scholarly journals Predictors of HIV/AIDS comprehensive knowledge and acceptance attitude towards people living with HIV/AIDS among unmarried young females in Uganda: a cross-sectional study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Tesfaldet Mekonnen Estifanos ◽  
Chen Hui ◽  
Afewerki Weldezgi Tesfai ◽  
Mekonnen Estifanos Teklu ◽  
Matiwos Araya Ghebrehiwet ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Cross Sectional Study ◽  
People Living With Hiv ◽  
Sectional Study ◽  
Cross Sectional ◽  
Young Females ◽  
Comprehensive Knowledge ◽  
Hiv Aids

Abstract Background Youth in general and young females, in particular, remain at the center of HIV/AIDS epidemic. To avoid and prevent HIV infection, comprehensive knowledge as well as correct understanding of transmission and prevention strategies are crucial. Thus, the aim of this study is to explore the predictors of comprehensive knowledge on HIV/AIDS and accepting attitude towards PLWHIV. Methods A cross-sectional study was conducted using data from the 2016 Uganda Demographic Health Survey. A two-stage probability sampling method was applied and data were collected using a standard questionnaire. Of the total 8674 women aged 15–49 years, 1971 eligible women aged 15–24 years were included in this analysis. Data analysis was done using SPSS version 23. A Chi-square test followed by logistic regression analysis was used to explore the relationship between specific explanatory variables and outcome variables. The results were reported using odds ratios with 95% confidence interval. P value less than 0.05 was considered as statistically significant. Results Overall, 99.3% of the unmarried women aged 15–24 years were aware of HIV/AIDS, but only 51.9% had comprehensive knowledge on HIV/AIDS. Around 70% of the respondents were aware that "using condoms every time when having sex" and "having only one faithful uninfected partner" can prevent HIV transmission. About 68% of the unmarried women rejected at least two common local misconceptions about HIV/AIDS. An alarmingly small (20.6%) proportion of the respondents had a positive acceptance attitude towards PLWHIV. All variables were significantly associated with having comprehensive knowledge on HIV/AIDS in the unadjusted logistic regression analysis. After adjustment, older age (20–24 years), being educated, wealthier, and ever been tested for HIV/AIDS became predictors of adequate comprehensive HIV/AIDS knowledge. Moreover, respondents with adequate comprehensive knowledge of HIV/AIDS were more likely (OR 1.64, 95% CI 1.30–2.08) to have a positive acceptance attitude towards PLWHIV than their counterparts. Conclusion Our study demonstrated a remarkably high level of awareness about HIV/AIDS among study participants, but the knowledge and positive acceptance attitude towards PLWHIV were not encouraging. Thus, endeavors to expand and strengthen educational campaigns on HIV/AIDS in communities, health facilities, and schools are highly recommended. Attention should particularly focus on young-aged and disadvantaged women with low educational level, poor socioeconomic status and those who have never been tested for HIV/AIDS.

scholarly journals Factors Affecting Voluntary HIV Testing among General Adult Population: A Cross-Sectional Study in Sarawak, Malaysia

2020 ◽  
Author(s):  
Aren Sinedeh Lemin ◽  
Md Mizanur Rahman ◽  
Cliffton Akoi Pangarah ◽  
Andrew Kiyu
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Hiv Testing ◽  
Logistic Regression Analysis ◽  
Binary Logistic Regression ◽  
Cross Sectional Study ◽  
Binary Logistic Regression Analysis ◽  
Sectional Study ◽  
Cross Sectional ◽  
Hiv Aids

