Physical Activity, Physical Function and Neighborhood Environment Adaptation Among Older Adults Dwelling in Asaba, Delta State, Nigeria

Ogbutor Udoji Godsday; Olisa Chisom Kingsley; Ephraim Chukwuemeka; Kizito Bright; Ezunu Emmanuel; Nworah Awele Maria; Nwangwa Eze Kingsley

doi:doi:10.11648/j.aap.20230801.11

Physical Activity, Physical Function and Neighborhood Environment Adaptation Among Older Adults Dwelling in Asaba, Delta State, Nigeria

Ogbutor Udoji Godsday, Olisa Chisom Kingsley, Ephraim Chukwuemeka, Kizito Bright, Ezunu Emmanuel, Nworah Awele Maria, Nwangwa Eze Kingsley

Published in Advances in Applied Physiology (Volume 8, Issue 1)

Received: 24 November 2022 Accepted: 19 December 2022 Published: 9 January 2023

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Abstract

Background: Consequent upon the increasing pressure on health system created by growing population of older adults, attention has been channeled to ways to smoothen the aging process among older adults including studying on their physical activity (PA), physical function (PF) and neighborhood environment adaptation (NEA). This study aimed to determine the level and interrelationships between PA, PF and NEA among older adults dwelling in Asaba, Delta State, Nigeria. Methodology: This is a cross sectional study involving 150 older adults (56% females; mean age = 72.57±6.32 years) consecutively recruited from communities in Asaba, Delta State, Nigeria. The International Physical Activity Questionnaire, the Physical Function Activity Scale (SF-36) and Physical Activity Neighborhood Environment scale in Nigeria (PANES-N) were used to assess physical activity, physical function and neighborhood environment adaptation among the participants respectively. Data was analyzed using frequency counts, percentages, mean, standard deviation and spearman’s correlation test at alpha level of 0.05. Results: The mean total of PA, PF, and NEA scores were 1324±1124.35MET-min/week (adequate), 60.58±17.44 (dependent), 2.32±0.27 (moderate) respectively. PF had direct correlation with PA (rho=0.69; p=<0.001) and general health (rho=0.51; p=<0.01). There was no significant correlation between PF and NEA (rho=0.15; p=0.07). PA had direct correlation with NEA (rho=0.34; p=<0.01) and general health (rho=0.65; p=<0.01) also having inverse correlation with each of age (rho=-0.58; p=<0.01) and education attainment (rho=-0.17; p=0.04) of the participants. There was inverse correlation between age and PF (rho=-0.63; p=<0.01) and each of NEA (rho=-0.19; p=0.02) and general health (rho=-0.57; p=<0.01) of the participants. Conclusion: Older adults dwelling in Asaba, Delta State, Nigeria had adequate PA, dependent in PF and moderate NEA. Their PA correlated with each of their PF and NEA. This suggests that improvement of PA among older adults ameliorate their problem with PF and NEA.

Published in	Advances in Applied Physiology (Volume 8, Issue 1)
DOI	10.11648/j.aap.20230801.11
Page(s)	1-7
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2023. Published by Science Publishing Group

Keywords

Older Adults, Physical Activity, Physical Function, Neighborhood Environment Adaptation

