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1.
PeerJ ; 11: e15237, 2023.
Article in English | MEDLINE | ID: mdl-37138815

ABSTRACT

Background: Commercial female sex workers (CFSWs) regularly or occasionally trade sex for money. Sex work is widespread, mainly in urban areas of Ethiopia. The study on the nutritional status of CFSWs is unavailable in Ethiopia, and data are also scanty at the global level. This study aims to assess nutritional status and associated factors among CFSWs in Hawassa city, Ethiopia. Methods: This cross-sectional study used facility-based mixed data collection methods (qualitative and quantitative). The study was conducted in three key population clinics in Hawassa city. A total of 297 CFSWs were randomly selected for the 'quantitative survey,' and twelve (n = 12) purposively selected participants were involved in the 'qualitative study.' Body mass index/BMI (Kg/m2) was used in assessing the nutritional status of CFSWs. Statistical software packages were used for analyzing both quantitative and qualitative data. Significant variables (P<0.05) in bivariate analysis (Chi-square test) were incorporated in the multivariable analyses. Multinomial logistic regression (MNLR) was employed where dependable variable like 'normal BMI' (18.5-24.9 kg/m2) was set as a reference category and simultaneously compared with 'underweight' (<18.5 BMI) and 'overweight/obesity' (≥ 25 BMI) categories. Thus, two models, namely the underweight model (model-1: Underweight versus normal BMI) and the overweight/obesity model (model-2: overweight/obesity versus normal), were generated. Results: The prevalence of underweight and overweight/obesity among CFSWs in Hawassa city were respectively 14.1% and 16.8%. Living alone (Adjusted odds ratio/AOR = 0.18), chewed Khat regularly (AOR = 0.23), used drugs regularly (AOR = 10.57), used drugs in exchange of sex (AOR = 4.97), and HIV positive status (AOR = 21.64) were significantly (P < 0.05) associated with underweight (model-1). In the overweight/obesity model-2, having jobs other than sex work (AOR = 0.11), higher daily mean income (AOR = 3.02), being hotel/home-based CFSWs (AOR = 12.35), and presence of any chronic illness (AOR = 5.15) were significant (P < 0.05) predictors of overweight/obesity. From the 'qualitative part' of this study, it was also revealed that 'lack of food and money' was the main influencing factor among CFSWs to enter into the sex business. Conclusions: Commercial female sex workers in this study faced a double burden of malnutrition. Multiple factors influenced their nutritional status. Substance abuse and HIV-positivity are the most significant predictors of being underweight and having higher income, being hotel/home-based CFSWs, and suffering from any chronic illness are associated with overweight/obesity. Government and other partners should be essential in providing comprehensive programs focusing on sexual, reproductive health, and nutrition education. Steps should be taken to improve their socioeconomic status and strengthen those good initiatives at key population clinics and other health facilities.


Subject(s)
Nutritional Status , Sex Workers , Humans , Female , Overweight/epidemiology , Ethiopia/epidemiology , Cross-Sectional Studies , Obesity/epidemiology , Thinness/epidemiology
2.
PLoS One ; 17(1): e0262077, 2022.
Article in English | MEDLINE | ID: mdl-35061761

ABSTRACT

BACKGROUND: Uterine prolapse is an important but neglected public health problem that causes maternal morbidity and mortality in women of reproductive age in low- and middle-income countries, including Ethiopia. However, little data are available concerning uterine prolapse in Ethiopia. The objective of this study was to assess the prevalence of and factors associated with uterine prolapse in women of reproductive age in Ethiopia. METHODS: A community-based cross-sectional study was conducted in Loma Woreda, Dawro, south-west Ethiopia, in November and December 2019. Four hundred and twenty-two randomly selected women of reproductive age participated in the study. Face-to-face interviews with a pre-structured questionnaire collected data, and diagnoses were made clinically. Epi Data v3.2.1 and SPSS v24 were used for data entry, processing, and analysis. Binary logistic regression was used to determine associations between dependent and independent variables. Variables with P-values less than 0.25 in bivariate logistic regression were further examined using multivariate logistic regression to investigate associations between the dependent variable and independent variables. RESULTS: The mean age of respondents was 35.4 ±7.994 years. The prevalence of symptomatic and anatomical uterine prolapse was 6.6% (28) and 5.9% (25), respectively. The prevalence of anatomical prolapse was used as a reference when determining associated factors. Age at first marriage (Adjusted Odd Ratio (AOR): 0.25, 95%CI 0.07, 0.89), place of delivery (AOR: 3.33, 95%CI 1.21, 9.13), birth attendant-assisted delivery (AOR 0.21; 95%CI 0.06, 0.71), and history of abortion (AOR: 2.94, 95%CI 1.08, 7.97) were found significantly and independently associated with the prevalence of uterine prolapse. CONCLUSION: Uterine prolapse is common in women of reproductive age. Age at first marriage, place of delivery, birth attendant-assisted delivery, and history of abortion were independent predictors of the prevalence of uterine prolapse. We recommend that the health system link primary health care to hospital-set for uterine prolapse treatment programs. Health institution delivery should be encouraged by the local government. Early marriage and unwanted pregnancy need to be prevented through appropriate strategies.


Subject(s)
Abortion, Induced , Delivery, Obstetric , Marriage , Uterine Prolapse/epidemiology , Adult , Cross-Sectional Studies , Delivery, Obstetric/methods , Educational Status , Ethiopia/epidemiology , Female , Humans , Interviews as Topic , Logistic Models , Odds Ratio , Prevalence , Risk Factors , Surveys and Questionnaires , Uterine Prolapse/diagnosis , Uterine Prolapse/pathology
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