Social integration and risk of mortality among African-Americans: the Jackson heart study.

OBJECTIVE: Evidence suggests that greater social integration is related to lower mortality rates. However, studies among African-Americans are limited. We examined whether higher social integration was associated with lower mortality in 5306 African-Americans from the Jackson Heart Study, who completed the Berkman-Syme Social Network Index in 2000-2004 and were followed until 2018. METHODS: We estimated hazard ratios (HR) of mortality by categories of the Social Network Index (i.e., high social isolation, moderate social isolation [reference group], moderate social integration, high social integration) using Cox proportional hazard models. Covariates included baseline sociodemographics, depressive symptoms, health conditions, and health behaviors. RESULTS: Compared with moderate isolation, moderate integration was associated with an 11% lower mortality rate (HR = 0.89, 95% confidence interval [CI] 0.77, 1.03), and high integration was associated with a 25% lower mortality rate (HR = 0.75, 95% CI 0.64, 0.87), controlling for sociodemographics and depressive symptoms; compared with moderate isolation, high isolation was related to a 34% higher mortality rate (HR = 1.34, 95% CI 1.00, 1.79). Further adjustment of potential mediators (health conditions and health behaviors) only slightly attenuated HRs (e.g., HRmoderate integration = 0.90, 95% CI 0.78, 1.05; HRhigh integration = 0.77, 95% CI 0.66, 0.89). CONCLUSION: Social integration may be a psychosocial health asset with future work needed to identify biobehavioral processes underlying observed associations with mortality among African-Americans.

Depression, smoking, and lung cancer risk over 24 years among women.

BACKGROUND: Studies evaluating depression's role in lung cancer risk revealed contradictory findings, partly because of the small number of cases, short follow-up periods, and failure to account for key covariates including smoking exposure. We investigated the association of depressive symptoms with lung cancer risk in a large prospective cohort over 24 years while considering the role of smoking. METHODS: Women from the Nurses' Health Study completed measures of depressive symptoms, sociodemographics, and other factors including smoking in 1992 (N = 42 913). Depressive symptoms were also queried in 1996 and 2000, whereas regular antidepressant use and physician-diagnosed depression were collected starting in 1996. Multivariable Cox regression models estimated hazard ratios (HRs) and 95% confidence intervals (CIs) of lung cancer risk until 2016. RESULTS: We identified 1009 cases of lung cancer. Women with the highest v. lowest level of depressive symptoms had an increased lung cancer risk (HRsociodemographics-adjusted = 1.62, 95% CI 1.34-1.95; HRfully-adjusted = 1.25, 95% CI 1.04-1.51). In a test of mediation, lifetime pack-years of smoking accounted for 38% of the overall association between depressive symptoms and disease risk. When stratifying by smoking status, the elevated risk was evident among former smokers but not current or never smokers; however, the interaction term suggested no meaningful differences across groups (p = 0.29). Results were similar or stronger when considering time-updated depression status (using depressive symptoms, physician diagnosis, and regular antidepressant use) and chronicity of depressive symptoms. CONCLUSIONS: These findings suggest that greater depressive symptoms may contribute to lung cancer incidence, directly and indirectly via smoking habits, which accounted for over a third of the association.

Childhood socioeconomic status, healthy lifestyle, and colon cancer risk in a cohort of U.S. women.

Colon cancer is the third most common cancer in the US. While the socioeconomic status -health gradient has been established, findings linking adult socioeconomic status to colon cancer incidence specifically are mixed. Considering childhood socioeconomic status (CSES) and relevant risk factors, including related lifestyle behaviors, may provide more insight. At baseline in 1976, women from the Nurses' Health Study reported CSES as defined by parents' occupation when participants were age 16. Lifestyle-related factors (i.e., physical activity, body mass index, diet, alcohol, and tobacco consumption) were self-reported in 1988 or 1990, and every 4 years thereafter until 2016. Cox regression models estimated hazards ratio (HR) and 95% confidence intervals (CIs) of adopting an unhealthy lifestyle (N = 22,507) and developing colon cancer (N = 100,921) between 1976 and 2016, separately, across parents' occupation levels. During follow-up, 2342 cases of colon cancer occurred. Compared to women whose parents were white collar workers, women whose parents were farmers had lower colon cancer risk (HR = 0.84; 95%CI: 0.72, 0.98), but no differences were evident for women whose parents were blue collar workers in models adjusting for age and familial history of colon cancer. Using the same comparison group, risk of adopting an unhealthy lifestyle over follow-up was not significantly different in women with farmer parents (HR = 0.96, 95% CI: 0.91, 1.02), while children of blue collar workers had slightly greater risk (HR = 1.07; 95%CI: 1.03, 1.12) in age-adjusted models. These findings suggest the impact of CSES on colon cancer risk is modest and varies across outcomes and occupational status.

