Diagnosing social ills: Theorising social determinants of health as a diagnostic category.

Medicine, as an institution and discipline, has embraced social determinants of health as a key influence on clinical practice and care. Beyond simply acknowledging their importance, most recent versions of the International Classification of Diseases explicitly codify social determinants as a viable diagnostic category. This diagnostic shift is noteworthy in the United States, where 'Z-codes' were introduced to facilitate the documentation of illiteracy, unemployment, poverty and other social factors impacting health. Z-codes hold promise in addressing patients' social needs, but there are likely consequences to medicalising social determinants. In turn, this article provides a critical appraisal of Z-codes, focussing on the role of diagnoses as both constructive and counterproductive sources of legitimacy, knowledge and responsibility in our collective understanding of health. Diagnosis codes for social determinants are powerful bureaucratic tools for framing and responding to psychosocial risks commensurate with biophysiological symptoms; however, they potentially reinforce beliefs about the centrality of individuals for addressing poor health at the population level. I contend that Z-codes demonstrate the limited capacity of diagnoses to capture the complex individual and social aetiology of health, and that sociology benefits from looking further 'upstream' to identify the structural forces constraining the scope and utility of diagnoses.

Elite class self-interest, socioeconomic inequality and U.S. population health.

Class-based perspectives on the persistent social gradients in health within modern welfare states largely focus on the adverse consequences of unfettered neoliberalism and entrenched meritocratic socioeconomic selection. Namely, neoliberal-driven economic inequality has fuelled resentment and stress among lower-status groups, while these groups have become more homogeneous with regard to health behaviours and outcomes. We synthesise several sociological and historical literatures to argue that, in addition to these class-based explanations, socioeconomic inequality may contribute to persistent social gradients in health due to elite class self-interest-in particular elites' preferences for overdiagnosis, overprescription and costly high-technology medical treatments over disease prevention, and for increased tolerance for regulatory capture. We demonstrate that this self-interest provides parsimonious explanations for several contemporary trends in U.S. health inequality including (A) supply-side factors in drug-related deaths, (B) longitudinal trends in the social gradients of obesity and chronic disease mortality and (C) the immigrant health advantage. We conclude that sociological theories of elite class self-interest usefully complement theories of the psychosocial effects of neoliberalism and of meritocratic social selection while answering recent calls for research on the role advantaged groups play in generating inequalities in health, and for research that moves beyond technological determinism in health sociology.

Taking John Schulenberg's "long view" on successful transitions to adulthood: Associations with adult substance use.

Can positive transitions into young adulthood at age 25 prevent problematic substance use at age 31, even in the context of childhood adverse family environments, conduct problems, and adolescent substance use? We lean on John Schulenberg's developmental framework to examine this question, focusing on the potential young adult milestones of high school and college graduation, employment, residential independence, romantic partnership, and parenthood. Data came from a prospective-longitudinal multi-method study with N = 1199 participants who were first assessed at age 5 years old and followed to age 31. An accumulation of positive transitions in young adulthood (age 25) was associated with lower likelihood of age 31 problematic cannabis use. The protective effect for problematic cannabis use remained even when adjusting for childhood adverse family environments and was primarily driven by successful college graduation and/or home ownership. The accumulation of positive transitions protected individuals at modest to somewhat elevated risk due to childhood adverse family environments from experiencing age 31 cannabis use problems. However, for other individuals with very high numbers of conduct problems, or with high levels of adolescent substance use, the protective effects of accumulated positive transitions to young adulthood were less strong or nonexistent. Moreover, individuals who completed college or obtained full-time employment by 25 were more likely to report problematic age 31 alcohol use. These findings highlight the central tenets of John Schulenberg's developmental framework, including the examination of ontogenetic continuity and discontinuity, the interplay of developmentally distal and proximal effects, and the identification of developmental protective factors that may sway people toward or away from substance use.

"Outside the Skin": The Persistence of Black-White Disparities in U.S. Early-Life Mortality.