References

[1]	AARP. (2010). Home and community preferences of the 45+ population. Washington, DC: AARP Research & Strategic Analysis. Adams, R. E., Rohe, W. M., & Arcury, T. A. (2005). Awareness of community-oriented policing and neighborhood perceptions in five small to midsize cities. Journal of Criminal Justice, 33, 43–54. Aging in Place. (n.d.). Retrieved from http://www.seniorresource. com
[2]	Akosile, C. O., Igwemmadu, C. K., Okoye, E. C., Odole, A. C., Mgbeojedo, U. G., Fabunmi, A. A. and Onwuakagba, I. U. (2021). Physical activity level, fear of falling and quality of life: a comparison between community-dwelling and assisted-living older adults. BMC Geriatrics, 21 (1). doi: 10.1186/s12877-020-01982-1.
[3]	Akosile, C. O., Mbeojedo, G. U., Fatai, A. M., Okoye C. E., Umeonwuka, C. I., and Adesola, O. (2018) Depression, functional disability and quality of life among Nigerian older Adults; Prevalence and relationships. Archives of gerontology and geriatrics 74, 39-43.
[4]	Anderson, E. and Durstine, J. L. (2019). Physical activity, exercise, and chronic diseases: A brief review. Sports Medicine and Health Science, [online] 1 (1), pp. 3–10. doi: 10.1016/j.smhs.2019.08.006.
[5]	Ando, M., Kamide, N., Shiba, Y., Sakamoto, M., Sato, H., Murakami, T. and Watanabe, S. (2021). Association Between Physical Function and Neighborhood Environment in Healthy, Older Adults: An Exploratory Study Using Regression Tree Analysis. Gerontology and Geriatric Medicine, 7, p. 233372142110524. doi: 10.1177/23337214211052403.
[6]	Andrea, L. R., Amy, H., and Yvonne, L. M. (2011) The Urban built environment and mobility in older adults. USA.
[7]	Baker, A. B. and Tang, Y. Q. (2010). Aging Performance for Masters Records in Athletics, Swimming, Rowing, Cycling, Triathlon, and Weightlifting. Experimental Aging Research, 36 (4), pp. 453–477. doi: 10.1080/0361073x.2010.507433.
[8]	Balfour, J. L. (2002). Neighborhood Environment and Loss of Physical Function in Older Adults: Evidence from the Alameda County Study. American Journal of Epidemiology, 155 (6), pp. 507–515.
[9]	Bauman, A., Merom, D., Bull, F. C., Buchner, D. M. and Fiatarone Singh, M. A. (2016). Updating the Evidence for Physical Activity: Summative Reviews of the Epidemiological Evidence, Prevalence, and Interventions to Promote “Active Aging.” The Gerontologist, [online] 56 Suppl 2, pp. S268-80. Available at: https://www.ncbi.nlm.nih.gov/pubmed/26994266.
[10]	Chase, A. R., Laudermilch, E., Wang, J., Shigematsu, H., Yokoyama, T. and Schlieker, C. (2017). Dynamic functional assembly of the Torsin AAA+ ATPase and its modulation by LAP1. Molecular Biology of the Cell, 28 (21), pp. 2765–2772. doi: 10.1091/mbc.e17-05-0281.
[11]	Chmelo, E., Nicklas, B., Davis, C., Miller, G. D., Legault, C. and Messier, S. (2013). Physical Activity and Physical Function in Older Adults With Knee Osteoarthritis. Journal of Physical Activity and Health, 10 (6), pp. 777–783. doi: 10.1123/jpah.10.6.777.
[12]	Crimmins, E. M., 2015. Lifespan and healthspan: Past, present, and promise. The Gerontologist, 55, 901–911. doi: 10.1093/geront/gnv130
[13]	Diez Roux, A. V. (2002). Invited Commentary: Places, People, and Health. American Journal of Epidemiology, [online] 155 (6), pp. 516–519. doi: 10.1093/aje/155.6.516.
[14]	Durstine, J. L., Gordon, B., Wang, Z. and Luo, X. (2013). Chronic disease and the link to physical activity. Journal of Sport and Health Science, [online] 2 (1), pp. 3–11. doi: 10.1016/j.jshs.2012.07.009.
[15]	Faul, F, Erdfelder, E., Lang, A. G., & Buchner, A. (2007). A flexible statistical power analysis program for the social, behavior al and bio medical sciences. Behavior Research Methods, 39 (2), 175191. https://doi.org/10.3758/bf03193146
