Modeling the Risk Factors of Undernutrition among Children below Five Years of Age in Uganda Using Generalized Structural Equation Models.

INTRODUCTION: The prevalence of undernutrition among children below five years of age, in Uganda and the world over, remains very high. About 45% of all global deaths among children below five years of age are attributed to undernutrition. A number of studies using different statistical approaches affirm this effect, yet some factors indicate the influence of other factors within the system. This study, therefore, uses a method that demonstrates how different variables feed into each other. AIM: The aim of this study was to establish the major factors associated with an increased likelihood of undernutrition and the paths showing how these risk factors influence undernutrition. METHODS: Data from the Uganda Demographic and Health Survey (UDHS, 2016) were used for this study. A sample of 4530 children, whose age, height, and weight measurements were recorded, was considered for this study. Additionally, the study used generalized structural equation models to identify the multifaceted natures and paths of the risk factors that influence undernutrition among children below five years of age. The study relied on the UNICEF 2020 conceptual framework to identify and analyze the direct and indirect effects of these risk factors of undernutrition. RESULTS: From the perspective of a male child, having a perceived small size at birth, a low birth weight, being breastfed for less than 6 months, having no formal education from mothers, limited income-generating opportunities, a low wealth status, and notable episodes of diarrhea were among the key factors associated with an increased likelihood of undernutrition. The identified paths were as follows: (i) Having no education, as this was associated with limited working opportunities and a low income, which increases the likelihood of low household wealth status, hence increasing the chances of undernutrition. (ii) Exposure to a rural setting was associated with an increased likelihood of undernutrition through association with poor and or low employment levels within the rural areas. (iii) A shorter duration of breastfeeding was associated with children in urban areas, resulting in an increased likelihood of undernutrition. (iv) Children aged between 6 and 47 months had a higher likelihood of undernutrition. CONCLUSIONS: An approach that addresses and recognizes all these factors at different levels, along the established paths, should be implemented to effectively reduce undernutrition among children below five years of age.

Undernutrition among the children below five years of age in Uganda: a spatial analysis approach.

BACKGROUND: Undernutrition is a health condition caused by a lack of enough food intake, not having enough of the right combination of food nutrients, or the body's failure to utilize the food eaten resulting in either, stunting, being underweight, or wasting. Globally, undernutrition affects more than 149 million under-five children, while in Uganda about 3 in every 10 children suffer from undernutrition. Undernutrition and its risk factors among under-five children in Uganda were unevenly distributed across the country and a study that focused on spatial distribution was prudent to examine the nature of the problem and salient factors associated with it. The current study addressed the issues of spatial heterogeneity of undernutrition and its determinants with the goal to identify hot spots and advise policymakers on the best actions to be taken to address the problem. METHODS: Data were obtained from the 2016 Uganda Demographic and Health Survey. Prevalence rates and percentages of risk factors were combined with the Uganda district shape file to allow spatial analysis. Moran's I, Getis-Ord (GI*), and Geographically Weighted Regressions were respectively used to establish the local, global, and geographically weighted regressions across the country. Stata 15 and ArcGIS 10. 7 soft wares were used. RESULTS: The results indicate that undernutrition in Uganda shows varies spatially across regions. Evidence of hot spots exists in the Karamoja and Arua regions, cold spot areas exist around the central part of the country while the greatest part of Western Uganda, Northern, and Eastern were not significant. CONCLUSION: The study reveals that a variation in the distribution of undernutrition throughout the country. Significant spatial patterns associated with undernutrition as identified through the hotspot and cold spot analysis do exist in Uganda. Programs targeting to reduce the undernutrition of under-five children in Uganda should consider the spatial distribution of undernutrition and its determinants whereby priority should be given to hotspot areas. The spatial intensity of undernutrition and its determinants indicate that focus should be tailored to meet the local needs as opposed to a holistic national approach.

Prevalence and determinants of death registration and certification uptake in Uganda.

