Determinants of percent expenditure of household income due to childhood diarrhoea in rural Bangladesh

2015 ◽  
Vol 143 (13) ◽  
pp. 2700-2706 ◽  
Author(s):  
J. DAS ◽  
S. K. DAS ◽  
S. AHMED ◽  
F. FERDOUS ◽  
F. D. FARZANA ◽  
...  
Keyword(s):  
Household Income ◽  
Family Income ◽  
Multinomial Logistic Regression ◽  
Acute Diarrhoea ◽  
Limited Information ◽  
Multinomial Logistic Regression Model ◽  
Childhood Diarrhoea ◽  
Rural Bangladesh ◽  
Male Sex ◽  
Responsible Pathogen

SUMMARYThere is limited information on percent expenditure of household income due to childhood diarrhoea especially in rural Bangladesh. A total of 4205 children aged <5 years with acute diarrhoea were studied. Percent expenditure was calculated as total expenditure for the diarrhoeal episode divided by monthly family income, multiplied by 100. Overall median percent expenditure was 3·04 (range 0·01–94·35). For Vibrio cholerae it was 6·42 (range 0·52–82·85), for enterotoxigenic Escherichia coli 3·10 (range 0·22–91·87), for Shigella 3·17 (range 0·06–77·80), and for rotavirus 3·08 (range 0·06–48·00). In a multinomial logistic regression model, for the upper tertile of percent expenditure, significant higher odds were found for male sex, travelling a longer distance to reach hospital (⩾median of 4 miles), seeking care elsewhere before attending hospital, vomiting, higher frequency of purging (⩾10 times/day), some or severe dehydration and stunting. V. cholerae was the highest and rotavirus was the least responsible pathogen for percent expenditure of household income due to childhood diarrhoea.

scholarly journals Association between socioeconomic status and longitudinal sleep quality patterns mediated by depressive symptoms

SLEEP ◽  
2021 ◽  
Author(s):  
Ga Bin Lee ◽  
Hyeon Chang Kim ◽  
Ye Jin Jeon ◽  
Sun Jae Jung
Keyword(s):  
Socioeconomic Status ◽  
Depressive Symptoms ◽  
Sleep Quality ◽  
Household Income ◽  
Pittsburgh Sleep Quality Index ◽  
Multinomial Logistic Regression ◽  
Mental Healthcare ◽  
Mediation Effect ◽  
Multinomial Logistic Regression Model ◽  
Mediating Role

Abstract Study Objectives We aimed to examine whether associations between socioeconomic status (SES) and longitudinal sleep quality patterns are mediated by depressive symptoms. Methods We utilized data on 3347 participants in the Korean Genome and Epidemiology Study aged 40–69 years at baseline from 2001 to 2002 who were followed up for 16 years. A group-based modeling approach was used to identify sleep quality trajectories using the Pittsburgh Sleep Quality Index (years 2, 6, 8, 10, and 12). Educational attainment (college graduated or less), monthly household income (≥$2500 or less), and occupation (unemployed, manual labor, and professional labor) at baseline (year 0) were used for analyses. Depressive symptoms were assessed using Beck’s Depression Inventory at year 4. Associations between SES and sleep quality patterns were examined using a multinomial logistic regression model. The mediation effect of depressive symptoms was further examined using PROC CAUSALMED. Results We identified five distinct sleep quality trajectories: “normal-stable” (n = 1697), “moderate-stable” (n = 1157), “poor-stable” (n = 320), “developing to poor” (n = 84), and “severely poor-stable” (n = 89). Overall, associations between SES levels and longitudinal sleep patterns were not apparent after full adjustment for sociodemographic and lifestyle factors measured at baseline. Depressive symptoms, however, tended to fully mediate associations between SES levels and sleep quality patterns (odds ratio range for indirect effects of depressive symptoms: for education, 1.05-1.17; for income, 1.05-1.15). Conclusion A significant mediating role for depressive symptoms between SES levels and longitudinal sleep quality warrants consideration among mental healthcare professionals.

scholarly journals Clinical, Socioeconomic, and Psychosocial Factors Associated with Blood Pressure Control and Adherence: Results from a Multidisciplinary Cardiovascular National Program Providing Universal Coverage in a Developing Country

2018 ◽  
Vol 2018 ◽  
pp. 1-10
Author(s):  
Daniela Sandoval ◽  
Carolina Nazzal ◽  
Tomás Romero
Keyword(s):  
Blood Pressure ◽  
Psychosocial Factors ◽  
Emotional Stress ◽  
Cardiovascular Health ◽  
Family Income ◽  
Depression Score ◽  
Antihypertensive Drug Therapy ◽  
Limited Information ◽  
Cross Sectional ◽  
Male Sex