[16]	Garber, C. E., Greaney, M. L., Riebe, D., Nigg, C. R., Burbank, P. A. and Clark, P. G. (2010). Physical and mental health-related correlates of physical function in community dwelling older adults: a cross sectional study. BMC Geriatrics, 10 (1).
[17]	García-Mayor, J., Moreno-Llamas, A. and la Cruz-Sánchez, E. D. (2021). High educational attainment redresses the effect of occupational social class on health-related lifestyle: findings from four Spanish national health surveys. Annals of Epidemiology, 58, pp. 29–37. doi: 10.1016/j.annepidem.2021.02.010.
[18]	Gomes M, Figueiredo D, Teixeira L, et al. Physical inactivity among older adults across Europe based on the SHARE database. Age Ageing. 2017; 46 (1): 71-77. https://doi.org/10.1093/ageing/afw165.
[19]	Halaweh, H., Willén, C. and Svantesson, U. (2016). Association between physical activity and physical functioning in community-dwelling older adults. European Journal of Physiotherapy, 19 (1), pp. 40–47. doi: 10.1080/21679169.2016.1240831.
[20]	Koyanagi, A. I., Stubbs, B., Smith, L., Gardner, B., and Vancampfort, D. (2017) Correlates of physical Activity among community-dwelling adults aged 50 or over in six low- and middle income countries. http: www.who.int/healthinfo/sage/en/.
[21]	Lee, I. M., Shiroma, E. J., Lobelo, F., Puska, P., Blair, S. N., & Katzmarzyk, P. T.; Lancet Physical Activity Series Working Group. (2012). Effect of physical inactivity on major noncommunicable diseases worldwide: An analysis of burden of disease and life expectancy. The Lancet, 380, 219229. doi: 10.1016/S0140-6736(12)61031-9
[22]	Mark M and Paola S (2017) How Neighborhoods Affect the Health and Well-Being of Older Americans. Today’s Research on Aging, Issue 35.
[23]	Matz-Costa, C., Lee, H., Choi., Y, Foss, S., and Lubben, J. (2016) Health- Enhancing the Promoting Effects of older Adults ‘activity portfolios. Gerontology 56, 322-322.
[24]	McPhee, J. S., French, D. P., Jackson, D., Nazroo, J., Pendleton, N. and Degens, H. (2016). Physical activity in older age: perspectives for healthy ageing and frailty. Biogerontology, 17 (3), pp. 567–580. doi: 10.1007/s10522-016-9641-0.
[25]	Oyeyemi, A. L., Oyeyemi, A. Y., Jidda, Z. A. and Babagana, F. (2013). Prevalence of Physical Activity Among Adults in a Metropolitan Nigerian City: A Cross-Sectional Study. Journal of Epidemiology, [online] 23 (3), pp. 169–177. doi: 10.2188/jea.je20120116.
[26]	Perpetua, L., Pelser, A. and Peter, Mbah. (2018) Care of the elderly in Nigeria: Implications for policy.
[27]	Peters, M., Muellmann, S., Christianson, L., Stalling, I., Bammann, K., Drell, C. and Forberger, S. (2020). Measuring the association of objective and perceived neighborhood environment with physical activity in older adults: challenges and implications from a systematic review. International Journal of Health Geographics, 19 (1). doi: 10.1186/s12942-020-00243-z.
[28]	Sebastião, E., Henert, S. and Siqueira, V. A. A. A. (2020). Physical Activity and Physical Function in Older Adults Living in a Retirement Community: A Cross-Sectional Analysis Focusing on Self-Rated Health. American Journal of Lifestyle Medicine, 15 (3), pp.279–285. doi: 10.1177/1559827620942720.
[29]	Shaw, B. A. and Spokane, L. S. (2008). Examining the Association Between Education Level and Physical Activity Changes During Early Old Age. Journal of Aging and Health, 20 (7), pp. 767–787. doi: 10.1177/0898264308321081.
[30]	Sun, F., Norman, I. J. and While, A. E. (2013). Physical activity in older people: a systematic review. BMC Public Health, [online] 13 (1). doi: 10.1186/1471-2458-13-449.
