Perception of Built Environment and Its Association with Physical Function Among Older Adults in Maiduguri Metropolis, Nigeria: A Cross-Section Study
Article Sidebar
Page Numbers:
139-149
Digital Object Identifier:
10.58578/ajmsphr.v2i2.5225
Viewed: 176 times
Downloaded: 190 times
LYAS Publisher cordially invites qualified professionals to serve as Editors or Reviewers. Your expertise will make an important contribution to maintaining and strengthening the academic quality of our publications. Interested applicants are kindly requested to complete the application form at the following link: Editors & Reviewers
Please feel free to contact us if you need any further information about the submission process or if you have any additional questions.
Authors:
Cornelius M. Ishaku1, Munirat B. Onundi2, Mahmud A. Karaga3, Chungsyn C. Ajuji4, Desmond A. Zaki5, Anthony M. Audu6, Francis Fidelis7 
Copyright :
Authors retain copyright and grant the journal right of first publication.
Main Article Content
Abstract
Introduction: Ageing is associated with decline in muscle mass and strength which compromise functions and participation. Physical function is a good indicator of overall health status as it lowers the risk of falls, chronic diseases and disability among older adults. Aims: To investigate the association between physical function and the perception of built environment among older adults in Maiduguri Metropolis. Methods: A cross-sectional survey was conducted to recruit apparently 400 healthy older adults aged 60 years and above, using a multi-stage random sampling technique. Descriptive statistics of mean, standard deviation and percentage were used to summarize the socio-demographics; physical function and perception of built environment among the participants. Logistic regression was used to examine the association between physical function and access to destination; social environment; neighbourhood infrastructure; aesthetic quality; and neighbourhood safety. Data was analysed using SPSS version 22 at an alpha level 0.05. Results: Most participants were males (68.8 %), living in low-income area (70.0 %) with average age of 68.77 6.52 and mean score of 83.30 ± 25.96 physical function. There was no statistically significant association found between physical function and perception of the built environmental variables among the participants, however, 3 out of the five built environment features are likely to improve physical functions. Conclusion: Although there was no significant association, access to destination in the neighbourhood, neighbourhood aesthetic quality and social environment were positively associated with the physical function. The findings of the study should be interpreted with caution as more that 70% of the participant fall in the category of those living in low-income area which may affect their built environment.
Article Details
References
2. Verdijk LB, Gleeson BG, Jonkers RA, Meijer K, Savelberg HH, Dendale P, et al. Skeletal muscle hypertrophy following resistance training is accompanied by a fiber type–specific increase in satellite cell content in elderly men. Journals of Gerontology Series A: Biomedical Sciences and Medical Sciences. 2009 Mar 1;64(3):332-9.
3. Buchner DM, Larson EB, Wagner EH, Koepsell TD, De Lateur BJ. Evidence for a non-linear relationship between leg strength and gait speed. Age and ageing. 1996 Sep 1;25(5):386-91.
4. Goodpaster BH, Park SW, Harris TB, Kritchevsky SB, Nevitt M, Schwartz AV, et al. The loss of skeletal muscle strength, mass, and quality in older adults: the health, aging and body composition study. The Journals of Gerontology Series A: Biological Sciences and Medical Sciences. 2006 Oct 1;61(10):1059-64.
5. Guralnik JM, Simonsick EM, Ferrucci L, Glynn RJ, Berkman LF, Blazer DG, et al. A short physical performance battery assessing lower extremity function: association with self-reported disability and prediction of mortality and nursing home admission. Journal of gerontology. 1994 Mar 1;49(2):M85-94.
6. Covinsky KE, Palmer RM, Fortinsky RH, Counsell SR, Stewart AL, Kresevic D, et al. Loss of independence in activities of daily living in older adults hospitalized with medical illnesses: increased vulnerability with age. Journal of the American Geriatrics Society. 2003 Apr;51(4):451-8.
7. Penninx BW, Messier SP, Rejeski WJ, Williamson JD, DiBari M, Cavazzini C, et al. Physical exercise and the prevention of disability in activities of daily living in older persons with osteoarthritis. Archives of Internal medicine. 2001 Oct 22;161(19):2309-16.
