Sickness and sleep health predict frustration and affective responses to a frustrating trigger

Sleep and nighttime behavior disorders in older adults: associations with hypercholesterolemia and hypertriglyceridemia at baseline, and a predictive analysis of incident cases at 12 months follow-up

INTRODUCTION

Sleep disorders, particularly insomnia and obstructive sleep apnea, are associated with dyslipidemia in the general population. The study's aim was to explore the association between pathological Cholesterol and Triglyceride levels, and sleep and nighttime behavior disorders (SNBD) in older adults, whether they might predict SNBD onset, and to emphasize the role of body mass index (BMI) in this association.

METHODS

Alzheimer's Disease Neuroimaging Initiative (ADNI) population with complete Cholesterol, Triglyceride, SNBD, and neurocognitive data were included. Logistic regression was performed to study the association between hypercholesterolemia, hypertriglyceridemia, and SNBD at baseline and at 12 months. Relevant confounders, particularly BMI, were adjusted for.

RESULTS

Among the 2,216 included cases, 1,045 (47%) were females, and the median age was 73 years (IQR: 68, 78). At baseline, 357 (16%) had SNBD and 327 (18%) at 12 months; 187 of them were incident cases. There were more cases of baseline SNBD in the hypertriglyceridemia group than in those without (19% vs. 14%, P-value = 0.003). Similarly, more follow-up SNBD cases had hypertriglyceridemia at baseline (21% vs. 16%, P-value = 0.025). SNBD cases at baseline had significantly higher serum Triglyceride levels than those without (132 vs. 118mg/dL, P-value < 0.001). Only hypertriglyceridemia was significantly associated with baseline SNBD (crude OR = 1.43, 95%CI: 1.13,1.80, P-value = 0.003), even after adjustment for confounding factors (adj. OR = 1.36, 95%CI: 1.06,1.74, P-value = 0.016) and (BMI-adj. OR = 1.29, 95%CI: 1.00,1.66, P-value = 0.048). None of the dyslipidemia forms did predict incident cases at 12 months.

CONCLUSIONS

Hypertriglyceridemia, but not hypercholesterolemia, was associated with higher odds of SNBD. The association was independent of BMI. None of the dyslipidemia forms did predict incident SNBD over 12 months. Sleep disorders should motivate a systematic screening of dyslipidemia in older adults and vice versa.

High serum Cholesterol and Triglyceride levels in older adults: associations with sleep and nighttime behavior disorders at baseline and a prediction analysis of incidental cases at 12 months follow-up

Introduction

This study explored the association between dyslipidemia and sleep and nighttime behavior disorders (SNBD) in the elderly.

Methods

ADNI population with complete Cholesterol, Triglyceride, SNBD, and neurocognitive data were included. Logistic regression was performed to study the association between dyslipidemia and SNBD at baseline and 12 months. Relevant confounders were adjusted for.

Results

Among the 2,216 included cases, 1,045 (47%) were females, and the median age was 73 (IQR: 68, 78). At baseline, 357 (16%) had SNBD, and 327 (18%) at 12 months; 187 were incident cases.There were more cases of baseline SNBD in the hypertriglyceridemia group than in those without (19% vs. 14%, p-value=0.003). Similarly, more follow-up SNBD cases had hypertriglyceridemia at baseline (21% vs. 16%, p-value=0.025). SNBD cases at baseline had significantly higher serum Triglyceride levels than those without (132 vs. 118mg/dL, p-value<0.001).Only hypertriglyceridemia was significantly associated with baseline SNBD (crude OR=1.43, 95%CI: 1.13,1.80, p-value=0.003), even after adjustment for confounding factors (adj.OR=1.36, 95%CI: 1.06,1.74, p-value=0.016) and (BMI-adj.OR=1.29, 95%CI: 1.00,1.66, p-value=0.048). None of the dyslipidemia forms did predict incident cases at 12 months.

Conclusions

Hypertriglyceridemia, but not hypercholesterolemia, was associated with higher odds of SNBD. None of the dyslipidemia forms predicted incidental SNBD over 12 months.

