Day-of-week mood patterns in the United States: On the existence of ‘Blue Monday’, ‘Thank God it's Friday’ and weekend effects

Characterizing Longitudinal Patterns in Cognition, Mood, And Activity in Depression With 6-Week High-Frequency Wearable Assessment: Observational Study

BACKGROUND

Cognitive symptoms are an underrecognized aspect of depression that are often untreated. High-frequency cognitive assessment holds promise for improving disease and treatment monitoring. Although we have previously found it feasible to remotely assess cognition and mood in this capacity, further work is needed to ascertain the optimal methodology to implement and synthesize these techniques.

OBJECTIVE

The objective of this study was to examine (1) longitudinal changes in mood, cognition, activity levels, and heart rate over 6 weeks; (2) diurnal and weekday-related changes; and (3) co-occurrence of fluctuations between mood, cognitive function, and activity.

METHODS

A total of 30 adults with current mild-moderate depression stabilized on antidepressant monotherapy responded to testing delivered through an Apple Watch (Apple Inc) for 6 weeks. Outcome measures included cognitive function, assessed with 3 brief n-back tasks daily; self-reported depressed mood, assessed once daily; daily total step count; and average heart rate. Change over a 6-week duration, diurnal and day-of-week variations, and covariation between outcome measures were examined using nonlinear and multilevel models.

RESULTS

Participants showed initial improvement in the Cognition Kit N-Back performance, followed by a learning plateau. Performance reached 90% of individual learning levels on average 10 days after study onset. N-back performance was typically better earlier and later in the day, and step counts were lower at the beginning and end of each week. Higher step counts overall were associated with faster n-back learning, and an increased daily step count was associated with better mood on the same (P<.001) and following day (P=.02). Daily n-back performance covaried with self-reported mood after participants reached their learning plateau (P=.01).

CONCLUSIONS

The current results support the feasibility and sensitivity of high-frequency cognitive assessments for disease and treatment monitoring in patients with depression. Methods to model the individual plateau in task learning can be used as a sensitive approach to better characterize changes in behavior and improve the clinical relevance of cognitive data. Wearable technology allows assessment of activity levels, which may influence both cognition and mood.

The effect of a prosocial environment on health and well-being during the first COVID-19 lockdown and a year later

The outset of the COVID-19 pandemic was characterized by prolonged periods of chronic stress and social isolation. While studies have investigated the changes to well-being (WB) during this period, the impact of the social environment on long-term physical and mental health requires further study. This study aimed to assess the factors influencing WB and health outcomes, with the hypothesis that a positive social environment would play a significant immediate and long-term role in improving WB and preventing the effects of anxiety associated with the pandemic. At time point 1 (April 2020), an Israeli sample of 206 participants (84% female, mean age 31.5) responded to traditional questionnaires assessing mental health and social support. Factors affecting WB were assessed within subjects during the first COVID-19 lockdown for 6 weeks using a daily survey (Beiwe phone application). A year later, in May 2021, at time point 2, the initial questionnaires were readministered to a subset of the same participants (N = 94). We found that anxiety during the first lockdown adversely affected WB and predicted health and WB deterioration a year later. In contrast, a high quality of social relationships was associated with better short- and long-term WB, and mitigated the adverse effects of anxiety. Daily activities, including physical activity, meditation, and romantic relations, were also positively associated with WB during the first lockdown but did not have long-term effects. In summary, our study underscores the enduring health advantages of a positive social environment, particularly during stressful periods. These results have implications for health policymakers: programs which support individuals with high anxiety and low support, by integrating them into community-based interventions, promise to enhance well-being (WB) and health, as well as to fortify the community as a whole.

Daily Stress, Drinking Motives and Alcohol Co-Use with Other Drugs

Background: Recent evidence indicates that alcohol and other substance co-use, compared to alcohol-only use, might be more closely associated with negative reinforcement processes, and thus more likely during periods of increased stress. The present study examined this possibility by using data from an intensive longitudinal (daily) study of college student drinkers (N = 1461, 54% women). We also examined individual differences in coping and enhancement drinking motives as predictors of alcohol and other substance co-use. Results: We used multilevel multinomial logistic regression to predict, relative to alcohol-only days, the likelihood of alcohol co-use with either cigarettes or marijuana, along with alcohol use with multiple substances and other substance-only use from daily interpersonal and academic stress, day-of-the-week, sex, and individual differences in coping and enhancement drinking motives. We found that, relative to alcohol-only, alcohol and marijuana co-use was more likely, and non-alcohol related substance use was less likely, on weekends. Alcohol and marijuana co-use was less likely, and other substance-only use was more likely, on days characterized by greater academic stress, whereas alcohol and cigarette co-use was more likely on days characterized by greater interpersonal stress. Individuals with higher levels of drinking to cope motivation were more likely to engage in alcohol and cigarette co-use, other substance-only use, and alcohol plus multiple substances, relative to alcohol-only. Individuals with higher levels of enhancement motives were more likely to engage in all types of alcohol and other substance co-use and other substance-only use relative to alcohol-only. Conclusions: Findings are discussed in terms of the complex nature of different patterns of co-use patterns when evaluating indicators of positive- and negative-reinforcement processes.

Everyday discrimination, co-ethnic social support and mood changes in young adult immigrants in Germany-Evidence from an ecological momentary assessment study

Objective

In the context of international migration flows, Germany is the second largest receiving country of migrants in the world. The aim of this study is to investigate the momentary mood effects of discrimination experiences for young adult immigrants and which social resources can buffer negative effects. A distinction is made between the importance of inter and intra-ethnic interaction partners in processing stressors.

Method

Using an ecological momentary assessment design, first-generation migrants in Germany who had recently migrated from Poland, Turkey or Syria were interviewed three times a day over seven days in June 2021 (N individuals = 976; N observations = 11,470). The timing of the short surveys was chosen at random using a signal contingent sampling method. Participants reported their momentary mood and instances of discrimination, along with information on social support perception and interaction partners during the preceding hour in the context of their everyday lives. Hybrid mixed-effects regression models were estimated and the research questions were tested with three-way interactions.

Results

The results indicate that perceived social support only moderately buffers the negative effect of everyday discrimination experiences on mood. A positive main effect on mood is observed for situational variations in perceived social support as well as for support from interaction partners.

