Nijerya’lı kadınlarda fiziksel aktivite görülme sıklığı: sosyodemografik özellikler, kişisel tutumlar ve psikososyal faktörler rol oynar mı?

Abstract

Amaç: Fiziksel aktivite yetersizliği ile ilişkili spesifik kadın tutum ve davranışlarını çok az çalışma incelemiştir. Bu çalışmada, Nijerya’lı kadınlarda, fiziksel aktivite yetersizliğinin görülme sıklığı ve kadınların kişisel özellikleri ve psikososyal faktörlerle ilişkisi incelendi.

Yöntem: Bu kesitsel anket çalışmasına Nijerya, Osun Eyaleti, Ile-Ife'den 18-65 yaşları arasında 1560 kadın katıldı. Çalışmaya alınanları belirlemek için çok aşamalı bir örnekleme tekniği kullanıldı. Kadınların sosyo-demografik özellikleri, kişisel tutumları, doğum sayısı ve menopoz durumu hakkında veriler elde edildi. Uluslararası Fiziksel Aktivite Anketi kullanılarak son yedi gündeki fiziksel aktivite seviyeleri değerlendirildi. Öz yeterlik, sosyal destek ve algılanan egzersiz bariyeri gibi psikososyal faktörler geçerliliği onaylanmış anketler kullanılarak değerlendirildi.

Bulgular: Görüşülen kişiler arasında fiziksel aktivite yetersizliğinin görülme sıklığı % 32,5 idi. Sonuçlar, yaşlı kadınların (OR=0.49), yüksek gelirli kadınların (OR=0.54), menopozdan sonrası dönemdeki kadınların (OR=0.34), birden fazla doğum yapan kadınların (OR=0.58) ve algılanan bariyeri yüksek olan kadınların (OR=0.34) fiziksel olarak aktif olma olasılığının da daha düşük olduğunu gösterdi. Bunun aksine, yüksek eğitim düzeyi (OR=2.16) ve öz yeterliğine sahip olan kadınların ise (OR=2.12) fiziksel olarak daha aktif olduğu kaydedildi.

Sonuç: Ankete katılan Nijeryalı kadınlar arasında fiziksel aktivite yetersizliği görülme sıklığı, sosyodemografik özellikler ve kadınların kişisel özelliklerine göre farklılık göstermektedir. Birden fazla doğum yapma, menopozal durum ve psikososyal faktörler fiziksel inaktivite ile anlamlı şekilde ilişkiliydi.

Keywords

• Fiziksel aktivite yetersizliği,Kadının tutumu,Nijerya’lı kadın

Prevalence of physical inactivity among Nigerian women: do socio-demographic characteristics, women’s personal attributes and psychosocial factors play any role?

Abstract

Purpose: Few studies have examined specific women’s attributes and factors associated with physical inactivity. This study investigated the prevalence of physical inactivity and its associations with women's personal characteristics and psychosocial factors among Nigerian women.

Methods: This cross-sectional survey recruited 1560 women whose ages ranged between 18 and 65 years from Ile - Ife, Osun State, Nigeria. A multi-stage sampling technique was used to recruit the respondents. Data on socio-demographic characteristics, women’s personal attributes including parity and menopausal status were obtained. Physical activity was assessed using the International Physical Activity Questionnaire over the last seven days. Psychosocial factors including selfefficacy, social support, and perceived exercise barrier were evaluated using validated questionnaires.

Results: Prevalence of physical inactivity among respondents was 32.5%. The results showed that older women (OR=0.49), those with a high income (OR=0.54), post-menopausal (OR=0.34), multiparous women (OR=0.58), those with a high perceived barrier (OR=0.34) were less likely to be physically active. However, women with high educational level (OR=2.16) and those with high self-efficacy (OR=2.12) were more likely to be physically active.

Conclusion: The prevalence of physical inactivity among Nigerian women differs across socio-demographic characteristics and women’s personal attributes. Multi-parity, menopausal status, and psychosocial factors were significantly associated with physical inactivity. 

