ABSTRACT
Intracranial volume (ICV) reflects maximal brain development and is associated with later-life cognitive abilities. We quantified ICV among first- and second-generation Hispanic and Latino adults from the Study of Latinos-Investigation of Cognitive Aging - MRI (SOL-INCA-MRI), estimated ICV heritability, and tested its associations with previously reported genetic variants, both individually and as a genetic risk score (GRS). We also estimated the association of ICV with early life environmental measures: nativity or age of immigration and parental education. The estimated heritability of ICV was 19% (95% CI, 0.1%-56%) in n=1781 unrelated SOL-INCA-MRI individuals. Four of 10 tested genetic variants were associated with ICV and an increase of 1 SD of the ICV-GRS was associated with an increase of 10.37 cm3 in the ICV (95% CI, 5.29-15.45). Compared to being born in the continental United States, immigrating to the United States at age 11 years or older was associated with 24 cm3 smaller ICV (95% CI, -39.97 to -8.06). Compared to both parents having less than high-school education, at least 1 parent completing high-school education was associated with 15.4 cm3 greater ICV (95% CI, 4.46-26.39). These data confirm the importance of early life health on brain development.
Subject(s)
Brain , Hispanic or Latino , Magnetic Resonance Imaging , Humans , Female , Male , Brain/diagnostic imaging , Adult , Middle Aged , United States , Organ Size , Aged , ChildABSTRACT
Background: The role of neighborhood factors in the association between adverse childhood experiences (ACEs) and body mass index (BMI) has not been widely studied. A neighborhood ACEs index (NAI) captures neighborhood environment factors associated with ACE exposure. This study examined associations between BMI and an NAI among New York City (NYC) youth. An exploratory objective examined the NAI geographic distribution across NYC neighborhoods. Methods: Data for students attending NYC public general education schools in kindergarten-12th grade from 2006-2017 (n = 1,753,867) were linked to 25 geospatial datasets capturing neighborhood characteristics for every census tract in NYC. Multivariable hierarchical linear regression tested associations between BMI and the NAI; analyses also were conducted by young (<8 years), school age (8-12 years), and adolescent (>12 years) subgroups. In addition, NAI was mapped by census tract, and local Moran's I identified clusters of high and low NAI neighborhoods. Results: Higher BMI was associated with higher NAI across all sex and age groups, with largest magnitude of associations for girls (medium NAI vs. low NAI: unstandardized ß = 0.112 (SE 0.008), standardized ß [effect size]=0.097, p < 0.001; high NAI vs. low NAI: unstandardized ß = 0.195 (SE 0.008), standardized ß = 0.178, p < 0.001) and adolescents (medium NAI vs. low NAI: unstandardized ß = 0.189 (SE 0.014), standardized ß = 0.161, p < 0.001, high NAI vs. low NAI: unstandardized ß = 0.364 (SE 0.015), standardized ß = 0.334, p < 0.001 for adolescent girls; medium NAI vs. low NAI: unstandardized ß = 0.122 (SE 0.014), standardized ß = 0.095, p < 0.001, high NAI vs. low NAI: unstandardized ß = 0.217 (SE 0.015), standardized ß = 0.187, p < 0.001 for adolescent boys). Each borough of NYC included clusters of neighborhoods with higher and lower NAI exposure, although clusters varied in size and patterns of geographic dispersion across boroughs. Conclusions: A spatial index capturing neighborhood environment factors associated with ACE exposure is associated with higher BMI among NYC youth. Findings complement prior literature about relationships between neighborhood environment and obesity risk, existing research documenting ACE-obesity associations, and the potential for neighborhood factors to be a source of adversity. Collectively, evidence suggests that trauma-informed place-based obesity reduction efforts merit further exploration as potential means to interrupt ACE-obesity associations.
