Shifts in Social Determinants of Vitamin A Supplementation Among Children Under Five in Kenya, 2003-2014.

OBJECTIVES: In Africa and Asia, 190 million preschoolers are vitamin A deficient. This study examined the social determinants of intake of vitamin A supplementation (VAS) among children aged 6-59 months during three different time periods in Kenya to identify those most vulnerable to vitamin A deficiency and highlight the varied targeting and outreach efforts; before the onset of a national restructuring and targeted distribution of VAS in children below 5 years through a twice-yearly door-to-door campaign called Child Health Weeks, during the implementation period, and several years later. METHODS: The cross-sectional, national Demographic and Health Surveys were administered in Kenya in 2003, 2008-09, and 2014. Bivariate and multivariable logistic regression analyses were used to assess variables associated with VAS among children (n = 28,239). RESULTS: An overall two-fold increase in VAS was recorded between 2003 (31.8%) and 2014 (67.5%). In 2008-09, children aged 6-11 months were the most likely to receive VAS. In 2003 and 2014, geographical regions and settings, birth order of the child, educational level of the mother, religion, wealth index, number of antenatal visits, and access to a radio were identified as being significantly associated with VAS, in at least one of the years. These determinants were not significant in 2008-09 during the initial Child Health Weeks promotion campaign. The determinants of VAS varied during the three study periods, particularly in 2008-09 when the Child Health Weeks was first implemented. CONCLUSION: As efforts to increase VAS continue, addressing child-specific determinants will be essential to reduce health disparities.

Examining social determinants of undiagnosed diabetes in Namibia and South Africa using a behavioral model of health services use.

AIMS: To examine factors associated with undiagnosed diabetes in Namibia and South Africa. METHODS: This study used the most recent Demographic and Health Surveys (DHS) from Namibia (2013) and South Africa (2016). This study focused on adults at 35-64 years old. Using Andersen's Behavioral Model, potential contributing factors were categorized into predisposing factors (sex and education), enabling factors (wealth, health insurance, and residence), and a need factor (age, BMI, and high blood pressure). Separate multivariable logistic regression models were used to examine factors associated with undiagnosed diabetes in Namibia (N = 242) and South Africa (N = 525). RESULTS: In Namibia, higher odds of having undiagnosed diabetes were associated with rural residence (adjusted odds ratio (aOR) = 2.21) and age younger than 45 years old (aOR = 3.20). In South Africa, odds of having undiagnosed diabetes were higher among the poorest-to-poorer group than it was in the richer-to-richest group (aOR = 2.33). In both countries, having high blood pressure was associated with lower odds of having undiagnosed diabetes (aOR = 0.31 in Namibia; aOR = 0.21 in South Africa). DISCUSSION: Different enabling and need factors were associated with undiagnosed diabetes in these two countries, which implies potentially-different mechanisms driving the high prevalence of undiagnosed diabetes, as well as the needs for different solutions.

Traumatic Brain Injury Related Hospitalizations: Factors Associated with In-hospital Mortality among Elderly Patients Hospitalized with a TBI.

Background: This study aims to describe TBI-related hospitalizations for the whole population and identify factors associated with in-hospital mortality among elderly (≥65 years) patients hospitalized with TBI in Texas.Methods: Using Texas Hospital Discharge Data from 2012 to 2014, TBI-related hospitalizations were identified using International Classification of Diseases - Ninth Revision - Clinical Modification (ICD-9-CM) codes. Rates for age and gender were estimated using U.S. Census data. Univariate and multivariate analyses were used to identify factors associated with in-hospital mortality among those aged at least 65 years.Results: There were 51,419 TBI-related hospitalizations from 2012 to 2014 in Texas. Falls were the leading cause of TBI-related hospitalizations 6235 (36.64%), 6595 (38.40%), and 5412 (37.59%) for 2012, 2013, and 2014, respectively. Males had higher rates of hospitalizations while rates were highest for those above 80 years of age. Compared to Whites, Hispanics had 1.18 higher adjusted odds of in-hospital mortality [OR = 1.18: 95% CI (1.01-1.40)]. Similarly, adjusted odds of in-hospital mortality were higher among males [OR = 1.55: 95% CI (1.36-1.77)].Conclusion: This study provided evidence of demographic disparities in the burden and outcome of TBI in Texas, findings could serve as a foundation for targeted TBI prevention interventions.

Household motor vehicle ownership and obesity among Indian females and males: 2005-2016.

BACKGROUND: To determine associations between household motor vehicle ownership and obesity among Indian adults. METHODS: Bivariate and multivariable analyses were conducted using the 2005-2006 and 2015-2016 Indian Demographic and Health surveys, with over 800 000 respondents. RESULTS: Obesity prevalence (body mass index ≥25 kg/m2) rose in females (16.87% to 20.35%) and in males (12.55% to 18.74%). In 2005, having both types of vehicles (motorcycle/motor scooter and car) significantly increased the odds of obesity in females (OR, 1.63; 95% CI 1.50 to 1.76) and males (OR, 2.49; 95% CI 2.24 to 2.77) as well as in 2015 (OR, 1.10; 95% CI 1.07 to 1.13 and OR, 1.56; 95% CI 1.45 to 1.68, respectively). The wealthiest were more likely to be obese in 2005 (OR, 14.95; 95% CI 16.06 to 17.12 for females; OR, 12.69; 95% CI 10.17 to 15.70 for males) and in 2015 (OR, 7.69; 95% CI 7.43 to 7.95 for females and OR, 6.40; 95% CI 5.40 to 7.01 for males). Higher education levels, being younger and rural residence were significant protective factors in 2005 and 2015. CONCLUSIONS: After adjusting for confounders, motor vehicle ownership was significantly associated with obesity at both time points, but the effect of vehicle ownership presents differently by gender. With obesity prevalence increasing in India, policies promoting active vs motorized transport could attenuate this problem.