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).

Quantifying the Contribution of Work Characteristics to Educational Disparities in Health-Induced Work Limitations.

OBJECTIVES: To quantify how poor health and inhospitable working conditions each contribute to educational disparities in work disability in midlife and old age. METHODS: We used the Health and Retirement Study (2006-2016) to examine educational disparities in reporting "any impairment or health problem that limits the kind or amount of paid work" in ages 51-80. RESULTS: We found disparities to be profound and persistent over time. Blinder-Oaxaca threefold decomposition revealed that distributions of income and employer insurance made the largest contribution to explaining different rates of work limitations among respondents with versus without high school degrees, followed by work characteristics (physical job demands, insufficient hours) and health conditions (diabetes, lung disease). Comparing respondents with high school versus college degrees, distributions of health conditions mattered most (high blood pressure, lung disease, heart disease, stroke), followed by health behaviors (smoking, drinking). Health-induced work limitations are often used as a measure of health, but we found that work characteristics explained 57% of the disadvantage of those without a high school degree and 44% of the disadvantage of high school compared to college graduates. DISCUSSION: Work environments appear to play an important role in educational disparities in mid- to late-life disability.

Towards a consensus definition of allostatic load: a multi-cohort, multi-system, multi-biomarker individual participant data (IPD) meta-analysis.

BACKGROUND: Allostatic load (AL) is a multi-system composite index for quantifying physiological dysregulation caused by life course stressors. For over 30 years, an extensive body of research has drawn on the AL framework but has been hampered by the lack of a consistent definition. METHODS: This study analyses data for 67,126 individuals aged 40-111 years participating in 13 different cohort studies and 40 biomarkers across 12 physiological systems: hypothalamic-pituitary-adrenal (HPA) axis, sympathetic-adrenal-medullary (SAM) axis, parasympathetic nervous system functioning, oxidative stress, immunological/inflammatory, cardiovascular, respiratory, lipidemia, anthropometric, glucose metabolism, kidney, and liver. We use individual-participant-data meta-analysis and exploit natural heterogeneity in the number and type of biomarkers that have been used across studies, but a common set of health outcomes (grip strength, walking speed, and self-rated health), to determine the optimal configuration of parameters to define the concept. RESULTS: There was at least one biomarker within 9/12 physiological systems that was reliably and consistently associated in the hypothesised direction with the three health outcomes in the meta-analysis of these cohorts: dehydroepiandrosterone sulfate (DHEAS), low frequency-heart rate variability (LF-HRV), C-reactive protein (CRP), resting heart rate (RHR), peak expiratory flow (PEF), high density lipoprotein cholesterol (HDL-C), waist-to-height ratio (WtHR), HbA1c, and cystatin C. An index based on five biomarkers (CRP, RHR, HDL-C, WtHR and HbA1c) available in every study was found to predict an independent outcome - mortality - as well or better than more elaborate sets of biomarkers. DISCUSSION: This study has identified a brief 5-item measure of AL that arguably represents a universal and efficient set of biomarkers for capturing physiological 'wear and tear' and a further biomarker (PEF) that could usefully be included in future data collection.

Incidence of Cognitive Impairment during Aging in Rural South Africa: Evidence from HAALSI, 2014 to 2019.

INTRODUCTION: Despite rapid population aging, there are currently limited data on the incidence of aging-related cognitive impairment in sub-Saharan Africa. We aimed to determine the incidence of cognitive impairment and its distribution across key demographic, social, and health-related factors among older adults in rural South Africa. METHODS: Data were from in-person interviews with 3,856 adults aged ≥40 who were free from cognitive impairment at baseline in the population-representative cohort, "Health and Aging in Africa: a Longitudinal Study of an INDEPTH Community in South Africa" (HAALSI), in Agincourt sub-district, Mpumalanga province, South Africa (2014-19). Cognitive impairment was defined as scoring <1.5 standard deviations below the mean of the baseline distribution of orientation and episodic memory scores. Incidence rates and rate ratios for cognitive impairment were estimated according to key demographic, social, and health-related factors, adjusted for age, sex/gender, and country of birth. RESULTS: The incidence of cognitive impairment was 25.7/1,000 person-years (PY; 95% confidence interval [CI]: 23.0-28.8), weighted for mortality (12%) and attrition (6%) over the 3.5-year mean follow-up (range: 1.5-4.8 years). Incidence increased with age, from 8.9/1,000 PY (95% CI: 5.2-16.8) among those aged 40-44 to 93.5/1,000 PY (95% CI: 75.9-116.3) among those aged 80+, and age-specific risks were similar by sex/gender. Incidence was strongly associated with formal education and literacy, as well as marital status, household assets, employment, and alcohol consumption but not with history of smoking, hypertension, stroke, angina, heart attack, diabetes, or prevalent HIV. CONCLUSIONS: This study presents some of the first incidence rate estimates for aging-related cognitive impairment in rural South Africa. Social disparities in incident cognitive impairment rates were apparent in patterns similar to those observed in many high-income countries.

