Information theory reveals physiological manifestations of COVID-19 that correlate with symptom density of illness.

Algorithms for the detection of COVID-19 illness from wearable sensor devices tend to implicitly treat the disease as causing a stereotyped (and therefore recognizable) deviation from healthy physiology. In contrast, a substantial diversity of bodily responses to SARS-CoV-2 infection have been reported in the clinical milieu. This raises the question of how to characterize the diversity of illness manifestations, and whether such characterization could reveal meaningful relationships across different illness manifestations. Here, we present a framework motivated by information theory to generate quantified maps of illness presentation, which we term "manifestations," as resolved by continuous physiological data from a wearable device (Oura Ring). We test this framework on five physiological data streams (heart rate, heart rate variability, respiratory rate, metabolic activity, and sleep temperature) assessed at the time of reported illness onset in a previously reported COVID-19-positive cohort (N = 73). We find that the number of distinct manifestations are few in this cohort, compared to the space of all possible manifestations. In addition, manifestation frequency correlates with the rough number of symptoms reported by a given individual, over a several-day period prior to their imputed onset of illness. These findings suggest that information-theoretic approaches can be used to sort COVID-19 illness manifestations into types with real-world value. This proof of concept supports the use of information-theoretic approaches to map illness manifestations from continuous physiological data. Such approaches could likely inform algorithm design and real-time treatment decisions if developed on large, diverse samples.

Mindfulness-Based Group Medical Visits: Strategies to Improve Equitable Access and Inclusion for Diverse Patients in Cancer Treatment.

Background: Mindfulness-based interventions (MBIs) are supported by clinical practice guidelines as effective non-pharmacologic interventions for common symptoms experienced by cancer patients, including anxiety, depression, and fatigue. However, the evidence predominately derives from White breast cancer survivors. Racial and ethnic minority patients have less access to integrative oncology care and worse cancer outcomes. To address these gaps, we designed and piloted a series of mindfulness-based group medical visits (MB-GMVs), embedded into comprehensive cancer care, for racially and ethnically diverse patients in cancer treatment. Methods: As a quality improvement project, we launched a telehealth MB-GMV series for patients undergoing cancer treatment, delivered as four weekly 2-hour visits billable to insurance. Content was concordant with evidence-based guidelines and established MBIs and adapted to improve cultural relevance and fit (eg, access-centered, trauma-informed, with inclusive communication practices). Program structure was adapted to address barriers to participation, with ≥50% slots per series reserved for racial and ethnic minority patients. Intake surveys incorporated a demographic questionnaire and symptom assessments. Evaluations were sent following the visits. Results: In our first ten cohorts (n = 78), 80% of referred patients enrolled. Participants were: 22% Asian, 14% Black, 17% Latino, 45% non-Latino White; 65% female; with a median age of 54 years (range 27-79); and 80% had metastatic cancer. Common baseline symptoms included lack of energy, difficulty sleeping, and worrying. Most patients (90%) attended ≥3 visits. On final evaluations, 87% patients rated the series as "excellent"; 81% "strongly agreed" that they liked the GMV format; and 92% would "definitely" recommend the series to others. Qualitative themes included empowerment and connectedness. Conclusion: Telehealth GMVs are a feasible, acceptable, and financially sustainable model for increasing access to MBIs. Diverse patients in active cancer treatment were able to participate and reported high levels of satisfaction with this series that was tailored to center health equity and inclusion.

Feasibility and acceptability of an integrated mind-body intervention for depression: whole-body hyperthermia (WBH) and cognitive behavioral therapy (CBT).

OBJECTIVE: To examine the feasibility of an integrated mind-body MDD treatment combining cognitive behavioral therapy (CBT) and whole-body hyperthermia (WBH). METHODS: In this single-arm trial, 16 adults with MDD initially received 8 weekly CBT sessions and 8 weekly WBH sessions. Outcomes included WBH sessions completed (primary), self-report depression assessments completed (secondary), and pre-post intervention changes in depression symptoms (secondary). We also explored changes in mood and cognitive processes and assessed changes in mood as predictors of overall treatment response. RESULTS: Thirteen participants (81.3%) completed ≥ 4 WBH sessions (primary outcome); midway through the trial, we reduced from 8 weekly to 4 bi-weekly WBH sessions to increase feasibility. The n = 12 participants who attended the final assessment visit completed 100% of administered self-report depression assessments; all enrolled participants (n = 16) completed 89% of these assessments. Among the n = 12 who attended the final assessment visit, the average pre-post-intervention BDI-II reduction was 15.8 points (95% CI: -22.0, -9.70), p = 0.0001, with 11 no longer meeting MDD criteria (secondary outcomes). Pre-post intervention improvements in negative automatic thinking, but not cognitive flexibility, achieved statistical significance. Improved mood from pre-post the initial WBH session predicted pre-post treatment BDI-II change (36.2%; rho = 0.60, p = 0.038); mood changes pre-post the first CBT session did not. LIMITATIONS: Small sample size and single-arm design limit generalizability. CONCLUSION: An integrated mind-body intervention comprising weekly CBT sessions and bi-weekly WBH sessions was feasible. Results warrant future larger controlled clinical trials.Clinivaltrials.gov Registration: NCT05708976.

