Costs of forced retirement: Measuring the effect of lost work opportunity on health.

OBJECTIVE: Unemployment is a known health stressor that also increases early retirements. This study addresses mixed literature on retiree health and under-reporting of forced retirement to better identify potential health impacts of lost work opportunity. METHODS: A Lost-work Opportunity Score (LOS) was created using variables from the Health and Retirement Study assessing unemployment, forced retirement, and earlier-than-planned retirement for 2,576 respondents. Reliability and unidimensionality of the score with multivariate regression analyses examined health impacts controlling for demographics and prior health status. RESULTS: The LOS possessed unidimensionality with a Cronbach's Alpha of a = 0.76 while predicting self-reported health declines (LOS = 2; ß = .381, OR = 1.464, p < .05) and depression increase (LOS = 2; ß = .417, OR = 1.517, p < .05). CONCLUSIONS: LOS predicts 46% increased odds of negative self-reported health change after retirement associated with 2 LOS events, with implications to support aging workers.

A Mixed-Methods Examination of Lost Occupational Choice in Retirement.

Lost work opportunity and forced retirement demonstrate negative health impacts related to occupational deprivation. Measuring occupational loss during the retirement transition can be problematic. The objective of the study is to clarify measurement of involuntary retirement in its relationship to occupational loss and deprivation. Using an explanatory sequential mixed-methods design, survey data on unemployment, forced retirement, and earlier-than-planned retirement from 195 screened retirees yielded 102 reporting at least one lost work opportunity event, with 18 interviewed about occupational loss within the analytic timeframe. Planned retirement age was similar for full-employment and lost work opportunity groups. Actual retirement age was earlier in the lost work opportunity sample (age 57.5 compared with 61.2). Interviews identified a 22% discrepancy between forced retirement reported in survey versus interview data. Themes emerging from the interviews indicated financial and identity challenges from lost work opportunity, a dialectical trade-off between lost opportunity and daily freedom, and overall resilience.

Job Loss at Retirement Age is UnderreportedRetirement timing can be affected by several factors outside an individual's control, which we can label as forced retirement. Choice in timing is important as forced retirement can negatively impact health. Forced retirement fits an occupational deprivation model which describes how lost occupational opportunity or participation can have a negative impact. The present study found that from a pool of 195 surveyed and 18 interviewed retirees, one fifth of retirees underreported forced retirement. Retirees with lost work opportunities reported financial and identity challenges balanced by the trade-off between lost work and daily freedom. A theme of overall resilience in managing the challenges was notable. The mismeasurement of forced retirement in light of its negative health impact highlights a public health need to better measure lost work opportunity of aging workers to inform policy.

Opioid misuse viewed through person and place in the rural West.

OBJECTIVE: This article overviews the current statistics and factors related to increased rates of opioid use disorder (OUD) in rural areas, uncovering factors that may contribute to increased vulnerability to opioid overdose. We qualitatively review opinions, feelings, and thoughts surrounding this issue in rural areas of Utah, analyzing participant stories in reference to three themes through qualitative interviews, including the solitude of addiction, the beguiling strength of addiction, and one way out of addiction. DESIGN: In 2018, three focus groups were convened with 25 individuals from the rural area. Participants either currently or formerly (selfreported substance free for 6 months or more) experienced OUD with prescription opioids and heroin, or were family members of individuals who currently and formerly experienced OUD. These focus groups addressed current issues in OUDs in a rural Utah community related to person, place, and time. Following the focus groups, six individuals were invited to participate in semi-structured interviews. In-depth, semi-structured interviews queried individual experiences through a phenomenological approach, using a moderator guide with queries focused on identified themes related to the solitude, the intensity, and the difficulty escaping substance use disorder (SUD). Methodology included training community scholars with lived experience and member-checking to ensure phenomenological emphasis. RESULTS: Our qualitative reviews of the experience of OUD and SUD in rural Utah discussed the relevance and the nuance of the three identified themes. The interviewee statements further underscore the solitude, intensity, and difficulty of an individual's journey through SUD, the all-consuming nature of OUD, and the trouble that these factors cause in rural recovery. CONCLUSIONS: We conclude that even during difficult situations in the rural experience with the opioid crisis, hope persists. OUD support in rurality may differ from the expected urban experience and include more coordination with criminal justice workers. Rural Americans have insights to share that could help turn the tide of this crisis.

