scholarly journals Observed magnitude and trends in socioeconomic and geographic area inequalities in obesity prevalence among non-pregnant women in Chad: evidence from three waves of Chad demographic and health surveys

2021 ◽  
Vol 79 (1) ◽  
Author(s):  
Gebretsadik Shibre ◽  
Betregiorgis Zegeye ◽  
Gashaw Garedew Woldeamanuiel ◽  
Wassie Negash ◽  
Gorems Lemma ◽  
...  
Keyword(s):  
Pregnant Women ◽  
Health Surveys ◽  
Population Attributable Risk ◽  
Population Attributable Fraction ◽  
Overweight And Obesity ◽  
World Health ◽  
Demographic And Health Surveys ◽  
Obesity Prevalence ◽  
Place Of Residence ◽  
Urban Rural

Abstract Background While the prevalence of obesity is increasing worldwide, the growing rates of overweight and obesity in developing countries are disquieting. Obesity is widely recognized as a risk factor for non-communicable diseases (NCDs), including diabetes, cancer and cardiovascular diseases. Available evidence on whether obesity has been more prevalent among higher or lower socioeconomic groups, across regions and urban-rural women’s are inconsistent. This study examined magnitude of and trends in socioeconomic, urban-rural and sub-national region inequalities in obesity prevalence among non-pregnant women in Chad. Method Using cross-sectional data from Chad Demographic and Health Surveys (DHSs) conducted in 1996, 2004 and 2014; we used the World Health Organization (WHO) Health Equity Assessment Toolkit (HEAT) to analyze socio-economic, urban-rural and regional inequalities in obesity prevalence among non-pregnant women aged 15–49 years. Inequalities were assessed using four equity stratifiers namely wealth index, educational level, place of residence and subnational region. We presented inequalities using simple and complex as well as relative and absolute summary measures such as Difference (D), Population Attributable Risk (PAR), Population Attributable Fraction (PAF) and Ratio (R). Results Though constant pattern overtime, both wealth-driven and place of residence inequality were observed in all three surveys by Difference measure and in the first and last surveys by Ratio measure. Similarly, including the recent survey (D = -2.80, 95% CI:-4.15, − 1.45, R = 0.37, 95% CI: 0.23, 0.50) absolute (in 1996 & 2014 survey) and relative (in all three surveys) educational status inequality with constant pattern were observed. Substantial absolute (PAR = -2.2, 95% CI: − 3.21, − 1.34) and relative (PAF = − 91.9, 95% CI: − 129.58, − 54.29) regional inequality was observed with increasing and constant pattern by simple (D) and complex (PAR, PAF) measures. Conclusion The study showed socioeconomic and area-based obesity inequalities that disfavored women in higher socioeconomic status and residing in urban areas. Prevention of obesity prevalence should be government and stakeholders’ priority through organizing the evidence, health promotion and prevention interventions for at risk population and general population.

scholarly journals Regional Variation and Socioeconomic Inequalities in Obesity Prevalence Among Non-pregnant Women in Chad: Evidence From Three Waves of Chad Demographic and Health Surveys

2020 ◽  
Author(s):  
Gebretsadik Shibre ◽  
Betregiorgis Hailu Zegeye ◽  
Gashaw Woldeamanuiel Garedew ◽  
Wassie Negash ◽  
Gorems Lemma ◽  
...  
Keyword(s):  
Pregnant Women ◽  
Health Surveys ◽  
Population Attributable Fraction ◽  
Overweight And Obesity ◽  
World Health ◽  
Demographic And Health Surveys ◽  
Obesity Prevalence ◽  
Place Of Residence ◽  
Regional Inequalities ◽  
Urban Rural