8. Giles-Corti B, Donovan RJ. The relative influence of individual, social and physical environment determinants of physical activity. Social science & medicine. 2002 Jun 1;54(12):1793-812.
9. Booth ML, Owen N, Bauman A, Clavisi O, Leslie E. Social–cognitive and perceived environment influences associated with physical activity in older Australians. Preventive medicine. 2000 Jul 1;31(1):15-22.
10. Humpel N, Owen N, Leslie E. Environmental factors associated with adults’ participation in physical activity: a review. American journal of preventive medicine. 2002 Apr 1;22(3):188-99.
11. Lund H. Testing the claims of new urbanism: Local access, pedestrian travel, and neighboring behaviors. Journal of the American planning association. 2003 Dec 31;69(4):414-2 Frank LD, Sallis JF, Conway TL, Chapman JE, Saelens BE, Bachman W. Many pathways from land use to health: associations between neighborhood walkability and active transportation, body mass index, and air quality. Journal of the American planning Association. 2006 Mar 31;72(1):75-87.
12. Frank LD, Sallis JF, Conway TL, Chapman JE, Saelens BE, Bachman W. Many pathways from land use to health: associations between neighborhood walkability and active transportation, body mass index, and air quality. Journal of the American planning Association. 2006 Mar 31;72(1):75-87.
13. Moudon AV, Lee C, Cheadle AD, Garvin C, Johnson D, Schmid TL, et al. Operational definitions of walkable neighborhood: theoretical and empirical insights. Journal of physical activity and health. 2006 Feb 1;3(s1):S99-117.
14. Yamane T. Statistic: An introductory Analysis. 2nd ed. New York: Harper and Row; 1967.
15. McHorney, C.A., Ware Jr, J.E., Lu, J.R. and Sherbourne, C.D. (1994). The MOS 36-item Short-Form Health Survey (SF-36): III. Tests of data quality, scaling assumptions, and reliability across diverse patient groups. Medical care, 40-66.
16. Ware, J.E., Snow, K.K., Kosinski, M. and Gandek, B. (1993). SF-36 health survey. Manual and interpretation guide. Boston: The Health Institute, New England Medical Center, 10-6.
17. Stewart, A.L. and Ware, J.E. (1992). Measuring functioning and well-being: the medical outcomes study approach. duke university Press.
18. Brazier, J. E., Harper, R., Jones, N. M., O'cathain, A., Thomas, K. J., Usherwood, T., & Westlake, L. (1992). Validating the SF-36 health survey questionnaire: new outcome measure for primary care. British medical journal, 305(6846), 160-164.
19. Hayes, V., Morris, J., Wolfe, C. and Morgan, M.(1995). The SF-36 health survey questionnaire: is it suitable for use with older adults? Age and ageing, 24(2),120-125.
20. Sallis JF, Kerr J, Carlson JA, Norman GJ, Saelens BE, Durant N, et al. Evaluating a brief self-report measure of neighborhood environments for physical activity research and surveillance: Physical Activity Neighborhood Environment Scale (PANES). Journal of physical activity and health. 2010 Jul 1;7(4):533-40.
21. Hanson, H.M., Schiller, C., Winters, M., Sims-Gould, J., Clarke, P., Curran, E., Donaldson, M.G., Pitman, B., Scott, V., McKay, H.A. and Ashe, M.C. (2013). Concept mapping applied to the intersection between older adults' outdoor walking and the built and social environments. Preventive medicine, 57(6),785-791.
22. Lotvonen, S., Kyngäs, H., Koistinen, P., Bloigu, R., Elo, S. (2017). Social Environment of Older People during the First Year in Senior Housing and Its Association with Physical Performance. Int. J. Environ. Res. Public Health, 14, 960; doi:10.3390/ijerph14090960
23. Fisher, K. J., & Li, F. (2004). A community-based walking trial to improve neighborhood quality of life in older adults: a multilevel analysis. Annals of Behavioral Medicine, 28(3), 186-194.
24. Hanson, H.M., Schiller, C., Winters, M., Sims-Gould, J., Clarke, P., Curran, E., Donaldson, M.G., Pitman, B., Scott, V., McKay, H.A. and Ashe, M.C. (2013). Concept mapping applied to the intersection between older adults' outdoor walking and the built and social environments. Preventive medicine, 57(6),785-791.