Negative Emotion Differentiation Attenuates the Within-Person Indirect Effect of Daily Stress on Nightly Sleep Quality Through Calmness

Moderating effect of negative emotion differentiation in chronic stress and fatigue among Chinese employees

Introduction

According to the reactivity hypothesis and the diathesis-stress model, repeated activation of the stress system has a negative effect on health, and this effect may differ because of individual characteristics. Thus, the present study explores the effect of chronic stress on fatigue and investigates its mechanism.

Methods

A questionnaire survey of 288 participants selected from the northwest part of China was conducted (13.89% females; ages ranged from 18 to 34 years, with M ± SD = 23.14 ± 3.79 years) on chronic stress, fatigue, depression, anxiety, and negative emotion differentiation. SPSS 28.0 was used to process descriptive statistics and correlation analysis and the PROCESS macro was used to analyze the moderated chained multi-mediation.

Results

Chronic stress was found to be positively correlated with fatigue, depression, and anxiety; depression and anxiety played a chained multi-mediating role between chronic stress and fatigue, and negative emotion differentiation played a moderating role in the chained multi-mediation model.

Discussion

Compared with depression, anxiety plays a more important role in the influence of chronic stress on fatigue. Therefore, it is necessary to pay more attention to anxiety symptoms and take appropriate intervention measures. Negative emotion differentiation plays a moderating role. Improving negative emotion differentiation through mindfulness and adaptive emotion regulation is an effective way to reduce the influence of chronic stress on fatigue.

Exploring Within-Person Variability in Qualitative Negative and Positive Emotional Granularity by Means of Latent Markov Factor Analysis

Emotional granularity (EG) is an individual's ability to describe their emotional experiences in a nuanced and specific way. In this paper, we propose that researchers adopt latent Markov factor analysis (LMFA) to investigate within-person variability in qualitative EG (i.e., variability in distinct granularity patterns between specific emotions across time). LMFA clusters measurement occasions into latent states according to state-specific measurement models. We argue that state-specific measurement models of repeatedly assessed emotion items can provide information about qualitative EG at a given point in time. Applying LMFA to the area of EG for negative and positive emotions separately by using data from an experience sampling study with 11,662 measurement occasions across 139 participants, we found three latent EG states for the negative emotions and three for the positive emotions. Momentary stress significantly predicted transitions between the EG states for both the negative and positive emotions. We further identified two and three latent classes of individuals who differed in state trajectories for negative and positive emotions, respectively. Neuroticism and dispositional mood regulation predicted latent class membership for negative (but not for positive) emotions. We conclude that LMFA may enrich EG research by enabling more fine-grained insights into variability in qualitative EG patterns.

Emotion differentiation among individuals in a randomized clinical trial for alcohol use disorder: Within- and between-person associations with affect, craving, and alcohol use in daily life

Emotion differentiation refers to cognitively distinguishing among discrete, same-valenced emotions. Negative emotion differentiation (NED) is a transdiagnostic indicator of emotional functioning. The role of positive emotion differentiation (PED) in clinical disorders, including alcohol use disorder (AUD), is less understood. Further, despite consensus that emotions are highly variable, little is known about within-person fluctuations in NED/PED. The current study leveraged 84 consecutive daily smartphone surveys from participants (N = 181) in a clinical trial of cognitive behavioral therapy for AUD to investigate whether between-person differences in overall NED/PED, or within-person variability in daily NED/PED, were associated with affect intensity, craving, drinking, and heavy drinking in daily life. Subsequent analyses explored whether associations were moderated by baseline alexithymia. At the between-persons level, greater average PED, but not NED, was associated with lower heavy drinking odds. At the within-persons level, higher-than-usual PED was associated with lower negative affect and odds of any drinking. Individuals with baseline alexithymia had stronger negative within-person associations between daily NED and both any and heavy drinking. PED is a skill linked to less alcohol use between- and within-persons irrespective of baseline alexithymia, whereas greater daily NED appears especially important for reduced alcohol use among individuals with co-morbid AUD and alexithymia.

The impact of social rhythm and sleep disruptions on waist circumference after job loss: A prospective 18-month study

OBJECTIVE

This study prospectively examined change in waist circumference (WC) as a function of daily social rhythms and sleep in the aftermath of involuntary job loss. It was hypothesized that disrupted social rhythms and fragmented/short sleep after job loss would independently predict gains in WC over 18 months and that resiliency to WC gain would be conferred by the converse.

METHODS

Eligible participants (n = 191) completed six visits that included standardized measurements of WC. At the baseline visit, participants completed the social rhythm metric and daily sleep diary and wore an actigraph on their nondominant wrist each day for a period of 2 weeks.

RESULTS

When controlling for obesity and other covariates, WC trajectories decreased for individuals with more consistent social rhythms, more activities in their sdiocial rhythms, and higher sleep quality after job loss. WC trajectories did not change for individuals with lower scores on these indicators.

CONCLUSIONS

The frequency and consistency of social rhythms after job loss play a key role in WC loss. These findings support the implementation of social rhythm interventions after job loss, a potentially sensitive time for the establishment of new daily routines that have an impact on metabolic health.