Conclusion

The findings illustrate that being embedded in supportive relationships is important in everyday life, regardless of the occurrence of stressors. Furthermore, the study suggests that the level of perceived support is more important for first-generation migrants than the ethnic origin of the support provider.

Penumbral thoughts: Contents of consciousness upon waking

Thoughts shape our experience, choice, and behaviour throughout the day. Yet the content of 'penumbral thoughts'-first thoughts upon waking-has received very little research attention. Across seven independent samples (total N = 829), we used recall and reflection methods, solicited the same day, to understand what individuals think as they regain consciousness. These penumbral thoughts show remarkable thematic consistency: individuals were most likely to reflect on their somatic or psychological state, focus on temporal orientation, and prioritise waking actions. Survey results demonstrate that temporal and spatial orientation are dominated by the current time and the day ahead, rather than the past or other future timescales. Our results provide some insight into the order of priority in consciousness. We conclude that establishing one's temporal position is important to the daily process of 'rebooting' conscious awareness.

Weakened weekdays: lockdown disrupts the weekly cycle of risk tolerance

Risk tolerance decreases from Monday to Thursday and increases on Friday. Antecedents of this weekly risk cycle are difficult to investigate experimentally as manipulating the seven-day cycle is impractical. Here we used temporal disorientation during the UK COVID-19 lockdown to conduct a natural experiment. In two studies, we measured responses to risk in participants with either a strong or weak sense of weekday, after either a short or long period of disruption to their weekly routine by lockdown. In Study 1 (N = 864), the weekly risk cycle was consistent in risk attitude measures specifically to participants who reported a strong sense of weekday. In Study 2 (N = 829), the weekly risk cycle was abolished, even for participants who retained a strong sense of weekday. We propose that two factors sustain the weekly risk cycle. If the sense of weekday is lacking, then weekday will have little effect because the current day is not salient. If weekday associations decay, then weekday will have little effect because the current day is not meaningful. The weekly risk cycle is strong and consistent when (i) sense of weekday is robust and (ii) weekday associations are maintained.

Vulnerability to sleep-related affective disturbances? A closer look at dysfunctional beliefs and attitudes about sleep as a moderator of daily sleep-affect associations in young people

STUDY OBJECTIVES

Sleep and affect are closely related. Whether modifiable cognitive factors moderate this association is unclear. This study examined whether Dysfunctional Beliefs and Attitudes about Sleep moderate the impact of sleep on next-day affect in young people.

METHODS

Four hundred and sixty-eight young people (205 adolescents, 54.1% female, M ± SDage=16.92 ± 0.87; 263 emerging adults, 71.9% female, M±SDage=21.29 ± 1.73) self-reported sleep and affect, and wore an actigraph for 7-28 days, providing >5000 daily observations. Linear mixed-effects models tested whether Dysfunctional Beliefs and Attitudes about Sleep moderated daily associations between self-reported and actigraphic sleep duration, sleep efficiency, and next-day affect on between- and within-person levels. Both valence (positive/negative) and arousal (high/low) dimensions of affect were examined. Covariates included age, sex, race/ethnicity, day of week, and previous-day affect.

RESULTS

Dysfunctional Beliefs and Attitudes about Sleep significantly moderated sleep and high arousal positive affect associations on between- but not within-person levels. Individuals with higher Dysfunctional Beliefs and Attitudes about Sleep (+1 SD) and lower average sleep duration (actigraphic: p = .020; self-reported: p = .047) and efficiency (actigraphic: p = .047) had significantly lower levels of high arousal positive affect. After adjusting for multiple comparisons, Dysfunctional Beliefs and Attitudes about Sleep did not moderate relationships between sleep duration and low arousal positive affect (p ≥ .340).

CONCLUSIONS

Young people with more unhelpful beliefs about sleep and shorter, or poorer, sleep may experience dampened levels of high arousal positive affect. DBAS may constitute a modifiable factor increasing affective vulnerability on a global but not day-to-day level. Intervention studies are needed to determine if changing Dysfunctional Beliefs and Attitudes about Sleep may reduce sleep-related affect disturbances in young people.

To each their own: a review of individual differences and metaphorical perspectives on time

How do people talk-and potentially think-about abstract concepts? Supported by abundant linguistic evidence, Conceptual Metaphor Theory posits that people draw upon concrete concepts to structure abstract ones via metaphorical connections. Often, the source domain for a metaphor draws upon embodied physical experience, as in the time is space system, whereby representations in the domain of time are thought to arise from experiences of navigating through, orienting within, and observing motion in space. In recent years, psychological evidence has suggested that the connections between space and time are indeed conceptual; however, many gaps in our understanding of the workings of metaphor remain. Notably, until recently, the unique variations in the ways in which people experience metaphor have been largely overlooked, with much research falling prey to what Dąbrowska has identified as one of the 'deadly sins' of cognitive linguistics: to ignore individual differences. By focusing on two widely studied metaphors for time, Moving Time and Moving Ego, this review article shines a spotlight on the varied ways in which people draw on their embodied and enculturated experiences, along with 'human experience' on an individual level and the contexts within which they use metaphor. In doing so, it highlights the importance for metaphoric conceptualization of variation across languages, across contexts, and across individuals, suggesting that while the use and interpretation of metaphor may begin with cross-domain connections, they are but part of the story.

Does self-harm have the desired effect? Comparing non-suicidal self-injury to high-urge moments in an ambulatory assessment design

All theoretical models of non-suicidal self-injury (NSSI) posit that regulation of negative affect (NA) is a central motive for NSSI, and cross-sectional work supports this. However, previous ambulatory assessment (AA) studies that examined NSSI found mixed results. We investigated the affect regulation function of NSSI in 51 women with DSM-5 NSSI disorder in a 15-day AA study with five random daily prompts and self-initiated NSSI prompts. We extend previous work by i) comparing NSSI moments to moments of a high-urge for NSSI, ii) adding high-frequency sampling following NSSI and high-urge moments, and iii) including tension as a dependent variable. We hypothesized that NA and tension would show a steeper decrease following NSSI than following high-urge moments, if NSSI was effective in reducing NA and tension. Results showed that the significant linear NA decline following NSSI was not steeper than that following high-urge moments. For aversive tension, we found that NSSI was associated with a significant linear decrease in tension, whereas resisting an urge was not. High-urge moments were better described by an inverted U-shaped pattern, likewise leading to decreased NA and tension following the reported urge. In exploratory analyses, we provide visualized clustering of the NA and tension trajectories surrounding NSSI using k-means and relate these to participants' self-rated effectiveness of the NSSI events. Findings indicate that resisting an urge may also be effective in managing NA and tension and underline the utility of interventions such as urge-surfing.

