Invited Commentary: Toward a Better Understanding of Disparities in Overdose Mortality.

The United States has been in the grip of an epidemic of drug overdose mortality for the past few decades, and deaths from drug overdose increased dramatically during the coronavirus disease 2019 pandemic. Townsend et al. (Am J Epidemiol. 2022;191(4):599-612) add to the growing literature highlighting the steep rise of drug overdose mortality among racial and ethnic minorities in the country. Using data from National Center for Health Statistics death certificates and employing principles of small-area estimation and a Bayesian hierarchical model to stabilize the estimates of smaller racial/ethnic groups and states, the authors found that combinations of opioid/stimulant drug overdose deaths saw a steep increase among racial and ethnic minorities, particularly Black Americans, between 2007 and 2019. The results from their analysis highlight the need to change the narrative around opioid deaths, to invest in targeted policies that address the growing burden of drug overdose faced by racial/ethnic minorities, and the importance of using innovative methods to address limitations to data disaggregation. The paper also demonstrates the importance of a holistic view of the challenges to the health of the American public.

Use of Data to Understand the Social Determinants of Depression in Two Middle-Income Countries: the 3-D Commission.

Depression accounts for a large share of the global disease burden, with an estimated 264 million people globally suffering from depression. Despite being one of the most common kinds of mental health (MH) disorders, much about depression remains unknown. There are limited data about depression, in terms of its occurrence, distribution, and wider social determinants. This work examined the use of novel data sources for assessing the scope and social determinants of depression, with a view to informing the reduction of the global burden of depression.This study focused on new and traditional sources of data on depression and its social determinants in two middle-income countries (LMICs), namely, Brazil and India. We identified data sources using a combination of a targeted PubMed search, Google search, expert consultations, and snowball sampling of the relevant literature published between October 2010 and September 2020. Our search focused on data sources on the following HEALTHY subset of determinants: healthcare (H), education (E), access to healthy choices (A), labor/employment (L), transportation (T), housing (H), and income (Y).Despite the emergence of a variety of data sources, their use in the study of depression and its HEALTHY determinants in India and Brazil are still limited. Survey-based data are still the most widely used source. In instances where new data sources are used, the most commonly used data sources include social media (twitter data in particular), geographic information systems/global positioning systems (GIS/GPS), mobile phone, and satellite imagery. Often, the new data sources are used in conjunction with traditional sources of data. In Brazil, the limited use of new data sources to study depression and its HEALTHY determinants may be linked to (a) the government's outsized role in coordinating healthcare delivery and controlling the data system, thus limiting innovation that may be expected from the private sector; (b) the government routinely collecting data on depression and other MH disorders (and therefore, does not see the need for other data sources); and (c) insufficient prioritization of MH as a whole. In India, the limited use of new data sources to study depression and its HEALTHY determinants could be a function of (a) the lack of appropriate regulation and incentives to encourage data sharing by and within the private sector, (b) absence of purposeful data collection at subnational levels, and (c) inadequate prioritization of MH. There is a continuing gap in the collection and analysis of data on depression, possibly reflecting the limited priority accorded to mental health as a whole. The relatively limited use of data to inform our understanding of the HEALTHY determinants of depression suggests a substantial need for support of independent research using new data sources. Finally, there is a need to revisit the universal health coverage (UHC) frameworks, as these frameworks currently do not include depression and other mental health-related indicators so as to enable tracking of progress (or lack thereof) on such indicators.

Spirituality, Humor, and Resilience After Natural and Technological Disasters.

