Self-reported Usage Research Articles

Comparison Trial of Two Behavioral Sleep Interventions to Improve Sleep-Related Outcomes and Reduce Technology Usage Among College Students

Abstract Over 60% of college students are poor-quality sleepers, and many have inconsistent weekday and weekend sleep patterns. Technology usage (e.g., cellphone, computer, television) may contribute to poor sleep, but there is limited experimental research. In a comparison trial, 60 college students (mean age = 18.76, 86.7% female, 53.3% White) were randomly assigned to a 4-week sleep hygiene and stimulus control (SHSC) intervention or an enhanced intervention including technology stimulus control instructions (SHSC-E). Both groups showed improvements in sleep hygiene practices, perceived barriers to stimulus control, sleep quality, general technology usage, and technology usage before bed. However, the SHSC-E group did not have greater improvements compared to SHSC group as hypothesized, which suggests that the combination of sleep hygiene and stimulus control is a robust enough method for reducing self-reported technology usage. A longer intervention period might be necessary to observe the benefits of technology stimulus control procedures.

On-demand transit user preference analysis using hybrid choice models

In light of the increasing interest to transform the fixed-route public transit (FRT) services into on-demand transit (ODT) services, there exists a strong need for a comprehensive evaluation of the effects of this shift on the users. Such an analysis can help municipalities and service providers to design and operate more convenient, attractive, and sustainable transit solutions. To understand the user preferences, we developed three hybrid choice models: integrated choice and latent variable (ICLV), latent class (LC), and latent class integrated choice and latent variable (LC-ICLV) models. We used these models to analyze the public transit user's preferences in Belleville, Ontario, Canada. Hybrid choice models were estimated using a rich dataset that combined the actual level of service attributes obtained from Belleville's ODT service and self-reported usage behaviour obtained from a revealed preference survey of the ODT users. The latent class models divided the users into two groups with different travel behaviour and preferences. The results showed that the captive user's preference for ODT service was significantly affected by the number of unassigned trips, in-vehicle time, and main travel mode before the ODT service started. On the other hand, the non-captive user's service preference was significantly affected by the Time Sensitivity and the Online Service Satisfaction latent variables, as well as the performance of the ODT service and trip purpose. This study attaches importance to improving the reliability and performance of the ODT services and outlines directions for reducing operational costs by updating the required fleet size and assigning more vehicles for work-related trips.

The relationship between smartphone use and smartphone addiction: An examination of logged and self-reported behavior in a pre-registered, two-wave sample

There has been a growing literature that has utilized logged behavior from smartphones to study the impacts of technology use on individuals. One of these proposed impacts has been that people become addicted to their smartphones. Measurements of smartphone addiction do not appear to strongly correlate with actual behavior logged from smartphones. Instead, smartphone addiction may be better explained by distress rather than disordered behavior, but this has not been adequately tested. This study examined the relative contributions of self-reported and actual smartphone behavior alongside key mental health and individual differences in a pre-registered, two-wave study with a two-week re-test. 511 smartphone users (391 at Time 2) completed measures of smartphone usage, attitudes towards smartphone usage, smartphone addiction, other behavioral addictions, mental health, and individual differences. The results suggest smartphone addiction is principally driven by perceived rather than actual usage, especially where these are discordant. Self-reported smartphone usage, other behavioral addictions, and the impulsivity facet of negative urgency are more predictive of smartphone addiction than logged behavior. These results suggest that volume of smartphone usage is insufficient in and of itself to explain problematic smartphone behavior and questions the criterion validity of smartphone addiction measurements.

Association between Type 2 Diabetes and Elevaton of Liver Enzymes

Millions of people throughout the world are impacted by T2DM, often known as type 2 diabetes mellitus. This study looked at the relationship between elevated liver enzyme levels and the prevalence of T2DM in certain Iraqis. Only a small amount of research has been done on the connection between liver enzymes and T2DM. Methods: In all, 80 people (40 with diabetes and 40 without) participated in the study. Blood serum was examined to determine the activity of alanine and aspartate aminotransferases (ALT, AST), -Glutamyl transpeptidase (GGT), and alkaline phosphatase (ALP). Fasting blood glucose (FBG) of less than 126 mg/dL or self-reported recent usage of insulin or anti-diabetic drugs were used to define T2DM. Results: When compared to the non-diabetes group, the diabetic group's AST and ALP levels were considerably (P0.05) higher. In contrast, there was no difference in ALT (P>0.05). However, AST and ALT data based on gender revealed no statistically significant difference (P>0.05) between any of the groups for either enzyme. However, as compared to the non-diabetes male and female groups, the ALP enzyme findings showed that there was a significant increase (p0.05) in the diabetes male group. Conclusions: T2DM patients frequently have increased liver enzyme levels.