Death registration in Uganda remains extremely low, yet mortality statistics are vital in health policy, planning, resource allocation and decision-making. According to NIRA, only 1% of deaths are registered annually, while Uganda Bureau of Statistics estimates death registration at 24% for the period 2011-2016. The wide variation between the administrative and survey statistics can be attributed to the restriction to only certified death registration by NIRA while survey statistics relate to all forms of death notification and registration at the different sub-national levels. Registration of deaths is of critical importance to individuals and a country's government. Legally, it grants administrative rights in management of a deceased's estate, and access to social (insurance and pension) benefits of a deceased person. It is also essential for official statistics and planning purposes. There is an urgent need for continuous and real-time collection of mortality data or statistics in Uganda. These statistics are of significance in public health for identifying the magnitude and distribution of major disease problems, and are essential for the design, implementation, monitoring, and assessment of health programmes and policies. Lack of such continuous and timely data has negative consequences for the achievement of both national and Sustainable Development Goals 3, 11, 16, and 17. This study assessed the determinants of death registration and certification, using a survey of 2018-2019 deaths in 2,100 households across four administrative regions of Uganda and Kampala district. Multivariate-binary logistic regression was used to model factors associated with the likelihood of a death being registered or certified. We find that around one-third of deaths were registered while death certificates were obtained for less than 5% of the total deaths. Death registration and certification varied notably within Uganda. Uptake of death registration and certification was associated with knowledge on death registration, region, access to mass media, age of the deceased, place of death, occupation of the deceased, relationship to household head and request for death certificate. There is need for decentralization of death registration services; massive sensitization of communities and creating demand for death registration.

Interrelationships between early antenatal care, health facility delivery and early postnatal care among women in Uganda: a structural equation analysis.

BACKGROUND: Early medical checkups during and after delivery are key strategies to detect, prevent and treat maternal health concerns. Knowledge of interrelationships between early Antenatal Care (ANC), skilled delivery and early postnatal care (EPNC) is essential for focused and well-targeted interventions. This paper investigated the interconnectedness between maternal health services in Uganda. OBJECTIVE: This study examines the predictors of interrelationships between early antenatal care, health facility delivery and early postnatal care. METHODS: We used a sample of 10,152 women of reproductive ages (15-49), who delivered a child five years prior to the 2016 Uganda Demographic and Health Survey. A generalized Structural Equation Model and STATA 13.0 software were used. RESULTS: Early ANC was a mediating factor for health facility delivery (aOR=1.04; 95% CI=1.01-1.14) and EPNC (aOR=1.1; 95% CI=1.05-1.26). Increased odds of early ANC utilization was directly associated with: Adult women aged 35-49 (aOR=1.18; 95% CI=1.10-1.35), having completed primary seven (aOR=1.68; 95% CI=1.56-1.84); distance to a health facility (aOR=1.35; 95% CI=1.23-1.73) and costs (aOR=1.85; 95% CI=1.31-2.12) not being a problem, available community workers (aOR=1.06; 95% CI=1.04-1.17), pregnancy complications (aOR=2.04; 95% CI=1.85-2.26) and desire for pregnancy (aOR=1.15; 95% CI=1.07-1.36). Through early ANC utilization, being married (aOR=1.16; (=1.04*1.10)), no distance issues ((aOR=1.40; (=1.04*1.35)) and complications (aOR=2.12; (=1.04*2.04)) indirectly influenced utilization of health facility delivery. Women aged 20-34 (aOR=1.01; (=0.92*1.1)), completing primary seven (aOR=1.85; (=1.69*1.1)) and no cost problems (aOR=2.04; (=1.85*1.1)) indirectly influenced EPNC. CONCLUSION: Early antenatal care was a mediating factor for health facility delivery and EPNC; and hence, there is need for more focus on factors for increased early antenatal care utilization. Women with higher education and those with no cost problems were more likely to have early ANC utilization, skilled delivery and EPNC; therefore there is need to design and implement policies targeting social and economically disadvantaged women.

Relationship between socioeconomic status and risk of sexually transmitted infections in Uganda: Multilevel analysis of a nationally representative survey.

Socioeconomic status (SES) appears to have positive and negative associations with sexually transmitted infection (STI) risk in resource-limited settings, but few studies have evaluated nationally representative data. We assessed multiple SES measures and their effect on STI risk. We conducted a secondary analysis of data from the Uganda Demographic and Health Survey (UDHS 2011). The primary outcome (STI risk) was self-reported STIs and/or symptoms in the prior 12 months. We examined associations between multiple SES measures and STI risk using a mixed-effects Poisson regression model. The results showed that of the 9256 sexually active individuals, 7428 women and 1828 men were included in the analysis. At an individual level, middle wealth quintile and disposable income were associated with STI risk, whereas being in the richest wealth quintile was protective. Residence in wealthier regions (adjusted incidence rate ratio [aIRR] 3.92, 3.62, and 2.75, for Central, Western, and Eastern regions; p < 0.01) was associated with increased STI risk. Regional level analysis revealed stochastic variability of STI risk across geographical region (variance 0.03; p = 0.01). The bilateral association between SES and STI risk underscores the need for multi-sectoral interventions to address the upstream effects of poverty on STI risk and downstream effects of STIs on health and economic productivity.

