The impact of hypoglycaemia on daily functioning among adults with diabetes: a prospective observational study using the Hypo-METRICS app.

AIMS/HYPOTHESIS: The aim of this work was to examine the impact of hypoglycaemia on daily functioning among adults with type 1 diabetes or insulin-treated type 2 diabetes, using the novel Hypo-METRICS app. METHODS: For 70 consecutive days, 594 adults (type 1 diabetes, n=274; type 2 diabetes, n=320) completed brief morning and evening Hypo-METRICS 'check-ins' about their experienced hypoglycaemia and daily functioning. Participants wore a blinded glucose sensor (i.e. data unavailable to the participants) for the study duration. Days and nights with or without person-reported hypoglycaemia (PRH) and/or sensor-detected hypoglycaemia (SDH) were compared using multilevel regression models. RESULTS: Participants submitted a mean ± SD of 86.3±12.5% morning and 90.8±10.7% evening check-ins. For both types of diabetes, SDH alone had no significant associations with the changes in daily functioning scores. However, daytime and night-time PRH (with or without SDH) were significantly associated with worsening of energy levels, mood, cognitive functioning, negative affect and fear of hypoglycaemia later that day or while asleep. In addition, night-time PRH (with or without SDH) was significantly associated with worsening of sleep quality (type 1 and type 2 diabetes) and memory (type 2 diabetes). Further, daytime PRH (with or without SDH), was associated with worsening of fear of hyperglycaemia while asleep (type 1 diabetes), memory (type 1 and type 2 diabetes) and social functioning (type 2 diabetes). CONCLUSIONS/INTERPRETATION: This prospective, real-world study reveals impact on several domains of daily functioning following PRH but not following SDH alone. These data suggest that the observed negative impact is mainly driven by subjective awareness of hypoglycaemia (i.e. PRH), through either symptoms or sensor alerts/readings and/or the need to take action to prevent or treat episodes.

Perceived glucose levels matter more than CGM-based data in predicting diabetes distress in type 1 or type 2 diabetes: a precision mental health approach using n-of-1 analyses.

AIMS/HYPOTHESIS: Diabetes distress is one of the most frequent mental health issues identified in people with type 1 and type 2 diabetes. Little is known about the role of glucose control as a potential contributor to diabetes distress and whether the subjective perception of glucose control or the objective glycaemic parameters are more important for the experience. With the emergence of continuous glucose monitoring (CGM), this is a relevant question as glucose values are now visible in real-time. We employed a precision monitoring approach to analyse the independent associations of perceived and measured glucose control with diabetes distress on a daily basis. By using n-of-1 analyses, we aimed to identify individual contributors to diabetes distress per person and analyse the associations of these individual contributors with mental health at a 3 month follow-up. METHODS: In this prospective, observational study, perceived (hypoglycaemia/hyperglycaemia/glucose variability burden) and measured glucose control (time in hypoglycaemia and hyperglycaemia, CV) were assessed daily for 17 days using an ecological momentary assessment (EMA) approach with a special EMA app and CGM, respectively. Mixed-effect regression analysis was performed, with daily diabetes distress as the dependent variable and daily perceived and CGM-measured metrics of glucose control as random factors. Individual regression coefficients of daily distress with perceived and CGM-measured metrics were correlated with levels of psychosocial well-being at a 3 month follow-up. RESULTS: Data from 379 participants were analysed (50.9% type 1 diabetes; 49.6% female). Perceived glucose variability (t=14.360; p<0.0001) and perceived hyperglycaemia (t=13.637; p<0.0001) were the strongest predictors of daily diabetes distress, while CGM-based glucose variability was not significantly associated (t=1.070; p=0.285). There was great heterogeneity between individuals in the associations of perceived and measured glucose parameters with diabetes distress. Individuals with a stronger association between perceived glucose control and daily distress had more depressive symptoms (ß=0.32), diabetes distress (ß=0.39) and hypoglycaemia fear (ß=0.34) at follow-up (all p<0.001). Individuals with a stronger association between CGM-measured glucose control and daily distress had higher levels of psychosocial well-being at follow-up (depressive symptoms: ß=-0.31; diabetes distress: ß=-0.33; hypoglycaemia fear: ß=-0.27; all p<0.001) but also higher HbA1c (ß=0.12; p<0.05). CONCLUSIONS/INTERPRETATION: Overall, subjective perceptions of glucose seem to be more influential on diabetes distress than objective CGM parameters of glycaemic control. N-of-1 analyses showed that CGM-measured and perceived glucose control had differential associations with diabetes distress and psychosocial well-being 3 months later. The results highlight the need to understand the individual drivers of diabetes distress to develop personalised interventions within a precision mental health approach.

