Effect of education and household characteristics on infant and child mortality in urban Nepal

1991 ◽  
Vol 23 (4) ◽  
pp. 437-443 ◽  
Author(s):  
Prakash Dev Pant
Keyword(s):  
Socioeconomic Status ◽  
Drinking Water ◽  
Family Planning ◽  
Child Mortality ◽  
Family Members ◽  
Education Access ◽  
Household Characteristics ◽  
Household Resources ◽  
Infant And Child Mortality ◽  
Using Data

SummaryInfant and child mortality differentials are analysed by education of parents and other family members, access to toilet, electricity and source of drinking water in urban Nepal, using data from the Nepal Fertility and Family Planning Survey, 1986. The analyses showed significant effects of education, access to toilet and electricity in lowering infant and child mortality. Access to toilet and electricity are proxies for house-hold socioeconomic status which suggests that education and household resources are complementary in lowering the infant and child mortality.

Factors affecting infant and child mortality

1985 ◽  
Vol 17 (4) ◽  
pp. 481-496 ◽  
Author(s):  
Arjun L. Adlakha ◽  
C. M. Suchindran
Keyword(s):  
Child Mortality ◽  
Birth Interval ◽  
Work Experience ◽  
Childhood Mortality ◽  
Urban Residence ◽  
Factors Affecting ◽  
Infant And Child Mortality ◽  
Infant Loss ◽  
Mother’S Age ◽  
Using Data

SummaryThis paper examines the determinants of infant and child mortality variations in four near east countries using data from WFS surveys. The analysis considers biological correlates of mortality—mother's age, birth order, birth interval, and previous infant loss—and several social factors—mother's and father's education, mother's residence, father's occupation, and mother's work experience since marriage. A multivariate analysis using a logistic regression model is carried out to obtain the net effect of each factor on mortality. Separate models are constructed for infant mortality and childhood mortality and for each country.The four countries show large variations in mortality, but this is persistently higher in female than male children. All four demographic characteristics affect mortality significantly, especially the length of the preceding birth interval. Among the socioeconomic variables, only rural–urban residence is influential.

Infant and child mortality in Bangladesh

1988 ◽  
Vol 20 (1) ◽  
pp. 59-65 ◽  
Author(s):  
Ruhul Amin
Keyword(s):  
Child Mortality ◽  
Fetal Loss ◽  
Fertility Survey ◽  
Logit Analysis ◽  
Social Changes ◽  
Prevalence Survey ◽  
Sociodemographic Variables ◽  
Infant And Child Mortality ◽  
Using Data ◽  
Independent Effects

SummarySocioeconomic differences and trends in infant and child mortality in Bangladesh are examined using data from the 1975 World Fertility Survey and 1979 Contraceptive Prevalence Survey. There is evidence of some recent decline in infant and child mortality. Logit analysis of infant and child mortality indicates that sociodemographic variables such as mother's education, recent period, or higher birth orders, had significant independent effects upon the reduction of infant and child mortality. Other variables such as fetal loss, father's education, or land ownership had no consistent significant effect of upon infant and child mortality. On the other hand, the effect of urban residence on infant and child mortality was positive after the control of the sociodemographic variables. Mere concentration on the supply of modern medical services may bring limited returns unless they are reinforced by appropriate social changes, in particular those affecting the socioeconomic status of women.

Infant and child mortality levels and trends in Bangladesh

1995 ◽  
Vol 27 (2) ◽  
pp. 179-192 ◽  
Author(s):  
M. Kabir ◽  
Rafiquel Islam Chowdhury ◽  
Ruhul Amin
Keyword(s):  
Infant Mortality ◽  
Child Mortality ◽  
Child Health Services ◽  
Fertility Survey ◽  
Live Births ◽  
Health Measures ◽  
Infant And Child Mortality ◽  
Table Analysis ◽  
Using Data ◽  
And Child Health

SummaryInfant and child mortality levels and trends in Bangladesh are examined using data from the 1989 Bangladesh Fertility Survey. Both infant and child mortality declined from the mid 1970s but infant mortality declined more quickly. The level of infant mortality in 1989 was around 100 per 1000 live births while child mortality (5q) was 200 per 1000 live births. Life table analysis confirms the change in infant and child mortality.The decline in infant mortality is attributed to the introduction of improved public health measures and access to maternal and child health services.

