EC Nutrition

Research Article Volume 18 Issue 6 - 2023

Impacts of Frequency of Food Consumption on BMI of Adult Nigerians

AS Adekoya1,2,3* and CI Ojo3

1SAM Obesity Consult, Nigeria
2Oasis High School, Abeokuta, Nigeria
3Federal Cooperative College, Ibadan, Nigeria
*Corresponding Author: AS Adekoya, SAM Obesity Consult, Nigeria.
Received: April 09, 2023; Published: July 11, 2023

Frequency of consumption of energy dense foods can lead to the prevalence of obesity and associated metabolic diseases. Obesity epidemic is still increasing globally, with its accompanying environmental pressures. This study focused on assessing the impacts of total energy intake, body mass index and frequency of food consumption on BMI among adults (aged 20 - 64 years) population in Abeokuta, Ogun State, Nigeria. The study gathered information on total energy intake using 24hr dietary recall to determine the caloric intake (kcal/d) compared with Recommended Daily Allowance (RDA). The Body Mass Index (BMI) using cut off ≥ 30 kg/m2 and food consumption frequency was obtained on daily and weekly basis on food groups consumed. The results showed the energy intake levels of range between 3379 - 3507 kcal/d for rural males, 1366 - 2864 kcal/d for rural females; and 3416 - 3798 kcal/d for urban males, 2331 - 2924 kcal/d for urban females. Both urban and rural males and females had average BMIs of less than 30 kg/m2, putting them in the overweight category. The frequency of food consumption (predominantly energy-dense foods) is seen to be on the high side, which reflects as moderately high BMI of the respondents. The findings is reflective of the obesity pandemic in the developing countries compared to developed countries that are already in nutrition transition.

Keywords: Food Consumption; BMI; Adult Nigerians

  1. Berthoud HR., et al. “The obesity epidemic in the face of homeostatic body weight regulation: What went wrong and how can it be fixed?” Physiology and Behavior 222 (2020): 112959.
  2. Berthoud HR., et al. “Learning of food preferences: mechanisms and implications for obesity and metabolic diseases”. International Journal of Obesity 45 (2021): 2156-2168.
  3. Seeley RJ and Berthoud HR. “Neural and metabolic control of macronutrient selection: consensus and controversy”. In: Berthoud HR, Seeley RJ, editors. Neural and metabolic control of macronutrient intake. CRC Press: Boca Raton (2000): 489-496.
  4. World Health Organization. “BMI classification” (2018).
  5. Allender S., et al. “A community based systems diagram of obesity causes”. PLoS One 10 (2015): e0129683.
  6. CI Ojo AS Adekoya., et al. “Total energy intake and frequency of food consumption in relation to Body Mass Index of adult population in Nigeria”. Int’l Journal of Innovative Science and Research Technology7 (2021): 1025-1029.
  7. Gorboulev V., et al. “Na(+)-D-glucose cotransporter SGLT1 is pivotal for intestinal glucose absorption and glucose-dependent incretin secretion”. Diabetes 61 (2012): 187-196.
  8. World Health Organization. Field Guide on Rapid Nutritional Assessment in Emergencies (1995).
  9. Tefft ME and Boniface DR. “Estimating food and nutrient intake from food frequency questionnaire data by reference to a standard weighed diet survey”. Journal of Human Nutrition and Dietetics 13 (2000): 219-224.
  10. Wrieden W., et al. A Short Review of Dietary Assessment Methods Used in National and Scottish Research Studies (2003).
  11. Anyzewska A., et al. “Nutritional assessment in Polish men with cardiovascular diseases”. Annals of the National Institute of Hygiene 64 (2013): 211-215.
  12. Wang B., et al. “Nutritional assessment with different tools in leukemia patients after hematopoietic stem cell transplantation”. Chinese Journal of Cancer Research 25 (2013): 762-769.
  13. Oguntona EB and Akinyele IO. Nutrient Compositions of Commonly eaten foods in Nigeria-Raw, processed and prepared – FBFI, Ibadan (1995).
  14. Menard S. “Coefficients of determination for multiple logistic regression analysis”. American Statistical Association 54 (2000): 17-24.
  15. R Core Team R. “A language and environment for statistical computing”. Vienna, Austria: R Foundation for Statistical Computing (2014).
  16. Stata Corp. “Stata Multiple-Imputation Reference Manual Release 13”. College Station, TX: Stata Corp LP (2013).
  17. Boyland EJ and Whalen R. “Food advertising to children and its effects on diet: review of recent prevalence and impact data”. Pediatric Diabetes 16 (2015): 331-337.
  18. Sadeghirad B., et al. “Influence of unhealthy food and beverage marketing on children’s dietary intake and preference: a systematic review and meta-analysis of randomized trials”. Obesity Reviews 17 (2016): 945-959.
  19. AS Adekoya., et al. “Effects of BMI on Occupation and Employment Status: An Adult Nigerians Study". Acta Scientific Nutritional Health5 (2022).
  20. AS Adekoya., et al. “Relationship between Educational Level and Incidence of Obesity among Adults in Abeokuta, Ogun State, Nigeria". Acta Scientific Medical Sciences8 (2020): 136-142.
  21. AS Adekoya., et al. “Independent Effects of Age and Energy Expenditure on Obesity among Adults in Abeokuta, Ogun State, Nigeria”. EC Nutrition12 (2019): 01-06.

AS Adekoya and CI Ojo. "Impacts of Frequency of Food Consumption on BMI of Adult Nigerians". EC Nutrition 18.6 (2023): 01-08.