Problematic smartphone usage, objective smartphone engagement, and executive functions: A latent variable analysis.

The negative consequences of smartphone usage have seen frequent discourse in popular media. While existing studies seek to resolve these debates in relation to executive functions, findings are still limited and mixed. This is partly due to the lack of conceptual clarity about smartphone usage, the use of self-reported measures, and problems related to task impurity. Addressing these limitations, the current study utilizes a latent variable approach to examine various types of smartphone usage, including objectively measured data-logged screen time and screen-checking, and nine executive function tasks in 260 young adults through a multi-session study. Our structural equation models showed no evidence that self-reported normative smartphone usage, objective screen time, and objective screen-checking are associated with deficits in latent factors of inhibitory control, task-switching, and working memory capacity. Only self-reported problematic smartphone usage was associated with deficits in latent factor task-switching. These findings shed light on the boundary conditions of the link between smartphone usage and executive functions and suggest that smartphone usage in moderation may not have inherent harms on cognitive functions.

Surgical Providers’ Perceptions of the Patient Portal: Before and After the 21st Century Cures Act

IntroductionIn April 2021, the Information Blocking Rule (IBR) of the 21st Century Cures Act went into effect giving patients immediate access to notes, radiology reports, lab results, and surgical pathology. We aimed to examine changes in surgical providers’ perceptions of patient portal usage before and after its implementation. MethodsWe administered a 37-question survey prior to the implementation of the IBR and a 39-question follow-up survey 3 mo later. The survey was sent to all surgeons, advanced practice providers, and clinic nurses in our surgical department. ResultsThe response rate to pre surveys and post surveys was 33.7% and 30.7%, respectively. Providers’ preference for communication via the patient portal (compared to phone or in person) regarding lab, radiology, or pathology results remained similar. While there was an increase in messages received from patients, there was no difference in the self-reported time spent on the electronic health record (EHR). Prior to the implementation of the blocking rule, 75.8% of providers believed that the portal increased workload which decreased to 57.4% on our follow-up survey. About one-third of providers screened positive for burnout before (32%) which decreased slightly (27.4%). ConclusionsAlthough 43.9% of providers reported the Cures Act had changed their practice, there was no difference in self-reported EHR usage, preferred method of interaction with patients, overall workload, or burnout. Initial concerns regarding the IBR's effect on job satisfaction, patient anxiety, and quality of care had lessened. Further exploration into how patients having immediate access to their EHRs has changed surgical practice is needed.

The association between evening social media use and delayed sleep may be causal: Suggestive evidence from 120 million Reddit timestamps

Public health officials and clinicians routinely advise social media users to avoid nighttime social media use due to the perception that this delays the onset of sleep and predisposes to the health risks of insufficient sleep. With some exceptions, the evidence behind this advice mostly derives from surveys identifying an association between self-reported social media usage and self-reported sleep patterns. In principle, these associations could alternatively be explained by users turning to social media to pass the time when they are otherwise having difficulty sleeping, or by individual differences that draw some people to frequent social media use, or by offline activities that overlap with both social media use and delayed sleep. To attempt to distinguish among these explanations, we leveraged estimated bedtimes from 44,000 Reddit users reported in a recent study and their 120 million posts to test whether the relationship between sleep and social media has properties suggestive of a causal relationship. We find that users are especially likely to be active on Reddit after their bedtime (and therefore awake) on nights that they posted to Reddit shortly before bedtime, especially if they posted multiple times or in high-engagement forums that night. Overall, this study lends additional support to the notion that there likely is some causal effect of evening social media use on delayed sleep onset.