The day-of-week (DOW) effect on liberalism-conservatism: Evidence from a large-scale online survey in China

Introduction

Past research has shown that psychological states tend to fluctuate across the days of a week, which is referred to as the day-of-week (DOW) effect. This study investigated the DOW effect on liberalism-conservatism among Chinese people by testing two competing hypotheses. According to the cognitive states hypothesis, it was predicted that liberalism would be high on Mondays but gradually decrease to Fridays due to the depletion of cognitive resources over the weekdays. In contrast, the affective states hypothesis predicted the opposite, considering the more positive affect brought by the approaching weekends. Both hypotheses predicted the level of liberalism would peak at weekends.

Methods

Data (n = 171,830) were collected via an online questionnaire, the Chinese Political Compass (CPC) survey, which includes 50 items to measure people' liberalism-conservatism in three domains (i.e., political, economic, and social).

Results

The results showed the level of liberalism decreased gradually from Mondays until Wednesdays, rebounded from Wednesdays to Fridays, and peaked at weekends.

Discussion

The V-shaped pattern suggested that the DOW fluctuation in liberalism-conservatism could derive from the synergy of both cognitive and affective processes, instead of either one alone. The findings have important implications for practice and policy-making, including the recent pilot scheme of 4-day workweek.

Mood and implicit confidence independently fluctuate at different time scales

Mood is an important ingredient of decision-making. Human beings are immersed into a sea of ​​emotions where episodes of high mood alternate with episodes of low mood. While changes in mood are well characterized, little is known about how these fluctuations interact with metacognition, and in particular with confidence about our decisions. We evaluated how implicit measurements of confidence are related with mood states of human participants through two online longitudinal experiments involving mood self-reports and visual discrimination decision-making tasks. Implicit confidence was assessed on each session by monitoring the proportion of opt-out trials when an opt-out option was available, as well as the median reaction time on standard correct trials as a secondary proxy of confidence. We first report a strong coupling between mood, stress, food enjoyment, and quality of sleep reported by participants in the same session. Second, we confirmed that the proportion of opt-out responses as well as reaction times in non-opt-out trials provided reliable indices of confidence in each session. We introduce a normative measure of overconfidence based on the pattern of opt-out selection and the signal-detection-theory framework. Finally and crucially, we found that mood, sleep quality, food enjoyment, and stress level are not consistently coupled with these implicit confidence markers, but rather they fluctuate at different time scales: mood-related states display faster fluctuations (over one day or half-a-day) than confidence level (two-and-a-half days). Therefore, our findings suggest that spontaneous fluctuations of mood and confidence in decision making are independent in the healthy adult population.

Older people are not always happier than younger people: The moderating role of personality

The present research explored whether the well-established U-shaped relationship between age and happiness varied with personality. Individuals ranging from 15 to 75 years of age (N = 10,456, 84.9% female) completed online surveys of subjective well-being (i.e. life satisfaction, positive affect, and negative affect) and the Big Five personality traits (International Personality Item Pool [IPIP]). The results of hierarchical multiple regression using the PROCESS macro not only supported the prediction of a U-shaped relationship between age and well-being but also revealed that the quadratic relationship is moderated by agreeableness and neuroticism. Specifically, well-being did not bounce back in later adulthood on the well-being curve across different age groups with low agreeableness and high neuroticism. Moreover, positive affect did not increase and even decreased in later adulthood among those with low agreeableness. This study discusses the potential mechanisms.

Analysis of dynamic psychological processes to understand and promote physical activity behaviour using intensive longitudinal methods: a primer

Physical activity behaviour displays temporal variability, and is influenced by a range of dynamic psychological processes (e.g., affect) and shaped by various co-occurring events (e.g., social/environmental factors, interpersonal dynamics). Yet, most physical activity research tends not to examine the dynamic psychological processes implicated in adopting and maintaining physical activity. Intensive longitudinal methods (ILM) represent one particularly salient means of studying the complex psychological dynamics that underlie and result from physical activity behaviour. With the increased recent interest in using intensive longitudinal data to understand specific dynamic psychological processes, the field of exercise and health psychology is well-positioned to draw from state-of-the-art measurement and statistical approaches that have been developed and operationalised in other fields of enquiry. The purpose of this review is to provide an overview of some of the fundamental dynamic measurement and modelling approaches applicable to the study of physical activity behaviour change, as well as the dynamic psychological processes that contribute to such change.

Mood effects on semantic processes: Behavioural and electrophysiological evidence

Mood (i.e., our current background affective state) often unobtrusively yet pervasively affects how we think and behave. Typically, theoretical frameworks position it as an embodied source of information (i.e., a biomarker), activating thinking patterns that tune our attention, perception, motivation, and exploration tendencies in a context-dependent manner. Growing behavioural and electrophysiological research has been exploring the mood–language interactions, employing numerous semantics-oriented experimental paradigms (e.g., manipulating semantic associations, congruity, relatedness, etc.) along with mood elicitation techniques (e.g., affectively evocative film clips, music, pictures, etc.). Available behavioural and electrophysiological evidence has suggested that positive and negative moods differently regulate the dynamics of language comprehension, mostly due to the activation of mood-dependent cognitive strategies. Namely, a positive mood has been argued to activate global and heuristics-based processing and a negative mood – local and detail-oriented processing during language comprehension. Future research on mood–language interactions could benefit greatly from (i) a theoretical framework for mood effects on semantic memory, (ii) measuring mood changes multi-dimensionally, (iii) addressing discrepancies in empirical findings, (iv) a replication-oriented approach, and (v) research practices counteracting publication biases.

Ecological momentary assessment of affect in depression-prone and control samples: Survey compliance and affective yield

BACKGROUND

Ecological momentary assessment (EMA) is a high-frequency ambulatory data collection approach that has come to be widely used in emotion research. It therefore is timely to examine two features of EMA needed for a successful study: compliance with survey prompts and high affective yield (survey prompts that capture affect experience). We posit that compliance may be subject to temporal variation (time-of-day, days in study) and individual differences (depression history), and that affective yield may also differ by social context.

