Preventing the Early Introduction of Juice and Sugar-Sweetened Beverages in Infants' Diets: A Randomized Controlled Trial.

A randomized controlled trial was conducted to determine whether a simple educational intervention targeting parents of young infants could have an impact on the consumption of juice and sugar-sweetened beverages (SSBs) in early childhood and decrease overweight and obesity rates. Parents of 2- to 4-month-old infants were randomized into intervention (n = 67) and control (n = 77) groups. Parents completed questionnaires about juice and SSB consumption and knowledge at baseline and 1-year follow-up. Intervention parents received informational handouts and watched videos about the health effects of juice and SSBs. Knowledge about juice increased significantly in the intervention group compared with control (P < .01) and was significantly higher in black/African American parents (P < .05) and those with some college education (P < .05). The intervention had a significant impact on the knowledge gained by parents about the health effects of juice and SSBs but did not decrease the consumption of sugary drinks or change children's weight status.

Diet Quality and the Gut Microbiota in Women Living in Alabama.

INTRODUCTION: The gut microbiota is associated with obesity and modulated by individual dietary components. However, the relationships between diet quality and the gut microbiota and their potential interactions with weight status in diverse populations are not well understood. This study examined the associations between overall diet quality, weight status, and the gut microbiota in a racially balanced sample of adult females. METHODS: Female participants (N=71) residing in Birmingham, Alabama provided demographics, anthropometrics, biospecimens, and dietary data in this observational study from March 2014 to August 2014, and data analysis was conducted from August 2017 to March 2019. Weight status was defined as a BMI (weight [kg]/height [m2]) <30 kg/m2 for non-obese participants and ≥30 kg/m2 for participants who were obese. Dietary data collected included an Automated Self-Administered 24-Hour recall and Healthy Eating Index-2010 (HEI-2010) score. Diet quality was defined as having a high HEI score (≥median) or a low HEI score (

Ventilatory Strategies in Infants with Established Severe Bronchopulmonary Dysplasia: A Multicenter Point Prevalence Study.

We performed a point prevalence study on infants with severe bronchopulmonary dysplasia (BPD), collecting data on type and settings of ventilatory support; 187 infants, 51% of whom were on invasive positive-pressure ventilation (IPPV), from 15 centers were included. We found a significant center-specific variation in ventilator modes.

Comparison of Resident and Faculty Screening for Social Determinants of Health in an Academic Pediatric Primary Care Practice.

BACKGROUND: Social determinants of health (SDH) have an important role in children's health and development and should be investigated in pediatric well child care. METHODS: A retrospective chart review of children aged 5-17 at well visits at an urban academic pediatric primary care practice was performed. Chi-square tests of independence and z-test for proportions were used to assess differences between residents and faculty SDH screening.  Results: Faculty screened for SDH more frequently than residents (P<0.05). Residents screened less frequently for food insecurity (P<0.05) and financial insecurity (P<0.05). Financial insecurity was endorsed less frequently by resident families (P<0.05), while school absence was endorsed more frequently by resident families (P<0.05). Referrals to the clinic's community resource desk did not differ between residents and faculty. CONCLUSIONS: Differences exist in screening and need between clinician groups. Despite these differences, there was no difference in community resource desk referrals.

Diversity of the National Medical Student Body - Four Decades of Inequities.

A racially and ethnically diverse health care workforce remains a distant goal, the attainment of which is contingent on the inclusivity of the national medical student body. We examined the diversity of medical school applicants and enrollees over the past four decades with an eye toward assessing the progress made. Data on the gender and race or ethnic group of enrollees in all medical doctorate degree-granting U.S. medical schools from 1978 through 2019 were examined. The percentage of female enrollees doubled during this period, and women now constitute more than half the national medical student body. This upturn has been attributed largely to an increase by a factor of 12 in the enrollment of Asian women. The corresponding decrease in the percentage of male enrollees, most notably White men, was offset by an increase by a factor of approximately 5 in the enrollment of Asian men. The percentages of enrollees from Black, Hispanic, and other racial and ethnic groups that are underrepresented in medicine remain well below the percentages of these groups in the national Census.

Effects of environmental variability on superspreading transmission events in stochastic epidemic models.

Superspreaders (individuals with a high propensity for disease spread) have played a pivotal role in recent emerging and re-emerging diseases. In disease outbreak studies, host heterogeneity based on demographic (e.g. age, sex, vaccination status) and environmental (e.g. climate, urban/rural residence, clinics) factors are critical for the spread of infectious diseases, such as Ebola and Middle East Respiratory Syndrome (MERS). Transmission rates can vary as demographic and environmental factors are altered naturally or due to modified behaviors in response to the implementation of public health strategies. In this work, we develop stochastic models to explore the effects of demographic and environmental variability on human-to-human disease transmission rates among superspreaders in the case of Ebola and MERS. We show that the addition of environmental variability results in reduced probability of outbreak occurrence, however the severity of outbreaks that do occur increases. These observations have implications for public health strategies that aim to control environmental variables.

Introducing Juice and Sugar-Sweetened Beverages in Early Infancy: Parental Knowledge and Intended Behaviors.