Optimism and risk of mortality among African-Americans: The Jackson heart study.

Optimism is associated with reduced mortality risk among Whites, but evidence for this relationship is limited among African-Americans, whose life expectancy is shorter than Whites. This study examined the association between optimism and mortality rate in African-Americans. Data were from African-American women (n = 2652) and men (n = 1444) in the United States from the Jackson Heart Study. Optimism was measured using the Life Orientation Test-Revised at the baseline period (2000-2004), and mortality data were obtained until 2018. Using Cox proportional hazards models, we estimated hazard ratios (HRs) of mortality by optimism level, controlling for sociodemographic factors, depressive symptoms, health conditions, and health behaviors. In secondary analyses, we evaluated potential effect modification by sex, age, income, and education. Higher optimism was related to lower mortality rates (HR = 0.85, 95% confidence interval [CI] = 0.74, 0.99), controlling for sociodemographic factors and depressive symptoms. After further adjusting for health conditions and health behaviors, associations were slightly attenuated (HR = 0.89; 95%CI = 0.77, 1.02). Stronger associations between optimism and mortality were observed in men, among those with higher income or education, and with age ≤ 55 (all p's for interaction terms <0.06). In summary, optimism was associated with lower mortality rates among African-Americans in the Jackson Heart Study. Effect modification by sociodemographic factors should be further explored in additional research considering optimism and mortality in diverse populations. Positive factors, such as optimism, may provide important health assets that can complement ongoing public health efforts to reduce health disparities, which have traditionally focused primarily on risk factors.

Dispositional optimism and depression risk in older women in the Nurses´ Health Study: a prospective cohort study.

Dispositional optimism is a potentially modifiable factor and has been associated with multiple physical health outcomes, but its relationship with depression, especially later in life, remains unclear. In the Nurses´ Health Study (n = 33,483), we examined associations between dispositional optimism and depression risk in women aged 57-85 (mean = 69.9, SD = 6.8), with 4,051 cases of incident depression and 10 years of follow-up (2004-2014). We defined depression as either having a physician/clinician-diagnosed depression, or regularly using antidepressants, or the presence of severe depressive symptoms using validated self-reported scales. Age- and multivariable-adjusted Cox proportional hazards models were used to estimate hazard ratios (HRs) with 95% confidence intervals (95% CIs) across optimism quartiles and for a 1-standard deviation (SD) increment of the optimism score. In sensitivity analyses we explored more restrictive definitions of depression, potential mediators, and moderators. In multivariable-adjusted models, women with greater optimism (top vs. bottom quartile) had a 27% (95%CI = 19-34%) lower risk of depression. Every 1-SD increase in the optimism score was associated with a 15% (95%CI = 12-18%) lower depression risk. When applying a more restrictive definition for clinical depression, the association was considerably attenuated (every 1-SD increase in the optimism score was associated with a 6% (95%CI = 2-10%-) lower depression risk. Stratified analyses by baseline depressive symptoms, age, race, and birth region revealed comparable estimates, while mediators (emotional support, social network size, healthy lifestyle), when combined, explained approximately 10% of the optimism-depression association. As social and behavioral factors only explained a small proportion of the association, future research should investigate other potential pathways, such as coping strategies, that may relate optimism to depression risk.

Optimism is associated with exceptional longevity in 2 epidemiologic cohorts of men and women.

