scholarly journals SINOPSIS ANALISIS 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.

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.

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 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.

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 Association between Social Integration and Face Mask Use Behavior during the SARS-CoV-2 Pandemic in Japan: Results from U-CORONA Study

2021 ◽  
Vol 18 (9) ◽  
pp. 4717
Author(s):  
Nobutoshi Nawa ◽  
Yui Yamaoka ◽  
Yuna Koyama ◽  
Hisaaki Nishimura ◽  
Shiro Sonoda ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Social Network ◽  
Social Integration ◽  
Response Bias ◽  
Multinomial Logistic Regression ◽  
Face Mask ◽  
Neighborhood Association ◽  
Multinomial Logistic Regression Analysis ◽  
Use Behavior

Face mask use is a critical behavior to prevent the spread of SARS-CoV-2. We aimed to evaluate the association between social integration and face mask use during the COVID-19 pandemic in a random sample of households in Utsunomiya City, Greater Tokyo, Japan. Data included 645 adults in the Utsunomiya COVID-19 seROprevalence Neighborhood Association (U-CORONA) study, which was conducted after the first wave of the pandemic, between 14 June 2020 and 5 July 2020, in Utsunomiya City. Social integration before the pandemic was assessed by counting the number of social roles, based on the Cohen’s social network index. Face mask use before and during the pandemic was assessed by questionnaire, and participants were categorized into consistent mask users, new users, and current non-users. Multinomial logistic regression analysis was used to examine the association between lower social integration score and face mask use. To account for possible differential non-response bias, non-response weights were used. Of the 645 participants, 172 (26.7%) were consistent mask users and 460 (71.3%) were new users, while 13 (2.0%) were current non-users. Lower social integration level was positively associated with non-users (RRR: 1.76, 95% CI: 1.10, 2.82). Social integration may be important to promote face mask use.

scholarly journals Impacts of Pesticide Exposure on Paddy Farmers’ Health

2013 ◽  
Vol 2 ◽  
pp. 18-25 ◽  
Author(s):  
Subhra Bhattacharjee ◽  
MAZ Chowdhury ◽  
ANM Fakhruddin ◽  
MK Alam
Keyword(s):  
Pesticide Exposure ◽  
Multinomial Logistic Regression ◽  
Occupational Exposures ◽  
Developed Countries ◽  
Cross Sectional Study ◽  
Least Developed Countries ◽  
Excessive Sweating ◽  
Cross Sectional ◽  
Multinomial Logistic Regression Analysis ◽  
Paddy Farmers

Effects of pesticide exposure on farmer’s health are conducted mostly in developed countries, which is rare in least developed countries like Bangladesh. Here farmers had less guidance and instruction about the preventive measures to protect themselves and environment. This work was studied to assess the impacts of pesticide exposure on the paddy farmer’s health in two different Upazilas of Manikganj, Bangladesh. The study was conducted as cross-sectional study with quantitative and qualitative components. Five hundred eighty two farmers (368 sprayers and 214 non-sprayers) were interviewed. Chi-squared tests and multinomial logistic regression analysis were performed for statistical analysis. Three hundred sixty eight farmers (64.3%) sprayed pesticides and were directly exposed to chemicals. Among them 64.22% and 9.06%, farmers used moderately and highly hazardous pesticides, respectively. 257 farmers (69.8%) were not taken any protective measures to handle pesticides. Excessive sweating, burning eyes and fatigue were reported by 26.3%, 24.4% and 18.8% of the farmers, respectively. These types of symptoms were significantly associated among male farmers. The study reveals that due to lack of awareness, occupational exposures of pesticides among farmers are common in Bangladesh and it also emphasize the importance of use of personal protective equipments. Jahangirnagar University Environmental Bulletin, Vol.2, 18-25, 2013 DOI: http://dx.doi.org/10.3329/jueb.v2i0.16326

scholarly journals Dietary Practices and Nutritional Status of the Urban Vulnerable: A Cross Sectional Study on Waste Collectors of Dhaka City in Bangladesh

2020 ◽  
Vol 11 (4) ◽  
pp. 44-55
Author(s):  
Asit Biswas ◽  
M A Rifat ◽  
Hazera Binte Sufian ◽  
MD Khurshidul Zahid
Keyword(s):  
Risk Factors ◽  
Nutritional Status ◽  
Multinomial Logistic Regression ◽  
Cross Sectional Study ◽  
Dietary Quality ◽  
Dhaka City ◽  
Dietary Practices ◽  
Cross Sectional ◽  
Multinomial Logistic Regression Analysis ◽  
Main Meals

Purpose The socioeconomic conditions of urban waste collectors are vulnerable. However, their nutrition vulnerability remains undocumented. Here we focused on dietary practices and the nutritional status of waste collectors of Dhaka city in Bangladesh. Methods A cross-sectional design was employed that included 130 waste collectors from 15 different sites of Dhaka city. The 24-hours recall method, body mass index (BMI) and BMI for age Z-score were used to determine dietary practices and nutritional status respectively. Chi-square test, Fisher’s exact test, and multinomial logistic regression analysis were used to observe the associations and their risk factors. Results The majority (58.5%) of the waste collectors were normal by BMI whereas 36.2%, 4.5%, and 0.8% were underweight, overweight, and obese respectively. The prevalence of underweight was higher among males and respondents less than 18-years old (P<0.001). The dietary pattern of the respondents was poor. Meals were mainly rice and vegetable-based. Consumption of meats, eggs and fruits was low. Only 18.4% and 16.92% respondents were found to consume meat and eggs at least once a day, respectively. In addition, 78.5% consumed insufficient foods in their main meals, 9.2% had skipped meals and 13.1% consumed stale food and food waste regularly. Consumption of less than three main meals a day and food of poor dietary quality were risk factors of underweight. Conclusion Findings demonstrated that waste collectors in Dhaka city had poor nutritional status which was primarily associated with inadequate dietary intake. Increased quality and quantity of food in the diet, which could be achieved through appropriate health and nutritional support, are needed to overcome the situation.

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