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1.
BMC Public Health ; 24(1): 741, 2024 Mar 08.
Article in English | MEDLINE | ID: mdl-38459446

ABSTRACT

INTRODUCTION: Although cervical cancer screening is one of the most effective strategies to reduce the incidence and mortality of cervical cancer, the percentage of cervical cancer screening in low- and middle-income counties is low. In Kenya, the current nationwide prevalence and associated factors for the detection of cervical cancer is unknown. Therefore, this study aimed to assess the prevalence and associated factors for the detection of cervical cancer screening among women of reproductive age in Kenya using the Kenyan Demographic and Health Survey 2022. METHODS: This study used the most recent Kenyan Demographic and Health Survey data (2022) with a total weighted sample of 16,901 women. A mixed effects logistic regression analysis was performed and in the multivariable analysis, variables with a p-value below 0.05 were considered statistically significant. The strength of the association was evaluated using adjusted odds ratios along with their corresponding 95% confidence intervals. RESULTS: The prevalence of cervical cancer screening in Kenya was 16.81%(95% CI: 16.24, 17.38%). Having a history of abortion (AOR = 1.33, 95% CI: 1.171.50, 1.43), using modern contraceptive methods (AOR = 1.57, 95% CI: 1.25, 1.95), media exposure (AOR = 1.31, 95%CI: 1.03, 1.65), primary education (AOR = 1.56, 95%CI: 1.09, 2.22), secondary education (AOR = 21.99, 95% CI: 1.1.38, 2.87), higher education (AOR = 2..50, 95% CI: 1.71, 3.65), visiting health facility within the past 12 months (AOR = 1.61, 95%CI: 1.46, 1.79), positive HIV status (AOR: 3.50, 95% CI: 2.69, 4.57), being from a community with a higher proportion of educated individuals (AOR = 1.37, 95%CI: 1.13, 1.65) and being from a community with high proportion of poor individuals (AOR = 0.72, 9 5%CI: 0.60-0.87)) were significantly associated with cervical cancer screening. CONCLUSION: In Kenya, the prevalence of cervical cancer screening was found to be low. A history of abortion, use of modern contraceptives, exposure to the media, visits to health facilities in the past 12 months, HIV status, level of education, community educational level, and community wealth were identified as significant associated factors for cervical cancer screening. Therefore, it is recommended to implement targeted public health interventions that focus on these identified factors to improve the adoption of cervical cancer screening in Kenya.


Subject(s)
HIV Seropositivity , Uterine Cervical Neoplasms , Pregnancy , Humans , Female , Kenya/epidemiology , Uterine Cervical Neoplasms/diagnosis , Uterine Cervical Neoplasms/epidemiology , Uterine Cervical Neoplasms/prevention & control , Early Detection of Cancer , Demography
2.
BMC Public Health ; 23(1): 1793, 2023 09 15.
Article in English | MEDLINE | ID: mdl-37715168

ABSTRACT

BACKGROUND: Iron deficiency is the most common micronutrient deficiency worldwide. Also, iron deficiency is a significant public health problem in low- and middle-income countries. Thus, this study aimed to assess iron-rich food consumption and associated factors among children aged 6-23 months in Sierra Leone. METHOD: This study is a cross-sectional study based on data from the Sierra Leone Demographic and Health Survey dataset with a total weighted sample of 2622 children aged 6-23 months. Data cleaning, coding, and labeling were done using STATA version 14 software. A multilevel logistic regression model was employed to identify associated factors. RESULT: Almost half (53.38%) of children aged between 6-23 months consumed iron-rich foods. The odds of iron rich food consumption were high among children in the age group of 12-17 months (AOR = 4.81, 95% CI: 3.67, 6.31) and 18-23 months (AOR = 9.3, 95% CI: 6.55, 13.2), and who fed minimum acceptable diet (AOR = 22.5, 95% CI: 11.65, 43.46). Moreover, a child from a mother who had work (AOR = 1.49, 95% CI: 1.08, 2.06), and with a mother who had more than four ANC visits during her pregnancy of the most recent live birth (AOR = 1.87; 95%CI: 1.36-2.55) had higher odds of iron-rich food consumption compared to their counterparts. On the other hand, children who were breastfeeding (AOR = 0.72, 95% CI: 0.53, 0.97), and mothers aged 15-19 (AOR = 0.48, 95% CI: 0.27, 0.85) decreased the odds of iron rich food consumption. CONCLUSION: Consumption of iron-rich food is low among children aged 6-23 months in Sierra Leone. Iron-rich food consumption among children was significantly associated with maternal occupation, child's age, child's breastfeeding status, taking drugs for intestinal parasites, minimum acceptable diet, frequency, and timing of ANC, and region. Thus, special emphasis should be given to those children aged between 6-11 months, currently breastfeeding, children who did not get the minimum acceptable diet, and children from women who did not have work.