Keywords

• Physical inactivity,Women’s attribute,Nigerian women

References

1. 1. Mathers CD, Lopez AD and Murray CJL. The Burden of Disease and Mortality by Condition: Data, Methods, and Results for 2001. Chapter 3. In: Global Burden of Disease and Risk Factors. Lopez AD, Mathers CD, Ezzati M, Jamison DT, Murray CJL, eds. Washington (DC): World Bank; 2006.
2. 2. Trends in Maternal Mortality: 1990 to 2008. Estimates Developed by WHO, UNICEF, UNFPA and the World Bank. Geneva: WHO, 2010.
3. 3. Lloyd-Jones D, Adams RJ, Brown TM, et al. On Behalf of the American Heart Association Statistics Committee and Stroke Statistics Subcommittee. Heart Disease and Stroke Statistics- 2010 Update. A Report from the American Heart Association. Circulation. 2010;121:e1-170.
4. 4. BeLue R, Okoror TA, Iwelunmor J, et al. An overview of cardiovascular risk factor burden in sub-Saharan African countries: a socio-cultural perspective. Global Health. 2009;5:10. doi:10.1186/1744-8603-5-10.
5. 5. Global health risks. Mortality and burden of disease attributable to selected major risks. 2009. http://www.who.int/healthinfo/global_burden_di sease/GlobalHealthRisks_report_full. pdf (accessed August 18, 2013).
6. 6. Schmitt NM, Nicholson WK, Schmitt J. The association of pregnancy and the development of obesity - results of a systematic review and meta-analysis on the natural history of postpartum weight retention. Int J Obes. 2007;11:1642-1651.
7. 7. Ohlin A, Rossner S. Factors related to body weight changes during and after weight development study. Obes Res. 1996;4:271-276.
8. 8. Awotidebe TO, Adedoyin RA, Olola IL, et al. Cardiovascular risk profile of post-menopausal women in a semi-urban community in Nigeria. Br J Med Med Res. 2014;4:4780-4790.

