Early-Life Socioeconomic Disadvantage and Metabolic Health Disparities

Prevalence of metabolic syndrome among adults treated at a district hospital outpatient department

BACKGROUND

 Metabolic syndrome (MetS) is a collection of risk factors, including hypertension, high fasting blood glucose, high fasting triglyceride and low high-density lipoprotein (HDL) cholesterol levels that may increase the risk for cardiovascular disease and type 2 diabetes. The study aimed to determine the prevalence of MetS among adults attending a Free State district hospital's outpatient department.

METHODS

 A cross-sectional study included a consecutive sample of consenting patients 18 years and older from 18 October 2021 to 19 November 2021. Patients' waist circumference was measured, and data were extracted from patients' files.

RESULTS

 The 409 participants were predominantly females (64.2%). The median age was 60 years. Triglyceride and HDL cholesterol levels were available for 27.4% and 26.9% of patients, respectively. Of the 278 (68.0%) patients with sufficient information to determine their MetS status, 187 (67.3%) had MetS. Of the males with sufficient information, 49.1% (n = 56/114) had MetS compared to 79.9% (n = 131/164) of the females with sufficient information (p  0.001). The age group 60-79 years had the highest prevalence (76.7%, p  0.001). In all race groups, at least two-thirds of patients had MetS (p = 0.831).

CONCLUSION

 Incomplete patient notes and failure to do investigations led to a third of patients not having sufficient information to determine their MetS status. In patients with sufficient information, a high prevalence of MetS was found.Contribution: This study highlights the challenges of determining MetS retrospectively in an outpatient population and the need for completeness of medical note keeping and routine investigations in high-risk patients. It also notes the high prevalence of MetS.

Correlating neighborhood-level deprivation and pediatric metabolic dysfunction-associated steatotic liver disease

OBJECTIVES

The primary objective of this study is to further explore associations between social influencers of health and markers of disease severity at the time of presentation of patients with pediatric metabolic dysfunction-associated steatotic liver disease (MASLD) using neighborhood-level Area Deprivation Index (ADI) scores.

METHODS

A retrospective cross-sectional study was conducted among 344 pediatric MASLD patients. Each patient received an ADI score based on their 9-digit zip code. Groups were defined as low (≤5) and high (6≥) ADI. Associations between ADI and symptomatology and laboratory values at presentation, as well as initial liver biopsy pathology were tested via analyses of covariance, χ2 testing, and logistic regressions.

RESULTS

The mean ADI was 6.54 (standard deviation = 2.09). ADI groups did not significantly differ in age of presentation, type of presentation, or associated conditions, except for the higher ADI group having on average lower vitamin D levels (26.70 vs. 29.91, p = 0.02) and being two times more likely to also be diagnosed with low high-density lipoprotein (HDL) levels (p = 0.04, 95% CI 1.04-3.89). Mean transaminases and histopathologic nonalcoholic fatty liver disease (NAFLD) Activity Scores did not significantly differ between ADI groups.

CONCLUSIONS

Pediatric patients with MASLD in this study span the entire spectrum of neighborhood deprivation. There were no differences in presentation characteristics or severity of MASLD, aside from lower HDL-cholesterol and vitamin D values in the high ADI group. Area deprivation was not predictive of more severe disease as assessed by serum transaminases and liver biopsy NAFLD activity scores.

Metabolic syndrome traits exhibit genotype-by-environment interaction in relation to socioeconomic status in the Mexican American family heart study

Background: Socioeconomic Status (SES) is a potent environmental determinant of health. To our knowledge, no assessment of genotype-environment interaction has been conducted to consider the joint effects of socioeconomic status and genetics on risk for metabolic disease. We analyzed data from the Mexican American Family Studies (MAFS) to evaluate the hypothesis that genotype-by-environment interaction (GxE) is an essential determinant of variation in risk factors for metabolic syndrome (MS). Methods: We employed a maximum likelihood estimation of the decomposition of variance components to detect GxE interaction. After excluding individuals with diabetes and individuals on medication for diabetes, hypertension, or dyslipidemia, we analyzed 12 MS risk factors: fasting glucose (FG), fasting insulin (FI), 2-h glucose (2G), 2-h insulin (2I), body mass index (BMI), waist circumference (WC), leptin (LP), high-density lipoprotein-cholesterol (HDL-C), triglycerides (TG), total serum cholesterol (TSC), systolic blood pressure (SBP), and diastolic blood pressure (DBP). Our SES variable used a combined score of Duncan's socioeconomic index and education years. Heterogeneity in the additive genetic variance across the SES continuum and a departure from unity in the genetic correlation coefficient were taken as evidence of GxE interaction. Hypothesis tests were conducted using standard likelihood ratio tests. Results: We found evidence of GxE for fasting glucose, 2-h glucose, 2-h insulin, BMI, and triglycerides. The genetic effects underlying the insulin/glucose metabolism component of MS are upregulated at the lower end of the SES spectrum. We also determined that the household variance for systolic blood pressure decreased with increasing SES. Conclusion: These results show a significant change in the GxE interaction underlying the major components of MS in response to changes in socioeconomic status. Further mRNA sequencing studies will identify genes and canonical gene pathways to support our molecular-level hypotheses.

Poverty and inequality in real-world schizophrenia: a national study

Background

Schizophrenia has high socioeconomic impact among severe psychiatric disorders.

Aims

To explore clinician-reported and patient-reported inequities between patients under the poverty threshold vs. the others.