Association Between Depressive Symptoms and Incident Cardiovascular Diseases.

Importance: It is uncertain whether depressive symptoms are independently associated with subsequent risk of cardiovascular diseases (CVDs). Objective: To characterize the association between depressive symptoms and CVD incidence across the spectrum of lower mood. Design, Setting, and Participants: A pooled analysis of individual-participant data from the Emerging Risk Factors Collaboration (ERFC; 162 036 participants; 21 cohorts; baseline surveys, 1960-2008; latest follow-up, March 2020) and the UK Biobank (401 219 participants; baseline surveys, 2006-2010; latest follow-up, March 2020). Eligible participants had information about self-reported depressive symptoms and no CVD history at baseline. Exposures: Depressive symptoms were recorded using validated instruments. ERFC scores were harmonized across studies to a scale representative of the Center for Epidemiological Studies Depression (CES-D) scale (range, 0-60; ≥16 indicates possible depressive disorder). The UK Biobank recorded the 2-item Patient Health Questionnaire 2 (PHQ-2; range, 0-6; ≥3 indicates possible depressive disorder). Main Outcomes and Measures: Primary outcomes were incident fatal or nonfatal coronary heart disease (CHD), stroke, and CVD (composite of the 2). Hazard ratios (HRs) per 1-SD higher log CES-D or PHQ-2 adjusted for age, sex, smoking, and diabetes were reported. Results: Among 162 036 participants from the ERFC (73%, women; mean age at baseline, 63 years [SD, 9 years]), 5078 CHD and 3932 stroke events were recorded (median follow-up, 9.5 years). Associations with CHD, stroke, and CVD were log linear. The HR per 1-SD higher depression score for CHD was 1.07 (95% CI, 1.03-1.11); stroke, 1.05 (95% CI, 1.01-1.10); and CVD, 1.06 (95% CI, 1.04-1.08). The corresponding incidence rates per 10 000 person-years of follow-up in the highest vs the lowest quintile of CES-D score (geometric mean CES-D score, 19 vs 1) were 36.3 vs 29.0 for CHD events, 28.0 vs 24.7 for stroke events, and 62.8 vs 53.5 for CVD events. Among 401 219 participants from the UK Biobank (55% were women, mean age at baseline, 56 years [SD, 8 years]), 4607 CHD and 3253 stroke events were recorded (median follow-up, 8.1 years). The HR per 1-SD higher depression score for CHD was 1.11 (95% CI, 1.08-1.14); stroke, 1.10 (95% CI, 1.06-1.14); and CVD, 1.10 (95% CI, 1.08-1.13). The corresponding incidence rates per 10 000 person-years of follow-up among individuals with PHQ-2 scores of 4 or higher vs 0 were 20.9 vs 14.2 for CHD events, 15.3 vs 10.2 for stroke events, and 36.2 vs 24.5 for CVD events. The magnitude and statistical significance of the HRs were not materially changed after adjustment for additional risk factors. Conclusions and Relevance: In a pooled analysis of 563 255 participants in 22 cohorts, baseline depressive symptoms were associated with CVD incidence, including at symptom levels lower than the threshold indicative of a depressive disorder. However, the magnitude of associations was modest.

Cognitive function and cardiometabolic disease risk factors in rural South Africa: baseline evidence from the HAALSI study.

