Analisa Faktor yang Mempengaruhi Tingkat Fertilitas (TFR) di Provinsi Maluku (Analisa Lanjutan Hasil SKAP 2019)

The purpose of this study was to determine the determinants of the factors causing the high Fertility Rate (TFR), rs that affect the number of children born alive. The data used is SKAP data in 2019, with a respondent of women of childbearing age aged 15-49 years. With the model used is binary logistic regression analysis. The results showed that 12 variables had a significant relationship with live births. Child mortality is the most dominant variable that has a significant effect on the number of children born alive, Recommendations that can be given from the results of this study are to increase the supervision of the Health Office related to strengthening institutional capacity through counseling / communication, information, and education through postponement of marriage age and first birth age programs. first age relationship and education about early childhood sex through adolescent reproductive health counseling in order to increase knowledge, attitudes, and behavior of families and communities to create a quality family.

The Association Between Dietary Antioxidant Micronutrients and Cardiovascular Disease in Adults in the United States: A Cross-Sectional Study

Background: Antioxidant micronutrients represent an important therapeutic option for the treatment of oxidative stress-associated cardiovascular diseases (CVDs). However, few studies have evaluated the relationship between the levels of multiple dietary antioxidants and CVDs.Objective: The study therefore aimed to evaluate associations between dietary antioxidants and total and specific CVDs among a nationally representative sample of adults in the US.Design: In total, 39,757 adults (>20 years) were included in this cross-sectional study from the 2005–2018 National Health and Nutrition Examination Survey. We analyzed dietary recall of 11 antioxidant micronutrients in this population. Multivariate logistic and weighted quantile sum (WQS) regression were both applied to examine the relationships between these antioxidants, alone and in combination, with the prevalence of all CVDs and specific CVDs. The linearity of these correlations was also explored using restricted cubic spline (RCS) regression.Results: Multivariate logistic models showed that, compared with the lowest quartile, the levels of 11 antioxidants in the highest quartile were independently associated with decreased total CVD (all P < 0.05). The WQS index showed that, when considered together, the 11 micronutrients were negatively correlated with total CVD (P < 0.001) and five specific CVDs (all P < 0.05), and selenium had the strongest association (weight = 0.219) with total CVD. Moreover, the RCS model demonstrated that iron, zinc and copper were all negatively and non-linearly correlated with total CVD, while the eight other micronutrients had non-significant, linear, negative relationships with total CVD (P for non-linearity >0.05). A piecewise binary logistic regression analysis showed that the inflection points in the relationships between CVD and iron, zinc and copper were 7.71, 6.61, and 0.74 mg/day, respectively.Conclusions: Our findings suggested that high levels of combined dietary antioxidant micronutrients are associated with decreased prevalence of CVDs, and that selenium has the greatest contribution to this association.

Vaccination against COVID-19: Factors That Influence Vaccine Hesitancy among an Ethnically Diverse Community in the UK

The UK’s minority ethnic population, despite being at higher risk of COVID-19 and experiencing poorer health outcomes, continue to have lower uptake of the COVID-19 vaccine compared with their white British counterparts. Given the importance of the vaccination programme in improving health outcomes, this research sought to examine the influential factors that impact the decision to accept the COVID-19 vaccination among an ethnically diverse community. A total of 1058 residents from Luton, UK, a large town with an ethnically diverse population, completed a community survey. Questions centred around uptake or individuals’ intentions to accept the offer of COVID-19 vaccination alongside demographics, knowledge, and views on the vaccine. A binary logistic regression analysis was conducted to determine the most significant predictors of vaccine hesitancy, while respondents’ reasons for not getting vaccinated were identified using qualitative content analysis. Findings revealed that age and ethnicity were the only sociodemographic factors to predict vaccine hesitancy. Knowledge of symptoms and transmission routes, alongside ensuring information about COVID-19 was objectively sourced, were all identified as protective factors against vaccine hesitancy. Qualitative analysis revealed that ‘lack of trust in government/authorities’ and ‘concern of the speed of vaccine development’ were the most common reasons for non-uptake. This research reinforces the importance of age, ethnicity, and knowledge as influential factors in predicting vaccine hesitancy. Further, this study uncovers some of the barriers of uptake that can be utilised in developing promotional campaigns to reduce vaccine hesitancy in certain sections of the diverse UK population.

