Final project_Mozambique DHS women’s recode survey

Introduction

About the Demographic and Health Survey (DHS):

The Demographic and Health Surveys (DHS) are a series of standardized surveys conducted periodically in developing countries that collect data on various aspects of population, health, and nutrition.

About DHS data used for the report:

This final data analysis project will be conducted on the individual recode data set for Mozambique. The dataset contains individual-level information on men and women aged 15 to 49 in the surveyed households. This analysis focuses on the women data.

  • Year of fieldwork: 2011

  • Full data set for Mozambique: 13,745 women, 13,919 households, 4,035 men

About the analyses

This project will investigate factors that may influence or affect a woman’s likelihood to exclusively breastfeed in Mozambique. The factors that will be considered include:

  • place of residence and level of educational attainment

  • having children at an early age and/or having more children

  • currently married and/or currently working

  • having greater say on her health care and/or church attendance

Also view the Labels for variables used in project section for a full list of variables and their names.

Characteristics of the data

The mean age of women in the data is 28.5, illustrating a relatively young group of women.

The mean age of women in rural and urban areas is similar: 27.8 for urban areas and 28.9 in rural areas (table 1).

Mean Age by Urban and Rural Residence
type of place of residence mean_age
urban 27.84287
rural 28.97985

Majority of the women surveyed live in rural areas (table 2).

Percentage of women in rural and urban areas
type of place of residence n percent
urban 5804 42.22626
rural 7941 57.77374

The ethnicity of the women surveyed reflects a diverse group of women from different cultural background, with a majority of women belonging to the Xichangana tribe.

Most of the women surveyed reported having no education level. Of those who completed some education, a majority attended primary education (plot on the left).

However further investigation shows that a large percentage of women did not complete primary school (plot on the right).

Conclusion

Initially the analysis set out to investigate potential factors that may impact a woman’s likelihood to breastfeed exclusively. Upon further exploration of the data, ‘exclusive breastfeeding’ could not be used as a metric for the data as no women qualified according to the standard definition of exclusive breastfeeding.

Using the currently breastfeeding and duration of breastfeeding variables, further analyses could be conducted to investigate potential trends in the data.

A few factors may impact a woman’s likelihood to be currently breastfeeding at the time of the survey and the length of time they breastfeed.

  • Women who attend church more than once a month, younger woemn with lower educational attainment are more likely to be currently breastfeeding.

  • Women who make health decisions with their husband, who have a job but are on leave, who are educated and older, who are older and have more children are least likely to be currently breastfeeding.

About Mozambique

The Republic of Mozambique is located in the southeast of the African Continent. It has more than 2,400 kilometers (~1,490 miles) of coastline overlooking the Indian ocean and shares a border with six countries: Tanzania, Malawi, Zambia, Zimbabwe, South Africa, and Eswatini.

With a population of more than 33 million, there is a lot of space in Mozambique. The country boasts several forest reserves, national parks, nature reserves, and frontier conservation areas with more than 200 mammal species that are endemic to the country.

  • Click on the links to read and learn more: here and here.
Photo by Dan Maisley
Photo credit: Photo of Benguerra Island in Bazaruto Archipelago - by Dan Maisley

Labels for variables used in project

  • Household factors: v024 = region, v025 = Type of place of residence (urban_rural)

  • Characteristics: v012 = Current age (women), v131 = Ethnicity, s106 = Highest educational level (women), v149 = Educational attainment (women), v463a = Frequency smokes cigarettes (women), s113a = How frequent go to church?

  • Birthing: v212 = Age at first birth, v201 = Number of children ever born

  • Marital status: v502 = Currently/formerly/never married, v505 = Number of co-wives, v501 = Current marital status (women)

  • Finances: s811 = Respondent’s occupation, v731 = Respondent worked in last 12 months (women), v743a = Person who should have greater say: respondent’s health care (women)

  • Breastfeeding: v409 = Gave child plain water, v409a = Gave child sugar water, v411 = Gave child tinned, powdered or fresh milk, v411a = Gave child baby formula, v414e = Gave child bread, noodles, other made from grains, v414f = Gave child potatoes, cassava, or other tubers, v414g = Gave child eggs, v414h = Gave child meat (beef, pork, lamb, chicken, etc), v404 = Currently breastfeeding, m4_1 = duration of breastfeeding, b11_01 = preceding birth intervals

References