BACKGROUND: Evidence on cognitive function in older South Africans is limited, with few population-based studies. We aimed to estimate baseline associations between cognitive function and cardiometabolic disease risk factors in rural South Africa. METHODS: We use baseline data from "Health and Aging in Africa: A Longitudinal Study of an INDEPTH Community in South Africa" (HAALSI), a population-based study of adults aged 40 and above in rural South Africa in 2015. Cognitive function was measured using measures of time orientation, immediate and delayed recall, and numeracy adapted from the Health and Retirement Study cognitive battery (overall total cognitive score range 0-26). We used multiple linear regression to estimate associations between cardiometabolic risk factors (including BMI, hypertension, dyslipidemia, diabetes, history of stroke, alcohol frequency, and smoking status) and the overall cognitive function score, adjusted for potential confounders. RESULTS: In multivariable-adjusted analyses (n = 3018; male = 1520; female = 1498; median age 59 (interquartile range 50-67)), cardiometabolic risk factors associated with lower cognitive function scores included: diabetes (b = - 1.11 [95% confidence interval: - 2.01, - 0.20] for controlled diabetes vs. no diabetes); underweight BMI (b = - 0.87 [CI: - 1.48, - 0.26] vs. normal BMI); and current and past smoking history compared to never smokers. Factors associated with higher cognitive function scores included: obese BMI (b = 0.74 [CI: 0.39, 1.10] vs. normal BMI); and controlled hypertension (b = 0.53 [CI: 0.11, 0.96] vs. normotensive). CONCLUSIONS: We provide an important baseline from rural South Africa on the associations between cardiometabolic disease risk factors and cognitive function in an older, rural South African population using standardized clinical measurements and cut-offs and widely used cognitive assessments. Future studies are needed to clarify temporal associations as well as patterns between the onset and duration of cardiometabolic conditions and cognitive function. As the South African population ages, effective management of cardiometabolic risk factors may be key to lasting cognitive health.

Socioeconomic gradients in chronic disease risk behaviors in a population-based study of older adults in rural South Africa.

OBJECTIVES: To investigate the associations between household wealth, household consumption, and chronic disease risk behaviors among older adults in rural South Africa. METHODS: Data were from baseline assessments of 5059 adults aged ≥ 40 in the population-based "Health and Aging in Africa: A Longitudinal Study of an INDEPTH Community in South Africa" in 2015. Confounder-adjusted prevalence ratios were estimated for the associations between each of household wealth and household consumption quintiles with low moderate-to-vigorous physical activity (MVPA), current smoking, frequent alcohol intake, and overweight/obese body mass index (BMI). RESULTS: Low MVPA and overweight/obese BMI were common (57% and 58%, respectively), and linearly increased in prevalence across household wealth quintiles. Low MVPA decreased and overweight/obese BMI increased in prevalence across household consumption quintiles. Smoking and frequent alcohol intake were rare (9% and 6%, respectively); they decreased in prevalence across wealth quintiles, but did not vary by consumption quintile. CONCLUSIONS: Chronic disease risk behaviors are socioeconomically graded among older, rural South African adults. The high prevalence of overweight and obesity in rural South Africa is a public health concern requiring urgent attention.

Education modifies the relationship between height and cognitive function in a cross-sectional population-based study of older adults in Rural South Africa.

We aimed to estimate the relationship between height (a measure of early-life cumulative net nutrition) and later-life cognitive function among older rural South African adults, and whether education modified this relationship. Data were from baseline in-person interviews with 5059 adults ≥ 40 years in the population-based "Health and Aging in Africa: A Longitudinal Study of an INDEPTH Community in South Africa" (HAALSI) study in Agincourt sub-district, South Africa, in 2015. Linear regression was used to estimate the relationship between height quintile and latent cognitive function z-score (representing episodic memory, time orientation, and numeracy), with adjustment for life course covariates and a height-by-education interaction. Mean (SD) height was 162.7 (8.9) cm. Nearly half the sample had no formal education (46%; 2307/5059). Mean age- and sex-adjusted cognitive z-scores increased from - 0.68 (95% CI: - 0.76 to - 0.61) in those with no education in the shortest height quintile to 0.62 (95% CI: 0.52-0.71) in those with at least 8 years of education in the tallest height quintile. There was a linear height disparity in cognitive z-scores for those with no formal education (adjusted ß = 0.10; 95% CI: 0.08-0.13 per height quintile), but no height disparity in cognitive z-scores in those with any level of education. Short stature is associated with poor cognitive function and may be a risk factor for cognitive impairment among older adults living in rural South Africa. The height disparity in cognitive function was negated for older adults who had any level of education.

