Coping strategies predict daily emotional reactivity to stress: An ecological momentary assessment study.

BACKGROUND: Emotional reactivity predicts poor health and psychopathology. Despite its theoretical importance, little research has tested whether coping predicts emotional reactivity to stressors. We analyse three studies to test this hypothesis for negative (NA) and positive affect (PA) reactivity to daily stressors. METHODS: 422 Participants (72.5 % females, Mage = 22.79 ± 5.36) came from three longitudinal, ecological momentary assessment (EMA) studies across 7-15 days (ACES N = 190; DESTRESS N = 134; SHS N = 98). Coping was measured at baseline. NA, PA, and daily stressors were assessed via EMA. Mixed effects linear models tested whether coping predicted NA and PA reactivity, defined as their slope on within- and between-person daily stressors. RESULTS: Behavioural disengagement and mental disengagement coping predicted greater within-person NA reactivity across all studies (all p < .01, all f2 = 0.01). Denial coping predicted greater within-person NA reactivity in ACES and DESTRESS (both p < .01, f2 from 0.02-0.03) and between-person in ACES and SHS (both p < .01, f2 from 0.02 to 0.03). For approach-oriented coping, only active planning coping predicted lower within-person NA reactivity and only in DESTRESS (p < .01, f2 = 0.02). Coping did not predict PA reactivity (all p > .05). LIMITATIONS: Our findings cannot be generalised to children or older adults. Emotional reactivity to daily stressors may differ from severe or traumatic stressors. Although data were longitudinal, the observational design precludes establishing causality. CONCLUSIONS: Avoidance-oriented coping strategies predicted greater NA reactivity to daily stressors with small effect sizes. Few and inconsistent results emerged for approach-oriented coping and PA reactivity. Clinically, our results suggest that reducing reliance on avoidance-oriented coping may reduce NA reactivity to daily stressors.

How much does sleep vary from night-to-night? A quantitative summary of intraindividual variability in sleep by age, gender, and racial/ethnic identity across eight-pooled datasets.

Habitual sleep duration and efficiency vary widely by age, gender, and racial/ethnic identity. Despite growing research on the importance of night-to-night, intraindividual variability (IIV) in sleep, few studies have examined demographic differences in sleep IIV. The present study describes typical sleep IIV overall and by demographics among healthy sleepers. Eight datasets of healthy sleepers (N = 2,404; 26,121 total days of sleep data) were synthesised to examine age, gender, and racial/ethnic identity differences in sleep IIV measured via diaries, actigraphy, and electroencephalography (EEG). Sleep IIV estimates included the intraindividual standard deviation (iSD), root mean square of successive differences (RMSSD), coefficient of variation (CV), and a validated Bayesian Variability Model (BVM). There was substantial IIV in sleep across measurement types (diary, actigraphy, EEG) for both sleep duration (iSD: 85.80 [diary], 77.41 [actigraphy], 67.04 [EEG] minutes; RMSSD: 118.91, 108.89, 91.93 minutes; CV: 19.19%, 19.11%, 18.57%; BVM: 60.60, 58.20, 48.60 minutes) and sleep efficiency (iSD: 5.18% [diary], 5.22% [actigraphy], 6.46% [EEG]; RMSSD: 7.01%, 7.08%, 8.44%; CV: 5.80%, 6.27%, 8.14%; BVM: 3.40%, 3.58%, 4.16%). Younger adults had more diary and actigraphy sleep duration IIV. Gender differences were inconsistent. White and non-Hispanic/Latinx adults had less IIV in sleep duration and efficiency compared to racial/ethnic minority groups. Even among healthy sleepers, sleep varies widely from night-to-night. Like mean sleep, there also may be disparities in IIV in sleep by demographic characteristics. Study results help characterise normative values of sleep IIV in healthy sleepers.