Mental health, pain and likelihood of opioid misuse among adults with sickle cell disease.

Depressive symptoms are prevalent in individuals living with sickle cell disease (SCD) and may exacerbate pain. This study examines whether higher depressive symptoms are associated with pain outcomes, pain catastrophizing, interference and potential opioid misuse in a large cohort of adults with SCD. The study utilized baseline data from the 'CaRISMA' trial, which involved 357 SCD adults with chronic pain. Baseline assessments included pain intensity, daily mood, the Patient Health Questionnaire (PHQ), the Generalized Anxiety Disorders scale, PROMIS Pain Interference, Pain Catastrophizing Scale, the Adult Sickle Cell Quality of Life Measurement Information System and the Current Opioid Misuse Measure. Participants were categorized into 'high' or 'low' depression groups based on PHQ scores. Higher depressive symptoms were significantly associated with increased daily pain intensity, negative daily mood, higher pain interference and catastrophizing, poorer quality of life and a higher likelihood of opioid misuse (all p < 0.01). SCD patients with more severe depressive symptoms experienced poorer pain outcomes, lower quality of life and increased risk of opioid misuse. Longitudinal data from this trial will determine whether addressing depressive symptoms may potentially reduce pain frequency and severity in SCD.

The Causes and Consequences of Drifting Expectations.

Awaiting news of uncertain outcomes is distressing because the news might be disappointing. To prevent such disappointments, people often "brace for the worst," pessimistically lowering expectations before news arrives to decrease the possibility of surprising disappointment (a negative prediction error, or PE). Computational decision-making research commonly assumes that expectations do not drift within trials, yet it is unclear whether expectations pessimistically drift in real-world, high-stakes settings, what factors influence expectation drift, and whether it effectively buffers emotional responses to goal-relevant outcomes. Moreover, individuals learn from PEs to accurately anticipate future outcomes, but it is unknown whether expectation drift also impedes PE-based learning. In a sample of students awaiting exam grades (N = 625), we found that expectations often drift and tend to drift pessimistically. We demonstrate that bracing is preferentially modulated by uncertainty; it transiently buffers the initial emotional impact of negative PEs but impairs PE-based learning, counterintuitively sustaining uncertainty into the future.

Person-specific and pooled prediction models for binge eating, alcohol use and binge drinking in bulimia nervosa and alcohol use disorder.

BACKGROUND: Machine learning could predict binge behavior and help develop treatments for bulimia nervosa (BN) and alcohol use disorder (AUD). Therefore, this study evaluates person-specific and pooled prediction models for binge eating (BE), alcohol use, and binge drinking (BD) in daily life, and identifies the most important predictors. METHODS: A total of 120 patients (BN: 50; AUD: 51; BN/AUD: 19) participated in an experience sampling study, where over a period of 12 months they reported on their eating and drinking behaviors as well as on several other emotional, behavioral, and contextual factors in daily life. The study had a burst-measurement design, where assessments occurred eight times a day on Thursdays, Fridays, and Saturdays in seven bursts of three weeks. Afterwards, person-specific and pooled models were fit with elastic net regularized regression and evaluated with cross-validation. From these models, the variables with the 10% highest estimates were identified. RESULTS: The person-specific models had a median AUC of 0.61, 0.80, and 0.85 for BE, alcohol use, and BD respectively, while the pooled models had a median AUC of 0.70, 0.90, and 0.93. The most important predictors across the behaviors were craving and time of day. However, predictors concerning social context and affect differed among BE, alcohol use, and BD. CONCLUSIONS: Pooled models outperformed person-specific models and the models for alcohol use and BD outperformed those for BE. Future studies should explore how the performance of these models can be improved and how they can be used to deliver interventions in daily life.