Method

916 patients consecutively recruited in 10 national centers received a comprehensive standardized evaluation of illness severity, addictions and patient-reported outcomes.

Results

739 (80.7%) of the patients were classified in the poverty group. This group had poorer objective illness outcomes (lower positive, negative, cognitive, excitement/aggressive and self-neglect symptoms and lifetime history of planned suicide) in multivariate analyses. While they had similar access to treatments and psychotherapy, they had lower access to socially useful activities, couple's life, housing and parenthood. They had also more disturbed metabolic parameters. On the contrary, the poverty group reported better self-esteem. No significant difference for depression, risky health behavior including addictions and sedentary behavior was found.

Interpretation

The equity in access to care is attributed to the French social system. However, mental and physical health remain poorer in these patients, and they still experience poor access to social roles independently of illness severity and despite healthcare interventions. These patients may have paradoxically better self-esteem due to decreased contact with society and therefore lower stigma exposure (especially at work). Schizophrenia presents itself as a distinct impoverished population concerning health-related outcomes and social integration, warranting focus in public health initiatives and improved treatment, including tailored interventions, collaborative care models, accessible mental health services, housing support, vocational training and employment support, community integration, education and awareness, research and data collection, culturally competent approaches, and long-term support.

Exploring disparities and novel insights into metabolic and cardiovascular comorbidities among COVID-19 patients in Mexico

Introduction

The COVID-19 pandemic, especially its early stages, sparked extensive discussions regarding the potential impact of metabolic and cardiovascular comorbidities on the severity and fatality of SARS-CoV-2 infection, yielding inconclusive outcomes. In this study, we delve into the prevalence of metabolic and cardiovascular comorbidities within COVID-19 patients in Mexico.

Methods

Employing a retrospective observational study design, we collected data from official databases encompassing COVID-19 patients admitted to both public and private hospitals in Mexico City.

Results

Our investigation unveiled a noteworthy incongruity in the prevalence of metabolic and cardiovascular comorbidities among COVID-19 patients, with a particular emphasis on obesity, hypertension, and diabetes. This incongruity manifests as location-dependent phenomena, where the prevalence of these comorbidities among COVID-19 patients significantly deviates from the reported values for the general population in each specific location.

Discussion

These findings underscore the critical importance of screening for metabolic and cardiovascular comorbidities in COVID-19 patients and advocate for the necessity of tailored interventions for this specific population. Furthermore, our study offers insights into the intricate interplay between COVID-19 and metabolic and cardiovascular comorbidities, serving as a valuable foundation for future research endeavors and informing clinical practice.

Developmental Trajectory of Body Weight in Youths at Risk for Major Mood Disorders

Importance

Mood disorders are associated with increased body weight, especially in females, but it remains unknown when the weight increase starts.

Objectives

To examine sex-specific weight trajectories associated with familial mood disorder risk and determine the age at which youth at familial risk for mood disorders begin to diverge in weight from controls.

Design, Setting, and Participants

This community-based, single-center, acceleration cohort study of youth at familial risk for mood disorders and controls with yearly follow-ups (mean [SD], 5 [2.1] years) from January 1, 2014, to December 31, 2022, assessed 394 unaffected female and male offspring (aged 3 to 20 years) of parents with or without a mood disorder. Parents with mood (depressive or bipolar) disorders were recruited through adult mental health services. Parents of control participants were matched on age and socioeconomic factors and recruited through acquaintance referrals or schools.

Exposures

The youth in the familial mood risk group had at least 1 parent with a major mood disorder, whereas control youth did not have a parent with a mood disorder.

Main Outcomes and Measures

Body mass indexes (BMIs) were calculated as weight in kilograms divided by height in meters squared from measured weight and height at annual assessments and then converted to age- and sex-adjusted z scores (zBMIs). Repeated-measure regressions examined the association between zBMI and age in youth at familial risk of mood disorders and controls while accounting for sex. Sensitivity analyses accounted for socioeconomic status, prematurity, and birth weight.

Results

Of 394 participants (mean [SD] age, 11.5 [3.6] years; 203 [51.5%] female), youths at familial risk for mood disorders showed overall no difference in body weight (β = 0.12; 95% CI, 0.01-0.24) from controls. A sex-specific difference was detected, with females at familial risk showing a rapid peripubertal increase in body weight, leading to significantly increased zBMIs at 12 years and older compared with controls (β = 0.57; 95% CI, 0.31-0.82) independent of socioeconomic status, prematurity, or birth weight. Males did not differ from controls at any age.

Conclusions and Relevance

In this cohort study, females with a family history of mood disorders were prone to weight gain starting around puberty and predating mood disorder onset. Early interventions aiming to prevent adverse mental and physical outcomes in this vulnerable group need to start in childhood.

Early life adversities and lifelong health outcomes: A review of the literature on large, social, long-lived nonhuman mammals

Social nonhuman animals are powerful models for studying underlying factors related to lifelong health outcomes following early life adversities (ELAs). ELAs can be linked to lifelong health outcomes depending on the species, system, sensitive developmental periods, and biological pathways. This review focuses on the literature surrounding ELAs and lifelong health outcomes in large, social, relatively long-lived nonhuman mammals including nonhuman primates, canids, hyenas, elephants, ungulates, and cetaceans. These mammals, like humans but unlike the most-studied rodent models, have longer life histories, complex social structures, larger brains, and comparable stress and reproductive physiology. Collectively, these features make them compelling models for comparative aging research. We review studies of caregiver, social, and ecological ELAs, often in tandem, in these mammals. We consider experimental and observational studies and what each has contributed to our knowledge of health across the lifespan. We demonstrate the continued and expanded need for comparative research to inform about the social determinants of health and aging in both humans and nonhuman animals.

