Quantifying cardiometabolic risk using modifiable non-self-reported risk factors

Employee Cardiometabolic Risk Following a Cluster-Randomized Workplace Intervention From the Work, Family and Health Network, 2009-2013

Objectives. To examine whether workplace interventions to increase workplace flexibility and supervisor support and decrease work-family conflict can reduce cardiometabolic risk. Methods. We randomly assigned employees from information technology (n = 555) and long-term care (n = 973) industries in the United States to the Work, Family and Health Network intervention or usual practice (we collected the data 2009-2013). We calculated a validated cardiometabolic risk score (CRS) based on resting blood pressure, HbA1c (glycated hemoglobin), HDL (high-density lipoprotein) and total cholesterol, height and weight (body mass index), and tobacco consumption. We compared changes in baseline CRS to 12-month follow-up. Results. There was no significant main effect on CRS associated with the intervention in either industry. However, significant interaction effects revealed that the intervention improved CRS at the 12-month follow-up among intervention participants in both industries with a higher baseline CRS. Age also moderated intervention effects: older employees had significantly larger reductions in CRS at 12 months than did younger employees. Conclusions. The intervention benefited employee health by reducing CRS equivalent to 5 to 10 years of age-related changes for those with a higher baseline CRS and for older employees. Trial Registration. ClinicalTrials.gov Identifier: NCT02050204. (Am J Public Health. 2023;113(12):1322-1331. https://doi.org/10.2105/AJPH.2023.307413).

Psychological Well-Being in Childhood and Cardiometabolic Risk in Middle Adulthood: Findings From the 1958 British Birth Cohort

Childhood adversity is linked to poor cardiometabolic outcomes, but less is known about positive childhood factors. Using data from 4,007 members of the 1958 British Birth Cohort, we investigated whether children with greater psychological well-being had lower adulthood cardiometabolic risk. At age 11, participants wrote essays about their future. Two judges rated each essay for nine psychological well-being items (Finn's r = .82-.91), which were combined into a standardized overall score (Cronbach's α = .91). When participants reached age 45, nurses assessed their blood pressure, heart rate, lipids, glycosylated hemoglobin, fibrinogen, and C-reactive protein, which were standardized and summed for total cardiometabolic risk. Regressions indicated that children with greater psychological well-being had lower cardiometabolic risk (b = -0.14, 95% confidence interval [CI] = [-0.28, -0.006]): specifically, healthier total cholesterol (b = -0.04, 95% CI = [-0.07, -0.003]) and triglycerides (b = -0.06, 95% CI = [-0.09, -0.02]). Childhood psychological well-being may promote adulthood cardiometabolic health.

A comparison of statistical and machine-learning techniques in evaluating the association between dietary patterns and 10-year cardiometabolic risk (2002-2012): the ATTICA study

Statistical methods are usually applied in examining diet-disease associations, whereas factor analysis is commonly used for dietary pattern recognition. Recently, machine learning (ML) has been also proposed as an alternative technique in health classification. In this work, the predictive accuracy of statistical v. ML methodologies as regards the association of dietary patterns on CVD risk was tested. During 2001-2002, 3042 men and women (45 (sd 14) years) were enrolled in the ATTICA study. In 2011-2012, the 10-year CVD follow-up was performed among 2020 participants. Item Response Theory was applied to create a metric of combined 10-year cardiometabolic risk, the 'Cardiometabolic Health Score', that incorporated incidence of CVD, diabetes, hypertension and hypercholesterolaemia. Factor analysis was performed to extract dietary patterns, on the basis of either foods or nutrients consumed; linear regression analysis was used to assess their association with the cardiometabolic score. Two ML techniques (k-nearest-neighbor's algorithm and random-forests decision tree) were applied to evaluate participants' health based on dietary information. Factor analysis revealed five and three factors from foods and nutrients, respectively, explaining 54 and 65 % of the total variation in intake. Nutrient and food pattern regression models showed similar accuracy in correctly classifying an individual according to the cardiometabolic risk (R 2=9·6 % and R 2=8·3 %, respectively). ML techniques were superior compared with linear regression in correct classification of the individuals according to the Health Score (accuracy approximately 38 v. 6 %, respectively), whereas the two ML methods showed equal classification ability. Conclusively, ML methods could be a valuable tool in the field of nutritional epidemiology, leading to more accurate disease-risk evaluation.

Sleep Health and Predicted Cardiometabolic Risk Scores in Employed Adults From Two Industries

STUDY OBJECTIVES

Sleep disorders and sleep deficiency can increase the risk for cardiovascular disease. Less is known about whether multiple positive attributes of sleep health known as the SATED (satisfaction, alertness, timing, efficiency, and duration) model, can decrease future cardiovascular disease risks. We examined whether and how a variety of indicators of sleep health predicted 10-year estimated cardiometabolic risk scores (CRS) among employed adults.

METHODS

Workers in two industries-extended care (n = 1,275) and information technology (IT; n = 577)-reported on habitual sleep apnea symptoms and sleep sufficiency, and provided 1 week of actigraphy data including nighttime sleep duration, wake after sleep onset (WASO), sleep timing, and daytime napping. Workers also provided biomarkers to calculate future cardiometabolic risk.