Profiles of disordered eating behaviour in type 1 diabetes using the DEPS-R and behaviour and glycaemic outcomes in a real-life setting.

AIMS: The Diabetes Eating Problems Survey - Revised (DEPS-R) is commonly used to assess disordered eating behaviour (DEB) in individuals with type 1 diabetes and has advantages compared to other measures not specifically tailored to diabetes. A score ≥20 on the DEPS-R is used to indicate clinically significant DEB; however, it does not distinguish between eating disorder (ED) phenotypes necessary to guide treatment decisions, limiting clinical utility. METHODS: The current study used latent class analysis to identify distinct person-centred profiles of DEB in adults with type 1 diabetes using the DEPS-R. Analysis of Variance with Games Howell post-hoc comparisons was then conducted to examine the correspondence between the profiles and binge eating, insulin restriction and glycaemic control (HbA1c, mean blood glucose, and percent time spent in hyperglycaemia) during 3 days of assessment in a real-life setting. RESULTS: Latent class analysis indicated a 4-class solution, with patterns of item endorsement suggesting the following profiles: Bulimia, Binge Eating, Overeating and Low Pathology. Differences in binge eating, insulin restriction and glycaemic control were observed between profiles during 3 days of at-home assessment. The Bulimia profile was associated with highest HbA1c and 3-day mean blood glucose. CONCLUSIONS: There are common patterns of responses on the DEPS-R that appear to reflect different ED phenotypes. Profiles based on the DEPS-R corresponded with behaviour in the real-life setting as expected and were associated with different glycaemic outcomes. Results may have implications for the use of the DEPS-R in research and clinical settings.

Associations of clinical, psychological, and sociodemographic characteristics and ecological momentary assessment completion in the 10-week Hypo-METRICS study: Hypoglycaemia MEasurements ThResholds and ImpaCtS.

INTRODUCTION: Reporting of hypoglycaemia and its impact in clinical studies is often retrospective and subject to recall bias. We developed the Hypo-METRICS app to measure the daily physical, psychological, and social impact of hypoglycaemia in adults with type 1 and insulin-treated type 2 diabetes in real-time using ecological momentary assessment (EMA). To help assess its utility, we aimed to determine Hypo-METRICS app completion rates and factors associated with completion. METHODS: Adults with diabetes recruited into the Hypo-METRICS study were given validated patient-reported outcome measures (PROMs) at baseline. Over 10 weeks, they wore a blinded continuous glucose monitor (CGM), and were asked to complete three daily EMAs about hypoglycaemia and aspects of daily functioning, and two weekly sleep and productivity PROMs on the bespoke Hypo-METRICS app. We conducted linear regression to determine factors associated with app engagement, assessed by EMA and PROM completion rates and CGM metrics. RESULTS: In 602 participants (55% men; 54% type 2 diabetes; median(IQR) age 56 (45-66) years; diabetes duration 19 (11-27) years; HbA1c 57 (51-65) mmol/mol), median(IQR) overall app completion rate was 91 (84-96)%, ranging from 90 (81-96)%, 89 (80-94)% and 94(87-97)% for morning, afternoon and evening check-ins, respectively. Older age, routine CGM use, greater time below 3.0 mmol/L, and active sensor time were positively associated with app completion. DISCUSSION: High app completion across all app domains and participant characteristics indicates the Hypo-METRICS app is an acceptable research tool for collecting detailed data on hypoglycaemia frequency and impact in real-time.

Psychological precursors of epileptic seizures.