METHODS

We examined these issues in a sample of 318 young adults (Mage = 24.7 years, SD = 2.7), including those with current depression (n = 28), remitted depression (n = 168) and never-depressed controls (n = 122) who participated in a 7-day EMA protocol of negative and positive affect (NA and PA, respectively).

RESULTS

The overall compliance rate was 91% and remained stable across the survey week. However, subjects were significantly less likely to respond to the first daily prompt compared to those that followed. The likelihood of capturing NA and PA decreased with each EMA protocol day, and affective yield across social contexts differed by participants' depression status.

LIMITATIONS

The sample was largely comprised of White young adults. Relative to the remitted and control groups, the sample size for the currently depressed was unbalanced.

CONCLUSION

Researchers can optimize compliance and affective yield within EMA by considering depression, time-of-day, study duration, and social context. Clinicians using EMA to monitor affect may benefit from considering these parameters.

When and Where Do People Regulate Their Emotions? Patterns of Emotion Regulation in Unselected and Socially Anxious Young Adults

Introduction: The current studies examined how smartphone-assessed contextual features (i.e., location, time-of-day, social situation, and affect) contribute to the relative likelihood of emotion regulation strategy endorsement in daily life. Methods: Emotion regulation strategy endorsement and concurrent contextual features were assessed either passively (e.g., via GPS coordinates) or via self-report among unselected (Study 1: N = 112; duration = 2 weeks) and socially anxious (Study 2: N = 106; duration = 5 weeks) young adults. Results: An analysis of 2,891 (Study 1) and 12,289 (Study 2) mobile phone survey responses indicated small differences in rates of emotion regulation strategy endorsement across location (e.g., home vs. work/education settings), time-of-day (e.g., afternoon vs. evening), time-of-week (i.e., weekdays vs. weekends) and social context (e.g., with others vs. alone). However, emotion regulation patterns differed markedly depending on the set of emotion regulation strategies examined, which likely partly explains some inconsistent results across the studies. Also, many observed effects were no longer significant after accounting for state affect in the models. Discussion: Results demonstrate how contextual information collected with relatively low (or no) participant burden can add to our understanding of emotion regulation in daily life, yet it is important to consider state affect alongside other contextual features when drawing conclusions about how people regulate their emotions.

The modified German subjective vitality scale (SVS-GM): Psychometric properties and application in daily life

Subjective vitality describes the positive feeling of experiencing physical and mental energy, which can lead to purposive actions, but no German instruments exist with action-oriented verbiage: This work supports the development and modification of already existing German Subjective Vitality Scales and provides further evidence for its psychometric properties. In a first step (N = 56) two modified (action-oriented) short-forms were developed. An extension of time perspectives (past, present, future) should also enrich the scale by enhancing the accuracy of self-reports. Study 1 (N = 183) then examined the psychometric properties for each time perspective. Study 2 (N = 27) was a 6-day diary study to identify the reliability of within- and between-person differences in vitality over time and working days with responses recorded three times per day. The exploratory factor analysis from study 1 revealed a three-factor solution with three items each. Test-retest reliability was moderate for the past and future time perspective and less stable for state subjective vitality. The modified German Subjective Vitality Scale (SVS-GM) showed divergent validity with fatigue, negative affect, and optimism, and convergent but distinguishable validity with life satisfaction, positive affect, and perceived self-efficacy. High reliability for daily vitality measures (with lower vitality rates in the morning) was found in study 2, but no substantial variation was found between working days and days off. The SVS-GM shows good psychometric properties in different settings and provides researchers with a 3-item (for cross-sectional or longitudinal studies) and 1-item (for short screenings) version to measure subjective vitality in German-speaking populations.

Validating daily social media macroscopes of emotions

Measuring sentiment in social media text has become an important practice in studying emotions at the macroscopic level. However, this approach can suffer from methodological issues like sampling biases and measurement errors. To date, it has not been validated if social media sentiment can actually measure the temporal dynamics of mood and emotions aggregated at the level of communities. We ran a large-scale survey at an online newspaper to gather daily mood self-reports from its users, and compare these with aggregated results of sentiment analysis of user discussions. We find strong correlations between text analysis results and levels of self-reported mood, as well as between inter-day changes of both measurements. We replicate these results using sentiment data from Twitter. We show that a combination of supervised text analysis methods based on novel deep learning architectures and unsupervised dictionary-based methods have high agreement with the time series of aggregated mood measured with self-reports. Our findings indicate that macro level dynamics of mood expressed on an online platform can be tracked with social media text, especially in situations of high mood variability.

Dietary Factors, Time of the Week, Physical Fitness and Saliva Cortisol: Their Modulatory Effect on Mental Distress and Mood

Background: The purpose of the study was to assess the effect of diet quality and physical fitness on saliva cortisol, mood, and mental distress. These relationships were compared between a peak weekday (Wednesday) and a weekend day (Saturday) when mood may fluctuate. Methods: Forty-eight healthy college students participated in the study. Participants completed the Mood and Anxiety Symptom (MASQ) and Kessler Psychological Distress Scale 10 questionnaires on Wednesday and Saturday and recorded their diet for three days. Saliva was collected before and after a workout for cortisol extraction. Results: SA had significantly higher saliva cortisol levels post-workout but lower MASQ scores on Saturday (p < 0.05). There was a very significant association between MASQ scores on Wednesday (p = 0.005), which became less significant on Saturday. In addition, lower BMI values and high-fat consumption were associated with higher cortisol levels after exercise (p < 0.05). Conclusions: There is a strong link between dietary factors, cortisol levels, mood, and time of the week. In addition, our results suggest that saliva cortisol levels may not be directly linked to negative affect but are influenced by diet quality when mental distress exists. In addition, physical fitness may play a role in improving mood during weekends.

Tell Me Why I Do Not Like Mondays

We conduct a strict and broad analysis of the 30-day expected volatility (VIX) of five very active individual US stocks, three US domestic indices, and that of 10-year US Treasury notes. We find prominent non-random movement patterns mainly on Mondays and Fridays. Furthermore, significant leaps in expected volatility on Monday occur primarily in the first two and the fifth Mondays of the month. We also document that higher values for the 30-day expected volatility on Mondays are more likely when there was a negative change in the volatility on the preceding Fridays. This pattern does not occur on other subsequent days of the week. The results are robust through time and different subsamples and are not triggered by outliers or the week during which the options on the underlying assets expire. Rational and irrational drivers are suggested to explain the findings. Given that, to date, no one has conducted such an examination, our findings are important for investors interested in buying or selling volatility instruments.

