A comprehensive investigation of the association between menopause symptoms and problematic eating behavior in peri- and post-menopause cisgender women.

Midlife individuals assigned female at birth are at risk for problematic eating behavior, associated with negative health outcomes. Little is known about how menopausal symptoms may increase risk in this population. The current study aimed to understand how a comprehensive range of menopause symptoms were globally associated with problematic eating behaviors. A total of 281 cisgender women (176 post-menopause, 105 peri-menopause) from the United States aged 40 to 64 were recruited utilizing Prolific, an online survey platform. Participants answered questionnaires about menopause symptoms and problematic eating. Participants were selected using demographic and health information provided in a screener survey. Participants also completed the Eating Disorder Questionnaire (EDE-Q), Women's Health Questionnaire (WHQ), Patient Health Questionnaire-8 (PHQ-8), Generalized Anxiety Disorder-7 (GAD-7), and Pittsburgh Sleep Quality Index (PSQI). Using Structural Equation Modeling, menopause symptoms explained 16.7 percent of the variance in problematic eating. Higher frequency and severity of anxiety, depression, sleep concerns, cognitive complaints, pain, and vasomotor symptoms was associated with greater frequency and severity of problematic eating behaviors, ß = .40, p < .001. Invariance testing showed no significant differences between peri- and postmenopausal women. These findings support the association between menopause symptoms and problematic eating in Midlife cisgender women and highlight the need for continued investigation.

A longitudinal examination of psychosocial mechanisms linking discrimination with objective and subjective sleep.

OBJECTIVE: Although chronic discrimination negatively impacts sleep, the cross-sectional nature of most research limits the understanding of how changes in discrimination over time are associated with sleep health. Therefore, the aims of this study were to explore the: (1) longitudinal association between daily discrimination and subjective and objective sleep; (2) mediating roles of anxiety and social well-being; and (3) moderating role of change in discrimination over time. METHODS: An archival analysis was completed using data from the Midlife in the United States study across 3 timepoints. Participants were primarily female-identifying, white, and college-educated. Measures included Pittsburgh Sleep Quality Index (N = 958), sleep diaries (N = 307), and actigraphy (N = 304). Daily discrimination, the Social Well-Being Scale, and the Mood and Anxiety Symptom Questionnaire were also administered. Moderated parallel mediations were performed using the PROCESS macro controlling for depressive symptoms. RESULTS: More discrimination at time 1 was associated with worse global sleep quality (b = 0.10 and p = .001) and daily sleep quality (b = 0.03 and p = .02) and worse objective sleep-onset latency (b = 0.93 and p = .02), wake after sleep onset (b = 1.09 and p = .002), and sleep efficiency (b = -0.52 and p < .001) at time 3. Social well-being mediated the associations between discrimination and subjective global sleep quality 95% CI [0.00, 0.03] and daily sleep quality 95% CI [0.00, 0.01] and objective TST 95% CI [0.00, 0.96] when discrimination was increasing or chronic. Anxiety mediated the discrimination-global sleep quality association regardless of changes in discrimination. CONCLUSIONS: Discrimination showed durable associations with a broad array of sleep outcomes across a 10-year period. Anxiety and social well-being linked discrimination to subjective sleep outcomes, illustrating the importance of psychosocial well-being for sleep health in those experiencing discrimination.

Interrupted lullabies: the association between menopausal symptoms and sleep variability in peri- and post-menopausal women.

Poor sleep is a reality for many midlife women experiencing menopause. Although much empirical attention has been allocated toward ameliorating vasomotor symptoms and related consequences, less focus has been given toward sleep, specifically sleep variability, in menopausal women. The present study aimed to determine the association between menopausal symptoms and night-to-night sleep variability among peri- and post-menopausal women. Participants were 220 menopausal women (42.3 percent peri-menopausal, 57.7 percent post-menopausal) aged 40 to 64 from the United States recruited via Prolific, and online platform. The current study conducted secondary analyses on data collected as part of a larger investigation on midlife women from the United States. A structural equation model assessed associations between a latent menopausal symptom construct, composed of several Women's Health Questionnaire domains, and a latent sleep variability construct, composed of sleep diary indices. Menopausal symptoms were associated with latent sleep variability (ß = 0.49, p < .05); greater experience of menopausal symptoms was associated with more night-to-night sleep variability (medium effect size). Waking after sleep onset (WASO) was the sole significant indicator of the latent sleep factor. The findings highlight the importance of menopausal symptoms for sleep variability, specifically wakefulness. As such, wakefulness may be an important target for sleep interventions for menopausal women. The findings further suggest a need for more research and interventions targeted toward understanding and ameliorating the impact of menopausal symptoms on night-to-night wakefulness overall.