The landscape of antibiotic usage among COVID-19 patients in the early phase of pandemic: a Malaysian national perspective

Background During the early phase of the COVID-19 pandemic, antibiotic usage among COVID-19 patients was noted to be high in many countries. The objective of this study was to determine the prevalence of antibiotic usage and factors affecting antibiotic usage among COVID-19 patients during the early phase of the COVID-19 pandemic in Malaysia. Methods This was a cross-sectional study that involved reviewing medical records of COVID-19 Malaysian patients aged 12 and above who were diagnosed with COVID-19 and received treatment in 18 COVID-19 hospitals from February to April 2020. A minimum sample of 375 patients was required. A binary logistic regression analysis was performed to determine factors associated with antibiotic usage. Variables with p < 0.05 were considered statistically significant. Results A total of 4043 cases were included for analysis. The majority of the patients (87.6%) were non-smokers, male (65.0%), and had at least one comorbidity (37.0%). The median age was 35 years (IQR: 38). The prevalence of antibiotic usage was 17.1%, with 5.5% of them being prescribed with two or more types of antibiotics. The most frequent antibiotics prescribed were amoxicillin/clavulanic acid (37.8%), ceftriaxone (12.3%), piperacillin/tazobactam (13.3%), azithromycin (8.3%), and meropenem (7.0%). Male patients (adjusted OR 1.53), who had a comorbidity (adjusted OR 1.36), associated with more severe stage of COVID-19 (adjusted OR 6.50–37.06), out-of-normal range inflammatory blood parameters for neutrophils, lymphocytes, and C-reactive protein (adjusted OR 2.04–3.93), corticosteroid use (adjusted OR 3.05), and ICU/HDU admission (adjusted OR 2.73) had higher odds of antibiotic use. Conclusions The prevalence of antibiotic usage in the early phase of the COVID-19 pandemic was low, with amoxicillin/clavulanic acid as the most common antibiotic of choice. The study showed that clinicians rationalized antibiotic usage based on clinical assessment, supported by relevant laboratory parameters.

Dietary intake and prevalence of metabolic syndrome among tanker truck drivers in Ghana

Purpose This study aims to assess dietary intake and prevalence of metabolic syndrome (MetS) among tanker truck drivers in the Kumasi metropolis, Ghana. Design/methodology/approach A cross-sectional study design enrolled 212 fuel tanker drivers. Sociodemographic, anthropometric, dietary and biochemical data were collected. MetS was assessed using the National Cholesterol Education Program Expert Panel on detection, evaluation and treatment of high blood cholesterol in adults Adult Treatment Panel III (NCEP ATP III) 2005 criteria. A three-day 24-h dietary recall was used to assess dietary intake. Binary logistic regression analysis was performed to determine the predicting factors of MetS among study participants. Findings The prevalence of MetS was 19.6% according to NCEP ATP III criteria. The prevalence of obesity, high BP, hyperglycaemia, dyslipidemia among participants were 7.5, 39.7, 37.7 and 57.3%, respectively. The energy intake for 176 (88.4%) of the participants was inadequate. The predicting factors of MetS were age (OR: 1.3, p = 0.04), glycated haemoglobin (OR: 9.6, p = 0.004), systolic blood pressure (OR: 1.2 95%, p = 0.01) and service years (OR: 0.8, p = 0.01). Research limitations/implications The current study focused on MetS among tanker truck drivers in Kumasi metropolis, which makes the current findings only limited to drivers of tanker truck within the municipality. Additionally, the 24-h dietary recall could be subjected to recall bias. However, the study is still of relevance as it becomes the first to target such a group within the municipality, taking into consideration the importance of these tanker truck drivers in driving the economy of Ghana. Originality/value This study highlights dietary intake and MetS among fuel tanker drivers previously underreported in the Ghanaian population. Findings of this study would inform further studies on lifestyle-related determinants of MetS among other cohort of drivers in other settings within the country.

Determining factors in MSMEs success: An empirical study in Mexico

This work empirically analyzes the competitive factors that help make micro, small, and medium enterprises (MSMEs) successful. To do this, an empirical study with a sample of 614 companies in Guanajuato, Mexico, has been carried out. The results of the binary logistic regression analysis show that quality, technology, and innovation are the main variables that determine a company’s success. These findings could provide guidelines to help MSMEs improve their competitiveness, and they could help public administrations better support MSME growth.

Comparison of accidental pediatric scald burns in a tertiary care center: hot cauldron burns versus accidental spill burns

Background: Scald burns result from exposure to high-temperature fluids and are more common in the pediatric age group. They occur mainly by two mechanisms: (i) spill and (ii) immersion (hot cauldron) burns. These two patterns differ in clinical characteristics and outcomes. Scalds cause significant morbidity and mortality in children. The objective of this study was to compare accidental spill burns and hot cauldron burns in a hospital setting. Methods: An analytical cross-sectional study was conducted by reviewing the secondary data of scald cases admitted during the years 2019 and 2020 in a burn-dedicated tertiary care center. Total population sampling was adopted. Data analysis was done partly using SPSS, version-23, and Stata-15. Mann Whitney U-test and Chi-square/Fisher's exact test were done appropriately to find associations between different variables. Binary regression analysis was performed taking mortality events as the outcome of interest. Results: Out of 108 scald cases, 43 (39.8%) had hot cauldron burns and 65 (60.2%) had accidental spill burns. Overall mortality was 16 (14.8%), out of which hot cauldron burns and accidental spill burns comprised 12 (75.0%) and 4 (25.0%), respectively. Binary logistic regression analysis showed the type of scald, age, and Baux score found to be associated with mortality. Every one-year increment in age had a 29% lower odds of occurrence of mortality event (adjusted odds ratio [OR], 0.71; 95% confidence interval [CI], 0.50-0.99, p=0.042). Likewise, every one-point increment in Baux score was associated with 19% higher odds of mortality (adjusted OR, 1.190; 95% CI, 1.08-1.32; p<0.001). Conclusions: Accidental spill burn was more common but mortality was significantly higher for hot cauldron burns. The risk of mortality was significantly higher in burn events occurring outside the house, and burns involving back, buttocks, perineum, and lower extremities.