Child development in real time: The power of ambulatory assessment for investigating dynamic developmental processes and behavior longitudinally

Ambulatory assessment methods used to capture "real-world" microprocesses through self-report or passive data collection are used to assess child and adolescent behavior in context. This chapter begins by introducing the researcher to ambulatory assessment methods and describes these methods for use in child and adolescent developmental and behavioral research. Next, the importance of attention to timing is discussed. We then suggest appropriate analytic methods for putting ambulatory assessment data to best use to answer developmental research questions. We end with comments on the ethics of ambulatory assessment data and some concluding remarks for researchers wanting to use these methods in their own work.

Weekly Variations of Intracerebral Hemorrhage Occurrence Among Different Populations: A Cross-Sectional Study

Background and purpose: The causes of the higher incidence of intracerebral hemorrhage (ICH) on a given day are unclear. Previous studies have shown that it may vary by region and population. The purpose of this study was to detect weekly variations in ICH occurrence in southwest China and to assess differences in ICH occurrence among different populations.

Methods: This hospital-based study included patients with first-onset ICH that occurred from January 1, 2012, to December 31, 2019. The weekly variation in ICH occurrence was analyzed and stratified by sex, age, comorbidities, living habits, and residence.

Results: A total of 5,038 patients with first-onset ICH were enrolled. ICH occurrence was higher on Monday [odds ratio (OR), 1.22; 95% CI, 1.09–1.36; P < 0.001] and Friday (OR, 1.15; 95% CI, 1.03–1.28; P < 0.001) among all patients, and this pattern was consistent with that of men, whereas women showed a higher incidence on Mondays, Saturdays, and Sundays. The increase in the number of ICH events on Monday and Friday was pronounced in the age range of 41–60 years; however, no significant weekly variation in ICH occurrence was observed among other age groups. After stratifying by comorbidities, a significant weekly variation in ICH occurrence was observed in patients with hypertension or diabetes. Smoking and alcohol consumption was associated with a higher incidence of ICH on Friday; otherwise, a Monday excess was observed. The urban population demonstrated a significant weekly variation in ICH occurrence, whereas the rural population did not.

Conclusions: Intracerebral hemorrhage occurrence showed weekly variations in southwest China and was significantly affected by sex, age, comorbidities, living habits, and residence. This suggests that weekly variations in ICH occurrence maybe dependent on the region and population.

Twitter, time and emotions

The study of temporal trajectories of emotions shared in tweets has shown that both positive and negative emotions follow nonlinear circadian (24 h) and circaseptan (7-day) patterns. But to this point, such findings could be instrument-dependent as they rely exclusively on coding using the Linguistic Inquiry Word Count. Further, research has shown that self-referential content has higher relevance and meaning for individuals, compared with other types of content. Investigating the specificity of self-referential material in temporal patterns of emotional expression in tweets is of interest, but current research is based upon generic textual productions. The temporal variations of emotions shared in tweets through emojis have not been compared to textual analyses to date. This study hence focuses on several comparisons: (i) between Self-referencing tweets versus Other topic tweets, (ii) between coding of textual productions versus coding of emojis, and finally (iii) between coding of textual productions using different sentiment analysis tools (the Linguistic Inquiry and Word Count-LIWC; the Valence Aware Dictionary and sEntiment Reasoner-VADER and the Hu Liu sentiment lexicon-Hu Liu). In a collection of more than 7 million Self-referencing and close to 18 million Other topic content-coded tweets, we identified that (i) similarities and differences in terms of shape and amplitude can be observed in temporal trajectories of expressed emotions between Self-referring and Other topic tweets, (ii) that all tools feature significant circadian and circaseptan patterns in both datasets but not always, and there is often a correspondence in the shape of circadian and circaseptan patterns, and finally (iii) that circadian and circaseptan patterns obtained from the coding of emotional expression in emojis sometimes depart from those of the textual analysis, indicating some complementarity in the use of both modes of expression. We discuss the implications of our findings from the perspective of the literature on emotions and well-being.

How COVID-19 affected mental well-being: An 11- week trajectories of daily well-being of Koreans amidst COVID-19 by age, gender and region

The present study examined the daily well-being of Koreans (n = 353,340) for 11 weeks during the COVID-19 pandemic (January 20 -April 7). We analyzed whether and how life satisfaction, positive affect, negative affect, and life meaning changed during the outbreak. First, we found that the well-being of Koreans changed daily in a cubic fashion, such that it declined and recovered during the early phase but declined substantially during the later phase (after COVID- 19 was declared world pandemic by WHO). Second, unlike other emotions, boredom displayed a distinctive pattern of linear increase, especially for younger people, suggesting that boredom might be, in part, responsible for their inability to comply with social distancing recommendations. Third, the well-being of older people and males changed less compared to younger people and females. Finally, daily well-being dropped significantly more in the hard-hit regions than in other regions. Implications and limitations are discussed.

The Effects of Day of the Week on Temporal Ambiguity Resolution

Previous research has suggested that individuals’ resolution of temporal ambiguity relies on experiences in physical domains, as well as on future event valence and emotional experiences. In the current study, we investigate whether the interpretation of a temporally ambiguous question is modulated by the day of the week on which the study was conducted. We asked participants (N = 208) to resolve the ambiguous time question on different days of the week (Monday or Friday). The results of the experiment indicate differences in processing of temporal ambiguity between different days of the week. The study raises the interesting possibility that days of the week can have important implications for resolving temporal ambiguity.

Associations between daily affect and sleep vary by sleep assessment type: What can ambulatory EEG add to the picture?

OBJECTIVE/BACKGROUND

Disrupted sleep can be a cause and a consequence of affective experiences. However, daily longitudinal studies show sleep assessed via sleep diaries is more consistently associated with positive and negative affect than sleep assessed via actigraphy. The objective of the study was to test whether sleep parameters derived from ambulatory electroencephalography (EEG) in a naturalistic setting were associated with day-to-day changes in affect.