Research on Black-White disparities in mortality emphasizes the cumulative pathways through which racism gets "under the skin" to affect health. Yet this framing is less applicable in early life, when death is primarily attributable to external causes rather than cumulative, biological processes. We use mortality data from the National Vital Statistics System Multiple Cause of Death files and population counts from the Surveillance, Epidemiology, and End Result Program to analyze 705,801 deaths among Black and White males and females, ages 15-24. We estimate age-standardized death rates and single-decrement life tables to show how all-cause and cause-specific mortality changed from 1990 to 2016 by race and sex. Despite overall declines in early-life mortality, Black-White disparities remain unchanged across several causes-especially homicide, for which mortality is nearly 20 times as high among Black as among White males. Suicide and drug-related deaths are higher among White youth during this period, yet their impact on life expectancy at birth is less than half that of homicide among Black youth. Critically, early-life disparities are driven by preventable causes of death whose impact occurs "outside the skin," reflecting racial differences in social exposures and experiences that prove harmful for both Black and White adolescents and young adults.

Trajectories of Subjective Health: Testing Longitudinal Models for Self-rated Health From Adolescence to Midlife.

Self-rated health (SRH) is ubiquitous in population health research. It is one of the few consistent health measures in longitudinal studies. Yet, extant research offers little guidance on its longitudinal trajectory. The literature on SRH suggests several possibilities, including SRH as (1) a more fixed, longer-term view of past, present, and anticipated health; (2) a spontaneous assessment at the time of the survey; (3) a result of lagged effects from prior responses; (4) a function of life course processes; and (5) a combination of the preceding. Different perspectives suggest different longitudinal models, but evidence is lacking about which model best captures SRH trajectory. Using data from the National Longitudinal Study of Adolescent to Adult Health and the National Longitudinal Survey of Youth, we employ structural equation modeling to correct for measurement error and identify the best-fitting, theoretically guided models describing SRH trajectories. Results support a hybrid model that combines the lagged effect of SRH with the enduring perspectives, fitted with a type of autoregressive latent trajectory (ALT) model. This model structure consistently outperforms other commonly used models and underscores the importance of accounting for lagged effects combined with time-invariant effects in longitudinal studies of SRH. Interestingly, comparisons of this latent, time-invariant autoregressive model across gender and racial/ethnic groups suggest that there are differences in starting points but less variability in SRH trajectories from early life into adulthood.

Body mass index is just a number: Conflating riskiness and unhealthiness in discourse on body size.

Despite the ubiquity of the body mass index (BMI) in discourse on health, there is ambiguity in its use as a biomarker of current abnormality versus future risk. This distinction is consequential for knowledge of the relationship between body size and health, as well as for individuals deemed to have abnormal and 'unhealthy' bodies. Consequently, the purposes of this review are threefold. The first is to differentiate this 'biomarker' perspective from extant critiques of BMI as a proxy for health behaviours or as the defining characteristic of obesity as a disease. The second is to highlight the shift towards treating BMI as a measure of attained unhealthiness, rather than a probabilistic indicator of risk. Finally, rather than call for the abolition of BMI, this paper argues that its continued use as 'just a number' is in keeping with the push for weight neutrality in research and practice. The review concludes by demonstrating how the riskiness and unhealthiness of body size is conflated in public health messaging on COVID-19. BMI is a marker of risk, but its use as a surrogate for COVID-19 severity equates body size with health, shaping beliefs about vulnerability and personal responsibility amid an ongoing pandemic.

Subjective health in adolescence: Comparing the reliability of contemporaneous, retrospective, and proxy reports of overall health.

Self-rated health (SRH) is one of the most important social science measures of health. Yet its measurement properties remain poorly understood. Most studies ignore the measurement error in SRH despite the bias resulting from even random measurement error. Our goal is to estimate the measurement reliability of SRH in contemporaneous, retrospective, and proxy indicators. We use the National Longitudinal Study of Adolescent to Adult Health to estimate the reliability of SRH relative to proxy assessments and respondents' recollections of past health. Even the best indicators - contemporaneous self-reports - have a modest reliability of ~0.6; retrospective and proxy assessments fare much worse, with reliability less than 0.2. Moreover, not correcting for measurement error in SRH leads to a ~20-40% reduction in its correlation with other measures of health. Researchers should be skeptical of analyses that treat these subjective reports as explanatory variables and fail to take account of their substantial measurement error.

Occupation, employment status, and "despair"-associated mortality risk among working-aged U.S. adults, 1997-2015.

