Longitudinal associations between mental health and social environment in older adults: a multilevel growth modeling.

OBJECTIVES: This study aimed to assess longitudinal relationships between social environment indicators (social connectedness, social engagement, social contribution) and mental health indicators (depression and anxiety) among community-dwelling adults age 55 years and older. METHODS: Data were drawn from 3-waves of the national longitudinal survey of Midlife Development in the United States (MIDUS) (N = 2,020; age range = 55-94 years). We developed multilevel growth models to ascertain the relationships of interest, controlling for sociodemographic and physical health factors. RESULTS: Over the 20-year period of study, lower levels of emotional social support, social integration and social contribution significantly predicted depression and anxiety, whereas social network and social engagement were not significant predictors of these mental health outcomes in older adults. The models also indicated a moderation effect of the number of chronic conditions on the slopes of depression and anxiety. DISCUSSION: Considering our findings, interventions to enhance social contribution and social connectedness could be effective to help older adults maintain positive mental health, as well as programs that facilitate older adults' connections with their families, communities and health care providers. These interventions must also account for multiple chronic conditions since functional limitations drive declining integration in the community and participation in social activities.

Living with a Smoker and Physical Inactivity across Eight Years in High-Risk Medical Patients.

Recent research has demonstrated a link between living with a smoker and physical inactivity. However, no research has examined this issue in the context of recovery in medical patients. The present study broadens research on living with a smoker by applying it to physical inactivity in a group of high-risk medical patients with histories of cancer or cardiovascular disease compared to a control group without histories of these conditions. In addition, this study extends the time frame of research on living with a smoker in predicting physical inactivity to eight years. Participants were 76,758 women between 49 and 81 years of age from the Women's Health Initiative Observational Study. Data on living with a smoker were collected at baseline; data on physical activity were collected at baseline and annually from 3 to 8 years. Analyses utilized latent growth modeling. Patient status, compared to control status, was associated with more physical inactivity at baseline. Independent of patient status, living with a smoker predicted a significant increase in the odds of no moderate or strenuous exercise and a significant increase in the odds of no walking at baseline. The effect of living with a smoker on physical inactivity was stronger than that of patient status. Moreover, the living with a smoker effect on physical inactivity remained stable across eight years. These findings highlight an overlooked impediment to compliance with recommendations for lifestyle change among high-risk medical patients.

Living with a Smoker and Multiple Health-Risk Behaviors.

BACKGROUND: Behavioral medicine is showing growing theoretical and applied interest in multiple health-risk behaviors. Compared to engaging in a single health-risk behavior, multiple health-risk behaviors are linked to increased morbidity and mortality. A contextual determinant of multiple risk behaviors may be living with a smoker. PURPOSE: This study investigated the role of living with a smoker in predicting multiple health-risk behaviors compared to a single health-risk behavior, as well as whether these multiple risk behaviors occur across both physical activity and dietary domains. Moreover, the study tested these effects across 3 years in longitudinal and prospective (controlling for health-risk behaviors at baseline) analyses. METHODS: Participants were 82,644 women (age M = 63.5, standard deviation = 7.36, age range = 49-81) from the Women's Health Initiative Observational Study. Analyses used multinomial and binary logistic regression. RESULTS: Living with a smoker was more strongly associated with multiple health-risk behaviors than with a single health-risk behavior. These multiple risk behaviors occurred across both physical activity and dietary domains. The effects persisted across 3 years in longitudinal and prospective analyses. Living with a smoker, compared to not living with a smoker, increased the odds of multiple health-risk behaviors 82% cross-sectionally and, across 3 years, 94% longitudinally and 57% prospectively. CONCLUSIONS: These findings integrate research on multiple health-risk behaviors and on living with a smoker and underscore an unrecognized public health risk of tobacco smoking. These results are relevant to household-level interventions integrating smoking-prevention and obesity-prevention efforts.

Spillover Effects of Job Skills Training on Substance Misuse Among Low-Income Youths With Employment Barriers: A Longitudinal Cohort Study.