Exploring the Sensory Properties and Preferences of Fruit Wines Based on an Online Survey and Partial Projective Mapping.

Non-grapefruits with unique sensory properties and potential health benefits provide added value to fruit wine production. This study aimed to explore consumers' fruit wine preferences and descriptors for the varied fruit wines. First, 234 consumers participated in an online survey concerning their preferences for different wines (grape, blueberry, hawthorn, goji, Rosa roxburghii, and apricot). In addition, their attitudes towards general health interests, food neophobia, alcoholic drinks, and sweetness were collected. Grape wine and blueberry wine were the most favored wines, and goji wine was the least liked fruit wine sample. Moreover, 89 consumers were invited to evaluate 10 commercial fruit wines by using partial projective mapping based on appearance, aroma, and flavor (including taste and mouthfeel) to obtain a comprehensive sensory characterization. Multifactor analysis results showed that consumers could differentiate the fruit wines. Participants preferred fruit wines with "sweet", "sour", and "balanced fragrance", whereas "bitter", "astringent", "deep appearance", and "medicinal fragrance" were not preferred. Attitudes toward health, food neophobia, alcohol, and sweetness had less influence than taste and aroma (sensory attributes) on the preferences for fruit wine products. More frequent self-reported wine usage resulted in higher consumption frequency and liking ratings compared to non-users. Overall, the main factors influencing consumer preference for fruit wines were the sensory characteristics of the products, especially the taste.

Predicting the Users’ Level of Engagement with a Smartphone Application for Smoking Cessation: Randomized Trial and Machine Learning Analysis

Introduction: Studies of the users’ engagement with smoking cessation application (apps) can help understand how these apps are used by smokers, in order to improve their reach and efficacy. Objective: The present study aimed at identifying the best predictors of the users’ level of engagement with a smartphone app for smoking cessation and at examining the relationships between predictors and outcomes related to the users’ level of engagement with the app. Methods: A secondary analysis of data from a randomized trial testing the efficacy of the Stop-Tabac smartphone app was used. The experimental group used the “full” app and the control group used a “dressed down” app. The study included a baseline and 1-month and 6-month follow-up questionnaires. A total of 5,293 participants answered at least the baseline questionnaires; however, in the current study, only the 1,861 participants who answered at least the baseline and the 1-month follow-up questionnaire were included. Predictors were measured at baseline and after 1 month and outcomes after 6 months. Data were analyzed using machine learning algorithms. Results: The best predictors of the outcomes were, in decreasing order of importance, intention to stop smoking, dependence level, perceived helpfulness of the app, having quit smoking after 1 month, self-reported usage of the app after 1 month, belonging to the experimental group (vs. control group), age, and years of smoking. Most of these predictors were also significantly associated with the participants’ level of engagement with the app. Conclusions: This information can be used to further target the app to specific groups of users, to develop strategies to enroll more smokers, and to better adapt the app’s content to the users’ needs.

Comorbidities and Presenting Symptoms in a Real-World Population With Obstructive Sleep Apnea