The recent rise in U.S. midlife mortality has been conceptualized as a "working-class" crisis, defined by increasing mortality among blue-collar and/or unemployed workers and the decline of manual labor; yet research on the topic overwhelmingly focuses on educational attainment as the key socioeconomic determinant of midlife mortality, especially among "despair"-related deaths. The present study addresses this gap by using data on 360,146 adults ages 25-64 from restricted-use National Health Interview Survey-Linked Mortality Files (1997-2015; average follow-up 9.87 years) to estimate associations between individuals' occupation and employment status and alcoholic liver disease, suicide, or accidental poisoning mortality risk, net of confounders. Adults in service, manual labor, and transport occupations exhibited two-to-three times the risk of mortality from accidental poisonings compared to those in managerial/administrative positions. Notably, health professionals exhibited the highest accidental poisoning mortality risks. Relative to managerial/administrative professionals, adults not in the labor force had double the suicide risk and nearly seven times the accidental poisoning risk, net of confounders. Unemployed adults and those having never worked also had elevated risks from accidental poisoning mortality. Critically, the fact that individuals' occupations and employment status are independently associated with midlife mortality due to deaths of despair - especially accidental poisoning - highlights the need for measures of socioeconomic status beyond educational attainment and income in understanding rising midlife mortality. Moreover, policies addressing working-aged mortality must target particular workplace contexts and the consequences of unemployment, both of which affect a large and growing segment of the working-aged U.S. population.

Educational differences in mortality associated with central obesity: Decomposing the contribution of risk and prevalence.

Thousands of preventable deaths are attributed to obesity in the United States. However, the harmfulness of obesity varies across the population; individuals' education determines access to healthful resources and exposure to competing risks, dampening/amplifying obesity-associated mortality risk. Using restricted U.S. National Health and Nutrition Examination Survey data (N = 40,058; 1988-2015), this study estimates educational differences in mortality attributable to central obesity (waist-to-height ratio ≥0.5) - a dangerous form of abdominal adiposity. Over 30% of excess deaths are attributable to central obesity among college-educated adults, compared to 1-10% among their less-educated counterparts. This difference is larger for cardiometabolic-related mortality, as central obesity may explain 60-70% of excess deaths among college-educated adults. Decomposition analyses show differences are driven by greater obesity-associated risk among college-educated adults, rather than prevalence. Policies targeting health disparities should recognize central obesity as a key risk among highly-educated adults, but only one of many encountered by those with less education.

The persistent southern disadvantage in US early life mortality, 1965-2014.

BACKGROUND: Recent studies of US adult mortality demonstrate a growing disadvantage among southern states. Few studies have examined long-term trends and geographic patterns in US early life (ages 1 to 24) mortality, ages at which key risk factors and causes of death are quite different than among adults. OBJECTIVE: This article examines trends and variations in early life mortality rates across US states and census divisions. We assess whether those variations have changed over a 50-year time period and which causes of death contribute to contemporary geographic disparities. METHODS: We calculate all-cause and cause-specific death rates using death certificate data from the Multiple Cause of Death files, combining public-use files from 1965-2004 and restricted data with state geographic identifiers from 2005-2014. State population (denominator) data come from US decennial censuses or intercensal estimates. RESULTS: Results demonstrate a persistent mortality disadvantage for young people (ages 1 to 24) living in southern states over the last 50 years, particularly those located in the East South Central and West South Central divisions. Motor vehicle accidents and homicide by firearm account for most of the contemporary southern disadvantage in US early life mortality. CONTRIBUTION: Our results illustrate that US children and youth living in the southern United States have long suffered from higher levels of mortality than children and youth living in other parts of the country. Our findings also suggest the contemporary southern disadvantage in US early life mortality could potentially be reduced with state-level policies designed to prevent deaths involving motor vehicles and firearms.

Essential(ist) medicine: promoting social explanations for racial variation in biomedical research.