ABSTRACT
PURPOSE: To explore whether school poverty level and funding modified the effectiveness of an evidence-based Comprehensive School Physical Activity Program called Health Empowers You! implemented in elementary schools in Georgia. DESIGN: Secondary data analysis of a multi-level, cluster-randomized controlled trial. SETTING: 40 elementary schools in Georgia in 2018-2019. SUBJECTS: 4th grade students in Georgia. MEASURES: Intervention schools implemented the Health Empowers You! program to increase school-day physical activity. The outcome was average daily moderate-to-vigorous physical activity, school free-reduced price lunch (FRPL) percentage and per pupil expenditures were effect modifiers. ANALYSIS: Separate linear mixed regression models estimated the effect of the intervention on average daily moderate-to-vigorous physical activity, with interaction terms between intervention status and (1) school FRPL percentage or (2) per pupil expenditures. RESULTS: The effect of the intervention was significantly higher in schools with higher FRPL percentage (intervention*school % FRPL ß (95% CI): .06 (.01, .12)), and was modestly, but not statistically significantly, higher in schools with lower per pupil expenditures. CONCLUSION: Findings support the use of the Health Empowers You! intervention, which was effective in lower income schools, and may potentially reduce disparities in students' physical activity levels.
ABSTRACT
Prior studies showed increased age acceleration (AgeAccel) is associated with worse cognitive function among old adults. We examine the associations of childhood, adolescence and midlife cognition with AgeAccel based on DNA methylation (DNAm) in midlife. Data are from 359 participants who had cognition measured in childhood and adolescence in the Child Health and Development study, and had cognition, blood based DNAm measured during midlife in the Disparities study. Childhood cognition was measured by Raven's Progressive Matrices and Peabody Picture Vocabulary Test (PPVT). Adolescent cognition was measured only by PPVT. Midlife cognition included Wechsler Test of Adult Reading (WTAR), Verbal Fluency (VF), Digit Symbol (DS). AgeAccel measures including Horvath, Hannum, PhenoAge, GrimAge and DunedinPACE were calculated from DNAm. Linear regressions adjusted for potential confounders were utilized to examine the association between each cognitive measure in relation to each AgeAccel. There are no significant associations between childhood cognition and midlife AgeAccel. A 1-unit increase in adolescent PPVT, which measures crystalized intelligence, is associated with 0.048-year decrease of aging measured by GrimAge and this association is attenuated after adjustment for adult socioeconomic status. Midlife crystalized intelligence measure WTAR is negatively associated with PhenoAge and DunedinPACE, and midlife fluid intelligence measure (DS) is negatively associated with GrimAge, PhenoAge and DunedinPACE. AgeAccel is not associated with VF in midlife. In conclusion, our study showed the potential role of cognitive functions at younger ages in the process of biological aging. We also showed a potential relationship of both crystalized and fluid intelligence with aging acceleration.
Subject(s)
Cognition , DNA Methylation , Humans , Female , Male , Adolescent , Middle Aged , Cognition/physiology , Child , Aging/genetics , Adult , Intelligence/genetics , Cognitive AgingABSTRACT
OBJECTIVES: Adverse childhood experiences (ACEs) have been linked to adulthood chronic diseases, but there is little research examining the mechanisms underlying this association. We tested pathways from ACEs to adult disease mediated via risk factors of depression, smoking, and body mass index. METHOD: Prospective data from adults 18 to 74 years old from the Hispanic Community Health Study/Study of Latinos and Sociocultural Ancillary Study were used. Retrospectively reported ACEs and hypothesized mediators were measured at Visit 1 (2008-2011). Outcomes of disease prevalence were assessed at Visit 2, approximately 6 years later. The analytic sample includes 5,230 Hispanic/Latino participants with ACE data. Statistical mediation was examined using structural equation modeling on cardiometabolic and pulmonary disease prevalence and reported probit regression coefficients with 95% confidence intervals (CIs). RESULTS: We found a significant association between ACEs and the prevalence of asthma/chronic obstructive pulmonary disorder (standardized ß = .07, 95% CI [0.02, 0.12]). In the mediational model, the direct association was nonsignificant (ß = .02, 95% CI [-0.04, 0.07]) but was mediated by depressive symptoms (ß = .03, 95% CI [0.02, 0.04]). There were no associations between ACEs and the prevalence of diabetes and self-reported coronary heart disease or cerebrovascular disease. However, a small indirect effect was identified via depressive symptoms and coronary heart disease (ß = .02, 95% CI [0.01, 0.03]). CONCLUSION: In this diverse Hispanic/Latino sample, depressive symptoms were found to be a pathway linking ACEs to self-reported cardiopulmonary diseases, although the effects were of small magnitude. Future work should replicate pathways, confirm the magnitude of effects, and examine cultural moderators that may dampen expected associations. (PsycInfo Database Record (c) 2024 APA, all rights reserved).