Objectives. To examine spillover effects of job skills training (vs basic services only [e.g., adult basic education, job readiness training]) on substance misuse among low-income youths with employment barriers.Methods. Data came from the National Longitudinal Survey of Youth 1997, a longitudinal cohort study of youths born between 1980 and 1984 in the United States. Based on respondents' reports of substance misuse (past-month binge drinking and past-year marijuana and other illicit drug use) from 2000 to 2016, we estimated substance misuse trajectories of job skills training (n = 317) and basic services (n = 264) groups. We accounted for potential selection bias by using inverse probability of treatment weighting.Results. Compared with the basic services group, the job skills training group showed notable long-term reductions in its illicit drug misuse trajectory, translating to a 56.9% decrease in prevalence rates from 6.5% in year 0 to 2.8% in year 16.Conclusions. Job skills training can be an important service component for reducing substance misuse and improving employment outcomes among youths with economic disadvantages and employment barriers.

Living with a smoker, health risk behaviors, and adiposity: an analysis with middle-aged and older women.

This study investigated: (a) the association between living with a smoker and weight-related health risk behaviors, and (b) the role of these behaviors in indirectly linking living with a smoker to general and central adiposity. Participants were 83,492 women (age M = 63.5, SD = 7.36) from the Women's Health Initiative Observational Study. In logistic regression analyses at baseline, living with a smoker was associated with increased odds of no exercise (29%), no walking (33%), high dietary fat (62%), and low fruit and vegetable consumption (43%). Using structural equation modeling, bootstrap confidence intervals confirmed a significant indirect effect from living with a smoker to adiposity through health risk behaviors at baseline and prospectively across 3 and 8 years. Health risk behaviors fully explained the living with a smoker-adiposity relationship. These findings integrate clustering and contagion theoretical perspectives on health behaviors and contribute to understanding a novel pathway to adiposity.

Bridging the Gap Between Common Mental Disorders and Service Use: The Role of Self-Rated Mental Health Among African Americans.

OBJECTIVE: The unmet need for mental health care in racial/ethnic minorities has been a major public health concern. Using a sample of African Americans, this study questioned whether self-rated mental health (SRMH), an individual's subjective assessment of personal mental and emotional status, modifies the link between mental disorders and service use. DESIGN: Cross-sectional analyses of the Milwaukee African American oversample of the Midlife Development in the United States (MIDUS II) study, 2005-2006. SETTING: In-home personal interviews. PARTICIPANTS: Self-identified African American/black participants aged 40 to 85 years (N = 460). MEASUREMENTS: Participants were assessed if they met the diagnostic criteria for three common mental disorders (major depression, generalized anxiety disorder, and panic disorder) in the prior 12 months, using the Composite International Diagnostic Interview (CIDI). Response to a single-item SRMH was dichotomized (excellent/very good/good or fair/poor). Service use was indicated by the use of any services in the past year (mental health specialist, general doctor, and clergy). RESULTS: Multivariate analyses identified a significant interaction between mental disorder and SRMH in predicting service use. The likelihood of service use increased substantially when individuals with a disorder reported their mental health to be fair/poor. CONCLUSIONS: Reflecting its subjective nature, SRMH enhances our understanding of individual variations in self-recognition and help-seeking behaviors. Findings suggest that interventions that enhance an individual's self-awareness of mental health problems may help bridge the gap between mental health care needs and service use in African Americans.

Obesity and US mortality risk over the adult life course.

In this study, we analyzed age variation in the association between obesity status and US adult mortality risk. Previous studies have found that the association between obesity and mortality risk weakens with age. We argue that existing results were derived from biased estimates of the obesity-mortality relationship because models failed to account for confounding influences from respondents' ages at survey and/or cohort membership. We employed a series of Cox regression models in data from 19 cross-sectional, nationally representative waves of the US National Health Interview Survey (1986-2004), linked to the National Death Index through 2006, to examine age patterns in the obesity-mortality association between ages 25 and 100 years. Findings suggest that survey-based estimates of age patterns in the obesity-mortality relationship are significantly confounded by disparate cohort mortality and age-related survey selection bias. When these factors are accounted for in Cox survival models, the obesity-mortality relationship is estimated to grow stronger with age.

