Composite Indices of Social Determinants of Health: Overview, Measurement Gaps, and Research Priorities for Health Equity.

The goal of health equity is for all people to have opportunities and resources for optimal health outcomes regardless of their social identities, residence in marginalized communities, and/or experience with oppressive systems. Social determinants of health (SDOH)-the conditions in which we are born, grow, live, work, and age-are inextricably tied to health equity. Advancing health equity thus requires reliable measures of SDOH. In the United States, comprehensive individual-level data on SDOH are difficult to collect, may be inaccurate, and do not capture all dimensions of inequitable outcomes. Individual area-based indicators are widely available, but difficult to use in practice. Numerous area-level composite indices are available to describe SDOH, but there is no consensus on which indices are most appropriate to use. This article presents an analytic taxonomy of currently available SDOH composite indices and compares their components and predictive ability, providing insights into gaps and areas for further research.

Understanding polysubstance use at the daily and event levels: protocol for a mixed-methods qualitative and ecological momentary assessment study in a community-based sample of people who use illicit drugs in Oakland, California, USA.

INTRODUCTION: Polysubstance use is extremely common among people who use illicit opioids in the USA. It is associated with poor substance use treatment outcomes, infectious disease risk and alarming rates of drug overdose. Nearly all extant literature examines polysubstance use over broad time frames, such as 30 days or 6 months. However, both substance use and overdose risk are episodic. To build a stronger understanding of polysubstance use and overdose risk, we need to expand the knowledge base to include daily-level and event-level data that examine how substances are used together, in which combinations and in which contexts. The study described in this protocol will use qualitative and ecological momentary assessment (EMA) methods to examine polysubstance use and overdose risk on a daily and event level. METHODS AND ANALYSIS: This is a mixed-methods observational study with three phases. The first phase is formative, consisting of qualitative interviews with people who use multiple substances (N=20), to inform the development of items for the EMA component. The second phase is EMA data collection with people who use multiple substances (N=120), three times daily for 28 days. The third phase consists of mixed-methods inquiries with a subset of participants (N=20), using participant-level EMA data and qualitative techniques to build a nuanced understanding of the motivations and contexts of polysubstance use in everyday life. Analytical induction methods will be used to interpret qualitative data. Hierarchical linear modelling methods will be used to analyse EMA data. ETHICS AND DISSEMINATION: This research has been reviewed and approved by the Institutional Review Board at RTI International (#MOD00001782 for EMA procedures and #MOD00001241 for qualitative procedures). Participants engage in an informed consent procedure for each component of the study. Data will be managed and shared per the National Institutes of Health extramural data sharing policy.

"Just another thing for me to stress off of": Responses to unintentional fentanyl use in a community-based study of people who use opioids.

The unintentional consumption of fentanyl is a serious health risk for people who use illicit drugs. In an ongoing community-based study regarding polysubstance use among people who use opioids, we found that 17 of 58 (29%) of participants who did not endorse fentanyl use in the past thirty days tested positive for fentanyl during point-of-care urinalysis (UA). This paper describes the reactions and experiences of participants who were informed they had consumed fentanyl unintentionally, as well as how the research team handled the unanticipated occurrence of discordant results. Consistent with other recent studies, we found that people learning of unintentional fentanyl use expressed strong concerns about accidental overdose. It was common for participants to reflect on recent substance use experiences that were atypical and might have involved fentanyl, as well as to examine sources of recent drug purchases. While not all participants were surprised that they had unintentionally consumed fentanyl, all felt that learning their positive results was important due to risk of overdose. Research and medical staff have an opportunity to promote awareness of possible contamination by sharing and discussing UA test results with people who use drugs in non-judgmental manner. In addition to the widely promoted harm reduction strategy of testing drugs with fentanyl test strips, self-administered point-of-care UA, particularly after an unexpected reaction to using a drug, could provide useful information for people buying and using illicit drugs.

"Just another thing for me to stress off of:" Responses to Unintentional Fentanyl Use in a Community-based Study of People who Use Opioids.

The unintentional consumption of fentanyl is a serious health risk for people who use illicit drugs. In an ongoing community-based study regarding polysubstance use among people who use opioids, we found that 17 of 58 (29%) of participants who did not endorse fentanyl use in the past thirty days tested positive for fentanyl during point-of-care urinalysis (UA). This paper describes the reactions and experiences of participants who were informed they had consumed fentanyl unintentionally, as well as how the research team handled the unanticipated occurrence of discordant results. Consistent with other recent studies, we found that people learning of unintentional fentanyl use expressed strong concerns about accidental overdose. It was common for participants to reflect on recent substance use experiences that were atypical and might have involved fentanyl, as well as to examine sources of recent drug purchases. While not all participants were surprised that they had unintentionally consumed fentanyl, all felt that learning their positive results was important due to risk of overdose. Research and medical staff who routinely conduct urinalysis have an opportunity to promote awareness of possible contamination by sharing and discussing UA test results with people who use drugs in non-judgmental manner. In addition to the widely promoted harm reduction strategy of testing drugs with fentanyl test strips, self-administered UA, particularly after an unexpected reaction to using a drug, could provide useful information for people buying and using illicit drugs.