Abstract Background: While the prevalence of obesity is increasing worldwide, the growing rates of overweight and obesity in developing countries are alarming. Obesity is widely recognized as a risk factor for non-communicable diseases (NCDs), including diabetes, cancer and cardiovascular diseases. Available evidence on whether obesity has been more prevalent among higher or lower socioeconomic groups, across regions and urban-rural women’s are inconsistent. This study examined socioeconomic, urban-rural and sub-national regional inequalities in obesity among non-pregnant women in Chad.Method: Using cross-sectional data from Demographic and Health Surveys (DHS) from Chad conducted between 1996 and 2014, we used the World Health Organization Health Equity Assessment Toolkit to analyze the socio-economic and regional inequalities in obesity prevalence among non-pregnant women aged 15-49 years. Inequalities are assessed using socioeconomic and demographic indicators such as wealth index, education level and place of residence. We presented inequalities using both simple and complex summary measures, namely Difference (D), Population Attributable Risk (PAR), Population Attributable Fraction (PAF) and Ratio (R).Results: Though constant pattern overtime, both wealth-driven and place of residence inequality were observed in all three surveys by Difference measure and in the first and last surveys by Ratio measure. Similarly, including the recent survey (D=-2.80%, 95% CI:-4.15, -1.45, R= 0.37%, 95% CI: 0.23, 0.50) absolute (in 1996 & 2014 survey) and relative (in all three surveys) educational status inequality with constant pattern were observed. Substantial absolute (PAR=-2.2%, 95% CI: -3.21, -1.34) and relative (PAF= -91.9%, 95% CI: -129.58, -54.29) regional inequality was observed with increasing and constant pattern by simple (D) and complex (PAR, PAF) measures. Conclusion: Both socioeconomic and area-based obesity inequalities disfavoring women in the higher socioeconomic status and residing in urban areas. Prevention of obesity prevalence should be government and stakeholders’ priority through organizing the evidence, health promotion and prevention interventions for at risk population and general population.

scholarly journals Time trends in socio-economic, urban-rural and regional disparities in prevalence of obesity among non-pregnant women in Lesotho: evidence from Lesotho demographic and health surveys (2004–2014)

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Betregiorgis Zegeye ◽  
Gebretsadik Shibre ◽  
Gashaw Garedew Woldeamanuel
Keyword(s):  
Pregnant Women ◽  
Health Surveys ◽  
Educational Inequality ◽  
Statistical Significance ◽  
World Health ◽  
Demographic And Health Surveys ◽  
Obesity Prevalence ◽  
Urban Rural ◽  
Prevalence Of Obesity ◽  
Health Organization

Abstract Background The growing rates of obesity in developing countries are alarming. There is a paucity of evidence about disparities of obesity in Lesotho. This study examined socioeconomic and area-based inequalities in obesity among non-pregnant women in Lesotho. Methods Data were extracted from the 2004, 2009 and 2014 Lesotho Demographic and Health Surveys (LDHS) and analyzed through the recently updated Health Equity Assessment Toolkit (HEAT) of the World Health Organization. Obesity prevalence was disaggregated by four equity stratifiers, namely education, wealth, residence and sub-national region. For each equity stratifier, simple and complex as well as relative and absolute summary measures were calculated. A 95% confidence interval was used to measure statistical significance of findings. Results We noticed substantial wealth-driven (D = -21.10, 95% CI; − 25.94, − 16.26), subnational region (PAR = -11.82, 95%CI; − 16.09, − 7.55) and urban-rural (− 9.82, 95% CI; − 13.65, − 5.99) inequalities in obesity prevalence without the inequalities improved over time in all the studied years. However, we did not identify educational inequality in obesity. Conclusions Wealth-driven and geographical inequalities was identified in Lesotho in all the studied time periods while education related inequalities did not appear during the same time period. All population groups in the country need to be reached with interventions to reduce the burden of obesity in the country.

scholarly journals Sub-regional disparities in the use of antenatal care service in Mauritania: findings from nationally representative demographic and health surveys (2011–2015)

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Gebretsadik Shibre ◽  
Betregiorgis Zegeye ◽  
Bright Opoku Ahinkorah ◽  
Dina Idriss-Wheeler ◽  
Mpho Keetile ◽  
...  
Keyword(s):  
Antenatal Care ◽  
Maternal Mortality ◽  
Statistical Significance ◽  
Maternal Mortality Ratio ◽  
Population Attributable Risk ◽  
Population Attributable Fraction ◽  
Regional Disparities ◽  
World Health ◽  
Demographic And Health Surveys ◽  
Mortality Ratio

