Reliability and Validity of a Multidimensional Measure of Subjective Community Well-Being.

An individual's flourishing is sustained by and dependent on their community's well-being. We provide one of the first studies of a measure of communal subjective well-being, focusing on individuals' relationships with their community. Using two samples from the Greater Columbus, Ohio region, we provide evidence of the reliability and validity of the Subjective Community Well-being (SCWB) assessment. The five domains of the SCWB are Good Relationships (α = .92), Proficient Leadership (α = .93), Healthy Practices (α = .92), Satisfying Community (α = .88), and Strong Mission (α = .81). A community-based sample (N = 1,435) and an online sample of Columbus residents (N = 692) were scored on the SCWB and compared across domains. We found evidence that the SCWB scores differentiate between active and less active community members. We discuss the appropriate uses of the SCWB as a measure of well-being and provide recommendations for research that could profitably utilize the SCWB measure to examine community well-being.

Exploration of Diet Quality by Obesity Severity in Association with Gestational Weight Gain and Distal Gut Microbiota in Pregnant African American Women: Opportunities for Intervention.

OBJECTIVE: To conduct an exploratory examination of dietary patterns and quality during pregnancy in African-American women who were class I, II, or III obese, and those women with normal pre-pregnancy body mass index (pBMI), as well to identify dietary factors associated with GWG, and changes in the distal gut microbiome. African American women represent the largest group affected by pre-pregnancy obesity, a risk factor for several adverse birth outcomes. METHODS: This prospective study investigated the association between diet, distal gut microbiome, and GWG among African-American women (n = 21) with obesity (n = 15) compared to women with a normal pre-pregnancy body mass index (pBMI) (n = 6) at two time points, 27-29 and 37-39 weeks gestation. Dietary patterns associated with obesity severity and GWG gain were assessed using Welch's T-test and Mann-Whitney U. The association between the gut microbiome and dietary patterns was assessed using a regression-based kernel association test and the adaptive microbiome-based sum of powered score test. RESULTS: In early pregnancy, dietary intake of Total Fruits and Greens and Beans was significantly different between pBMI and GWG groups; significance was 0.022 and 0.028 respectively. Women with Class II/III obesity and those with GWG above guidelines had Healthy Eating Index (HEI) scores below 50, meeting less than 75% of dietary guidelines, and did not meet recommendations for fruit and vegetable or fiber intake. We found no significant associations between the microbiome composition and diet (HEI Scores). CONCLUSIONS FOR PRACTICE: Overall, the results indicate that women with pBMI obesity are not meeting minimum dietary guidelines for nutrient intakes during pregnancy, specifically fruits, vegetables, and fiber, regardless of GWG. Interventions for African-American women with pre-pregnancy obesity, with a focus on increasing consumption of fruits and vegetables, would be beneficial to control GWG and improve birth outcomes.

Intervention impact on alcohol use, alcohol harms, and a combination of both: A latent class, secondary analysis of results from a randomized controlled trial.

BACKGROUND: Alcohol use and alcohol-related harm (ARH) among adolescents places a substantial burden on health, and public services more generally. To date, attempts to intervene at a universal level have yielded results varying from iatrogenic to null, although some skill-enhancing universal interventions have successfully impacted drinking behaviors. One such intervention is SHAHRP. The present study is a secondary analysis of data from the STAMPP Trial, providing new, and more nuanced findings. METHODS: A total of 13,914 adolescents (41.7% female) participated in this cRCT where schools were randomly assigned to a control or intervention group. Growth mixture modelling was used to identify trajectory classes from baseline through third follow-up (+33 months) of adolescents on heavy episodic drinking (HED) and ARH. Extracted classes were related to school intervention participation using multinomial logistic regression. RESULTS: Five trajectory classes of the HED and ARH composite were identified: Low (62%), Late Onset (16%), Early Onset (13%), Delayed Onset (7%), and Unstable (3%). The intervention was most strongly related to Late Onset (OR = 0.50, 95%CI [0.25, 1.01]) and Delayed Onset (OR = 0.55, 95%CI [0.26, 1.16]), although not statistically significant. With classes constructed with ARH only, the Delayed Onset class was significantly related to the intervention (OR = 0.60, 95%CI [0.43, 0.84]). CONCLUSIONS: These results support those previously reported on the STAMPP Trial and provide a more nuanced insight into the effects of the intervention.

Body image and antiretroviral therapy adherence among people living with HIV: a protocol for a systematic review and meta-analysis.

INTRODUCTION: Adherence to antiretroviral therapy (ART) remains a key challenge to achieving the fast-track goal of ending the HIV epidemic by 2030. To provide a more comprehensive indication of whether interventions designed to promote ART adherence might benefit from targeting body image perceptions, we aim to conduct a systematic review to synthesise existing evidence on the association between body image and ART adherence. METHODS AND ANALYSIS: A systematic review of peer-reviewed observational studies and randomised controlled trials that have investigated the association between body image and adherence to ART will be performed. JSTOR, PsycARTICLES, PsycINFO, PubMed, ScienceDirect and Web of Science databases will be searched from 1 January 2000 to 31 March 2021. Eligible records will consider body image as either an independent variable or a mediator, whereas ART adherence will be assessed as an outcome variable. Study selection will follow the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines and study quality will be assessed using relevant tools developed by the National Institute of Health. If sufficient data are available, a meta-analysis will be conducted. Effect size estimates will be aggregated using a random effects meta-analysis approach. Publication bias and its impact will be evaluated through the use of a funnel plot and the trim-and-fill method. The Grading of Recommendations Assessment, Development and Evaluation approach will be used to report on the overall quality of evidence. ETHICS AND DISSEMINATION: Ethical approval is not required for a systematic review protocol. Findings of the proposed systematic review will be disseminated through conference presentations and publication in a peer-reviewed journal. PROSPERO REGISTRATION NUMBER: CRD42020212597.

