Marital Status and Advance Care Planning Among Older Adults: Do Gendered Patterns Vary by Age?

OBJECTIVES: Advance care planning (ACP), which comprises a living will, durable power of attorney for healthcare (DPAHC), and end-of-life discussions, is an inherently relational process. However, it is unclear how marital status affects men's and women's ACP over the life course. Drawing on social control and gender-as-relational frameworks, we examine marital status differences in ACP and how these patterns differ by gender and age. METHODS: Data are from the 2020 Health and Retirement Study (HRS), a representative sample of U.S. older adults (N = 7,074). We estimate logistic regression models to evaluate whether marital status differences in ACP are moderated by age and gender, and multinomial logistic regressions to examine age and gender differences in DPAHC designations among married parents. Analyses are adjusted for sociodemographic and health covariates. RESULTS: Multivariable analyses revealed significant moderation effects for discussions only. Among married/cohabiting persons, women are more likely than men to have end-of-life discussions, with gender differences diminishing slightly at oldest ages. Among divorced persons in their 60s and 70s, women are much more likely than men to have had discussions, although this gap converges among the oldest-old. Conversely, young-old widowed men and women are equally likely to have discussions, although women are increasingly likely to do so with advancing age. Men are more likely than women to name their spouse as DPAHC, yet this gap diminishes with age. DISCUSSION: Healthcare providers can better guide end-of-life consultations if they understand how men's and women's family relationships change with advancing age.

Cigarette Prices and Disparities in Smoking Cessation in the United States.

INTRODUCTION: Achieving cessation in people with established smoking patterns remains a challenge. Increasing cigarette prices has been one of the most successful strategies for lowering smoking rates. The extent to which it has remained effective in encouraging cessation among adults in recent years and how the effectiveness has varied by sociodemographic characteristics is unclear. AIMS AND METHODS: Using repeated cross-sectional data collected by the Tobacco Use Supplement of the Current Population Survey, we investigate the relationship between cigarette prices and cessation from 2003 to 2019 in adults at least 25 years old. We examine the associations between price and cessation in the population overall and by sex, race and ethnicity, and socioeconomic status. RESULTS: We found mixed support for associations between greater local prices and cessation. Unadjusted models showed that greater local prices were associated with greater odds of cessation, but the associations did not persist after controlling for sociodemographic characteristics. The associations did not significantly differ by respondent characteristics. Sensitivity analysis using alternative specifications and retail state price as the main predictor showed similar results. Sensitivity analysis with controls for e-cigarette use in the 2014-2019 period showed that greater local price was associated with cessation among adults with less than a high school degree. When stratified by year of data collection, results show that greater local prices were associated with cessation after 2009. CONCLUSIONS: Overall, the study adds to the conflicting evidence on the effectiveness of increasing prices on smoking cessation among adults with established smoking patterns. IMPLICATIONS: Higher cigarette prices have been one of the most successful tools for lowering smoking prevalence. It remains unclear how effective they have been in recent years in encouraging adults with established smoking patterns to quit. The study's results show that greater local prices were associated with higher odds of cessation, but the association did not persist after sociodemographic adjustment. In a sensitivity analysis, greater local price was associated with cessation among people with less than a high school degree in models controlling for e-cigarette use. We also found evidence that greater local price was associated with cessation after 2009. More comprehensive smoke-free coverage was also associated with greater odds of cessation. The study's results highlight that encouraging cessation among adults with an established smoking pattern remains a challenging policy problem even when cigarette prices rise.

Tobacco taxes as a community protective factor against cognitive decline in later life.

INTRODUCTION: Prior work has suggested that encouraging smoking cessation could be an important tool for curbing later-life cognitive decline and cognitive disparities. This study investigates whether higher cigarette taxes were associated with lower odds of subjective cognitive decline (SCD) and lesser cognitive disparities. METHODS: Using the Behavioral Risk Factor Surveillance System data collected between 2019 and 2021, this study estimates logistic regression models predicting SCD by average state cigarette taxes in the last 5, 10, and 20 years, with gradual adjustment for sociodemographic and state characteristics. RESULTS: The results show that higher cigarette taxes were associated with decreased odds of SCD only in models without adjustment. Among Hispanics only, higher taxes were associated with lower odds of SCD. DISCUSSION: The lower rates of SCD in states with higher cigarette taxes could be explained by their different sociodemographic characteristics. Future research should explore the mechanisms that underlie the observed association among Hispanic Americans.

