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Postneonatal mortality (PNM), which differs from infant and perinatal mortality, has been observed in the past 25 years with respect to the health outcomes of children. While infant and perinatal mortality have been well-evaluated regarding racial differentials, there are no substantial data on PNM in this perspective. The purpose of this study was to assess whether or not social determinants of health adversely affect racial/ethnic PNM differentials in the USA.

A cross-sectional, nonexperimental epidemiologic study design was used to assess race as an exposure function of PNM using Cohort Linked Birth/Infant Death Data (2013). The outcome variable assessed PNM, while the main independent variables were race, social demographic variables (i.e. sex and age) and social determinants of health (i.e. marital status and maternal education). The chi-square statistic was used to assess the independence of variables by race, while the logistic regression model was used to assess the odds of PNM by race and other confounding variables.

During 2013, there were 4,451 children with PNM experience. The cumulative incidence of PNM was 23.6% (n = 2,795) among white infants, 24.3% (n = 1,298) among Black/African-Americans (AA) and 39.5% (n = 88) were American-Indian infants (AI), while 21.3% (n = 270) were multiracial, χ² (3) = 35.7, p < 0.001. Racial differentials in PNM were observed. Relative to White infants, PNM was two times as likely among AI, odds ratio (OR) 2.11 (95% confidence interval [CI] 1.61, 2.78). After controlling for the confounding variables, the burden of PNM persisted among AI, although slightly marginalized, adjusted odds ratio (aOR) 1.70, (99% CI 1.10, 2.65).

In a representative sample of US children, there were racial disparities in PNM infants who are AI compared to their white counterparts, illustrating excess mortality. These findings suggest the need to allocate social and health resources in transforming health equity in this direction.

The purpose of this paper is to examine the prevalence of obesity/overweight using higher body mass index (BMI), assess racial/ethnic variance in overweight/obese prevalence, and to determine whether or not insurance status explains the variance.

A cross-sectional design was used to assess medical records of children in Nemours Healthcare System during 2011. The authors reviewed the records and extracted information on normal BMI, BMI percent, higher BMI, prevalence of overweight/obese and other variables as well as race and ethnicity. χ2 statistic, Fischer's exact and logistic regression model were used to examine the data.

Overall, the prevalence of higher BMI as overweight/obese was comparable to that of the US pediatric population, 33.4 percent. Compared to Caucasian/white, Asians were less likely to have higher BMI, prevalence odd ratio (POR)=0.79, 95 percent CI=0.70-0.90, but Blacks/African Americans (POR=1.22, 95 percent CI=1.18-1.27) and Some other Race were more likely to have higher BMI, POR=1.61, 95 percent CI=1.92-1.71. After controlling for insurance status, the racial disparities in higher BMI persisted; p<0.0001.

Racial/ethnic disparities exist in childhood higher BMI, which were not removed after controlling for insurance coverage as a surrogate for socioeconomic status. These findings are indicative of assessing sex, religious, dietary patterns, physical activities level, environmental resources, social media resources; and geographic locale as confounders in race/ethnicity and higher BMI association.

Understanding the predisposing factors to obesity/overweight among diverse populations is essential in developing and implementing intervention programs in addressing this epidemic in our nation.

The purpose of this paper is to examine the impact of a retailer-managed ranking system on product reviewers’ well-being and its relationship to customer engagement.

Content analysis of reviewers’ posts, generated over a six-month period following a critical incident involving a change in the reviewer ranking system, informs findings.

Fulfilling needs for social relatedness, competency and autonomy may be critical aspects that underlie reviewer engagement. Findings explain how organic and hierarchical reviewing platform design elements may support or thwart psychological need fulfillment. Reviewers expressed positive well-being when system elements facilitated organic interactions between consumers and reviewers, fulfilling social relatedness and competency needs. Hierarchical design elements elicited mixed well-being sentiments. When reviewers used rank as a feedback mechanism to signal competency development, positive well-being emerged, whereas ranking features perceived as lacking in integrity or reducing one’s autonomy, evoked negative sentiments. A stimulus-organism-response framework, grounded in environmental psychology, provides the basis for the online reviewer engagement model. This study deepens understanding of online customer engagement by illustrating how a ranking system and social elements influence well-being and motive fulfilment, key psychological processes associated with engagement.

Highly engaged reviewers on one community platform inform findings, so results are not representative of all reviewers, but are relevant for conceptual purposes concerning critical incidents.

Findings have implications for the design of recognition platforms created to support customer engagement in online reviewing communities.

Public ranking systems designed to recognize and reward reviewers can enhance as well as degrade consumer well-being within an online service environment.

First empirical work to examine the value of consumer well-being as it relates to engagement within an online reviewing service context.

The purpose of this paper is to contribute to the growing body of research literature on case clearance levels. Through a social artifact framework, the authors seek to understand the role that documentation of key solvability factors in investigative reports plays in shaping case clearance outcomes.

For this study, 166 non-fatal shooting investigative case files were obtained from a local mid-sized urban police department and coded to assess whether investigators identified key solvability characteristics for non-fatal shooting incidents. Using a logistic regression, the authors assessed the extent that investigative characteristics mentioned in case files were associated with the odds that the case was cleared by arrest.

The findings from this study indicate that investigative case files as a data source are exceedingly unreliable. Investigators do not consistently document investigative practices and intelligence. And those that are consistently documented are a part of institutionalized practices that are unique to their corresponding police department.

This study is original in that it uses a social artifact framework to sharpen the focus on the role that the effective documentation of critical evidence plays in leading to arrests in gun violence cases.