Association between prenatal socioeconomic disadvantage, adverse birth outcomes, and inflammatory response at birth

Prenatal socioeconomic disadvantage is associated with inflammation in mid- to late-life, yet whether a pro-inflammatory phenotype is present at birth and the role of adverse birth outcomes in this pathway remains unclear. We utilized data on prenatal socioeconomic disadvantage at the individual- (i.e., mother's and father's education level, insurance type, marital status, and Women, Infants, and Children benefit receipt) and census-tract level as well as preterm (< 37 weeks gestation) and small-for-gestational-age (SGA) (i.e., < 10th percentile of sex-specific birth weight for gestational age) birth status, and assessed inflammatory markers (i.e., C-reactive protein, serum amyloid p, haptoglobin, and α-2 macroglobulin) in archived neonatal bloodspots from a Michigan population-based cohort of 1000 neonates. Continuous latent variables measuring individual- and combined individual- and neighborhood-level prenatal socioeconomic disadvantage were constructed and latent profile analysis was used to create a categorical inflammatory response variable (high versus low) based on continuous inflammatory marker levels. Structural equation models were used to estimate the total and direct effect of prenatal socioeconomic disadvantage on the inflammatory response at birth as well as indirect effect via preterm or SGA birth (among term neonates only), adjusting for mother's age, race/ethnicity, body mass index, smoking status, comorbidities, and antibiotic use/infection as well as grandmother's education level. There was a statistically significant total effect of both individual- and combined individual- and neighborhood-level prenatal socioeconomic disadvantage on high inflammatory response among all neonates as well as among term neonates only, and a positive but not statistically significant direct effect in both groups. The indirect effects via preterm and SGA birth were both negative, but not statistically significant. Our findings suggest prenatal socioeconomic disadvantage contributes to elevated neonatal inflammatory response, but via pathways outside of these adverse birth outcomes.

Child poverty and health inequalities in the UK: a guide for paediatricians

One in three children in the UK lives in relative poverty. There are clear and consistent links between child poverty and paediatric morbidity and mortality. In this review, we discuss drivers for family poverty in the UK, and how this leads to poor child health outcomes. We present a framework for healthcare professionals and institutions to consider interventions and strategies relating to socioeconomic health inequalities. We will focus on approaches to mitigate the effects of child poverty on children using our services at a local level and outline the importance of healthcare workers advocating for structural and high-level policy change to address the deep-rooted societal problems that cause child poverty.

Metabolic health disparities driven by financial stress: Behavioural adaptation or modification?

Financial stress has been linked to an increased risk of metabolic syndrome, yet, it remains unclear whether suboptimal sleep duration and physical inactivity are the adaptive responses to financial stress or effect modifiers in the association between financial stress and metabolic syndrome. Hence, this study aims to examine whether physical activity and sleep duration mediate or moderate the bivariate association between financial stress and metabolic syndrome. A prospective secondary analysis was conducted using data from the Wisconsin Sleep Cohort Study (N = 445, mean [SD] age = 64 [7] years). Baseline moderation effect was examined using subgroup analysis with model constraints; prospective mediation model was examined using bias-corrected bootstrap confidence intervals. Results indicate that participants with higher financial stress were less likely to meet physical activity and sleep recommendations. Baseline moderation analysis indicates that meeting current recommendations of sleep duration and physical activity attenuated the association between financial stress and metabolic syndrome. In the prospective mediation analysis, weekly physical activity levels partially mediated the relationship between financial stress and metabolic syndrome, but sleep duration did not mediate this relationship. In conclusion, the joint effect of optimal sleep duration and physical activity disassociates financial stress from the risk of metabolic syndrome. Future interventions addressing metabolic risk might achieve better outcomes if clinicians and researchers factor in the behavioral adaptation of physical inactivity in financially stressed adults (Clinical Trial Registration: NCT00005557).

Sex differences in autonomic responses to stress: implications for cardiometabolic physiology

Chronic stress is a significant risk factor for negative health outcomes. Furthermore, imbalance of autonomic nervous system control leads to dysregulation of physiological responses to stress and contributes to the pathogenesis of cardiometabolic and psychiatric disorders. However, research on autonomic stress responses has historically focused on males, despite evidence that females are disproportionality affected by stress-related disorders. Accordingly, this mini-review focuses on the influence of biological sex on autonomic responses to stress in humans and rodent models. The reviewed literature points to sex differences in the consequences of chronic stress, including cardiovascular and metabolic disease. We also explore basic rodent studies of sex-specific autonomic responses to stress with a focus on sex hormones and hypothalamic-pituitary-adrenal axis regulation of cardiovascular and metabolic physiology. Ultimately, emerging evidence of sex differences in autonomic-endocrine integration highlights the importance of sex-specific studies to understand and treat cardiometabolic dysfunction.