Parental Smoking in Childhood as a Smoking Risk Factor Throughout Middle Age.

INTRODUCTION: Children of people who smoke have a well-documented higher risk of smoking initiation. However, little is known about the persistence of the association between parental smoking and children's own smoking as they age. METHODS: This study uses data collected by the Panel Study of Income Dynamics collected between 1968 and 2017 and investigates the association between parental smoking and children's own smoking through middle age and how it may be modified by adult children's SES using regression models. The analysis was conducted between 2019 and 2021. RESULTS: The results show an increased risk of smoking among adult children of parents who smoked. Their odds were elevated in young adulthood (OR=1.55, 95% CI=1.11, 2.14), established adulthood (OR=1.53, 95% CI = 1.08, 2.15), and middle age (OR=1.63, 95% CI=1.04, 2.55). Interaction analysis shows that this statistically significant relationship is limited to high-school graduates only. Among people who smoked in the past or who currently smoke, children of people who smoked had longer average smoking duration. Interaction analysis shows that this risk is limited to high-school graduates only. The adult children of people who smoked and have less than a high-school education, some college, and college graduates did not have a statistically significantly increased risk of smoking or longer smoking duration. CONCLUSIONS: The findings highlight the durability of early life influences, especially for people with low SES.

Employment Pathways during Economic Recession and Recovery and Adult Health.

Our study bridges literatures on the health effects of job loss and life course employment trajectories to evaluate the selection into employment pathways and their associations with health in the short and medium terms. We apply sequence analysis to monthly employment calendars from a population-based sample of working-age women and men observed from 2009 to 2013 (N = 737). We identify six distinct employment status clusters: stable full-time employment, stable part-time employment, stably being out of the labor force, long-term unemployment, transition out of the labor force, and unstable full-time employment. After adjustment for sociodemographic characteristics and health at baseline, those who transitioned out of the labor force showed significantly poorer self-rated health at follow-up, whereas steadily part-time employed respondents still showed a greater risk of meeting criteria for major or minor depression. The findings have important implications for how social scientists conceptualize and model the relationship between employment status and health.

Occupational differences in advance care planning: Are medical professionals more likely to plan?

Advance care planning (ACP) helps ensure that treatment preferences are met at the end of life. Medical professionals typically are responsible for facilitating patients' ACP, and may be especially effective in doing so if they have first-hand insights from their own planning. However, no large-scale U.S. studies examine whether persons working on the front lines of health care are more likely than other workers to have done ACP. We contrast the use of three ACP components (living wills, durable power of attorney for health care, and informal discussions) among persons working in medical, legal, social/health support services, other professional, and other non-professional occupations. Data are from the Health and Retirement Study (n = 7668) and Wisconsin Longitudinal Study (n = 5464). Multivariable logistic regression analyses are adjusted for socioeconomic, demographic, health, and psychosocial factors that may confound associations between occupational group and ACP. Medical professionals in both samples are more likely than other professional workers to discuss their own treatment preferences, net of all controls. Medical professionals in the WLS are more likely to execute living wills and DPAHC designations, whereas legal professionals in the HRS are more likely to name a DPAHC. Non-professional workers are significantly less likely to do all three types of planning, although these differences are accounted for by socioeconomic factors. Social and health services professionals are no more likely than other professionals to do ACP. The on-the-job experiences and expertise of medical professionals may motivate them to discuss their own end-of-life preferences, which may render them more trustworthy sources of information for patients and clients. The Affordable Care Act provides reimbursement for medical professionals' end-of-life consultations with Medicare beneficiary patients, yet practitioners uncomfortable with such conversations may fail to initiate them. Programs to increase medical professionals' own ACP may have the secondary benefit of increasing ACP among their patients.

Cigarette taxes, prices, and disparities in current smoking in the United States.

Increasing cigarette taxes has been the cornerstone of tobacco control policy. Recent work has argued that raising cigarette taxes alone may no longer be an effective strategy for lowering smoking rates. We largely confirm these findings but also find that increases in price continue to predict lower smoking participation in most model specifications. We argue that raising cigarette prices via taxation remains an effective public health policy. We discuss the advantages of homogeneous tax environments and minimum price laws for eliminating opportunities for consumers to offset tax increases by searching for lowest taxes.

Tobacco control policy and smoking among older Americans: An analysis of a nationally-representative longitudinal sample (1992-2014).

