scholarly journals Prevalence and Factors Associated to Persistent Anemia among Pregnant Women in the Buea Health District, Cameroon

2021 ◽  
pp. 20-27
Author(s):  
Simon Eyongabane Ako ◽  
Bimabam Josiah ◽  
Oscar Sakwe ◽  
Tembong Nerville ◽  
Vicky Tankeu Ndassi
Keyword(s):  
Logistic Regression ◽  
Pregnant Women ◽  
Multinomial Logistic Regression ◽  
Health District ◽  
Folate Intake ◽  
Cross Sectional ◽  
Multinomial Logistic Regression Analysis ◽  
Factors Associated ◽  
Intervention Measures ◽  
The Impact

Introduction: Anemia in pregnancy represents a life-threatening but preventable reason for maternal and childhood morbidity and mortality. Although intervention measures are practiced in most affected countries like Cameroon, the impact of anemia on pregnant women is still apparent in most local communities. The relative contribution of sociodemographic related to anemia throughout gestation varies greatly and warrants investigation in urban and rural communities in developing countries, where the condition is most apparent. Methods: A cross-sectional study design was carried out from February to July 2019 at six sites, Regional Hospital Buea, Bokwango Integrated Health Center (IHC), Buea - Road IHC, Buea town IHC, Molyko IHC, and Great Soppo IHC. A total of 408 pregnant women were enrolled in the study. The sociodemographic characteristics identified through questionnaires filled by the participants included age, marital status, educational status, occupation, gravida status, alcohol intake, iron folate intake, knowledge on anemia and crave for non-food substance. The clinical factors of participants gathered included previous records of diarrhea within the last 6 months, diagnosis for worm infection for the last 6 months, diagnosis for Malaria for the last 6 months. A blood sample was collected and analyzed with a haemoglobinometer ( HemoCue  201+ system, Sweden). SPSS version 22 statistical package software was used to perform the data analysis. Factors related to anemia among participants unadjusted and adjusted odds ratios with their 95%CI were calculated using logistic regression models. Results: The prevalence of anemia was 50 %. Among the anemic study participants 0.74 %, 11.76 %, and 37.50 % recorded severe, moderate, and mild levels of anemia respectively. The majority of the anemic participants 195 (95.6%) and 126 (61.8) had recently been diagnosed for Malaria and worm infections respectively. Craving for non-food substances (Calabar clay) and poor adherence to iron folate intake had a prevalence of 120 (58.8%) and 117 (57.4%) respectively. Multinomial logistic regression analysis showed that, irregular adherence to iron folate intake and reduce intake of iron folate frequency 2-3 times/week was statistically significantly associated with anemia (p=0.0001 and p= 0.0001 respectively). We equally observed a statistically significant association of alcohol drink consumption and craving for non-food substances (Calabar clay) with anemia (p=0.004 and p=0.0001 respectively). Cases of worm infection for the last 6 months were statistically significantly related to anemia (p = 0.004). Conclusion: Anemia is high among pregnant women in the Buea health district. Factors associated with persistent anemia despite intervention measures in the community hospitals include malaria; no intake or reduced intake of iron folate; alcohol drinks consumption; craving for non-food substances (Calabar clay) and previously diagnosed worm infection within the last 6 months.

scholarly journals Knowledge, attitudes, practices, and influencing factors of anxiety among pregnant women in Wuhan during the outbreak of COVID-19: a cross-sectional study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Wenping Ding ◽  
Jianmei Lu ◽  
Yan Zhou ◽  
Weizhong Wei ◽  
Zhihong Zhou ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Pregnant Women ◽  
Influencing Factors ◽  
Information Source ◽  
Influential Factors ◽  
Public Health Issue ◽  
Cross Sectional ◽  
Factors Associated ◽  
Attitudes And Practices ◽  
Prenatal Anxiety