PARTICIPANTS/METHOD

Eighty adults (mean age = 32.65 years, 63% female) completed 7 days of affect and sleep assessments. We examined bidirectional associations between morning positive affect and negative affect with sleep assessed via diary, actigraphy, and ambulatory EEG.

RESULTS

Mornings with lower positive affect than average were associated with higher diary- and actigraphy-determined sleep efficiency that night. Mornings with higher negative affect than average were associated with longer actigraphy-determined total sleep time that night. Nights with longer diary-determined total sleep time, greater sleep efficiency, and shorter sleep onset latency than average were associated with higher next-morning positive affect, and nights with lower diary-determined wake-after-sleep-onset were associated with lower next-morning negative affect. EEG-determined sleep and affect results were generally null in both directions: only higher morning negative affect was associated with longer rapid eye movement (REM) sleep that night.

CONCLUSIONS

Self-reported sleep and affect may occur in a bidirectional fashion for some sleep parameters. EEG-determined sleep and affect associations were inconsistent but may still be important to assess in future studies to holistically capture sleep. Single-channel EEG represents a novel, ecologically valid tool that may provide information beyond diaries and actigraphy.

The Day of the Week Effect on Subjective Well-Being in the European Social Survey

Abstract. In large-scale social surveys, respondents are typically interviewed on different days of the week. Because previous research established systematic daily fluctuations of people’s mood, it was hypothesized that subjective well-being ratings might be similarly affected by the day the interview takes place. Therefore, an individual-participant meta-analysis of 221 representative samples from the European Social Survey including 408,637 participants is presented. The random-effects meta-analysis found a negligible day of the week effect on life satisfaction and happiness ratings, even after accounting for selection and interviewer effects. Although significantly different ratings were observed on Sundays, the size of the obtained effects was trivial. These findings provide little evidence that the interview day has a meaningful impact on subjective well-being research in cross-sectional, large-scale studies.

Investor Psychology, Mood Variations, and Sustainable Cross-Sectional Returns: A Chinese Case Study on Investing in Illiquid Stocks on a Specific Day of the Week

This paper uncovers a new finding of sustainable cross-sectional variations in stock returns explained by mood fluctuations across the days of the week. Long/short leg of illiquid anomaly returns are extensively related to the days of the week, and the magnitude of excess returns is also striking [Long leg refers to portfolio deciles that earn higher excess returns. Historical evidence suggests that more illiquid stock earn higher excess returns (Amihud, 2002; Corwin and Schultz, 2012)]. The speculative leg of illiquid anomalies is the long leg (Birru, 2018) [The speculative leg falls into the long leg of anomaly because more illiquid stocks are sensitive to investor sentiment (Birru, 2018)]. Therefore, the long (speculative) leg experiences more sustainable high returns on Friday than the short (non-speculative) leg. At the same time, relatively higher long (speculative) leg returns were witnessed on Friday than Monday with a greater magnitude difference. These cross-sectional variations in illiquid stocks on specific days are consistent with the explanation of the limit to arbitrage. The observed variations in cross-sectional returns are sustained and consistent with plenty of evidence from psychology research regarding the low mood on Monday and high mood on Friday.

Modeling Spatiotemporal Factors Associated With Sentiment on Twitter: Synthesis and Suggestions for Improving the Identification of Localized Deviations

Background

Studies examining how sentiment on social media varies depending on timing and location appear to produce inconsistent results, making it hard to design systems that use sentiment to detect localized events for public health applications.

Objective

The aim of this study was to measure how common timing and location confounders explain variation in sentiment on Twitter.

Methods

Using a dataset of 16.54 million English-language tweets from 100 cities posted between July 13 and November 30, 2017, we estimated the positive and negative sentiment for each of the cities using a dictionary-based sentiment analysis and constructed models to explain the differences in sentiment using time of day, day of week, weather, city, and interaction type (conversations or broadcasting) as factors and found that all factors were independently associated with sentiment.

Results

In the full multivariable model of positive (Pearson r in test data 0.236; 95% CI 0.231-0.241) and negative (Pearson r in test data 0.306; 95% CI 0.301-0.310) sentiment, the city and time of day explained more of the variance than weather and day of week. Models that account for these confounders produce a different distribution and ranking of important events compared with models that do not account for these confounders.

Conclusions

In public health applications that aim to detect localized events by aggregating sentiment across populations of Twitter users, it is worthwhile accounting for baseline differences before looking for unexpected changes.

Analysts issuing forecasts on weekends

Purpose

This study aims to investigate the motivation of financial analysts issuing forecasts on weekends and the impact of such behavior on forecast accuracy and analysts’ careers.

Design/methodology/approach

Logistic regression and ordinary least squares models with Huber–White standard errors were used in this study.

Findings

This paper first documented the emerging trends of the weekend forecasts after 2000. Longitudinal data from 2002 to 2011 validated that analysts’ conscientious timing of information release in line with their workload and confidence level gives more accurate forecasts. Further, given the same accuracy, analysts exhibiting diffident behaviors (analysts who are predicted to work on weekdays but in fact work on weekends) are not fired or demoted by brokerage houses, but those exhibiting inactive behaviors (analysts who are predicted to work on weekends but did not do so) are more likely to be dismissed or demoted by brokerage houses, indicating that brokerage houses are aware of the negative effect of both behaviors, but treat them differently.

Research limitations/implications

Weekend versus weekday proxies for an analyst’s timing of information release consider only one of many timing options. Other timing proxies, the nature and the composition of the information release of analysts are not examined in this study.

Practical implications

For practitioners, the results indicate that depending on the alignment, capital market can predict analysts’ future forecast accuracy, and hence, respond accordingly. For example, in addition to analyst forecast level or change, investors could pay attention to when the information is released to the market and possible reasons behind the choice of timing. Investors can thus better assess the forecast accuracy of one specific forecast and respond with the right action. Furthermore, analysts can better project their own forecast accuracy and career potential by assessing to what extent their forecasts are released conscientiously.

Social implications

This study examines analysts’ forecast behavior, but generate some insights on linking the analysts and investors in the capital market.

Originality/value

This study is the author’s original work.

Everybody's working for the weekend: changes in enjoyment of everyday activities across the retirement threshold

BACKGROUND

the aim of this study was to explore the associations between use of time and momentary hedonic affect ('enjoyment') in adults in the peri-retirement period.