Socioeconomic disadvantage, chronic stress, and proinflammatory phenotype: an integrative data analysis across the lifecourse

Socioeconomic disadvantage confers risk for many chronic illnesses, and theories have highlighted chronic psychological stress and alterations to inflammatory processes as key pathways. Specifically, disadvantage can heighten chronic stress, which may promote a proinflammatory phenotype characterized by immune cells mounting exaggerated cytokine responses to challenge and being less sensitive to inhibitory signals. Importantly, lifecourse perspectives emphasize that such immune alterations should be more potent earlier in life during a sensitive period when bodily tissues are highly plastic to environmental inputs. However, examining these propositions is resource intensive, as they require cell-culturing approaches to model functional inflammatory activities, a wide age range, and longitudinal data. Here, we integrated data from five independent studies to create a diverse sample of 1,607 individuals (960 with longitudinal data; 8 to 64 years old; 359 Asian, 205 Black, and 151 Latino/a). Leveraging the resulting lifecourse data, rich interview assessments of disadvantage and stress, and ex vivo assessments of inflammation, we examined two questions: (1) Does chronic stress account for the link between disadvantage and proinflammatory phenotype? (2) Is there a developmental period during which inflammatory responses are more sensitive to disadvantage and chronic stress? Disadvantage was associated with higher chronic stress, which was linked with a proinflammatory phenotype cross-sectionally, longitudinally, and in terms of prospective change across 1.5 to 2 years. Consistent with the sensitive period hypothesis, the magnitude of these indirect associations was strongest in earlier decades and declined across the lifecourse. These findings highlight the importance of taking a lifecourse perspective in examining health disparities.

Early-life exposure to economic stress and metabolic risks in young adulthood: the children of the reunification in East Germany

BACKGROUND

Research on the long-term health consequences of early-life exposure to economic crises is scarce. We examine for the first time the long-term effects of early-life exposure to an economic crisis on metabolic health risks. We study objective health measures, and exploit the quasi-experimental situation of the postreunification economic crisis in East Germany.

METHODS

Data were drawn from two waves of the longitudinal German Health Interview and Examination Survey for Children and Adolescents (2003-2006, 2014-2017). We compared 392 East Germans who were exposed to the economic crisis in utero and at ages 0-5 with 1123 of their West German counterparts using propensity score matching on individual and family characteristics. We assessed blood pressure, cholesterol, blood fat and body mass index (BMI); both combined as above-average metabolic health risks and individually at ages 19-30.

RESULTS

Early-life exposure to the economic crisis significantly increased the number of above-average metabolic health risks in young adulthood by 0.1482 (95% CI 0.0169 to 0.2796), which was 5.8% higher compared with no exposure. Among individuals exposed in utero, only females showed significant effects. Early-life exposure to the economic crisis was associated with increased systolic (0.9969, 95% CI -0.2806 to 2.2743) and diastolic blood pressure (0.6786, 95% CI -0.0802 to 1.4373), and with increased BMI (0.0245, 95% CI -0.6516 to 0.7001).

CONCLUSION

The increased metabolic health risks found for women exposed to the postreunification economic crisis in-utero are likely attributable to increased economic stress. While the observed differences are small, they may foreshadow the emergence of greater health disparities in older age.

Evaluating the association between socioeconomic position and cardiometabolic risk markers in young adulthood by different life course models

Background

Cardiometabolic health in adulthood is associated with socioeconomic position (SEP) in childhood. Although this has been studied by previous research several questions need to be addressed. E.g. knowledge about the association with timing, extent of the exposure as well as lifestyle and adult SEP, is essential to address the increasing social gradient in cardiometabolic diseases.

Methods

This study included a sub-sample (N = 264, 50% women, age 28–30) from an ongoing cohort study. We used a combination of national registers, longitudinal questionnaire data and clinical data. We examined the association between childhood SEP and cardiometabolic risk, measured by a score of multiple risk markers in young adulthood. SEP-indicators included mother’s educational level and household income. The association was evaluated by four different life course models; the latent effects model, the pathway model, the cumulative model and the social mobility model.

Results

We found an inverse association between mother’s educational level and cardiometabolic risk. The association was statistically significant evaluated by the pathway and cumulative life course models, however statistically insignificant evaluated by the latent effects model. No specific association with social mobility was observed. However, high adult educational level seems to have a protecting impact on the association. No association was found between household income and cardiometabolic risk in any of the applied life course models.

Conclusion

Low childhood SEP, represented by mother’s educational level but not household income, is associated with increased cardiometabolic risk in young adulthood. The accumulation of exposure, lifestyle and adult educational attainment are important for the association. In contrast, intergenerational social mobility does not seem to have a specific impact on the association and we find no evidence for a particular timing in childhood.

Personality traits at age 16 and risk of metabolic syndrome at age 46

OBJECTIVE

To examine whether five-factor model personality traits at age 16 are associated with risk of metabolic syndrome 30 years later at age 46 and whether adolescent personality mediates the association between childhood social class and midlife metabolic health.

METHODS

Participants were from the British Cohort Study 1970, a birth cohort study of participants all born in the same week in 1970. Personality was assessed by participants' mothers (n = 3819) and participants' themselves (n = 2697) at age 16. The five components of the metabolic syndrome were measured at the age 46 assessment: elevated blood pressure, glucose, triglycerides, waist circumference and lower HDL cholesterol.

RESULTS

Mother-rated neuroticism and mother-rated conscientiousness at age 16 were associated with risk of metabolic syndrome at age 46 (OR = 1.19, 95% CI = 1.04, 1.36 and OR = 0.70, 95% CI = 0.62, 0.78, respectively). Self-reported neuroticism was also associated with metabolic syndrome risk (OR = 1.43, 95% CI = 1.08, 1.91). Mother-rated conscientiousness at age 16 accounted for 10% of the association between childhood social class and metabolic health at age 46. None of the other traits were significant mediators.

CONCLUSION

Consistent with lifespan models of personality and health, age 16 personality traits were associated with metabolic health measured 30 years later. Personality traits may also function as a mechanism through which early-life socioeconomic status contributes to midlife health.