Metabolic Health, Obesity, and Cardiovascular Disease: 2015-2016 National Health and Nutrition Examination Survey.

BACKGROUND: The metabolically unhealthy normal weight (MUN) and metabolically healthy obese (MHO) phenotypes are abnormal metabolic states. The purpose of this study was to report the frequency of the strictly defined MHO and MUN phenotypes and the association between metabolic phenotype and 10-year Framingham cardiovascular disease (CVD) risk score using a sample taken from the 2015-2016 National Health and Nutrition Examination Survey. METHODS: A cross-sectional sample of 2,316 participants age 18-79 years with complete metabolic health information were selected from the 2015-2016 dataset and included in the present analysis. Metabolic health was defined as the absence of all metabolic abnormalities as outlined by the National Cholesterol Education Program Adult Treatment Panel III criteria, excluding waist circumference. Obesity was defined as body mass index ≥30 kg/m2 or waist > 88.9 cm for females or > 101.6 cm for males. RESULTS: Frequency of the MHO phenotype was 5.5% and the MUN was 44.3%. After adjustment for all covariates, Framingham CVD risk score was higher in the MUN (b = 1.74,p < 0.001) and metabolically unhealthy obese (b = 3.32,p < 0.001) phenotypes that used BMI to define obesity, and the MHO phenotype had a slight protective effect (b = -2.25,p < 0.001) when waist circumference was used as the measure of obesity. CONCLUSIONS: Metabolically unhealthy phenotypes had higher CVD risk, while the MHO phenotype was not at any greater risk than the metabolically healthy normal weight.

Culturally Relevant Resilience: A Psychometric Meta-Analysis of the Child and Youth Resilience Measure (CYRM).

Measuring key components of resilience is vital for understanding cross-cultural dynamics among youth and the environment. The Child and Youth Resilience Measure (CYRM-28) was developed as a cross-cultural measure of resilience and has been used globally. To examine the cross-cultural utility of the CYRM-28, we conducted a systematic review of the literature reporting on the psychometric properties of the measure. Using data representing six countries (N = 6,232) that were supplied from authors of the studies reviewed, a multilevel confirmatory factor analysis was also conducted to estimate the variability of the measurement properties among communities, ages, and sex. Results indicate that the literature generally did not include reliability and validity information for the instrument. From the multilevel confirmatory factor analysis, the measure was invariant between adolescent age-groups and sexes but not across communities.

An Examination of Sensitivity to Measurement Error in Rasch Residual-based Fit Statistics.

The purpose of this paper is to examine the sensitivity of commonly used Rasch fit measures to different distributions of error in item responses. Using Monte Carlo methods, we generated 10 different measurement error conditions within the Rasch rating scale model or partial credit model, and we recorded the estimates of INFIT MNSQ, OUTFIT MNSQ, and person separation reliability for each error distribution condition. INFIT MNSQ and OUTFIT MNSQ were not sensitive to error distributions when the distribution was the same across items. When the error distribution varies across items, INFIT MNSQ and OUTFIT MNSQ detected items with higher levels of measurement error as potentially misfitting. The Rasch person separation reliability statistic was sensitive to varying levels of measurement error, as expected. Our findings have implications for the use of fit measures in diagnosing model misfit.

Gut microbiome meta-analysis reveals dysbiosis is independent of body mass index in predicting risk of obesity-associated CRC.

OBJECTIVE: Obesity is a risk factor for colorectal cancer (CRC), accounting for more than 14% of CRC incidence. Microbial dysbiosis and chronic inflammation are common characteristics in both obesity and CRC. Human and murine studies, together, demonstrate the significant impact of the microbiome in governing energy metabolism and CRC development; yet, little is understood about the contribution of the microbiome to development of obesity-associated CRC as compared to individuals who are not obese. DESIGN: In this study, we conducted a meta-analysis using five publicly available stool and tissue-based 16S rRNA and whole genome sequencing (WGS) data sets of CRC microbiome studies. High-resolution analysis was employed for 16S rRNA data, which allowed us to achieve species-level information to compare with WGS. RESULTS: Characterisation of the confounders between studies, 16S rRNA variable region and sequencing method did not reveal any significant effect on alpha diversity in CRC prediction. Both 16S rRNA and WGS were equally variable in their ability to predict CRC. Results from diversity analysis confirmed lower diversity in obese individuals without CRC; however, no universal differences were found in diversity between obese and non-obese individuals with CRC. When examining taxonomic differences, the probability of being classified as CRC did not change significantly in obese individuals for all taxa tested. However, random forest classification was able to distinguish CRC and non-CRC stool when body mass index was added to the model. CONCLUSION: Overall, microbial dysbiosis was not a significant factor in explaining the higher risk of colon cancer among individuals with obesity.