Abstract Background Skilled antenatal care (ANC) has been identified as a proven intervention to reducing maternal deaths. Despite improvements in maternal health outcomes globally, some countries are signaling increased disparities in ANC services among disadvantaged sub-groups. Mauritania is one of sub-Saharan countries in Africa with a high maternal mortality ratio. Little is known about the inequalities in the country’s antenatal care services. This study examined both the magnitude and change from 2011 to 2015 in socioeconomic and geographic-related disparities in the utilization of at least four antenatal care visits in Mauritania. Methods Using the World Health Organization’s Health Equity Assessment Toolkit (HEAT) software, data from the 2011 and 2015 Mauritania Multiple Indicator Cluster Surveys (MICS) were analyzed. The inequality analysis consisted of disaggregated rates of antenatal care utilization using four equity stratifiers (economic status, education, residence, and region) and four summary measures (Difference, Population attributable risk, Ratio and Population attributable fraction). A 95% Uncertainty Interval was constructed around point estimates to measure statistical significance. Results Substantial absolute and relative socioeconomic and geographic related disparities in attending four or more ANC visits (ANC4+ utilization) were observed favoring women who were richest/rich (PAR = 19.5, 95% UI; 16.53, 22.43), educated (PAF = 7.3 95% UI; 3.34, 11.26), urban residents (D = 19, 95% UI; 14.50, 23.51) and those living in regions such as Nouakchott (R = 2.1, 95% UI; 1.59, 2.56). While education-related disparities decreased, wealth-driven and regional disparities remained constant over the 4 years of the study period. Urban-rural inequalities were constant except with the PAR measure, which showed an increasing pattern. Conclusion A disproportionately lower ANC4+ utilization was observed among women who were poor, uneducated, living in rural areas and regions such as Guidimagha. As a result, policymakers need to design interventions that will enable disadvantaged subpopulations to benefit from ANC4+ utilization to meet the Sustainable Development Goal (SDG) of reducing the maternal mortality ratio (MMR) to 140/100, 000 live births by 2030.

scholarly journals Regional variations and socio-economic disparities in neonatal mortality in Angola: a cross-sectional study using demographic and health surveys

2020 ◽  
Vol 37 (6) ◽  
pp. 785-792
Author(s):  
Sanni Yaya ◽  
Betregiorgis Zegeye ◽  
Bright Opoku Ahinkorah ◽  
Olanrewaju Oladimeji ◽  
Gebretsadik Shibre
Keyword(s):  
Neonatal Mortality ◽  
Rural Areas ◽  
Formal Education ◽  
Statistical Significance ◽  
Population Attributable Risk ◽  
Population Attributable Fraction ◽  
World Health ◽  
Demographic And Health Surveys ◽  
Gender Inequalities ◽  
Cross Sectional

Abstract Background Inequalities in neonatal mortality rates (NMRs) in low- and middle-income countries show key disparities at the detriment of disadvantaged population subgroups. There is a lack of scholarly evidence on the extent and reasons for the inequalities in NMRs in Angola. Objective The aim of this study was to assess the socio-economic, place of residence, region and gender inequalities in the NMRs in Angola. Methods The World Health Organization Health Equity Assessment Toolkit software was used to analyse data from the 2015 Angola Demographic and Health Survey. Five equity stratifiers: subnational regions, education, wealth, residence and sex were used to disaggregate NMR inequality. Absolute and relative inequality measures, namely, difference, population attributable fraction (PAF), population attributable risk (PAR) and ratio, were calculated to provide a broader understanding of the inequalities in NMR. Statistical significance was calculated at corresponding 95% uncertainty intervals. Findings We found significant wealth-driven [PAR = −14.16, 95% corresponding interval (CI): −15.12, −13.19], education-related (PAF = −22.5%, 95% CI: −25.93, −19.23), urban–rural (PAF = −14.5%, 95% CI: −16.38, −12.74), sex-based (PAR = −5.6%, 95% CI: −6.17, −5.10) and subnational regional (PAF = −82.2%, 95% CI: −90.14, −74.41) disparities in NMRs, with higher burden among deprived population subgroups. Conclusions High NMRs were found among male neonates and those born to mothers with no formal education, poor mothers and those living in rural areas and the Benguela region. Interventions aimed at reducing NMRs, should be designed with specific focus on disadvantaged subpopulations.

scholarly journals Time trends, geographical, socio-economic, and gender disparities in neonatal mortality in Burundi: evidence from the demographic and health surveys, 2010–2016

