Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Intra-household joint decision making on child feeding and associated social determinants in rural districts of South Ethiopia

A multi-site concurrent mixed method study

Bibliographic Data

ID22089148
AuthorsKassahun Fikadu Tessema (0000-0002-3702-6103, Arba Minch University), Kassahun Fikadu, Abinet Takele (Arba Minch University), Biruk Tesfaye, Biruk Hailu Tesfaye (0000-0002-1594-8086, Government of Ethiopia), Zeleke Hailemariam Abebo (0000-0002-1304-7401, Wachemo University, corresponding author)
Year2024
Volume12
Pages1381068-1381068
Publication date2024-12-12
Open AccessYes
TypeARTICLE
VenueFrontiers in Public Health (JOURNAL)
Journal identifiersISSN: 2296-2565 • E-ISSN: 2296-2565
PublisherFrontiers Media SA (PUBLISHER • CH)
DOI10.3389/fpubh.2024.1381068
PMID39735758
OpenAlexW4405338358
LanguageEN
References cited63

Background: Improving joint intra-household decision-making by spouses is a promising solution to improve child-feeding practices. Therefore, this study aimed to assess the status and barriers of intra-household joint decision making on child feeding in rural districts of South Ethiopia from the perspectives of primary caregivers and key individuals. Methods: A mixed-method study was conducted from July 15 to September 15, 2023 in three randomly selected rural districts: Arba Minch Zuria, Mierab Abaya, and Chencha, in Southern Ethiopia. We employed a cross-sectional study design to collect quantitative data. A computer generated random number technique was used to include 25% of the total kebeles from each district. A total of 20 kebeles; 8 from 32 kebeles of chencha, 6 from 24 kebeles of Mierab Abaya, and 6 from 24 kebeles of Arba Minch Zuria were included. A total of 1,479 women with their children aged 6-23 months were recruited from family folder of the health extension program using a simple random sampling technique. A descriptive qualitative study design was used to collect data from 51 focus group discussants and 12 key informants. Trained health professionals collected the data using a structured and pre-tested interviewer administered questionnaire and semi-structured interviewer guide for quantitative and qualitative data, respectively. Univariate analysis was used to determine the frequency and percentages while Binary logistic regression analysis was employed to identify the associated factors. The odds ratio with a 95%CI was computed to assess strength of the association. The principles of saturation were adhered during the qualitative data collection. Thematic analysis was used to analyze the data in themes and subthemes, using ATLAS.ti version 23. Results: Overall, more than two-thirds (69.2%) of the intra-household decision-making regarding child feeding were found to be jointly decided by the spouses. Women with formal education (AOR = 1.84, 95% CI: 1.37-2.46), husband involvement in child feeding (AOR = 2.23, 95%CI: 1.70-2.92), having fewer than or equal to three children (AOR = 1.51, 95%CI: 1.11-2.04), women aged 25-34 years (AOR = 1.57, 95%CI: 1.19-2.07) and 35-49 years (AOR = 2.14, 95%CI: 1.38-3.33) were significantly associated with joint decision-making regarding child feeding practices. Moreover, large family sizes, large age gaps between husbands and wives, and gender inequalities were identified as barriers to women's engagement in intra-household decision making based on qualitative analysis. Conclusion: In the rural districts of southern Ethiopia, joint intra-household decision making regarding child feeding was found to be satisfactory. Maternal education, husband's involvement in child feeding, mother's age, and number of children were independent variables that significantly influenced women's engagement in joint intra-household decision making on child feeding. Interventions targeted at improving women's engagement in decision-making should consider the following sociocultural barriers: extreme age differences between couples, large family sizes, and detrimental gender-oriented norms

Cross-sectional study · Environmental health · Family medicine · Focus group · Interview · Logistic regression · Multistage sampling · Population · Simple random sample · Breastfeeding Practices and Influences · Child Nutrition and Water Access · Global Maternal and Child Health · Medicine

  • Factors Associated With Women’s Health Care Decision-Making Autonomy

    Open Access•Pauline E Osamor, Pauline Osamor et al.•Journal of Biosocial Science•2018

  • Women's autonomy in household decision-making

    Open Access•Dev Raj Acharya, Jacqueline Bell et al.•Reproductive Health•2010

  • Women's Empowerment

    Open Access•A Cornwall•Journal of International…•2016

  • Woman, culture, and society.