Subject(s)
Iron Deficiencies , Female , Pregnancy , Humans , Child , Infant , Child, Preschool , Cross-Sectional Studies , Logistic Models , Sierra Leone/epidemiology , Mothers , Iron
3.
BMJ Open ; 14(4): e073199, 2024 Apr 05.
Article in English | MEDLINE | ID: mdl-38580371

ABSTRACT

OBJECTIVE: To assess the quality of childbirth care and its determinants along the continuum of care in Gondar town public health facility in Ethiopia. DESIGN: An institution-based, cross-sectional study was employed. Completed data were imported to Stata V.16 for cleaning and analysis. A generalised structural equation model was employed to examine the relationships along the continuum of childbirth care and to determine the factors affecting the quality of childbirth care. SETTING AND PARTICIPANTS: This study was conducted among a total of 865 women who delivered in the public health facility of Gondar, Ethiopia, from 19 May to 30 June 2022. RESULTS: The study revealed the proportion of good-quality childbirth care during admission, intrapartum and immediate postpartum period was 59% (95% CI 55.7, 62.4), 76.8% (95% CI 73.8, 79.5) and 45% (95% CI 41.7, 48.5), respectively. Postsecondary educational status of mothers (ß=0.60, 95% CI 0.16, 1.04) and maternal age of 25-35 (ß=0.68, 95% CI 0.33, 1.02) were predictors of quality of care at admission. Referral hospital (ß=0.43, 95% CI 0.10, 0.76), presence of guidelines (ß=1.36, 95% CI 0.72, 1.99) and provider age of 25-35 (ß=0.61, 95% CI 0.12, 1.10) affected the quality of care during the intrapartum period. Urban residence (ß=0.52, 95% CI 0.12, 0.93), skilled birth attendant experience (ß=0.19, 95% CI 0.11, 0.28) and number of delivery couches (ß=-0.29, 95% CI -0.44, -0.13) had significant associations with the quality of childbirth care during the immediate postpartum period. CONCLUSIONS: Although our study found improvements in the quality of childbirth care along the continuum compared with previous studies, more workers are needed to alleviate the problem of poor-quality service. Different maternal, provider and facility factors were found to be predictors of the quality of childbirth care.


Subject(s)
Maternal Health Services , Pregnant Women , Pregnancy , Female , Humans , Ethiopia , Cross-Sectional Studies , Latent Class Analysis , Parturition , Health Facilities , Continuity of Patient Care
4.
PLoS One ; 19(6): e0302033, 2024.
Article in English | MEDLINE | ID: mdl-38889136

ABSTRACT

BACKGROUND: For young adults and adolescents, excessive internet use has become a serious public health concern due to its negative impact on their health. It has been associated with detrimental effects on both physical and mental health. Negative academic outcomes were observed in the students, including missing classes, lower grades, and academic dismissal. Therefore, the purpose of the current study was to identify factors associated with PIU among undergraduate students at the University of Gondar. METHOD: A cross-sectional study was conducted at the University of Gondar among 1514 undergraduate students from June 1-20, 2022. The study participants were selected using a stratified simple random selection procedure. Using structural equation modeling, the degree of relationship was ascertained. A p-value of less than 0.05 and an adjusted regression coefficient with a 95% confidence interval (CI) were used to interpret the data. RESULTS: In our study, being from non-health departments [ß = 0.11, 95% CI: 0.037, 0.181], current alcohol use [ß = 0.12, 95% CI: 0.061, 0.187], depressive symptoms [ß = 0.23, 95% CI: 0.175, 0.291], insomnia symptoms [ß = 0.12, 95% CI: 0.060, 0.196], and ADHD symptoms [ß = 0.11, 95% CI: 0.049, 0.166] had a significant positive effect on PIU, while having a history of head injury had a significant negative effect [ß = -0.12, 95% CI: -0.226, -0.021] on PIU. CONCLUSION AND RECOMMENDATION: Factors such as current alcohol use, non-health department type, depressive symptoms, insomnia, and ADHD symptoms were positively associated with PIU. However, a history of head injuries was negatively associated with PIU. Therefore, strategies aimed at the early identification of PIU may lead to an improvement in the psychosocial health of university students.