Most research on exceptional longevity has investigated biomedical factors associated with survival, but recent work suggests nonbiological factors are also important. Thus, we tested whether higher optimism was associated with longer life span and greater likelihood of exceptional longevity. Data are from 2 cohorts, women from the Nurses' Health Study (NHS) and men from the Veterans Affairs Normative Aging Study (NAS), with follow-up of 10 y (2004 to 2014) and 30 y (1986 to 2016), respectively. Optimism was assessed using the Life Orientation Test-Revised in NHS and the Revised Optimism-Pessimism Scale from the Minnesota Multiphasic Personality Inventory-2 in NAS. Exceptional longevity was defined as survival to age 85 or older. Primary analyses used accelerated failure time models to assess differences in life span associated with optimism; models adjusted for demographic confounders and health conditions, and subsequently considered the role of health behaviors. Further analyses used logistic regression to evaluate the likelihood of exceptional longevity. In both sexes, we found a dose-dependent association of higher optimism levels at baseline with increased longevity (P trend < 0.01). For example, adjusting for demographics and health conditions, women in the highest versus lowest optimism quartile had 14.9% (95% confidence interval, 11.9 to 18.0) longer life span. Findings were similar in men. Participants with highest versus lowest optimism levels had 1.5 (women) and 1.7 (men) greater odds of surviving to age 85; these relationships were maintained after adjusting for health behaviors. Given work indicating optimism is modifiable, these findings suggest optimism may provide a valuable target to test for strategies to promote longevity.

Optimism and Longevity Among Japanese Older Adults.

Background: Optimism has been linked to better physical health across various outcomes, including greater longevity. However, most evidence is from Western populations, leaving it unclear whether these relationships may generalize to other cultural backgrounds. Using secondary data analysis, we evaluated the associations of optimism among older Japanese adults. Methods: Data were from a nationwide cohort study of Japanese older adults aged ≥65 years (Japan Gerontological Evaluation Study; n = 10,472). In 2010, optimism and relevant covariates (i.e., sociodemographic factors, physical health conditions, depressive symptoms, and health behaviors) were self-reported. Optimism was measured using the Japanese version of the Life Orientation Test-Revised (LOT-R). Lifespan was determined using mortality information from the public long-term care insurance database through 2017 (7-year follow-up). Accelerated failure time models examined optimism (quintiles or standardized continuous scores) in relation to percent differences in lifespan. Potential effect modification by gender, income, and education was also investigated. Results: Overall, 733 individuals (7%) died during the follow-up period. Neither continuous nor categorical levels of optimism were associated with lifespan after progressive adjustment for covariates (e.g., in fully-adjusted models: percent differences in lifespan per 1-SD increase in continuous optimism scores= -1.2%, 95%CI: -3.4, 1.1 higher versus lower optimism quintiles= -4.1%, 95%CI: -11.2, 3.6). The association between optimism and lifespan was null across all sociodemographic strata as well. Conclusion: Contrary to the existing evidence from Western populations, optimism was unrelated to longevity among Japanese older adults. The association between optimism, as evaluated by the LOT-R, and longevity may differ across cultural contexts.

Specificity in Associations of Anger Frequency and Expression With Different Causes of Mortality Over 20 Years.

OBJECTIVE: Although evidence has linked anger and hostility with all-cause mortality risk, less research has examined whether anger frequency and expression (outwardly expressing angry feelings) are linked to all-cause and cause-specific mortality. METHODS: In 1996, men (n = 17,352) free of medical conditions from the Health Professionals Follow-Up Study reported anger frequency and aggressive expression levels. Deaths were ascertained from participants' families, postal authorities, and death registries. Cox proportional hazards regression models estimated hazard ratios (HRs) and 95% confidence intervals (CIs) of mortality risk until 2016 with a 2-year lag, adjusting for a range of relevant covariates. RESULTS: There were 4881 deaths throughout follow-up. After adjustment for sociodemographics and health status, moderate and higher (versus lower) levels of anger frequency and aggressive expression were generally unrelated to the risk of death from all-cause, neurological, or respiratory diseases. However, cardiovascular mortality risk was greater with higher anger frequency (HR = 1.17, 95% CI = 1.01-1.34), whereas cancer mortality risk was greater with higher anger expression (HR = 1.14, 95% CI = 0.98-1.33). Results were similar after including all covariates and stronger when considering anger expression's interaction with frequency. CONCLUSIONS: In this cohort of men, experiencing angry feelings and expressing them aggressively were related to an increased risk of dying from cardiovascular disease and cancer but not from other specific causes, over two decades. These results suggest that not only the experience of negative emotions but also how they are managed may be critical for some but not all health outcomes, highlighting the importance of considering causes of death separately when investigating psychosocial determinants of mortality.