[31]	Suryadinata, R. V., Wirjatmadi, B., Adriani, M. and Lorensia, A. (2020). Effect of age and weight on physical activity. Journal of Public Health Research, [online] 9 (2). doi: 10.4081/jphr.2020.1840.
[32]	U. S. Health and Human Services. (2008). Physical Activity Guidelines Advisory Committee Report. Washington, DC: U.S. Department of Health and Human Services.
[33]	United Nations Department of Economic and Social Affairs, Population Division. (2013). World Population Ageing (Report ST/ESA/SER.A/348). Retrieved from http://www.un.org/en/development/desa/population/publications/pdf/ageing/WorldPopulationAgeingReport2013.pdf
[34]	US Department of Health and Human Service: Physica Activity Guideines for Americans US Department of Heath and Human Servces 2008.
[35]	World Health Organization. (2010). Physical activity and older adults: Recommended levels of physical activity for adults aged 65 and above. Retrieved from http://www.who.int/dietphysicalactivity/factsheet_recommendations/en/
[36]	World Health Organization. (2010a). Physical activity and older adults: Recommended levels of physical activity for adults aged 65 and above. Retrieved from http://www.who.int/dietphysicalactivity/factsheetrecommendations/en/
[37]	World Health Organization. (2015). World report on ageing and health. Geneva: WHO. ISBN: 978 92 4 156504 2
[38]	Yorston, L. C., Kolt, G. S. and Rosenkranz, R. R. (2012). Physical Activity and Physical Function in Older Adults: The 45 and Up Study. Journal of the American Geriatrics Society, 60 (4), pp. 719–725. doi: 10.1111/j.1532-5415.2012.03906.x.
[39]	Zapata-Lamana, R., Poblete-Valderrama, F., Cigarroa, I. and Parra-Rizo, M. A. (2021). The Practice of Vigorous Physical Activity Is Related to a Higher Educational Level and Income in Older Women. International Journal of Environmental Research and Public Health, 18 (20), p. 10815. doi: 10.3390/ijerph182010815.
[40]	Zhang, J., Bloom, I., Dennison, E. M., Ward, K. A., Robinson, S. M., Barker, M., Cooper, C. and Lawrence, W. (2022). Understanding influences on physical activity participation by older adults: A qualitative study of community-dwelling older adults from the Hertfordshire Cohort Study, UK. PLOS ONE, 17 (1), p. e0263050. doi: 10.1371/journal.pone.0263050
[41]	Freedman VA, Grafova B Schoeni RF, Rogowski J Neighborhoods and dsablty n ater ife Soc Sc Med 200866 (11) 2253–67.
[42]	Chaudhury, H., Campo, M., Michael, Y. and Mahmood, A. (2016). Neighbourhood environment and physical activity in older adults. Social Science & Medicine, 149, pp. 104–113. doi: 10.1016/j.socscimed.2015.12.011.
[43]	Ding, D., Sallis, J. F., Norman, G. J., Frank, L. D., Saelens, B. E., Kerr, J., Conway, T. L., Cain, K., Hovell, M. F., Hofstetter, C. R. and King, A. C. (2014). Neighborhood Environment and Physical Activity Among Older Adults: Do the Relationships Differ by Driving Status? Journal of Aging and Physical Activity, 22 (3), pp. 421–431. doi: 10.1123/japa.2012-0332.
[44]	Etman, A., Kamphuis, C. B. M., Pierik, F. H., Burdorf, A. and Van Lenthe, F. J. (2016). Residential area characteristics and disabilities among Dutch community-dwelling older adults. International Journal of Health Geographics, 15 (1). doi: 10.1186/s12942-016-0070-8.
[45]	Soma, Y., Tsunoda, K., Kitano, N., Jindo, T., Tsuji, T., Saghazadeh, M. and Okura, T. (2016). Relationship between built environment attributes and physical function in Japanese community-dwelling older adults. Geriatrics & Gerontology International, 17 (3), pp. 382–390. doi: 10.1111/ggi.12717.

