Wealth- and education-related inequalities in minimum dietary diversity among Indonesian infants and young children: a decomposition analysis

Paramashanti, Bunga Astria; Dibley, Michael J.; Alam, Ashraful; Huda, Tanvir

doi:10.1080/16549716.2022.2040152

Cited by 2 publications

(6 citation statements)

References 54 publications

(59 reference statements)

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“…The higher cost of fresh produce and lean proteins creates a financial barrier, compelling individuals with lower incomes to opt for more affordable yet less nutritious alternatives. This economic divide contributes to disparities in dietary choices and nutritional outcomes, highlighting the importance of addressing income inequality to improve overall nutritional well-being 17…”

Section: Discussionmentioning

confidence: 99%

“…This economic divide contributes to disparities in dietary choices and nutritional outcomes, highlighting the importance of addressing income inequality to improve overall nutritional well-being. 17 …”

Section: Discussionmentioning

confidence: 99%

“…Explanatory variables were grouped into the following categories: maternal and family factors, factors related to media exposure, factors related to health services use, and child factors. Maternal and family factors included the age group of mothers in years,11 15–46 the mother’s and partner’s education level (no education, primary, secondary, higher), mother’s employment (yes, no), partner’s occupation (agriculture, services, others), household wealth status, which was used to calculate the concentration index (CIX) of dietary diversity, was determined to be one of the primary explanatory variables (poorest, poorer, middle, higher, highest) and place of residence (urban, rural). Watching television (TV) and reading newspapers/magazines (yes, no) were also taken into consideration when conducting the decomposition and regression model as factors related to media exposure.…”

Section: Methodsmentioning

confidence: 99%

“…Factors related to health services use included the maternal postnatal visit (yes, no), number of antenatal care (ANC) visits (4 visits, ≥4 visits) and place of delivery (home delivery, facility delivery). Child factors included sex of the child (male, female), age of the children in months, [6][7][8][9][10][11][12][13][14][15][16][17][18][19][20][21][22] and the number of living children in the household (1, 2, ≥3 children).…”

Section: Explanatory Variablesmentioning

confidence: 99%

“…Furthermore, income inequality has demonstrated a persistent correlation with reduced achievement in MDD across the countries under consideration 11 17 18. Among these nations, India exhibits the highest level of inequality, as evidenced by its Gini coefficient value of 35.7%.…”

Section: Introductionmentioning

confidence: 99%

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Socio-economic inequalities in and factors associated with minimum dietary diversity among children aged 6–23 months in South Asia: a decomposition analysis

Rahman,

Kundu,

Rashid

et al. 2023

BMJ Open

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ObjectiveThis study aimed to determine the factors associated with minimum dietary diversity (MDD) and estimate the socioeconomic inequalities in MDD among children from five South Asian countries.DesignCross-sectional.SettingThe study used the most recent round of secondary databases of Demographic Health Survey data of Bangladesh (2017–2018), India (2019–2021), Maldives (2016–2017), Nepal (2018) and Pakistan (2017–2018).ParticipantsThis study used information on MDD and other explanatory variables from a total of 136 980 (weighted) children aged 6–23 months.MethodsMultivariable logistic regression was employed to identify the factors associated with MDD and concentration index (CIX) and Lorenz curve were used to measure the socioeconomic inequalities in MDD.ResultsThe overall weighted prevalence of MDD in South Asia was 23.37%. The highest prevalence of MDD was found among children from Maldives (70.7%), while the lowest was in Pakistan (14.2%). Living in affluent versus poor households, having a mother who is employed versus a mother who is unemployed, exposure to various forms of media (newspapers and magazines), seeking antenatal care (ANC) more than four times compared with those who sought ANC less than four times and having children older than 4 years old are the most common significant factors associated with MDD deficiency. This study found the value of the CIX for MDD (MDD: CI=0.0352; p<0.001) among children with a higher socioeconomic status, suggesting inequality in MDD in favour of the more among well-off households.ConclusionInequality in the prevalence of MDD favours the affluent. Health policy and intervention design should prioritise minimising socioeconomic inequalities concerning the MDD. In addition, policy-makers should prioritise the associated factors of MDD such as education, wealth status, employment, media exposure while designing intervention or policies.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Explanatory Variablesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Socio-economic inequalities in and factors associated with minimum dietary diversity among children aged 6–23 months in South Asia: a decomposition analysis

Rahman,

Kundu,

Rashid

et al. 2023

BMJ Open

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Socio-economic inequalities in minimum dietary diversity among Bangladeshi children aged 6–23 months: a decomposition analysis

Kundu

Das

Rahman

et al. 2022

Sci Rep

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This study aimed to measure the socio-economic inequalities in having minimum dietary diversity (MDD) among Bangladeshi children aged 6–23 months as well as to determine the factors that potentially contribute to the inequity. The Bangladesh Demographic and Health Survey (BDHS) 2017–2018 data were used in this study. A sample of 2405 (weighted) children aged 6–23 months was included. The overall weighted prevalence of MDD was 37.47%. The concentration index (CIX) value for inequalities in MDD due to wealth status was positive and the concentration curve lay below the line of equality (CIX: 0.1211, p < 0.001), where 49.47% inequality was contributed by wealth status, 25.06% contributed by the education level of mother, and 20.41% contributed by the number of ante-natal care (ANC) visits. Similarly, the CIX value due to the education level of mothers was also positive and the concentration curve lay below the line of equality (CIX: 0.1341, p < 0.001), where 52.68% inequality was contributed by the education level of mother, 18.07% contributed by wealth status, and 14.69% contributed by the number of ANC visits. MDD was higher among higher socioeconomic status (SES) groups. Appropriate intervention design should prioritize minimizing socioeconomic inequities in MDD, especially targeting the contributing factors of these inequities.

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Wealth- and education-related inequalities in minimum dietary diversity among Indonesian infants and young children: a decomposition analysis

Cited by 2 publications

References 54 publications

Socio-economic inequalities in and factors associated with minimum dietary diversity among children aged 6–23 months in South Asia: a decomposition analysis

Socio-economic inequalities in and factors associated with minimum dietary diversity among children aged 6–23 months in South Asia: a decomposition analysis

Socio-economic inequalities in minimum dietary diversity among Bangladeshi children aged 6–23 months: a decomposition analysis

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