METHODS

a total of 124 adults [61 males, 63 females; age 62 (4) years] completed a computerised use-of-time recall on 4 days at each of four time points (3-6 months pre-, 3, 6 and 12 months post-retirement), as well as surveys regarding self-reported health, well-being, sleep quality and loneliness. They reported how much they enjoyed each activity on a 0-10 scale. An individual Enjoyment Index was calculated as the time-weighted average of each participant's enjoyment ratings. Time-weighted enjoyment ratings were also calculated for nine mutually exclusive and exhaustive activity domains (Sleep, Chores, Work, Social, Screen Time, Self-care, Quiet Time, Transport, Physical Activity) and sub-domains.

RESULTS

the mean (±SD) Enjoyment Index was 7.43 ± 0.61, and was significantly and positively associated with well-being (P = 0.003 to P < 0.0001) and sleep quality (P = 0.03 to P < 0.0001), and negatively associated with loneliness (P = 0.003 to P < 0.0001). Mean Enjoyment Index values increased significantly (P < 0.0001) from pre-retirement (7.19 ± 0.82) to post-retirement (7.46 ± 0.89, 7.42 ± 0.91 and 7.49 ± 0.89 at 3, 6 and 12 months post-retirement). There were significant differences in enjoyment across domains, with Physical Activity (7.86 ± 1.11) and Social (7.66 ± 0.85) being the most enjoyable, and Work (7.10 ± 0.89) and Chores (7.09 ± 0.85) the least enjoyable.

CONCLUSION

enjoyment of everyday activities increased after retirement and remained elevated for at least 12 months. Work appears to constitute a relative hedonic deficit.

Common variant in OXTR predicts growth in positive emotions from loving-kindness training

Ample research suggests that social connection reliably generates positive emotions. Oxytocin, a neuropeptide implicated in social cognition and behavior, is one biological mechanism that may influence an individual's capacity to extract positive emotions from social contexts. Because variation in certain genes may indicate underlying neurobiological differences, we tested whether several SNPs in two genes related to oxytocin signaling would show effects on positive emotions that were context-specific, depending on sociality. For six weeks, a sample of mid-life adults (N=122) participated in either socially-focused loving-kindness training or mindfulness training. During this timespan they reported their positive emotions daily. Five SNPs within OXTR and CD38 were assayed, and each was tested for its individual effect on daily emotions. The hypothesized three-way interaction between time, training type, and genetic variability emerged: Individuals homozygous for the G allele of OXTR rs1042778 experienced gains in daily positive emotions from loving-kindness training, whereas individuals with the T allele did not experience gains in positive emotions with either training. These findings are among the first to show how genetic differences in oxytocin signaling may influence an individual's capacity to experience positive emotions as a result of a socially-focused intervention.

Weekly Fluctuations in Risk Tolerance and Voting Behaviour

Risk tolerance is fundamental to decision-making and behaviour. Here we show that individuals’ tolerance of risk follows a weekly cycle. We observed this cycle directly in a behavioural experiment using the Balloon Analogue Risk Task (Lejuez et al., 2002; Study 1). We also observed it indirectly via voting intentions, gathered from 81,564 responses across 70 opinion polls ahead of the Scottish Independence Referendum of 2014 (Study 2) and 149,064 responses across 77 opinion polls ahead of the United Kingdom European Union membership referendum of 2016 (Study 3). In all three studies, risk-tolerance decreased from Monday to Thursday before returning to a higher level on Friday. This pattern is politically significant because UK elections and referendums are traditionally held on a Thursday—the lowest point for risk tolerance. In particular, it raises the possibility that voting outcomes in the UK could be systematically risk-averse. In line with our analysis, the actual proportion of Yes votes in the Scottish Independence Referendum was 4% lower than forecast. Taken together, our findings reveal that the seven-day weekly cycle may have unexpected consequences for human decision-making. They also suggest that the day on which a vote is held could determine its outcome.

Marital Quality and Negative Experienced Well-Being: An Assessment of Actor and Partner Effects Among Older Married Persons

OBJECTIVES

We evaluate (a) associations between marital quality (emotional support, strain, and overall appraisal) and three negative aspects of experienced well-being (frustration, sadness, and worry) among older husbands and wives and (b) the relative importance of own versus spouse's marital quality assessments for understanding experienced well-being in later life.

METHOD

Data are from the 2009 Disability and Use of Time daily diary supplement to the Panel Study of Income Dynamics (N = 722). We estimate actor-partner interdependence models, using seemingly unrelated regression.

RESULTS

Own reports of marital strain are associated with own frustration, sadness, and worry among wives and are associated with frustration only among husbands. Own reports of marital support are associated with negative emotion among husbands only: higher levels of marital support are associated with less worry. Results from partner effects analyses also are mixed. Husbands' reports of marital strain are associated with wives' elevated frustration levels, whereas wives' reports of greater marital support are associated with their husbands' higher frustration levels.

DISCUSSION

One's own and spouse's marital appraisals play a complex role in shaping negative emotions among older adults. Findings suggest that frustration is a particularly complex emotion and a promising area for further study among older married couples.

How Was the Weekend? How the Social Context Underlies Weekend Effects in Happiness and Other Emotions for US Workers

In this paper we estimate the size of weekend effects for seven emotions and then explore their main determinants for the working population in the United States, using the Gallup/Healthways US Daily Poll 2008–2012. We first find that weekend effects exist for all emotions, and that these effects are not explained by sample selection bias. Full-time workers have larger weekend effects than do part-time workers. We then explore the sources of weekend effects and find that workplace trust and workplace social relations, combined with differences in social time spent with family and friends, together almost fully explain the weekend effects for happiness, laughter, enjoyment and sadness, for both full-time and part-time workers, with significant but smaller proportions explained for the remaining three emotions—worry, anger and stress. Finally, we show that workplace trust and social relations significantly improve emotions and life evaluations on both weekends and weekdays for all workers.

Communal bereavement and resilience in the aftermath of a terrorist event: Evidence from a natural experiment

RATIONALE

Sociological analyses of the psychological distress experienced by persons indirectly exposed to traumatic stressors have been conceptualized as a form of communal bereavement, defined by Catalano and Hartig (2001) as the experience of distress among persons not attached to the deceased. Their theory predicts communal bereavement responses particularly in the setting of loss of essential state, religious, or economic institutions.