OBJECTIVE: Assess caregivers' knowledge about juice and sugar-sweetened beverages (SSBs) and identify factors that contribute to their early introduction. METHODS: One hundred forty-four parents of young infants completed a 45-item questionnaire focused on infant nutrition. RESULTS: Seventy-two percent of parents plan to give juice to their babies starting in the first year of life; only 16% plan to introduce SSBs. Parents with some college education or more were significantly less likely to report an intention to introduce juice (P < .0001) and SSBs (P < .001) in their children's diets. Education level was significantly associated with knowledge about juice and SSBs (P < .001). Parents with higher knowledge were significantly less likely to plan on introducing juice (P < .001) and SSBs (P < .001). CONCLUSION: Parents of young infants lack enough knowledge about the detrimental effects of juice and sugary drinks. These knowledge gaps give pediatric providers a unique opportunity to provide anticipatory guidance starting in early infancy on the adverse health effects of juice and SSBs.

Variation in microparasite free-living survival and indirect transmission can modulate the intensity of emerging outbreaks.

Variation in free-living microparasite survival can have a meaningful impact on the ecological dynamics of established and emerging infectious diseases. Nevertheless, resolving the importance of indirect and environmental transmission in the ecology of epidemics remains a persistent challenge. It requires accurately measuring the free-living survival of pathogens across reservoirs of various kinds and quantifying the extent to which interaction between hosts and reservoirs generates new infections. These questions are especially salient for emerging pathogens, where sparse and noisy data can obfuscate the relative contribution of different infection routes. In this study, we develop a mechanistic, mathematical model that permits both direct (host-to-host) and indirect (environmental) transmission and then fit this model to empirical data from 17 countries affected by an emerging virus (SARS-CoV-2). From an ecological perspective, our model highlights the potential for environmental transmission to drive complex, nonlinear dynamics during infectious disease outbreaks. Summarizing, we propose that fitting alternative models with indirect transmission to real outbreak data from SARS-CoV-2 can be useful, as it highlights that indirect mechanisms may play an underappreciated role in the dynamics of infectious diseases, with implications for public health.

A lipidome-wide association study of the lipoprotein insulin resistance index.

BACKGROUND: The lipoprotein insulin resistance (LPIR) score was shown to predict insulin resistance (IR) and type 2 diabetes (T2D) in healthy adults. However, the molecular basis underlying the LPIR utility for classification remains unclear. OBJECTIVE: To identify small molecule lipids associated with variation in the LPIR score, a weighted index of lipoproteins measured by nuclear magnetic resonance, in the Genetics of Lipid Lowering Drugs and Diet Network (GOLDN) study (n = 980). METHODS: Linear mixed effects models were used to test the association between the LPIR score and 413 lipid species and their principal component analysis-derived groups. Significant associations were tested for replication with homeostatic model assessment-IR (HOMA-IR), a phenotype correlated with the LPIR score (r = 0.48, p <  0.001), in the Heredity and Phenotype Intervention (HAPI) Heart Study (n = 590). RESULTS: In GOLDN, 319 lipids were associated with the LPIR score (false discovery rate-adjusted p-values ranging from 4.59 × 10- 161 to 49.50 × 10- 3). Factors 1 (triglycerides and diglycerides/storage lipids) and 3 (mixed lipids) were positively (ß = 0.025, p = 4.52 × 10- 71 and ß = 0.021, p = 5.84 × 10- 41, respectively) and factor 2 (phospholipids/non-storage lipids) was inversely (ß = - 0.013, p = 2.28 × 10- 18) associated with the LPIR score. These findings were replicated for HOMA-IR in the HAPI Heart Study (ß = 0.10, p = 1.21 × 10- 02 for storage, ß = - 0.13, p = 3.14 × 10- 04 for non-storage, and ß = 0.19, p = 8.40 × 10- 07 for mixed lipids). CONCLUSIONS: Non-storage lipidomics species show a significant inverse association with the LPIR metabolic dysfunction score and present a promising focus for future therapeutic and prevention studies.

Variation in SARS-CoV-2 free-living survival and environmental transmission can modulate the intensity of emerging outbreaks.

Variation in free-living, microparasite survival can have a meaningful impact on the ecological dynamics of established and emerging infectious diseases. Nevertheless, resolving the importance of environmental transmission in the ecology of epidemics remains a persistent challenge, requires accurate measuring the free-living survival of pathogens across reservoirs of various kinds, and quantifying the extent to which interaction between hosts and reservoirs generates new infections. These questions are especially salient for emerging pathogens, where sparse and noisy data can obfuscate the relative contribution of different infection routes. In this study, we develop a mechanistic, mathematical model that permits both direct (host-to-host) and indirect (environmental) transmission and then fit this model to empirical data from 17 countries affected by an emerging virus (SARS-CoV-2). From an ecological perspective, our model highlights the potential for environmental transmission to drive complex, non-linear dynamics during infectious disease outbreaks. Summarizing, we propose that fitting such models with environmental transmission to real outbreak data from SARS-CoV-2 transmission highlights that variation in environmental transmission is an underappreciated aspect of the ecology of infectious disease, and an incomplete understanding of its role has consequences for public health interventions.