Smoking has decreased less rapidly among older adults than among the working age population in the United States. This study examines whether tobacco control policy, specifically smoke-free laws and increased cigarette prices, are associated with smoking cessation and lower smoking intensity among older adults. In addition, it considers whether the effect of smoke-free laws varied by labor force participation. Using geocoded longitudinal data from the Health and Retirement study collected from 1992 to 2014, I estimate survival models to evaluate the association between the implementation of city, county, and state smoke-free laws, changes in average state cigarette pack price, and smoking cessation among smokers. I then interact labor force status with smoke-free laws to assess whether the associations differ for retired versus employed respondents. Second, I estimate within-person fixed effects models to evaluate the association between the implementation of smoke-free laws, changes in average state cigarette pack price, and smoking intensity among smokers. Models were stratified by labor force status to assess whether the associations varied by labor force participation. All analyses were also stratified by age into younger (51-64) and older (65+) respondents. Neither the implementation of smoke-free laws nor increases in cigarette prices were associated with greater smoking cessation or lower smoking intensity. There was no evidence that labor force participation was associated with greater responsiveness to smoke-free laws. The results suggest that two of the most popular tobacco control policy tools in the US, smoke-free laws and cigarette prices, may be less effective among older adults.

Gender differences in relationships between sociodemographic factors and e-cigarette use with smoking cessation: 2014-15 current population survey tobacco use supplement.

BACKGROUND: There is conflicting evidence regarding whether men and women are equally likely to quit smoking. We assessed whether gender differences in smoking cessation varied between different sociodemographic groups and across e-cigarette use. METHODS: The 2014-15 cross-section of the Current Population Survey Tobacco Use Supplement was weighted to represent the US adult population of current/former smokers (N = 16 040). Log binomial models tested whether gender modified the relationships between race/ethnicity, education, income or e-cigarette use and 90-day smoking cessation in the past year. RESULTS: Gender was not associated with cessation in adjusted models (RR = 0.97, CI: 0.85, 1.11). There were no statistically significant interactions between gender and sociodemographic covariates. Current e-cigarette use was associated with higher cessation (RR = 1.53, CI: 1.30, 1.81), and the association varied by gender (Interaction P = 0.013). While male e-cigarette users had a 15% predicted cessation in the past year (CI: 12, 18%), female users had a 9% predicted cessation (95% CI: 7, 11%). Probability of cessation for female e-cigarette users was not different from non-users. CONCLUSIONS: These findings suggest that there are no gender differences in smoking cessation in the USA overall, or by sociodemographic groups. Current e-cigarette use is associated with higher likelihood of recent successful smoking cessation, particularly for men.

Rent Assistance and Health: Findings from Detroit.

This study assesses the relationship between rent assistance and health in a longitudinal, population-representative sample collected in the Detroit metro area. Previous research has found that rent assistance recipients are less healthy than otherwise similar non-recipients in the cross-section, but the evidence about the effects of rent assistance on health in the long run is ambiguous. Our study uses panel survey data to compare the health of recipients and eligible non-recipients at the study's onset and four years later at follow-up with respect to an extensive set of physical, mental, and behavioral health outcomes. Our results demonstrate that rent assistance recipients are in worse overall health than non-recipients, but also provide suggestive evidence that the program may buffer health declines in the medium term. However, the positive buffering effects may be erased in the long run, as we simultaneously observed an increase in smoking among rent assistance recipients. Our study shows that the current shortage of rent assistance may have implications for population health.

The Affordable Care Act Medicaid Expansion and Smoking Cessation Among Low-Income Smokers.

INTRODUCTION: This study sought to empirically evaluate whether the Medicaid expansion under the Affordable Care Act increased smoking cessation among low-income childless adult smokers. METHODS: The effects of the Medicaid expansion on smoking quit attempts and the probability of 30- and 90-day smoking cessation were evaluated using logistic regression and data from the 2010-2011 and 2014-2015 waves of the Tobacco Use Supplement to the Current Population Survey. Using boosted logistic regression, the Tobacco Use Supplement was restricted to an analytic sample composed of childless adults with high probability of being <138% of the federal poverty level. Propensity score weighting was used to compare changes in smoking cessation among a sample of current and past smokers in states that expanded Medicaid with a control sample of current and past smokers in states that did not expand Medicaid with similar sociodemographic characteristics and smoking histories. This study additionally controlled for state socioeconomic trends, welfare policies, and tobacco control policies. Analysis was conducted between January 2018 and June 2019. RESULTS: After weighting by propensity score and adjusting for state socioeconomic trends, welfare policies, and tobacco control policies, the Medicaid expansion was not associated with increases in smoking quit attempts or smoking cessation. CONCLUSIONS: The Medicaid expansion did not appear to improve smoking cessation, despite extending health insurance eligibility to 2.3 million low-income smokers. Greater commitments to reducing barriers to cessation benefits and increasing smoking cessation in state Medicaid programs are needed to reduce smoking in low-income populations.