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Ogbutor Udoji Godsday, Olisa Chisom Kingsley, Ephraim Chukwuemeka, Kizito Bright, Ezunu Emmanuel, et al. (2023). Physical Activity, Physical Function and Neighborhood Environment Adaptation Among Older Adults Dwelling in Asaba, Delta State, Nigeria. Advances in Applied Physiology, 8(1), 1-7. https://doi.org/10.11648/j.aap.20230801.11

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Ogbutor Udoji Godsday; Olisa Chisom Kingsley; Ephraim Chukwuemeka; Kizito Bright; Ezunu Emmanuel, et al. Physical Activity, Physical Function and Neighborhood Environment Adaptation Among Older Adults Dwelling in Asaba, Delta State, Nigeria. Adv. Appl. Physiol. 2023, 8(1), 1-7. doi: 10.11648/j.aap.20230801.11

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Ogbutor Udoji Godsday, Olisa Chisom Kingsley, Ephraim Chukwuemeka, Kizito Bright, Ezunu Emmanuel, et al. Physical Activity, Physical Function and Neighborhood Environment Adaptation Among Older Adults Dwelling in Asaba, Delta State, Nigeria. Adv Appl Physiol. 2023;8(1):1-7. doi: 10.11648/j.aap.20230801.11

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@article{10.11648/j.aap.20230801.11,
  author = {Ogbutor Udoji Godsday and Olisa Chisom Kingsley and Ephraim Chukwuemeka and Kizito Bright and Ezunu Emmanuel and Nworah Awele Maria and Nwangwa Eze Kingsley},
  title = {Physical Activity, Physical Function and Neighborhood Environment Adaptation Among Older Adults Dwelling in Asaba, Delta State, Nigeria},
  journal = {Advances in Applied Physiology},
  volume = {8},
  number = {1},
  pages = {1-7},
  doi = {10.11648/j.aap.20230801.11},
  url = {https://doi.org/10.11648/j.aap.20230801.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.aap.20230801.11},
  abstract = {Background: Consequent upon the increasing pressure on health system created by growing population of older adults, attention has been channeled to ways to smoothen the aging process among older adults including studying on their physical activity (PA), physical function (PF) and neighborhood environment adaptation (NEA). This study aimed to determine the level and interrelationships between PA, PF and NEA among older adults dwelling in Asaba, Delta State, Nigeria. Methodology: This is a cross sectional study involving 150 older adults (56% females; mean age = 72.57±6.32 years) consecutively recruited from communities in Asaba, Delta State, Nigeria. The International Physical Activity Questionnaire, the Physical Function Activity Scale (SF-36) and Physical Activity Neighborhood Environment scale in Nigeria (PANES-N) were used to assess physical activity, physical function and neighborhood environment adaptation among the participants respectively. Data was analyzed using frequency counts, percentages, mean, standard deviation and spearman’s correlation test at alpha level of 0.05. Results: The mean total of PA, PF, and NEA scores were 1324±1124.35MET-min/week (adequate), 60.58±17.44 (dependent), 2.32±0.27 (moderate) respectively. PF had direct correlation with PA (rho=0.69; p=<0.001) and general health (rho=0.51; p=<0.01). There was no significant correlation between PF and NEA (rho=0.15; p=0.07). PA had direct correlation with NEA (rho=0.34; p=<0.01) and general health (rho=0.65; p=<0.01) also having inverse correlation with each of age (rho=-0.58; p=<0.01) and education attainment (rho=-0.17; p=0.04) of the participants. There was inverse correlation between age and PF (rho=-0.63; p=<0.01) and each of NEA (rho=-0.19; p=0.02) and general health (rho=-0.57; p=<0.01) of the participants. Conclusion: Older adults dwelling in Asaba, Delta State, Nigeria had adequate PA, dependent in PF and moderate NEA. Their PA correlated with each of their PF and NEA. This suggests that improvement of PA among older adults ameliorate their problem with PF and NEA.},
 year = {2023}
}

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TY  - JOUR
T1  - Physical Activity, Physical Function and Neighborhood Environment Adaptation Among Older Adults Dwelling in Asaba, Delta State, Nigeria
AU  - Ogbutor Udoji Godsday
AU  - Olisa Chisom Kingsley
AU  - Ephraim Chukwuemeka
AU  - Kizito Bright
AU  - Ezunu Emmanuel
AU  - Nworah Awele Maria
AU  - Nwangwa Eze Kingsley
Y1  - 2023/01/09
PY  - 2023
N1  - https://doi.org/10.11648/j.aap.20230801.11
DO  - 10.11648/j.aap.20230801.11
T2  - Advances in Applied Physiology
JF  - Advances in Applied Physiology
JO  - Advances in Applied Physiology
SP  - 1
EP  - 7
PB  - Science Publishing Group
SN  - 2471-9714
UR  - https://doi.org/10.11648/j.aap.20230801.11
AB  - Background: Consequent upon the increasing pressure on health system created by growing population of older adults, attention has been channeled to ways to smoothen the aging process among older adults including studying on their physical activity (PA), physical function (PF) and neighborhood environment adaptation (NEA). This study aimed to determine the level and interrelationships between PA, PF and NEA among older adults dwelling in Asaba, Delta State, Nigeria. Methodology: This is a cross sectional study involving 150 older adults (56% females; mean age = 72.57±6.32 years) consecutively recruited from communities in Asaba, Delta State, Nigeria. The International Physical Activity Questionnaire, the Physical Function Activity Scale (SF-36) and Physical Activity Neighborhood Environment scale in Nigeria (PANES-N) were used to assess physical activity, physical function and neighborhood environment adaptation among the participants respectively. Data was analyzed using frequency counts, percentages, mean, standard deviation and spearman’s correlation test at alpha level of 0.05. Results: The mean total of PA, PF, and NEA scores were 1324±1124.35MET-min/week (adequate), 60.58±17.44 (dependent), 2.32±0.27 (moderate) respectively. PF had direct correlation with PA (rho=0.69; p=<0.001) and general health (rho=0.51; p=<0.01). There was no significant correlation between PF and NEA (rho=0.15; p=0.07). PA had direct correlation with NEA (rho=0.34; p=<0.01) and general health (rho=0.65; p=<0.01) also having inverse correlation with each of age (rho=-0.58; p=<0.01) and education attainment (rho=-0.17; p=0.04) of the participants. There was inverse correlation between age and PF (rho=-0.63; p=<0.01) and each of NEA (rho=-0.19; p=0.02) and general health (rho=-0.57; p=<0.01) of the participants. Conclusion: Older adults dwelling in Asaba, Delta State, Nigeria had adequate PA, dependent in PF and moderate NEA. Their PA correlated with each of their PF and NEA. This suggests that improvement of PA among older adults ameliorate their problem with PF and NEA.
VL  - 8
IS  - 1
ER  -