Delay frustration in children who do and do not stutter: A preliminary study

PURPOSE

Frustration is an emotion often clinically reported by persons who stutter. So far, mainly questionnaire-based studies have reported findings related to increased frustration or decreased frustration tolerance. The aim of this preliminary study was to determine possible group differences between children who stutter (CWS) and children who do not stutter (CWNS) using a behavioral experimental task, as well as to evaluate possible associations with the frequency, duration, and physical concomitants of stuttering disfluencies.

METHOD

Participants were 13 CWS (mean age = 6;05 years) and 13 CWNS (mean age = 6;06 years), matched on age (±4 months) and gender. Frustration tolerance was assessed by the Delay Frustration task. This task includes normal delay, short delay, and long delay trials. Responses during long delay trials provide an indication of frustration tolerance and were recorded across time intervals during the response window.

RESULTS

CWS, compared to CWNS, responded more frequently during the long delay trials, which is indicative of higher delay frustration. The variation in responding across time within intervals was similar for both groups. Decreased frustration tolerance was associated with increased duration of stuttered disfluencies and of physical concomitants.

CONCLUSIONS

In general, the current findings seem to provide support for earlier theoretical conceptualizations about the role of emotional reactivity in the development of stuttering.

Tracking Subjective Sleep Quality and Mood With Mobile Sensing: Multiverse Study

Background

Sleep influences moods and mood disorders. Existing methods for tracking the quality of people’s sleep are laborious and obtrusive. If a method were available that would allow effortless and unobtrusive tracking of sleep quality, it would mark a significant step toward obtaining sleep data for research and clinical applications.

Objective

Our goal was to evaluate the potential of mobile sensing data to obtain information about a person’s sleep quality. For this purpose, we investigated to what extent various automatically gathered mobile sensing features are capable of predicting (1) subjective sleep quality (SSQ), (2) negative affect (NA), and (3) depression; these variables are associated with objective sleep quality. Through a multiverse analysis, we examined how the predictive quality varied as a function of the selected sensor, the extracted feature, various preprocessing options, and the statistical prediction model.

Methods

We used data from a 2-week trial where we collected mobile sensing and experience sampling data from an initial sample of 60 participants. After data cleaning and removing participants with poor compliance, we retained 50 participants. Mobile sensing data involved the accelerometer, charging status, light sensor, physical activity, screen activity, and Wi-Fi status. Instructions were given to participants to keep their smartphone charged and connected to Wi-Fi at night. We constructed 1 model for every combination of multiverse parameters to evaluate their effects on each of the outcome variables. We evaluated the statistical models by applying them to training, validation, and test sets to prevent overfitting.

Results

Most models (on either of the outcome variables) were not informative on the validation set (ie, predicted R²≤0). However, our best models achieved R² values of 0.658, 0.779, and 0.074 for SSQ, NA, and depression, respectively on the training set and R² values of 0.348, 0.103, and 0.025, respectively on the test set.

Conclusions

The approach demonstrated in this paper has shown that different choices (eg, preprocessing choices, various statistical models, different features) lead to vastly different results that are bad and relatively good as well. Nevertheless, there were some promising results, particularly for SSQ, which warrant further research on this topic.

Physical Health and Quality of Life among Older People in the Context of Chinese Culture

Population aging has become a crucial problem in China. Recently, the Chinese government has adopted many strategies and policies to solve this problem and improve the quality of life of older individuals. The present study aimed to examine the effect of physical health on quality of life among older individuals in the context of Chinese culture and explore the potential mediating roles of positive cognition and negative emotions in the association between physical health and quality of life. Data were from the wave of 2017-2018 of the Chinese Longitudinal Healthy Longevity Survey. Data on physical health, quality of life, positive cognition, and negative emotions of 15,874 older people were included in the present study. Pathway analysis was conducted by using IBM SPSS AMOS 21.0, and double verified using PROCESS Macro for SPSS 3.5.3. Results showed that physical health was positively associated with quality of life among older individuals in the context of Chinese culture. The effect size was small to moderate. Positive cognition and negative emotions independently and serially mediated the linkage of physical health and quality of life. These findings provided empirical evidence for the activating event-belief-consequence theory of emotion and hierarchy of needs theory and indicated that Chinese older people focused more on physical health rather than mental health. Practitioners could teach older individuals strategies of emotion regulation and cognitive appraisal to improve the quality of life of older individuals.