Smoke-Free Policies and Smoking Cessation in the United States, 2003-2015.

(1) Background: Smoking restrictions have been shown to be associated with reduced smoking, but there are a number of gaps in the literature surrounding the relationship between smoke-free policies and cessation, including the extent to which this association may be modified by sociodemographic characteristics. (2) Methods: We analyzed data from the Tobacco Use Supplement to the Current Population Survey, 2003-2015, to explore whether multiple measures of smoking restrictions were associated with cessation across population subgroups. We examined area-based measures of exposure to smoke-free laws, as well as self-reported exposure to workplace smoke-free policies. We used age-stratified, fixed effects logistic regression models to assess the impact of each smoke-free measure on 90-day cessation. Effect modification by gender, education, family income, and race/ethnicity was examined using interaction terms. (3) Results: Coverage by workplace smoke-free laws and self-reported workplace smoke-free policies was associated with higher odds of cessation among respondents ages 40-54. Family income modified the association between smoke-free workplace laws and cessation for women ages 25-39 (the change in the probability of cessation associated with coverage was most pronounced among lower-income women). (4) Conclusions: Heterogeneous associations between policies and cessation suggest that smoke-free policies may have important implications for health equity.

Comparability of Mortality Estimates from Social Surveys and Vital Statistics Data in the United States.

Social surveys prospectively linked with death records provide invaluable opportunities for the study of the relationship between social and economic circumstances and mortality. Although survey-linked mortality files play a prominent role in U.S. health disparities research, it is unclear how well mortality estimates from these datasets align with one another and whether they are comparable with U.S. vital statistics data. We conduct the first study that systematically compares mortality estimates from several widely-used survey-linked mortality files and U.S. vital statistics data. Our results show that mortality rates and life expectancies from the National Health Interview Survey Linked Mortality Files, Health and Retirement Study, Americans' Changing Lives study, and U.S. vital statistics data are similar. Mortality rates are slightly lower and life expectancies are slightly higher in these linked datasets relative to vital statistics data. Compared with vital statistics and other survey-linked datasets, General Social Survey-National Death Index life expectancy estimates are much lower at younger adult ages and much higher at older adult ages. Cox proportional hazard models regressing all-cause mortality risk on age, gender, race, educational attainment, and marital status conceal the issues with the General Social Survey-National Death Index that are observed in our comparison of absolute measures of mortality risk. We provide recommendations for researchers who use survey-linked mortality files.

Material hardship and sleep: results from the Michigan Recession and Recovery Study.

OBJECTIVE: Sleep is unequally distributed in the US population. People with low socioeconomic status report worse quality and shorter sleep than people with high socioeconomic status. Past research hypothesized that a potential reason for this link could be exposure to material hardship. This study examines the associations between several material hardships and sleep outcomes. METHODS: We use population-representative cross-sectional data (n = 730) from the Michigan Recession and Recovery Study collected in 2013 and examine the associations between 6 indicators of material hardship (employment instability, financial problems, housing instability, food insecurity, forgone medical care, and the total number of material hardships reported) and 3 sleep outcomes (short sleep, sleep problems, and nonrestorative sleep). We build multivariable logistic regression models controlling for respondents' characteristics and light pollution near their residence. RESULTS: In unadjusted models, all material hardships were associated with negative sleep outcomes. In adjusted models, forgone medical care was a statistically significant predictor of nonrestorative sleep (average marginal effect 0.16), as was employment instability (average marginal effect 0.12). The probability of sleep problems and nonrestorative sleep increased with a greater number of hardships overall (average marginal effects of .02 and .05, respectively). We found marginally statistically significant positive associations between food insecurity and short sleep and sleep problems. CONCLUSIONS: This study finds that, except when considering foregone medical care, employment instability, and total count of material hardships, associations between material hardship and negative sleep outcomes are not statistically significant after adjusting for a robust set of sociodemographic and health characteristics.