Abstract Background Prenatal anxiety has been a significant public health issue globally, leading to adverse health outcomes for mothers and children. The study aimed to evaluate the sociodemographic characteristics, knowledge, attitudes, and practices (KAP), and anxiety level of pregnant women during the coronavirus disease 2019 (COVID-19) epidemic in Wuhan and investigate the influencing factors for prenatal anxiety in this specific context. Methods Pregnant subjects’ KAP towards COVID-19 and their sociodemographics and pregnancy information were collected using questionnaires. The Zung Self-Rating Anxiety Scale (SAS) was used to assess anxiety status. Factors associated with the level of prenatal anxiety were analyzed by Pearson’s chi-square test and multivariable logistic regression analyses. Results The prenatal anxiety prevalence in this population was 20.8%. The mean score of knowledge was 13.2 ± 1.1 on a 0 ~ 14 scale. The attitudes and practices data showed that 580/ 817 (71.0%) were very concerned about the news of COVID-19, 455/817 (55.7%) considered the official media to be the most reliable information source for COVID-19, and 681/817 (83.4%) were anxious about the possibility of being infected by COVID-19. However, only 83/817 (10.2%) worried about contracting COVID-19 infection through the ultrasound transducer during a routing morphology scan. About two-thirds 528/817 (64.6%) delayed or canceled the antenatal visits. Approximately half of them 410/817 (50.2%) used two kinds of personal protection equipments (PPEs) during hospital visits. Logistic regression analysis revealed that the influential factors for prenatal anxiety included previous children in the family, knowledge score, media trust, worry of contracting the COVID-19 infection and worry about getting infected with COVID-19 from the ultrasound probe antenatal care (ANC) schedule. Conclusion Prenatal anxiety was prevalent among pregnant women in Wuhan during the outbreak of COVID-19. The current findings identified factors associated with the level of prenatal anxiety that could be targeted for psychological care.

scholarly journals 951Can cancer-related health literacy predict cancer preventive behaviours?

2021 ◽  
Vol 50 (Supplement_1) ◽  
Author(s):  
Patricia Chiaotzu Lee ◽  
Ayan Mao ◽  
Pei Dong ◽  
Kun Wang ◽  
Wuqi Qiu
Keyword(s):  
Logistic Regression ◽  
Health Literacy ◽  
Cancer Prevention ◽  
Information Seeking ◽  
Multinomial Logistic Regression ◽  
Cancer Information ◽  
Cross Sectional ◽  
Multinomial Logistic Regression Analysis ◽  
Health Promotion And Education ◽  
Cancer Literacy

Abstract Background Health literacy has direct relevance to outcomes in patients with cancer. An adequate level of health literacy may increase uptake of screening and other supportive cancer prevention programs, which may contribute to improved outcomes. However, existing literature is limited in measuring cancer-specific health literacy and its role in cancer prevention. This study aims to investigate the relationship between cancer-related health literacy and cancer preventive behaviours through a population survey in Beijing, China. Methods A cross-sectional design was utilised to collect survey data such as respondents’ sociodemographic characteristics, cancer-related health literacy, cancer status and cancer prevention behaviours. Logistic regression modelling was applied to identify significant sociodemographic predictors for cancer literacy. Multinomial logistic regression analysis was further performed to determine the association between cancer-related health literacy and cancer preventive behaviours after adjusting for effects from sociodemographic variables. Results The findings confirmed that cancer-related health literacy was significant in predicting participants’ cancer preventive behaviours, including individual’s cancer information seeking behaviour, intention to participate in cancer screenings, early diagnosis and treatments. In addition, the results also showed that respondents’ gender, age, education, household income, residential region and cancer status were significantly associated with their levels of cancer-related health literacy. Conclusions/Key messages The results of this study have provided useful evidence on the importance of applying cancer-related health literacy to predict individual’s cancer preventive behaviours. The study has also identified the variations in cancer literacy between different sub-population groups. Future studies can develop targeted health promotion and education campaigns for more effective cancer prevention.

scholarly journals WHICH PATIENTS SURGICALLY TREATED FOR UROLITHIASIS NEED NUTRITIONAL CARE?