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Author Information

Ogbutor Udoji Godsday

Department of Physiotherapy, Federal Medical Centre, Asaba, Nigeria
Olisa Chisom Kingsley

Department of Physiotherapy, Federal Medical Centre, Asaba, Nigeria
Ephraim Chukwuemeka

Department of Physiotherapy, Federal Medical Centre, Asaba, Nigeria
Kizito Bright

Department of Physiotherapy, Federal Medical Centre, Asaba, Nigeria
Ezunu Emmanuel

Department of Internal Medicine, Federal Medical Centre, Asaba, Nigeria
Nworah Awele Maria

Department of Physiotherapy, Federal Medical Centre, Asaba, Nigeria
Nwangwa Eze Kingsley

Department of Human Physiology, Faculty of Basic Medical Sciences, Delta State University, Abraka, Nigeria

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Ogbutor Udoji Godsday, Olisa Chisom Kingsley, Ephraim Chukwuemeka, Kizito Bright, Ezunu Emmanuel, et al. (2023). Physical Activity, Physical Function and Neighborhood Environment Adaptation Among Older Adults Dwelling in Asaba, Delta State, Nigeria. Advances in Applied Physiology, 8(1), 1-7. https://doi.org/10.11648/j.aap.20230801.11

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Ogbutor Udoji Godsday; Olisa Chisom Kingsley; Ephraim Chukwuemeka; Kizito Bright; Ezunu Emmanuel, et al. Physical Activity, Physical Function and Neighborhood Environment Adaptation Among Older Adults Dwelling in Asaba, Delta State, Nigeria. Adv. Appl. Physiol. 2023, 8(1), 1-7. doi: 10.11648/j.aap.20230801.11

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AMA Style

Ogbutor Udoji Godsday, Olisa Chisom Kingsley, Ephraim Chukwuemeka, Kizito Bright, Ezunu Emmanuel, et al. Physical Activity, Physical Function and Neighborhood Environment Adaptation Among Older Adults Dwelling in Asaba, Delta State, Nigeria. Adv Appl Physiol. 2023;8(1):1-7. doi: 10.11648/j.aap.20230801.11

