATIONAHA.110.969022 CrossRefPubMedPubMedCentral

Sallis JF, Cerin E, Conway TL et al (2016) Physical activity in relation to urban environments in 14 cities worldwide: a cross-sectional study. Lancet 387:2207–2217. https://doi.org/10.1016/S0140-6736(15)01284-2 CrossRefPubMed

Serrano-Sanchez JA, Lera-Navarro A, Dorado-Garcia C et al (2012) Contribution of individual and environmental factors to physical activity level among Spanish adults. PLoS ONE 7:e38693. https://doi.org/10.1371/journal.pone.0038693 CrossRefPubMedPubMedCentral

Solomon E, Rees T, Ukoumunne OC et al (2013) Personal, social, and environmental correlates of physical activity in adults living in rural south-west England: a cross-sectional analysis. Int J Behav Nutr Phys Act 10:129. https://doi.org/10.1186/1479-5868-10-129 CrossRefPubMedPubMedCentral

Stafford M, Cummins S, Macintyre S et al (2005) Gender differences in the associations between health and neighbourhood environment. Soc Sci Med 60:1681–1692. https://doi.org/10.1016/j.socscimed.2004.08.028 CrossRefPubMed

Tran BT, Jeong BY, Oh JK (2017) The prevalence trend of metabolic syndrome and its components and risk factors in Korean adults: results from the Korean National Health and Nutrition Examination Survey 2008–2013. BMC Public Health 17:71. https://doi.org/10.1186/s12889-016-3936-6 CrossRefPubMedPubMedCentral

Van Dyck D, Cerin E, Conway TL et al (2013) Perceived neighborhood environmental attributes associated with adults’ leisure-time physical activity: findings from Belgium, Australia and the USA. Health Place 19:59–68. https://doi.org/10.1016/j.healthplace.2012.09.017 CrossRefPubMed

Watts P, Phillips G, Petticrew M et al (2013) Physical activity in deprived communities in London: examining individual and neighbourhood-level factors. PLoS ONE 8:e69472. https://doi.org/10.1371/journal.pone.0069472 CrossRefPubMedPubMedCentral

WHO (2010) Global recommendations on physical activity for health. WHO, Geneva

Witten K, Blakely T, Bagheri N et al (2012) Neighborhood built environment and transport and leisure physical activity: findings using objective exposure and outcome measures in New Zealand. Environ Health Perspect 120:971–977. https://doi.org/10.1289/ehp.1104584 CrossRefPubMedPubMedCentral

Titel: Association between objectively measured built environments and adult physical activity in Gyeonggi province, Korea
verfasst von: Eun Young Lee
Sugie Lee
Bo Youl Choi
Publikationsdatum: 30.06.2018
Verlag: Springer International Publishing
Erschienen in: International Journal of Public Health / Ausgabe 9/2018
Print ISSN: 1661-8556
Elektronische ISSN: 1661-8564
DOI: https://doi.org/10.1007/s00038-018-1138-y

Live-Webinar: Aktuelle Leitlinien bei Herz-Kreislauf-Erkrankungen

Springer Medizin

Association between objectively measured built environments and adult physical activity in Gyeonggi province, Korea

Abstract

Objectives

Methods

Results

Conclusions

Live-Webinar: Aktuelle Leitlinien bei Herz-Kreislauf-Erkrankungen

Springer Medizin

Abstract

Objectives

Methods

Results

Conclusions

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