JOURNAL BROWSE
Search
Advanced SearchSearch Tips
Neighborhood Environment Associated with Physical Activity among Rural Adults: Applying Zero-Inflated Negative Binominal Regression Modeling
facebook(new window)  Pirnt(new window) E-mail(new window) Excel Download
 Title & Authors
Neighborhood Environment Associated with Physical Activity among Rural Adults: Applying Zero-Inflated Negative Binominal Regression Modeling
Kim, Bongjeong;
  PDF(new window)
 Abstract
Purpose: This study was conducted to determine the neighborhood environmental factors associated with physical activity among adults living in rural communities. Methods: A cross-sectional descriptive survey was conducted with a convenience sample of 201 adults living in three Ri in Y-city, Gyeonggi-do. Data were collected from face-to-face interview by trained interviewers and were analyzed using a zero-inflated negative binominal regression model. Results: Participants reported engaged in moderate or vigorous physical activity was 76.1%; 10.5% of participants reported that they met moderate physical activity recommendations and 14.5% of participants reported that they met vigorous physical activity recommendations. Zero-inflated negative binominal regression analysis showed association of increasing days of physical activity with social cohesion (${\beta}
 Keywords
Physical activity;Social environment;Social cohesion;Rural communities;
 Language
Korean
 Cited by
1.
군 지역 성인의 신체활동 실천에 미치는 영향요인에 대한 다수준 분석,김봉정;

한국보건간호학회지, 2016. vol.30. 2, pp.311-325 crossref(new window)
1.
Factors Affecting Physical Activity of Korean Adults in Some County Areas : A Multilevel analysis, Journal of Korean Public Health Nursing, 2016, 30, 2, 311  crossref(new windwow)
 References
1.
Addy, C. L., Wilson, D. K., Kirtland, K. A., Ainsworth, B. E., Sharpe, P., & Kimsey, D. (2004). Associations of perceived social and physical environmental supports with physical activity and walking behavior. American Journal of Public Health, 94, 440-443. crossref(new window)

2.
Andersen, L., Gustat, J., & Becker, A. B. (2015). The relationship between the social environment and lifestyle-related physical activity in a low-income African American inner-city southern neighborhood. Journal of Community Health, published online 26 March 2015. http://dx.doi.org/10.1007/s10900-015-0019-z crossref(new window)

3.
Barnidge, E. K., Radvanyi, C., Duggan, K., Motton, F., Wiggs, I., Baker, E. A., & Brownson, R. C. (2013). Understanding and addressing barriers to implementation of environmental and policy interventions to support physical activity and healthy eating in rural communities. Journal of Rural Health, 29(1), 97-105. http://dx.doi.org/10. 1111/j.1748-0361.2012.00431.x crossref(new window)

4.
Bauman, A. E., Reis, R. S., Sallis, J. F., Wells, J. C., Loos, R. J. F., & Martin, B. W. (2012). Correlates of physical activity: why are some people physically active and others not? Lancet, 380, 258-271. crossref(new window)

5.
Echeverria, S., Diez-Roux, A. V., Shea, S., Borrell, L. N., & Jackson, S. (2008). Association of neighborhood problems and neighborhood social cohesion with mental health and health behaviors: the multi -ethnic study of atherosclerosis. Health & Place, 14, 853-865. crossref(new window)

6.
Eichinger, M., Titze, S., Haditsch, B., Dorner, T. E., & Stronegger, W. J. (2015). How are physical activity behaviors and cardiovascular risk factors associated with characteristics of the built and social residential environment? PLoS One, 10(6), e0126010. http://dx.doi. org/10.1371/journal.pone.0126010. crossref(new window)

7.
Jang, M. H. & Park, C. G. (2012). Risk factors influencing probability and severity of elder abuse in community dwelling older adults: applying zero-inflated negative binomial modeling of abuse count data. Journal of Korean Academy Nursing, 42(6), 819-832. http://dx.doi.org/10.4040/jkan.2012.42.6.819 crossref(new window)

8.
Jung, M. & Cho, B. H. (2007). The influence of community capacity in health status. Health and Social Science, 22, 153-182.

9.
Kang, S. J. & Kim, Y. H. (2011). The effect of individual, social, and physical environment variables on older adults' physical activity. Korean Journal of Sport Psychology, 22(3), 113-124.

10.
Kim, Y. H., Park, I. K., & Lee, H. G. (2013). Relationship between social ecological variables and physical activity. Korean Journal of Sport Psychology, 24(4), 61-74. crossref(new window)

11.
Kim, Y. A. & Yoon, H. S. (2011). Factors associated with health promotion of caregivers based on a socio-ecological model. Journal of Korean Public Health Nursing, 25(1), 61-72.

12.
Lee, D. H. (2013). Simulated maximum likelihood estimator for the zero inflated poisson lognormal regression model. Journal of the Korean Data Analysis Society, 15(3), 1347-1360.