2015 ◽  
pp. 1-5
Author(s):  
V. Aparecida Leandro-Merhi ◽  
J.L. Braga de Aquino ◽  
R. Marmiroli ◽  
L. Oliveira Reis
Keyword(s):  
Nutritional Status ◽  
Kidney Stones ◽  
Nutritional Assessment ◽  
Multinomial Logistic Regression ◽  
Nutritional Risk ◽  
Cross Sectional ◽  
Significance Level ◽  
Factors Associated ◽  
Urologic Diseases ◽  
The Impact

Introduction: The present study is justified by the interest of investigating the impact of nutritional status on urology patients. Objective: To investigate the nutritional status of urology patients and identify the risk factors associated with type of kidney stone. Method: This cross-sectional study assessed the nutritional status and energy and nutrient intakes of 175 hospitalized adult urology patients stratified as follows: patients submitted to percutaneous nephrolithotripsy (PN), patients submitted to endoscopic ureterolithotripsy (EU), and patients without kidney stones. All study variables were investigated as possible predictors of urologic diseases. Multinomial logistic regression analysis and the proportional odds model identified the factors associated with kidney stones. The significance level was set at 5%. Results: Kidney stones were more common in females (p<0.0001), EU patients without nutritional risk according to the Nutritional Risk Screening (NRS) (p=0.0061), patients with normal triceps skinfold thickness (p=0.015), and younger patients (p=0.0001). Patients hospitalized for longer periods (p=0.0038) and older patients (p=0.0001) did not have kidney stones. In EU patients kidney stones were associated with being female (p<0.0001; OR: 3.699; CI: 2.001; 6.838), having mid-upper arm muscle circumference between the 10th and 90th percentiles (p=0.0477; OR: 3.164; CI: 1.012; 9.895), not being at nutritional risk according to the NRS (p=0.0308; OR: 3.265; IC: 1.116; 9.557), and being younger (p=0.0008; OR: 0.966; CI: 2.001; 6.838). Conclusion: PN patients seem to need nutritional assessment and follow-up, while patients with kidney stones smaller than one centimeter do not seem to need routine nutritional assessment.

scholarly journals Analysis on the Choice of Livelihood Strategy for Peasant Households Renting out Farmland: Evidence from Western Poverty-Stricken Areas in China

2019 ◽  
Vol 11 (5) ◽  
pp. 1424 ◽  
Author(s):  
Jie Cai ◽  
Ting Wang ◽  
Xianli Xia ◽  
Yazhi Chen ◽  
Hongqiang Lv ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Natural Capital ◽  
Multinomial Logistic Regression ◽  
Livelihood Strategies ◽  
Policy Support ◽  
Sustainable Livelihood ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Livelihood Strategy ◽  
The Impact

Investigating the choice of livelihood strategies has great significance for improving the living standards of peasant households who rent out farmland. This study evaluates the impact of renting-out land on households’ livelihood strategies in China’s western poverty-stricken areas. Data were obtained from cross sectional survey of 585 field survey data from peasant households who rent out land. The K-means clustering method was used to classify the livelihood strategies of the sample households. In view of sustainable livelihood framework, this paper used combination weighting model based on game theory to calculate the quo of households’ livelihood capital. The Multinomial Logistic Regression was used to explore the relationship between livelihood capitals and livelihood strategies. Results show that: livelihood strategy of households who rent out the land can be divided into “agricultural-led” livelihood strategy, “working-oriented” livelihood strategy and “part-time” livelihood strategy. Additionally, the results of Multinomial Logistic Regression show that the households with high human capital and financial capital tend to choose the “working-oriented” livelihood strategy and the households with high natural capital tend to choose the “agricultural-led” livelihood strategy. Therefore, in order to realize the sustainable livelihood of these households, different policy support should be proposed based on the heterogeneity of households in the process of land transfer.

scholarly journals Financial Literacy and Financial Risk Tolerance of Individual Investors: Multinomial Logistic Regression Approach

SAGE Open ◽  
2020 ◽  
Vol 10 (3) ◽  
pp. 215824402094571
Author(s):  
Yılmaz Bayar ◽  
H. Funda Sezgin ◽  
Ömer Faruk Öztürk ◽  
Mahmut Ünsal Şaşmaz
Keyword(s):  
Logistic Regression ◽  
Financial Literacy ◽  
Financial Risk ◽  
Multinomial Logistic Regression ◽  
Demographic Characteristics ◽  
Risk Tolerance ◽  
Financial Investment ◽  
Multinomial Logistic Regression Analysis ◽  
The Impact ◽  
Financial Risk Tolerance