Boundaries of the Construct of Unemployment in the Preretirement Years: Exploring an Expanded Measurement of Lost-Work Opportunity.

There is uncertainty related to whether retirement negatively affects health-possibly due to complexity around retirement decisions. Lost-work opportunity through unemployment or forced retirement has been shown to negatively affect health. Lost-work opportunity can be captured in two measurement fields, either a reported experience of being forced into retirement or reported unemployment. However, 17% of individuals retiring due to the loss of work opportunity identified in qualitative interviewing (i.e., unemployment, temporary lay-offs, company buy-outs, forced relocations, etc.) do not report this unemployment or involuntary retirement in quantitative survey responses. We propose broadening the conceptualization of late-career unemployment to incorporate other lost work opportunity scenarios. Using the Health and Retirement Study (HRS), a lost-work opportunity score (LOS) was computed from items indicating unemployment and forced or unplanned retirement. Correlations were computed between this LOS and all continuous variables in the RAND longitudinal compilation of the HRS to determine its convergent and discriminant validity. The LOS demonstrated a Chronbach's alpha of α = .82 and had convergent validity with constructs of employment (9 variables), finances (36 variables), and health (14 variables), as predicted by the literature on retirement timing. No other continuous variables in the HRS were identified with a moderate or strong correlation to LOS, demonstrating discriminant validity. Further research should explore whether a combination of variables in the HRS can improve the accuracy of measuring lost-work opportunity. Improved precision in measurement, through an expanded conceptualization of lost-work opportunity, may help explicate the retirement-related factors that affect health, to inform policy and support healthy aging decisions at a societal level.

Health Effects of Late-Career Unemployment.

Objective: Job loss has a demonstrated negative impact on physical and mental health. Involuntary retirement has also been linked to poorer physical and mental health outcomes. This study examined whether late-career unemployment is related to involuntary retirement and health declines postretirement. Method: Analysis was conducted using the 2000-2012 U.S. Health and Retirement Study (HRS) survey data with unemployment months regressed with demographic and baseline health measures on physical and mental health. Results: Individuals with late-career unemployment reported more involuntary retirement timing (47.0%) compared with those reporting no unemployment (27.9%). Late-career unemployment had no significant effect on self-reported physical health (ß = .003, p = .84), but was significantly associated with lower levels of mental health (ß = .039; p < .01). Conclusion: Self-reports of late-career unemployment are not associated with physical health in retirement, but unemployment is associated with involuntary retirement timing and mental health declines in retirement. Unemployment late in the working career should be addressed as a public mental health concern.

Assessing spousal support and health in an aging population: support and strain amidst changing social dynamics.

This study examined the role of relationship quality on physical and psychological health among older adults. It included 2,298 adults aged 50 and older who participated in the Midlife in the US national longitudinal study of health and well-being. We assessed the effect of spousal support and strain on psychological and physical health, controlling for age, education, income, depression levels and prior health. Results indicated that spousal support and strain affected psychological health but not physical health. Despite prior research showing an association between marital quality and physical health, this study did not support the conceptualization that relationship quality measured by spousal support or strain has a direct effect on long-term health in this sample of older adults. This study does not preclude the presence of a mediated or moderated association between relationship quality and physical health. Higher levels of spousal support are associated with positive psychological health among adults over age 50 while spousal strain is associated with negative psychological health. This study supports the premise that relationship quality has an ongoing impact on the psychological health of mature adults, bolstering arguments to include psychological health screening and couples relationship education among health services provided to older adults.

Evaluating the Prediction of Breast Cancer Survival Using Lymph Node Ratio.