Biomedical research has a long and complicated history as a tool of oppression, exemplary of the racial science used to legitimise and maintain racial hierarchies in the USA and abroad. While the explicit racism and racial inferiority supported by this research has dissipated and modern methods of inquiry have increased in sophistication and rigor, contemporary biomedical research continues to essentialise race by distilling racial differences and disparities in health to an underlying, biogenetic source. Focusing on the persistence of essentialism in an era of genomic medicine, this paper examines the deep social origins and social implications of the essentialist viewpoint in biomedicine and how it relates to the broader construction of social and scientific knowledge. Invoking Hacking's 'looping effects' as a useful conceptual tool, I then demonstrate how sociohistorical forces influence scientific and medical research in producing evidence that favours and legitimises a biological construction of race. I extend the looping framework to consider a parallel 'louping' process whereby applying a socially rooted meaning to race in biomedical research results becomes magnified to influence social norms and ideas about race. As many biomedical researchers are motivated by a desire to eliminate racial disparities in outcomes, I argue that greater social acuity allows scientists to avoid individualising and racialising health, challenge preconceived assumptions about the meaning of racial variation in health and medicine and thus promote and strengthen a socioenvironmental focus on how to best improve individuals' and population health. Concluding with a call for structural competency in biomedical research, I suggest that empowering scientists to more freely discuss sociostructural factors in their work allows for the continued use of race in biological and medical research, while social scientists and medical humanities scholars stand to benefit from seeing their work imbued with the cultural authority currently granted to biomedicine.

Defining despair: Assessing the multidimensionality of despair and its association with suicidality and substance use in early to middle adulthood.

Despite considerable scientific interest in documenting growing despair among U.S. adults, far less attention has been paid to defining despair and identifying appropriate measures. Emerging perspectives from social science and psychiatry outline a comprehensive, multidimensional view of despair, inclusive of individuals' cognitive, emotional, biological and somatic, and behavioral circumstances. The current study assesses the structure and plausibility of this framework based on longitudinal data spanning early to middle adulthood. We identified 40 measures of different dimensions of despair in Wave IV (2008-2009) of the National Longitudinal Study of Adult to Adolescent Health (n = 9149). We used structural equation modeling to evaluate hypothesized relationships among observed and latent variables; we then regressed Wave V (2016-2018) suicidality, heavy drinking, marijuana use, prescription drug misuse, and illicit drug use on latent despair. Our analyses find that models for separate dimensions of despair and overall despair demonstrated excellent fit. Overall despair was a significant predictor of Wave V outcomes, especially suicidality, accounting for 20% of its variation, as compared to 1%-7% of the variation in substance use. Suicidality was consistently associated with all domains of despair; behavioral despair explained the most variation in substance use. Given these results we contend that, lacking direct measures, latent despair can be modeled using available survey items; however, some items are likely better indicators of latent dimensions of despair than others. Moreover, the association between despair and key health behaviors varies considerably, challenging its status as a mechanism simultaneously underlying increased substance use and suicide mortality in the United States. Critically, further validation of measures in other surveys can improve the operationalization of despair and its associated conceptual and theoretical frameworks, thus advancing our understanding of this concept.

Midlife Health in Britain and the US: A comparison of Two Nationally Representative Cohorts.

Background: Older adults in the United States (US) have worse health and wider socioeconomic inequalities in health compared to Britain. Less is known about how health in the two countries compares in midlife, a time of emerging health decline, including inequalities in health. Methods: We compare measures of smoking status, alcohol consumption, obesity, self-rated health, cholesterol, blood pressure, and glycated haemoglobin using population-weighted modified Poisson regression in the 1970 British Cohort Study (BCS70) in Britain (N= 9,665) and the National Longitudinal Study of Adolescent to Adult Health (Add Health) in the US (N=12,297), when cohort members were aged 34-46 and 33-43, respectively. We test whether associations vary by early- and mid-life socioeconomic position. Findings: US adults had higher levels of obesity, high blood pressure and high cholesterol. Prevalence of poor self-rated health, heavy drinking, and smoking was worse in Britain. We found smaller socioeconomic inequalities in midlife health in Britain compared to the US. For some outcomes (e.g., smoking), the most socioeconomically advantaged group in the US was healthier than the equivalent group in Britain. For other outcomes (hypertension and cholesterol), the most advantaged US group fared equal to or worse than the most disadvantaged groups in Britain. Interpretation: US adults have worse cardiometabolic health than British counterparts, even in early midlife. The smaller socioeconomic inequalities and better overall health in Britain may reflect differences in access to health care, welfare systems, or other environmental risk factors. Funding: ESRC, UKRI, MRC, NIH, European Research Council, Leverhulme Trust.

Not 'putting a name to it': Managing uncertainty in the diagnosis of childhood obesity.