Subject(s)
Adverse Childhood Experiences , Hispanic or Latino , Humans , Male , Hispanic or Latino/psychology , Hispanic or Latino/statistics & numerical data , Female , Middle Aged , Adult , Adverse Childhood Experiences/statistics & numerical data , Aged , Adolescent , Young Adult , Prospective Studies , Asthma/ethnology , Asthma/epidemiology , Asthma/psychology , Depression/ethnology , Depression/epidemiology , Depression/psychology , Prevalence , Risk Factors , Chronic Disease , Pulmonary Disease, Chronic Obstructive/ethnology , Pulmonary Disease, Chronic Obstructive/epidemiology , Smoking/epidemiology , Smoking/ethnology , United States/epidemiology , Body Mass IndexABSTRACT
CONTEXT: The long-term effect of gender-affirming hormone therapy (GAHT) on glucose metabolism is an area of priority in transgender health research. OBJECTIVES: To evaluate the relation between GAHT and changes in fasting blood glucose (FG) and glycosylated hemoglobin (HbA1c) in transmasculine (TM) and transfeminine (TF) persons relative to the corresponding temporal changes in presumably cisgender persons (i.e. without any evidence of TGD status). DESIGN: Retrospective cohort study. SETTING: Three large integrated health systems. PARTICIPANTS: 2,425 TF and 2,127 TM persons compared with 33,995 cisgender males (CM) and 38,913 cisgender females (CF) enrolled in the same health plans. OUTCOMES/MEASURES: Temporal changes in FG and HbA1c levels examined using linear mixed models with main results expressed as ratios-of-ratios. RESULTS: The pre- versus post-GAHT ratios-of-ratio (95% confidence interval) estimates adjusted for age, race/ethnicity, study site, and body mass index in the model comparing TF and CM groups were 1.05 (1.01, 1.09) for FG and 1.03 (0.99, 1.06) for HbA1c. By contrast, the corresponding results in the models contrasting TM and cisgender cohort members were in the 0.99-1.00 range. The ratio-of-ratios comparing post-GAHT changes among transgender and cisgender persons were close to the null and without a discernable pattern. CONCLUSION: Though the within-transgender cohort data suggest an increase in the levels of FG and HbA1c following feminizing GAHT initiation, these changes were no longer evident when compared with the corresponding changes in cisgender referents. Based on these results, clinically important effects of GAHT on routine laboratory markers of glucose metabolism appear unlikely.
ABSTRACT
BACKGROUND: Prenatal indoor air pollution and maternal psychosocial factors have been associated with adverse psychopathology. We used environmental exposure mixture methodology to investigate joint effects of both exposure classes on child behavior trajectories. METHODS: For 360 children from the South African Drakenstein Child Health Study, we created trajectories of Child Behavior Checklist scores (24, 42, 60 months) using latent class linear mixed effects models. Indoor air pollutants and psychosocial factors were measured during pregnancy (2nd trimester). After adjusting for confounding, single-exposure effects (per natural log-1 unit increase) were assessed using polytomous logistic regression models; joint effects using self-organizing maps (SOM), and principal component (PC) analysis. RESULTS: Three trajectories were chosen for both internalizing and externalizing problems, with "high" (externalizing) or "increasing" (internalizing) being the most adverse trajectories. High externalizing trajectory was associated with increased particulate matter (PM10) exposure (OR [95%-CI]: 1.25 [1.01,1.55]) and SOM exposure profile most associated with smoking (2.67 [1.14,6.27]). Medium internalizing trajectory was associated with increased emotional intimate partner violence (2.66 [1.17,5.57]), increasing trajectory with increased benzene (1.24 [1.02,1.51]) and toluene (1.21 [1.02,1.44]) and the PC most correlated with benzene and toluene (1.25 [1.02, 1.54]). CONCLUSIONS: Prenatal exposure to environmental pollutants and psychosocial factors was associated with internalizing and externalizing child behavior trajectories. Understanding joint effects of adverse exposure mixtures will facilitate targeted interventions to prevent childhood psychopathology.
