Hibiscus sabdariffa Meal Improves Iron Status of Childbearing Age Women and Prevents Stunting in Their Toddlers in Northern Ghana

Globally, iron deficiency (ID) is the most common form of nutritional deficiency, particularly in young children and childbearing age women. ID can lead to stunting and impaired cognitive development in children, as well as adverse maternal health and birth outcomes. In this study, the efficacy of an alternative food-to-food fortification utilizing indigenous iron-rich food sources was investigated in a quasi-experimental study. Childbearing age women (15–49 years, intervention-Kassena Nankana West district: n = 60; control-Builsa North district: n = 60) and their toddlers (6–24 months) consumed Hibiscus sabdariffa leaf meals (HSM, 1.71 mg Fe/100 g meal) three times a week for 12 weeks during the dry/lean season in Northern Ghana. We found that feeding the HSM (1.9 kg/day) improved iron status of women of childbearing age with time (p = 0.011), and protected stunting among toddlers during the dry/lean season (p = 0.024), which is the period with the worst food and nutrition insecurity. Compared with the control group, the number of stunted toddlers declined in the intervention group.

Efficient quantile marginal regression for longitudinal data with dropouts

In many biomedical studies independent variables may affect the conditional distribution of the response differently in the middle as opposed to the upper or lower tail. Quantile regression evaluates diverse covariate effects on the conditional distribution of the response with quantile-specific regression coefficients. In this paper, we develop an empirical likelihood inference procedure for longitudinal data that accommodates both the within-subject correlations and informative dropouts under missing at random mechanisms. We borrow the matrix expansion idea of the quadratic inference function and incorporate the within-subject correlations under an informative working correlation structure. The proposed procedure does not assume the exact knowledge of the true correlation structure nor does it estimate the parameters of the correlation structure. Theoretical results show that the resulting estimator is asymptotically normal and more efficient than one attained under a working independence correlation structure. We expand the proposed approach to account for informative dropouts under missing at random mechanisms. The methodology is illustrated by empirical studies and a real-life example of HIV data analysis.

Rhabdomyolysis induced AKI via the regulation of endoplasmic reticulum stress and oxidative stress in PTECs

Mechanism for the role of ER stress and oxidative stress activation in rhabdomyolysis-associated AKI.

Improvement of turkey breast meat quality and cooked gel functionality using hot-boning, quarter sectioning, crust-freeze-air-chilling and cold-batter-mincing technologies

The effect of rapid carcass chilling on breast meat quality was evaluated using commercial (COMM) and random-bred (RB) turkeys. Immediately after slaughter, 48 turkeys from COMM or RB line were randomly subjected to one of four chilling methods: 1) water-immersion chilling (WIC) of the carcasses at 0°C ice slurry, 2) WIC after temperature abuse (TA) of the carcasses at 40°C for 30 min (TA-WIC), 3) hot-boning, quarter sectioning, and crust-freeze-air-chilling (HB-(1)/4CFAC) of breast fillets at -12°C, and 4) HB-(1)/4CFAC of fillets after TA of carcasses (TA-HB-(1)/4CFAC). The TA increased carcass and fillet temperatures by ∼1.3 and ∼4.1°C, respectively, regardless of turkey line, whereas HB-(1)/4CFAC of fillets required 28 and 33% of carcass chilling time for COMM and RB, respectively. During chilling, COMM breast pH rapidly reduced from 6.04 to 5.82, resulting in a significantly lower pH than RB after chilling (P < 0.05), whereas COMM R-value sharply increased from 1.17 to 1.43, causing no difference from RB (P > 0.05). Significantly higher L* value and cooking yield (P < 0.05) were seen in the samples of TA and WIC than those of no TA and HB-(1)/4CFAC, respectively, with no difference observed between COMM and RB fillets (P > 0.05). Higher values of hardness, gumminess, and chewiness were found for RB, no TA, and HB-(1)/4CFAC gels than COMM, TA, and WIC, respectively. These results generally indicated that protein quality and textural properties of turkey fillets were improved, regardless of strains or temperature abuse, using HB-(1)/4CFAC technology.