RESULTS

More sleep apnea symptoms predicted higher CRS in both industries. More sleep sufficiency, less WASO, and less daytime napping (having no naps, fewer naps, and shorter nap duration) were also linked to lower CRS, but only in the extended care workers. There was no effect of sleep duration in both industries. In the IT employee sample, shorter sleep duration (≤ 6 hours versus 6-8 hours) and more naps strengthened the link between sleep apnea and CRS.

CONCLUSIONS

Sleep health, measured by both subjective and objective methods, was associated with lower cardiometabolic disease risks among extended care workers (lower to middle wage workers). Sleep apnea was an important predictor of CRS; for the IT workers, the link between sleep apnea and CRS was exacerbated when they had poorer sleep health behaviors.

Childhood Psychological Distress as a Mediator in the Relationship Between Early-Life Social Disadvantage and Adult Cardiometabolic Risk: Evidence From the 1958 British Birth Cohort

OBJECTIVES

Prior research on the relationship between early adversity and adult chronic disease has often relied on retrospective reports of a limited range of exposures and has not considered childhood psychological distress as a mediator. We investigate whether distress in childhood is one pathway by which early social disadvantage leads to greater cardiometabolic risk in middle adulthood.

METHODS

Data are from the 1958 British Birth Cohort study (sample n = 6027). We created an early social disadvantage index based on 16 exposures related to family and socioeconomic hardship from birth to age 7. Childhood psychological distress was ascertained from internalizing and externalizing symptoms at ages 7, 11, and 16 years. Cardiometabolic risk was assessed with a Z-standardized score derived from 9 immune, cardiovascular, and metabolic biomarkers measured at age 45. We used linear regression models and formal tests of mediation to assess relationships between disadvantage, distress, and subsequent cardiometabolic risk.

RESULTS

Higher social disadvantage predicted increased adult cardiometabolic risk (β = 0.05; 95% CI = 0.03-0.07). Mediation analyses revealed a significant direct (path c'; β = 0.03; 95% CI = 0.01-0.05) and indirect (path ab; β = 0.02; 95% CI = 0.01-0.02) effect of social disadvantage on cardiometabolic risk, adjusting for potential confounders. Child psychological distress accounted for 37% (95% CI = 34-46%) of the observed association.

CONCLUSIONS

Results suggest childhood distress may be one factor on the pathway linking early disadvantage to higher risk of developing cardiometabolic diseases. Such results may point to the importance of blocking the translation of psychosocial to biological risk during a potentially sensitive developmental window.

Lack of Lipid Screening Disparities in Obese Latino Adults at Health Centers

INTRODUCTION

In cross-sectional survey studies, obese Latinos are less likely to be screened for elevated serum cholesterol, despite their higher risk for hyperlipidemia and coronary artery disease. This study evaluated insurance and racial/ethnic disparities in lipid screening receipt between obese Latino and non-Hispanic white patients in Oregon community health centers (CHCs) over 5 years, using electronic health record data.

METHODS

This retrospective cohort study evaluated obese (BMI ≥30), low-income, adult patients (aged 21-79 years) with at least one visit at an Oregon CHC during 2009-2013 (n=11,095). Odds of lipid screening in the study period (clinical data collected in 2009-2013) were measured, adjusting for age, sex, primary clinic, and comorbidities, stratified by utilization in the study period. Analysis was done in 2016.

RESULTS

Sixty percent of the study population received at least one lipid screening in 2009-2013. There were no significant differences in screening between insured Latinos and insured non-Hispanic whites, except those with more than five visits over 5 years (OR=0.75, 95% CI=0.60, 0.94). Uninsured Latinos had higher odds of screening versus insured non-Hispanic whites among the low visit strata (OR=1.65, 95% CI=1.18, 2.30). Among Latinos, Spanish preference resulted in higher screening odds versus English preference in the two- to five-visit stratum (OR=1.63, 95% CI=1.12, 2.35).

CONCLUSIONS

Obese, low-income patients at CHCs underutilize cholesterol screening. However, screening differences by race/ethnicity and preferred language are minimal. Further research is necessary to understand how care delivered by CHCs may mitigate previously reported disparities in lipid screening.

Assessing Sex Differences in the Risk of Cardiovascular Disease and Mortality per Increment in Systolic Blood Pressure: A Systematic Review and Meta-Analysis of Follow-Up Studies in the United States