Perceived social status and mental health among young adolescents: Evidence from census data to cellphones.

Adolescents in the United States live amid high levels of concentrated poverty and increasing income inequality. Poverty is robustly linked to adolescents' mental health problems; however, less is known about how perceptions of their social status and exposure to local area income inequality relate to mental health. Participants consisted of a population-representative sample of over 2,100 adolescents (ages 10-16), 395 of whom completed a 14-day ecological momentary assessment (EMA) study. Participants' subjective social status (SSS) was assessed at the start of the EMA, and mental health symptoms were measured both at baseline for the entire sample and daily in the EMA sample. Adolescents' SSS tracked family, school, and neighborhood economic indicators (|r| ranging from .12 to .30), and associations did not differ by age, race, or gender. SSS was independently associated with mental health, with stronger associations among older (ages 14-16) versus younger (ages 10-13) adolescents. Adolescents with lower SSS reported higher psychological distress and inattention problems, as well as more conduct problems, in daily life. Those living in areas with higher income inequality reported significantly lower subjective social status, but this association was explained by family and neighborhood income. Findings illustrate that adolescents' SSS is correlated with both internalizing and externalizing mental health problems, and that by age 14 it becomes a unique predictor of mental health problems. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Concurrent and Subsequent Associations Between Daily Digital Technology Use and High-Risk Adolescents' Mental Health Symptoms.

Adolescents are spending an unprecedented amount of time using digital technologies (especially mobile technologies), and there are concerns that adolescents' constant connectivity is associated with poor mental health, particularly among at-risk adolescents. Participants included 151 adolescents at risk for mental health problems (Mage  = 13.1) who completed a baseline assessment, 30-day ecological momentary assessment, and 18 month follow-up assessment. Results from multilevel regression models showed that daily reports of both time spent using digital technologies and the number of text messages sent were associated with increased same-day attention deficit hyperactivity disorder (ADHD) and conduct disorder (CD) symptoms. Adolescents' reported digital technology usage and text messaging across the ecological momentary assessment (EMA) period was also associated with poorer self-regulation and increases in conduct problem symptoms between the baseline and follow-up assessments.

Violence exposure and adolescents' same-day obesogenic behaviors: New findings and a replication.

OBJECTIVE: To test whether exposure to violence is associated with same-day increases in obesogenic behaviors among young adolescents, including unhealthy food and beverage consumption, poor quality sleep, and lack of physical activity. METHODS: Young at-risk adolescents between 12 and 15 years of age were recruited via telephone screening from low-income neighborhoods. Adolescents and their parents completed in-person assessments, followed by Ecological Momentary Assessment (EMA) delivered to 151 adolescents' mobile phones three times a day for 30 days (4329 person days). Three obesogenic behaviors - unhealthy food consumption, poor sleep quality, and lack of physical activity - and violence exposure were assessed daily. Adolescents' body mass index (BMI) was assessed prior to the EMA and 18 months later. A replication was performed among 395 adolescents from a population-representative sample (with 5276 EMA person days). RESULTS: On days that at-risk adolescents were exposed versus not exposed to violence, they were more likely to consume unhealthy foods and beverages (b = 0.12, p = 0.01), report feeling tired the next morning (OR = 1.58, p < 0.01), and to be active (OR = 1.61, p < 0.01). At-risk adolescents who reported higher consumption of soda and caffeinated beverages during the 30-day EMA were more likely to experience increases in BMI in later adolescence. Findings related to sleep and activity were supported in the population-based replication sample; however, no significant same-day associations were found between violence exposure and unhealthy dietary consumption. CONCLUSIONS: This study provides evidence that exposure to violence is associated with same-day unhealthy dietary consumption among at-risk adolescents and next-day tiredness related to sleep quality among adolescents from both at-risk and normative populations. Findings also point to unhealthy soda consumption during early adolescence as an important predictor of weight gain among at-risk adolescents.

School Context Matters: The Impacts of Concentrated Poverty and Racial Segregation on Childhood Obesity.

BACKGROUND: Schools are important sites for interventions to prevent childhood obesity. This study examines how variables measuring the socioeconomic and racial composition of schools and counties affect the likelihood of obesity among third to fifth grade children. METHODS: Body mass index data were collected from third to fifth grade public school students by teachers from 317 urban and rural North Carolina schools in 38 counties. Multilevel models are used to examine county-, school-, and individual-level effects. RESULTS: Low concentrations of poverty at the school level are associated with lower odds of obesity. Schools in rural counties had significantly higher rates of obesity, net the other variables in the model. Students in minority-segregated schools had higher rates of obesity than those in more racially diverse schools, but the effect was not statistically significant once school-level poverty was controlled. CONCLUSIONS: Place-based inequalities are important determinants of health inequalities. The results of this study show that school-level variables related to poverty are important for understanding and confronting childhood obesity.