PURPOSE: Multiple exposures to disaster are associated with high levels of stress and with long-term consequences for survivors. However, little is known about coping and resilience in multiple disaster contexts. In this study, we focused on spiritual and secular coping resources and the roles they may play in postdisaster resilience. METHODS: Participants were noncoastal and coastal residents exposed to the 2005 Hurricanes Katrina and Rita and the 2010 Deepwater Horizon oil spill. Psychosocial predictors of central interest were (a) spiritual support and (b) use of coping through humor, and both were hypothesized to be associated with resilience. Covariates included group, gender, education, income, social engagement, charitable work done for others, and lifetime trauma. FINDINGS: Logistic regression analyses confirmed that spiritual support (odds ratio [OR] = 1.11, p ≤ .01) and use of coping through humor (OR = 1.17, p ≤ .01) were independently and positively associated with resilience. Disruption in charitable work done for others in a typical year before the hurricanes (OR = 0.49, p ≤ .05) and income of less than $2,000 per month were negatively associated with resilience (OR = 0.47, p ≤ .05). CONCLUSIONS: These data show that spirituality, humor, disruptions in charitable work, and low income were all independently associated with resilience in the years after consecutive disasters. CLINICAL RELEVANCE: Experiencing one or more disasters can create chronic psychosocial stress in an individual, which is associated with long-term health effects such as inflammation and weakened immune function. Recognizing which coping resources bolster resilience rather than harm is important for improving quality of life in disaster victims.

Street Audits to Measure Neighborhood Disorder: Virtual or In-Person?

Neighborhood conditions may influence a broad range of health indicators, including obesity, injury, and psychopathology. In particular, neighborhood physical disorder-a measure of urban deterioration-is thought to encourage crime and high-risk behaviors, leading to poor mental and physical health. In studies to assess neighborhood physical disorder, investigators typically rely on time-consuming and expensive in-person systematic neighborhood audits. We compared 2 audit-based measures of neighborhood physical disorder in the city of Detroit, Michigan: One used Google Street View imagery from 2009 and the other used an in-person survey conducted in 2008. Each measure used spatial interpolation to estimate disorder at unobserved locations. In total, the virtual audit required approximately 3% of the time required by the in-person audit. However, the final physical disorder measures were significantly positively correlated at census block centroids (r = 0.52), identified the same regions as highly disordered, and displayed comparable leave-one-out cross-validation accuracy. The measures resulted in very similar convergent validity characteristics (correlation coefficients within 0.03 of each other). The virtual audit-based physical disorder measure could substitute for the in-person one with little to no loss of precision. Virtual audits appear to be a viable and much less expensive alternative to in-person audits for assessing neighborhood conditions.

US Adult Illicit Cannabis Use, Cannabis Use Disorder, and Medical Marijuana Laws: 1991-1992 to 2012-2013.

Importance: Over the last 25 years, illicit cannabis use and cannabis use disorders have increased among US adults, and 28 states have passed medical marijuana laws (MML). Little is known about MML and adult illicit cannabis use or cannabis use disorders considered over time. Objective: To present national data on state MML and degree of change in the prevalence of cannabis use and disorders. Design, Participants, and Setting: Differences in the degree of change between those living in MML states and other states were examined using 3 cross-sectional US adult surveys: the National Longitudinal Alcohol Epidemiologic Survey (NLAES; 1991-1992), the National Epidemiologic Survey on Alcohol and Related Conditions (NESARC; 2001-2002), and the National Epidemiologic Survey on Alcohol and Related Conditions-III (NESARC-III; 2012-2013). Early-MML states passed MML between NLAES and NESARC ("earlier period"). Late-MML states passed MML between NESARC and NESARC-III ("later period"). Main Outcomes and Measures: Past-year illicit cannabis use and DSM-IV cannabis use disorder. Results: Overall, from 1991-1992 to 2012-2013, illicit cannabis use increased significantly more in states that passed MML than in other states (1.4-percentage point more; SE, 0.5; P = .004), as did cannabis use disorders (0.7-percentage point more; SE, 0.3; P = .03). In the earlier period, illicit cannabis use and disorders decreased similarly in non-MML states and in California (where prevalence was much higher to start with). In contrast, in remaining early-MML states, the prevalence of use and disorders increased. Remaining early-MML and non-MML states differed significantly for use (by 2.5 percentage points; SE, 0.9; P = .004) and disorder (1.1 percentage points; SE, 0.5; P = .02). In the later period, illicit use increased by the following percentage points: never-MML states, 3.5 (SE, 0.5); California, 5.3 (SE, 1.0); Colorado, 7.0 (SE, 1.6); other early-MML states, 2.6 (SE, 0.9); and late-MML states, 5.1 (SE, 0.8). Compared with never-MML states, increases in use were significantly greater in late-MML states (1.6-percentage point more; SE, 0.6; P = .01), California (1.8-percentage point more; SE, 0.9; P = .04), and Colorado (3.5-percentage point more; SE, 1.5; P = .03). Increases in cannabis use disorder, which was less prevalent, were smaller but followed similar patterns descriptively, with change greater than never-MML states in California (1.0-percentage point more; SE, 0.5; P = .06) and Colorado (1.6-percentage point more; SE, 0.8; P = .04). Conclusions and Relevance: Medical marijuana laws appear to have contributed to increased prevalence of illicit cannabis use and cannabis use disorders. State-specific policy changes may also have played a role. While medical marijuana may help some, cannabis-related health consequences associated with changes in state marijuana laws should receive consideration by health care professionals and the public.

