Alternative Tobacco Use and Cigarette Smoking Transitions among College Students in Texas.

Background: High prevalence of very light cigarette smoking and use of alternative tobacco products (ATPs; i.e. electronic nicotine delivery systems [ENDS], cigars, and hookah) among young adult college students are causes for concern. The purpose of this study is to examine transitions in cigarette smoking (never vs. non-current vs. very light vs. heavier) among college students across 2.5 years and determine if the use of ATPs is related to these transitions. Methods: This study used six waves of data across 2.5 years from Project M-PACT. Participants who were 18-25 years of age at baseline were included in this study (n = 4,806). Cigarette smoking state was categorized as never smoking, non-current smoking [0 cigarettes smoked per day (cpd) in past month], very light smoking (< =5 cpd in past month), and heavier smoking (>5 in past month). Multi-state Markov models were used to examine temporal transitions in the four smoking states and examine the association of time-varying current ATP use with transitions in smoking states. Results: The probabilities of remaining in a smoking state decreased over time. The time-varying current ATP use was significantly related to increased odds of transitioning from never smoking to non-current smoking, from never smoking to very light smoking, and from non-current to very light smoking. Conclusions: Findings highlight the need to prevent ATP use among college students and in turn inhibit initiation and escalation of cigarette smoking.

Binge Drinking and Alcohol Problems Among Moderate Average-Level Drinkers.

INTRODUCTION: A significant amount of binge drinking among adults escapes public health scrutiny because it occurs among individuals who drink at a moderate average level. This observational study examined the role of a binge pattern of drinking in predicting alcohol problems among moderate drinkers in a U.S. national sample of adults. METHODS: Participants were 1,229 current drinkers aged ≥30 years from 2 waves of the study of Midlife Development in the United States, with a 9-year time lag (2004-2015) (analyzed in 2021‒2022). Negative binomial regression analyses were used to examine the number of alcohol problems, and binary logistic regression analyses were used to examine multiple (≥2) alcohol problems. RESULTS: Independent of the average level of drinking, binge drinking was linked with an almost 3 times increase in the number of concurrent alcohol problems and a 40% increase in the number of alcohol problems prospectively 9 years later. Moderate average level drinkers accounted for most cases of binge drinking and multiple alcohol problems. Among moderate drinkers, binge drinking was linked with a close to 5 times increase in concurrent multiple alcohol problems and a >2 times increase in multiple alcohol problems prospectively 9 years later. CONCLUSIONS: These results substantially broaden an increasing recognition that binge drinking is a public health concern among adults. Moderate average-level drinkers should be included in efforts to reduce alcohol problems in adults. These findings are applicable to primary and secondary prevention of alcohol problems with the potential to advance population health.

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.

Sedentary Behaviors, Sleep, and Health-related Quality of Life in Middle-aged Adults.

Objectives: In this study, we examined the associations of various sedentary behaviors (SB) to health-related quality of life (HRQOL) and the possible mediating role of sleep quality in these relationships. Methods: Participants were 363 middle-aged adults (Mage = 44.25, SD = 4.72, 64% male) from Amazon MTurk. Self-reported measures of socio-demographic status, time spent doing 10 different types of SB, sleep quality, and HRQOL were collected. Exploratory factor analysis was used to classify SB. Mediation analysis with PROCESS for SPPS examined the mediational paths. Results: Exploratory factor analysis categorized 10 sedentary activities into Common Engaging SB, High Engaging/Leisure SB, and Less Engaging/Passive SB. Findings suggested that Common Engaging SB was negatively associated with HRQOL, whereas High Engaging/Leisure SB was positively related to HRQOL. Sleep quality appeared to mediate the associations of Common Engaging SB and High Engaging/Leisure SB to HRQOL. Conclusions: Reducing sitting time, particularly Common Engaging SB, could be a useful strategy to improve HRQOL. Health promotion programs should support mentally engaging leisure activities because such activities might increase middle-aged adults' HRQOL. Additionally, health promotion programs are needed to raise public awareness regarding the importance of sleep quality.

Self-Regulation Strategies Among Community-Dwelling People Aging With Arthritis and Multimorbidity.