Psychological stress is the most commonly self-reported precursor of epileptic seizures. However, retrospective and prospective studies remain inconclusive in this regard. Here, we explored whether seizures would be preceded by significant changes in reported stressors or resource utilization. This study is based on high-frequency time series through daily online completion of personalized questionnaires of 9-24 items in epilepsy outpatients and compared responses 1-14 days before seizures with interictal time series. Fourteen patients (79% women, age = 23-64 years) completed daily questionnaires over a period of 87-898 days (median = 277 days = 9.2 months). A total of 4560 fully completed daily questionnaires were analyzed, 685 of which included reported seizure events. Statistically significant changes in preictal compared to interictal dynamics were found in 11 of 14 patients (79%) across 41 items (22% of all 187 items). In seven of 14 patients (50%), seizures were preceded by a significant mean increase of stressors and/or a significant mean decrease of resource utilization. This exploratory analysis of long-term prospective individual patient data on specific stressors and personal coping strategies generates the hypothesis that medium-term changes in psychological well-being may precede the occurrence of epileptic seizures in some patients.

Positive and negative social media experiences and proximal risk for suicidal ideation in adolescents.

BACKGROUND: Social media (SM) has received considerable attention as a potential risk factor for adolescent suicide. Few empirical studies, however, have examined adolescents' daily negative and positive experiences on SM and its proximal impacts on suicidal ideation (SI), particularly using intensive monitoring designs. METHOD: Adolescents (N = 60; 14-17 years; 49% girls; 62% LGBTQ+) recruited using SM across the United States and participated in an 8-week intensive monitoring protocol. Ecological momentary assessment (three brief surveys per day) asked about negative and positive SM experiences and SI (passive and active). Multilevel modelling was used to evaluate the within-person relationships between daily SM experiences (e.g. individual fluctuations compared to a person's average) and SI, controlling for average levels of SM experiences, SM use screen time, and lifetime SI. RESULTS: Significant within-person effects of negative and positive SM experiences were associated with days when adolescents had SI. Specifically, on days when teens endorsed more frequent negative SM experiences than usual, they were more likely to report SI. However, more positive SM experiences than usual were associated with a lower likelihood of having SI. There were no significant effects of SM use ('screen time') on SI or on the reverse associations of SI on next-day SM experiences. CONCLUSIONS: Results indicate that SM experiences may be dynamic and modifiable risk and protective factors for SI in adolescents, whereas there is no effect of SM screen time on SI. Our results highlight that targeting negative SM experiences and augmenting the positive experiences on SM may be critical targets to improve teens' mental health and prevent suicide, rather than focusing on limiting SM screen time.

Sleepless nights, sour moods: daily sleep-irritability links in a pediatric clinical sample.

BACKGROUND: Sleep, or a lack thereof, is strongly related to mood dysregulation. Although considerable research uses symptom scales to examine this relation, few studies use longitudinal, real-time methods focused on pediatric irritability. This study leveraged an ecological momentary assessment (EMA) protocol, assessing bidirectional associations between momentary irritability symptoms and daily sleep duration in a transdiagnostic pediatric sample enriched for irritability. METHODS: A total of N = 125 youth (Mage = 12.58 years, SD = 2.56 years; 74% male; 68.8% White) completed digital, in vivo surveys three times a day for 7 days. For a subset of youth, their parents also completed the EMA protocol. Trait irritability was measured using youth-, parent-, and clinician-report to test its potential moderating effect on the association between sleep duration and momentary irritability. RESULTS: Results from multilevel modeling dynamically linked sleep to irritability. Specifically, according to youth- and parent-report, decreased sleep duration was associated with increased morning irritability (bs ≤ -.09, ps < .049). A bidirectional association between parent-reported nightly sleep duration and anger was found-increased evening anger related to decreased nightly sleep duration, and decreased sleep duration related to increased morning anger (bs ≤ -.17, ps < .019). Trait irritability moderated this association, which was stronger for more irritable youth (b = -.03, p < .027). CONCLUSIONS: This study adds to the literature and suggests sleep-irritability dynamics as a potential treatment target.