ABSTRACT
Background: Sex differences are related to both biological factors and the gendered environment. To untangle sex-related effects on health and disease it is important to model sex-related differences better. Methods: Data came from the baseline visit of the Hispanic Community Health Study/Study of Latinos (HCHS/SOL), a longitudinal cohort study following 16,415 individuals recruited at baseline from four study sites: Bronx NY, Miami FL, San Diego CA, and Chicago IL. We applied LASSO penalized logistic regression of male versus female sex over sociodemographic, acculturation, and psychological factors jointly. Two "gendered indices", GISE and GIPSE, summarizing the sociodemographic environment (GISE, primary) and psychosocial and sociodemographic environment (GIPSE, secondary) associated with sex, were calculated by summing these variables, weighted by their regression coefficients. We examined the association of these indices with insomnia derived from self-reported symptoms assessed via the Women Health Initiative Insomnia Rating Scale (WHIIRS), a phenotype with strong sex differences, in sex-adjusted and sex-stratified analyses. All analyses were adjusted for age, Hispanic/Latino background, and study center. Results: The distribution of GISE and GIPSE differed by sex with higher values in male individuals, even when constructing and validating them on separate, independent, subsets of HCHS/SOL individuals. In an association model with insomnia, male sex was associated with lower likelihood of insomnia (odds ratio (OR)=0.60, 95% CI (0.53, 0.67)). Including GISE in the model, the association was slightly weaker (OR=0.63, 95% CI (0.56, 0.70)), and weaker when including instead GIPSE in the association model (OR=0.78, 95% CI (0.69, 0.88)). Higher values of GISE and of GIPSE, more common in male sex, were associated with lower likelihood of insomnia, in analyses adjusted for sex (per 1 standard deviation of the index, GISE OR= 0.92, 95% CI (0.87, 0.99), GIPSE OR=0.65, 95% CI (0.61, 0.70)). Conclusions: New measures such as GISE and GIPSE capture sex-related differences beyond binary sex and have the potential to better model and inform research studies of health. However, such indices do not account for gender identity and may not well capture the environment experienced by intersex and non-binary persons.
ABSTRACT
It is hypothesized that air pollution and stress impact the central nervous system through neuroinflammatory pathways Despite this, the association between prenatal exposure to indoor air pollution and psychosocial factors on inflammatory markers in infancy has been underexplored in epidemiology studies. This study investigates the individual and joint effects of prenatal exposure to indoor air pollution and psychosocial factors on early life inflammation (interleukin-1ß (IL-1ß), interleukin-6 (IL-6), and tumor necrosis factor-α (TNF-α)). We analyzed data from the South African Drakenstein Child Health Study (N = 225). Indoor air pollution and psychosocial factor measurements were taken in the 2nd trimester of pregnancy. Circulating inflammatory markers (IL-1ß, Il-6, and TNF-α) were measured in serum in the infants at 6 weeks postnatal. Linear regression models were used to investigate associations between individual exposures and inflammatory markers. To investigate joint effects of environmental and psychosocial factors, Self-Organizing Maps (SOM) were used to create exposure profile clusters. These clusters were added to linear regression models to investigate the associations between exposure profiles and inflammatory markers. All models were adjusted for maternal age, maternal HIV status, and ancestry to control for confounding. Most indoor air pollutants were positively associated with inflammatory markers, particularly benzene and TNF-α in single pollutant models. No consistent patterns were found for psychosocial factors in single-exposure linear regression models. In joint effects analyses, the SOM profile with high indoor air pollution, low SES, and high maternal depressive symptoms were associated with higher inflammation. Indoor air pollutants were consistently associated with increased inflammation in both individual and joint effects models, particularly in combination with low SES and maternal depressive symptoms. The trend for individual psychosocial factors was not as clear, with mainly null associations. As we have observed pro- and anti-inflammatory effects, future research should investigate joint effects of these exposures on inflammation and their health effects.