A structural equation analysis on the relationship between maternal health services utilization and newborn health outcomes: a cross-sectional study in Eastern Uganda.

BACKGROUND: Neonatal and maternal health services have a bearing on neonatal mortality. Direct and indirect factors affecting neonatal health outcomes therefore require understanding to enable well-targeted interventions. This study, therefore, assessed the interrelationship between newborn health outcomes and maternal service utilization factors. METHODS: We investigated maternal health utilization factors using health facility delivery and at least four Antenatal Care (ANC) visits; and newborn health outcomes using newborn death and low birth weight (LBW). We used data from a household cross-sectional survey that was conducted in 2015 in Kamuli, Pallisa and Kibuku districts. We interviewed 1946 women who had delivered in the last 12 months. The four interrelated (Endogenous) outcomes were ANC attendance, health facility delivery, newborn death, and LBW. We performed analysis using a structural equation modeling technique. RESULTS: A history of newborn death (aOR = 12.64, 95% CI 5.31-30.10) and birth of a LBW baby (aOR = 3.51, 95% CI 1.48-8.37) were directly related to increased odds of newborn death. Factors that reduced the odds of LBW as a mediating factor for newborn death were ANC fourth time attendance (aOR = 0.62, 95% CI 0.45-0.85), having post-primary level education (aOR = 0.68, 95% CI 0.46-0.98) compared to none and being gravida three (aOR = 0.49, 95% CI 0.26-0.94) compared to being gravida one. Mother's age group, 20-24 (aOR = 0.24, 95% CI 0.08-0.75) and 25-29 years (aOR = 0.20, 95% CI 0.05-0.86) compared to 15-19 years was also associated with reduced odds of LBW. Additionally, ANC visits during the first trimester (aOR = 2.04, 95% CI 1.79-2.34), and village health teams (VHTs) visits while pregnant (aOR = 1.14, 95% CI 1.01-1.30) were associated with increased odds of at least four ANC visits, which is a mediating factor for health facility delivery, LBW and newborn death. Surprisingly, newborn death was not significantly different between health facility and community deliveries. CONCLUSIONS: Attending ANC at least four times was a mediating factor for reduced newborn death and low birth weight. Interventions in maternal health and newborn health should focus on factors that increase ANC fourth time attendance and those that reduce LBW especially in resource-limited settings. Targeting women with high-risk pregnancies is also crucial for reducing newborn deaths.

Diabetes and quality of life: a Ugandan perspective.

Quality of life of diabetic patients is not a new concept in literature. The contentious issue however is whether factors associated in literature with quality of life apply to diabetic patients in Uganda. A sample of 219 outpatients attending Mulago diabetic clinic--a national referral hospital in Uganda--is used to provide an understanding of this issue. Quality of life is assessed in the dimensions of role limitation due to physical health, emotional health, treatment satisfaction, physical endurance, and diet satisfaction based on a five-point Likert scale. The analysis is made by patients' characteristics, medical conditions, lifestyle factors, and type of medication using frequency distributions, summary statistics, and a Poisson regression. In the results, we confirm a consensus regarding the influence of age and education level on the quality of life in the dimensions of role limitation and physical endurance (P < 0.05). A similar conclusion is reached with regards to impact of diabetic foot ulcers in the dimension of physical endurance. Thus, the factors associated with quality of life are not entirely unique to diabetic patients in the country.

Examining small area estimation techniques for public health intervention: lessons from application to under-5 mortality data in Uganda.

In Uganda, estimates of under-5 mortality are available only at national and regional levels. None exist at decentralized levels of governance or district level. Using small area statistical techniques in a Hierarchical Bayesian Framework, we applied a modeling approach to determine whether we could learn how to target health interventions to reduce under-5 mortality at the district level. Our modeling approach has an advantage over the commonly used Standardized Mortality Ratios, as it estimates the relative risk of under-5 mortality for a particular district. Using data from Uganda's Demographic and Health Survey in 2006, we were able to estimate relative risk of under-5 mortality for each district. Our findings reveal the evidence of district-to-district variations in under-5 mortality with potential spatial clustering. We believe that this information will be useful in Uganda, as interventions can be targeted at districts with higher relative risk of under-5 mortality. Discussion of these results at district level could increase funding for primary health-care activities. Our analysis also suggests the utility of small area techniques for other countries and other health problems.