Sleep and self-efficacy: The role of domain specificity in predicting sleep health.

OBJECTIVES: Although a number of empirically supported sleep interventions exist, sleep-related beliefs remain largely unexplored as clinical tools for enhancing existing interventions. The present study aimed to determine the differential associations between general and sleep self-efficacy with sleep health among a sample of adults PARTICIPANTS: Participants were 3284 adults (Mean Age = 43 years, 48.5% female, 6.4% other-identifying, 80.8% white). MEASUREMENTS: Participants completed measures of self-efficacy (general and sleep self-efficacy) and sleep health as part of their involvement in a larger online study. General self-efficacy and sleep self-efficacy were measured with the General Self-Efficacy and Sleep Self-Efficacy scales respectively. Sleep was assessed with the RegUlarity, Satisfaction, Alertness, Timing, Efficiency, Duration scale. A structural equation model was conducted to determine the associations between measures of general and sleep self-efficacy and sleep health, represented by 2-factors derived from the RegUlarity, Satisfaction, Alertness, Timing, Efficiency, Duration measure. RESULTS: The structural model evidenced adequate to good fit to the data and indicated that both general and sleep self-efficacies were directly associated with the latent sleep quality/quantity and circadian rhythm outcomes. Higher general and sleep self-efficacies were positively associated with sleep regularity, timing, and alertness. Higher sleep self-efficacy and lower general self-efficacy were associated with higher sleep satisfaction, duration, and efficiency. CONCLUSIONS: Findings highlight the importance of domain specificity in the association between self-efficacy and sleep health outcomes. There is a need for more research into and application of interventions targeted toward increasing sleep self-efficacy as a potential avenue to improve sleep health.

Sleep and Social Wellness: Does Current Subjective and Objective Sleep Inform Future Social Well-Being?

OBJECTIVES: The present study aimed to investigate the link between sleep and broader social well-being. Specifically, the current study evaluated whether subjective and objective sleep indices were associated with subsequent social well-being. METHODS: The archival data from the Midlife in the United States Study (MIDUS II and III, Project 1 and 4) were utilized for the current investigation. The participants completed cross-sectional surveys as part of their involvement in both study waves, 10 years apart. They were 213 adults, 59.6% female-identifying, with an average age of 56 years, who completed 8 days of sleep measurement via wrist actigraphy, sleep diary, as well as the PSQI. The participants also completed the measures of depressive symptoms and social well-being. RESULTS: The actigraphic total sleep time, the diary-reported sleep quality, and the global sleep quality measured by the PSQI emerged as the significant predictors of social well-being over a 10-year period. CONCLUSIONS: The present study is an initial step in providing evidence for the importance of sleep for social functioning. Future research should attend to the association between past sleep behaviors and social functioning, specifically the mechanisms by which sleep is associated with social well-being as well as the temporal associations in an adult sample.

Examining and Promoting Sleep Health in the Undergraduate Classroom: A Mixed-Methods Approach.