Subject(s)
Air Pollution, Indoor , Inflammation , Prenatal Exposure Delayed Effects , Humans , Female , Pregnancy , Prenatal Exposure Delayed Effects/epidemiology , Prenatal Exposure Delayed Effects/psychology , Inflammation/chemically induced , Inflammation/blood , Air Pollution, Indoor/adverse effects , Adult , South Africa/epidemiology , Infant , Male , Young Adult , Maternal Exposure/adverse effects , Biomarkers/bloodABSTRACT
Importance: Sleep quality is a known marker of overall health. Studies suggest that adverse childhood experiences (ACEs) are associated with sleep disturbances among children and adults. Objective: To examine the association of retrospective and prospective ACEs with sleep quality among a cohort of Puerto Rican young adults from 2 sociocultural contexts. Design, Setting, and Participants: This prospective cohort study used data from the Boricua Youth Study (BYS), a population-based study representing Puerto Rican children from the South Bronx, New York, and Puerto Rico conducted from August 2000 to August 2003. Participants who were 5 to 9 years of age at enrollment in the BYS and who participated in wave 4 of the BYS took part in the Health Assessment (HA) when they were 18 to 29 years of age, from April 2013 to August 2017. Of the eligible 982 participants, 813 (82.8%) participated in the HA. Statistical analysis was conducted from January 2023 to January 2024. Exposures: Prospective ACEs measured from parent and youth responses and retrospective ACEs measured among young adults using questions from the validated ACE questionnaire from the original ACEs study conducted by Kaiser Permanente and the Centers for Disease Control and Prevention and published in 1998. Analysis included 8 overlapping items from both questionnaires. Outcomes: Sleep quality was assessed in the HA with the Pittsburgh Sleep Quality Index. The summary score included 7 components of the Pittsburgh Sleep Quality Index. The hypothesis was formulated after data collection. Sleep quality information was gathered at the same time as retrospective ACEs in the HA. Results: Of the 813 participants, 438 (53.9%) lived in Puerto Rico as children, 411 (50.6%) identified as female, and the mean (SE) age of participants was 22.9 (0.07) years. After adjusting for sociodemographic factors, retrospective ACEs had a significant association with worse sleep outcomes (ß [SE] = 0.29 [0.07]; 95% CI, 0.15-0.44; P < .001). Prospective ACEs did not have a significant association with sleep quality, after adjusting for sociodemographic factors (ß [SE] = 0.05 [0.10]; 95% CI, -0.14 to 0.24; P = .59). Conclusions and Relevance: This study suggests that there is a significant association between retrospective ACEs and sleep quality among Puerto Rican young adults, after adjusting for sociodemographic factors. Prospective ACEs were not significantly associated with sleep disturbances, after adjusting for sociodemographic factors. Addressing ACEs reported in young adulthood may help reduce sleep disorders.
Subject(s)
Adverse Childhood Experiences , Hispanic or Latino , Sleep Wake Disorders , Adolescent , Adult , Female , Humans , Male , Young Adult , Adverse Childhood Experiences/statistics & numerical data , Hispanic or Latino/statistics & numerical data , New York City/epidemiology , Prospective Studies , Puerto Rico/epidemiology , Puerto Rico/ethnology , Retrospective Studies , Sleep Quality , Sleep Wake Disorders/epidemiology , Child, Preschool , ChildABSTRACT
OBJECTIVE: To examine the association between changes in self-reported neighborhood stressors and sleep quality and determine whether this varied by sociocultural context among Puerto Rican young adults. METHODS: Data come from the Boricua Youth Study Health Assessment, a sample of Puerto Rican young adults from San Juan, Puerto Rico, and South Bronx, New York (n = 818; mean age=22.9years). Sleep quality was assessed using the Pittsburgh Sleep Quality Index (PSQI). Neighborhood social stressors (disorder, social cohesion, and safety) were parent-reported in childhood and self-reported in young adulthood and categorized into: low in childhood/young adulthood (reference group), high in childhood/low in young adulthood, low in childhood/high in young adulthood, and high in childhood/young adulthood. Sociocultural context was based on participant residence during childhood (San Juan vs. South Bronx). RESULTS: Adjusting for sociodemographic factors, living with high neighborhood stressors in both childhood and young adulthood (prevalence ratios=1.30, 95% CI: 1.01, 1.66) was associated with overall poor sleep (PSQI score >5). Among PSQI components, living with high neighborhood stressors in young adulthood only or in both time periods was associated with worse subjective sleep quality and daytime dysfunction. Additionally, there were various associations between the neighborhood stressor measures and PSQI components. Results did not differ by sociocultural context. CONCLUSION: Findings suggest that living with high levels of neighborhood stressors during childhood and young adulthood may have a cumulative adverse impact on sleep quality in young adulthood.