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@article{10.11648/j.aap.20230801.11,
  author = {Ogbutor Udoji Godsday and Olisa Chisom Kingsley and Ephraim Chukwuemeka and Kizito Bright and Ezunu Emmanuel and Nworah Awele Maria and Nwangwa Eze Kingsley},
  title = {Physical Activity, Physical Function and Neighborhood Environment Adaptation Among Older Adults Dwelling in Asaba, Delta State, Nigeria},
  journal = {Advances in Applied Physiology},
  volume = {8},
  number = {1},
  pages = {1-7},
  doi = {10.11648/j.aap.20230801.11},
  url = {https://doi.org/10.11648/j.aap.20230801.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.aap.20230801.11},
  abstract = {Background: Consequent upon the increasing pressure on health system created by growing population of older adults, attention has been channeled to ways to smoothen the aging process among older adults including studying on their physical activity (PA), physical function (PF) and neighborhood environment adaptation (NEA). This study aimed to determine the level and interrelationships between PA, PF and NEA among older adults dwelling in Asaba, Delta State, Nigeria. Methodology: This is a cross sectional study involving 150 older adults (56% females; mean age = 72.57±6.32 years) consecutively recruited from communities in Asaba, Delta State, Nigeria. The International Physical Activity Questionnaire, the Physical Function Activity Scale (SF-36) and Physical Activity Neighborhood Environment scale in Nigeria (PANES-N) were used to assess physical activity, physical function and neighborhood environment adaptation among the participants respectively. Data was analyzed using frequency counts, percentages, mean, standard deviation and spearman’s correlation test at alpha level of 0.05. Results: The mean total of PA, PF, and NEA scores were 1324±1124.35MET-min/week (adequate), 60.58±17.44 (dependent), 2.32±0.27 (moderate) respectively. PF had direct correlation with PA (rho=0.69; p=<0.001) and general health (rho=0.51; p=<0.01). There was no significant correlation between PF and NEA (rho=0.15; p=0.07). PA had direct correlation with NEA (rho=0.34; p=<0.01) and general health (rho=0.65; p=<0.01) also having inverse correlation with each of age (rho=-0.58; p=<0.01) and education attainment (rho=-0.17; p=0.04) of the participants. There was inverse correlation between age and PF (rho=-0.63; p=<0.01) and each of NEA (rho=-0.19; p=0.02) and general health (rho=-0.57; p=<0.01) of the participants. Conclusion: Older adults dwelling in Asaba, Delta State, Nigeria had adequate PA, dependent in PF and moderate NEA. Their PA correlated with each of their PF and NEA. This suggests that improvement of PA among older adults ameliorate their problem with PF and NEA.},
 year = {2023}
}

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TY  - JOUR
T1  - Physical Activity, Physical Function and Neighborhood Environment Adaptation Among Older Adults Dwelling in Asaba, Delta State, Nigeria
AU  - Ogbutor Udoji Godsday
AU  - Olisa Chisom Kingsley
AU  - Ephraim Chukwuemeka
AU  - Kizito Bright
AU  - Ezunu Emmanuel
AU  - Nworah Awele Maria
AU  - Nwangwa Eze Kingsley
Y1  - 2023/01/09
PY  - 2023
N1  - https://doi.org/10.11648/j.aap.20230801.11
DO  - 10.11648/j.aap.20230801.11
T2  - Advances in Applied Physiology
JF  - Advances in Applied Physiology
JO  - Advances in Applied Physiology
SP  - 1
EP  - 7
PB  - Science Publishing Group
SN  - 2471-9714
UR  - https://doi.org/10.11648/j.aap.20230801.11
AB  - Background: Consequent upon the increasing pressure on health system created by growing population of older adults, attention has been channeled to ways to smoothen the aging process among older adults including studying on their physical activity (PA), physical function (PF) and neighborhood environment adaptation (NEA). This study aimed to determine the level and interrelationships between PA, PF and NEA among older adults dwelling in Asaba, Delta State, Nigeria. Methodology: This is a cross sectional study involving 150 older adults (56% females; mean age = 72.57±6.32 years) consecutively recruited from communities in Asaba, Delta State, Nigeria. The International Physical Activity Questionnaire, the Physical Function Activity Scale (SF-36) and Physical Activity Neighborhood Environment scale in Nigeria (PANES-N) were used to assess physical activity, physical function and neighborhood environment adaptation among the participants respectively. Data was analyzed using frequency counts, percentages, mean, standard deviation and spearman’s correlation test at alpha level of 0.05. Results: The mean total of PA, PF, and NEA scores were 1324±1124.35MET-min/week (adequate), 60.58±17.44 (dependent), 2.32±0.27 (moderate) respectively. PF had direct correlation with PA (rho=0.69; p=<0.001) and general health (rho=0.51; p=<0.01). There was no significant correlation between PF and NEA (rho=0.15; p=0.07). PA had direct correlation with NEA (rho=0.34; p=<0.01) and general health (rho=0.65; p=<0.01) also having inverse correlation with each of age (rho=-0.58; p=<0.01) and education attainment (rho=-0.17; p=0.04) of the participants. There was inverse correlation between age and PF (rho=-0.63; p=<0.01) and each of NEA (rho=-0.19; p=0.02) and general health (rho=-0.57; p=<0.01) of the participants. Conclusion: Older adults dwelling in Asaba, Delta State, Nigeria had adequate PA, dependent in PF and moderate NEA. Their PA correlated with each of their PF and NEA. This suggests that improvement of PA among older adults ameliorate their problem with PF and NEA.
VL  - 8
IS  - 1
ER  -

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