The impact of obesity on US mortality levels: the importance of age and cohort factors in population estimates.

OBJECTIVES: To estimate the percentage of excess death for US Black and White men and women associated with high body mass, we examined the combined effects of age variation in the obesity-mortality relationship and cohort variation in age-specific obesity prevalence. METHODS: We examined 19 National Health Interview Survey waves linked to individual National Death Index mortality records, 1986-2006, for age and cohort patterns in the population-level association between obesity and US adult mortality. RESULTS: The estimated percentage of adult deaths between 1986 and 2006 associated with overweight and obesity was 5.0% and 15.6% for Black and White men, and 26.8% and 21.7% for Black and White women, respectively. We found a substantially stronger association than previous research between obesity and mortality risk at older ages, and an increasing percentage of mortality attributable to obesity across birth cohorts. CONCLUSIONS: Previous research has likely underestimated obesity's impact on US mortality. Methods attentive to cohort variation in obesity prevalence and age variation in obesity's effect on mortality risk suggest that obesity significantly shapes US mortality levels, placing it at the forefront of concern for public health action.

Smoking status, physical health-related quality of life, and mortality in middle-aged and older women.

INTRODUCTION: Women who smoke, particularly older women, have been relatively neglected in smoking research. There is a lack of knowledge concerning the relation of level of smoking to quality of life and mortality among middle-aged and older women smokers. METHODS: This study examined the relation of smoking status to physical health-related quality of life (PHRQL) and total mortality in women in the Women's Health Initiative (WHI) Observational Study. Participants were 90,849 postmenopausal women, who were an average age of 63.6 years at baseline. Analyses used multiple linear and Cox proportional hazards regression and controlled for age, educational level, and ethnicity. Never-smokers were the reference group. RESULTS: We found that smoking status was significantly related to PHRQL cross-sectionally at baseline and prospectively at a 3-year follow-up, with those who smoked having lower PHRQL. Heavier smokers showed large, clinically meaningful associations with PHRQL and light smokers showed small associations. In addition, we found that the smoking status at baseline was significantly related to 10-year total mortality. Both light and heavier smoking at baseline significantly correlated with higher mortality risk; however, the relationship of smoking to mortality was dose dependent. Among former smokers, those who had smoked longer showed significantly lower PHRQL and significantly increased mortality risk. CONCLUSIONS: Findings suggest that the risks of smoking may not be evident to light smokers and that educational interventions targeted to middle-aged and older women stressing the consequences of light smoking may be particularly beneficial.

Association Between Publicly Funded Contraceptive Services and the Abortion Rate in Texas, 2010-2015.

OBJECTIVE: To evaluate how the availability of contraceptive services was associated with a change in the abortion rate before and after Texas' legislative changes to the family planning budget in 2011 and abortion access in 2013. METHODS: In this cross-sectional study, we obtained 2010 and 2015 data on contraceptive provision (number of publicly funded clinics and number of contraceptive clients served per 1,000 reproductive-aged women) from the Guttmacher Institute and county-level abortion data from the Texas Department of State Health Services. We categorized counties as having an abortion rate that increased or declined less than the national rate between 2010 and 2015 ( low-decline counties ) compared with those having an abortion rate that declined equal to or greater than the national rate between 2010 and 2015 ( high-decline counties ). We evaluated differences in contraceptive provision between high-decline and low-decline counties and evaluated county characteristics (racial and ethnic composition, unemployment, poverty, uninsured, education, distance to an abortion clinic, deliveries covered by Medicaid, and Catholic hospital marketplace dominance) as potential confounders. RESULTS: Of 157 counties that had at least one contraceptive clinic in either 2010 or 2015, 49 were low-decline counties and 108 were high-decline counties. Although the total number of publicly funded family planning clinics increased by 10.8%, there was a 4.7% decrease in the total number of contraceptive clients served statewide. Compared with low-decline counties, high-decline counties had a higher median number of contraceptive clients served per 1,000 women aged 18-44 years (31.9 vs 60.7, P <.05) in 2015. Between 2010 and 2015, the abortion rate decreased 19.7% for each 1.0% increase in contraceptive clients served. CONCLUSION: Texas counties with higher abortion-rate declines had more publicly funded contraceptive clinics and served more contraceptive clients than counties with lower declines, which may indicate the importance of greater access to publicly funded contraceptive services.