Self-regulation strategies of selection, optimization, and compensation (SR-SOC) have been found to predict arthritis self-efficacy and quality of life among community-dwelling people aging with arthritis and multimorbidity. The current study aimed to describe the health resources and chronic disabling symptom characteristics of community-dwelling people aging with arthritis and multimorbidity and investigate how these characteristics influence and predict SR-SOC strategies in managing arthritis multimorbidity after controlling for demographics and comorbidities. One hundred forty individuals aged >50 years completed surveys on demographics, comorbidities, health resources, symptoms, and SR-SOC strategy use frequencies. Descriptive statistics were used to describe sample characteristics. Correlations and multivariate hierarchical stepwise regressions were used to examine the associated characteristics and predictors for SR-SOC strategy use frequency. Lower health literacy, health care provider communication quality, and smaller social network were reported less often than arthritis in general. Significant predictors of SR-SOC strategy use were physical symptoms, health care provider communication quality, and age (p < 0.05). Better symptom management and health care provider communication quality could help promote self-regulation. [Journal of Gerontological Nursing, 47(1), 35-45.].

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.

The effects of insomnia on older adults' quality of life and daily functioning: A mixed-methods study.

Insomnia in older adults has been linked to increased incidence of falls, depression and anxiety, cognitive impairment, institutionalization, and mortality, but traditional sleep assessment instruments, designed for the general adult population, fail to capture many of the experiences and causes that are unique to older adults. This mixed methods study elicited open narratives from 18 older adults (6 men,12 women, mean age 84, SD= 7.62, range 67-96) who reported chronic insomnia or disrupted sleep to learn how poor sleep affected their quality of life and daily functioning. The interviews were supplemented with three widely used self-report sleep instruments to provide baseline sleep quality and hygiene scores. Content analysis of the participants' narratives revealed the overriding theme of Insomnia Is Exhausting, which exemplifies the physical and emotional strain this chronic condition creates, and four categories: A Bad Night, Self-Management, Stoicism and Consequences. The narratives revealed severe, negative effects on quality of life, including reduced functional capacity and increased stress, anxiety, and social isolation. The results of this study can be used as a foundation for interventions to enhance sleep quality for this population.

Self-Regulation Strategies as Predictors: Managing Multimorbidities Among Community-Dwelling People Aging with Arthritis.

Self-regulation (SR) has been defined as consisting of three basic strategies: selection, optimization, and compensation. This study investigates these three SR strategies as predictors of arthritis self-efficacy, quality of life (QOL), and health-care utilization in community-dwelling people aging with arthritis and comorbidities. One hundred forty individuals over age 50 years provided demographic characteristics and completed surveys on comorbidities, health resources, use of SR strategies, symptoms, arthritis self-efficacy, QOL, and health-care utilization. Multivariate hierarchical stepwise regressions were used to examine SR strategies as predictors for arthritis self-efficacy, and together with arthritis self-efficacy as predictors for health-care utilization, and QOL. Physical symptoms; SR strategies, especially optimization; and income adequacy significantly predicted arthritis self-efficacy. Arthritis self-efficacy and mental and physical symptoms significantly predicted QOL. This study adds evidence to support the role of SR strategies, especially optimization, in building arthritis self-efficacy for better self-management and QOL in persons with arthritis and multiple chronic conditions.

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.

Leisure-time physical activity and affective experience in middle-aged and older women.

Many women do not engage in regular physical activity and women's physical activity declines over the life cycle. The present study examines the association of regular leisure-time physical activity with affective experience among 881 middle-aged and older women from the National Survey of Midlife Development in the United States. In multiple linear regression and structural equation analyses, a higher level of leisure-time physical activity was related to more high-arousal and low-arousal positive affect and less high-arousal and low-arousal negative affect. Appreciating positive affective responses associated with physical activity can help to motivate women to engage in regular leisure-time physical activity.

Living With a Smoker and General and Central Adiposity in Middle-Aged and Older Women.

