Early Evidence of Chronic Obstructive Pulmonary Disease Obscured by Race-Specific Prediction Equations.

Rationale: The identification of early chronic obstructive pulmonary disease (COPD) is essential to appropriately counsel patients regarding smoking cessation, provide symptomatic treatment, and eventually develop disease-modifying treatments. Disease severity in COPD is defined using race-specific spirometry equations. These may disadvantage non-White individuals in diagnosis and care. Objectives: Determine the impact of race-specific equations on African American (AA) versus non-Hispanic White individuals. Methods: Cross-sectional analyses of the COPDGene (Genetic Epidemiology of Chronic Obstructive Pulmonary Disease) cohort were conducted, comparing non-Hispanic White (n = 6,766) and AA (n = 3,366) participants for COPD manifestations. Measurements and Main Results: Spirometric classifications using race-specific, multiethnic, and "race-reversed" prediction equations (NHANES [National Health and Nutrition Examination Survey] and Global Lung Function Initiative "Other" and "Global") were compared, as were respiratory symptoms, 6-minute-walk distance, computed tomography imaging, respiratory exacerbations, and St. George's Respiratory Questionnaire. Application of different prediction equations to the cohort resulted in different classifications by stage, with NHANES and Global Lung Function Initiative race-specific equations being minimally different, but race-reversed equations moving AA participants to more severe stages and especially between the Global Initiative for Chronic Obstructive Lung Disease (GOLD) stage 0 and preserved ratio impaired spirometry groups. Classification using the established NHANES race-specific equations demonstrated that for each of GOLD stages 1-4, AA participants were younger, had fewer pack-years and more current smoking, but had more exacerbations, shorter 6-minute-walk distance, greater dyspnea, and worse BODE (body mass index, airway obstruction, dyspnea, and exercise capacity) scores and St. George's Respiratory Questionnaire scores. Differences were greatest in GOLD stages 1 and 2. Race-reversed equations reclassified 774 AA participants (43%) from GOLD stage 0 to preserved ratio impaired spirometry. Conclusions: Race-specific equations underestimated disease severity among AA participants. These effects were particularly evident in early disease and may result in late detection of COPD.

Considerations, Caveats, and Suggestions for the Use of Polygenic Scores for Social and Behavioral Traits.

Polygenic scores (PGS) are increasingly being used for prediction of social and behavioral traits, but suffer from many methodological, theoretical, and ethical concerns that profoundly limit their value. Primarily, these scores are derived from statistical correlations, carrying no inherent biological meaning, and thus may capture indirect effects. Further, the performance of these scores depends upon the diversity of the reference populations and the genomic panels from which they were derived, which consistently underrepresent minoritized populations, leading to poor fit when applied to diverse groups. There is also inherent danger of eugenic applications for the information gained from these scores, and general risk of misunderstandings that could lead to stigmatization for underrepresented groups. We urge extreme caution in use of PGS particularly for social/behavioral outcomes fraught for misinterpretation, with potential harm for the minoritized groups least likely to benefit from their use.

Were fewer boys born in the United States during the early months of the COVID-19 pandemic? A test of the Trivers-Willard hypothesis.

The Trivers-Willard hypothesis predicts that mammalian parents in poor environmental conditions will favor the offspring sex with more reliable chance of reproductive success, which in humans is females. Three months following the onset of the COVID-19 pandemic in South Africa, England, and Wales, there were significant decreases in the sex ratio at birth (SRB) (male births/total live births). We analyzed this ratio with a seasonal autoregressive moving average model, and a logistic regression, using nationwide natality data for all singleton births in the United States from 2015 to 2021 (n = 25,201,620 total births). We identified no significant change in the sex ratio in either analysis. Rather, we observed marked differences in the sex ratio by maternal characteristics of race/ethnicity, age, and education, with more vulnerable groups having lower sex ratios. These findings suggest the SRB may be an important marker of reproductive vulnerability for disadvantaged groups in the United States.

The Impact of the COVID-19 Pandemic on the Sex Ratio at Birth in Ireland.

OBJECTIVES: The sex ratio at birth (SRB), calculated as male divided by total live births, is an important indicator of population health. Typically, male live births slightly outnumber female live births. Population events, including pandemics, can alter the SRB, with effects sometimes evident 9 months post-event, potentially due to changes in sexual behavior and/or stress levels. This study investigates the impact of the COVID-19 pandemic on the SRB in the Republic of Ireland. METHODS: Publicly available monthly live birth data for Ireland were obtained from the Central Statistics Office for the period 2015 to 2021. Time series analysis predicted the SRB for 2020 using data from 2015 to 2019, with comparisons made between observed and predicted values. RESULTS: In December 2020, 9 months after the March 2020 COVID-19 declaration, the observed SRB sharply fell to 49.44% (97.80 males for every 100 females), below the 95% prediction interval of 50.31% to 52.15%, significantly deviating from the expected male predominance. December 2020 also recorded the lowest average daily number of births (n = 145) in the study period. CONCLUSION: The sharp decline in the SRB in December 2020, alongside the lowest birth count, suggests reduced sexual intercourse at the population level, particularly in March 2020, aligning with recommendations from Ireland's Health Service Executive (HSE). The HSE advocated precautionary measures such as limiting partnered sex in March 2020 to mitigate the spread of COVID-19. These findings highlight the pandemic's potential impact on population dynamics and stress the importance of SRB monitoring as a low-cost and readily available health indicator, especially during national crises.

Genomic supremacy: the harm of conflating genetic ancestry and race.