A global comparative study of wealth-pain gradients: Investigating individual- and country-level associations.

Pain is a significant yet underappreciated dimension of population health. Its associations with individual- and country-level wealth are not well characterized using global data. We estimate both individual- and country-level wealth inequalities in pain in 51 countries by combining data from the World Health Organization's World Health Survey with country-level contextual data. Our research concentrates on three questions: 1) Are inequalities in pain by individual-level wealth observed in countries worldwide? 2) Does country-level wealth also relate to pain prevalence? 3) Can variations in pain reporting also be explained by country-level contextual factors, such as income inequality? Analytical steps include logistic regressions conducted for separate countries, and multilevel models with random wealth slopes and resultant predicted probabilities using a dataset that pools information across countries. Findings show individual-level wealth negatively predicts pain almost universally, but the association strength differs across countries. Country-level contextual factors do not explain away these associations. Pain is generally less prevalent in wealthier countries, but the exact nature of the association between country-level wealth and pain depends on the moderating influence of country-level income inequality, measured by the Gini index. The lower the income inequality, the more likely it is that poor countries experience the highest and rich countries the lowest prevalence of pain. In contrast, the higher the income inequality, the more nonlinear the association between country-level wealth and pain reporting such that the highest prevalence is seen in highly nonegalitarian middle-income countries. Our findings help to characterize the global distribution of pain and pain inequalities, and to identify national-level factors that shape pain inequalities.

Educational Differences in U.S. Adult Mortality: A Cohort Perspective.

We use hierarchical cross-classified random-effects models to simultaneously measure age, period, and cohort patterns of mortality risk between 1986 and 2006 for non-Hispanic white and non-Hispanic black men and women with less than a high school education, a high school education, and more than a high school education. We examine all-cause mortality risk and mortality risk from heart disease, lung cancer, and unpreventable cancers. Findings reveal that temporal reductions in black and white men's and women's mortality rates were driven entirely by cohort changes in mortality. Findings also demonstrate that disparate cohort effects between education groups widened the education gap in all-cause mortality risk and mortality risk from heart disease and lung cancer across this time period. Educational disparities in mortality risk from unpreventable cancers, however, did not change. This research uncovers widening educational differences in adult mortality and demonstrates that a cohort perspective provides valuable insights for understanding recent temporal changes in U.S. mortality risk.

Performance of an Abbreviated Lubben Social Network Scale (LSNS-6) in Three Ethnic Groups of Older Asian Americans.

BACKGROUND AND OBJECTIVES: The present study examined the measurement quality and performance of an abbreviated Lubben Social Network Scale (LSNS-6) in three ethnic groups (Chinese, Koreans, and Vietnamese) of older Asian Americans, addressing both within- and cross-group validations. RESEARCH DESIGN AND METHODS: We selected 605 participants aged 50 or older (242 Chinese, 150 Koreans, and 213 Vietnamese) from the 2015 Asian American Quality of Life survey, conducted with self-identified Asian Americans aged 18 or above living in central Texas. We analyzed LSNS-6 data on measurement qualities (internal consistency and corrected item-total correlation), dimensionality (exploratory and confirmatory factor analyses), and correlations with other indicators. RESULTS: LSNS-6 showed very good internal consistency in each ethnic group, and the two-factor structure of family and friends were invariant across the groups. The items on friends demonstrated greater homogeneity than those on family and emerged as a first factor. Both subscale and total scores of LSNS-6 were associated in expected directions with the social and health indicators considered. DISCUSSION AND IMPLICATIONS: The findings confirm the measurement qualities of LSNS-6 within each group and provide support for measurement invariance across the groups. While the observed difference in family and friend networks warrants further investigation, LSNS-6 serves as a viable option for the assessment of social networks. When using LSNS-6 with older Asian Americans, it is highly recommended to use the family/friend subscales in consideration of cultural and immigration contexts.