Financial risk tolerance is one of the important factors affecting the financial investment decisions of individuals and institutional investors and a crucial factor of financial planning and financial counseling. It is therefore necessary to determine the major determinants of risk tolerance. In this article, we researched the impact of financial literacy level and demographic characteristics on the financial risk tolerance of the individuals in the sample of Usak University staff, using a multinomial logistic regression analysis and retrieving data through the questionnaire method. Multinomial logistic regression is an extension of binary logistic regression, allowing for three or more categories of the dependent variable. The findings of the empirical analysis reveal that financial literacy and demographic characteristics of age, gender, education, and income levels are significant determinants of financial risk tolerance. In this regard, the improvements in the financial literacy of the individuals through various education programs will probably raise the demand of financial products with different risk characteristics and in turn contribute to the development of financial sector.

scholarly journals COVID-19: Fear and Anxiety among Healthcare Workers in Saudi Arabia. A Cross-Sectional Study

2021 ◽  
Vol 58 ◽  
pp. 004695802110252
Author(s):  
Syed Fareed Mohsin ◽  
Muhammad Atif Agwan ◽  
Sameer Shaikh ◽  
Ziyad Ahmad Alsuwaydani ◽  
Saleh Ahmad AlSuwaydani
Keyword(s):  
Logistic Regression ◽  
Saudi Arabia ◽  
Regression Analysis ◽  
Healthcare Workers ◽  
Multinomial Logistic Regression ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Multinomial Logistic Regression Analysis ◽  
Fear And Anxiety

The novel coronavirus (COVID-19) is an extremely contagious respiratory disease. It poses a serious threat to healthcare workers which may cause substantial degree of psychological distress. This study aimed to evaluate the level of fear and anxiety among healthcare workers. A cross sectional study was designed to collect data from healthcare workers in Saudi Arabia using an online questionnaire. A non-probability convenient sampling technique was used to collect the data from 1st August to 10th August 2020 with the exclusion of non-healthcare worker and general public. A 5-point Likert scale was used to evaluate the level of fear and anxiety. The data was analyzed by using Spss version 23 .The descriptive data were represented as frequencies and percentage. Multinomial logistic regression analysis was applied to control the confounding factors and assess the relationship between variables. Data analyzed 737 participants revealed that 10.7%, 73.5%, and 15.7% of HCWs had a mild, moderate, and severe degree of fear and anxiety respectively. The multinomial logistic regression analysis revealed that gender and specialty of the participants were significantly associated with moderate and severe anxiety level. This study demonstrates that two-third of the healthcare workers had a moderate risk of fear and anxiety. However, females participants found to have elevated fear and anxiety level. Social distancing has a major impact on social well-being therefore its important to address social support through a policy. Further studies are needed to explore the mental health condition of healthcare workers in order to develop evidence based strategies.

Abstract MP29: Factors Associated With Stability of Metabolically Healthy Obesity: The Coronary Artery Risk Development in Young Adults (CARDIA) Study

Circulation ◽  
2018 ◽  
Vol 137 (suppl_1) ◽  
Author(s):  
Sarah M Camhi ◽  
Aviva Must ◽  
Philimon N Gona ◽  
Arlene Hankinson ◽  
Andrew Odegaard ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Alcohol Intake ◽  
Multinomial Logistic Regression ◽  
Multinomial Logistic Regression Analysis ◽  
Factors Associated ◽  
Lower Alcohol ◽  
Total Alcohol ◽  
Metabolically Healthy ◽  
Baseline Bmi ◽  
Metabolically Unhealthy Obesity