BACKGROUND: Recent studies have reignited the tinderbox of debate surrounding the use of race and ancestry in medicine. These controversial studies have argued for a strong correlation between genetic ancestry and race, justifying continued use of genetic ancestry measures in studies of disease. These studies contend that increased use of continental ancestry estimates can inform clinical risk assessments and management. Further, recent studies of racial corrections used in clinical algorithms, such as those used to estimate 'normal' lung function, also advocate for use of genetic ancestry in place of race for refining risk algorithms. MAIN BODY: These positions are misleading, harmful, and reflect superficial interpretations of population genetics. In this Perspective, we argue that continental genetic ancestry, often proxied by race, serves as a poor indicator of disease risk, and reinforces racialized inequities. CONCLUSION: Instead, we endorse that racial disparities in disease should be investigated by rigorous measures of structural racism alongside careful measures of genetic factors in relevant disease pathways, rather than relying on genetic ancestry or race as a crude proxy for disease-causing alleles.

Changes in mental health symptoms and sociocultural factors across the COVID-19 pandemic in mothers of Mexican descent.

Latinos have been disproportionately affected by the COVID-19 pandemic in the US. Little is known about the lasting effects on mental health, particularly among mothers of young children, who historically report high levels of depression and anxiety. We examined if anxiety and depression symptoms worsened for mothers of Mexican descent across the pandemic and identified the role of sociocultural risk and protective factors on these changes. Mothers of Mexican descent (n = 141) with young children (ages 0-7) were administered surveys on mental health symptoms (anxiety and depression), stress-related sociocultural factors (perceived discrimination) before (pre-pandemic), within 3 months (early pandemic), and 18 months after the COVID-19 stay-at-home order (late pandemic). Another sociocultural factor, acculturative stress, was only measured pre-pandemic while during the later phase of the pandemic mothers reported their levels of loneliness, optimism, and coping styles. Repeated measures (RM) ANOVA demonstrated that depressive and anxiety symptoms as well as perceived discrimination increased from pre to early months of the COVID-19 pandemic and slightly lowered in late-COVID but did not return to pre-COVID levels. Two-way RM ANOVA showed that acculturative stress and perceived discrimination predicted worse mental health trajectories across the pandemic while moderations revealed that optimism buffered against, and avoidant coping increased the adverse effects of sociocultural factors on mental health. The effects of the COVID pandemic on mental health are lingering in mothers of young children; however, optimism may be a protective factor. The results also highlight the damaging effects of external factors, such as discrimination, on maternal mental health during times of crisis.

Optimism and Social Support Predict Healthier Adult Behaviors Despite Socially Disadvantaged Childhoods.

BACKGROUND: Studies have shown adverse effects of a disadvantaged childhood on adult health-promoting behaviors and related outcomes. Optimism and social support have been linked to greater likelihood of engaging in healthy behavior, but it is unclear whether these positive psychosocial factors may buffer harmful effects of early adversity. This study aims to determine if optimism and social support in adulthood can modify effects of childhood disadvantage on health behavior-related outcomes. METHODS: Longitudinal data were analyzed from a subset of participants in a US birth cohort established in 1959-1966 (ns of 681-840, per outcome). An index of childhood social disadvantage was derived from adverse socioeconomic and family stability factors reported by mothers at child's birth and age 7 years. Health behavior-related outcomes were self-reported when participants were of mean age 47 years. Multivariable adjusted robust Poisson regressions were performed. RESULTS: Regardless of level of childhood social disadvantage, we found higher levels of optimism and social support were both associated with higher probabilities of being a non-smoker (relative risk [RR]optimism = 1.17, 95% confidence interval [CI] = 1.09-1.26; RRsocial support = 1.24, 95%CI = 1.11-1.39), having a healthy diet (RRoptimism = 1.25, 95%CI = 1.10-1.43; RRsocial support = 1.27, 95%CI = 1.04-1.56), and a healthy body mass index (RRoptimism = 1.18, 95%CI = 1.00-1.40; RRsocial support = 1.29, 95%CI = 1.00-1.66). Interactions link higher optimism or social support with lower risk of smoking among those with moderate childhood disadvantage. CONCLUSIONS: Overall, these findings are consistent with the possibility that positive psychosocial resources contribute to maintaining a healthy lifestyle in mid-adulthood and may buffer effects of childhood social disadvantage.

Stress across generations: A qualitative study of stress, coping, and caregiving among Mexican immigrant mothers.

OBJECTIVE: Hispanic immigrants represent the largest and fastest growing ethnic minority within the US, justifying increased attention to identify factors that influence declining immigrant health across generations. This study investigates the range of psychosocial stress exposures and coping mechanisms of Mexican immigrant mothers, and implications for the health of their US-born children. DESIGN: We conducted 10 focus groups with 1st generation Mexican-born immigrant mothers (n = 32 women) in Nashville, TN, in the summer of 2014. Focus groups elicited challenges and benefits of life as an immigrant mother. Data were analyzed using a modified grounded theory approach. RESULTS: We identified four themes that indicate how maternal stressors could impact children's health: (1) work-family tradeoff, (2) limited freedom/mobility, (3) reduction of social networks, and (4) transmission of anxiety and fears to children. Women in our study also engage in a range of coping mechanisms, including the creation of new social networks, seeking support in religion, and seeking help from community resources. CONCLUSION: These results highlight the importance of developing new questionnaires to elicit stress exposures for Mexican immigrant mothers. Findings also suggest the value of intervention strategies and social policies that would ultimately improve maternal and child health in this marginalized population.