PURPOSE: We hypothesized that living with a smoker would be positively associated with general and central adiposity among middle-aged and older women. DESIGN: Prospective across up to 8 years. SETTING: Women's Health Initiative Observational Study. SAMPLE: A total of 83 492 women (age 50-79 at baseline). MEASURES: The predictor was living with a smoker at baseline. Outcomes were clinic-assessed obesity and high waist circumference, examined cross-sectionally at baseline and prospectively at year 3 and (for self-reported obesity) year 8. ANALYSIS: All analyses used logistic regression and controlled for sociodemographic factors and participants' current smoking; prospective analyses also adjusted for baseline obesity or high waist circumference. RESULTS: Living with a smoker was associated (1) cross-sectionally with obesity (n = 82 692, odds ratio [OR] = 1.38, P < .001) and a high waist circumference (n = 83 241, OR = 1.41, P < .001) and (2) prospectively with obesity (n = 68 753, OR = 1.22, P < .001) and a high waist circumference (n = 68 947, OR = 1.22, P < .001) 3 years later and obesity (n = 38 212, OR = 1.21, P < .001) 8 years later. CONCLUSION: These results document an essentially unrecognized health risk associated with living with a smoker. For practitioners, these findings underscore the need for innovative household-level interventions for families living with a smoker integrating established smoking and obesity prevention efforts.

Drinking Level Versus Drinking Pattern and Cigarette Smoking Among Older Adults.

BACKGROUND: There is a lack of research on the role of alcohol consumption in cigarette smoking among older adults, and the few studies on alcohol use and smoking with older adults have failed to distinguish between average level and pattern of drinking as predictors of smoking. The main purpose of this study was to examine the independent contributions of average level versus pattern of drinking as predictors of cigarette smoking among older adults. A subsidiary purpose was to examine the link between continued smoking and mortality among older smokers. METHODS: We investigated average level and pattern of drinking as predictors of current smoking among 1,151 older adults at baseline and of continued smoking and mortality among the subset of 276 baseline smokers tracked across 20 years. We used multiple linear and logistic regression analyses and, to test mediation, bias-corrected bootstrap confidence intervals. RESULTS: A high level of average drinking and a pattern of episodic heavy drinking were concurrently associated with smoking at baseline. However, only episodic heavy drinking was prospectively linked to continued smoking among baseline smokers. Continued smoking among baseline smokers increased the odds of 20-year mortality and provided an indirect pathway through which heavy episodic drinking related to mortality. CONCLUSIONS: Smokers who misuse alcohol are a challenging population for smoking cessation efforts. Older adults who concurrently misuse alcohol and smoke cigarettes provide a unique target for public health interventions.

Leisure-Time Physical Activity, Subjective Age, and Self-Rated Memory in Middle-Aged and Older Adults.

Memory concerns are common in middle-aged and older adults. This study investigated the relation of leisure-time physical activity to self-rated memory and the possible mediating role of subjective age in this relationship in middle-aged and older adults. Cross-sectional analyses were conducted with a sample of 1,608 middle-aged and older adults from the second wave of the National Survey of Midlife Development in the United States (MIDUS2). In a path analysis conducted with Mplus, a higher level of leisure-time physical activity was associated with a more positive appraisal of memory compared to others of one's age; younger subjective age partially mediated this relationship. Neither gender nor age-group moderated the association. Age, race, education, marital status, health status, and negative affect were controlled for in the analyses. These findings suggest a possible role of physical activity in countering the effects of age stereotypes on perceived memory.

Late-Life Drinking Problems: The Predictive Roles of Drinking Level vs. Drinking Pattern.

OBJECTIVE: Research on late-middle-aged and older adults has focused primarily on average level of alcohol consumption, overlooking variability in underlying drinking patterns. The purpose of the present study was to examine the independent contributions of an episodic heavy pattern of drinking versus a high average level of drinking as prospective predictors of drinking problems. METHOD: The sample comprised 1,107 adults ages 55-65 years at baseline. Alcohol consumption was assessed at baseline, and drinking problems were indexed across 20 years. We used prospective negative binomial regression analyses controlling for baseline drinking problems, as well as for demographic and health factors, to predict the number of drinking problems at each of four follow-up waves (1, 4, 10, and 20 years). RESULTS: Across waves where the effects were significant, a high average level of drinking (coefficients of 1.56, 95% CI [1.24, 1.95]; 1.48, 95% CI [1.11, 1.98]; and 1.85, 95% CI [1.23, 2.79] at 1, 10, and 20 years) and an episodic heavy pattern of drinking (coefficients of 1.61, 95% CI [1.30, 1.99]; 1.61, 95% CI [1.28, 2.03]; and 1.43, 95% CI [1.08, 1.90] at 1, 4, and 10 years) each independently increased the number of drinking problems by more than 50%. CONCLUSIONS: Information based only on average consumption underestimates the risk of drinking problems among older adults. Both a high average level of drinking and an episodic heavy pattern of drinking pose prospective risks of later drinking problems among older adults.