9. 9. Canadian Fitness and Lifestyle Research Institute. National Population Health Survey Ottawa (ON): Canadian Fitness and Lifestyle Research Institute, 1999.
10. 10. Warburton DER, Nicol CW, Bredin SSD. Health benefits of physical activity: the evidence CMAJ. 2006;174:801-809.
11. 11. Lucas JW, Schiller JS, Benson V. Summary health statistics for U.S. adults: National Health Interview Survey, 2001. Vital Health Stat 10. 2004;(218):1-134
12. 12. Bassuk SS, Manson JE. Physical activity and cardiovascular disease prevention in women: a review of the epidemiologic evidence. Nutr Metab Cardiovasc Dis. 2010;20:467-473.
13. 13. Hallal PC, Wells JC, Eichert FF, et al. Early determinants of physical activity in adolescence: prospective birth cohort study. BMJ. 2006;10:1002-1007.
14. 14. Guthold R, Louazani SA, Riley LM, et al. Physical activity in 22 African countries: results from the World Health Organization STEPwise approach to chronic disease risk factor surveillance. Am J Prev Med. 2011;41:52-60.
15. 15. Awotidebe TO, Adedoyin RA, Adegbesan OA, et al. Psychosocial correlates of physical activity participation among Nigerian university students. Int J Sports Sci. 2014;4:205-211.
16. 16. Bandura A. Health Promotion by Social Cognitive Means. Health Edu Behav 2004;31:143-164.
17. 17. Wolin KY, Bennett GG, McNeill LH, et al. Low discretionary time as a barrier to physical activity and intervention uptake. Am J Health Behav. 2008;32:563-569.
18. 18. Saligheh M, McNamara B, Rooney R. Perceived barriers and enablers of physical activity in postpartum women: a qualitative approach. BMC Pregnancy Childbirth. 2016;16:131.
19. 19. Adedoyin RA, Mbada CE, Bisiriyu LA, et al. Relationship of anthropometric indicators with blood pressure levels and the risk of hypertension in Nigeria adults. Int J Gen Med. 2008;1:33-40.
20. 20. Craig CL, Marshall AL, Sjöström M, et al. International physical activity questionnaire: 12-country reliability and validity. Med Sci Sports Exerc. 2003;35:1381-1395.
21. 21. Oyeyemi AL, Oyeyemi AY, Adegoke BO, et al. Cross cultural adaptation of the International Physical Activity Questionnaire: Reliability and validity of the Hausa version in Nigeria. BMC Med Res Methodol 2011;11:156.
22. 22. Global recommendations on physical activity for health. 2010. http://whqlibdoc.who.int/publications/2010/9789 241599979_eng.pdf. 2010. (Accessed July 14, 2012).
23. 23. Bandura A. Self-efficacy: the exercise of control. New York, NY: Freeman; 1997.
24. 24. Sherbourne CD, Stewart AL. The Medical Outcomes Survey Social Support Survey. Soc Sci Med. 1991;32:705-714.
25. 25. Sechrist KR, Walker SN, Pender NJ. Development and psychometric evaluation of the Exercise Benefits/Barriers Scale. Res Nurs Health. 1987;10:357-365.
26. 26. Bergman P, Grjibovski AM, Hagströmer M, et al. Adherence to physical activity recommendations and the influence of sociodemographic correlates-a population-based cross-sectional study. BMC Public Health. 2008;8:367.
27. 27. Zhang J, Feldblum PJ, Fortney JA. Moderate physical activity and bone density among perimenopausal women. Am J Public Health. 1992;82:736-738.
28. 28. Bauman A, Bull F, Chey T, et al; IPS Group. The International Prevalence Study on Physical Activity: Results from 20 countries. Int J Behav Nutr Phys Act. 2009;6:21.
29. 29. Al-Tannir M, Kobrosly S, Itani T, et al. Prevalence of physical activity among Lebanese Adults: A cross-sectional study. J Phys Act Health. 2009;6:315-320.
30. 30. Pan SY, Cameron C, DesMeules M, et al. Individual, social, environmental, and physical environmental correlates with physical activity among Canadians: A cross-sectional study. BMC Public Health. 2009;9:21-29.
31. 31. Sugiyama T, Salmon J, Dunstan DW, et al. Neighborhood walkability and TV viewing time among Australian adults. Am J Prev Med. 2007;33(6):444-449.
32. 32. Baker EA, Brennan LK, Brownson RC, et al. Measuring the determinants of physical activity in the community: current and future directions. Res Q Exerc Sport. 2000;71:146-158.
33. 33. Miller Y, Trost S, Brown W. Mediators of physical activity behavior change among women with young children. Am J Prev Med 2002;23(Suppl 1):98-103.
34. 34. Manios Y, Panagiotakos DB, Pitsavos C, et al. Implication of socio-economic status on the prevalence of overweight and obesity in Greek adults: the ATTICA study. Health Policy. 2005;74:224-232.
35. 35. Cerin E, Leslie E. How Socio-economic status contributes to participation in leisure-time physical activity. Soc Sci Med. 2008; 66:2596-2609.
36. 36. Winkleby MA, Jatulis SE, Frank E, et al. Socioeconomic status and health: how education, income, and occupation contribute to risk factors for cardiovascular disease. Am J Public Health. 1992; 82:816 -820.
37. 37. Bell S, Lee C. Emerging adulthood and patterns of physical activity among young Australian women. Int J Behav Med. 2005;12(4):227-235.
38. 38. Jones C, Burns S, Howat P, et al. Playgroups as a setting for nutrition and physical activity interventions for mothers with young children: exploratory qualitative findings. Health Promot J Aust. 2010;21:92-98.
39. 39. Smith D, Lewis CJ, Carvery J, et al. Longitudinal changes in adiposity association with pregnancy. The CARDIA study. JAMA. 1994;271:1747-1751.
40. 40. Kanaya AM, Vittinghoff E, Shlipak MG, et al. Association of total and central obesity with mortality in postmenopausal women with coronary heart disease. Am J Epidemiol. 2003;158:1161-1170.
41. 41. Matthews KA, Schott LL, Brockwell S, et al. Depressive symptoms during the menopausal transition: the study of women’s health across the nation (SWAN). J Affect Disord. 2007;103:267-272.
42. 42. Centers for Disease Control and Prevention, Division of Nutrition, Physical Activity and Obesity, National Center for Chronic Disease Prevention and Health Promotion: US Physical Activity Statistics. http://apps.nccd.cdc.gov/PASurveillance/DemoCompareResultV.asp#result, 2011.
43. 43. Bush TL. The epidemiology of cardiovascular disease in postmenopausal women. Ann N Y Acad Sci. 1990;592:263-271.
44. 44. Crawford SB, Johannes CB. The epidemiology of cardiovascular disease in postmenopausal women. J Clin Endocrinol Metab. 1999;84:1803- 1806.
45. 45. Hinton PS, Olson CM. Postpartum exercise andfood intake: the importance of behavior-specific self-efficacy. J Am Diet Assoc. 2001;101:1430-1437.
46. 46. Manson JE, Greenland P, La Croix AZ, et al. Walking compared with vigorous exercise for the prevention of cardiovascular events in women. N Engl J Med. 2002;347:716-725.
47. 47. McAuley E, Mullen SP, Szabo AN, et al. Selfregulatory processes and exercise adherence in older adults: executive function and self-efficacy effects. Am J Prev Med. 2011;41:284-290.
48. 48. Cohen-Mansfield J, Marx MS, Guralnik JM. Motivators and barriers to exercise in an older community-dwelling population. J Aging Phys Act. 2003;2:242-253.
49. 49. McAuley E, Jacobson L. Self-efficacy and exercise participation in sedentary adult female. Am J Health Prom. 1991;5:185-191.
50. 50. Lirgg CA. Gender differences in self-confidence in physical activity: A meta-analysis of recent studies. J Sport Exerc Psych. 1991;18:294-310.