Background. Limited information exists on blood pressure (BP) control factors and adherence to antihypertensive drug therapy (Rx) in developing countries. Methods. Cross-sectional study in randomly selected 992 hypertensive patients under a Chilean national comprehensive Cardiovascular Health Program (CVHP). Association of education, income, diabetes, obesity, physical activity, psychosocial characteristics, smoking, and alcohol abuse with BP control and adherence were evaluated by multivariate logistic regression. Results. BP control (<140/90 mmHg) was achieved in 63.1% of patients, with 38.4% adherent to Rx. Uncontrolled BP significantly associated with male sex (OR: 1.73 [95% CI 1.35-2.22]), low family income, high emotional-stress-depression score, body mass index, no adherence (OR: 1.83 [95% CI 1.44 - 2.32]), multiple Rx, baseline systolic BP value, and sedentary life style. Males (OR: 1.54 [95% CI 1.23 - 1.93]), low family income, high emotional stress-depression score (OR: 2.15 [95% CI 1.68 - 2.76]), low social support, and uncontrolled BP (OR: 1.52 [95% CI 1.22-1.90]) associated with no adherence. Conclusions. Comparable BP control (63.1%) to higher-income societies was observed. Uncontrolled BP associated significantly to no adherence and both to male sex, socioeconomic, and psychosocial factors. Global low adherence (38.4%) and improved BP control and adherence in diabetics were noted.

scholarly journals A comprehensive, contemporary assessment of the association between hepatosteatosis and coronary artery calcium scoring

2021 ◽  
Vol 22 (Supplement_1) ◽  
Author(s):  
T Heseltine ◽  
SW Murray ◽  
RL Jones ◽  
M Fisher ◽  
B Ruzsics
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Coronary Artery ◽  
Regression Model ◽  
Coronary Artery Calcium ◽  
Logistic Regression Model ◽  
Prediction Models ◽  
Multinomial Logistic Regression ◽  
Cvd Risk ◽  
Male Sex

Abstract Funding Acknowledgements Type of funding sources: None. onbehalf Liverpool Multiparametric Imaging Collaboration Background Coronary artery calcium (CAC) score is a well-established technique for stratifying an individual’s cardiovascular disease (CVD) risk. Several well-established registries have incorporated CAC scoring into CVD risk prediction models to enhance accuracy. Hepatosteatosis (HS) has been shown to be an independent predictor of CVD events and can be measured on non-contrast computed tomography (CT). We sought to undertake a contemporary, comprehensive assessment of the influence of HS on CAC score alongside traditional CVD risk factors. In patients with HS it may be beneficial to offer routine CAC screening to evaluate CVD risk to enhance opportunities for earlier primary prevention strategies. Methods We performed a retrospective, observational analysis at a high-volume cardiac CT centre analysing consecutive CT coronary angiography (CTCA) studies. All patients referred for investigation of chest pain over a 28-month period (June 2014 to November 2016) were included. Patients with established CVD were excluded. The cardiac findings were reported by a cardiologist and retrospectively analysed by two independent radiologists for the presence of HS. Those with CAC of zero and those with CAC greater than zero were compared for demographic and cardiac risks. A multivariate analysis comparing the risk factors was performed to adjust for the presence of established risk factors. A binomial logistic regression model was developed to assess the association between the presence of HS and increasing strata of CAC. Results In total there were 1499 patients referred for CTCA without prior evidence of CVD. The assessment of HS was completed in 1195 (79.7%) and CAC score was performed in 1103 (92.3%). There were 466 with CVD and 637 without CVD. The prevalence of HS was significantly higher in those with CVD versus those without CVD on CTCA (51.3% versus 39.9%, p = 0.007). Male sex (50.7% versus 36.1% p= &lt;0.001), age (59.4 ± 13.7 versus 48.1 ± 13.6, p= &lt;0.001) and diabetes (12.4% versus 6.9%, p = 0.04) were also significantly higher in the CAC group compared to the CAC score of zero. HS was associated with increasing strata of CAC score compared with CAC of zero (CAC score 1-100 OR1.47, p = 0.01, CAC score 101-400 OR:1.68, p = 0.02, CAC score &gt;400 OR 1.42, p = 0.14). This association became non-significant in the highest strata of CAC score. Conclusion We found a significant association between the increasing age, male sex, diabetes and HS with the presence of CAC. HS was also associated with a more severe phenotype of CVD based on the multinomial logistic regression model. Although the association reduced for the highest strata of CAC (CAC score &gt;400) this likely reflects the overall low numbers of patients within this group and is likely a type II error. Based on these findings it may be appropriate to offer routine CVD risk stratification techniques in all those diagnosed with HS.

