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- All Subjects: public health
- Creators: Hruschka, Daniel
- Creators: Vega-Lopez, Sonia
Significant health inequalities exist between different castes and ethnic communities in India, and identifying the roots of these inequalities is of interest to public health research and policy. Research on caste-based health inequalities in India has historically focused on general, government-defined categories, such as “Scheduled Castes,” “Scheduled Tribes,” and “Other Backward Classes.” This method obscures the diversity of experiences, indicators of well-being, and health outcomes between castes, tribes, and other communities in the “scheduled” category. This study analyzes data on 699,686 women from 4,260 castes, tribes and communities in the 2015-2016 Demographic and Health Survey of India to: (1) examine the diversity within and overlap between general, government-defined community categories in both wealth, infant mortality, and education, and (2) analyze how infant mortality is related to community category membership and socioeconomic status (measured using highest level of education and household wealth). While there are significant differences between general, government-defined community categories (e.g., scheduled caste, backward class) in both wealth and infant mortality, the vast majority of variation between communities occurs within these categories. Moreover, when other socioeconomic factors like wealth and education are taken into account, the difference between general, government-defined categories reduces or disappears. These findings suggest that focusing on measures of education and wealth at the household level, rather than general caste categories, may more accurately target those individuals and households most at risk for poor health outcomes. Further research is needed to explain the mechanisms by which discrimination affects health in these populations, and to identify sources of resilience, which may inform more effective policies.
Investigation one revealed a moderate-to-large effect size for school-based interventions (n=10) increasing CVF (g=0.75; 95%CI [0.40-1.11]). Multi-level interventions (g=.79 [0.34-1.25]) were more effective than interventions focused on the individual (g=0.67 [0.12-1.22]). In investigations two and three children (78.3% Hispanic; mean ± SD age 53.2±4.5 months) completed a mean ± SD 3.7±2.3 PACER laps and 19.0±5.5 CSMP criteria. Individual and family factors associated with PACER laps included child sex (B=-0.96, p=0.03) and age (B=0.17, p<0.01), parents’ promotion of inactivity (B=0.66, p=0.08) and screen time (B=0.65, p=0.05), and parents’ concern for child’s safety during physical activity (B=-0.36, p=0.09). Child age (B=0.47, p<0.01) and parent employment (B=2.29, p=0.07) were associated with CMSP criteria. At the ECEC level, policy environment quality (B=-0.17; p=0.01) was significantly associated with number of PACER laps completed. Outdoor play environment quality (B=0.18; p=0.03), outdoor play equipment total (B=0.32; p<0.01) and screen time environment quality (B=0.60; p=0.02) were significantly associated with CMSP criteria. Researchers, ECEC teachers and policy makers should promote positive environmental changes to preschool-aged children’s family and ECEC environments, as these environments have the potential to improve CVF and GLS more than programs focused on the child alone.
Purpose: To assess the efficacy of Athletes for Life (AFL), a 12-week community-and-family-based behavioral intervention, for improving diet, physical activity (PA), anthropometrics, fitness, and biochemical outcomes among mostly Latino parents.
Methods: Parents with at least one child 6-11 years of age were randomized to active AFL participation (n=14) or a wait-list control (n=14) group. AFL consisted of twice weekly 90 minute sessions (45 minutes of nutrition-focused lessons and 45 minutes of PA participation) designed to promote fruit and vegetable consumption, reduction of sugar intake, and increasing habitual PA. Data were collected prior to and immediately after the 12 week intervention.
Results: Participants (37.9±7.2y) were mostly Latino (93%), Spanish speaking (68%), and women (93%). Relative to participants in the control group, AFL participants had a significant reduction in body fat (-1.1±1.2% vs. 0.2±1.2%; p=0.014), resting (-7.6±10.2 bpm vs. +2.1±6.8 bpm; p<0.01), exercise (-8.4±8.7 bpm vs. +0.4±7.3 bpm; p<0.01), and recovery heart rate (-11.9±12.8 bpm vs. -0.3±11.4 bpm; p=0.01), and one mile run time (-1.5±1.0 min vs. -0.1±0.9 min; p<0.01), and a significant increase in estimated VO2 peak (+1.9±1.9 ml/kg/min vs. 0.0±1.8 ml/kg/min; p=0.01). AFL participants also reported an increase in the number of days/week accumulating 30 minutes of MVPA (+0.8±3.2 vs. -1.5±2.3; p=0.004) and daily servings of fruits (+1.3±1.4 vs. +0.3±1.4; p<0.05) and vegetables (+1.8±1.7 vs. +0.1±1.2; p<0.05), relative to control participants. There were no significant differences between groups in changes in diet assessed by 3-day food record, accelerometer-measured PA, weight, blood pressure, visceral fat, biomarkers for cardiovascular disease or nutritional biomarkers.
Conclusions: Despite the lack of effects on diet and PA behaviors, AFL shows promising preliminary efficacy for reducing body fat and improving fitness among adult participants. Future research aimed at improving fitness among Latino parents with family-based intervention is warranted.
Methods: Parents of children six months to five years old (N = 975) were randomly exposed to one of four high-threat/high-efficacy messages (narrative, statistical, combined, control) and completed a follow-up survey. Differences between message conditions were assessed with one-way ANOVAs, and binary logistic regressions were used to show how constructs predicted intentions.
Results: There were no significant differences in the ANOVA results at p = .05 for EPPM variables or risk EPPM variables. There was a significant difference between message conditions for perceived manipulation (p = 0.026), authority, (p = 0.024), character (p = 0.037), attention (p < .000), and emotion (p < .000). The EPPM model and perceptions of message model (positively), and the risk EPPM model and fear control model (negatively), predicted intentions to vaccinate. Significant predictor variables in each model at p < .05 were severity (aOR = 1.83), response efficacy (aOR = 4.33), risk susceptibility (aOR = 0.53), risk fear (aOR = 0.74), issue derogation (aOR = 0.63), perceived manipulation (aOR = 0.64), character (aOR = 2.00), and personal relevance (aOR = 1.88). In a multivariate model of the significant predictors, only response efficacy significantly predicted intentions to vaccinate (aOR = 3.43). Compared to the control, none of the experimental messages significantly predicted intentions to vaccinate. The narrative and combined conditions significantly predicted intentions to search online (aOR = 2.37), and the combined condition significantly predicted intentions to talk to family/friends (aOR = 2.66).
Conclusions: The EPPM may not be effective in context of a two-way threat. Additional constructs that may be useful in the EPPM model are perceptions of the message and fear control variables. One-shot flu vaccine messages will be unlikely to directly influence vaccination rates; however they may increase information-seeking behavior. The impact of seeking more information on vaccination uptake requires further research. Flu vaccine messages should be presented in combined form. Future studies should focus on strategies to increase perceptions of the effectiveness of the flu vaccine.