Functional Diarrhoea in a Nigerian Community: Prevalence, Risk Factors and Associated Quality of Life

Abstract

Introduction: Diarrhoea, in general, is well investigated but the epidemiology of Functional Diarrhoea (FDr) as a disease entity has not been adequately evaluated globally, and more especially, in the sub-Saharan African population. Aim: To determine the prevalence and risk factors of FDr, and the associated quality of life in a Nigerian community. Materials and Methods: The study was a community-based cross-sectional survey involving 515 consenting adults aged 18-70 years. Data collection was done from February to March 2019. Ten participants were excluded because of inappropriately filled questionnaires, thus leaving a total of 505 subjects. The research instrument contained sociodemographic information, the Rome IV Functional Bowel Disorder questionnaire, the Short Form 12, version 2 Health Survey (SF-12v2) questionnaire, the Beck Depression and Anxiety Inventories, the Pittsburgh Sleep Quality Index (PSQI), and the Early Trauma Inventory-Self Report. Respondents who were positive for FDr were the cases while those who had no FDr were the controls in the data analysis. Independent Student t-test was used to compare means. The odds ratios of prospective risk factors of FDr were calculated with logistic regression. Odds Ratios (OR) >1 and p-value ≤0.05 were considered significant. Results: The mean age of the participants was 32.7±12.9 years. Six participants {1.2% (95% CI, 0.4%-2.4%)} had FDr with a 1:2 Male/Female ratio. Functional diarrhoea had a statistically significant association with depression (18.0±12.8 vs 8.2±9.5, p-value=0.021) only among the possible risk factors considered. The mean SF-12v2 scale scores, except Vitality, were lower in subjects with FDr than the controls, though only Social Functioning was statistically significant (p-value=0.003). Conclusion: The prevalence of FDr is low in the present study population. The disease is associated with depression and it impacts the Health-Related Quality of Life (HRQoL) negatively.

Factors Associated with the Health-Related Quality of Life of Malaysian Young Adults Post-Pandemic

“…In our study, poor sleep quality was found to be correlated with most QOL domains, if not all domains, across all weight categories. Past research has consistently demonstrated this relationship in the general population [ 51 , 52 , 53 ] and within specific age groups [ 54 , 55 , 56 , 57 , 58 ]. Disrupted sleep patterns can lead to fatigue, mood disturbances, and decreased cognitive function, detracting from overall QOL [ 59 ].…”