Social Media as an Emerging Data Resource for Epidemiologic Research: Characteristics of Regular and Nonregular Social Media Users in Nurses' Health Study II.

With advances in natural language processing and machine learning, researchers are leveraging social media as a low-cost, low-burden method for measuring various psychosocial factors. However, it is unclear whether information derived from social media is generalizable to broader populations, especially middle-aged and older adults. Using data on women aged 53-70 years from Nurses' Health Study II (2017-2018; n = 49,045), we assessed differences in sociodemographic characteristics, health conditions, behaviors, and psychosocial factors between regular and nonregular users of Facebook (Facebook, Inc., Menlo Park, California). We evaluated effect sizes with phi (φ) coefficients (categorical data) or Cohen's d (continuous data) and calculated odds ratios with 95% confidence intervals. While most comparisons between regular and nonregular users achieved statistical significance in this large sample, effect sizes were mostly "very small" (conventionally defined as φ or d <0.01) (e.g., optimism score: meanregular users = 19 vs. meannonregular users = 19 (d = -0.03); physical activity: meanregular users = 24 metabolic equivalent of task (MET)-hours/week vs. meannonregular users = 24 MET-hours/week (d = 0.01)). Some factors had slightly larger differences for regular users versus nonregular users (e.g., depression: 28% vs. 23% (φ = 0.05); odds ratio = 1.27 (95% confidence interval: 1.22, 1.33); obesity: 34% vs. 26% (φ = 0.07); odds ratio = 1.42 (95% confidence interval: 1.36, 1.48)). Results suggest that regular Facebook users were similar to nonregular users across sociodemographic and psychosocial factors, with modestly worse health regarding obesity and depressive symptoms. In future research, investigators should evaluate other demographic groups.

Current recommendations on the selection of measures for well-being.

Measures of well-being have proliferated over the past decades. Very little guidance has been available as to which measures to use in what contexts. This paper provides a series of recommendations, based on the present state of knowledge and the existing measures available, of what measures might be preferred in which contexts. The recommendations came out of an interdisciplinary workshop on the measurement of well-being. The recommendations are shaped around the number of items that can be included in a survey, and also based on the differing potential contexts and purposes of data collection such as, for example, government surveys, or multi-use cohort studies, or studies specifically about psychological well-being. The recommendations are not intended to be definitive, but to stimulate discussion and refinement, and to provide guidance to those relatively new to the study of well-being.

The Association of Optimism with Sleep Duration and Quality: Findings from the Coronary Artery Risk and Development in Young Adults (CARDIA) Study.

Optimism is associated with better health outcomes with hypothesized effects due in part to optimism's association with restorative health processes. Limited work has examined whether optimism is associated with better quality sleep, a major restorative process. We test the hypothesis that greater optimism is associated with more favorable sleep quality and duration. Main analyses included adults aged 32-51 who participated in the Coronary Artery Risk Development in Young Adults (CARDIA) study (n = 3,548) during the fifth (Year 15: 2000-2001) and sixth (Year 20: 2005-2006) follow-up visits. Optimism was assessed using the revised Life-Orientation Test. Self-report measures of sleep quality and duration were obtained twice 5 years apart. A subset of CARDIA participants (2003-2005) additionally provided actigraphic data and completed the Pittsburgh Sleep Quality Index (PSQI) and Epworth Sleepiness Scale (ESS). Multivariate regression analyses were used to examine associations of optimism and sleep indicators. In cross-sectional analyses of 3548 participants, each standard deviation (SD) higher optimism score resulted in 78% higher odds of self-reporting very good sleep quality. Prospectively, a 1-SD higher optimism score was related to higher odds of reporting persistently good sleep quality across 5-years relative to those with persistently poor sleep [OR = 1.31; 95%CI:1.10,1.56]. In participant with supplementary data, each SD higher optimism score was marginally associated with 22% greater odds of favorable sleep quality [OR = 1.22; 95%CI:1.00,1.49] as measured by the PSQI, with possible mediation by depressive symptoms. Optimism was unrelated to objective actigraphic sleep data. Findings support a positive cross-sectional and prospective association between optimism and self-reported sleep behavior.

