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Fruit and Vegetable Consumption, Fat Intake, and Physical Activity Participation in Relation to Socio-demographic Factors Among Medically Underserved Adults

Department of Nutrition and Food Systems, The University of Southern Mississippi, Hattiesburg, MS, USA

Special Issues: Health Promotion and Disease Prevention among Most Vulnerable Populations

Fruit and vegetable intake as well as physical activity participation in Mississippi is consistently lower than recommendations. We conducted a cross-sectional study to examine fruit and vegetables consumption, fat intake, and moderate-intensity physical activity participation and how these variables relate to socio-demographic factors among medically underserved adults in south Mississippi. Fruit and vegetable consumption and fat intake along with physical activity participation and socio-demographic characteristics was collected from a sample of 161 (48 male and 113 female) adults in south Mississippi. A majority (81.9%) of participants reported consuming less than five servings of fruits and vegetables per day and 54% reported exercising less than three times a week. Only 14% of participants reported eating a low fat diet. Bivariate correlations revealed no significant relationships between fruit and vegetable consumption and fat intake as well as no significant relationships between fruit and vegetable consumption and gender, ethnicity, income, marital status, or education. However, there were significant correlations between physical activity and fat intake (r = -0.21, p = 0.01), and physical activity with fruit and vegetable consumption (r = 0.16, p = 0.05). Higher physical activity rates were associated with decreased fat intake and increased fruit and vegetable consumption. Physical activity was also higher among men (r = -0.16, p = 0.05) and positively correlated with income level (r = 0.21 p = 0.01). In order to effectively identify or develop strategies to improve health by promoting increased fruit and vegetable intake and physical activity, further research is needed to understand the factors that affect behavior choices regarding nutrition and physical activity in this medically underserved adult population.
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Keywords fat intake; fruit and vegetable; physical activity; medically underserved; south Mississippi

Citation: Amir A. Hadi Alakaam, Jennifer L. Lemacks. Fruit and Vegetable Consumption, Fat Intake, and Physical Activity Participation in Relation to Socio-demographic Factors Among Medically Underserved Adults. AIMS Public Health , 2015, 2(3): 402-410. doi: 10.3934/publichealth.2015.3.402