Objective: Voluntary HIV testing is one of the key strategies in the HIV/AIDS prevention and control program. New National Strategic Plan for 2016-2030 in Malaysia, adapt three zeros viz. ‘zero new infections of HIV/AIDS, zero discrimination and zero AIDS-related deaths’. This study aimed to determine the predictors of voluntary HIV testing in Sarawak. Materials and methods: A cross-sectional study was conducted with a total of 900 respondents (450 males and 450 females) from the state of Sarawak, aged 18 years and above, who were selected by gender-stratified multistage cluster sampling. Data were obtained by face-to-face interview using a pretested questionnaire. Binary logistic regression analysis was done to determine the potential predictors for voluntary HIV testing. Results: The prevalence of HIV testing was higher among female respondents (26%) compared to male respondents (14.2%), and the difference was statistically significant (p < 0.001). Binary logistic regression analysis revealed that household income more than MYR 1501 (p = 0.009), not living with a partner (p < 0.001) and discussion on HIV/AIDS (p = 0.019) appeared to be predictors for the male respondents, while, ethnicity was statistically significant for female respondents (p < 0.001). Conclusion: The utilisation of HIV testing was low in both males and females. Thus, the finding of this study could be considered when designing HIV education and screening program in Sarawak.

scholarly journals Prevalence and correlates of herbal medicine use among Anti-Retroviral Therapy (ART) clients at Queen Elizabeth Central Hospital (QECH), Blantyre Malawi: a cross-sectional study

2021 ◽  
Vol 33 (3) ◽  
pp. 153-158
Author(s):  
Hawah Mbali ◽  
Jessie Jane Khaki Sithole ◽  
Alinane Linda Nyondo-Mipando
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Herbal Medicine ◽  
Logistic Regression Analysis ◽  
Cross Sectional Study ◽  
Health Coverage ◽  
Medicine Use ◽  
Sectional Study ◽  
Cross Sectional ◽  
Hiv Aids

Background There has been an unprecedented explosion in the popularity of herbal preparations during the last few decades. Herbal medicines are commonly used by HIV/AIDs clients. There is limited data on the prevalence of herbal medicine and correlating factors of herbal medicine use in Malawi. This study establishes prevalence and factors contributing to the use of herbal medicine among HIV/AIDS clients attending the ART clinic at QECH, Blantyre Malawi.Methods A cross-sectional study design was used to interview 211 conveniently sampled clients at QECH ART clinic. The questionnaire addressed socio-demographic, clinical characteristics, NCD-HIV comorbidity, and herbal medicine utilization. The main outcome of the study was herbal medicine use since the initiation of ART. Logistic regression analysis was done in Stata version 16. Both unadjusted and adjusted models were fitted for potential confounders. ResultsThe prevalence of use of herbal medicine was reported in 17.5% (n=37) of the ART clients. The adjusted logistic regression analysis showed that urban residence was statistically associated with reduced use of herbal medicine (adjusted Odds Ratio –AOR: 0.04, 95% CI: 0.169, 0.976).ConclusionThere is a high prevalence of use of herbal medicine among clients taking ART. Herbal Medicine has the potential to cover the gaps in health coverage in rural communities.

scholarly journals The Study of Clustering Effects of Behavior Risk Factors in Patients with Metabolic Syndrome in Southern China: A Cross-Sectional Study

2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Huiwu Han ◽  
Fan Zheng ◽  
Weiwei Dai ◽  
Hua Peng ◽  
Shi Zhou ◽  
...  
Keyword(s):  
Risk Factors ◽  
Metabolic Syndrome ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Salty Taste ◽  
Clustering Effect

Objectives. Metabolic syndrome (MetS) is now becoming a serious public health threat. Some behaviors risk factors were considered to be associated with MetS and interacted to adversely affect MetS. However, the clustering effects of behavior risk factors of MetS among Chinese population remain unclear. The aim of this study is to observe the behavior risk factors and their clustering effects of MetS in China. Methods. A cross-sectional study design was used. Subjects were recruited in the departments of Cardiology Clinic, Endocrine Clinic, and Health Management from March to December 2019. A demographic sheet was designed to collect the demographic and clinical characteristics of the subjects. International Physical Activity Questionnaire-Short was applied to evaluate the level of PA in this study. Other behavior risk factors were observed by the questionnaire. The stepwise logistic regression analysis was performed to identify the determinants of MetS. The multiple logistic regression analysis was used to analyze the clustering effects of behavior risk factors in MetS. Results. There are a total of 532 eligible subjects (56.6% females; mean age was 48.4±15.3 years), and approximately 33.3% were diagnosed as MetS. The subjects with a smoking habit (heavy and long-time history) had a 1.833-fold higher risk for MetS than their counterparts (none and light smoking), and the subjects that preferred salty taste had a 1.626-fold higher risk for MetS than the comparison cohort. Smoking and alcohol drinking had the highest clustering effect on MetS among the behavior risk factors. Conclusions. The main finding of this study was that smoking and salty taste preference were the independent determinants of MetS. Smoking and alcohol consumption had the highest clustering effect on southern Chinese MetS.