AbstractBackgroundObstructive sleep apnea (OSA) is a highly prevalent sleep disorder that is often associated with numerous medical and psychiatric comorbidities. Patients with OSA experience a variety of symptoms that can be burdensome and affect their quality of life and satisfaction with care. Excessive daytime sleepiness (EDS) is a common symptom of OSA, and can persist despite primary airway therapy (e.g., positive airway pressure [PAP]). This analysis aimed to characterize common comorbidities, as well as symptoms present at OSA diagnosis and their burden in a real-world population of participants with OSA.MethodsUS residents (≥18 years of age, self-reported clinician diagnosis of OSA [from 1/1/2015 to 3/31/2020]) completed a survey in Evidation Health’s Achievement app that assessed self-reported sleepiness (Epworth Sleepiness Scale [ESS]), self-reported PAP usage, self-reported physician-diagnosed comorbidities, and information on their symptoms at time of OSA diagnosis. Self-reported PAP use was categorized as nonuse (no PAP use), nonadherent (<4 h/night or <5 d/wk), intermediate (4–6 h/night, ≥5 d/wk), or highly adherent (≥6 h/night, ≥5 d/wk). EDS was defined as ESS score >10. All data were summarized descriptively.ResultsIn total, 2289 participants completed the survey (50.3% female; 82.5% White; mean ± standard deviation [SD] age, 44.8 ± 11.1 years; mean ± SD age at OSA diagnosis, 40.7 ± 11.4 years; mean ± SD body mass index, 35.4 ± 8.7 kg/m2); 42.5% had EDS. Among the total population, 30.6% were PAP non-users, 6.7% were nonadherent, 9.8% were intermediate adherent, and 52.9% were highly adherent. Across the study population, the most common self-reported physician-diagnosed comorbidities were anxiety (44%) and depression (42%) followed by hypertension (39%), dyslipidemia (26%), and asthma (21%). Among the symptoms participants reported having had at the time of OSA diagnosis, the most common were EDS (79%), fatigue (79%), snoring (75%), and awakening with a dry mouth or sore throat (63%). Concentration/Memory problems (48%) and mood changes (46%) were also common. In the overall population, the symptoms present at the time of OSA diagnosis that were most likely to be highly burdensome were fatigue (53%), EDS (46%), snoring (35%), difficulty concentrating/memory issues (31%), and mood changes (25%).ConclusionsThese real-world survey data identify anxiety and depression as the most frequently reported comorbidities in a population of participants with OSA, each affecting over 40% of participants. In addition to classic OSA symptoms (e.g., EDS, fatigue, snoring, and awakening with dry mouth/sore throat), concentration/memory problems and mood changes were also common at the time of OSA diagnosis and were among the presenting symptoms most frequently reported as highly burdensome, along with fatigue, EDS, and snoring.FundingAxsome Therapeutics and Jazz Pharmaceuticals

The effect of anthropometric characteristics and electronic device use on median nerve cross-sectional area: A cross-sectional study

IntroductionThis study aimed to identify the relationship between age, body mass index (BMI), weight, height, and wrist circumference and median nerve cross-sectional area (CSA). The study also aimed to examine the difference between CSA in individuals reporting a high amount (>4 hours per day) of electronic device use compared to those reporting a low amount (≤4 hours per day). Materials/MethodsOne hundred twelve healthy individuals volunteered to participate in the study. Anthropometric, demographic, and self-reported electronic device usage data were collected. A transverse image of the median nerve was captured using ultrasonography from the dominant wrist at the carpal tunnel inlet . A Spearman's rho correlation coefficient was used to examine correlations between participant characteristics (age, BMI, weight, height, and wrist circumference) and CSA. Separate Mann-Whitney U tests were used to examine differences in CSA in those younger and older than age 40, in those with BMI <25 kg/m2 and BMI ≥25 kg/m2, and in high and low-frequency device users. ResultsBMI, weight, and wrist circumference showed fair correlations with CSA. There were significant differences in CSA between individuals younger than 40 and those older than 40 and between individuals with BMI <25kg/m2 and those with BMI ≥25kg/m2. There were no statistically significant differences in CSA in the low- and high-use electronic device groups. DiscussionAnthropometric and demographic characteristics including age and BMI or weight should be considered when examining the CSA of the median nerve, especially when determining cut-off points for establishing a diagnosis of carpal tunnel syndrome.

Abstract MP30: Metabolomics Analyses Identified Factors Modifying the Association of Aspirin Use With Kidney Function