scholarly journals Accommodation, Seasonality and Domestic Tourism to National Parks: Implications for Environmental Policy

2021 ◽  
Vol 13 (9) ◽  
pp. 5072
Author(s):  
Flora Maria Díaz-Pérez ◽  
Carlos Gustavo García-González ◽  
Alan Fyall
Keyword(s):  
National Parks ◽  
Multinomial Logistic Regression ◽  
Multinomial Logistic Regression Model ◽  
Domestic Tourism ◽  
Patterns Of Behavior ◽  
High Season ◽  
Tourism Policy ◽  
Accommodation Sector ◽  
Push And Pull ◽  
Objective Being

The analysis of seasonality and domestic tourism from the perspective of the accommodation sector has, to date, been unsatisfactorily studied in the domain of visitors to national parks. In light of the scale of accommodation development and its crucial role in tourism, most notably with regard to environmental impact, in-depth knowledge about accommodation market segments and their specific characteristics and patterns of behavior are integral to the development of tourism policy. In the context of domestic tourism, underpinned by an understanding of the theory of planned behavior and push-and-pull motivations, this study examines seasonality and accommodation type used by visitors to national parks in the small islands of the Canaries, Spain with the objective being to design the most appropriate environmental tourism policy. By adopting a Multinomial logistic regression model with 1671 surveys carried out, the study concludes that domestic visitors demonstrate a higher propensity to select environmental-friendly accommodation types during the high season. At the same time, residents who visit the parks in high season assess the lowest value to the preservation level of the parks’ natural resources.

scholarly journals Food insecurity among the elderly: cross-sectional study with soup kitchen users

2013 ◽  
Vol 26 (6) ◽  
pp. 679-691 ◽  
Author(s):  
Bruna Fernanda do Nascimento Jacinto de Souza ◽  
Letícia Marín-León
Keyword(s):  
Food Insecurity ◽  
Family Income ◽  
Multinomial Logistic Regression ◽  
The Elderly ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Welfare Programs ◽  
Cross Sectional ◽  
Socioeconomic Condition ◽  
Soup Kitchen

OBJECTIVE: To investigate whether food insecurity is associated with the demographic, socioeconomic, lifestyle, and health conditions of the elderly. METHODS: This cross-sectional study included 427 elderly (³60 years) from Campinas, São Paulo; half were users of a government-run soup kitchen and the others, their neighbors of the same sex. Food insecurity was measured by the Brazilian Food Insecurity Scale. Univariate multinomial logistic regression was used for calculating the odds ratio and 95% confidence interval to measure the association between the independent variables and food insecurity. Variables with p<0.20 were included in a multinomial model, and only those with p<0.05 remained. RESULTS: Most respondents (63.2%) were males; 15.2% and 6.6% were experiencing mild and moderate/severe food insecurity, respectively. The final model, adjusted for sex and age, showed that elderly with a total family income ≤2 minimum salaries (OR=3.41, 95%CI=1.27-9.14), who did not have a job (OR=2.95, 95%CI=1.23-7.06), and who were obese (OR=2.01, 95%CI=1.04-3.87) were more likely to be mildly food insecure. Elderly with cancer (OR=4.13, 95%CI=1.21-14.0) and those hospitalized in the past year (OR=3.16, 95%CI=1.23-8.11) were more likely to be moderately/severely food insecure. Finally, elderly living in unfinished houses (OR=2.71; and OR=2.92) and who did not consume fruits (OR=2.95 and OR=4.11) or meats daily (OR=2.04 and OR=3.83) were more likely to be mildly and moderately/severely food insecure. CONCLUSION: Food insecure elderly are more likely to have chronic diseases, poor nutritional status, and poor socioeconomic condition. Therefore, the welfare programs should expand the number of soup kitchens and develop other strategies to assure adequate nutrition to these elderly.