scholarly journals A predictive nomogram: a cross-sectional study on a simple-to-use model for screening 12-year-old children for severe caries in middle schools

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Shaoying Duan ◽  
Meng Li ◽  
Jialiang Zhao ◽  
Huiyu Yang ◽  
Jinfeng He ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Cross Validation ◽  
Multivariate Logistic Regression Analysis ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Multivariate Logistic Regression ◽  
Cross Sectional ◽  
Dental Professionals

Abstract Background A nomogram is a tool that transforms complex regression equations into simple and visual graphs and enables clinicians and patients to conveniently compute output probabilities without needing medical knowledge and complex formulas. The aim of this study was to develop and validate a predictive nomogram to screen for severe caries among 12-year-old children based on risk factors in Sichuan Province, China. Methods A cross-sectional study of 4573 12-year-olds was conducted up to May 2016 in middle schools from three districts and three counties in Sichuan Province, China. All the children underwent oral examinations and completed questionnaires to assess general information, oral impacts on daily performance, dietary habits, subjective health conditions, history of dental trauma, frequency of toothache, dental visits, and knowledge, attitudes, and behaviours toward oral hygiene. Univariate analysis and multivariate logistic regression analysis were used to determine which variables were significantly associated with severe caries (operationalized as DMFT ≥ 3). A nomogram was developed and validated by using the ‘rms’ package and two cross-validation methods. Results Severe caries was found in 537 of the 4573 children (11.74%). Multivariate logistic regression analysis revealed that the following variables predicted a higher risk of severe caries: ‘female’ [odds ratio (OR) = 1.985, 95% confidence interval (95% CI): 1.63–2.411], ‘urban’ (OR = 2.389, 95% CI: 1.96–2.91), ‘non-only child’ (OR = 1.317, 95% CI: 1.07–1.625), ‘very poor self-assessment of oral health status’ (OR = 2.157, 95% CI: 1.34–3.467) and ‘visited a dentist less than 6 months’ (OR = 1.861, 95% CI: 1.38–2.505). Multivariate logistic regression analysis also indicated that the following variables predicted a lower risk of severe caries: ‘middle level of urbanization’ (OR = 0.395, 95% CI: 0.32–0.495) and ‘high level of urbanization’ (OR = 0.466, 95% CI: 0.37–0.596). Both the fivefold and leave-one-out cross-validation methods indicated that the nomogram model built by these 6 variables displayed good disease recognition ability. Conclusions The nomogram was a simple-to-use model to screen children for severe caries. This model was found to facilitate non-dental professionals in assessing risk values without oral examinations and making referrals to dental professionals.

scholarly journals The prevalence and clinical characteristics of diabetes mellitus in Chinese inpatients with chronic schizophrenia: a multicenter cross-sectional study

PeerJ ◽  
2021 ◽  
Vol 9 ◽  
pp. e12553
Author(s):  
Yanni Wang ◽  
Lingyun Zeng ◽  
Lijuan Chen ◽  
Xin Zhou ◽  
Lijuan Huo ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Clinical Characteristics ◽  
Chronic Schizophrenia ◽  
Cross Sectional Study ◽  
World Health ◽  
Sectional Study ◽  
Cross Sectional