Cerebral Microbleeds Were Related With Poor Cognitive Performances on the Dual Task Condition in Older Adults

Background: The dual task (DT) was commonly used to assess the risk of falls in older adults and patients with neurological disorders. However, the performance on DT conditions has not been well investigated in patients with cerebral microbleed (CMB). This study is aimed to compare the performance in DT tests between older adults with and without CMB, and to explore the association between CMB and cognitive performances of DT.Methods: This is a cross-sectional study. A total of 211 old adults participated, involving 68 CMB patients. The task protocol involved two global cognition tests, two single cognitive tests (serial 7 subtraction and semantic fluency), two single motor tasks [8-m walking and timed up and go test (TUG)], and three DT tests [walking and serial subtraction (WSS), walking and semantic fluency (WSF), and TUG and serial subtraction (TUGSS)]. The time taken to complete each task and the number of correct responses were recorded. For each DT condition, the correct response rate (CRR) and the dual-task effect (DTE) for the correct number were calculated.Results: Compared with subjects without CMB, CMB patients had worse cognitive performances on DT condition in CRR of WSS (p = 0.003), WSF (p = 0.030) and TUGSS (p = 0.006), and DTE of WSS (p = 0.017). Binary logistic regression analysis showed that the presence of CMB was an independent risk factor for the impairment group for CRR of TUGSS (OR, 2.54; 95% CI, 1.11–5.82; p = 0.027) with the adjustment for confounders, rather than CRR of WSS and WSF, or DTE of WSS. Multiple linear regression analysis showed that CRR of TUGSS decreased with the increase of CMB number grades (β, −0.144; 95% CI, −0.027, −0.002; p = 0.028).Conclusion: The present study indicated that CMBs were closely associated with poor cognitive performances on DT in the elderly. Strongest effect size was seen for CRR of TUGSS, where performance deficits increased in proportion to the degree of CMB burden.

Prevalence and Determinants of Under-Nutrition Among Under-Five Children in Afar Region, Ethiopia: Evidence From 2016 Ethiopian Demographic and Health Survey

Background: Undernutrition is one of the major public health concerns among infants and young children in the country. Childhood under-nutrition is widespread in low and middle-income countries. This study was initiated to assess the prevalence of under-nutrition and its associated factors among under-five children in Afar Region, Ethiopia. Methods: The data for this study were extracted from the Ethiopian Demographic and Health Survey (EDHS) 2016. The information collected from 937 children born 5 years before the survey was considered in the analysis. A multivariable binary logistic regression analysis was used at a 5% level of significance to determine the individual- and community-level factors associated with childhood malnutrition.Results: The prevalence of stunting, underweight and wasting in Afar region were 41.1%, 36.2% and 17.7%, respectively. About 26.7% of children in Afar region were both stunting and underweight, 12.7% were both underweight and wasting, 7.6% were both stunting and wasting and only 7.0% of children had all the three under-nutrition conditions. Among the factors considered in this study, age of a child in months, anemia level, mothers’ BMI, household wealth index, size of child at birth, number of living children and place of residence were significantly associated with stunting, underweight and wasting in Afar Region. Conclusions: The prevalence of all stunting, underweight and wasting was relatively high. Undernutrition is one of the major public health concerns among children in Afar Region. The effect of these factors should be considered to develop strategies to reduce under-nutrition in the study area. Thus, intervention should be focused on improving the under-nutrition determinants of the children to improve the child's nutritional status and reduce child morbidity and mortality.

The Uptake and Vaccination Willingness of COVID-19 Vaccine among Chinese Residents: Web-Based Online Cross-Sectional Study

Objective: To investigate the uptake and vaccination willingness of the COVID-19 vaccine among Chinese residents and analyze the difference and factors that impact vaccination. Methods: The snowball sampling method was used to distribute online questionnaires. Relevant sociodemographic data along with the circumstances of COVID-19 vaccination were collected from the respondents. The χ2 test, independent samples t test and binary logistic regression analysis were used to analyze the data. Results: Among 786 respondents, 84.22% had been vaccinated. Over 80% of the vaccinated population have completed all the injections because of supporting the national vaccination policies of China, while the unvaccinated population (23.91%) is mainly due to personal health status. Meanwhile, statistical analysis revealed that the main predictors of not being vaccinated were younger age (3 to 18 years old), personal health status, and lower vaccinated proportion of family members and close friends (p < 0.05). Conclusions: There was a high level of uptake of the COVID-19 vaccine in China, and people who have not been vaccinated generally had a low willingness to vaccinate in the future. Based on our results, it suggested the next work to expand the coverage of the COVID-19 vaccination should be concentrated on targeted publicity and education for people who have not been vaccinated.