Subjective social status and cardiometabolic risk markers in young adults

BACKGROUND

Low subjective social status (SSS), the perceived status in the social hierarchy, is associated with cardiometabolic risk in middle-aged and older adults. However, most studies are cross-sectional and very little is known about the association in adolescence and young adulthood. The aims of this study were; a) to prospectively investigate the association between SSS at ages 15 and 28 and cardiometabolic risk at age 28-30 and b) to examine if such an association was independent of smoking, physical activity and objective measures of social position.

METHODS

The study used questionnaire information at ages 15 and 28 from the West Jutland Cohort Study (N = 3681), health measurements from a sub-sample of the cohort (N = 264, age 28-30, 50% women) and information from population-based national registers. The independent variable was a measure of SSS evaluated by a 10-rung ladder scale and dichotomized at the 25th percentile of data from the cohort study population. The outcome measure was a composite score of cardiometabolic risk including measures of lipids, inflammation, blood pressure and glucose-metabolism. Co-variates included smoking, physical activity, childhood and adulthood socioeconomic position. Sex-stratified linear regression analyses were performed to evaluate the associations between SSS and cardiometabolic risk.

RESULTS

In both sexes, low SSS at age 28, but not at age 15, was significantly associated with increased cardiometabolic risk at age 28-30. Neither smoking, physical activity, childhood or adulthood objective socioeconomic position fully explained the associations.

CONCLUSION

In young adulthood, SSS was inversely related to cardiometabolic risk after accounting for smoking, physical activity and objective measures of socioeconomic position. These findings suggest that SSS could play a role in the social disparities in cardiometabolic risk in addition to traditional measures of socioeconomic position.

Timing, duration, and differential susceptibility to early life adversities and cardiovascular disease risk across the lifespan: Implications for future research

Early life adversities (ELA), include experiences such as child maltreatment, household dysfunction, bullying, exposure to crime, discrimination, bias, and victimization, and are recognized as social determinants of cardiovascular disease (CVD). Strong evidence shows exposure to ELA directly impacts cardiometabolic risk in adulthood and emerging evidence suggests there may be continuity in ELA's prediction of cardiometabolic risk over the life course. Extant research has primarily relied on a cumulative risk framework to evaluate the relationship between ELA and CVD. In this framework, risk is considered a function of the number of risk factors or adversities that an individual was exposed to across developmental periods. The cumulative risk exposure approach treats developmental periods and types of risk as equivalent and interchangeable. Moreover, cumulative risk models do not lend themselves to investigating the chronicity of adverse exposures or consider individual variation in susceptibility, differential contexts, or adaptive resilience processes, which may modify the impact of ELA on CVD risk. To date, however, alternative models have received comparatively little consideration. Overall, this paper will highlight existing gaps and offer recommendations to address these gaps that would extend our knowledge of the relationship between ELA and CVD development. We focus specifically on the roles of: 1) susceptibility and resilience, 2) timing and developmental context; and 3) variation in risk exposure. We propose to expand current conceptual models to incorporate these factors to better guide research that examines ELA and CVD risk across the life course.

Is early life adversity a trigger towards inflammageing?

There are many 'faces' of early life adversity (ELA), such as childhood trauma, institutionalisation, abuse or exposure to environmental toxins. These have been implicated in the onset and severity of a wide range of chronic non-communicable diseases later in life. The later-life disease risk has a well-established immunological component. This raises the question as to whether accelerated immune-ageing mechanistically links early-life adversity to the lifelong health trajectory resulting in either 'poor' or 'healthy' ageing. Here we examine observational and mechanistic studies of ELA and inflammageing, highlighting common and distinct features in these two life stages. Many biological processes appear in common including reduction in telomere length, increased immunosenescence, metabolic distortions and chronic (viral) infections. We propose that ELA shapes the developing immune, endocrine and nervous system in a non-reversible way, creating a distinct phenotype with accelerated immunosenescence and systemic inflammation. We conclude that ELA might act as an accelerator for inflammageing and age-related diseases. Furthermore, we now have the tools and cohorts to be able to dissect the interaction between ELA and later life phenotype. This should, in the near future, allow us to identify the ecological and mechanistic processes that are involved in 'healthy' or accelerated immune-ageing.

The independent and combined influences of small for gestational age and socioeconomic status on newborn metabolite levels

OBJECTIVES

To determine whether socioeconomic status (SES) and small birthweight for gestational age (SGA) exhibit independent or joint effects on infant levels of 42 metabolites.

STUDY DESIGN

Population-based retrospective cohort of metabolic newborn screening information linked to hospital discharge data. SGA infants defined by birthweight <10th percentile for gestational age by sex. SES was determined by a combined metric including education level, participation in the WIC nutritional assistance program, and receiving California MediCal insurance. We performed linear regression to determine the effects of SES independently, SGA independently, and the interaction of SGA and SES on 42 newborn metabolite levels.

RESULTS

736,435 California infants born in 2005-2011 were included in the analysis. SGA was significantly associated with 36 metabolites. SES was significantly associated with 41 of 42 metabolites. Thirty-eight metabolites exhibited a dose-response relationship between SGA and metabolite levels as SES worsened. Fourteen metabolites showed significant interaction between SES and SGA. Eight metabolites showed significant individual and joint effects of SES and SGA: alanine, glycine, free carnitine, C-3DC, C-5DC, C-16:1, C-18:1, and C-18:2.

