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1.
Int J Environ Health Res ; 33(5): 491-507, 2023 May.
Article in English | MEDLINE | ID: mdl-35168414

ABSTRACT

This study aimed to assess the prevalence, concentration of AFM1 in human breast milk, and to determine the risk of cancer for infants in sub-Saharan Africa. A systematic literature search was performed using PubMed, CINAHL, Web of science, global health, Cochrane, and Google Scholar electronic databases. A random-effects model was used to estimate the pooled prevalence and concentration of AFM1 in breast milk. The meta-analysis of 8 articles containing 9 studies showed the pooled prevalence of AFM1 in breast milk to be 56.18% (95% CI: 29.65-82.71) and the pooled concentration to be 31.12 ng/L (95% CI: 25.97-36.25). The cancer risk assessment indicated for both male and female 1-month infants in Sierra Leone (HI > 1) is high, and all the rest of the infants are free of risk (HI < 1). The pooled prevalence and mean concentration of AFM1 in breast milk is high. Monitoring of AFB1 concentration of commonly used foods will be of high value in reducing the burden of AFM1.


Subject(s)
Milk, Human , Neoplasms , Infant , Humans , Male , Female , Milk, Human/chemistry , Aflatoxin M1/analysis , Prevalence , Food Contamination/analysis , Africa South of the Sahara/epidemiology , Risk Assessment
2.
Curr Med Res Opin ; 38(7): 1259-1266, 2022 07.
Article in English | MEDLINE | ID: mdl-35621150

ABSTRACT

INTRODUCTION: Gestational diabetes mellitus is a type of glucose intolerance that first manifests itself during pregnancy. A pregnant woman and her unborn child are at an increased risk of pregnancy complications and poor neonatal outcomes. Pregnancy diabetes affects one out of every 200 women. Therefore, this study aims to identify the determinants of gestational diabetes mellitus among pregnant women attending an antenatal care service in Gedeo Zone, Ethiopia. METHODS: A facility-based case-control study design was employed from 25 January 2020 through 25 April 2020. The study included 80 cases and 240 control groups of pregnant women. Face-to-face interviews with structured questionnaires were used to collect data. For analyses, data was entered into Epidata version 3.1 and exported to the Statistical Package for the Social Sciences (SPSS) version 23.0. Variables with p .25 or lower in bivariate analysis were fitted to multivariable analysis. A multivariable logistic regression model with a 95% confidence interval and a p-Value of .05 was used. RESULTS: Family history of diabetes mellitus [AOR 1.837; 95% CI (1.06-3.18)], history of spontaneous abortion [AOR 2.39; 95% CI 1.33-4.31), history of still birth [AOR 2.240 (1.222-4.105)], and history of delivery of a macrocosmic baby in the previous pregnancy [AOR 1.99 (1.157-3.43)] were found to be predictors of GDM. CONCLUSION: Previous adverse pregnancy outcomes were found to be the main predictors of GDM. Women with gestational diabetes mellitus should be followed after delivery in order to monitor hyper-glycemic status.


Subject(s)
Diabetes, Gestational , Case-Control Studies , Diabetes, Gestational/diagnosis , Diabetes, Gestational/epidemiology , Ethiopia/epidemiology , Female , Humans , Infant, Newborn , Pregnancy , Pregnancy Outcome , Risk Factors
3.
Environ Health Insights ; 16: 11786302221093481, 2022.
Article in English | MEDLINE | ID: mdl-35465143

ABSTRACT

Background: Ineffective hand hygiene in healthcare settings is a global challenge that is associated with a high rate of nosocomial infections. The study aimed to measure the effectiveness of handwashing at Dilla University referral hospital. Method: This study consisted of 2 parts; the survey work and laboratory analysis. A total of 63 participants were selected to take surveys using an interviewer-administered questionnaire to collect the data regarding the socio-demographic and hand hygiene-related practices. A laboratory tests (swab test) was used to assess handwashing effectiveness from 63 participants by taking 126 swab test (63 before and after hand washing sessions). A swab test was collected from the palms of each participant before and after hand washing using a sterile technique. The cultures were then incubated aerobically overnight at 37°C, and examined for microbial growth. The bacterial load was reported as the number of colony-forming units (CFU). Result: The proportion of effective hand washing in Dilla University Referral Hospital was 82.5%. The mean colony-forming unit before and after handwashing were 55 and 2 CFU/ml, respectively with an average reduction of 94.6% in terms of CFU/ml. The mean amount of water used for effective handwashing was 336.03 (±219.46) ml. There was a significant mean difference in the amount of water used and duration of hand rubbing between effective and non-effective handwashing among the participants (P < 0.01). The bacterial load before and after handwashing indicated that there was a significant (53.3 mean CFU) reduction in bacterial load after handwashing practice which indicated that the handwashing intervention in the Referral hospital was effective (P < 0.01). Conclusion: The proportion of effective Hand washing in Dilla University referral Hospital was 82.5% with a 94.6% reduction in terms of (CFU/ml). The amount of water use and the duration of hand rubbing showed a significant difference in the reduction of the microbial load.

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