Determinant of Infant and Child Mortality in Ethiopia

2012 ◽  
Author(s):  
Yegnanew Alem Shiferaw ◽  
Meseret Zinabu ◽  
Tesfaye Abera
Keyword(s):  
Child Mortality ◽  
Infant And Child Mortality

It Is Your Decision to Date Interracially: The Influence of Family Approval on the Likelihood of Interracial/Interethnic Dating

2021 ◽  
pp. 0192513X2199413
Author(s):  
Byron Miller ◽  
Savanah Catalina ◽  
Sara Rocks ◽  
Kathryn Tillman
Keyword(s):  
College Students ◽  
Young Adults ◽  
Romantic Relationships ◽  
Family Members ◽  
Individual Level ◽  
Interracial Romance ◽  
Using Data ◽  
Do So

Although attitudes toward interracial romantic relationships (IRRs) have generally improved over the years, many Americans still disapprove of their family members being in IRRs. Prior studies have examined correlates of individual-level attitudes about interracial romance, but less is known about whether family members’ attitudes are directly associated with young people’s decisions to date interracially. Using data collected from 790 romantically involved college students at two large public four-year universities, we find that young adults who believe their siblings, parents, and grandparents approve of IRRs have greater odds of dating interracially. Compared to Whites, Blacks and Hispanics are more likely to be interracially involved but their decision to do so is much less dependent on the approval of their parents and grandparents. We also find young adults are more likely to date interracially if they have five or more relatives with IRR experience themselves. The findings and their implications are discussed.

Spatial modeling of geographic inequalities in infant and child mortality across Nepal

2011 ◽  
Vol 17 (4) ◽  
pp. 929-936 ◽  
Author(s):  
Brian Chin ◽  
Livia Montana ◽  
Xavier Basagaña
Keyword(s):  
Child Mortality ◽  
Spatial Modeling ◽  
Infant And Child Mortality

scholarly journals What does my neighbourhood have to do with my weight? A protocol for systematic review and meta-analysis of the association between neighbourhood socioeconomic status and body weight

BMJ Open ◽  
2017 ◽  
Vol 7 (9) ◽  
pp. e017567
Author(s):  
Shimels Hussien Mohammed ◽  
Mulugeta Molla Birhanu ◽  
Tesfamichael Awoke Sissay ◽  
Tesfa Dejenie Habtewold ◽  
Balewgizie Sileshi Tegegn ◽  
...  
Keyword(s):  
Systematic Review ◽  
Socioeconomic Status ◽  
Data Extraction ◽  
Meta Analysis ◽  
Cross Sectional ◽  
Registration Number ◽  
Newcastle Ottawa Scale ◽  
Neighbourhood Socioeconomic Status ◽  
Using Data

IntroductionIndividuals living in poor neighbourhoods are at a higher risk of overweight/obesity. There is no systematic review and meta-analysis study on the association of neighbourhood socioeconomic status (NSES) with overweight/obesity. We aimed to systematically review and meta-analyse the existing evidence on the association of NSES with overweight/obesity.Methods and analysisCross-sectional, case–control and cohort studies published in English from inception to 15 May 2017 will be systematically searched using the following databases: PubMed, EMBASE, Web of Sciences and Google Scholar. Selection, screening, reviewing and data extraction will be done by two reviewers, independently and in duplicate. The Newcastle–Ottawa Scale (NOS) will be used to assess the quality of evidence. Publication bias will be checked by visual inspection of funnel plots and Egger’s regression test. Heterogeneity will be checked by Higgins’s method (I2statistics). Meta-analysis will be done to estimate the pooled OR. Narrative synthesis will be performed if meta-analysis is not feasible due to high heterogeneity of studies.Ethics and disseminationEthical clearance is not required as we will be using data from published articles. Findings will be communicated through a publication in a peer-reviewed journal and presentations at professional conferences.PROSPERO registration numberCRD42017063889.

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