Depressive symptoms and smoking in middle-aged and older women.

INTRODUCTION: Smoking research and intervention efforts have neglected older women. Depressive symptoms, which are common in middle-aged and older women, are related to the maintenance of adult smoking. METHODS: This study investigated the relation of a composite measure of current depressive symptoms, derived from a short form of the Center for Epidemiological Studies Depression Scale, and history of depressive symptoms, derived from two items from the Diagnostic Interview Schedule, to smoking outcomes in the Women's Health Initiative Observational Study (N = 90,627). Participants were postmenopausal with an average age of 63.6 years at baseline. Participants were recruited from urban, suburban, and rural areas surrounding 40 clinical centers in the United States. Analyses controlled for age, educational level, and ethnicity. RESULTS: In multinomial logistic regression analyses, depressive symptoms were related cross-sectionally to current light (odds ratio [OR] = 1.19, 95% CI = 1.14-1.23) and heavier (OR = 1.28, 95% CI = 1.23-1.32) smoking at baseline compared with nonsmokers. In prospective multiple logistic regression analyses, baseline depressive symptoms were negatively predictive of smoking cessation at a 1-year follow-up (OR = .85, 95% CI = 0.77-0.93) and at participants' final assessments in the study (OR = .92, 95% CI = 0.85-0.98). Light smokers had more than 2 times higher odds of smoking cessation than did heavier smokers. CONCLUSIONS: The present findings demonstrate a consistent link between depressive symptoms and negative smoking-related behaviors among middle-aged and older women at both light and heavier smoking levels.

Impact of contraceptive counseling on Texans who can and cannot receive no-cost post-abortion contraception.

OBJECTIVE: To assess optimal timing, patient satisfaction, and 1-year contraceptive continuation associated with contraceptive counseling among Texans who could and could not receive no-cost long-acting reversible contraception (LARC) via a specialized funding program. STUDY DESIGN: In this prospective study conducted between October 2014 and March 2016, we evaluated participants' desire for contraceptive counseling during abortion visits, impact of counseling on change in contraceptive preference, satisfaction with counseling, and 1-year postabortion contraceptive continuation. We stratified participants into 3 groups by income, insurance status, and eligibility for no-cost LARC: (1) low-income eligible, (2) low-income ineligible, and (3) higher-income and/or insured ineligible. We examined the association between contraceptive counseling rating and 1-year method continuation by program eligibility and post-abortion contraceptive type. RESULTS: Among 428 abortion patients, 68% wanted to receive contraceptive counseling at their first abortion visit. Counseling led to a contraceptive preference change for 34%. Of these, 21% low-income eligible participants received a more effective method than initially desired, 10% received a less effective method, and 69% received the method they initially desired. No low-income ineligible participants received a more effective method than they initially desired, 55% received a less effective method, and 45% received the method they initially desired. Five percent of higher-income eligible participants received a more effective method than they initially desired, 48% received a less effective method, and 47% received the method they initially desired. Highest counseling rating was reported by 51%. Compared to those providing a lower rating in each group, highest counseling rating was significantly associated with lower 1-year contraceptive discontinuation for low-income eligible participants (aHR 0.34, 95% CI 0.14, 0.81), but not for low-income ineligible (aHR 1.56, 95% CI 0.83, 2.91) and higher-income (aHR 0.73, 95% CI 0.47,1.13) participants. Additionally, 1-year contraceptive continuation was associated with highest counseling rating (OR 1.72, 95% CI 1.09, 2.72) and post-abortion LARC use (OR 11.70, 95% CI 6.37, 21.48) in unadjusted models, but only postabortion LARC in adjusted models (aOR 1.55, 95% CI 0.90, 2.66 for highest counseling rating vs. aOR 11.83, 95% CI 6.29, 22.25 for postabortion LARC use). CONCLUSIONS: In Texas, where access to affordable postabortion contraception is limited, high quality contraceptive counseling is associated with 1-year contraceptive continuation only among those eligible for no-cost methods. IMPLICATIONS: State policies which restrict access to affordable post-abortion contraception limit the beneficial impact of patient-centered counseling and impede patients' ability to obtain their preferred method.