Childhood obesity is a challenging diagnosis. Children's body mass index (BMI) is an imprecise diagnostic of health, leading clinicians' interactions with patients and families to focus on the potential of future harm rather than the presence of infirmity or disease. This is complicated by emphasis on certainty in medical care; clinical diagnoses like childhood obesity are intended to help delineate good and bad health among patients. However, healthiness and wellbeing take on many meanings among individual children and families, especially in relation to weight. To better understand different forms of uncertainty and challenges in providing care, this study draws on 28 semi-structured interviews with U.S. health practitioners working with pediatric patients to examine strategies for communicating risk and defining success in the diagnosis and treatment of childhood obesity. Rather than focusing on patients' current BMIs or making the explicit diagnosis of obesity, clinicians turn to more optimistic prognoses emphasizing the gradual development of beliefs and behaviors that promote long-term physical, mental, and social health. This prognostic framework privileges the doctor-patient relationship over medical guidelines and protocols dictated by diagnoses, encouraging greater consideration of non-clinical factors shaping patients' health and weight. Clinicians expand their diagnostic framework and criteria to include information on the totality of patients' present and future lives, allowing for cognitively, emotionally, and socially attuned understanding of health and weight that is not focused on BMI. Critically, clinicians' awareness of the social etiology childhood obesity heightens their sense of futility about addressing it through clinical interventions, demonstrating the need for a diagnostic and treatment model that empowers doctors to look beyond the more proximate, biophysiological determinants of health.

Social Inequality and the Future of U.S. Life Expectancy.

Despite decades of progress, the future of life expectancy in the United States is uncertain due to widening socioeconomic disparities in mortality, continued disparities in mortality across racial/ethnic groups, and an increase in extrinsic causes of death. These trends prompt us to scrutinize life expectancy in a high-income but enormously unequal society like the United States, where social factors determine who is most able to maximize their biological lifespan. After reviewing evidence for biodemographic perspectives on life expectancy, the uneven diffusion of health-enhancing innovations throughout the population, and the changing nature of threats to population health, we argue that sociology is optimally positioned to lead discourse on the future of life expectancy. Given recent trends, sociologists should emphasize the importance of the social determinants of life expectancy, redirecting research focus away from extending extreme longevity and towards research on social inequality with the goal of improving population health for all.

Debts of despair: Education, financial losses, and precursors of deaths of despair.

Recent deaths of despair literature hypothesizes that financial losses are a key mechanism through which education is associated with higher risk for drug use, alcohol abuse, and suicidal ideation. However, few studies have empirically assessed the significance of this harmful pathway or compared it to other hypothesized explanations. Drawing on data from over 8000 respondents in the National Longitudinal Study of Adolescent to Adult Health, this paper finds that lower education-levels are associated with heightened risk of drug use, painkiller use, frequent binge drinking, and suicidal ideation; in turn, decompositions reveal that financial losses mediate about 20 percent of the association between education with drug use and suicidal ideation. The results support a core assumption of the deaths of despair hypothesis-that financial losses among those with low education-levels drive the increase in harmful despair-associated behaviors, which often precede disease and mortality. Future research should extend this work by linking individual-level socioeconomic and health patterns with broader economic changes to better understand how individuals' educational attainment interacts with macro-level structural factors to shape their vulnerability to despair-associated disease and death.

In BMI We Trust: Reframing the Body Mass Index as a Measure of Health.

Recent work in medical sociology has provided critical insights into distinguishing between obesity as a condition with severe individual- and population-level health consequences, and obesity as a socially undesirable, stigmatizing construct opposing thinness as the healthy ideal. Less often considered is the role of Body Mass Index (BMI) as the standard by which obesity and healthy weight are measured and defined. Addressing this issue, I begin by distinguishing between BMI as an empirical, objective measure of health, and BMI as an arbitrary, subjective label for categorizing the population. I further consider how BMI is empowered as a measurable quantity through the lens of medicalization and evidence-based medicine, and introduce the "performativity" of BMI as a superior framework for confronting the measure's conceptual limitations. Emphasizing key parallels between BMI and self-rated health as measures with high predictive validity, yet unspecified mechanisms of action, I propose an epistemological shift away from classifying BMI as a biomarker and toward a more flexible view of the measure as a holistic appraisal of health. In closing, I argue that researchers may continue to leverage BMI's ease of collection and interpretation, provided they are attuned to its definitional ambiguity across diverse research methods and contexts.