CONCLUSIONS

SES and SGA exhibited independent effects on a majority of metabolites and joint effects on select metabolites. A better understanding of how SES and SGA status are related to infant metabolites may help identify maternal and newborn interventions that can lead to better outcomes for infants born SGA.

The 'Jekyll and Hyde' of Gluconeogenesis: Early Life Adversity, Later Life Stress, and Metabolic Disturbances

The physiological response to a psychological stressor broadly impacts energy metabolism. Inversely, changes in energy availability affect the physiological response to the stressor in terms of hypothalamus, pituitary adrenal axis (HPA), and sympathetic nervous system activation. Glucocorticoids, the endpoint of the HPA axis, are critical checkpoints in endocrine control of energy homeostasis and have been linked to metabolic diseases including obesity, insulin resistance, and type 2 diabetes. Glucocorticoids, through the glucocorticoid receptor, activate transcription of genes associated with glucose and lipid regulatory pathways and thereby control both physiological and pathophysiological systemic energy homeostasis. Here, we summarize the current knowledge of glucocorticoid functions in energy metabolism and systemic metabolic dysfunction, particularly focusing on glucose and lipid metabolism. There are elements in the external environment that induce lifelong changes in the HPA axis stress response and glucocorticoid levels, and the most prominent are early life adversity, or exposure to traumatic stress. We hypothesise that when the HPA axis is so disturbed after early life adversity, it will fundamentally alter hepatic gluconeogenesis, inducing hyperglycaemia, and hence crystalise the significant lifelong risk of developing either the metabolic syndrome, or type 2 diabetes. This gives a “Jekyll and Hyde” role to gluconeogenesis, providing the necessary energy in situations of acute stress, but driving towards pathophysiological consequences when the HPA axis has been altered.

Race, socioeconomic status, and low-grade inflammatory biomarkers across the lifecourse: A pooled analysis of seven studies

Cardiovascular diseases are patterned by race and socioeconomic status, and chronic low-grade inflammation is proposed as a key underlying mechanism. Theories for how racial and socioeconomic disadvantages foster inflammation emphasize a lifecourse approach: social disadvantages enable chronic or repeated exposure to stressors, unhealthy behaviors, and environmental risks that accumulate across the lifecourse to increase low-grade inflammation. However, single samples rarely include multiple racial and socioeconomic groups that each span a wide age range, precluding examination of this proposition. To address this issue, the current study combined seven studies that measured C-reactive protein and interleukin-6, producing a pooled sample of 1650 individuals aged 11-60 years. We examined (a) whether race and socioeconomic disparities in inflammatory biomarkers vary across the lifecourse, (b) whether adiposity operates as a pathway leading to these disparities, and (c) whether any indirect pathways through adiposity also vary across the lifecourse. Relative to White individuals, Black individuals exhibited higher, whereas Asian individuals exhibited lower, levels of inflammatory biomarkers, and adiposity accounted for these racial differences. Similarly, lower socioeconomic status was associated with higher inflammatory biomarkers via elevated adiposity. Importantly, both racial and socioeconomic disparities, as well as their pathways via adiposity, widened across the lifecourse. This pattern suggests that the impact of social disadvantages compound with age, leading to progressively larger disparities in low-grade inflammation. More broadly, these findings highlight the importance of considering age when examining health disparities and formulating conceptual models that specify how and why disparities may vary across the lifecourse.

Social bonds do not mediate the relationship between early adversity and adult glucocorticoids in wild baboons

In humans and other animals, harsh conditions in early life can have profound effects on adult physiology, including the stress response. This relationship may be mediated by a lack of supportive relationships in adulthood. That is, early life adversity may inhibit the formation of supportive social ties, and weak social support is itself often linked to dysregulated stress responses. Here, we use prospective, longitudinal data from wild baboons in Kenya to test the links between early adversity, adult social bonds, and adult fecal glucocorticoid hormone concentrations (a measure of hypothalamic-pituitary-adrenal [HPA] axis activation and the stress response). Using a causal inference framework, we found that experiencing one or more sources of early adversity led to a 9 to 14% increase in females' glucocorticoid concentrations across adulthood. However, these effects were not mediated by weak social bonds: The direct effects of early adversity on adult glucocorticoid concentrations were 11 times stronger than the effects mediated by social bonds. This pattern occurred, in part, because the effect of social bonds on glucocorticoids was weak compared to the powerful effects of early adversity on glucocorticoid levels in adulthood. Hence, in female baboons, weak social bonds in adulthood are not enough to explain the effects of early adversity on glucocorticoid concentrations. Together, our results support the well-established notions that early adversity and weak social bonds both predict poor adult health. However, the magnitudes of these two effects differ considerably, and they may act independently of one another.

The COVID-19 Pandemic: Does Our Early Life Environment, Life Trajectory and Socioeconomic Status Determine Disease Susceptibility and Severity?