13.
Lee, H. S. & Shepley, M. M. (2012). Perceived neighborhood environments and leisure-time walking among Korean adults: an application of the theory of planned behavior. Health Environments Research & Design Journal, 52, 99-110.

14.
Lee, J. M., Kwon, K. S., Lee, J. H., & Jeon, G. S. (2005). A study on health behavior of the populations in urban and rural area. Korean Journal of Rural Medicine, 30(2), 213-226. http://dx.doi.org/10.5393/JAMCH. 2013.38.3.182

15.
Lee, M. S., Kim, D. K., Kim, E. Y., Na, B. J., & Sung, T. H. (2002). A study on the relationship social support, social network and health behaviors among some rural peoples. Journal of Korean Society for Health Education and Promotion, 19(2), 73-98.

16.
Mama, S. K., Diamondb, P. M., McCurdy, S. A., Evans, A. E., McNeill, L. H., & Lee, R. E. (2015). Individual, social and environmental correlates of physical activity in overweight and obese African American and Hispanic women: a structural equation model analysis. Preventive Medicine Reports, 2, 57-64. http://dx.doi.org/10.1016/j.pmedr. 2015.01.001 crossref(new window)

17.
McNeill, L. H., Kreuter, M. W., & Subramanian, S. V. (2006). Social environment and physical activity: a review of concepts and evidence. Social Science & Medicine, 63, 1011-1022. crossref(new window)

18.
Ministry of Health & Welfare, & Korea Center for Disease Control & Prevention. (2014). Korea health statistics 2013: Korea national health and nutrition examination survey (KNHANES VI-1). Chungbuk: Author.

19.
Moon, S. (2012). Physical activities and related factors among low-income middle-aged people. Journal of Korean Public Health Nursing, 26(1), 38-50. http://dx.doi.org/10.5932/JKPHN.2012.26.1.038 crossref(new window)

20.
Parks, S. E., Housemann, R. A., & Brownson, R. C. (2003). Differential correlates of physical activity in urban and rural adults of various socioeconomic backgrounds in the United States. Journal of Epidemiology and Community Health, 57(1), 29-35. crossref(new window)

21.
Rech, C. R., Reis, R. S., Hino, A. F., & Hallal, P. C. (2014). Personal, social and environmental correlates of physical activity in adults from Curitiba, Brazil. Preventive Medicine, 58, 53-57. crossref(new window)

22.
Roh, M. Y., Lee, H. K., Lee, C. Y., & Kim, G. S. (2012). Correlates of physical activity among Korean navy personnel: an ecological approach. Journal of Korean Academy Community Health Nursing, 23(3), 296-306. crossref(new window)

23.
Sallis, J. F., Owen, N., & Fisher, E. B. (2008). Ecological models of health behavior. In: K. Glanz, B. K. Rimer & K. Viswanath(Eds.), Health behavior and health education: Theory, research, and practice (pp. 465-486). 4th ed. San Francisco: Jossey-Bass.

24.
Sampson, R. J., Raudenbush, S. W., & Earls, F. (1997). Neighborhoods and violent crime: a multilevel study of collective efficacy. Science, 277, 918-924. crossref(new window)

25.
Slymen, D. J., Ayala, G. X., Arrendondo, E. M., & Elder, J. P. (2006). A demonstration of modeling count data with an application to physical activity. Epidemiologic Perspectives & Innovations, 3, 3-11. http://dx.doi.org/ 10.1186/1742 crossref(new window)

26.
Solomon, E., Rees, T., Ukoumunne, O. C., Metcalf, B., & Hillsdon, M. (2013). Personal, social, and environmental correlates of physical activity in adults living in rural south-west England: a cross-sectional analysis. International Journal of Behavioral Nutrition and Physical Activity, 10, 129. http://dx.doi.org/10.1186/1479-5868-10-129 crossref(new window)

27.
Strong, L. L., Reitzel, L. R., Wetter, D. W., & McNeill, L. H. (2013). Associations of perceived neighborhood physical and social environments with physical activity and television viewing in African American men and women. American Journal of Health Promotion, 27(6), 401-409. http://dx.doi. org/10.4278/ajhp.120306-QUAN-127 crossref(new window)

28.
World Health Organization (2010). Global recommendations on physical activity for health. Retrieved July 3, 2015, from http://www.who.int/dietphysicalactivity/ publications/9789241599979/en/

29.
Yun, E. H., Kang, Y. H., Lim, M. K., Oh, J. K., & Son, J. M. (2010). The role of social support and social networks in smoking behavior among middle and older aged people in rural areas of South Korea: a cross-sectional study. BMC Public Health, 10, 78-85. Retrieved from http://www.biomedcentral.com/1471-2458/10/78 crossref(new window)

30.
Zaninotto, P. & Falaschetti, E. (2011). Comparison of methods for modelling a count outcome with excess zeros: application to activities of daily living (ADL-s). Journal of Epidemiology and Community Health, 65, 205-210. http://dx.doi.org/10.1136/jech.2008.079640 crossref(new window)