Cardiovascular Disease Profile of the Oldest Adults in Rural South Africa: Data from the HAALSI Study (Health and Aging in Africa: Longitudinal Studies of INDEPTH Communities).

OBJECTIVES: To characterize the cardiovascular disease (CVD) profile of individuals aged 80 and older in rural South Africa. DESIGN: First wave of population-based longitudinal cohort. SETTING: Agincourt subdistrict (Mpumalanga Province) in rural South Africa. PARTICIPANTS: Adults residents (N = 5,059). MEASUREMENTS: In-person interviews were conducted to obtain social, behavioral, economic, and clinical data. Prevalence of hypertension, diabetes, dyslipidemia, high waist-to-hip ratio, overweight and obesity, high-risk high-sensitivity C-reactive protein, smoking, stroke, myocardial infarction, angina pectoris, and heart failure in individuals younger than 65, aged 65 to 79, and aged 80 and older were compared. Associations between self-reported treatments and determinants of hypertension treatment in those aged 80 and older were assessed using multivariable regression. RESULTS: Of 5,059 individuals included, 549 (10.8%) were aged 80 and older, and their CVD prevalence was 17.9% (stroke 3.8%, myocardial infarction 0.5%, angina pectoris 13.5%, heart failure 0.7%). Hypertension prevalence in this group was 73.8%, and along with angina pectoris, it increased with age (p<.001), whereas overweight and obesity (46.4%), dyslipidemia (39.1%), and smoking prevalences (3.1%) decreased (p<.001). Hypertension treatment was significantly associated with being aged 80 and older (odds ratio (OR)=1.48; 95% confidence interval (CI)=1.14-1.92, p=.003). Male sex (OR=0.73, 95% CI=0.66-0.88, p=.001), being an immigrant (OR=0.80, 95% CI=0.65-0.98; p=.03), higher socioeconomic status (OR=1.28, 95% CI=1.06-1.53, p=.009), and higher depression score (OR=1.12, 95% CI=1.05-1.19, p<.001) were associated with hypertension treatment in those aged 80 and older. CONCLUSION: This is the first study to characterize the CVD profile of individuals aged 80 and older in sub-Saharan Africa and provides baseline data for comparison with future studies in this rapidly growing age group. J Am Geriatr Soc 66:2151-2157, 2018.

What Explains Socioeconomic Differences in the Speed of Heart Rate Recovery to Postural Challenge?

BACKGROUND: Much recent work has focused on the value of heart rate recovery (HRR) as a marker of cardiovascular health and a predictor of mortality. This article explores socioeconomic variation in HRR following exposure to a potent physiological stressor. METHODS: The sample involved a nationally representative cohort of 4,475 community-dwelling older persons aged 50 years and older participating in the Irish Longitudinal Study on Ageing (TILDA). Participants completed an active stand (ie, vertical stand from a supine position) as part of a detailed clinic-based cardiovascular health assessment. Beat-to-beat HRR to standing was monitored over a 2-minute time horizon using a finometer. Highest level of educational achievement served as the indicator variable for socioeconomic status and mediation analysis was undertaken to explore the pathways through which social inequality comes to affect the speed of HRR using the extensive array of covariates available in TILDA. RESULTS: Participants with primary level education were characterized by a significantly slower HRR after standing compared with the tertiary educated (B = -1.15 bpm, CI95 = -1.78, -0.52; p < .001). Mediation analysis revealed that lifetime smoking accounted for a sizeable proportion (40.4%) of the educational differential. Adjustment for other objectively measured markers of lifestyle measured during the clinic visit accounted for only a small proportion (5.2%) of the difference. DISCUSSION: Smoking may represent a major pathway through which the social environment becomes biologically embedded in the tissues and organs of the body precipitating earlier vascular ageing among more socially disadvantaged groups, emphasizing the need to address the causes of these inequalities.