Association of Spirituality With Mental Health Conditions in Ohio National Guard Soldiers.

Research exploring spirituality in military populations is a relatively new field with limited published reports. This study used the Spiritual Well-Being Scale to examine the association of spiritual well-being with suicidal ideation/behavior, posttraumatic stress disorder (PTSD), and depression and alcohol use disorders in a randomized sample of Ohio Army National Guard soldiers. The participants were 418 soldiers, mostly white and male, with nearly three-quarters indicating that they had been deployed at least once during their careers. Higher spirituality, especially in the existential well-being subscale, was associated with significantly less lifetime PTSD, depression, and alcohol use disorders and with less suicidal ideation over the past year. Future research in this area may benefit from a longitudinal design that can assess spirituality and mental health behaviors in addition to diagnoses at different time points, to begin to explore spirituality in a larger context.

Medical marijuana laws and adolescent marijuana use in the USA from 1991 to 2014: results from annual, repeated cross-sectional surveys.

BACKGROUND: Adolescent use of marijuana is associated with adverse later effects, so the identification of factors underlying adolescent use is of substantial public health importance. The relationship between US state laws that permit marijuana for medical purposes and adolescent marijuana use has been controversial. Such laws could convey a message about marijuana acceptability that increases its use soon after passage, even if implementation is delayed or the law narrowly restricts its use. We used 24 years of national data from the USA to examine the relationship between state medical marijuana laws and adolescent use of marijuana. METHODS: Using a multistage, random-sampling design with replacement, the Monitoring the Future study conducts annual national surveys of 8th, 10th, and 12th-grade students (modal ages 13-14, 15-16, and 17-18 years, respectively), in around 400 schools per year. Students complete self-administered questionnaires that include questions on marijuana use. We analysed data from 1 098 270 adolescents surveyed between 1991 and 2014. The primary outcome of this analysis was any marijuana use in the previous 30 days. We used multilevel regression modelling with adolescents nested within states to examine two questions. The first was whether marijuana use was higher overall in states that ever passed a medical marijuana law up to 2014. The second was whether the risk of marijuana use changed after passage of medical marijuana laws. Control covariates included individual, school, and state-level characteristics. FINDINGS: Marijuana use was more prevalent in states that passed a medical marijuana law any time up to 2014 than in other states (adjusted prevalence 15·87% vs 13·27%; adjusted odds ratio [OR] 1·27, 95% CI 1·07-1·51; p=0·0057). However, the risk of marijuana use in states before passing medical marijuana laws did not differ significantly from the risk after medical marijuana laws were passed (adjusted prevalence 16·25% vs 15·45%; adjusted OR 0·92, 95% CI 0·82-1·04; p=0·185). Results were generally robust across sensitivity analyses, including redefining marijuana use as any use in the previous year or frequency of use, and reanalysing medical marijuana laws for delayed effects or for variation in provisions for dispensaries. INTERPRETATION: Our findings, consistent with previous evidence, suggest that passage of state medical marijuana laws does not increase adolescent use of marijuana. However, overall, adolescent use is higher in states that ever passed such a law than in other states. State-level risk factors other than medical marijuana laws could contribute to both marijuana use and the passage of medical marijuana laws, and such factors warrant investigation. FUNDING: US National Institute on Drug Abuse, Columbia University Mailman School of Public Health, New York State Psychiatric Institute.