    Michelle Zimbalist Rosaldo•Woman, culture, and society.•1974

  • Spousal age-gaps, partner preferences, and consequences for well-being in four Colombian communities

    Open Access•Riana Minocher, C T Ro et al.•Evolution and Human Behavior•2022

  • Intrahousehold Bargaining and Resource Allocation in Developing Countries

    Cheryl R Do, C Doss•The World Bank Research Observer•2013

  • Women's empowerment and child nutrition

    Open Access•Rebecca E Jones-Antwi, Regine Haardörfer et al.•SSM - Population Health•2019

  • Associations between social support, psychological well‐being, decision making, empowerment, infant and young child feeding, and nutritional status in Ugandan children ages 0 to 24 months

    Open Access•Scott B Ickes, Michael Wu et al.•Maternal and Child Nutrition•2017

  • Women’s Participation in Household Decision Making and Justification of Wife Beating

    Open Access•Zohra Lassi, Anna Alı̀ et al.•International Journal of…•2021

  • Women’s autonomy in health decision-making and its effect on access to family planning services in Senegal in 2017

    Open Access•Ndèye Marème Sougou, Oumar Bassoum et al.•BMC Public Health•2020

  • Married women's decision making power on modern contraceptive use in urban and rural southern Ethiopia

    Open Access•Binyam Bogale, Mekitie Wondafrash et al.•BMC Public Health•2011

  • Burden of caregivers of children with cerebral palsy

    Open Access•Vadivelan Kanniappan, K Vadivelan et al.•BMC Public Health•2020

  • Women’s bargaining power and spending on children’s education

    Open Access•Chao Li, Daoming Sun•International Journal of…•2023

  • Husband and Wife Perspectives on Farm Household Decision-making Authority and Evidence on Intra-household Accord in Rural Tanzania

    Open Access•C Leigh Anderson, Travis Reynolds et al.•World Development•2016

  • The Impact of Bolsa Família on Women’s Decision-Making Power

    Open Access•Alan De Brauw, Daniel O Gilligan et al.•World Development•2013

  • Associations between women’s bargaining power and the adoption of rust-resistant wheat varieties in Ethiopia

    Open Access•Michael Euler, Moti Jaleta et al.•World Development•2024

  • Context and measurement

    Open Access•Greg Seymour, Amber Peterman•World Development•2018

  • Measuring women’s decisionmaking

    Open Access•Amber Peterman, Benjamin Schwab et al.•World Development•2021

  • Worth fighting for

    Open Access•Rachel Heath, Xu Tan•Journal of Development Economics•2018

  • On the Interaction between the Quantity and Quality of Children

    Gary S Becker, H Gregg Lewis•Journal of Political Economy•1973

  • Can women's autonomy impede male involvement in pregnancy health in Katmandu, Nepal

    Open Access•Britta C Mullany, Britta Mullany et al.•Social Science & Medicine•2005

  • There is such a thing as too many daughters, but not too many sons

    Open Access•Sunita Puri, Vincanne Adams et al.•Social Science & Medicine•2011

  • The influence of women's empowerment on maternal health care utilization

    Open Access•Lantona Sado, Alma Spaho et al.•Social Science & Medicine•2014

  • On Kinship Structure, Female Autonomy, and Demographic Behavior in India

    Tim Dyson, Mick Moore•Population and Development Review•1983

  • Decision Making within the Household

    Harry L Davis•Journal of Consumer Research•1976

  • How Many Focus Groups Are Enough? Building an Evidence Base for Nonprobability Sample Sizes

    Open Access•Greg Guest, Emily Namey et al.•CAM•2017

Highly citedNo

Tools

Open DOIOpen Access
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae