» Articles » PMID: 16613619

A Comparison of Female- and Male-headed Households in Tanzania and Poverty Implications

Overview
Journal J Biosoc Sci
Specialty Social Sciences
Date 2006 Apr 15
PMID 16613619
Citations 9
Authors
Affiliations
Soon will be listed here.
Abstract

Female- and male-headed households were compared using data from a Demographic and Health Survey conducted in Tanzania in 1996. Chi-squared tests showed that sex of head of household was highly significantly associated with: residence, household size and composition, radio ownership, having enough food to eat, and age and marital status of head of household. An analysis by the logit regression model showed that female-headed households were more likely than male-headed households to be in rural areas, be small, have fewer men, not have radios and not have enough food to eat. The majority of female heads of households were unmarried and older than male heads of households. The implication is that female-headed households are poorer than male-headed households.

Citing Articles

Association of Body Mass Index with Risk of Household Catastrophic Health Expenditure in China: A Population-Based Cohort Study.

Wang Y, Liu M, Liu J Nutrients. 2022; 14(19).

PMID: 36235667 PMC: 9571178. DOI: 10.3390/nu14194014.


Are children in female-headed households at a disadvantage? An analysis of immunization coverage and stunting prevalence: in 95 low- and middle-income countries.

Wendt A, Hellwig F, Saad G, Faye C, Mokomane Z, Boerma T SSM Popul Health. 2021; 15:100888.

PMID: 34430700 PMC: 8369002. DOI: 10.1016/j.ssmph.2021.100888.


A comparative study of the prevalence of and factors associated with insecticide-treated nets usage among children under 5 years of age in households that already own nets in Malawi.

Nkoka O, Chipeta M, Chuang Y, Fergus D, Chuang K Malar J. 2019; 18(1):43.

PMID: 30786905 PMC: 6383286. DOI: 10.1186/s12936-019-2667-4.


Household Headship and Infant Mortality in India: Evaluating the Determinants and Differentials.

Gupta A, Borkotoky M, Kumar A Int J MCH AIDS. 2016; 3(1):44-52.

PMID: 27621985 PMC: 4948170.


A new screening instrument for disability in low-income and middle-income settings: application at the Iganga-Mayuge Demographic Surveillance System (IM-DSS), Uganda.

Bachani A, Galiwango E, Kadobera D, Bentley J, Bishai D, Wegener S BMJ Open. 2014; 4(12):e005795.

PMID: 25526793 PMC: 4275668. DOI: 10.1136/bmjopen-2014-005795.