References

  • 1. Centers for Disease Control and Prevention, (2014) Obesity prevalence maps. Available from: http://www.cdc.gov/obesity/data/prevalence-maps.html
  • 2. Centers for Disease Control and Prevention, (2013) State indicator report on fruits and vegetables, 2013. Atlanta, GA: Centers for Disease Control and Prevention, U.S. Department of Health and Human Services.
  • 3. Rural Policy Research Institute, (2006) Demographic and economic profile: Mississippi. Available from: http://www.rupri.org/Forms/Mississippi.pdf
  • 4. U.S. Census Bureau, (2015) Metropolitan and micropolitan. Available from: http://www.census.gov/population/metro/
  • 5. American Cancer Society, (2012) Cancer facts & figures, 2012. Available from: http://www.cancer.org/research/cancerfactsfigures/cancerfactsfigures/cancer-facts-figures-2012
  • 6. Guh DP, Zhang W, Bansback N, (2009) The incidence of co-morbidities related to obesity and overweight: A systematic review and meta-analysis. BMC Public Health 9: 88-2458-9-88. doi:10.1186/1471-2458-9-88.    
  • 7. Harvest Your Data, 2013 droid SURVEY Product. Available from: https://www.harvestyourdata.com/products/droidsurvey/
  • 8. National Cancer Institute, (2013) Fruit & vegetable screeners in the eating at America's table study (eats): Instruments. Available from: http://appliedresearch.cancer.gov/diet/screeners/fruitveg/instrument.html
  • 9. U.S. Department of Agriculture & U.S. Department of Health and Human Services, (2010) Dietary guidelines for Americans. Washington, DC: U.S. Government Printing Office.
  • 10. Wang Y, Liang H, Chen X, (2009) Measured body mass index, body weight perception, dissatisfaction and control practices in urban, low-income African American adolescents. BMC Public Health 9: 183-2458-9-183. doi:10.1186/1471-2458-9-183.    
  • 11. Fishbein M, Ajzen I, (2005) Theory-based behavior change interventions: Comments on Hobbis and Sutton. Journal of Health Psychology, 10(1): 27-31, discussion 37-43. doi:10/1/27.
  • 12. Alakaam AA, Townsend DE, Lemacks JL, (2014) Body Mass Index perception accuracy related to weight loss stage of change via diet and physical activity, submitted.
  • 13. Carter P, Gray L J, Troughton J, et al. (2010) Fruit and vegetable intake and incidence of type 2 diabetes mellitus: Systematic review and meta-analysis. BMJ (Clinical Research Ed.) 341, c4229. doi:10.1136/bmj.c4229.
  • 14. Law MR, Morris JK, (1998) By how much does fruit and vegetable consumption reduce the risk of ischaemic heart disease? EJCN 52(8): 549-556.
  • 15. Pate RR, Pratt M, Blair SN, et al. (1995) Physical activity and public health: A recommendation from the centers for disease control and prevention and the American college of sports medicine. JAMA 273(5): 402-407.
  • 16. Rock CL, Doyle C, Demark-Wahnefried W, et al. (2012) Nutrition and physical activity guidelines for cancer survivors. CA: A Cancer Journal for Clinicians 62(4): 242-274.
  • 17. Wadden TA, Webb VL, Moran CH, et al (2012) Lifestyle modification for obesity: New developments in diet, physical activity, and behavior therapy. Circulation 125(9): 1157-1170. doi:10.1161/CIRCULATIONAHA.111.039453 [doi]
  • 18. Martínez E, Saldarriaga JF, Sepúlveda FÉ, (2008) Physical activity in medellín: A challenge for health promotion. RFNDSP 26(2): 117-123.
  • 19. Mutikainen S, Helander E, Pietilä J, et al. (2014) Objectively measured physical activity in Finnish employees: A cross-sectional study. BMJ Open 4(12): e005927.
  • 20. Ottevaere C, Huybrechts I, Béghin L, et al. (2011) Relationship between self-reported dietary intake and physical activity levels among adolescents: The HELENA study. Int J Behav Nutr Phys Act 8(8): 1-9.
  • 21. Jago R, Baranowski T, Yoo S, et al. (2004) Relationship between physical activity and diet among African-American girls. Obes Res 12(S9): 55S-63S.
  • 22. Mata J, Silva MN, Vieira PN, et al. (2009) Motivational “Spill-Over” during weight control: Increased self-determination and exercise intrinsic motivation predict eating self-regulation. Health Psychology, 28: 709–716.    
  • 23. Senko C, Hulleman CS, Harackiewicz J M, (2011) Achievement goal theory at the crossroads: Old controversies, current challenges, and new directions. Edu Psych 46(1): 26-47.
  • 24. Vallerand RJ, Ratelle CF, (2002) Intrinsic and extrinsic motivation: A hierarchical model. In Deci E L, Ryan R M, (Eds.),The motivation and self-determination of behavior: TAI. Rochester, NY: University of Rochester Press.
  • 25. Fleig L, Kuper C, Lippke S, et al. (2015) Cross-behavior associations and multiple health behavior change: A longitudinal study on physical activity and fruit and vegetable intake. J Health Psychology 20(5): 525-534.
  • 26. Lippke S, Nigg CR, Maddock JE, (2012) Health-promoting and health-risk behaviors: theory-driven analyses of multiple health behavior change in three international samples. Int J B M 19(1): 1-13.
  • 27. Kang M, Bassett DR, Barreira T V, et al. (2009) How many days are enough? A study of 365 days of pedometer monitoring. Res QES 80(3): 445-453.
  • 28. Hu FB, Stampfer MJ, Manson J E, et al. (1997) Dietary fat intake and the risk of coronary heart disease in women. New Engl J Med 337(21): 1491-1499.

 

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Copyright Info: 2015, Jennifer L. Lemacks, et al., licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution Licese (http://creativecommons.org/licenses/by/4.0)

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