Increase in frailty of older workers and retirees predicted by negative psychosocial working conditions on the job.

Well-established evidence has shown that negative psychosocial working conditions adversely affect the health and well-being of prime-age workers, yet little is known about the consequences on the health of older workers. Our article examines the associations between declines in health in later life, measured as frailty, and negative psychosocial working conditions, and considers the role of retirement. We use longitudinal cross-national data collected by SHARE I and SHARE IV and focus on the respondents who were working at baseline. We find that low reward, high effort, effort to reward ratio, and effort to control ratio were all predictors of increasing frailty. The association between low reward and change in frailty was modified by retirement status at follow-up, with nonretired respondents in low-reward jobs experiencing the largest increases in frailty at follow-up. These results suggest that the effect of psychosocial working conditions on physical health may extend well past the prime working age, and retirement may have a protective effect on the health of older workers in low reward jobs.

Curing over-use by prescribing fees: an evaluation of the effect of user fees' implementation on healthcare use in the Czech Republic.

In 2008, the Czech Republic instituted a new policy that requires most patients to pay a small fee for some inpatient and outpatient healthcare services. Using the Survey of Health Aging and Retirement in Europe, this article examines the changes in healthcare utilization of Czechs 50 years and older following the new fee requirement by constructing difference-in-differences regression models focusing on four outcome measures: any visits to primary care physician, any hospitalization, number of visits to the primary care physician and number of nights hospitalized. For this population, I find that the likelihood of having any primary care visit decreased after the policy was instituted. The likelihood of reporting any hospitalization was not significantly changed. The predicted number of primary care visits per person declined, but the predicted number of nights spent in a hospital did not. I find only mixed evidence of greater effect of the user fees on some subpopulations compared with others. Those 65 or older reduced their use more than those between 50 and 64, and so did those who consider their health to be good, and the less educated.

Social isolation as a risk factor for inadequate diet of older Eastern Europeans.

OBJECTIVES: Social isolation has been shown to be a risk factor for inadequate diet among older adults living in Western Europe and North America. This article investigates whether socially isolated older adults (65+) living in Eastern Europe also experience an increased risk of dietary inadequacy. METHODS: The study used SHARE IV survey data collected in the Czech Republic (n = 2,867), Poland (n = 772), and Hungary (n = 1,353). Logistic regression models were estimated for each country separately to predict the likelihood of two proxies for dietary adequacy, having three meals a day and/or a serving of fruits or vegetables, by social isolation. RESULTS: Social isolation was associated with lower likelihood of having three meals a day among Czech older adults (OR 0.39) and with lower likelihood of having a daily serving of fruits or vegetables among Czech (OR 0.62) and Polish older adults (OR 0.35). No association between social isolation and either one of the outcomes was found in Hungary. CONCLUSIONS: Socially isolated Eastern European older adults may be at a higher risk of dietary inadequacy, particularly in the Czech Republic and Poland.

Unemployment, measured and perceived decline of economic resources: contrasting three measures of recessionary hardships and their implications for adopting negative health behaviors.

Economic downturns could have long-term impacts on population health if they promote changes in health behaviors, but the evidence for whether people are more or less likely to adopt negative health behaviors in economically challenging times has been mixed. This paper argues that researchers need to draw more careful distinctions amongst different types of recessionary hardships and the mechanisms that may underlie their associations with health behaviors. We focus on unemployment experience, measured decline in economic resources, and perceived decline in economic resources, all of which are likely to occur more often during recessions, and explore whether their associations with health behaviors are consistent or different. We use population-based longitudinal data collected by the Michigan Recession and Recovery Study in the wake of the Great Recession in the United States. We evaluate whether those who had experienced each of these three hardships were more likely to adopt new negative health behaviors, specifically cigarette smoking, harmful and hazardous alcohol consumption, or marijuana consumption. We find that, net of controls and the other two recessionary hardships, unemployment experience was associated with increased hazard of starting marijuana use. Measured decline in economic resources was associated with increased hazard of cigarette smoking and lower hazard of starting marijuana use. Perceived decline in economic resources was linked to taking up harmful and hazardous drinking. Our results suggest heterogeneity in the pathways that connect hardship experiences and different health behaviors. They also indicate that relying on only one measure of hardship, as many past studies have done, could lead to an incomplete understanding of the relationship between economic distress and health behaviors.