Bodyweight Perceptions among Texas Women: The Effects of Religion, Race/Ethnicity, and Citizenship Status

Despite previous work exploring linkages between religious participation and health, little research has looked at the role of religion in affecting bodyweight perceptions. Using the theoretical model developed by Levin et al. (Sociol Q 36(1):157–173, 1995) on the multidimensionality of religious participation, we develop several hypotheses and test them by using data from the 2004 Survey of Texas Adults. We estimate multinomial logistic regression models to determine the relative risk of women perceiving themselves as overweight. Results indicate that religious attendance lowers risk of women perceiving themselves as very overweight. Citizenship status was an important factor for Latinas, with noncitizens being less likely to see themselves as overweight. We also test interaction effects between religion and race. Religious attendance and prayer have a moderating effect among Latina non-citizens so that among these women, attendance and prayer intensify perceptions of feeling less overweight when compared to their white counterparts. Among African American women, the effect of increased church attendance leads to perceptions of being overweight. Prayer is also a correlate of overweight perceptions but only among African American women. We close with a discussion that highlights key implications from our findings, note study limitations, and several promising avenues for future research

Health and Disease—Emergent States Resulting From Adaptive Social and Biological Network Interactions

Health is an adaptive state unique to each person. This subjective state must be distinguished from the objective state of disease. The experience of health and illness (or poor health) can occur both in the absence and presence of objective disease. Given that the subjective experience of health, as well as the finding of objective disease in the community, follow a Pareto distribution, the following questions arise: What are the processes that allow the emergence of four observable states—(1) subjective health in the absence of objective disease, (2) subjective health in the presence of objective disease, (3) illness in the absence of objective disease, and (4) illness in the presence of objective disease? If we consider each individual as a unique biological system, these four health states must emerge from physiological network structures and personal behaviors. The underlying physiological mechanisms primarily arise from the dynamics of external environmental and internal patho/physiological stimuli, which activate regulatory systems including the hypothalamic-pituitary-adrenal axis and autonomic nervous system. Together with other systems, they enable feedback interactions between all of the person's system domains and impact on his system's entropy. These interactions affect individual behaviors, emotional, and cognitive responses, as well as molecular, cellular, and organ system level functions. This paper explores the hypothesis that health is an emergent state that arises from hierarchical network interactions between a person's external environment and internal physiology. As a result, the concept of health synthesizes available qualitative and quantitative evidence of interdependencies and constraints that indicate its top-down and bottom-up causative mechanisms. Thus, to provide effective care, we must use strategies that combine person-centeredness with the scientific approaches that address the molecular network physiology, which together underpin health and disease. Moreover, we propose that good health can also be promoted by strengthening resilience and self-efficacy at the personal and social level, and via cohesion at the population level. Understanding health as a state that is both individualized and that emerges from multi-scale interdependencies between microlevel physiological mechanisms of health and disease and macrolevel societal domains may provide the basis for a new public discourse for health service and health system redesign

Health Programs in Faith-Based Organizations: Are They Effective?

Objectives. We examined the published literature on health programs in faith-based organizations to determine the effectiveness of these programs. Methods. We conducted a systematic literature review of articles describing faith-based health activities. Articles (n = 386) were screened for eligibility (n = 105), whether a faith-based health program was described (n = 53), and whether program effects were reported (28). Results. Most programs focused on primary prevention (50.9%), general health maintenance (25.5%), cardiovascular health (20.7%), or cancer (18.9%). Significant effects reported included reductions in cholesterol and blood pressure levels, weight, and disease symptoms and increases in the use of mammography and breast self-examination. Conclusions. Faith-based programs can improve health outcomes. Means are needed for increasing the frequency with which such programs are evaluated and the results of these evaluations are disseminated

Quantifying uncertainty in coastal salinity regime for biological application using quantile regression

Abstract Salinity regimes in coastal ecosystems are highly dynamic and driven by complex geomorphic and hydrological processes. Estuarine biota are generally adapted to salinity fluctuation, but are vulnerable to salinity extremes. Characterizing coastal salinity regime for ecological studies therefore requires representing extremes of salinity ranges at time scales relevant to ecology (e.g., daily, monthly, and seasonally). Here, we propose a framework for modeling coastal salinity with these overall goals: (1) quantify uncertainty in salinity associated with important terrestrial and oceanographic drivers, (2) examine time scales of salinity response to river streamflow events, and (3) predict salinity continuously over space at key time scales. Salinity is modeled as quantile surfaces related to river discharge, tidal dynamics, wind, and spatial location, applied to Suwannee Sound estuary, FL, USA, where salinity has been monitored spatially since 1981. Each quantile level is regressed independently, and together they comprise a distribution of salinity uncertainty across space, with upper and lower quantiles describing salinity extremes. Effects of physical drivers on salinity are compared through four base models with various combinations of tide and wind variables, each including spatial coordinates and a single streamflow metric (in cubic meters per second). Multiple time scales of streamflow are considered by taking means across various periods, from 1 to 12 days, and at various lagged intervals prior to salinity sample, totaling 144 streamflow metrics. We found that the Suwannee coastal salinity regime is dynamic at multiple time scales and varies nonlinearly across space from the river effluence outward. Salinity increases nonlinearly with decreasing river flow rates below 200 m3/s, most prominently in the lower quantiles of salinity (τ = 0.05–0.25). Wind appears to have a stronger influence on salinity than astronomic tides for this estuary. The regression approach developed here can be applied to any coastal system that has sufficient spatial and temporal monitoring coverage to capture multiple flood and drought events. It is implemented with a simple R routine, and is less computationally‐intensive than finite difference hydrodynamic modeling. The characterizations of salinity uncertainty developed in these analyses can be directly applied to future studies of fish and wildlife responses to changes in watershed management

Use of coaching and technology to improve blood pressure control in Black women with hypertension: Pilot randomized controlled trial study

Abstract Hypertension is the main cause of cardiovascular disease, especially in women. Black women (58%) are affected by higher rates of hypertension than other racial/ethnic groups contributing to increased cardio‐metabolic disorders. To decrease blood pressure (BP) in this population, a pilot randomized controlled trial was conducted to examine the effects of Interactive Technology Enhanced Coaching (ITEC) versus Interactive Technology (IT) alone in achieving BP control, adherence to antihypertensive medication, and adherence to lifestyle modifications among Black women diagnosed with and receiving medication for their hypertension. Participants completed a 6‐week Chronic Disease Self‐Management Program (CDSMP), and 83 participants were randomly assigned to ITEC versus IT. Participants were trained to use three wireless tools and five apps that were synchronized to smartphones to monitor BP, weight, physical activity (steps), diet (caloric and sodium intake), and medication adherence. Fitbit Plus, a cloud‐based collaborative care platform was used to collect, track, and store data. Using a mixed‐effects repeated measures model, the main effect of group means indicated no significant difference between the treatment and referent groups on study variables. The main effect of time indicated significant differences between repeated measures for systolic BP (p < .0001), weight (p < .0001), and steps (p = .018). An interaction effect revealed differences over time and was significant for study measures except diastolic BP. An important goal of this preliminary analysis is to help Black women prioritize self‐care management in their everyday environment. Future research is warranted in a geographically broader population of hypertensive Black women