ASSOCIATION OF SOCIO-DEMOGRAPHIC FACTORS WITH DIARRHEA IN CHILDREN LESS THAN FIVE YEARS: A SECONDARY ANALYSIS OF MULTIPLE INDICATOR CLUSTER SURVEY SINDH 2014

1970 ◽  
Vol 7 (2) ◽  
pp. 85-89
Author(s):  
Muhammad Irfan ◽  
Syed Mustansir Hussain Zaidi ◽  
Hira Fatima Waseem
Keyword(s):  
Rural Areas ◽  
Demographic Factors ◽  
Wealth Index ◽  
Household Wealth ◽  
Cluster Survey ◽  
Multiple Indicator Cluster Survey ◽  
Increased Risk ◽  
Multiple Indicator ◽  
Mother Education ◽  
Socio Demographic Factors

Background: Diarrhea founds to be the major cause of morbidity and mortality in children less than five years. Various factors are associated with diarrhea but socio-demographic factors are the main key elements, which associated with diarrhea. Methods: This study was examined association of socio-demographic factors with diarrhea in children less than five years of age of Sindh, Pakistan, using data from the Multiple Indicator Cluster Survey (MICS) conducted from January 2014 to August 2014. Data were collected for 18,108 children in whom 16,449 children had complete data of demographic variables being included in the analysis. Bivariate analysis was done using Pearson's Chi square test and multivariate analysis being done using binary logistic regression. Results: We found increased risk of diarrhea among children lives in rural areas while household wealth index quintile was also associated with diarrhea. Children in the poor, middle and fourth wealth index quintiles being at increased risk of diarrhea compared to children in the richest wealth index quintile. The highest risk of diarrhea was found for the child having mother with no education as well as children aged 12-23 months. Conclusion: Age of child, mother education and wealth index found significant with diarrhea while Male children, child aged 12-23 months, child with no mother education, child from rural areas and child from poor households found with high risk of diarrhea.

BODY MASS INDEX OF MARRIED BANGLADESHI WOMEN: TRENDS AND ASSOCIATION WITH SOCIO-DEMOGRAPHIC FACTORS

2012 ◽  
Vol 44 (4) ◽  
pp. 385-399 ◽  
Author(s):  
M. G. HOSSAIN ◽  
P. BHARATI ◽  
SAW AIK ◽  
PETE E. LESTREL ◽  
ALMASRI ABEER ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Rural Areas ◽  
Demographic Factors ◽  
Wealth Index ◽  
First Marriage ◽  
Age At First Marriage ◽  
Socio Demographic Factors ◽  
Assist Intervention ◽  
Age Range

SummaryBody mass index (BMI) is a good indicator of nutritional status in a population. In underdeveloped countries like Bangladesh, this indicator provides a method that can assist intervention to help eradicate many preventable diseases. This study aimed to report on changes in the BMI of married Bangladeshi women who were born in the past three decades and its association with socio-demographic factors. Data for 10,115 married and currently non-pregnant Bangladeshi women were extracted from the 2007 Bangladesh Demographic and Health Survey (BDHS). The age range of the sample was 15–49 years. The mean BMI was 20.85±3.66 kg/m2, and a decreasing tendency in BMI was found among birth year cohorts from 1972 to 1992. It was found that the proportion of underweight females has been increasing in those born during the last 20 years of the study period (1972 to 1992). Body mass index increased with increasing age, education level of the woman and her husband, wealth index, age at first marriage and age at first delivery, and decreased with increasing number of ever-born children. Lower BMI was especially pronounced among women who were living in rural areas, non-Muslims, employed women, women not living with their husbands (separated) or those who had delivered at home or non-Caesarean delivery.

scholarly journals Prevalence and determinants of antenatal tetanus vaccination in Sudan: a cross-sectional analysis of the Multiple Indicator Cluster Survey