In the United States (US), cardiovascular (CV) disease accounts for nearly 20% of national health care expenses. Since costs are expected to increase with the aging population, informative research is necessary to address the growing burden of CV disease and sex-related differences in diagnosis, treatment, and outcomes. Hypertension is a major risk factor for CV disease and mortality. To evaluate whether there are sex-related differences in the effect of systolic blood pressure (SBP) on the risk of CV disease and mortality, we performed a systematic review and meta-analysis. We conducted a comprehensive search using PubMed and Google Scholar to identify US-based studies published prior to 31 December, 2015. We identified eight publications for CV disease risk, which provided 9 female and 8 male effect size (ES) observations. We also identified twelve publications for CV mortality, which provided 10 female and 18 male ES estimates. Our meta-analysis estimated that the pooled ES for increased risk of CV disease per 10 mmHg increment in SBP was 25% for women (95% Confidence Interval (CI): 1.18, 1.32) and 15% for men (95% CI: 1.11, 1.19). The pooled increase in CV mortality per 10 mm Hg SBP increment was similar for both women and men (Women: 1.16; 95% CI: 1.10, 1.23; Men: 1.17; 95% CI: 1.12, 1.22). After adjusting for age and baseline SBP, the results demonstrated that the risk of CV disease per 10 mm Hg SBP increment for women was 1.1-fold higher than men (P<0.01; 95% CI: 1.04, 1.17). Heterogeneity was moderate but significant. There was no significant sex difference in CV mortality.

Subjective well-being and cardiometabolic health: An 8-11year study of midlife adults

OBJECTIVE

Individuals who are satisfied and experience frequent positive emotions tend to have reduced risk for coronary heart disease (CHD). However, conflicting evidence exists and little research has investigated whether well-being is associated with early-warning indicators of biological risk that precede CHD. We investigated whether life satisfaction and positive emotions longitudinally predicted reduced risk of incident cardiometabolic conditions and healthier cardiometabolic risk scores, which may provide insight into underlying mechanisms and novel prevention targets.

METHODS

Initially healthy men and women (N=754-854) reported their baseline life satisfaction and positive emotions. During follow-up, presence of manifest cardiometabolic conditions was assessed and a separate cardiometabolic risk score was constructed from eight biomarkers. Poisson and linear regression analyses tested whether life satisfaction and positive emotions were associated with reduced incident disease risk and lower cardiometabolic risk scores 8-11years later.

RESULTS

Life satisfaction and positive emotions were each prospectively associated with reduced risk of manifest conditions, controlling for demographics and family history of CHD. Associations were attenuated for positive emotions after adjusting for depressive symptoms and for life satisfaction after adjusting for health behaviors. Life satisfaction was associated with lower cardiometabolic risk scores until adding health behaviors, but positive emotions were not (regardless of the included covariates).

CONCLUSION

Well-being, particularly life satisfaction, is associated with reduced risk for incident cardiometabolic conditions in minimally-adjusted models. However, accounting for underlying behavioral pathways attenuates the association. Low levels of life satisfaction (but not positive emotions) may also provide early warning of cardiometabolic risk prior to disease development.

Work-family conflict, cardiometabolic risk, and sleep duration in nursing employees

We investigated associations of work-family conflict and work and family conditions with objectively measured cardiometabolic risk and sleep. Multilevel analyses assessed cross-sectional associations between employee and job characteristics and health in analyses of 1,524 employees in 30 extended-care facilities in a single company. We examined work and family conditions in relation to: (a) validated, cardiometabolic risk score based on measured blood pressure, cholesterol, glycosylated hemoglobin, body mass index, and self-reported tobacco consumption and (b) wrist actigraphy-based sleep duration. In fully adjusted multilevel models, work-to-family conflict but not family-to-work conflict was positively associated with cardiometabolic risk. Having a lower level occupation (nursing assistant vs. nurse) was associated with increased cardiometabolic risk, whereas being married and having younger children at home was protective. A significant Age × Work-to-Family Conflict interaction revealed that higher work-to-family conflict was more strongly associated with increased cardiometabolic risk in younger employees. High family-to-work conflict was significantly associated with shorter sleep duration. Working long hours and having children at home were both independently associated with shorter sleep duration. High work-to-family conflict was associated with longer sleep duration. These results indicate that different dimensions of work-family conflict may pose threats to cardiometabolic health and sleep duration for employees. This study contributes to the research on work-family conflict, suggesting that work-to-family and family-to-work conflict are associated with specific health outcomes. Translating theory and findings to preventive interventions entails recognition of the dimensionality of work and family dynamics and the need to target specific work and family conditions.

Work stress, sleep deficiency, and predicted 10-year cardiometabolic risk in a female patient care worker population

OBJECTIVES

The aim of this study was to investigate the longitudinal effect of work-related stress, sleep deficiency, and physical activity on 10-year cardiometabolic risk among an all-female worker population.

METHODS

Data on patient care workers (n=99) was collected 2 years apart. Baseline measures included: job stress, physical activity, night work, and sleep deficiency. Biomarkers and objective measurements were used to estimate 10-year cardiometabolic risk at follow-up. Significant associations (P<0.05) from baseline analyses were used to build a multivariable linear regression model.

RESULTS

The participants were mostly white nurses with a mean age of 41 years. Adjusted linear regression showed that having sleep maintenance problems, a different occupation than nurse, and/or not exercising at recommended levels at baseline increased the 10-year cardiometabolic risk at follow-up.

CONCLUSIONS

In female workers prone to work-related stress and sleep deficiency, maintaining sleep and exercise patterns had a strong impact on modifiable 10-year cardiometabolic risk.