Cognitive Function in Low-Income and Low-Literacy Settings: Validation of the Tablet-Based Oxford Cognitive Screen in the Health and Aging in Africa: A Longitudinal Study of an INDEPTH Community in South Africa (HAALSI).

OBJECTIVES: 1. Assess validity of the Oxford Cognitive Screen (OCS-Plus), a domain-specific cognitive assessment designed for low-literacy settings, especially in low- and middle-income countries (LMIC); 2. Advance theoretical contributions in cognitive neuroscience in domain-specific cognitive function and cognitive reserve, especially related to dementia. METHOD: In a cross-sectional study of a sample of 1,402 men and women aged 40-79 in the Health and Aging in Africa: A Longitudinal Study of an INDEPTH Community in South Africa (HAALSI), we administered OCS-Plus along with health and sociodemographic assessments. HAALSI is a representative sample of older adults in Agincourt, South Africa contributing to normative understanding of cognition in LMIC. We report measure distributions, construct and external validity of the OCS-Plus. RESULTS: OCS-Plus has excellent construct and external validity. Intra-class correlations between similar basic measures of orientation in OCS-Plus and in HAALSI assessments was 0.79, and groups of people performing well on the OCS-Plus verbal memory also showed superior performance on HAALSI verbal memory. The OCS-Plus scores showed consistent associations with age and education and domain-specific associations with alcohol and depression. Younger respondents and the more educated did better on all assessments. DISCUSSION: The OCS-Plus represents a major methodological advance in dementia studies in LMICs, and enhances understanding of cognitive aging.

Work-Family Trajectories and the Higher Cardiovascular Risk of American Women Relative to Women in 13 European Countries.

OBJECTIVES: To investigate whether less-healthy work-family life histories contribute to the higher cardiovascular disease prevalence in older American compared with European women. METHODS: We used sequence analysis to identify distinct work-family typologies for women born between 1935 and 1956 in the United States and 13 European countries. Data came from the US Health and Retirement Study (1992-2006) and the Survey of Health, Aging, and Retirement in Europe (2004-2009). RESULTS: Work-family typologies were similarly distributed in the United States and Europe. Being a lone working mother predicted a higher risk of heart disease, stroke, and smoking among American women, and smoking for European women. Lone working motherhood was more common and had a marginally stronger association with stroke in the United States than in Europe. Simulations indicated that the higher stroke risk among American women would only be marginally reduced if American women had experienced the same work-family trajectories as European women. CONCLUSIONS: Combining work and lone motherhood was more common in the United States, but differences in work-family trajectories explained only a small fraction of the higher cardiovascular risk of American relative to European women.

Effects on cigarette consumption of a work-family supportive organisational intervention: 6-month results from the work, family and health network study.

BACKGROUND: Observational studies have linked work-family issues with cigarette consumption. This study examined the 6-month effects on cigarette consumption of a work-family supportive organisational intervention among nursing home workers. METHODS: Group randomised controlled trial where 30 nursing homes across New England states were randomly assigned to either usual practice or to a 4-month intervention aimed at reducing work-family conflict via increased schedule control and family supportive supervisory behaviours (FSSB). Cigarette consumption was based on self-reported number of cigarettes per week, measured at the individual level. RESULTS: A total of 1524 direct-care workers were enrolled in the trial. Cigarette consumption was prevalent in 30% of the sample, consuming an average of 77 cigarettes/week. Smokers at intervention sites reduced cigarette consumption by 7.12 cigarettes, while no reduction was observed among smokers at usual practice sites (b=-7.12, 95% CI -13.83 to -0.40, p<0.05) (d=-0.15). The majority of smokers were US-born White nursing assistants, and among this subgroup, the reduction in cigarette consumption was stronger (b=-12.77, 95% CI -22.31 to -3.22, p<0.05) (d=-0.27). Although the intervention prevented a decline in FSSB (d=0.08), effects on cigarette consumption were not mediated by FSSB. CONCLUSIONS: Cigarette consumption was reduced among smokers at organisations where a work-family supportive intervention was implemented. This effect, however, was not explained by specific targets of the intervention, but other psychosocial pathways related to the work-family interface. TRIAL REGISTRATION NUMBER: NCT02050204; results.

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.

Use of life course work-family profiles to predict mortality risk among US women.