Introduction: Uncontrolled high dose aspirin use impairs kidney function. Short-term low dose aspirin treatment has also been associated with kidney function in older patients. We aimed to evaluate the association of regular aspirin use with kidney function in middle-aged adults and to identify factors modifying the association. Methods: We performed cross-sectional analyses among 1,261 participants of the 2016 Bogalusa Heart Study (BHS) visit. Regular aspirin use was self-reported and confirmed by serum biomarker, salicyluric glucuronide . Aspirin users were categorized at the median of salicyluric glucuronide levels into low and high dose users. A total of 887 known metabolites were profiled from the serum. Estimated glomerular filtration rate (eGFR) was calculated using the CKD-Epi equation. We tested associations of aspirin use with eGFR and examined interactions of aspirin with serum metabolites on eGFR. Age, sex, race, education, smoking, drinking, physical activity, BMI, blood pressure, and fasting glucose were adjusted in all analyses. Results: The mean age of BHS participants was 48.2, and 133 (10.5%) were self-reported aspirin users. Serum salicyluric glucuronide level was significantly correlated with self-reported aspirin usage (P=2.00х10 -21 ). After adjusting for all covariables, mean eGFR for never, low dose, and high dose aspirin users were 92.9, 90.2, and 89.9 mL/min/1.73m 2 , respectively (P for trend=0.004). After Bonferroni correction, 28 metabolites modified the associations of aspirin use with eGFR (P&lt;5.52х10 -5 ), of which, 26 increased the aspirin's nephrotoxicity effect, while behenoylsphingomyelin and tricosanoylsphingomyelin significantly attenuated the eGFR lowering effect of aspirin (Table). Conclusion: Aspirin use is associated with decreased eGFR among middle-aged adults, and this association was modified by dietary, gut microbiome, and biomarkers of kidney disease, cardiovascular disease, and cancer. The findings may help develop better use strategies for regular users.

Directly-measured smartphone screen time predicts well-being and feelings of social connectedness

Previous findings on the relationship between smartphone use and well-being have been mixed. This may be partially due to a reliance on cross-sectional study designs and self-reported smartphone usage. In the current study, we collected screen time data by directly tracking participants’ ( N = 325, ages 14−80 years, 58% women) smartphone usage over a period of 6 days. We combined this tracking with ecological momentary assessment, asking participants three times per day about their psychological well-being and feelings of social connectedness. Smartphone screen time was determined for the hour directly before each assessment. Results revealed that at times when participants used their smartphone more in the hour before an assessment, they reported lower psychological well-being and lower social connectedness. A bidirectional relationship emerged between smartphone screen time and social connectedness, suggesting a potential “vicious cycle” whereby smartphone usage leads to reduced social connectedness, which promotes more smartphone usage.

Designing home-based physical activity programs for rural cancer survivors: A survey of technology access and preferences.

While technology advances have increased the popularity of remote interventions in underserved and rural cancer communities, less is understood about technology access and preferences for home-based physical activity programs in this cancer survivor population. To determine access, preferences, and needs, for a home-based physical activity program in rural cancer survivors. A Qualtrics Research Panel was recruited to survey adults with cancer across the United States. Participants self-reported demographics, cancer characteristics, technology access and usage, and preferences for a home-based physical activity program. The Godin Leisure Time Exercise Questionnaire (GLTEQ) assessed current levels of physical activity. Descriptive statistics included means and standard deviations for continuous variables, and frequencies for categorical variables. Independent samples t-tests explored differences between rural and non-rural participants. Participants (N=298; mean age=55.2 ± 16.5) had a history of cancer (mean age at diagnosis=46.5), with the most commonly reported cancer type being breast (25.5%), followed by prostate (16.1%). 74.2% resided in rural hometowns. 95% of participants reported accessing the internet daily. On a scale of 0-100, computer/laptop (M=63.4) and mobile phone (M=54.6) were the most preferred delivery modes for a home-based physical activity intervention, and most participants preferred balance/flexibility (72.2%) and aerobic (53.9%) exercises. Desired intervention elements included a frequency of 2-3 times a week (53.5%) for at least 20 minutes (75.7%). While there were notable rural disparities present (e.g., older age at diagnosis, lower levels of education; ps<.001), no differences emerged for technology access or environmental barriers (ps>.08). However, bias due to electronic delivery of the survey should not be discounted. These findings provide insights into the preferred physical activity intervention (e.g., computer delivery, balance/flexibility exercises) in rural cancer survivors, while highlighting the need for personalization. Future efforts should consider these preferences when designing and delivering home-based interventions in this population.

Physical Activity Types, Physical Activity Levels and Risk of Diabetes in General Adults: The NHANES 2007-2018.