2022 ◽  
Vol 50 (1) ◽  
Author(s):  
Sagad Omer Obeid Mohamed ◽  
Esraa Mohammed Ahmed
Keyword(s):  
Population Sample ◽  
Multivariate Logistic Regression Analysis ◽  
Household Wealth ◽  
World Health ◽  
Women Of Childbearing Age ◽  
Childbearing Age ◽  
Cluster Survey ◽  
Multiple Indicator Cluster Survey ◽  
Multiple Indicator ◽  
Tetanus Vaccination

Abstract Background Tetanus vaccination is an indispensable component of the antenatal care (ANC) and is considered one of the most effective and protective measures against tetanus deaths. However, data on antenatal tetanus vaccination in Sudan are scarce. We aimed to explore the level of antenatal tetanus vaccination and to identify the influencing factors in a nationally representative population sample. Methods We used the latest available data (2014) of the Sudan Multiple Indicator Cluster Survey (MICS), developed by the United Nations Children’s Fund (UNICEF). We assessed the level of antenatal tetanus vaccination among women of childbearing age who gave at least one birth preceding the survey and defined adequate antenatal tetanus vaccination according to the World Health Organization (WHO) recommendations. Data analysis was performed using descriptive statistics, bivariate analysis, and multivariate logistic regression analysis. Results The total number of women of childbearing age involved in this analysis was 5433. Most of the participants (28.6%) were 25–29 years old, and vast majority of them (73.7%) live in rural areas. The prevalence of mothers who had adequate tetanus vaccination was 60.0%. Antenatal tetanus vaccination was significantly associated with higher level of mothers’ education (AOR = 1.70, 95% CI 1.25–2.32), higher household wealth index (AOR = 1.89, 95% CI 1.41–2.54), having four or more ANC visits (AOR = 1.49, 95% CI 1.30–1.71), and living in areas with low intensity of armed conflicts (AOR = 1.34, 95% CI 1.14–1.57). Conclusions Socioeconomic status had a significant impact on adequate antenatal tetanus vaccination. The results indicate the existence of variable rates and unequal access to tetanus vaccination among women of childbearing age in Sudan.

scholarly journals Sociodemographic factors and early marriage among women in Bangladesh, Ghana and Iraq: An illustration from Multiple Indicator Cluster Survey

Heliyon ◽  
2021 ◽  
Vol 7 (5) ◽  
pp. e07111
Author(s):  
Ahmed Abdus Saleh Saleheen ◽  
Sharmin Afrin ◽  
Samia Kabir ◽  
Md. Jakaria Habib ◽  
Maliha Afroj Zinnia ◽  
...  
Keyword(s):  
Sociodemographic Factors ◽  
Early Marriage ◽  
Cluster Survey ◽  
Multiple Indicator Cluster Survey ◽  
Multiple Indicator

scholarly journals Correlates of child functional difficulties status in Ghana: A further analysis of the 2017/18 multiple indicator cluster survey

Heliyon ◽  
2020 ◽  
Vol 6 (12) ◽  
pp. e05727
Author(s):  
Nutifafa Eugene Yaw Dey ◽  
Emmanuel Dziwornu ◽  
Kwabena Frimpong-Manso ◽  
Henry Ofori Duah ◽  
Pascal Agbadi
Keyword(s):  
Cluster Survey ◽  
Functional Difficulties ◽  
Multiple Indicator Cluster Survey ◽  
Multiple Indicator

scholarly journals The Role of Sociodemographic and Psychosocial Variables in Early Childhood Development: A Secondary Data Analysis of the 2014 Multiple Indicator Cluster Survey in the Dominican Republic

2021 ◽  
Author(s):  
Laura V. Sánchez-Vincitore ◽  
Arachu Castro
Keyword(s):  
Early Childhood ◽  
Dominican Republic ◽  
Early Childhood Development ◽  
Childhood Development ◽  
Developmental Potential ◽  
Cluster Survey ◽  
Multiple Indicator Cluster Survey ◽  
Psychosocial Model ◽  
Multiple Indicator ◽  
At Home

