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.

Examining negative affect, sleep duration, and using food to cope as predictors of weight in midlife women.

Midlife women are vulnerable to developing obesity. Behavioral and psychosocial factors including sleep duration, stress eating, and negative emotionality are risk factors. However, little is known about the complex daily interplay between sleep, eating, emotion, and weight among midlife women. The current study examined how daily sleep, using food to cope, and negative emotionality are associated with weight using a daily process research design. An archival analysis was performed using the Midlife in the United States-II study (MIDUS II). The sample consisted of 489 midlife women (40-64 years of age). Variables included ecological momentary assessments of daily sleep duration, using food to cope, and negative affect (means and intraindividual variability) and a standardized measurement of BMI. Sleep duration variability was a significant predictor of BMI, albeit the model only accounted for .8% of the variance in BMI (b = .019, p < .05). In the final adjusted model, sleep duration variability, using food to cope, age, and physical activity were all significant predictors of BMI F(5, 559) = 21.503, p < .001, R2 = .161, ⨂R2 = .024, p = .001. Variability in negative affect, mean sleep duration or negative affect and the interactions between sleep duration (mean, variability) and negative affect (mean, variability) were not significant. Greater variability in sleep duration and greater use of food to cope predicted higher BMI in this sample across age and physical activity levels. Results highlight that daily health and psychosocial factors play an important role in weight.

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.

The Sleep Regularity Questionnaire: development and initial validation.

BACKGROUND/OBJECTIVE: Sleep is a critically important behavior which influences diverse aspects of health, functioning, and longevity. An increasing literature suggests the importance of sleep regularity, also referred to as sleep inconsistency, sleep variability, or intraindividual variability in sleep. Given there is no brief, subjective measure of sleep regularity, the purpose of this study was to develop the Sleep Regularity Questionnaire (SRQ) and to begin the process of examining its psychometric properties using a construct-validation approach. PARTICIPANTS/METHODS: In an online study of sleep and health, participants (n = 3249; Mage (SD) = 42.77 (16.73); 48.5% female; 77.3% white) completed the in-development SRQ, as well as the Insomnia Severity Index and the Pittsburgh Sleep Quality Index. RESULTS: An exploratory factor analysis followed by a confirmatory factor analysis revealed a two factor structure, represented by circadian regularity and sleep continuity regularity, with good model fit indices (X2 = 50.9, df = 7, p < 0.001; RMSEA = 0.06; CFI = 0.99; NFI = 0.99; IFI = 0.99; TLI = 0.98). Test-retest reliability, as well as concurrent, convergent and incremental validity were examined, with promising results. CONCLUSIONS: Preliminary psychometrics suggest that the SRQ is a valid and stable instrument for the assessment of sleep regularity in adults that is related to, but distinct from, other established sleep constructs. Future research will benefit from assessing the validity of the SRQ in various clinical samples and how it compares to measures of sleep regularity calculated from prospective daily assessments.

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.

Trading likes for sleepless nights: A lifespan investigation of social media and sleep.

OBJECTIVES: The present study sought to examine the association between social media use and sleep and whether the association differed by age. METHODS: Total 3,284 adults (M age = 42.74, SD = 16.72; 48.5% female; 80.8% White) participated in an online study of sleep and health across the lifespan. Sleep quality and duration were assessed using the Pittsburg Sleep Quality Index (PSQI). Participants reported the total time they spent using social media daily. RESULTS: Greater social media use was associated with poorer sleep quality (P < .001) and shorter sleep duration (P= .002). Age moderated the relationship between social media use and sleep quality (P= .006), as well as duration (P= .001). The strength of the associations between social media and sleep increased with age. CONCLUSION: The findings highlight potential adverse sleep outcomes associated with social media use. They also provide preliminary evidence suggesting the need for further exploration of age-related processes involved in social media use and sleep.

The Rhythm is Gonna Get You: Social Rhythms, Sleep, Depressive, and Anxiety Symptoms.

BACKGROUND: Social rhythmicity refers to the regularity with which one engages in social and lifestyle activities. Social rhythms have important implications for health and well-being including the prevention and treatment of mental health disorders. Existing research on social rhythmicity has focused on the link with bipolar disorder and, to a lesser extent, with depression. However, it is unclear how social rhythms are tied to anxiety disorders or what might mediate this association. Sleep shows potential as an underlying link, particularly sleep behaviors and sleep thoughts. METHODS: The current study used a sample of 3,284 adults to examine the role of sleep thoughts and behaviors as mediators of the association between social rhythms and mental health symptoms of depression and anxiety. RESULTS: Parallel mediation models revealed that greater social rhythmicity is directly associated with fewer depressive and anxiety symptoms, and that healthier sleep behaviors and thoughts mediate this association. LIMITATIONS: This study used cross-sectional data and was limited in racial and ethnic diversity. CONCLUSIONS: The findings highlight the critical role lifestyle regularity plays in depressive and anxious symptom pathology in a large sample of adults across the lifespan. Results also highlight the complementary roles for both sleep behaviors and thoughts by demonstrating their concurrent links between regularity and mental health. Future work is needed to further disentangle the association of these constructs with mental health.