A poor socioeconomic environment and social adversity are fundamental determinants of human life span, well-being and health. Previous influenza pandemics showed that socioeconomic factors may determine both disease detection rates and overall outcomes, and preliminary data from the ongoing coronavirus disease (COVID-19) pandemic suggests that this is still true. Over the past years it has become clear that early-life adversity (ELA) plays a critical role biasing the immune system towards a pro-inflammatory and senescent phenotype many years later. Cytotoxic T-lymphocytes (CTL) appear to be particularly sensitive to the early life social environment. As we understand more about the immune response to SARS-CoV-2 it appears that a functional CTL (CD8+) response is required to clear the infection and COVID-19 severity is increased as the CD8+ response becomes somehow diminished or exhausted. This raises the hypothesis that the ELA-induced pro-inflammatory and senescent phenotype may play a role in determining the clinical course of COVID-19, and the convergence of ELA-induced senescence and COVID-19 induced exhaustion represents the worst-case scenario with the least effective T-cell response. If the correct data is collected, it may be possible to separate the early life elements that have made people particularly vulnerable to COVID-19 many years later. This will, naturally, then help us identify those that are most at risk from developing the severest forms of COVID-19. In order to do this, we need to recognize socioeconomic and early-life factors as genuine medically and clinically relevant data that urgently need to be collected. Finally, many biological samples have been collected in the ongoing studies. The mechanisms linking the early life environment with a defined later-life phenotype are starting to be elucidated, and perhaps hold the key to understanding inequalities and differences in the severity of COVID-19.

Early life socioeconomic circumstances and cardiometabolic health in childhood: Evidence from the Generation XXI cohort

Social adversity is thought to become biologically embedded during sensitive periods of development which could set children on a trajectory of increased risk for later diseases. This study estimated the association between early socioeconomic circumstances and cardiometabolic biomarkers during childhood. We analyzed data from 2962 participants in the birth cohort Generation XXI. Early socioeconomic circumstances included parental education and occupation and household income measured at the child's birth; cardiometabolic biomarkers included a set of parameters that were determined at seven and 10years old. The association between early socioeconomic circumstances and cardiometabolic biomarkers in children aged seven and 10years old was estimated using generalized estimating equations. We observed, after adjustment for birth weight, sex, five-a-day fruit and vegetable intake and sedentary activity, that children with low educated mothers presented higher body mass index z-score (β=0.22; 95%CI: 0.12, 0.33), higher waist circumference (β=1.14; 95%CI: 0.55, 1.73) and increased systolic blood pressure z-score (β=0.15; 95%CI: 0.08, 0.22) at the age of seven. At 10years, children with mothers with low education, presented higher body mass index z-score (β =0.32; 95%CI: 0.21, 0.43), higher waist circumference (β=2.79; 95%CI: 1.94, 3.64), increased diastolic blood pressure z-score (β=0.11; 95%CI: 0.06, 0.17) and increased systolic blood pressure s-score (β=0.20; 95%CI: 0.12, 0.28). When repeated measures of cardiometabolic biomarkers were taken into account, the association between socioeconomic circumstances and cardiometabolic biomarkers remained significant. Low socioeconomic circumstances have a possible detrimental effect on children's cardiometabolic health. Thus, socioeconomic adversity might impact health outcomes already in the first decade of life, emphasizing the early social patterning of cardiometabolic health and the need of social policies targeting children and families to modify or reverse its negative impact on health.

Early-life socioeconomic disadvantage, not current, predicts accelerated epigenetic aging of monocytes

Low socioeconomic status (SES) in early-life and adulthood independently contribute to increased risk for aging-related chronic diseases. One mechanistic hypothesis for these associations involves faster cellular aging of immune cells, which could plausibly contribute to chronic disease pathogenesis by compromising host resistance and/or up-regulating inflammation. However, little is known about the association between life-course SES and cellular aging. The present study examines the association of early-life and current SES with a novel biomarker of cellular aging termed the "epigenetic clock," in monocytes. Additionally, we examine health behaviors and depressive symptoms as potential explanatory pathways. The study involved 335 participants between the ages of 15 and 55 from Vancouver, Canada and surrounding areas. Enrolled participants had to fit into four life-course SES trajectories, corresponding to low-low, low-high, high-low and high-high combinations of early-life (ages 0 to 5) and current SES respectively. Cellular aging of monocytes was measured using Horvath's DNA methylation derived measure of epigenetic age acceleration. Results indicated that socioeconomic disadvantage during early-life, but not later in life, was associated with accelerated epigenetic aging of monocytes. No early-life SES by current SES interaction was detected, suggesting that socioeconomic mobility is unrelated to epigenetic age acceleration. In path analyses, neither current health behaviors nor current depressive symptoms emerged as mediators of the early-life SES effect. These findings suggest socioeconomic disadvantage in early-life is independently predictive of cellular aging of immune cells, with potential implications for aging-related diseases later in life.

Partner relationship satisfaction, partner conflict, and maternal cardio-metabolic health in the year following the birth of a child

Intimate partner relationship quality during the child-bearing years has implications for maternal health. The purpose of this study was to test whether partner satisfaction, partner conflict, and their interaction predicted maternal cardio-metabolic health at 12-months postpartum. Women were recruited in 5 U.S. sites. Partner conflict and satisfaction were measured at 6-months postpartum, and cardio-metabolic indicators (blood pressure, waist-hip ratio, glycosylated hemoglobin, total cholesterol:HDL ratio) were assessed at 6- and 12-months. Cardio-metabolic indices were scored continuously (CM risk) and using clinical risk cutoffs (CM scores). A significant conflict-by-satisfaction interaction emerged for the CM risk, b(SE) = .043 (.016), p = .006, and CM scores, b(SE)= .089 (.028), p = .002, such that when partner satisfaction was low, low partner conflict was associated with poorer postpartum cardio-metabolic health. This is the first study to examine close relationships and cardio-metabolic health during the child-bearing years, an issue warranting further attention.