A latent variable approach to jointly modeling longitudinal and cumulative event data using a weighted two-stage method.

Ecological momentary assessment (EMA), a data collection method commonly employed in mHealth studies, allows for repeated real-time sampling of individuals' psychological, behavioral, and contextual states. Due to the frequent measurements, data collected using EMA are useful for understanding both the temporal dynamics in individuals' states and how these states relate to adverse health events. Motivated by data from a smoking cessation study, we propose a joint model for analyzing longitudinal EMA data to determine whether certain latent psychological states are associated with repeated cigarette use. Our method consists of a longitudinal submodel-a dynamic factor model-that models changes in the time-varying latent states and a cumulative risk submodel-a Poisson regression model-that connects the latent states with the total number of events. In the motivating data, both the predictors-the underlying psychological states-and the event outcome-the number of cigarettes smoked-are partially unobservable; we account for this incomplete information in our proposed model and estimation method. We take a two-stage approach to estimation that leverages existing software and uses importance sampling-based weights to reduce potential bias. We demonstrate that these weights are effective at reducing bias in the cumulative risk submodel parameters via simulation. We apply our method to a subset of data from a smoking cessation study to assess the association between psychological state and cigarette smoking. The analysis shows that above-average intensities of negative mood are associated with increased cigarette use.

Ecological Momentary Assessment of Weight Stigma and Eating Behavior in Everyday Life.

BACKGROUND: Weight stigma is widespread, but the existing literature on its harmful consequences remains largely limited to lab-based experiments and large-scale longitudinal designs. PURPOSE: The purpose of this study was to understand how weight stigma unfolds in everyday life, and whether it predicts increased eating behavior. METHODS: In this event-contingent ecological momentary assessment study, 91 participants reported every time they experienced weight stigma and documented whether they ate, how much they ate, and what they ate. These reports were compared against a timepoint when they did not experience stigma. RESULTS: Participants reported a wide variety of stigmatizing events from a variety of sources, with the most common ones being the self, strangers, the media, and family. Multilevel models showed that participants were no more likely to eat post-stigma (vs. the comparison point), but if they did eat, they ate more servings of food (on average consuming 1.45 more servings, or 45% more). Moderation analyses indicated that this effect was amplified for men versus women. CONCLUSION: Experiencing weight stigma appears to beget behavioral changes, potentially driving future weight gain, placing individuals at ever more risk for further stigmatization.

This study looked at how weight stigma in everyday life impacts eating. People reported on episodes of weight stigma and their eating in the next 30 min. Weight stigma came from many different places, including family, strangers, media, and even themselves. Even though people did not necessarily eat more after weight stigma episodes, if they did eat, they ate significantly more food­about 45% more. This relationship was stronger in men than in women. The study also explored whether different kinds of people react differently to weight stigma. Weight stigma experiences led to even more food eaten among people who tended to have high buy-in about negative stereotypes of heavier people, as well as people who thought weight was an important part of their identity. The opposite was seen among people who worried the most about experiencing weight stigma in the future. These findings suggest that experiencing weight stigma may not always prompt people to eat immediately, but when they do eat, they tend to eat more, challenging the idea that weight stigma motivates people to eat less.

Daily and Momentary Associations Between Gender Minority Stress and Resilience With Alcohol Outcomes.