OBJECTIVE

To estimate the extent to which the September 11, 2001 attacks on the U.S. World Trade Center had a causal effect on psychological distress nationwide.

METHODS

We used a difference-in-differences framework applied to repeated cross-sectional data from more than 300,000 participants in the 2000 and 2001 Behavioral Risk Factor Surveillance System surveys. Psychological distress was measured using three questions eliciting days of poor mental health-related quality of life. The September 11 attacks served as our exposure of interest.

RESULTS

The September 11 attacks had a statistically significant, adverse, causal effect on psychological distress nationally. Both the magnitude and statistical significance of the estimated effects were larger in the New York City region compared to the rest of the country. Our estimates were robust to probes of the parallel trends assumption and potential sources of selection bias, as well as to falsification tests. However, these effects had largely resolved within four weeks.

CONCLUSIONS

Contrary to findings from the medical and public health literature, we conclude that the September 11 attacks did not have lasting effects on communal bereavement.

Mental Representations of Weekdays

Keeping social appointments involves keeping track of what day it is. In practice, mismatches between apparent day and actual day are common. For example, a person might think the current day is Wednesday when in fact it is Thursday. Here we show that such mismatches are highly systematic, and can be traced to specific properties of their mental representations. In Study 1, mismatches between apparent day and actual day occurred more frequently on midweek days (Tuesday, Wednesday, and Thursday) than on other days, and were mainly due to intrusions from immediately neighboring days. In Study 2, reaction times to report the current day were fastest on Monday and Friday, and slowest midweek. In Study 3, participants generated fewer semantic associations for "Tuesday", "Wednesday" and "Thursday" than for other weekday names. Similarly, Google searches found fewer occurrences of midweek days in webpages and books. Analysis of affective norms revealed that participants' associations were strongly negative for Monday, strongly positive for Friday, and graded over the intervening days. Midweek days are confusable because their mental representations are sparse and similar. Mondays and Fridays are less confusable because their mental representations are rich and distinctive, forming two extremes along a continuum of change.

Parent-child associations in pedometer-determined physical activity and sedentary behaviour on weekdays and weekends in random samples of families in the Czech Republic

This study investigates whether more physically active parents bring up more physically active children and whether parents’ level of physical activity helps children achieve step count recommendations on weekdays and weekends. The participants (388 parents aged 35–45 and their 485 children aged 9–12) were randomly recruited from 21 Czech government-funded primary schools. The participants recorded pedometer step counts for seven days (≥10 h a day) during April–May and September–October of 2013. Logistic regression (Enter method) was used to examine the achievement of the international recommendations of 11,000 steps/day for girls and 13,000 steps/day for boys. The children of fathers and mothers who met the weekend recommendation of 10,000 steps were 5.48 (95% confidence interval: 1.65; 18.19; p < 0.01) and 3.60 times, respectively (95% confidence interval: 1.21; 10.74; p < 0.05) more likely to achieve the international weekend recommendation than the children of less active parents. The children of mothers who reached the weekday pedometer-based step count recommendation were 4.94 times (95% confidence interval: 1.45; 16.82; p < 0.05) more likely to fulfil the step count recommendation on weekdays than the children of less active mothers.

Examining the Interplay of Processes Across Multiple Time-Scales: Illustration With the Intraindividual Study of Affect, Health, and Interpersonal Behavior (iSAHIB)

Human development is characterized by the complex interplay of processes that manifest at multiple levels of analysis and time-scales. We introduce the Intraindividual Study of Affect, Health and Interpersonal Behavior (iSAHIB) as a model for how multiple time-scale study designs facilitate more precise articulation of developmental theory. Combining age heterogeneity, longitudinal panel, daily diary, and experience sampling protocols, the study made use of smartphone and web-based technologies to obtain intensive longitudinal data from 150 persons age 18-89 years as they completed three 21-day measurement bursts (t = 426 bursts, t = 8,557 days) wherein they provided reports on their social interactions (t = 64,112) as they went about their daily lives. We illustrate how multiple time-scales of data can be used to articulate bioecological models of development and the interplay among more 'distal' processes that manifest at 'slower' time-scales (e.g., age-related differences and burst-to-burst changes in mental health) and more 'proximal' processes that manifest at 'faster' time-scales (e.g., changes in context that progress in accordance with the weekly calendar and family influence processes).

Longitudinal patterns of physical activity in children aged 8 to 12 years: the LOOK study

BACKGROUND

Data on longitudinal monitoring of daily physical activity (PA) patterns in youth over successive years is scarce but may provide valuable information for intervention strategies aiming to promote PA.

METHODS

Participants were 853 children (starting age ~8 years) recruited from 29 Australian elementary schools. Pedometers were worn for a 7-day period each year over 5 consecutive years to assess PA volume (steps per day) and accelerometers were worn concurrently in the final 2 years to assess PA volume (accelerometer counts (AC) per day), moderate and vigorous PA (MVPA), light PA (LPA) and sedentary time (SED). A general linear mixed model was used to examine daily and yearly patterns.

RESULTS

A consistent daily pattern of pedometer step counts, AC, MVPA and LPA emerged during each year, characterised by increases on school days from Monday to Friday followed by a decrease on the weekend. Friday was the most active and Sunday the least active day. The percentage of girls and boys meeting international recommendations of 11,000 and 13,000 steps/day respectively on a Monday, Friday and Sunday were 36%, 50%, 21% for boys and 35%, 45%, 18% for girls. The equivalent percentages meeting the recommended MVPA of >60 min/day on these days were 29%, 39%, 16% for boys and 15%, 21%, 10% for girls. Over the 5 years, boys were more active than girls (mean steps/day of 10,506 vs 8,750; p<0.001) and spent more time in MVPA (mean of 42.8 vs 31.1 min/day; p<0.001). Although there was little evidence of any upward or downward trend in steps/day from age 8 to 12 years, there was a trend toward lower MVPA, LPA and a corresponding increase in SED from age 11 to 12 years.

CONCLUSION

A weekly pattern of PA occurred in children as young as age 8 on a day by day basis; these patterns persisting through to age 12. In addition to supporting previous evidence of insufficient PA in children, our data, in identifying the level and incidence of insufficiency on each day of the week, may assist in the development of more specific strategies to increase PA in community based children.