Optimism and Healthy Aging in Women and Men.

Mounting evidence indicates that there are specific associations between higher levels of optimism and healthier behaviors, reduced risk of chronic diseases, and lower mortality. Yet, for public health purposes, it is critical to consider how optimism might be related to a full scope of health conditions in aging-from cognitive to physical health. Using prospective data from the Health and Retirement Study (n = 5,698), we examined whether higher baseline optimism was associated with subsequent increased likelihood of maintaining healthy aging over 6-8 years of follow-up. Optimism was assessed at study baseline (2006 or 2008), and components of healthy aging were assessed every 2 years, defined as: 1) remaining free of major chronic diseases; 2) having no cognitive impairment; and 3) good physical functioning. Hazard ratios were obtained using Cox proportional hazards models, and a range of relevant covariates were considered (sociodemographic factors, depressive symptoms, and health behaviors). After adjusting for sociodemographic factors and depression, the most (top quartile) versus least (bottom quartile) optimistic participants had a 24% increased likelihood of maintaining healthy aging (95% CI: 1.11, 1.38). Further adjustment for health behaviors did not meaningfully change the findings. Optimism, a potentially modifiable health asset, merits further research for its potential to improve likelihood of health in aging.

Placing prostate cancer disparities within a psychosocial context: challenges and opportunities for future research.

Black men are more likely to be diagnosed with prostate cancer compared with White men. Despite advances in prevention and treatment strategies, disparities in prostate cancer among Black men persist. While research on the causes of higher incidence and mortality is ongoing, there is limited evidence in the existing literature that clearly speaks to the potential psychological or social factors that may contribute to disparities in prostate cancer incidence. Given the lack of attention to this issue, we review scientific evidence of the ways in which social factors, including socioeconomic status and racial segregation, as well as psychological factors, like depression and anxiety, are related to subsequent prostate cancer risk, which could occur through behavioral and biological processes. Our objective is to illuminate psychosocial factors and their context, using a racial disparity lens, which suggests opportunities for future research on the determinants of prostate cancer. Ultimately, we aim to contribute to a robust research agenda for the development of new prostate cancer prevention measures to reduce racial disparities.

The Mind-Body Study: study design and reproducibility and interrelationships of psychosocial factors in the Nurses' Health Study II.

PURPOSE: Associations between psychosocial factors and biomarkers are increasingly investigated in studies of cancer incidence and mortality. Documenting optimal data/biospecimen collection protocols and scale properties are fundamental for elucidating the impact of psychosocial factors on biologic systems and ultimately cancer development/progression. METHODS: Between 2013 and 2014, 233 Nurses' Health Study II women (mean age: 60.6) participated in the Mind-Body Study. Participants completed a detailed online psychosocial assessment and provided hair, toenail, timed saliva over 1 day, urine and fasting blood twice, 1 year apart. Additionally, two separate microbiome collections for stool and saliva were conducted between the psychosocial assessments. We assessed correlations between various psychosocial measures and evaluated their 1-year reproducibility using intraclass correlations (ICC). RESULTS: Compliance with the protocols was high among participants. Psychosocial measures showed moderate-to-high reproducibility over 1 year (ICCs = 0.51-0.81). There was clear clustering of psychosocial factors according to whether they were querying positive (e.g., optimism, mastery, mindfulness) or negative (e.g., anxiety, depression, discrimination) emotion-related or social constructs. CONCLUSION: Results suggest feasibility for self-administered collection of various biospecimens and moderate-to-high reproducibility of psychosocial factors. The Mind-Body Study provides a unique resource for assessing inter-relationships between psychosocial factors and biological processes linked with long-term health outcomes, including carcinogenesis.