Rethinking our public health genetics research paradigm.

Since the sequencing of the human genome, tremendous resources have been dedicated to understanding how genetic determinants may drive the production of disease. Despite some successes, the promise of genetics research in these areas remains largely unrealized. The focus on isolating individual (or clusters of) genes that may be associated with narrowly defined phenotypes in large part explains this discrepancy. In particular, efforts to identify genotypes associated with narrow phenotypes force the field to use study designs that capitalize on homogeneous samples to minimize the potential for competing influences or confounders, which imposes important limitations on understanding the role of genes in human health. We argue that a population health genetics that incorporates genetics into large, multiwave, multilevel cohorts has the best potential to clarify how genes, in combination and with the environment, jointly influence population health.

Dissatisfaction with traditional birth attendants in rural Tanzania.

OBJECTIVE: To assess women's satisfaction with traditional birth attendants (TBAs) in rural Tanzania. METHOD: A population-representative sample of households in Kasulu district was used to collect data on demographics, childbirth history, and perception of TBAs and doctors/nurses from women who had recently had a child and from their partners. RESULTS: Two-thirds of women who gave birth in a health facility reported being very satisfied with the experience, compared with 21.2% of women who delivered at home with TBAs. A sizeable proportion of women felt that TBAs had poor medical skills (23.1%), while only 0.3% of women felt the same about doctors' and nurses' skills. Of women who delivered with a TBA, 16.0% reported that TBAs had poor medical skills whereas 0.5% stated the same for doctors and nurses. CONCLUSION: Although many women delivered at home in this rural study district, women and their partners reported higher confidence in doctors and nurses than in TBAs. Policymakers and program managers should not assume that women prefer TBAs to trained professionals for delivery but should consider system barriers to facility delivery in interventions aimed at reducing maternal mortality.

Equity of skilled birth attendant utilization in developing countries: financing and policy determinants.

OBJECTIVES: Developing countries with higher health care spending have greater overall utilization of maternal health services than do countries with lower spending. However, the rich tend to disproportionately use these services. We assessed whether redistributive government policies in the context of higher levels of health spending were associated with more-equitable use of skilled birth attendants (doctors, nurses, or midwives) between rich and poor. METHODS: We used data from Demographic and Health Surveys of 45 developing countries and disaggregated by wealth quintile. Multivariable regression analyses were used to assess the joint effect of higher health care expenditures, the wealth distribution of women's fifth-grade education (a proxy for redistributive policy environment within the central government) and the overall proportion of women with fifth-grade education (a proxy for female literacy and an indicator of governments' commitment to girls' education). RESULTS: We found that utilization of skilled birth attendants was more equitable when higher health expenditures were accompanied by redistributive education policies. CONCLUSIONS: Higher health care expenditures should be accompanied by redistributive policies to reduce the gap in utilization of skilled birth attendants between poorer and richer women in developing countries.

The urban environment and sexual risk behavior among men who have sex with men.

Increasingly, studies show that characteristics of the urban environment influence a wide variety of health behaviors and disease outcomes, yet few studies have focused on the sexual risk behaviors of men who have sex with men (MSM). This focus is important as many gay men reside in or move to urban areas, and sexual risk behaviors and associated outcomes have increased among some urban MSM in recent years. As interventions aimed at changing individual-level risk behaviors have shown mainly short-term effects, consideration of broader environmental influences is needed. Previous efforts to assess the influence of environmental characteristics on sexual behaviors and related health outcomes among the general population have generally applied three theories as explanatory models: physical disorder, social disorganization and social norms theories. In these models, the intervening mechanisms specified to link environmental characteristics to individual-level outcomes include stress, collective efficacy, and social influence processes, respectively. Whether these models can be empirically supported in generating inferences about the sexual behavior of urban MSM is underdeveloped. Conceptualizing sexual risk among MSM to include social and physical environmental characteristics provides a basis for generating novel and holistic disease prevention and health promotion interventions.