Objective: Although college students are at heightened risk for sleep disturbances, healthy sleep is associated with positive physical, cognitive, psychological, and academic benefits for this group. The goals of the current study were to (1) describe sleep health in an undergraduate college sample and (2) examine the role of a class activity using self-determination theory to promote better sleep health in this group. Methods: A cohort study was conducted using data drawn from class activities conducted in two undergraduate Introduction to Psychology courses. Students were undergraduates at a mid-Atlantic public university in the United States. Total sample size was N = 224 (intervention class [n = 98], and the control class [n = 127]). Both the intervention and control classes completed the RU SATED sleep health questionnaire at the beginning and the end of the semester. The intervention class also completed a self-determination activity focused on sleep health mid-semester. Both the RU SATED questionnaires and the self-determination activities were completed via in-class responder technology. Data were de-identified and downloaded from the responder technology at the end of the semester. Mixed methods were used for data analysis including quantitative analyses and a qualitative approach using a phenomenological, inductive, and reflexive qualitative method whereby themes were allowed to emerge from the data. Results: Overall, almost 25% of the students reported never or rarely obtaining healthy sleep on average. The majority (76%) said they sometimes have healthy sleep and no students reported usually or always obtaining healthy sleep. The components of sleep health the entire sample scored highest on were timing (sleeping between 2 and 4 AM), sleep duration (between 7 and 9 h), and staying awake during the day. The areas they scored the lowest on were maintaining regular bed and wake times, spending less than 30 min awake at night, and feeling satisfied with their sleep. Qualitatively, the most frequently obtained sleep health behaviors of the intervention class were rhythmicity, prioritizing sleep, timing of sleep, and tech hygiene. The intervention class had significantly better sleep health across the entire semester and significantly better daytime alertness post-intervention. The most commonly chosen sleep health behaviors to change were sleep hygiene, tech hygiene, and stimulus control. Conclusion: We examined the classroom environment as a venue for promoting sleep health among college students. Given the popularity of Introduction to Psychology courses, this class is a promising avenue to deliver sleep health promotions to a large number of students. The implementation of a self-determination framework, as part of sleep health promotion, shows potential for creating a person-centered, strengths-based approach to health behavior change within this population.

Practice Does Not Make Perfect: The Tireless Pursuit of Achieving Perfect Sleep.

OBJECTIVE: Perfectionism is consistently identified as a predisposing and perpetuating factor for a wide range of mental health conditions and disorders. Given the unique cognitive, emotional, and physiological characteristics associated with perfectionism, perfection could have serious implications for a critical health behavior-our sleep. The current study examines the links between perfectionism and sleep health with the goal of identifying potential sleep-related beliefs as underlying mechanisms. METHODS: Participants were 417 undergraduate students at a large, public university in the mid-Atlantic United States. Participants completed a one-time online survey with the Almost Perfect Scale-Revised, the Dysfunctional Beliefs about Sleep Scale, Perceived Competence Scale about their sleep, and the RU SATED sleep health scale. RESULTS: A two-step structural equation modeling strategy was used. Greater perfectionism discrepancies predicted greater dysfunctional beliefs about sleep (ß = 0.45) and worse perceived sleep competence (ß = -0.33). Moreover, greater dysfunctional beliefs and worse perceived sleep competence predicted worse sleep health (ß = -0.23 and 0.59, respectively). Dysfunctional beliefs and perceived sleep competence significantly mediated the effect of maladaptive perfectionism on sleep health (ß = -0.302). DISCUSSION: Dysfunctional beliefs and sleep competence emerged as mechanisms through which maladaptive perfectionism may function as a barrier to healthy sleep. Although prior research positions perfectionism as a primary correlate of poor sleep, the current study identifies the role of beliefs about sleep as the pathway from perfectionism to poorer sleep health. The results highlight the importance of addressing both maladaptive beliefs about sleep as well as beliefs about one's own sleep competency with undergraduate students with higher maladaptive perfectionism.

Lifestyle Factors and Sleep Health across the Lifespan.

Sleep health, operationalized as a multidimensional construct consisting of sleep regularity, satisfaction, alertness, timing, efficiency, and duration, is an emerging concept in the field of sleep medicine which warrants further investigation. The purpose of the present study was to: (1) compare sleep health across the lifespan, (2) determine lifestyle factors associated with sleep health, and (3) examine whether lifestyle factors associated with sleep health varied between and within age groups. Participants consisted of 3284 individuals (Mean age = 42.70; 45% male) who participated in a cross-sectional online survey of sleep and health. Sleep health was measured using the RU-SATED scale, while demographic and lifestyle factors (e.g., daily social media use, sedentary activity, fast food consumption, etc.) were all self-reported. Sleep health was the highest among older adults (M = 8.09) followed by middle-aged (M = 7.65) and younger adults (M = 7.16). Across age groups, fast-food consumption, daily regularity, and daily TV, social media, or internet use were all negatively correlated with sleep health (ps < 0.05). Few differences in the association between lifestyle factors and sleep health across age groups were found. Overall, these findings may help to inform sleep health promotion efforts by targeting the most pertinent lifestyle factors for promoting sleep health.