OBJECTIVES: We examined relationships between US women's exposure to midlife work-family demands and subsequent mortality risk. METHODS: We used data from women born 1935 to 1956 in the Health and Retirement Study to calculate employment, marital, and parenthood statuses for each age between 16 and 50 years. We used sequence analysis to identify 7 prototypical work-family trajectories. We calculated age-standardized mortality rates and hazard ratios (HRs) for mortality associated with work-family sequences, with adjustment for covariates and potentially explanatory later-life factors. RESULTS: Married women staying home with children briefly before reentering the workforce had the lowest mortality rates. In comparison, after adjustment for age, race/ethnicity, and education, HRs for mortality were 2.14 (95% confidence interval [CI] = 1.58, 2.90) among single nonworking mothers, 1.48 (95% CI = 1.06, 1.98) among single working mothers, and 1.36 (95% CI = 1.02, 1.80) among married nonworking mothers. Adjustment for later-life behavioral and economic factors partially attenuated risks. CONCLUSIONS: Sequence analysis is a promising exposure assessment tool for life course research. This method permitted identification of certain lifetime work-family profiles associated with mortality risk before age 75 years.

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

BACKGROUND: Sensitive general cardiometabolic risk assessment tools of modifiable risk factors would be helpful and practical in a range of primary prevention interventions or for preventive health maintenance. PURPOSE: To develop and validate a cumulative general cardiometabolic risk score that focuses on non-self-reported modifiable risk factors such as glycosylated hemoglobin (HbA1c) and BMI so as to be sensitive to small changes across a span of major modifiable risk factors, which may not individually cross clinical cut-off points for risk categories. METHODS: We prospectively followed 2,359 cardiovascular disease (CVD)-free subjects from the Framingham offspring cohort over a 14-year follow-up. Baseline (fifth offspring examination cycle) included HbA1c and cholesterol measurements. Gender-specific Cox proportional hazards models were considered to evaluate the effects of non-self-reported modifiable risk factors (blood pressure, total cholesterol, high-density lipoprotein cholesterol, smoking, BMI, and HbA1c) on general CVD risk. We constructed 10-year general cardiometabolic risk score functions and evaluated its predictive performance in 2012-2013. RESULTS: HbA1c was significantly related to general CVD risk. The proposed cardiometabolic general CVD risk model showed good predictive performance as determined by cross-validated discrimination (male C-index=0.703, 95% CI=0.668, 0.734; female C-index=0.762, 95% CI=0.726, 0.801) and calibration (lack-of-fit chi-square=9.05 [p=0.338] and 12.54 [p=0.128] for men and women, respectively). CONCLUSIONS: This study presents a risk factor algorithm that provides a convenient and informative way to quantify cardiometabolic risk on the basis of modifiable risk factors that can motivate an individual's commitment to prevention and intervention.

Racial/ethnic and gender differences in the association between self-reported experiences of racial/ethnic discrimination and inflammation in the CARDIA cohort of 4 US communities.

Inflammation is etiologically implicated in cardiometabolic diseases for which there are known racial/ethnic disparities. Prior studies suggest there may be an association between self-reported experiences of racial/ethnic discrimination and inflammation, particularly C-reactive protein (CRP). It is not known whether that association is influenced by race/ethnicity and gender. In separate hierarchical linear models with time-varying covariates, we examined that association among 901 Black women, 614 Black men, 958 White women, and 863 White men in the Coronary Artery Risk Development in Young Adults (CARDIA) study in four US communities. Self-reported experiences of racial/ethnic discrimination were ascertained in 1992-93 and 2000-01. Inflammation was measured as log-transformed CRP in those years and 2005-06. All analyses were adjusted for blood pressure, plasma total cholesterol, triglycerides, homeostatic model assessment for insulin resistance (HOMA-IR), age, education, and community. Our findings extend prior research by suggesting that, broadly speaking, self-reported experiences of racial/ethnic discrimination are associated with inflammation; however, this association is complex and varies for Black and White women and men. Black women reporting 1 or 2 experiences of discrimination had higher levels of CRP compared to Black women reporting no experiences of discrimination (ß = 0.141, SE = 0.062, P < 0.05). This association was not statistically significant among Black women reporting 3 or more experiences of discrimination and not independent of modifiable risks (smoking and obesity) in the final model. White women reporting 3 or more experiences of discrimination had significantly higher levels of CRP compared to White women reporting no experiences of discrimination independent of modifiable risks in the final model (ß = 0.300, SE = 0.113, P < 0.01). The association between self-reported experiences of racial/ethnic discrimination and CRP was not statistically significant among Black and White men reporting 1 or 2 experiences of discrimination. Further research in other populations is needed.