Bayesian Tobit quantile regression model for medical expenditure panel survey data

High expenditure on healthcare is an important segment of the U.S. economy, making healthcare cost modelling valuable in decision-making processes over a wide array of domains. In this paper, we analyze medical expenditure panel survey (MEPS) data. Tobit regression model has been popularly used for the medical expenditures. However, it is no longer sufficient for the MEPS data because: (i) the distribution of the expenditures shows skewness, heavy tails and heterogeneity; (ii) most predictors are categorical, including binary, nominal and ordinal variables; (iii) there are a few predictors which may be nonlinearly related to the response. We therefore propose a Bayesian Tobit quantile regression model to describe a complete distributional view on how the medical expenditures depend on the various predictors. Specifically, we assume an asymmetric Laplace error distribution to adapt the quantile regression to a Bayesian setting. Then, we propose a modified group Lasso for categorical factor selection, and a smoothing Gaussian prior for modelling the nonlinear effects. The estimates and their uncertainties are obtained using an efficient Monte Carlo Markov Chain sampling method. The effectiveness of our approach is demonstrated by modelling 2007 MEPS data.

An examination of pathways from childhood maltreatment to adolescent binge drinking

Considerable clinical and empirical evidence has accumulated over the past decades indicating that there is a strong association between childhood maltreatment and heavy episodic drinking in adolescence, but there is a paucity of empirically based knowledge about the processes linking the association. The aim of this paper is to examine mechanisms that might account for the association between childhood maltreatment and heavy episodic drinking in adolescence. Using a nationally representative sample of adolescents (ages ranging 12-21; N = 6,337), this study examined the role of individual self-regulatory processes in the associations, controlling for age, gender, race/ethnicity, peer substance use, parental alcoholism, and parent-child conflict. Factor analyses were used to test the measurement structure of self-regulatory processes. Findings confirmed the association between childhood maltreatment and heavy episodic drinking in adolescence. Structural modeling analyses indicated indirect effects for childhood maltreatment primarily through poor self-regulatory processes and peer substance use. Implications for future research are discussed.

Personality and alcohol use: the role of impulsivity

Research has shown that personality traits associated with impulsivity influence alcohol use during emerging adulthood, yet relatively few studies have examined how distinct facets of impulsivity are associated with alcohol use and abuse. We examine the influence of impulsivity traits on four patterns of alcohol use including frequency of alcohol use, alcohol-related problems, binge drinking, and alcohol use disorders (AUDs) in a community sample of young individuals (N=190). In multivariate regression analyses that controlled for peer and parental alcohol use, psychological distress, and developmental correlates (i.e., college, marriage, employment) in emerging adulthood, we found that urgency and sensation seeking were consistently related to all four constructs of alcohol use. The present study suggests that distinct impulsivity traits may play different roles in escalation of alcohol use and development of AUDs during emerging adulthood.

Childhood sexual abuse and adolescent substance use: a latent class analysis

Children who have exposure to child sexual abuse (CSA) are at particular risk for developing substance abuse in adolescence, but the extent to which CSA may shape patterns of adolescent substance use remains uncertain. The aim of this paper is to characterize the variations in patterns of adolescent substance use and to examine the association between CSA and qualitatively distinct patterns of adolescent substance use. Latent class analyses identified homogenous groups of adolescents with similar patterns of substance use using a sample of 1019 adolescents (mean age: 15.9 years; range: 13-18) who were selected from five publicly funded service systems. Different patterns of latent class structures were identified in boys and girls (a 4-class solution for girls and a 3-class solution for boys). CSA was associated with an increased risk of being a heavy polysubstance user in girls, even after adjustment of age, race/ethnicity, parental substance use, sibling use, peer use, psychopathology and other forms of childhood maltreatment including physical abuse and neglect. Findings indicate that female victims of CSA who are involved with public service systems are at high risk for developing multiple-substance use in adolescence.