Subject(s)
Students , Humans , Ethiopia/epidemiology , Male , Female , Universities , Students/psychology , Young Adult , Cross-Sectional Studies , Adolescent , Adult , Latent Class Analysis , Internet Use/statistics & numerical data , Depression/epidemiology , Internet Addiction Disorder/epidemiology , Internet Addiction Disorder/psychology , Alcohol Drinking/epidemiology
5.
PLoS One ; 18(10): e0291137, 2023.
Article in English | MEDLINE | ID: mdl-37796847

ABSTRACT

BACKGROUND: Up to 80% of adults with attention deficit hyperactivity disorder (ADHD) may have a concomitant psychiatric disorder. ADHD and depression, combined with the demands of University life, can pose serious challenges for students. However, there are limited studies conducted on this topic in our country. Therefore, the current study assessed the magnitude, relationship, and determinants of ADHD and depressive symptoms among students at the University of Gondar. METHOD: An institution-based cross-sectional study was employed among 1514 undergraduate students at the University of Gondar from June 1-20, 2022. A stratified, simple random sampling technique was applied. Structural equation modeling was employed. The degree of relationship was interpreted based on the adjusted regression coefficient with 95% confidence interval (CI) and p-value (<0.05). RESULT: In our study, 37.6% [CI: 35.2-40.1%] and 20.01% [CI: 18.1-22.1%] of the participants had depressive and ADHD symptoms, respectively. Chronic illness [ß = 0.19, CI; 0.09, 0.30], alcohol use [ß = 0.10, CI; 0.03, 0.17], social support [ß = -0.23, CI; -0.29, -0.17], problematic internet use (PIU) [ß = 0.23, CI; 0.18, 0.27], and insomnia [ß = 0.24, CI; 0.17, 0.30] had a direct relationship with depressive symptoms. Mother education level [ß = -0.09, CI; -0.13, -0.06], birth order [ß = -0.09, CI; -0.11, -0.07], chat chewing [ß = 0.18, CI; 0.06, 0.30], and depressive symptoms [ß = 0.73, CI; 0.62, 0.86] had a direct relationship with ADHD. Chronic illness [ß = 0.14, CI; 0.06, 0.22], PIU [ß = 0.16, CI; 0.13, 0.21], social support [ß = -0.16, CI; -0.22, -0.12], and insomnia [ß = 0.17, CI; 0.13, 0.23] had an indirect effect on ADHD. CONCLUSION AND RECOMMENDATION: The prevalence of ADHD and depressive symptoms was high. Chronic disease, alcohol use, social support, PIU, and insomnia had a direct effect on depressive symptoms and an indirect effect on ADHD. Mother education, birth order, chat chewing, and depressive symptoms had a direct effect on ADHD. Our study provided useful clues for clinical treatment and school-based interventions that aim to improve college students' mental well-being. It is better to design school-based intervention and prevention programs to achieve timely diagnosis and treatment of these disorders among university students.


Subject(s)
Attention Deficit Disorder with Hyperactivity , Sleep Initiation and Maintenance Disorders , Adult , Female , Humans , Attention Deficit Disorder with Hyperactivity/psychology , Depression/psychology , Ethiopia/epidemiology , Cross-Sectional Studies , Latent Class Analysis , Sleep Initiation and Maintenance Disorders/complications , Students/psychology , Chronic Disease
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