Social Integration, Marital Status, and Ovarian Cancer Risk: A 20-Year Prospective Cohort Study.

OBJECTIVE: Low social integration and divorce/widowhood are chronic psychosocial stressors that may affect health. When assessed after cancer diagnosis, they have been associated with poorer survival, but their role in cancer development, particularly ovarian cancer (OvCA), is less understood. We investigated whether social integration and marital status were related to OvCA risk in a large population-based study. METHODS: Women from the Nurses' Health Study completed the Berkman-Syme Social Network Index and reported their marital status every 4 years starting in 1992 (N = 72,206), and were followed up until 2012 (20-year follow-up period). Multivariate Cox regression models estimated hazard ratios (HRs) and 95% confidence intervals (CIs) of OvCA risk, considering relevant potential confounders, in lagged analyses whereby psychosocial indicators were assessed 4 to 8 years (n = 436 cases) and 8 to 12 years (n = 306 cases) before diagnosis to account for the effects of prediagnostic symptoms on social measures. Secondary analyses evaluated the stability of and cumulative exposure to these social factors on OvCA risk. RESULTS: Being socially isolated versus integrated was related to an increased OvCA risk 8 to 12 years later (HR = 1.51, 95% CI = 1.07-2.13), but not 4 to 8 years later. Compared with married women, OvCA risk was significantly higher in widowed but not in separated/divorced individuals, with both time periods (e.g., 8-12 years later: HRwidowed = 1.57 [95% CI = 1.15-2.14] versus HRseparated/divorced = 1.13 [95% CI = 0.74-1.72]). Estimates were comparable or stronger when investigating stability in and cumulative effects of social indicators. CONCLUSIONS: Results suggest higher OvCA risk among socially isolated and widowed women, particularly when such psychosocial stressors were experienced a decade before diagnosis or were sustained over time.

Does optimal parenting style help offspring maintain healthy weight into mid-life?

An authoritative parenting style is generally associated with healthier body weight in children and adolescents. However, whether the protective effect of an authoritative style on offspring body weight may persist into adulthood has seldom been investigated. In this study we examined the longitudinal association between parenting style and body mass index (BMI) change in mid-life. Longitudinal data from the Midlife in the United States Study (N = 3929) were analyzed using generalized estimating equations, adjusting for a range of relevant covariates. Parenting styles were assessed at phase I (1995-1996) using items measuring parental warmth and control, while BMI was assessed at phases I and II (2004-2006). Four parenting styles were derived following prior research: authoritative, authoritarian, permissive, and uninvolved styles. Compared to an authoritative style, an authoritarian style was associated with 14% higher increase in the standardized BMI change score (ß = 0.14, 95% confidence interval: 0.03, 0.26). While there was suggestive evidence that an uninvolved versus authoritative style might also be associated with greater BMI increase, we found no differences between a permissive and authoritative style. This study suggested that the protective effect of an authoritative parenting style on offspring body weight may persist well into mid-life, particularly as compared to the authoritarian style and possibly the uninvolved style. Such work may reinforce the importance of a public health focus on improving parenting practices and suggest the value of implementing parenting programs, as one strategy for increasing the likelihood that individuals can maintain healthy weight well into adulthood.

Prospective associations of happiness and optimism with lifestyle over up to two decades.

Greater levels of psychological well-being are associated with reduced disease and mortality risk, and lifestyle habits may be potential mechanisms underlying these relationships. Prospective studies show that positive psychological factors enhance the likelihood of adopting specific health behaviors; yet, whether they promote the adoption of multiple healthy behaviors, which can have a multiplicative effect on disease and mortality risk compared to individual behaviors, is unknown. We investigated whether happiness and optimism were related to a healthy lifestyle (characterized by multiple health behaviors) over 10-22 years of follow-up; we also explored bidirectional associations, assessing if a healthy lifestyle at baseline was related to greater likelihood of experiencing higher happiness and optimism over time. Women reported levels of happiness in 1992 (N = 52,133) and optimism in 2004 (N = 36,802). Health-related behaviors (physical activity, body mass index, diet, alcohol and tobacco consumption) were self-reported and combined into a lifestyle score, every four years from baseline until 2014. Multivariable generalized estimating equations with a Poisson distribution were used. Women with moderate and higher (versus lower) happiness levels were more likely to report sustaining healthy lifestyles (RR = 1.18, CI = 1.11-1.25; RR = 1.39, CI = 1.32-1.46, respectively). In secondary analyses, the magnitude of the inverse association was somewhat smaller (likelihood of sustaining higher happiness levels for baseline healthy versus unhealthy lifestyle, RR = 1.11, CI = 1.10-1.12). Results were similar when considering optimism as the exposure and in other secondary analyses (e.g., across individual habits). While bidirectional associations are apparent, these findings suggest pursuing happiness and optimism as modifiable determinants of lifestyle deserves further consideration.