Background Diabetes mellitus (DM) is common among patients with schizophrenia. However, information on patients comorbid DM and schizophrenia is limited in China. The present study investigated the prevalence of DM and its clinical characteristics in Chinese inpatients with chronic schizophrenia. Methods A cross-sectional study was performed in Chinese inpatients with chronic schizophrenia. Diagnosis of Diabetes was established using World Health Organization diagnostic criteria for diabetes mellitus (persistent fasting glucose levels ≥ 126 mg/dl or 2-h plasma glucose ≥ 200 mg/dL after a 75-g Oral Glucose Tolerance Test). Patients were also measured height, weight, waist circumference, hip circumference, triglyceride level, and cholesterol level. Patients’ psychiatric symptoms were measured by the Positive and Negative Syndrome Scale (PANSS). Binary logistic regression analysis was performed to examine the associated demographic and clinical variables in chronic schizophrenia. Results A total of 988 inpatients (64.6% male, average age of 47.19 ± 12.55) was recruited. The prevalence of DM in Chinese patients with chronic schizophrenia was 13.8% (95% CI [11.6–15.9]%). Logistic regression analysis showed that overweight (OR = 1.90, 95% CI [1.20–3.03], p = 0.006), obesity (OR = 1.85, 95% CI [1.07–3.21], p = 0.028), comorbid hypertension (OR = 2.14, 95% CI [1.34–3.42], p = 0.002), and course of schizophrenia (OR = 1.03, 95% CI [1.01–1.06], p = 0.040) were significantly associated with the DM risk in patients with schizophrenia. Conclusion The findings indicated that diabetes mellitus was non-negligible in patients with chronic schizophrenia. Patients with schizophrenia should be regularly monitored for DM. Overweight/obesity, long duration of schizophrenia, and comorbid hypertension possibly were risk factors for diabetes.

scholarly journals Community-based newborn care utilisation and associated factors in Geze Gofa rural district, South Ethiopia: a community-based cross-sectional study

BMJ Open ◽  
2020 ◽  
Vol 10 (8) ◽  
pp. e037792
Author(s):  
Tsegaye Gebremedhin ◽  
Asmamaw Atnafu ◽  
Endalkachew Dellie
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Associated Factors ◽  
Newborn Care ◽  
Cross Sectional Study ◽  
Rural District ◽  
Sectional Study ◽  
Community Based ◽  
Cross Sectional

ObjectiveThe community-based newborn care (CBNC) is a newborn care package along the maternal and newborn health continuum of care that has been implemented at the community level in Ethiopia. The utilisation which might be affected by several factors has not been well assessed. Thus, this study aimed to examine the utilisation of CBNC and associated factors among women who delivered recently in Geze Gofa rural district, south Ethiopia.DesignCross-sectional study.SettingCommunity-based.ParticipantsThree-hundred seventy-one women who had their newborns recently were randomly selected. Then, they were interviewed at their places using an interviewer-administered structured questionnaire.MethodsA binary logistic regression analysis was done. In the multivariable logistic regression analysis, a p value of <0.05 and adjusted OR (AOR) with 95% CI were used to identify factors statistically associated with CBNC utilisation.OutcomesCBNC utilisation.ResultsThe findings showed that the overall utilisation of CBNC by women who delivered recently with their newborns was 37.5% (95% CI: 32.6 to 42.6). Factors associated with the utilisation of CBNC included women who attended elementary school (AOR: 1.76, 95% CI: 1.01 to 3.07), college and above (AOR: 3.71, 95% CI: 1.12 to 12.24), farmer women (AOR: 0.35, 95% CI: 0.16 to 0.79), women in the lowest (AOR: 3.76, 95% CI: 1.65 to 8.54) and middle quantile of wealth status (AOR: 1.96, 95% CI: 1.01 to 3.76), and those whose preference was visiting hospital only when they faced any signs of danger (AOR: 0.29, 95% CI: 0.11 to 0.78).ConclusionThe use of the CBNC programme in the study area was surprisingly low. To increase utilisation and potentially improve the outcomes of these neonates, we need to increase awareness at community levels, make convenient arrangements and increase the availability of services at nearby health facilities that are essential to improve the uptake of CBNC in the rural district.