BACKGROUND AND PURPOSE: Minority stressors have been linked with alcohol use among transgender and gender diverse (TGD); however, no ecological momentary assessment studies have examined daily links between minority stress and alcohol use specifically among TGD. This study examined gender minority stressors and resilience as predictors of same-day or momentary alcohol-related outcomes. Feasibility and acceptability of procedures were evaluated. METHODS: Twenty-five TGD adults (mean age = 32.60, SD = 10.82; 88% White) were recruited Canada-wide and participated remotely. They completed 21 days of ecological momentary assessment with daily morning and random surveys (assessing alcohol outcomes, risk processes, gender minority stressors, resilience), and an exit interview eliciting feedback. RESULTS: Gender minority stress had significant and positive within-person relationships with same-day alcohol use (incidence risk ratio (IRR) = 1.12, 95% confidence interval [CI] [1.02, 1.23]), alcohol-related harms (IRR = 1.14, 95% CI [1.02, 1.28]), and coping motives (IRR = 1.06, 95% CI [1.03, 1.08]), as well as momentary (past 30-min) alcohol craving (IRR = 1.32, 95% CI [1.18, 1.47]), coping motives (IRR = 1.35, 95% CI [1.21, 1.51]), and negative affect (IRR = 1.28, 95% CI [1.20, 1.36]). Gender minority stress indirectly predicted same-day drinking via coping motives (ab = 0.04, 95% CI [0.02, 0.08]). Resilience was positively associated with same-day alcohol use (IRR = 1.25, 95% CI [1.03, 1.51]) but not harms. CONCLUSIONS: TGD adults may use alcohol to cope with gender minority stress, which can increase the risk for alcohol-related harms. Interventions are needed to eliminate gender minority stressors and support adaptive coping strategies.

Many transgender and gender diverse (TGD) adults experience discrimination and victimization related to their minoritized gender, referred to as minority stress. Minority stress may put TGD adults at risk of drinking more alcohol and experiencing related harms in order to cope. To examine this possibility, we recruited 25 TGD adults and asked them to complete surveys multiple times per day (i.e., once daily in the morning, and two additional surveys at random times) on their personal cell phones. Using multilevel models, we examined the relations between experiencing minority stressors as well as resilience factors on alcohol-related outcomes. In doing so, we identified that gender minority stress was related to increased alcohol use, alcohol-related harms, negative mood, and drinking to cope motives. Furthermore, it appeared that the increased alcohol use following minority stress could be partly explained by desiring to drink to cope. Resilience did not protect TGD adults from increased alcohol use or harms, and in some cases was related to increased alcohol use. The results support that TGD adults may use alcohol to cope with gender minority stress, which can increase the risk for alcohol-related harms. Interventions are needed to eliminate gender minority stressors and support healthier coping strategies.

Goal pursuit increases more after dietary success than after dietary failure: examining conflicting theories of self-regulation using ecological momentary assessment.

BACKGROUND: Maintaining a healthy body weight and reaching long-term dietary goals requires ongoing self-monitoring and behavioral adjustments. How individuals respond to successes and failures is described in models of self-regulation: while cybernetic models propose that failures lead to increased self-regulatory efforts and successes permit a reduction of such efforts, motivational models (e.g., social-cognitive theory) make opposite predictions. Here, we tested these conflicting models in an ecological momentary assessment (EMA) context and explored whether effort adjustments are related to inter-individual differences in perceived self-regulatory success in dieting (i.e., weight management). METHODS: Using linear mixed effects models, we tested in 174 diet-interested individuals whether current day dietary success or failure (e.g., on Monday) was followed by self-regulatory effort adjustment for the next day (e.g., on Tuesday) across 14 days. Success vs. failure was operationalized with two EMA items: first, whether food intake was higher vs. lower than usual and second, whether food intake was perceived as more vs. less goal-congruent than usual. Trait-level perceived self-regulatory success in dieting was measured on a questionnaire. RESULTS: Intended self-regulatory effort increased more strongly after days with dietary success (i.e., eating less than usual / rating intake as goal-congruent) than after days with dietary failure (i.e., eating more than usual / rating intake as goal-incongruent), especially in those individuals with lower scores on perceived self-regulatory success in dieting. CONCLUSIONS: Findings support mechanisms proposed by social-cognitive theory, especially in unsuccessful dieters. Thus, future dietary interventions could focus on preventing the decrease in self-regulatory effort after instances of dietary failures and thereby mitigate the potential risk that a single dietary failure initiates a downward spiral into unhealthy eating.

Linking social reward responsiveness and affective responses to the social environment: An ecological momentary assessment study.