PURPOSE: Previous oncological studies showed that lymph node ratio (LNR) (ratio of number of lymph nodes that tested positive for metastasis to the total number of lymph nodes examined) is a negative indicator of cancer survival. The American Joint Committee on Cancer (AJCC) staging system incorporates tumor size, lymph node involvement, and metastasis in a comprehensive model of cancer progression, but LNR alone has been shown to outperform the AJCC system in prognostic and survival predictions for various types of cancer. The effectiveness of LNR has not been evaluated in breast cancer staging. Evaluating LNR for predicting cancer staging in breast cancer has the potential to improve treatment recommendations. METHODS: The Surveillance, Epidemiology, and End Results dataset was used to identify 10,655 breast cancer patients who underwent nodal evaluation from 2010 to 2013, and their LNRs were calculated. Descriptive statistics of lymph node evaluation in the patients are provided. Logistic regression with LNR as the continuous independent variable was conducted to determine whether LNR could predict cancer progression, coded as regional or distant. Analysis was conducted using SPSS version 24. RESULTS: Patient's mean age was 59.43±18.62. Logistic regression analysis revealed that for every 1.3% increase in LNR, the odds of falling into the distant stage of the TNM staging system increased by 13.7% (odds ratio, 14.73; 95% confidence interval, 12.00-18.08). CONCLUSION: LNR, while correlated with breast cancer staging, serves as a better predictor of survival. Precision staging can influence treatment modality, and improved treatments can significantly improve quality of life. Additional research and diagnostic examinations using LNR as a potential tool for accurate staging in breast cancer patients are warranted.

Interpretation of correlations in clinical research.

BACKGROUND: Critically analyzing research is a key skill in evidence-based practice and requires knowledge of research methods, results interpretation, and applications, all of which rely on a foundation based in statistics. Evidence-based practice makes high demands on trained medical professionals to interpret an ever-expanding array of research evidence. OBJECTIVE: As clinical training emphasizes medical care rather than statistics, it is useful to review the basics of statistical methods and what they mean for interpreting clinical studies. METHODS: We reviewed the basic concepts of correlational associations, violations of normality, unobserved variable bias, sample size, and alpha inflation. The foundations of causal inference were discussed and sound statistical analyses were examined. We discuss four ways in which correlational analysis is misused, including causal inference overreach, over-reliance on significance, alpha inflation, and sample size bias. RESULTS: Recent published studies in the medical field provide evidence of causal assertion overreach drawn from correlational findings. The findings present a primer on the assumptions and nature of correlational methods of analysis and urge clinicians to exercise appropriate caution as they critically analyze the evidence before them and evaluate evidence that supports practice. CONCLUSION: Critically analyzing new evidence requires statistical knowledge in addition to clinical knowledge. Studies can overstate relationships, expressing causal assertions when only correlational evidence is available. Failure to account for the effect of sample size in the analyses tends to overstate the importance of predictive variables. It is important not to overemphasize the statistical significance without consideration of effect size and whether differences could be considered clinically meaningful.

Honest Labor Bears a Lovely Face: Will Late-Life Unemployment Impact Health and Satisfaction in Retirement?

OBJECTIVE: Unemployment among older adults during recessionary cycles has been tied to early retirement decisions and negative health outcomes. This study explored episodes of unemployment experienced between age 50 and retirement as predictors of retirement age and health outcomes. METHODS: A total of 1540 participants from the U.S. Health and Retirement Study aged 50 years and older who transitioned from workforce to retirement were analyzed with descriptive statistics and multiple regression controlling for unemployment, demographics, and health status. RESULTS: Late-life unemployment significantly related to earlier retirement age and lowered life satisfaction, independent of income effects. We found no main effect for late-life unemployment on physical health status. CONCLUSIONS: Potential improvements in future life satisfaction might be gained if job search obstacles are removed for older unemployed adults, reducing reliance on involuntary early retirement as an income source.

The Association Between Perceived Health Status and Health Information Communication Channels.

Varying types of health information sources may influence health outcomes, but not much is known about their impact. The purpose of our study was to explore the association between health information sources and individuals' health status. A total of 14,966 participants who responded to the Annenberg National Health Communication Survey between 2005 and 2012 were included. Controlling for demographics, comorbidities, communication patterns, and socioeconomic status, we utilized regression analysis to examine the relationship between sources of health information and perceived health status. Included in the study were a total of 8,103 females and 6,863 males between 18 and 101 years old (M = 49.14, SD = 16.13). Health information from the Internet and pharmaceutical companies was significantly associated with better health status (p < .05), whereas information from social media, health care apps, news outlets, and health care companies was not. Information from the Internet was significantly associated with better health status, suggesting that health information from the Internet may have benefits. However, use of social media and health care apps did not relate to better health status, which may indicate that these sources are not as useful to consumers or that these sources have not yet saturated the health information marketplace.