Association of health-related behaviors, attitudes, and appraisals to leisure-time physical activity in middle-aged and older women.

Physical activity carries immediate and long-term benefits for middle-aged and older women; however, physical activity decreases in adulthood and aging in women. In this study, the authors investigate the relation of health behaviors, health attitudes, and health appraisals to leisure-time physical activity among middle-aged and older women in a cross-sectional analysis of the second wave of the Study of Midlife Development in the United States (MIDUS2) conducted during the period from 2004 to 2006. The sample consisted of 829 women, ranging in age from 40 to 75 years of age (Mean = 56 years). In multiple logistic regression analyses, controlling for socio-demographic factors and functional restrictions, most of the psychosocial variables examined showed unique associations with physical activity, including health behaviors of having a routine checkup and not smoking, health attitudes involving commitment to health and valuing physical fitness and strength, and the health appraisal that one's health is better compared to others of the same age. Older women (aged 61-75 years) were less active, but reported greater health commitment than middle-aged women (aged 40-60 years). Neither health commitment nor any other psychosocial variable interacted with age in relation to physical activity. Understanding characteristics of middle-aged and older women who are physically active is essential in tailoring interventions to this population.

Sociodemographic and Psychological Characteristics of Very Light Smoking Among Women in Emerging Adulthood, National Survey of Drug Use and Health, 2011.

INTRODUCTION: Although smoking prevalence and average cigarette consumption have declined, very light smoking (5 or fewer cigarettes per day) has increased. Very light smoking is common among young adult women. This study examines the differences between the sociodemographic and psychosocial factors associated with women in emerging adulthood who are very light smokers and similar women who are at other smoking levels. METHODS: The sample consisted of 9,789 women aged 18 to 25 years who took part in the 2011 National Survey on Drug Use and Health in the United States. Variables were sociodemographic factors, psychological adjustment, substance misuse, smoking attitudes, daily smoking, age at smoking initiation, and nicotine dependence. Analyses used were χ(2) and multinomial logistic regression. RESULTS: Almost a fifth of participants and about three-fifths of smokers were very light smokers (no more than 5 cigarettes per day). Very light smokers were relatively more likely than other smokers to be young (aged 18 to 20), to be from a minority group, and to have some college education. They also were less likely to be married. The characteristics of very light smokers (poor psychological adjustment and tendency to misuse other substances) were similar to the characteristics of other smokers. However, very light smokers were more likely than other smokers to recognize high risks in smoking, less likely to report nicotine dependence, and more likely to be nondaily smokers. CONCLUSION: Prevention programs targeting women in emerging adulthood need to recognize the prevalence of very light smoking in this population. Although comorbid psychological disorders and substance use present challenges, very light smokers' perception of higher smoking risks and lower nicotine dependence compared with that of other smokers provide intervention opportunities.

Drinking Level, Drinking Pattern, and Twenty-Year Total Mortality Among Late-Life Drinkers.

OBJECTIVE: Research on moderate drinking has focused on the average level of drinking. Recently, however, investigators have begun to consider the role of the pattern of drinking, particularly heavy episodic drinking, in mortality. The present study examined the combined roles of average drinking level (moderate vs. high) and drinking pattern (regular vs. heavy episodic) in 20-year total mortality among late-life drinkers. METHOD: The sample comprised 1,121 adults ages 55-65 years. Alcohol consumption was assessed at baseline, and total mortality was indexed across 20 years. We used multiple logistic regression analyses controlling for a broad set of sociodemographic, behavioral, and health status covariates. RESULTS: Among individuals whose high level of drinking placed them at risk, a heavy episodic drinking pattern did not increase mortality odds compared with a regular drinking pattern. Conversely, among individuals who engage in a moderate level of drinking, prior findings showed that a heavy episodic drinking pattern did increase mortality risk compared with a regular drinking pattern. Correspondingly, a high compared with a moderate drinking level increased mortality risk among individuals maintaining a regular drinking pattern, but not among individuals engaging in a heavy episodic drinking pattern, whose pattern of consumption had already placed them at risk. CONCLUSIONS: Findings highlight that low-risk drinking requires that older adults drink low to moderate average levels of alcohol and avoid heavy episodic drinking. Heavy episodic drinking is frequent among late-middle-aged and older adults and needs to be addressed along with average consumption in understanding the health risks of late-life drinkers.