Psychological well-being as part of the public health debate? Insight into dimensions, interventions, and policy.

BACKGROUND: Increasing evidence suggests that psychological well-being (PWB) is associated with lower disease and mortality risk, and may be enhanced with relatively low-cost interventions. Yet, dissemination of these interventions remains limited, in part because insufficient attention has been paid to distinct PWB dimensions, which may impact physical health outcomes differently. METHODS: This essay first reviews the empirical evidence regarding differential relationships between all-cause mortality and multiple dimensions of PWB (e.g., life purpose, mastery, positive affect, life satisfaction, optimism). Then, individual-level positive psychology interventions aimed at increasing PWB and tested in randomized-controlled trials are reviewed as these allow for easy implementation and potentially broad outreach to improve population well-being, in concert with efforts targeting other established social determinants of health. RESULTS: Several PWB dimensions relate to mortality, with varying strength of evidence. Many of positive psychology trials indicate small-to-moderate improvements in PWB; rigorous institution-level interventions are comparatively few, but preliminary results suggest benefits as well. Examples of existing health policies geared towards the improvement of population well-being are also presented. Future avenues of well-being epidemiological and intervention research, as well as policy implications, are discussed. CONCLUSIONS: Although research in the fields of behavioral and psychosomatic medicine, as well as health psychology have substantially contributed to the science of PWB, this body of work has been somewhat overlooked by the public health community. Yet, the growing interest in documenting well-being, in addition to examining its determinants and consequences at a population level may provoke a shift in perspective. To cultivate optimal well-being-mental, physical, social, and spiritual-consideration of a broader set of well-being measures, rigorous studies, and interventions that can be disseminated is critically needed.

Sleep and survival among women with breast cancer: 30 years of follow-up within the Nurses' Health Study.

This corrects the article DOI: 10.1038/bjc.2017.85.

Sleep and survival among women with breast cancer: 30 years of follow-up within the Nurses' Health Study.

BACKGROUND: Breast cancer is a leading cause of cancer death in women. Sleep has been linked with mortality among cancer-free population; however, its association with survival among women with breast cancer is understudied. METHODS: Breast cancer patients (N=3682) reported their average sleep duration post diagnosis. Subsamples also provided their pre-diagnosis sleep duration (n=1949) and post-diagnosis sleep difficulties (n=1353). Multivariate Cox models estimated hazard ratios (HR) and confidence intervals (CI) of all-cause, breast cancer, and non-breast cancer mortality. RESULTS: At diagnosis, the mean age was 64.9 years and 91.7% were stage I or II. Women sleeping ⩾9 h per night post diagnosis had a strong higher risk of all-cause (multivariate HRs: MV-HR=1.37, CI=1.10-1.71), breast cancer (MV-HR=1.46, CI=1.02-2.07), and non-breast cancer mortality (MV-HR=1.34, CI=1.01-1.79), compared to women sleeping 8 h per night. Increased sleep duration post diagnosis (vs unchanged) and regular sleep difficulties (vs rare/none) were associated with a strong elevated risk of all-cause mortality (MV-HRincreased duration=1.35, CI=1.04-1.74; MV-HRregular difficulties=1.49, CI=1.02-2.19) and a moderate greater risk of breast cancer and non-breast cancer mortality. CONCLUSIONS: Various facets of sleep were associated with higher all-cause mortality risk. If replicated, these findings support evaluation of breast cancer patients' sleep duration and difficulties to identify those at risk for poorer outcomes.