Recreational activities show benefits for diabetes prevention, but work-related activity and the total amount of individual physical activity is rarely discussed. The purpose of this study was to evaluate the participation in five typical physical activities (vigorous work activity, vigorous recreational activities, moderate work activity, moderate recreational activities, and walk/bicycle for transportation), as well as the weekly distribution of total physical activity intensity, and to explore the relationships between physical activity types, physical activity levels, and risk of diabetes. Cross-sectional study. The self-reported physical activity data on specific domains of physical activity were acquired from individuals in the 2007-2018 National Health and Nutrition Examination Survey (NHANES) using the Physical Activity Questionnaire (PAQ). Diabetes status was assessed by self-reported medical diagnosis or medication usage, or a fasting glucose concentration ≥ 126 mg/dL (fasting is defined as no caloric intake for at least 8 h) or HbA1c ≥ 6.5%. Weighted logistic regression was used to investigate the associations between physical activity types, physical activity levels, and risk of diabetes. Diabetes was less prevalent in people who participated in physical activity and the risk of diabetes reduced progressively as total physical activity levels increased. Younger adults (20-44 years) and males reported a higher proportion of high-intensity physical activity participation. Our findings highlight the importance of a physically active lifestyle for preventing diabetes. Distinct types of physical activity had different effects on the risk of diabetes. A greater total physical activity level was related to a substantial reduction in diabetes risk.

The efficacy of a novel smart watch on medicine adherence and symptom control of allergic rhinitis patients: Pilot study

BackgroundAllergic rhinitis (AR) is a common allergic airway disorder that is often poorly managed. There is an urgent need to enhance medication adherence in order to improve treatment outcomes in patients with AR. The efficacy of wearable smart watches in improving medication adherence is currently unclear. ObjectivesThis study aimed to evaluate the efficacy of a novel smart watch in improving medication adherence and symptom control in patients with AR. The reliability of self-reported medication use was also investigated. MethodsThis randomized, open-label, parallel controlled, pilot study enrolled adult patients with AR caused by cypress pollen. Patients were randomized in a 1:2 ratio to an intervention group and control group. Smart watches were only distributed to patients in the intervention group. During the cypress pollen season, all patients were required to take oral antihistamines daily and use nasal corticosteroids and antihistamine eye drops as needed. Daily AR symptom scores and medication usage were recorded in both groups. The smart watch was able to identify medication-taking behaviors of patients via artificial intelligence (AI) and relay this information to physicians, who sent short message service reminders to patients who forgot to take oral antihistamines for more than 2 days. ResultsDuring the pollen season, the adherence rate to oral antihistamines in the intervention group (n = 17) was significantly higher than that in the control group (n = 38) (63.3% ± 28.5% versus 43.2% ± 30.2%, P = 0.02). The daily symptom score of the intervention group was lower than that of the control group (2.4 ± 1.1 versus 3.9 ± 1.0, P < 0.001). There was no significant difference in the on-demand medication score between the 2 groups (1.3 ± 0.4 versus 1.5 ± 0.5, P = 0.13). The consistency rate between self-reported nasal corticosteroid usage and the gold standard (ie, human observation of medication usage in the videos recorded by the smart watch) was 20.0% (0%, 53.7%), and the consistency rate between self-reported antihistamine eye drop usage and the gold standard was 24.3% (2.1%, 67.1%). ConclusionsThis pilot study showed that the application of smart watches in patients with AR was associated with improved medication adherence and symptom control. Furthermore, the reliability of self-reported medication usage was limited.

Fitting a Hearing Aid on the Better Ear, Worse Ear, or Both: Associations of Hearing-aid Fitting Laterality with Outcomes in a Large Sample of US Veterans.

Longitudinal electronic health records from a large sample of new hearing-aid (HA) recipients in the US Veterans Affairs healthcare system were used to evaluate associations of fitting laterality with long-term HA use persistence as measured by battery order records, as well as with short-term HA use and satisfaction as assessed using the International Outcome Inventory for Hearing Aids (IOI-HA), completed within 180 days of HA fitting. The large size of our dataset allowed us to address two aspects of fitting laterality that have not received much attention, namely the degree of hearing asymmetry and the question of which ear to fit if fitting unilaterally. The key findings were that long-term HA use persistence was considerably lower for unilateral fittings for symmetric hearing loss (HL) and for unilateral worse-ear fittings for asymmetric HL, as compared to bilateral and unilateral better-ear fittings. In contrast, no differences across laterality categories were observed for short-term self-reported HA usage. Total IOI-HA score was poorer for unilateral fittings of symmetric HL and for unilateral better-ear fittings compared to bilateral for asymmetric HL. We thus conclude that bilateral fittings yield the best short- and long-term outcomes, and while unilateral and bilateral fittings can result in similar outcomes on some measures, we did not identify any HL configuration for which a bilateral fitting would lead to poorer outcomes. However, if a single HA is to be fitted, then our results indicate that a better-ear fitting has a higher probability of long-term HA use persistence than a worse-ear fitting.