IMPLEMENTASI MODEL REGRESI LOGISTIK MULTINOMIAL PADA PENGELOMPOKAN PENYAKIT TUBERKULOSIS

2021 ◽  
Vol 13 (1) ◽  
pp. 27
Author(s):  
Mella Apriyani ◽  
Jajang Jajang ◽  
Agustini Tripena Br. Sb.
Keyword(s):  
Logistic Regression Model ◽  
Basic Education ◽  
Multinomial Logistic Regression ◽  
Education Level ◽  
Dominant Factor ◽  
Multinomial Logistic Regression Model ◽  
Factor Level ◽  
Level Of Education ◽  
Pulmonary Tb ◽  
Extra Pulmonary

There are three types of  Tuberculosis (TB) patients at Banyumas Region Hospital, namely negative  pulmonary TB, positive pulmonary TB, and extra pulmonary TB. Types of TB generally caused by age, cae of history, gender, level of education, and domicile. One of the methods that used to find a correlation between types of TB with the affect is regression analysis. This study used multinomial logistic regession analysis because types of TB is categorical and the data is 156 TB’s patients recorded at 2018/2019. The result showed that the level of education be a dominant factor to affect TB. Here, we noted that patients with basic education level have a 5,843 time odds for getting positive pulmonary TB and 2,224 times for getting extra pulmonary TB. The multinomial logistic regression model is then given as probability for getting positive pulmonary TB with factor level of education is greather than negative pulmonary TB and extra pulmonary TB.

scholarly journals Puzzle Out the Reason behind Habitual Miscarriage

2020 ◽  
pp. 92-98
Author(s):  
Waqas Ahmad ◽  
Shahid Bilal ◽  
Sarah Azhar ◽  
Muhammad Aitmaud Uddolah Khan ◽  
Nasima Iqbal ◽  
...  
Keyword(s):  
Risk Factors ◽  
Maternal Age ◽  
Pregnancy Loss ◽  
Recurrent Pregnancy Loss ◽  
Multinomial Logistic Regression ◽  
Strong Association ◽  
Multinomial Logistic Regression Model ◽  
Multiple Risk Factors ◽  
Bivariate Correlation ◽  
History Of

Aims: As no data is available in Pakistan so the aim of current study is to find out the link of multiple risk factors with recurrent pregnancy loss (RPL) in Pakistan. Study Design: Case control study. Place and Duration of Study: Study conducted in Obstetrics and Gynecology Clinic of Benazir Bhutto Hospital, Holy Family Hospital Rawalpindi and Polyclinic Hospital Islamabad from November 2018 to April 2019. Methodology: Subjects were investigated on the basis of an in depth Performa. For data analysis Statistical package for social sciences version-20 was used. Beside this, height in cm, weight in kg and blood pressure in mmHg were recorded. All the statistical calculations were performed by using SPSS 20. For association analysis of qualitative variables Spearman bivariate correlation was calculated while for numerical variables ANOVA was applied. Multinomial logistic regression model was used and the odd ratio and relative risk were calculated. Results: Among cases 91.34% were having spontaneous miscarriage and majority (64.86%) were during first trimester. Spearman bivariate correlation reported a strong association of recurrent pregnancy loss with the risk factors including family history, smoking, obesity, history of hypertension and history of diabetes, having highly significant p-values, on the hand, significant association of maternal age with the frequency of recurrent pregnancy loss was found but not with the paternal age and parity. The multinomial logistic regression model showed that smokers were19.012 times more prone to develop recurrent pregnancy loss. Conclusion: The multiple risk factors including maternal age, obesity, smoking, family history, body mass index, hypertension and diabetes have a strong association with the recurrent pregnancy loss. So keeping these risk factors in mind a careful evaluation of each pregnancy is necessary to reduce the risk of recurrent pregnancy loss.

scholarly journals Determinants of Nutritional Status among School Girls in Chittagong Metropolitan Area

2021 ◽  
Vol 41 (1) ◽  
pp. 39-67
Author(s):  
Md Abdul Karim ◽  
Jesmin Akter
Keyword(s):  
Food Intake ◽  
Nutritional Status ◽  
Metropolitan Area ◽  
Family Income ◽  
Multinomial Logistic Regression ◽  
Income Group ◽  
Bivariate Analysis ◽  
Place Of Residence ◽  
Arm Circumference ◽  
School Girls

