Decisional style, mood and work communication: email diaries

Decisional style, sleepiness, and online responsiveness

As sleep problems can impair quality of work, an online questionnaire was used to examine relationships between sleepiness and decision making while obtaining unobtrusive indices of performance. Participants (N = 344) completed the Insomnia Severity Index, Epworth Sleepiness Scale, and the Melbourne Decision Making Questionnaire in a Qualtrics survey while reporting mobile phone use. Qualtrics recorded the time and the number of clicks required to complete each page of the survey. Multiple regression indicated that insomnia was associated with daytime sleepiness and Hypervigilance, and mobile phone use before bed. Participants with moderate sleepiness required a greater number of clicks to complete the questionnaire. Greater sleepiness was associated with longer times to complete these self-assessment tasks. Clinically significant sleepiness produces changes in performance that can be detected from online responsivity. As sleepy individuals can be appreciably and quantitatively slower in performing subjective self-assessment tasks, this argues for objective measures of sleepiness and automated interventions and the design of systems that allow better quality sleep.Practitioner summary: Work can require processing of electronic messages, but 24/7 accessibility increases workload, causes fatigue and potentially creates security risks. Although most studies use people's self-reports, this study monitors time and clicks required to complete self-assessment rating scales. Sleepiness affected online responsivity, decreasing online accuracy and increasing response times and hypervigilance.

Decision-making executive function profile and performance in older adults with major depression: a case-control study

OBJECTIVES

Decision making (DM) is a component of executive functioning, essential for choosing appropriate decisions. Executive dysfunctioning is particularly common in late-life depression, however the literature is scarce on DM. This case-control study aimed to evaluate the DM profile and performance in participants with and without unipolar major depression.

METHOD

The DM profile and performance were assessed by the Melbourne Decision Making Questionnaire and the Iowa Gambling Task (IGT), respectively, in three groups of older adults from a university-based geriatric psychiatry clinic, i.e. current depression (n = 30), remitted depression (n = 43) and healthy controls (n = 59). The Hamilton Depression scale (HAM-D) 21 items, the Hamilton Anxiety scale, and the Mini-Mental State Examination were used to access depressive symptoms, anxiety symptoms, and cognitive impairment, respectively. Multinomial, nominal and binary logistic regression was used to evaluate the associations between depression, depressive symptomatology and DM.

RESULTS

In comparison to the control group, patients with current depression presented higher scores in buck-passing and proscratination DM profiles. In the hypervigilance profile, there was a significant difference between current and remitted depression groups. A higher value ​in the HAM-D scale increased the probability of disadvantageous DM profiles. Depressive patients showed a tendency of a higher mean score in both disadvantageous decks (A and B) of IGT. Patients with current depression showed a worse performance compared to the remitted depression group in the IGT netscore.

CONCLUSION

Older adults with current depression showed DM profiles considered maladaptive or disadvantageous compared to both remitted depression and healthy controls groups.

Cannabis, Decision-Making, and Online Assistance Seeking

BACKGROUND AND OBJECTIVES

Maladaptive decision-making strategies could contribute to cannabis-related problems, as some individuals may neither select safe patterns of cannabis use, nor seek treatment.

METHODS

To explore decision-making styles and their relationship to cannabis-related harm, 153 respondents completed the Cannabis Use Disorders Identification Test-Revised (CUDIT-R), the Melbourne Decision Making Questionnaire (MDMQ), and answered questions about their willingness to seek online: (1) further information or (2) treatment for cannabis-related issues.

RESULTS

Multiple regression considered relationships between problematic cannabis use, decision-making style, and cannabis use within the past month. Subscales of the CUDIT-R revealed that: (1) hazardous use was associated with higher hypervigilance and higher decisional self-esteem; (2) dependence symptoms were associated with lower vigilance and higher procrastination; and (3) harmful use was associated with higher procrastination. People with symptoms of CUD were less likely to seek further help or support online if prone to procrastination or buckpasssing.

DISCUSSION AND CONCLUSIONS

Decisional style influenced cannabis use and symptoms. Those people with cannabis-related problems that did not seek online assistance were defensively avoidant.

SCIENTIFIC SIGNIFICANCE

Procrastination is a feature of problematic cannabis use. Online offers of assistance may be ignored by defensively avoidant CUD clients. (Am J Addict 2019;00:1-7).