Subject(s)
Hispanic or Latino , Residence Characteristics , Self Report , Sleep Quality , Stress, Psychological , Adolescent , Adult , Female , Humans , Male , Young Adult , Hispanic or Latino/statistics & numerical data , Hispanic or Latino/psychology , New York City/epidemiology , Puerto Rico/epidemiology , Puerto Rico/ethnology , Residence Characteristics/statistics & numerical data , Stress, Psychological/ethnologyABSTRACT
OBJECTIVE: Childhood adversity is associated with poor cardiometabolic health in adulthood; little is known about how this relationship evolves through childbearing years for parous individuals. The goal was to estimate differences in cardiometabolic health indicators before, during and after childbearing years by report of childhood maltreatment in the Coronary Artery Risk Development in Young Adults (CARDIA) cohort study. METHODS: Including 743 individuals nulliparous at baseline (1985-1986) with one or more pregnancies >20 weeks during follow-up (1986-2022), we fit segmented linear regression models to estimate mean differences between individuals reporting or not reporting childhood maltreatment (physical or emotional) in waist circumference, triglycerides, high-density lipoprotein cholesterol, systolic and diastolic blood pressure, fasting glucose, and body mass index (BMI) prior to, during, and following childbearing years using generalized estimating equations, allowing for interaction between maltreatment and time within each segment, and adjusting for total parity, parental education, and race (Black or white, self-reported). RESULTS: Individuals reporting maltreatment (19%; 141) had a greater waist circumference (post-childbearing: +2.9 cm, 95% CI (0.7, 5.0), higher triglycerides [post-childbearing: +8.1 mg/dL, 95% CI (0.7, 15.6)], and lower HDL cholesterol [post-childbearing: -2.1 mg/dL, 95% CI (-4.7, 0.5)] during all stages compared to those not reporting maltreatment. There were not meaningful differences in blood pressure, fasting glucose, or BMI. Individuals who reported maltreatment did not report faster changes over time. CONCLUSION: Differences in some aspects of cardiometabolic health between individuals reporting versus not reporting childhood maltreatment were sustained across reproductive life stages, suggesting potentially persistent impacts of childhood adversity.
Subject(s)
Cardiovascular Diseases , Child Abuse , Pregnancy , Female , Humans , Young Adult , Child , Risk Factors , Cohort Studies , Coronary Vessels , Birth Order , Longevity , Body Mass Index , Triglycerides , GlucoseABSTRACT
OBJECTIVE: Psychosocial stressors have been linked with accelerated biological aging in adults; however, few studies have examined stressors across the life course in relation to biological aging. METHODS: In 359 individuals (57% White, 34% Black) from the Child Health and Development Studies Disparities study, economic (income, education, financial strain), social (parent-child relations, caretaker responsibilities) and traumatic (death of a sibling or child, violence exposure) stressors were assessed at multiple time points (birth and ages 9, 15, and 50 years). Experiences of major discrimination were assessed at age 50. Life period stress scores were then assessed as childhood (birth-age 15 years) and adulthood (age 50 years). At age 50 years, participants provided blood samples, and DNA methylation was assessed with the EPIC BeadChip. Epigenetic age was estimated using six epigenetic clocks (Horvath, Hannum, Skin and Blood age, PhenoAge, GrimAge, Dunedin Pace of Aging). Age acceleration was determined using residuals from regressing chronologic age on each of the epigenetic age metrics. Telomere length was assessed using the quantitative polymerase chain reaction-based methods. RESULTS: In linear regression models adjusted for race and gender, total life stress, and childhood and adult stress independently predicted accelerated aging based on GrimAge and faster pace of aging based on the DunedinPace. Associations were attenuated after adjusting for smoking status. In sex-stratified analyses, greater childhood stress was associated with accelerated epigenetic aging among women but not men. No associations were noted with telomere length. CONCLUSIONS: We found that cumulative stressors across the life course were associated with accelerated epigenetic age, with differences by sex (e.g., accelerated among women). Further research of this association in large and diverse samples is needed.