This study aims to investigate the determinants of nutritional status (BMI) of school girls, selected randomly from the schools of Chittagong metropolitan area because good nutritional status is a prerequisite for good health, fertility and national productivity. The results of this study show that more than one-third (38.6%) school girls belong to underweight, 47.9% normal and 13.5% overweight. The overall mean BMI of the selected girls is found 20.03±4.06 kg/m2 with considerable variations by their background characteristics. The co-efficient of variation (20.27%) indicates that there exists extreme heterogeneity in BMI of the respondents. Co-efficient of skewness (β1=0.85) and excess of kurtosis (γ2=1.05) reflect that the distribution of BMI is positively skewed and leptokurtic. The mean BMI is found relatively high among the respondents living in the metropolitan area (21.18 kg/m2). The highest mean BMI is found among the girls belong to high family income group (21.62 kg/m2) and low (18.69 kg/m2) in lower family income group. Bivariate analysis indicates that religion, place of origin, place of residence, respondents’ education, arm circumference, fathers and mothers education and occupation, family income, family size, sibling size, skipping and cycling, duration of sporting activity and sleeping, and food intake are found to have significant association with nutritional status of the girls. The study also shows that BMI is significantly positively correlated with family income and negatively with duration of sporting activities. Multinomial logistic regression analysis illustrates that place of residence, arm circumference, mothers’ occupation, duration of sleeping and food intake is found significant predictors of BMI. The Chittagong Univ. J. Sci. 40(1) : 39-67, 2019

scholarly journals Poverty reduction through women employment in farms and rice mills in an area of Dinajpur district

1970 ◽  
Vol 9 (1) ◽  
pp. 131-140
Author(s):  
MS Rahman ◽  
MR Hasan
Keyword(s):  
Household Income ◽  
Poverty Reduction ◽  
Family Income ◽  
Significant Proportion ◽  
Educational Status ◽  
Sampling Procedure ◽  
Primary Data ◽  
Male And Female ◽  
Before And After ◽  
Household Assets

The study was undertaken to examine the socio-economic profiles of women participated in farms and rice mills activities; to examine contribution of women to household income which reducing their poverty; to identify the factors influencing the level of family income in farms and rice mills labourers; and to identify the problems and constraints of farms and rice mills. Bochagonj Upazila of Dinajpur district was selected purposively for the study considering the availability of large number of farm and rice mill labourers. Sixty samples of each category have been selected by random sampling procedure and primary data were collected by direct interview through a pre-tested survey schedule. The educational status, land holding and other household assets position were improved due to the women’s contribution to overall family income. Patterns of family expenditure remained same before and after the women involvement in farm and rice mill works but increased over time that indicated some significant changes in the level of poverty of the households. Age of the respondents, family size, land holding, number of earning members and respondents’ income contributed significantly to the variability of income and employment. Major problems were nature of the work and the variation in the salary level between male and female labourers. Finally, women contributed a small amount but a significant proportion of their family income and the socioeconomic status of the women farm and rice mill labourers should be improved through direct participation in income generating activities by reducing the male and female discriminations. Keywords: Poverty; Women employment; Farm; Rice mills; Income DOI: http://dx.doi.org/10.3329/jbau.v9i1.8755 JBAU 2011; 9(1): 131-139

scholarly journals American Children’s Screen Time: Diminished Returns of Household Income in Black Families

Information ◽  
2020 ◽  
Vol 11 (11) ◽  
pp. 538 ◽  
Author(s):  
Shervin Assari
Keyword(s):  
Household Income ◽  
Screen Time ◽  
Skin Color ◽  
Parental Education ◽  
Family Income ◽  
Black Families ◽  
Continuous Variable ◽  
Inverse Association ◽  
White Families ◽  
American Children

While increased household income is associated with overall decreased screen time for children, less is known about the effect of racial variation on this association. According to Minorities’ Diminished Returns (MDRs) theory, family income and other economic resources show weaker association with children’s developmental, behavioral, and health outcomes for racialized groups such as black families, due to the effect of racism and social stratification. In this study, we investigated the association, by race, between family income and children’s screen time, as a proxy of screen time. This longitudinal study followed 15,022 American children aged 9–11 over a 1-year period. The data came from the baseline of the Adolescent Brain Cognitive Development (ABCD) study. The independent variable was family income, and it was categorized as a three-level nominal variable. The dependent variable, screen time, was a continuous variable. Ethnicity, gender, parental education, and marital status were the covariates. The results showed that family income was inversely associated with children’s screen time. However, there was a weaker inverse association seen in black families when compared with white families. This was documented by a significant statistical interaction between race and family income on children’s screen time. Diminished association between family income and children’s screen time for black families, compared with white families, is similar to MDRs and reflects a health risk to high-income black children. In a society where race and skin color determine opportunities and treatment by society, children from middle class black families remain at risk across multiple domains. We should not assume that income similarly promotes the health of all racial and ethnic groups. Addressing health and behavioral inequalities requires interventions that go beyond equalizing socioeconomic resources for black families. Marginalization, racism, and poverty interfere with the normal family income-related development of American children.

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