Instances of online suicide, the law and potential solutions

To understand the social and legal issues posed by suicide-related communications over the Internet (messages of threatened suicide and advocated suicide), this article examines a selection of cases involving different types of online baiting and harassment that illustrate different legal and technological issues. The anonymity afforded by computer-mediated communication allows bullies to harass vulnerable individuals and leak (disclose) their personal information. Computer mediation of communication potentially diffuses responsibility; imposes a temporal asynchrony between signified intent and audience response; and reduces the empathy that might motivate observers or witnesses to intervene and render assistance, factors that make online baiting a serious social, legal and technological problem. Potential actions (both legal and technological) for addressing this problem are outlined.

Risky Alcohol Consumption and Online Activity Levels

University students engage in risky patterns of alcohol consumption, which may affect their health and performance at university. This study provides a novel analysis which tracked students' interaction with online course materials over time, and examined associations between online activity and alcohol related harm (as indicated by the Alcohol Use Disorders Identification Test). Study 1 tracked 63 undergraduate psychology students in the second half of a semester and found risky drinking behaviors were marginally related to reductions in online study activity. Study 2 tracked 88 undergraduate psychology students in the first half of a semester. Risky drinking behaviors were associated with less online activity after midday. Students reporting more alcohol related harm were less likely to login between 7 pm and midnight, and between 1 am and 6 am. This study demonstrates a potential sensitivity of online activity levels to alcohol use.

Cannabis, alcohol use, psychological distress, and decision-making style

INTRODUCTION

There have been suggestions of hypofrontality in cannabis users. To understand cannabis-related differences in decisional processes, Janis and Mann's conflict model of decision making was applied to recreational cannabis smokers who varied in their alcohol use and level of psychological distress.

METHOD

An online sample of recreational substance users (114 male, 119 female) completed the Melbourne Decision Making Questionnaire, the Alcohol Use Disorders Identification Test (AUDIT), Kessler's Psychological Distress Scale (K10), and the Severity of Dependence Scale (SDS) for cannabis.

RESULTS

Multivariate analysis of variance examined self-reported decision-making styles as a function of gender, recent cannabis use, risky alcohol consumption, and levels of psychological distress. Psychological distress was associated with lower decisional self-esteem and higher levels of procrastination and buck-passing. There were gender differences associated with cannabis use. Female cannabis users reported higher levels of hypervigilance, while male cannabis users reported lower levels of buck-passing.

CONCLUSIONS

Although there was little indication of an avoidant decisional style in cannabis users, the results suggest that cannabis affects decisional processes, contributing to panic in females and impulsivity in males.

Decision-making style, nicotine and caffeine use and dependence

RATIONALE

As therapeutic interventions are being developed utilising telehealth and mobile phones, it is important to understand how substance-dependent individuals will respond to offers of online assistance.

OBJECTIVES

The present paper considered the following: (1) how decision-making style is associated with use and dependence upon commonly used stimulants and (2) how it influences behavioural responses to electronic offers of further information about these drugs.

METHOD

An online survey examined patterns of nicotine and caffeine use, administered Severity of Dependence Scales for caffeine and nicotine and assessed decision-making style using the Melbourne Decision Making Questionnaire and mood using the Kessler Distress Scale. Upon completing these scales, the 181 participants with a mean age of 28.14 years were offered further information online.

RESULTS

Stimulant dependence was associated with psychological distress. Caffeine dependence was linked to hypervigilance (panic). Decisional self-esteem varied with stimulant dependence and Kessler Distress Scale score. Participants with high decisional self-esteem declined electronic offers of further information.

CONCLUSION

Confidence rather than defensive avoidance was a factor in reducing information-seeking behaviours on the Internet.

Effects of sleep deprivation on decisional support utilisation

To inform development of decisional support systems for the sleep deprived, this study examined the effect of sleep debt, time pressure and risk on the ability to use a decision aid. A total of 19 participants were tested when well rested and sleep deprived. Participants played computerised forms of Blackjack, which varied a 1- or 4-second response deadline, at two levels of risk, and could be supplied with online advice. Mean bets served as indications of confidence. Although confidence was less when play was fast or higher risk participants did not bet significantly less when sleep deprived, suggesting an impaired calibration of judgement that was supported by evidence of rallying. This failure to adjust confidence was accompanied by slower responses at low risk when sleep deprived. Sleep-deprived participants were less able to use decisional support under time pressure and made more errors without advice and time pressure.

PRACTITIONER SUMMARY

Decisional support is becoming more pervasive. To inform development of decisional support systems to assist the sleep deprived, an experiment considered the use of decisional support as a function of time pressure and risk. Advisory systems require processing and will be less efficacious under time pressure when sleep deprived.