Background: The demographic, behavioral or lifestyle factors associated with transitioning from metabolically healthy (MHO) to metabolically unhealthy obesity (MUO) are unknown. Methods: CARDIA participants (n=735) were included if they were not obese (BMI <30 kg/m 2 ) at baseline and developed obesity at exams 7, 10, 15, 20, or 25 years. MHO was defined as the presence of obesity and 0-1 risk factor: SBP/DBP ≥130/85mmHg; glucose ≥100mg/dL; triglycerides (≥150mg/dL); and HDL-C (men <40, women <50mg/dL) or on relevant medication. MUO was defined as obesity and 2+ risk factors. Duration of MHO and obesity were estimated (yrs). Phenotypes were categorized by MHO duration (%; MHO duration÷obesity duration): stable MHO (100%); transient MHO (1-99%); MUO (0%). Factors were compared between phenotypes using linear or logistic regression (adjusted for sex, race, baseline BMI, age). Multinomial logistic regression analysis was used to determine which factors [obesity duration, BMI change (ΔBMI), obesity onset age, physical activity (PA), alcohol intake, smoking] associated with transient MHO and MUO, relative to stable MHO. Results: Participants were 55% black and 72% women. Relative to transient MHO (n=184, 25%), stable MHO (n=347, 47%) had 5.4±0.5 yrs later obesity onset, 3.4±0.4 kg/m 2 smaller ΔBMI, 5.6±0.5 yrs shorter obesity duration, and 2.4±0.5 yrs longer MHO duration (all p<0.0001), with no significant differences for PA (moderate, vigorous or total), alcohol or smoking. Relative to stable MHO, transient MHO were less likely to be female, but more likely to smoke, have increased obesity duration and ΔBMI. Relative to stable MHO, MUO (n=204, 28%) were less likely to be female or black, more likely to smoke, have lower total PA, lower alcohol, and increased ΔBMI (Table 1). Conclusion: Obesity duration, ΔBMI and smoking were the strongest correlates of transition from MHO to MUO. MUO were more likely to have adverse health factors. Additional research should explore the cardiovascular consequences of the transition of MHO to MUO.

Pengaruh Status Migrasi Melalui Karakteristik Sosiodemografi Terhadap Tingkat Kesejahteraan Pekerja Di DKI Jakarta (Analisis Data Cross Sectional Susenas 2013)

2019 ◽  
Author(s):  
beti nurbaiti
Keyword(s):  
Logistic Regression ◽  
Migrant Workers ◽  
Multinomial Logistic Regression ◽  
Interaction Model ◽  
Demographic Variables ◽  
Population Increase ◽  
Cross Sectional ◽  
Migration Status ◽  
Multinomial Logistic Regression Analysis ◽  
Net Migration

Beti Nurbaiti. 2016. The Effect of Migration Status on Worker’s Welfare in DKI Jakarta: A Cross Sectional Data Analysis on Susenas 2013. Inequality in development facilities among regions is indicated by population migration flows, as a reflection of inter-regional economic growth and public facilities disparities. DKI Jakarta has experience in population increase absolutely, in spite of having net migration rate. This increase is caused by absolute number of in-migration into DKI Jakarta from outside of DKI Jakarta.The general objective of this research is analyze welfare status of Worker in DKI Jakarta and its relationships with other determinant variables (migration status and other socio-demographic variables). More specifically, the objectives of this research are: 1) to analyze welfare status of worker in DKI Jakarta; 2) to analyze the effect of migration status on worker’s welfare status; 3) to analyze the effect of other socio-demographic variables on worker’s welfare status; and 4) to analyze the effect of interaction between migration status and other variables on worker’s welfare status in DKI Jakarta Province.By using Susenas (National Socio-Economics Survey) 2013 raw data as a source of data, this research conducts analyze with two stages: 1) The first step is constructing the worker’s welfare status by using PCA (Principle Component Analysis); 2) the second stage is cross tabulating and multinomial logistic regression analysis to show the effect of migration status and other variables on worker’s welfare status in DKI Jakarta.The result of analysis exhibits that migration status of workers in DKI Jakarta, and also their other variables, have various contribution on welfare status pattern. However, the determinants variables have significant contributions to welfare status. The inferential analysis with interaction model generates some conclusions as follows: migrant workers age of 24-34 tend to “welfare” 2.86 times, and tend to be “very welfare” 2.34 times; married migrant workers tend to be “welfare” 2.6 times; and migrant formal workers tend to be “very welfare” 6.14 times. Keywords: Welfare status, net migration, Susenas 2013, PCA, multinomial logistic regression.

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