2020 ◽  
Vol 78 (1) ◽  
Author(s):  
Sanni Yaya ◽  
Betregiorgis Zegeye ◽  
Bright Opoku Ahinkorah ◽  
Edward Kwabena Ameyaw ◽  
Abdul-Aziz Seidu ◽  
...  
Keyword(s):  
Neonatal Mortality ◽  
Urban Areas ◽  
Economic Status ◽  
Statistical Significance ◽  
Population Attributable Risk ◽  
Population Attributable Fraction ◽  
Demographic And Health Surveys ◽  
Live Births ◽  
Urban Rural ◽  
Over Time

Abstract Background Programmatic and research agendas surrounding neonatal mortality are important to help countries attain the child health related 2030 Sustainable Development Goal (SDG). In Burundi, the Neonatal Mortality Rate (NMR) is 25 per 1000 live births. However, high quality evidence on the over time evolution of inequality in NMR is lacking. This study aims to address the knowledge gap by systematically and comprehensively investigating inequalities in NMR in Burundi with the intent to help the country attain SDG 3.2 which aims to reduce neonatal mortality to at least as low as 12 per 1000 live births by 2030. Methods The Burundi Demographic and Health Survey (BDHS) data for the periods of 2010 and 2016 were used for the analyses. The analyses were carried out using the WHO’s HEAT version 3.1 software. Five equity stratifiers: economic status, education, residence, sex and subnational region were used as benchmark for measuring NMR inequality with time over 6 years. To understand inequalities from a broader perspective, absolute and relative inequality measures, namely Difference, Population Attributable Risk (PAR), Ratio, and Population Attributable Fraction (PAF) were calculated. Statistical significance was measured by computing corresponding 95% Confidence Intervals (CIs). Results NMR in Burundi in 2010 and 2016 were 36.7 and 25.0 deaths per 1000 live births, respectively. We recorded large wealth-driven (PAR = -3.99, 95% CI; − 5.11, − 2.87, PAF = -15.95, 95% CI; − 20.42, − 11.48), education related (PAF = -6.64, 95% CI; − 13.27, − 0.02), sex based (PAR = -1.74, 95% CI; − 2.27, − 1.21, PAF = -6.97, 95% CI; − 9.09, − 4.86), urban-rural (D = 15.44, 95% CI; 7.59, 23.29, PAF = -38.78, 95% CI; − 45.24, − 32.32) and regional (PAR = -12.60, 95% CI; − 14.30, − 10.90, R = 3.05, 95% CI; 1.30, 4.80) disparity in NMR in both survey years, except that urban-rural disparity was not detected in 2016. We found both absolute and relative inequalities and significant reduction in these inequalities over time - except at the regional level, where the disparity remained constant during the study period. Conclusion Large survival advantage remains to neonates of women who are rich, educated, residents of urban areas and some regions. Females had higher chance of surviving their 28th birthday than male neonates. More extensive work is required to battle the NMR gap between different subgroups in the country.

scholarly journals Socio-economic and geographical inequalities in adolescent fertility rate in Ghana, 1993–2014

2021 ◽  
Vol 79 (1) ◽  
Author(s):  
Bright Opoku Ahinkorah ◽  
Eugene Budu ◽  
Henry Ofori Duah ◽  
Joshua Okyere ◽  
Abdul-Aziz Seidu
Keyword(s):  
Adolescent Girls ◽  
Population Attributable Risk ◽  
Population Attributable Fraction ◽  
Fertility Rate ◽  
Sub Saharan Africa ◽  
World Health ◽  
Demographic And Health Surveys ◽  
Fertility Rates ◽  
Adolescent Fertility ◽  
Sub Saharan