Social support is a key predictor of well-being, but not everyone experiences mental health benefits from receiving it. However, given that a growing number of interventions are based on social support, it is crucial to identify the features that make individuals more likely to benefit from social ties. Emerging evidence suggests that neural responses to positive social feedback (i.e., social reward) might relate to individual differences in social functioning, but potential mechanisms linking these neural responses to psychological outcomes are yet unclear. This study examined whether neural correlates of social reward processing, indexed by the reward positivity (RewP), relate to individuals' affective experience following self-reported real-world positive social support events. To this aim, 193 university students (71% females) underwent an EEG assessment during the Island Getaway task and completed a 10-day ecological momentary assessment where participants reported their positive and negative affects (PA, NA) nine times a day and the count of daily positive and negative events. Experiencing a higher number of social support positive events was associated with higher PA. The RewP moderated this association, such that individuals with greater neural response to social feedback at baseline had a stronger positive association between social support positive events count and PA. Individual differences in the RewP to social feedback might be one indicator of the likelihood of experiencing positive affect when receiving social support.

The influence of everyday emotions on mucosal immunity: An intensive longitudinal modeling approach.

Mucosal immunity is a multifaceted system of immunological responses that provides a barrier against pathogenic invasion and can be regulated by psychosocial and neuroendocrine factors. The present study aims to elucidate the association between everyday emotional states, emotion regulation skills, and mucosal immunity by utilizing an ambulatory assessment approach. 30 healthy subjects (61% male; M = 30.18 years old) completed an emotion questionnaire (PANAS) and collected saliva samples via passive drool to determine salivary immunoglobulin-A (S-IgA) excretion rate three times a day over a period of 1 week. In a multi-level model, the influence of emotions on S-IgA, both on a within-subject and between-subject level, was estimated. We found that most of the variation in S-IgA (74%) was accounted for by within-subject changes rather than stable between-subject differences. On a within-subject level, negative emotions had a significant positive effect on S-IgA levels (b = 1.87, p = .015), while positive emotions had no effect. This effect of negative emotions was moderated by the individual emotion regulation skills, with higher regulation skills corresponding to smaller effects (b = -2.67, p = .046). Furthermore, S-IgA levels decreased over the course of a day, indicating circadian rhythmicity (b = -0.13, p = .034). These results highlight the possibilities of intensive longitudinal data to investigate the covariance between psychological and immunological states over time.

Resting vagally-mediated heart rate variability in the laboratory is associated with momentary negative affect and emotion regulation in daily life.

Vagally-mediated heart rate variability (vmHRV) is a physiological index reflecting parasympathetic activity that has been linked to emotion regulation (ER) capacity. However, very limited research has examined associations of physiological indices of regulation such as vmHRV with emotional functioning in daily life. The few studies that exist have small samples sizes and typically focus on only a narrow aspect of ER or emotional functioning. In this study, we examined associations between vmHRV assessed in the laboratory and emotional/mental health functioning in daily life using a 7-day ecological momentary assessment design in 303 adult community participants. We hypothesized that higher resting vmHRV would be associated with higher positive affect (PA), lower negative affect (NA), less affective variability, greater well-being, fewer dysphoria symptoms, greater use of engagement ER strategies, and less use of avoidance ER strategies, as assessed in daily life. Results revealed that higher resting vmHRV in the laboratory (as indexed by both high frequency heart rate variability, HF-HRV, and the root mean of successive square deviations between heart beats, RMSSD) was significantly associated with less frequent use of avoidance ER strategies in daily life. Theoretical and clinical implications are discussed, including the association of vmHRV with negatively valenced, rather than positively valenced, daily life experiences.

Within- and between-person associations of time-varying determinants with snacking in older adults: an ecological momentary assessment study.