Integrating Biomarkers in Social Stratification and Health Research

This article provides an overview of the integration of biomarkers and biological mechanisms in social science models of stratification and health. The goal in reviewing this literature is to highlight research that identifies the social forces that drive inequalities over the life course and across generations. The article is structured in the following way. First, descriptive background information on biomarkers is presented, followed secondly by a review of the general theoretical paradigms that lend themselves to an integrative approach. Third, the biomarkers used to capture several biological systems that are most responsive to social conditions are described. Fourth, research that explicates how social exposures "get under the skin" to affect physiological functioning and downstream health is discussed, using socioeconomic disadvantage as an illustrative social exposure. The review ends with emerging directions in the use of biomarkers in social science research. This article endeavors to encourage sociologists to embrace biosocial approaches in order to elevate the importance of social factors in biomedical processes and to intervene on the social conditions that create inequities.

Threat vigilance and socioeconomic disparities in metabolic health

A quarter of the global population meets diagnostic criteria for metabolic syndrome (MetS). MetS prevalence stratifies by socioeconomic status (SES), such that low SES is associated with higher MetS risk starting in childhood. Despite this trend, some low-SES children maintain good metabolic health across the life span, but the factors responsible for their resilience are not well understood. This study examined the role of threat vigilance as either a moderator or a mediator of the effects of low early life SES on adult metabolic risk. Three hundred twenty-five Canadians aged 15-55 participated (M = 36.4 years, SD = 10.7; 55.4% female). We coded parental occupational status between the ages of 0 and 5 to index early life SES. We used the International Diabetes Federation case definition for MetS based on waist circumference, blood pressure, triglyceride levels, HDL cholesterol, and glycosylated hemoglobin measures. Threat vigilance was assessed using the Weapons Identification Procedure, a visual discrimination paradigm that captures implicit perceptions of threat. Analyses supported the moderator hypothesis: low early life SES was associated with MetS diagnosis exclusively among those with high levels of threat vigilance. This suggests that low early life SES environments that heighten vigilance to threat might be particularly detrimental for metabolic health. Conversely, low threat vigilance may buffer against the metabolic risks associated with socioeconomic disadvantage.

Socioeconomic Status and Cardiovascular Responses to Standardized Stressors: A Systematic Review and Meta-Analysis

OBJECTIVE

Disparities in cardiovascular health by socioeconomic status (SES) are a pressing public health concern. Hypothesized mechanisms linking low SES to poor health are large cardiovascular responses to and delayed recovery from psychological stress. The current study presents a meta-analysis of the literature on the association of SES with blood pressure and heart rate reactivity to and recovery from acute stress tasks.

METHODS

The PubMed database was searched, and 26 unique studies with relevant data were identified (k = 25 reactivity [n = 14,617], k = 6 recovery [n = 1,324]).

RESULTS

Using random-effects models, no significant association between SES and cardiovascular reactivity to stress emerged (r = .008, 95% confidence interval = -.02 to .04), although higher SES was associated with better recovery from stress (r = -.14, 95% confidence interval -.23 to -.05). Stressor type moderated the reactivity effect, wherein higher SES was associated with greater reactivity to cognitive stressors (r = .036, p = .024), not with reactivity to interpersonal stressors (r = -.02, p = .62), but was associated with lower reactivity to tasks with combinations of cognitive, interpersonal, and physical challenges (r = -.12, p = .029). Accounting for publication bias revealed a significant association between SES and reactivity in the opposite direction of hypotheses.

CONCLUSIONS

Cardiovascular recovery from acute stress, but not reactivity to stress, may be a key pathway between low SES and risk for cardiovascular diseases. Heterogeneity in effect size and direction, challenges related to working across temporal dynamics, and recommendations for future research are discussed.

Gender differences in the pathways from childhood disadvantage to metabolic syndrome in adulthood: An examination of health lifestyles

We investigate whether socioeconomic status (SES) in childhood shapes adult health lifestyles in domains of physical activity (leisure, work, chores) and diet (servings of healthy [i.e., nutrient-dense] vs. unhealthy [energy-dense] foods). Physical activity and food choices vary by gender and are key factors in the development of metabolic syndrome (MetS). Thus, we examined gender differences in the intervening role of these behaviors in linking early-life SES and MetS in adulthood. We used survey data (n = 1054) from two waves of the Midlife in the U.S. Study (MIDUS 1 and 2) and biomarker data collected at MIDUS 2. Results show that individuals who were disadvantaged in early life are more likely to participate in physical activity related to work or chores, but less likely to participate in leisure-time physical activity, the domain most consistently linked with health benefits. Women from low SES families were exceedingly less likely to complete recommended amounts of physical activity through leisure. Men from low SES consumed more servings of unhealthy foods and fewer servings of healthy foods. The observed associations between childhood SES and health lifestyles in adulthood persist even after controlling for adult SES. For men, lack of leisure-time physical activity and unhealthy food consumption largely explained the association between early-life disadvantage and MetS. For women, leisure-time physical activity partially accounted for the association, with the direct effect of childhood SES remaining significant. Evidence that material deprivation in early life compromises metabolic health in adulthood calls for policy attention to improve economic conditions for disadvantaged families with young children where behavioral pathways (including gender differences therein) may be shaped. The findings also underscore the need to develop gender-specific interventions in adulthood.

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Physical activity and healthy diet have been recommended to prevent/treat metabolic syndrome (MetS).

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Childhood SES is associated with development of MetS via physical activity and diet.

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Gender is key to understanding the behavioral pathways linking childhood SES and MetS.

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Low childhood SES is associated with unhealthy diet for men and insufficient leisure-time activity for both genders.

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Leisure-time activity and unhealthy diet mediate the effect of childhood SES on MetS, particularly for men.