Abstract Background Despite public health interventions to control adolescent fertility, it remains high in sub-Saharan Africa. Ghana is one of the countries in sub-Saharan Africa with the highest adolescent fertility rates. We examined the trends and socio-economic and geographical patterns of disparities in adolescent fertility in Ghana from 1993 to 2014. Methods Using the World Health Organization’s (WHO) Health Equity Assessment Toolkit (HEAT) software, data from the 1993–2014 Ghana Demographic and Health surveys were analyzed. First, we disaggregated adolescent fertility rates (AFR) by four equity stratifiers: wealth index, education, residence and region. Second, we measured the inequality through summary measures, namely Difference (D), Population Attributable Risk (PAR), Ratio (R) and Population Attributable Fraction (PAF). A 95 % confidence interval was constructed for point estimates to measure statistical significance. Results We observed substantial absolute and relative wealth-driven inequality in AFR (PAR=-47.18, 95 % CI; -49.24, -45.13) and (PAF= -64.39, 95 % CI; -67.19, -61.59) respectively in favour of the economically advantaged subpopulations. We found significant absolute (D = 69.56, 95 % CI; 33.85, 105.27) and relative (R = 3.67, 95 % CI; 0.95, 6.39) education-based inequality in AFR, with higher burden of AFR among disadvantaged subpopulations (no formal education). The Ratio measure (R = 2.00, 95 % CI; 1.53, 2.47) indicates huge relative pro-urban disparities in AFR with over time increasing pattern. Our results also show absolute (D, PAR) and relative (R, PAF) inequality in AFR across subnational region, between 2003 and 2014. For example, in the 2014 survey, the PAR measure (D=-28.22, 95 % CI; -30.58, -25.86) and the PAF measure (PAF=-38.51, 95 % CI; -41.73, -35.29) indicate substantial absolute and relative regional inequality. Conclusions This study has indicated the existence of inequality in adolescent fertility rate in Ghana, with higher ferlitiy rates among adolescent girls who are poor, uneducated, rural residents and those living in regions such as Northern, Brong Ahafo, and Central region, with increasing disparity over the time period of the study. There is the need for policy interventions that target adolescent girls residing in the rural areas and those in the low socioeconomic subgroups to enable the country to avert the high maternal/newborn morbidity and mortality usually associated with adolescent childbearing.

scholarly journals Inequalities in Stunting Prevalence Among Children Under Age 5 in Ghana Between 1998 and 2014

2021 ◽  
Author(s):  
Collins Adu ◽  
Edward Kwabena Ameyaw ◽  
Pascal Agbadi ◽  
Ebenezer Agbaglo ◽  
Justice Kanor Tetteh ◽  
...  
Keyword(s):  
Statistical Significance ◽  
Population Attributable Risk ◽  
Population Attributable Fraction ◽  
Wealth Index ◽  
Northern Region ◽  
World Health ◽  
Demographic And Health Surveys ◽  
Children Under Five ◽  
Under Five ◽  
Summary Measures

Abstract BackgroundOver the years, Ghana has made significant improvements in the nutritional status of children, particularly concerning stunting. Though these improvements are commendable, there are concerns of inequalities in the prevalence of stunting among children under five. To this end, we examined the trends and inequalities in the determinants of stunting prevalence in children under five in Ghana, throughout 1998-2014.MethodsUsing the World Health Organization’s (WHO) Health Equity Assessment Toolkit (HEAT) software, we analysed data from the 1998-2014 Ghana Demographic and Health Surveys (GDHS). We approached the inequality analysis in two steps. First, we disaggregated stunting prevalence among children < 5 years by five equity stratifiers: wealth index, education, sex, residence, and region. Second, we measured the inequality through summary measures, namely Difference, Population Attributable Risk, Ratio, and Population Attributable Fraction. A 95% confidence interval was constructed for point estimates to measure statistical significance.ResultsConcerning economic status, only the simple summary measures (Difference [D], Ratio [R]) showed significant inequality in stunting. For instance, both D (23.40; 17.55-29.25) and R (2.43; 1.78-3.09) revealed substantial economic variation in stunting in 1998 and the same trend was noted across all the survey years. The complex summary measures, however, showed a significant but negative association. Both D (16.36; 12.13-20.60) and R (1.90; 1.51-2.28) revealed a positive significant disparity in favour of urban residents in 1998. The simple measures further indicated a significant disparity in stunting at the detriment of male children throughout the period studied. Finally, a significant disparity at the expense of children in the Northern Region was evident in 1998 (D=31.00; R=3.22), 2003 (D=37.21; R=3.17) and 2014 (D=22.73; R=3.19).ConclusionInequalities in stunting prevalence in Ghana is to the disadvantaged children of poorest wealth quintile, mothers with no formal education, male children, rural residents and the Northern Region of Ghana. We recommend the introduction and strengthening of equitable interventions focusing on nutrition on sub-populations in the country who suffer from a higher burden of stunting.

scholarly journals Changes over time in HIV testing and counselling uptake and associated factors among youth in Zambia: a cross-sectional analysis of demographic and health surveys from 2007 to 2018