AbstractIntroductionThe association between sociodemographic factors, such as poverty, lack of maternal schooling, and being male at birth, and childhood developmental delay and poor educational outcomes has been established in the Dominican Republic. However, moderating factors present or introduced in families to buffer the effects of such factors on childhood development are still unknown.MethodsWe conducted a secondary analysis of the 2014 Multiple Indicator Cluster Survey for the Dominican Republic, a national household survey focused on maternal and child health and development. The first aim of our study was to determine if a sociodemographic model predicted early childhood development. The second aim was to determine if a psychosocial model (including family childrearing practices, discipline, and early childhood stimulation) predicted early childhood development above and beyond the sociodemographic model.ResultsWe found that both models predicted childhood development significantly, but that the psychosocial model explained 5% more variance than the sociodemographic model. The most relevant sociodemographic predictors were socioeconomic position and mother’s education, which uniquely explained 21% and 17% of the early childhood development variance, respectively. The most salient psychosocial predictors of early childhood development were: 1) attendance to an early childhood education program, which uniquely explained 15.0% of the variance; 2) negative discipline, which uniquely explained 12.4% (negative impact); 3) the number of children’s books at home, which uniquely explained 12.0%; and 4) stimulating activities at home, which uniquely explained 5%.ConclusionThese results have multiple implications for social programs that aim to improve children’s developmental potential in contexts of poverty. Although the results show a protective effect of psychosocial factors, sustainable and large-scale intervention should not be limited to just buffering effects, but to actually solve the underlying problem which is that poverty prevents children from reaching their developmental potential.

scholarly journals The association between sociodemographic characteristics and dementia in patients with atrial fibrillation

2020 ◽  
Vol 32 (11) ◽  
pp. 2319-2327 ◽  
Author(s):  
Per Wändell ◽  
Axel C. Carlsson ◽  
Xinjun Li ◽  
Danijela Gasevic ◽  
Jan Sundquist ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Cox Regression ◽  
Economic Status ◽  
Demographic Factors ◽  
Middle Level ◽  
Men And Women ◽  
Socio Economic Status ◽  
Increased Risk ◽  
National Patient ◽  
Socio Demographic Factors

Abstract Objectives Association between socio-demographic factors and dementia risk is studied in general but not for atrial fibrillation (AF) patients. Methods We studied AF patients ≥ 45 years in Sweden 1998–2012 (n = 537,513) using the Total Population Register for socio-demographic factors, the Swedish Cause of Death Register, and the National Patient Register (NPR) for incident dementia. Cox regression with hazard ratios (HR) and 95% confidence intervals (CI) was used for the association between exposure and outcome, adjusting for age and comorbidities. Results Totally 30,332 patients (5.6%) were diagnosed with dementia during the follow-up (mean 5.4 years). Of these, 14,097 were men (4.9%) and 16,235 were women (6.5%). Lower educational levels (reference: highest level) were associated with increased dementia, HRs (95% CI) for basic school for men 1.23 (1.18–1.29) and women 1.36 (1.30–1.42), and middle-level school for men 1.17 (1.11–1.22) and women 1.28 (1.22–1.34). Divorced men and women (reference: married) showed increased risk of dementia, HR 1.07 (1.01–1.13) and 1.12 (1.06–1.18), respectively, while widowed men showed lower risk, HR 0.84 (0.80–0.88). High deprivation neighborhood socio-economic status (NSES; reference: medium level) was associated with increased dementia in men, HR 1.11 (1.05–1.17), and low deprivation neighborhood socio-economic status (NSES) with increased dementia in men and women, HR 1.12 (1.06–1.18) and 1.18 (1.12–1.24), respectively. Conclusions Some results were expected, i.e. association between lower educational level and dementia. The higher risk of dementia in low deprivation NSES-areas could be due to a higher awareness about dementia, and subsequent earlier diagnosis and treatment of dementia.

Sign in / Sign up

Export Citation Format

Share Document