Health Behaviors and Prenatal Health Conditions in Repeat Vs First-time Teenage Mothers in the United States: 2015-2018.

STUDY OBJECTIVE: Repeat teenage mothers, those who give birth to a second or higher-order infant before age 20 years, are at elevated risk for adverse perinatal outcomes compared with first-time teenage mothers. The objective of the current study was to compare the prevalence of negative pregnancy-related behaviors and gestational health conditions in the national United States population of first-time and repeat teenage mothers. DESIGN, SETTING, AND PARTICIPANTS: We conducted a retrospective, population-based cohort study using annual US birth data files from 2015 to 2018, N = 799,756 (673,394 [84.2%] first, 126,362 [15.8%] repeat) births to women ages 15-19 years. INTERVENTIONS: None. MAIN OUTCOME MEASURES: Pregnancy-related behaviors (including adequacy of prenatal care and weight gain, sexually transmitted infection, smoking, and breastfeeding) and gestational health conditions (gestational hypertension and gestational diabetes). RESULTS: Repeat (vs first-time) mothers had higher prevalence of negative pregnancy-related behaviors: inadequate prenatal care, smoking, inadequate weight gain, and sexually transmitted infection during pregnancy; they were also less likely to breastfeed. Conversely, repeat teenage mothers experienced lower prevalence of gestational hypertension and gestational diabetes. CONCLUSION: Repeat teenage mothers experienced lower prevalence of physical health complications during pregnancy but engaged in more negative pregnancy-related health behaviors. Negative health behavior in pregnancy can lead directly to poor perinatal outcomes for infants. To prevent adverse outcomes from repeat teenage childbearing, we must ensure access to quality, timely, prenatal and postpartum care so teenage mothers can receive support for healthy pregnancy-related behaviors as well as linkage to highly effective contraception to prevent unintended repeat births.

Clarifying assumptions in age-period-cohort analyses and validating results.

BACKGROUND: Age-period-cohort (APC) models are often used to decompose health trends into period- and cohort-based sources, but their use in epidemiology and population sciences remains contentious. Central to the contention are researchers' failures to 1) clearly state their analytic assumptions and/or 2) thoroughly evaluate model results. These failures often produce varying conclusions across APC studies and generate confusion about APC methods. Consequently, scholarly exchanges about APC methods usually result in strong disagreements that rarely offer practical advice to users or readers of APC methods. METHODS: We use research guidelines to help practitioners of APC methods articulate their analytic assumptions and validate their results. To demonstrate the usefulness of the guidelines, we apply them to a 2015 American Journal of Epidemiology study about trends in black-white differences in U.S. heart disease mortality. RESULTS: The application of the guidelines highlights two important findings. On the one hand, some APC methods produce inconsistent results that are highly sensitive to researcher manipulation. On the other hand, other APC methods estimate results that are robust to researcher manipulation and consistent across APC models. CONCLUSIONS: The exercise shows the simplicity and effectiveness of the guidelines in resolving disagreements over APC results. The cautious use of APC models can generate results that are consistent across methods and robust to researcher manipulation. If followed, the guidelines can likely reduce the chance of publishing variable and conflicting results across APC studies.