EC Nutrition

Introduction: The influence of socio-economic factors on overweight and obesity remains a complex issue. The effect of all these factors across varies across nation, whether developing countries or developed countries. This study aimed at evaluating the influence of marital status on BMI level.

Materials and Methods: 240 respondents were studied cross-sectionally in the rural and urban localities of Abeokuta, Ogun State, Nigeria. Socio-economic variables such as education, profession, occupation, employment, disposable income, residence, marital status, financial aid, age sex, heritage were obtained and assessed. The anthropometric measurements of weight and height were measured to compute the Body Mass Index (BMI kg/m²) of the respondents). Descriptive statistics of numbers, percentages and mean ± standard deviation were constructed.

Results: The mean weight for rural subjects males and females, were 75.6 ± 8.11 kg and 81.5 ± 9.60 kg respectively. The mean BMI was higher among the rural married group (32.44 ± 3.36 kg/m² for males) than the urban married group (30.15 ± 4.59 kg/m² for males). The mean BMI was higher among the urban single/ never married/unmarried group (36.11 ± 5.13 kg/m² for females) than the rural single/never married/unmarried group (30.01 ± 4.13 kg/m² for females).

Conclusions: The Body Mass Index increased differently across the marital status groups, when compared. The values are higher among the females than the males in each of the groups, but much more prominent increase among the widow/divorce/separate. This can be said to be due to sedentary or less stress nature of this group of respondents increased health literacy, nutrition education and relationship is advocated for this vulnerable group.

Keywords: BMI; Weight; Marital Status; Obesity

1. AS Adekoya., et al. “Effects of BMI on Occupation and Employment Status: An Adult Nigerians Study". Acta Scientific Nutritional Health5 (2022).
2. 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.
3. 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.
4. Erik S., et al. “The association between socioeconomic factors and weight loss 5 years after gastric bypass surgery”. International Journal of Obesity 44 (2020): 2279-2290.
5. Ortega E., et al. “Predictive factors of excess body weight loss 1 year after laparoscopic bariatric surgery”. Surgical Endoscopy 26 (2012): 1744-1750.
6. Seyssel K., et al. “A predictive model of weight loss after Roux-en-Y gastric bypass up to 5 years after surgery: a useful tool to select and manage candidates to bariatric surgery”. Obesity Surgery 28 (2018): 3393-3939.
7. Al-Khyatt W., et al. “Predictors of inadequate weight loss after laparoscopic gastric bypass for morbid obesity”. Obesity Surgery 27 (2017): 1446-1452.
8. Wood GC., et al. “Evaluation of the association between preoperative clinical factors and long-term weight loss after Roux-en-Y gastric bypass”. JAMA Surgery 151 (2016): 1056-1062.
9. Chang WW., et al. “Factors influencing long-term weight loss after bariatric surgery”. Surgery for Obesity and Related Diseases Journal 15 (2019): 456-461.
10. Sillen L and Andersson E. “Patient factors predicting weight loss after Roux-en-Y gastric bypass”. Journal of Obesity (2017): 3278751.
11. Adams ST., et al. “Rouxen- Y gastric bypass for morbid obesity: what are the preoperative predictors of weight loss?” Postgraduate Medical Journal 89 (2013): 411-416.
12. Alfa Wali M., et al. “Is social deprivation associated with weight loss outcomes following bariatric surgery? A 10-year single institutional experience”. Obesity Surgery 24 (2014): 2126-2132.
13. Courtney PM., et al. “Socioeconomic risk adjustment models for reimbursement are necessary in primary total joint arthroplasty”. The Journal of Arthroplasty 32 (2017): 1-5.
14. Mahal BA., et al. “Incidence and determinants of 1-month mortality after cancer-directed surgery”. Annals of Oncology 26 (2015): 399-406.
15. Goljo E., et al. “Racial, ethnic, and socioeconomic disparities in pituitary surgery outcomes”. Laryngoscope 126 (2016): 808-814.
16. Stenberg E., et al. “The impact of socioeconomic factors on the early postoperative complication rate after laparoscopic gastric bypass surgery”. Surgery for Obesity and Related Diseases Journal 15 (2019): 575-581.
17. Gryth K., et al. “The influence of socioeconomic factors on quality of life after laparoscopic gastric bypass surgery”. Obesity Surgery 29 (2019): 3569-3576.
18. Kedestig J and Stenberg E. “Loss to follow-up after laparoscopic gastric bypass surgery-a post hoc analysis of a randomized clinical trial”. Surgery for Obesity and Related Diseases Journal 15 (2019): 880-886.
19. Zarzycka D., et al. “Assessment of differences in psychosocial resources and state of health of rural and urban residents–based on studies carried out on students during examination stress”. Annals of Agricultural and Environmental Medicine 21 (2014): 882-887.
20. Sorensen K., et al. “Health literacy in Europe: comparative results of the European health literacy survey (HLS-EU)”. European Journal of Public Health 25 (2015): 1053-1058.
21. Keren D., et al. “Getting the most from the sleeve: the importance of post-operative follow-up”. Obesity Surgery 21 (2011): 1887-1893.
22. Stata Corp. “Stata Multiple-Imputation Reference Manual Release 13”. College Station, TX: Stata Corp LP (2013).
23. World Health Organization. “BMI classification” (2018).
24. Collaboration NCDRF. “Worldwide trends in body-mass index, underweight, overweight, and obesity from 1975 to 2016: a pooled analysis of 2416 population-based measurement studies in 128.9 million children, adolescents, and adults”. Lancet 390 (2017): 2627-2642.
25. Malik VS., et al. “Nearly a decade on - trends, risk factors and policy implications in global obesity”. Nature Reviews Endocrinology 16 (2020): 615-616.
26. Sorensen K., et al. “Health literacy in Europe: comparative results of the European health literacy survey (HLS-EU)”. European Journal of Public Health 25 (2015): 1053-1058.
27. Berkman ND., et al. “Low health literacy and health outcomes: an updated systematic review”. Annals of Internal Medicine 155 (2011): 97-107.