Expressive suppression as an emotion regulation technique and its potential impact on perceived stress

Expressive suppression is the process of decreasing, increasing, or maintaining emotional intensity over a period of time. It is employed as an immediate response to emotional stimuli and can result in negative psychological outcomes. This emotional regulation process can be harmful in the workplace, especially when one considers time pressures and the standard corporate hierarchical structure in modern America, which potentially also introduces stress into situations due to the “superior/subordinate” relationship. This study analyzed the correlation between self-reported high usage of expressive suppression and perceived stress and found that a correlation does exist between the emotion regulation technique and perceived stress. The study also reviewed other workplace situations and found that being in the presence of a superior also plays a role in this dynamic. The study highlights the stress impact of employing expressive suppression and the need for further research into factors within the workplace that impact an individual’s emotional regulation and impact overall stress.

Adjusted incidence, remission, and relapse of self-reported physician-diagnosed asthma and asthma medication usage in endurance athletes.

Longitudinal studies are needed to increase our knowledge of the natural history of asthma in athletes. Our aims were to estimate the incidence, remission, and relapse, of self-reported asthma among endurance athletes. A postal questionnaire on self-reported physician-diagnosed asthma, asthma medication, allergy, and respiratory symptoms was sent annually 2011-2015 to 666 Swedish elite athletes competing in cross-country skiing, biathlon, ski orienteering, or orienteering. Athletes at risk for (1) incident asthma were those without previous self-reported asthma, use of asthma medication, or asthma-like symptoms, (2) remission those who discontinued asthma medication usage and (3) relapse those who resumed asthma medication usage during the observation period. The population at risk was used as denominator in the calculations of subsequent event rate. At baseline, 89% responded, the median age was 17 years and 47% were females. Of the 373 athletes with never asthma nor use of asthma medication/asthma-like symptoms at baseline, 31 (8%) reported physician-diagnosed asthma during follow-up, giving an adjusted incidence rate of asthma of 42/1000 person years. Among the 110 athletes with self-reported asthma and use of asthma medication at baseline, 26 (24%) discontinued use of asthma medication during the follow-up, giving a remission rate of 142/1000 person years. Of the 31 athletes with previous asthma and no use of asthma medication at baseline, 9 (29%) resumed use of asthma medication during follow-up, giving a relapse rate was 148/1000 person years. Elite endurance athletes have a high incidence of self-reported physician-diagnosed asthma. The remission and relapse of self-reported asthma medication usage in endurance athletes appear similar to that of the general population.

A three-tiered semi supervised MTL mechanism and its application in dating apps

AbstractA thorough understanding of the purpose of dating applications is crucial for service providers in order to optimize the design and user experience of the application. Despite the fact that many APPs prompt users to provide their usage purpose, many do not reveal this attribute. In this study, a three-module framework with semi-supervised and multitask learning mechanisms is proposed (T-SSMTL). Using the T-SSMTL mechanism, the purpose of the dating APP usage can be automatically inferred from the publicly available heterogeneous data of the user. The heterogeneous feature extraction module employs a number of techniques to extract semantic representations, maximizing the use of heterogeneous dating APP data. The multi-task module extracts task-specific knowledge for learning and solves the classification problem involving multiple labels. To alleviate the problem of label insufficiency, the semi-supervised module utilizes a large quantity of unlabeled data generated by users who do not report their usage purpose. A large-scale dataset containing 34,364 active dating APP users with their self-reported usage purpose, portrait image, profile, and posts was collected to evaluate the T-SSMTL framework. In the context of this dataset, simulation experiments have confirmed the efficacy of all three modules of the T-SSMTL framework, demonstrating its substantial theoretical significance as well as its excellent application value.