Promoting healthy snacking is important in addressing malnutrition, overweight and obesity among an ageing population. However, little is known about the factors underlying snacking behaviour in older adults. The present study aimed to explore within- and between-person associations between determinants (i.e. intention, visibility of snacks, social modelling and emotions) and snacking behaviours (i.e. decision to snack, health factor of the snack and portion size) in older adults (60+). Conducting a two-part intensive longitudinal design, data were analysed from forty-eight healthy older adults consisting of (1) an event-based self-report ecological momentary assessment (EMA) diary every time they had a snack and (2) a time-based EMA questionnaire on their phone five times per day. Analysis through generalised linear mixed models indicated that higher intention to snack healthily leads to healthier snacking while higher levels of social modelling and cheerfulness promote unhealthier choices within individuals. At the between-person level, similar results were found for intention and social modelling. Visibility of a snack increased portion size at both a within- and between-person level, while the intention to eat a healthy snack only increased portion size at the between-person level. No associations were found between the decision to snack and all determinants. This is the first study to investigate both within- and between-person associations between time-varying determinants and snacking in older adults. Such information holds the potential for incorporation into just-in-time adaptive interventions, allowing for personalised tailoring, more effective promotion of healthier snacking behaviours and thus pursuing the challenge of healthy ageing.

Linguistic style as a digital marker for depression severity: An ambulatory assessment pilot study in patients with depressive disorder undergoing sleep deprivation therapy.

BACKGROUND: Digital phenotyping and monitoring tools are the most promising approaches to automatically detect upcoming depressive episodes. Especially, linguistic style has been seen as a potential behavioral marker of depression, as cross-sectional studies showed, for example, less frequent use of positive emotion words, intensified use of negative emotion words, and more self-references in patients with depression compared to healthy controls. However, longitudinal studies are sparse and therefore it remains unclear whether within-person fluctuations in depression severity are associated with individuals' linguistic style. METHODS: To capture affective states and concomitant speech samples longitudinally, we used an ambulatory assessment approach sampling multiple times a day via smartphones in patients diagnosed with depressive disorder undergoing sleep deprivation therapy. This intervention promises a rapid change of affective symptoms within a short period of time, assuring sufficient variability in depressive symptoms. We extracted word categories from the transcribed speech samples using the Linguistic Inquiry and Word Count. RESULTS: Our analyses revealed that more pleasant affective momentary states (lower reported depression severity, lower negative affective state, higher positive affective state, (positive) valence, energetic arousal and calmness) are mirrored in the use of less negative emotion words and more positive emotion words. CONCLUSION: We conclude that a patient's linguistic style, especially the use of positive and negative emotion words, is associated with self-reported affective states and thus is a promising feature for speech-based automated monitoring and prediction of upcoming episodes, ultimately leading to better patient care.

Investigating home-based opioid use among youth with sickle cell disease using ecological momentary assessment.

BACKGROUND: Opioids are a common and essential treatment for acute sickle cell disease (SCD) pain. However, opioids carry well-known adverse side effects, including potential development of hyperalgesia and nociplastic pain. We characterized opioid use in youth with SCD using ecological momentary assessment (EMA) data, and investigated the relationships between home-based opioid use, pain, and a range of biopsychosocial factors. METHOD: Eighty-eight youth with SCD (aged 8-17 years) completed EMAs assessing home-based opioid use, pain, and related factors. Analyses consisted of descriptive and multilevel logistic regression to predict daily home opioid use. RESULTS: Youth averaged 3.64 weeks of EMAs. Approximately 35% of the sample (n = 31) took an opioid during the EMA period, and used them on only 24% of reported pain days. Youth who took opioids reported a higher percentage of pain days (t = -2.67, p < .05) and mean pain severity scores (t = -2.30, p < .05) than youth who did not take opioids. Multilevel logistic regression analyses indicated that high daily pain severity (odds ratio [OR] = 1.02, p < .01), older age (OR = 1.324, p < .01), and low positive affect (OR = 0.91, p < .01) were each related to an increased likelihood of opioid use. CONCLUSION: Youth with SCD take opioids appropriately in response to their pain, based on daily self-report. Beyond daily pain severity, age, and daily variation in positive affect were related to home-based opioid use. This suggests that behavioral interventions that enhance positive affect may promote reduced opioid use among youth with SCD.