Subject(s)
Life Change Events , Stress, Psychological , Adult , Child , Humans , Female , Middle Aged , Adolescent , Aging , DNA Methylation , Educational Status , Epigenesis, GeneticSubject(s)
Child Abuse , Coronary Vessels , Humans , Child , Young Adult , Longevity , Caregivers , Risk Factors , Social EnvironmentABSTRACT
BACKGROUND: To estimate associations between facets of the maternal childhood family environment with gestational diabetes (GDM) and to test mediation by pre-pregnancy waist circumference. METHODS: We used data from CARDIA, a cohort of individuals aged 18-30 years at baseline (1985-86), followed over 30 years (2016). We included participants with one or more pregnancies ≥ 20 weeks after baseline, without pre-pregnancy diabetes. The primary exposure was the Childhood Family Environment Scale (assessed year 15), including the total score and abuse, nurture, and stability subscales as continuous, separate exposures. The outcome was GDM (self-reported at each visit for each pregnancy). We fit log binomial models with generalized estimating equations to calculate risk ratios (RR) and 95% confidence intervals (CI), adjusting for age at delivery, parity, race (Black or White), and parental education. We used regression models with bootstrapped CIs to test mediation and effect modification by excess abdominal adiposity at the last preconception CARDIA visit (waist circumference ≥ 88 cm). RESULTS: We included 1033 individuals (46% Black) with 1836 pregnancies. 130 pregnancies (7.1%) were complicated by GDM. For each 1 point increase on the abuse subscale (e.g., from "rarely or never" to "some or little of the time") there was a 30% increased risk of GDM (RR: 1.3, 95% CI: 1.0, 1.7). There was evidence of effect modification but not mediation by preconception abdominal adiposity. CONCLUSIONS: A more adverse childhood family environment was associated with increased risk of GDM, with a stronger association among individuals with preconception waist circumference ≥ 88 cm.
Subject(s)
Diabetes, Gestational , Prediabetic State , Pregnancy , Female , Young Adult , Humans , Child , Diabetes, Gestational/epidemiology , Coronary VesselsABSTRACT
Societal systems act individually and in combination to create and perpetuate structural racism through both policies and practices at the local, state, and federal levels, which, in turn, generate racial and ethnic health disparities. Both current and historical policy approaches across multiple sectors-including housing, employment, health insurance, immigration, and criminal legal-have the potential to affect child health equity. Such policies must be considered with a focus on structural racism to understand which have the potential to eliminate or at least attenuate disparities. Policy efforts that do not directly address structural racism will not achieve equity and instead worsen gaps and existing disparities in access and quality-thereby continuing to perpetuate a two-tier system dictated by racism. In Paper 2 of this Series, we build on Paper 1's summary of existing disparities in health-care delivery and highlight policies within multiple sectors that can be modified and supported to improve health equity, and, in so doing, improve the health of racially and ethnically minoritised children.
Subject(s)
Health Equity , Racism , Child , Humans , United States , Health Status Disparities , Policy , Racism/prevention & control , Emigration and ImmigrationABSTRACT
Racial and ethnic inequities in paediatric care have received increased research attention over the past two decades, particularly in the past 5 years, alongside an increased societal focus on racism. In this Series paper, the first in a two-part Series focused on racism and child health in the USA, we summarise evidence on racial and ethnic inequities in the quality of paediatric care. We review studies published between Jan 1, 2017 and July 31, 2022, that are adjusted for or stratified by insurance status to account for group differences in access, and we exclude studies in which differences in access are probably driven by patient preferences or the appropriateness of intervention. Overall, the literature reveals widespread patterns of inequitable treatment across paediatric specialties, including neonatology, primary care, emergency medicine, inpatient and critical care, surgery, developmental disabilities, mental health care, endocrinology, and palliative care. The identified studies indicate that children from minoritised racial and ethnic groups received poorer health-care services relative to non-Hispanic White children, with most studies drawing on data from multiple sites, and accounting for indicators of family socioeconomic position and clinical characteristics (eg, comorbidities or condition severity). The studies discussed a range of potential causes for the observed disparities, including implicit biases and differences in site of care or clinician characteristics. We outline priorities for future research to better understand and address paediatric treatment inequities and implications for practice and policy. Policy changes within and beyond the health-care system, discussed further in the second paper of this Series, are essential to address the root causes of treatment inequities and to promote equitable and excellent health for all children.