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Aimé Bitakuya Heri ◽  
Francesca L. Cavallaro ◽  
Nurilign Ahmed ◽  
Maurice Mubuyaeta Musheke ◽  
Mitsuaki Matsui
Keyword(s):  
Pregnant Women ◽  
Hiv Testing ◽  
Health Surveys ◽  
Health Centre ◽  
Demographic And Health Surveys ◽  
Common Source ◽  
Cross Sectional ◽  
Government Health ◽  
Hiv Testing And Counselling ◽  
Testing Uptake

Abstract Introduction Zambia is among the countries with the highest HIV burden and where youth remain disproportionally affected. Access to HIV testing and counselling (HTC) is a crucial step to ensure the reduction of HIV transmission. This study examines the changes that occurred between 2007 and 2018 in access to HTC, inequities in testing uptake, and determinants of HTC uptake among youth. Methods We carried out repeated cross-sectional analyses using three Zambian Demographic and Health Surveys (2007, 2013–14, and 2018). We calculated the percentage of women and men ages 15–24 years old who were tested for HIV in the last 12 months. We analysed inequity in HTC coverage using indicators of absolute inequality. We performed bivariate and multivariate logistic regression analyses to identify predictors of HTC uptake in the last 12 months. Results HIV testing uptake increased between 2007 and 2018, from 45 to 92% among pregnant women, 10 to 58% among non-pregnant women, and from 10 to 49% among men. By 2018 roughly 60% of youth tested in the past 12 months used a government health centre. Mobile clinics were the second most common source reaching up to 32% among adolescent boys by 2018. Multivariate analysis conducted among men and non-pregnant women showed higher odds of testing among 20–24 year-olds than adolescents (aOR = 1.55 [95%CI:1.30–1.84], among men; and aOR = 1.74 [1.40–2.15] among women). Among men, being circumcised (aOR = 1.57 [1.32–1.88]) and in a union (aOR = 2.44 [1.83–3.25]) were associated with increased odds of testing. For women greater odds of testing were associated with higher levels of education (aOR = 6.97 [2.82–17.19]). Education-based inequity was considerably widened among women than men by 2018. Conclusion HTC uptake among Zambian youth improved considerably by 2018 and reached 65 and 49% tested in the last 12 months for women and men, respectively. However, achieving the goal of 95% envisioned by 2020 will require sustaining the success gained through government health centres, and scaling up the community-led approaches that have proven acceptable and effective in reaching young men and adolescent girls who are less easy to reach through the government facilities.

scholarly journals Urban–Rural Disparities in the Magnitude and Determinants of Stunting among Children under Five in Tanzania: Based on Tanzania Demographic and Health Surveys 1991–2016

2021 ◽  
Vol 18 (10) ◽  
pp. 5184
Author(s):  
Wenjun Zhu ◽  
Si Zhu ◽  
Bruno F. Sunguya ◽  
Jiayan Huang
Keyword(s):  
Urban Areas ◽  
Health Surveys ◽  
Demographic And Health Surveys ◽  
Household Level ◽  
Individual Level ◽  
Child Stunting ◽  
Rural And Urban Areas ◽  
Rural And Urban ◽  
Urban Rural ◽  
The Individual

Our study aims to examine the disparity of under-5 child stunting prevalence between urban and rural areas of Tanzania in the past three decades, and to explore factors affecting the rural–urban disparity. Secondary analyses of Tanzania Demographic and Health Surveys (TDHS) data drawn from 1991–1992, 1996, 1999, 2004–2005, 2009–2010, and 2015–2016 surveys were conducted. Under-5 child stunting prevalence was calculated separately for rural and urban children and its decline trends were examined by chi-square tests. Descriptive analyses were used to present the individual-level, household-level, and societal-level characteristics of children, while multivariable logistic regression analyses were performed to examine determinants of stunting in rural and urban areas, respectively. Additive interaction effects were estimated between residence and other covariates. The results showed that total stunting prevalence was declining in Tanzania, but urban–rural disparity has widened since the decline was slower in the rural area. No interaction effect existed between residence and other determinants, and the urban–rural disparity was mainly caused by the discrepancy of the individual-level and household-level factors between rural and urban households. As various types of determinants exist, multisector nutritional intervention strategies are required to address the child stunting problem. Meanwhile, the intervention should focus on targeting vulnerable children, rather than implementing different policies in rural and urban areas.

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