scholarly journals Anaemia Prevalence and Contributory Factors among Children in Uttarakhand, India

2020 ◽  
pp. 41-51
Author(s):  
Shweta Suri ◽  
Anuradha Dutta ◽  
Rita Singh Raghuvanshi ◽  
Anupama Singh ◽  
C. S. Chopra
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Cross Sectional Study ◽  
Health Concern ◽  
Multivariable Logistic Regression Analysis ◽  
Sectional Study ◽  
Cross Sectional ◽  
Multivariable Logistic Regression ◽  
History Of

Background: In India, Anaemia among children is still one of the major nutritional problems of public health concern. Aim of the Study: The aim of the present study was to assess the prevalence of anaemia among Anganwadi children (3-6 years of age) and to determine the important risk factors associated with anaemia. Study Design: Cross-sectional study. Place and Duration of Study: Study was conducted among 390 Anganwadi children of Udham Singh Nagar district of Uttarakhand, during April, 2019- August, 2019. Methodology: In this cross sectional study, data on socio-demographic, socioeconomic, hygiene and dietary practices were collected using a self-structured questionnaire. Hemoglobin (Hb) and anthropometric measurements were carried out. Multivariable logistic regression analysis was employed to estimate the adjusted odds ratio (AOR). Results: A majority, 70.54% of the Anganwadi children were found to be anaemic, with higher prevalence among male children (51.30%) as compared to female children (48.70%). The mean hemoglobin concentration of children was 9.91 (±1.9 g/dl). Stunting was higher among males (54.83%) as compared to females (45.17%).Multivariable logistic regression analysis showed that anaemia was significantly associated with monthly income of family AOR (95% CI) 3.25(2.49, 4.00), mother's illiteracy AOR (95% CI) 1.98 (1.49, 2.46), history of anaemia in mother AOR (95% CI) 1.60(0.67, 2.52 ), history of worms in child's stool AOR (95% CI) 3.17(2.26,4.03), barefoot walking AOR (95% CI) 3.08(2.11,4.04) and lack of habit of hand washing AOR (95% CI) 1.55(0.98, 2.11). Conclusion: The prevalence of anaemia among children was high. Iron supplementation, nutrition education among mothers and overall personal hygiene are important to ameliorate their iron status.

scholarly journals Levels of the health system workforce’s competence and predictors to lead, manage, and govern in northwest Ethiopia

2020 ◽  
Author(s):  
Yeshambel Agumas Ambelie ◽  
Getu Degu Alene ◽  
Damen Hailemariam Gebrekiros
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Health System ◽  
Logistic Regression Analysis ◽  
Cross Sectional Study ◽  
Northwest Ethiopia ◽  
Sectional Study ◽  
Cross Sectional ◽  
Ordinal Logistic Regression Analysis ◽  
Very High

Abstract Aim: The purpose of this study was to determine the levels of competence and predictors to lead, manage, and govern among the health system workforce. Methods: A cross-sectional study was carried out in northwest Ethiopia. Eight hundred thirteen workforce were participated in the study. Competence to lead, manage, and govern was computed from 20 items. It was also leveled into four categories. Ordinal logistic regression analysis was conducted to identify predictors of this competence. Results: From 813 participants, 396 (48.7%) and 582 (71.6%) were females and service owners respectively. The estimates for low, moderate, high and very high levels of competence to lead, manage and govern were 41.3%; 42.7%; 13.5% and 2.5% respectively. Sex (p = .031) and responsibility (p = .019) were identified as main predictors. Conclusions: Competence to lead, manage and govern among the health system workforce in northwest Ethiopia is inadequate. Policymakers, program planners and researchers need to take action giving due attention to females and service owners. Feature research could be conducted considering hierarchical variables.