Subject(s)
Ethnicity , Racism , Humans , Child , United States , Delivery of Health Care , Palliative Care , Child HealthABSTRACT
BACKGROUND: Racial and ethnic minorities have experienced a disproportionate burden of severe COVID-19. Whether chronic stress, also disproportionately experienced by racial and ethnic minorities, explains this excess risk is unknown. METHODS: We identified 9577 adults (≥ 18 years) diagnosed with COVID-19 from January 1, 2020, through September 30, 2021, enrolled in Kaiser Permanente Georgia (KPGA) with complete biomarker data. Self-reported race (Black or White) was defined from electronic medical records. Chronic stress, defined as allostatic load (AL), a composite score (scale 0-7) based on seven cardio-metabolic biomarkers, was categorized as below (low AL) or above (high AL) the median. Severe COVID-19 was defined as hospitalization or mortality within 30 days of COVID-19 diagnosis. The association between race, AL, and severe COVID-19 was assessed using multivariable Poisson regression. The mediating effect of AL was assessed using the Valeri and VanderWeele method. All results were expressed as risk ratios (RRs) with 95% confidence intervals. RESULTS: Overall, Black (vs. White) KPGA members had an 18% excess risk of AL (RR: 1.18, 95%CI: 1.14-1.23) and a 24% excess risk of severe COVID-19 (RR: 1.24, 95%CI: 1.12, 1.37). AL explained 23% of the Black-White disparities in severe COVID-19. CONCLUSIONS: In our study, chronic stress, characterized by AL, partially mediated Black-White disparities in severe COVID-19 outcomes.
ABSTRACT
We describe and compare the prevalence of cardiometabolic risk factors and ideal cardiovascular health (CVH) among Puerto Rican young adults in the San Juan metro area in Puerto Rico and the South Bronx, NY. As part of the Boricua Youth Study - Health Assessment, (mean age 23 ± 0.1 years) objective anthropometric, blood pressure and blood samples were collected. Information on diet, physical activity and sleep were collected via surveys. Life's Essential 8 metrics were characterized as continuous with higher scores indicating more optimal CVH and categorically (80-100 scores for ideal CVH). Mean CVH score among NY participants was lower (61.9) than in PR (68.9). No participant had all ideal health metrics, 36% of participants in PR had 5 or more ideal CVH; while only 16% in NY met this criterion. The prevalence of cardiometabolic risk factors was high for obesity (35% in NY, 19% in PR) and diabetes (17% NY, 20% PR). In this ethnically homogenous population, we found low levels of ideal CVH that varied across study site, suggesting differences by sociocultural context. Interventions to maintain and improve CVH across the life course, tailored to sociocultural environments, are necessary for the prevention of cardiovascular disease.
Subject(s)
Cardiometabolic Risk Factors , Cardiovascular Diseases , Hispanic or Latino , Humans , Young Adult , Blood Pressure , Cardiovascular Diseases/etiology , Diet , Prevalence , Puerto Rico , New York CityABSTRACT
BACKGROUND: Cigarette smoking and physical inactivity are two critical risk factors for noncommunicable diseases and all-cause mortality. However, few studies have compared the long-term trajectories of both behaviors, as well as multilevel factors associated with trajectory patterns. Using the National Longitudinal Study of Adolescent to Adult Health (Add Health) Wave I through V survey data, this study characterized distinct subgroups of the population sharing similar behavioral patterns from adolescence to adulthood, as well as predictors of subgroup membership for physical activity (PA) and cigarette smoking behavior respectively. METHODS: Using the Add Health Wave I through V survey data, we identified the optimal number of latent classes and class-specific trajectories of PA and cigarette smoking from early adolescence to adulthood, fitting latent growth mixture models with standardized PA score and past 30-day cigarette smoking intensity as outcome measures and age as a continuous time variable. Associations of baseline sociodemographic factors, neighborhood characteristics, and sociopsychological factors with trajectory class membership were assessed using multinomial logistic regression. RESULTS: We identified three distinct subgroups of non-linear PA trajectories in the study population: moderately active group (N = 1067, 5%), persistently inactive group (N = 14,257, 69%) and worsening activity group (N = 5410, 26%). Foror cigarette smoking, we identified three distinct non-linear trajectory subgroups: persistent non-smoker (N = 14,939, 72%), gradual quitter (N = 2357, 11%), and progressing smoker (N = 3393, 16%). Sex, race/ethnicity, neighborhood environment and perceived peer support during adolescence were significant predictors of both physical activity and cigarette smoking trajectory subgroup membership from early adolescence to adulthood. CONCLUSIONS: There are three distinct subgroups of individuals sharing similar PA and cigarette smoking behavioral profile respectively from adolescence to adulthood in the Add Health study population. Behavioral interventions that focus on neighborhood environment (e.g. establish community-based activity center) and relationship to peers during adolescence (e.g. peer counseling) could be key to long-term PA promotion and cigarette smoking cessation.