Assessing the relationship between work-family conflict and smoking.

OBJECTIVES: We examined the relationship between smoking and work-family conflict among a sample of New England long-term-care facility workers. METHODS: To collect data, we conducted in-person, structured interviews with workers in 4 extended-care facilities. RESULTS: There was a strong association between smoking likelihood and work-family conflict. Workers who experienced both stress at home from work issues (i.e., work-to-home conflict) and stress at work from personal issues (i.e., home-to-work conflict) had 3.1 times higher odds of smoking than those who did not experience these types of conflict. Workers who experienced home-to-work conflict had an odds of 2.3 compared with those who did not experience this type of conflict, and workers who experienced work-to-home conflict had an odds of 1.6 compared with workers who did not experience this type of conflict. CONCLUSIONS: The results of this study indicate that there is a robust relationship between work-family conflict and smoking, but that this relationship is dependent upon the total amount of conflict experienced and the direction of the conflict.

Socioeconomic status, structural and functional measures of social support, and mortality: The British Whitehall II Cohort Study, 1985-2009.

The authors examined the associations of social support with socioeconomic status (SES) and with mortality, as well as how SES differences in social support might account for SES differences in mortality. Analyses were based on 9,333 participants from the British Whitehall II Study cohort, a longitudinal cohort established in 1985 among London-based civil servants who were 35-55 years of age at baseline. SES was assessed using participant's employment grades at baseline. Social support was assessed 3 times in the 24.4-year period during which participants were monitored for death. In men, marital status, and to a lesser extent network score (but not low perceived support or high negative aspects of close relationships), predicted both all-cause and cardiovascular mortality. Measures of social support were not associated with cancer mortality. Men in the lowest SES category had an increased risk of death compared with those in the highest category (for all-cause mortality, hazard ratio = 1.59, 95% confidence interval: 1.21, 2.08; for cardiovascular mortality, hazard ratio = 2.48, 95% confidence interval: 1.55, 3.92). Network score and marital status combined explained 27% (95% confidence interval: 14, 43) and 29% (95% confidence interval: 17, 52) of the associations between SES and all-cause and cardiovascular mortality, respectively. In women, there was no consistent association between social support indicators and mortality. The present study suggests that in men, social isolation is not only an important risk factor for mortality but is also likely to contribute to differences in mortality by SES.

The impact of tobacco control policies on disparities in children's secondhand smoke exposure: a comparison of methods.

To examine the impact of cigarette excise taxes and smoke-free legislation on tobacco use among households with school-age children and adolescents as well as disparities in children's secondhand smoke exposure. We compare the results from models using causal inference techniques to those from cross-sectional models. We linked families of 6-17-year-olds from the 2003 (N = 67,607) and 2007 (N = 62,768) contacts of the National Survey of Children's Health with state-level cigarette excise taxes and smoke-free legislation total score (0 [none]-32 [very strong]) in 2001 and 2005. Parents reported whether anyone in the household used tobacco products. In adjusted causal inference models every $1.00 increase in cigarette excise tax between 2001 and 2005 was associated with a 4 percentage point decrease in household tobacco use between 2003 and 2007 (p = 0.008); however, there was no effect of smoke-free legislation on household tobacco use. Significant interactions revealed that cigarette tax increases were only associated with reductions in household tobacco use for parents of white children and, separately, lower income households. In contrast, in adjusted cross-sectional models, a higher smoke-free legislation total score was associated with a lower prevalence of household tobacco use. Stronger cigarette excise taxes decrease tobacco use among households with school-age children and adolescents, but smoke-free legislation at the state level does not change parental smoking. Since cross-sectional models cannot assess the direction of causality, evaluations should employ causal inference methods to help inform policy decisions to reduce disparities in adult smoking and, ultimately, protect children from secondhand smoke.