scholarly journals Dietary Intake Quality Is Affected by Knowledge and Dietary Intake Frequency among Pregnant Women in Muntinlupa, Philippines: A Cross-Sectional Study

2021 ◽  
Vol 18 (23) ◽  
pp. 12306
Author(s):  
Tadashi Yamashita ◽  
Ramon Emilio Daniel Roces ◽  
Cecilia Ladines-Llave ◽  
Maria Teresa Reyes Tuliao ◽  
Mary Wanjira Kamau ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Dietary Intake ◽  
Pregnant Women ◽  
Logistic Regression Analysis ◽  
Dietary Diversity ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional

Improving the nutrition of pregnant women is essential in reducing maternal and child mortality, which is one of the global nutritional goals of 2025. This study evaluated the factors related to the quality of dietary intake among pregnant women in Muntinlupa, Philippines. We conducted a cross-sectional study of 280 pregnant women at a hospital in Muntinlupa from March 2019 to August 2019 using questionnaires. After the primary aggregation, multivariate logistic regression analysis was used to identify factors associated with the quality of dietary intake in pregnant women. Approximately half of the women (46.4%, n = 130) had a low dietary diversity during pregnancy. Less than 30% of the respondents consumed beans, soybean products, and nuts. In the logistic regression analysis, poor maternal knowledge of nutritional sources to prevent anemia (odds ratio (OR) 4.25, 95% confidence interval (CI) 1.47–12.32, p = 0.01) and less frequent meal consumption (OR 2.15, 95% CI 1.08–4.29, p = 0.03) were significantly associated with poor dietary diversity. Our findings are crucial because they suggest that increasing the knowledge of pregnant women about good nutrition and ensuring that dietary intake is frequent and adequate through antenatal care can improve the nutrition of pregnant women.

scholarly journals Knowledge–attitude–practice and psychological status of college students during the early stage of COVID-19 outbreak in China: a cross-sectional study

BMJ Open ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. e045034
Author(s):  
Yuehui Jia ◽  
Yanbo Qi ◽  
Li Bai ◽  
Yunfeng Han ◽  
Zhiping Xie ◽  
...  
Keyword(s):  
College Students ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Cross Sectional Study ◽  
Anxiety Symptoms ◽  
Psychological Status ◽  
Sectional Study ◽  
Cross Sectional ◽  
Chinese College Students

ObjectivesThis study aimed to investigate the knowledge–attitude–practice (KAP) of Chinese college students regarding COVID-19 and evaluate their psychological status against the background of the COVID-19 outbreak.DesignThis was a cross-sectional study.SettingThis study covered 31 provinces, municipalities and autonomous regions of mainland China.ParticipantsThe participants, who were college students with ordinary full-time status, were surveyed anonymously on their KAP regarding COVID-19 by using self-made questionnaires. In addition, the Self-Rating Anxiety Scale was used to assess the psychological status of the students.MethodsThe online cross-sectional study among Chinese college students was conducted in February 2020. Logistic regression analysis was used to analyse the predictors of anxiety symptoms.Primary outcome measuresThe level of KAP and anxiety symptoms.ResultsA total of 740 college students from 31 provinces, municipalities and autonomous regions in China were recruited in the survey. Among them, 139 (18.78%) revealed having anxiety. Multivariable logistic regression analysis revealed that female gender was the risk factor for anxiety symptoms with an increased 2.164-fold risk than male gender (OR=2.164, 95% CI=1.279 to 3.662). The knowledge (OR=0.825, 95% CI=0.779 to 0.873) and attitude (OR=0.822, 95% CI=0.762 to 0.887) regarding COVID-19 were protective factors against anxiety symptoms.ConclusionsThe level of KAP regarding COVID-19 was significantly negatively correlated with anxiety symptoms. Thus, understanding the level of KAP among college students during the early stages of major public health emergencies, such as a pandemic, is important. Such understanding plays an important role in adopting targeted health education strategies and reducing the psychological damage caused by these emergencies.

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