Living With a Smoker and Physical Inactivity: An Unexplored Health Behavior Pathway.

PURPOSE: The present study investigated an unexplored health behavior pathway: the association between living with a smoker and physical inactivity. DESIGN: The study performed an analysis of cross-sectional data from the second wave of the Survey of Midlife Development in the United States (2004-2006). SUBJECTS: The sample included 1050 women and 945 men, ages 30 to 84 years (mean, 56.5 years). MEASURES: In addition to control variables, survey items indexed presence of a smoker in the respondent's home, and physical inactivity and low health commitment on the part of the respondent. ANALYSIS: Analysis employed multiple logistic regression analyses, controlling for sociodemographic factors as well as health restrictions on physical activity and respondents' current smoking status. RESULTS: Living with a smoker was linked to 56% higher odds of physical inactivity. Low health commitment mediated this association. Living with a smoker was linked to lower health commitment (B = .31), and low health commitment was linked in turn to increased odds of physical inactivity (odds ratio, 1.36). CONCLUSIONS: The increased health risk among individuals living with a smoker is assumed to be a function of exposure to secondhand smoke. We demonstrate an unexplored behavioral pathway involving a link between living with a smoker and physical inactivity. These findings suggest that household smoking bans may have broad health behavior effects beyond reducing smoking.

Episodic heavy drinking and 20-year total mortality among late-life moderate drinkers.

BACKGROUND: Analyses of moderate drinking have focused overwhelmingly on average consumption, which masks diverse underlying drinking patterns. This study examined the association between episodic heavy drinking and total mortality among moderate-drinking older adults. METHODS: At baseline, the sample was comprised of 446 adults aged 55 to 65; 74 moderate drinkers who engaged in episodic heavy drinking and 372 regular moderate drinkers. The database at baseline also included a broad set of sociodemographic, behavioral, and health status covariates. Death across a 20-year follow-up period was confirmed primarily by death certificate. RESULTS: In multiple logistic regression analyses, after adjusting for all covariates, as well as overall alcohol consumption, moderate drinkers who engaged in episodic heavy drinking had more than 2 times higher odds of 20-year mortality in comparison with regular moderate drinkers. CONCLUSIONS: Among older moderate drinkers, those who engage in episodic heavy drinking show significantly increased total mortality risk compared to regular moderate drinkers. Episodic heavy drinking-even when average consumption remains moderate-is a significant public health concern.

Social influences on smoking in American workers: the role of the presence of smokers in the workplace and in the home.

PURPOSE: To examine the relationship between the presence of smokers in the workplace and smokers in the home and current smoking status among employed men and women. DESIGN: Analysis of data from the second wave of the nationally representative Survey of Midlife Development in the United States (2004-2006). SUBJECTS: Sample of 627 currently employed men and women, aged 34 to 82 (M = 51), who had been regular cigarette smokers at some time. MEASURES: Survey items indexing presence of smokers in the respondents' immediate work area and home and their current smoking status. ANALYSIS: Multiple logistic regression analyses, controlling for age, gender, education, race, and job type. RESULTS: Examined together, smokers in the workplace (OR = 2.83) and smokers in the home (OR = 6.09) were uniquely associated with current smoking status. Moreover, smokers in the home reduced the association between smokers in the workplace and current smoking. The presence of smokers in the workplace was associated with a more than fourfold increase in current smoking among respondents with no smokers in the home, but was unrelated to current smoking among respondents with smokers in the home. CONCLUSIONS: Failure to consider the presence of smokers in the home significantly limits the potential impact of workplace smoking interventions.