Utilizing Wearable Device Data for Syndromic Surveillance: A Fever Detection Approach.

Commercially available wearable devices (wearables) show promise for continuous physiological monitoring. Previous works have demonstrated that wearables can be used to detect the onset of acute infectious diseases, particularly those characterized by fever. We aimed to evaluate whether these devices could be used for the more general task of syndromic surveillance. We obtained wearable device data (Oura Ring) from 63,153 participants. We constructed a dataset using participants' wearable device data and participants' responses to daily online questionnaires. We included days from the participants if they (1) completed the questionnaire, (2) reported not experiencing fever and reported a self-collected body temperature below 38 °C (negative class), or reported experiencing fever and reported a self-collected body temperature at or above 38 °C (positive class), and (3) wore the wearable device the nights before and after that day. We used wearable device data (i.e., skin temperature, heart rate, and sleep) from the nights before and after participants' fever day to train a tree-based classifier to detect self-reported fevers. We evaluated the performance of our model using a five-fold cross-validation scheme. Sixteen thousand, seven hundred, and ninety-four participants provided at least one valid ground truth day; there were a total of 724 fever days (positive class examples) from 463 participants and 342,430 non-fever days (negative class examples) from 16,687 participants. Our model exhibited an area under the receiver operating characteristic curve (AUROC) of 0.85 and an average precision (AP) of 0.25. At a sensitivity of 0.50, our calibrated model had a false positive rate of 0.8%. Our results suggest that it might be possible to leverage data from these devices at a public health level for live fever surveillance. Implementing these models could increase our ability to detect disease prevalence and spread in real-time during infectious disease outbreaks.

Elevated body temperature is associated with depressive symptoms: results from the TemPredict Study.

Correlations between altered body temperature and depression have been reported in small samples; greater confidence in these associations would provide a rationale for further examining potential mechanisms of depression related to body temperature regulation. We sought to test the hypotheses that greater depression symptom severity is associated with (1) higher body temperature, (2) smaller differences between body temperature when awake versus asleep, and (3) lower diurnal body temperature amplitude. Data collected included both self-reported body temperature (using standard thermometers), wearable sensor-assessed distal body temperature (using an off-the-shelf wearable sensor that collected minute-level physiological data), and self-reported depressive symptoms from > 20,000 participants over the course of ~ 7 months as part of the TemPredict Study. Higher self-reported and wearable sensor-assessed body temperatures when awake were associated with greater depression symptom severity. Lower diurnal body temperature amplitude, computed using wearable sensor-assessed distal body temperature data, tended to be associated with greater depression symptom severity, though this association did not achieve statistical significance. These findings, drawn from a large sample, replicate and expand upon prior data pointing to body temperature alterations as potentially relevant factors in depression etiology and may hold implications for development of novel approaches to the treatment of major depressive disorder.

Variability of temperature measurements recorded by a wearable device by biological sex.

BACKGROUND: Females have been historically excluded from biomedical research due in part to the documented presumption that results with male subjects will generalize effectively to females. This has been justified in part by the assumption that ovarian rhythms will increase the overall variance of pooled random samples. But not all variance in samples is random. Human biometrics are continuously changing in response to stimuli and biological rhythms; single measurements taken sporadically do not easily support exploration of variance across time scales. Recently we reported that in mice, core body temperature measured longitudinally shows higher variance in males than cycling females, both within and across individuals at multiple time scales. METHODS: Here, we explore longitudinal human distal body temperature, measured by a wearable sensor device (Oura Ring), for 6 months in females and males ranging in age from 20 to 79 years. In this study, we did not limit the comparisons to female versus male, but instead we developed a method for categorizing individuals as cyclic or acyclic depending on the presence of a roughly monthly pattern to their nightly temperature. We then compared structure and variance across time scales using multiple standard instruments. RESULTS: Sex differences exist as expected, but across multiple statistical comparisons and timescales, there was no one group that consistently exceeded the others in variance. When variability was assessed across time, females, whether or not their temperature contained monthly cycles, did not significantly differ from males both on daily and monthly time scales. CONCLUSIONS: These findings contradict the viewpoint that human females are too variable across menstrual cycles to include in biomedical research. Longitudinal temperature of females does not accumulate greater measurement error over time than do males and the majority of unexplained variance is within sex category, not between them.

Women are still excluded from research disproportionately, due in part to documented concerns that menstrual cycles make them more variable and so harder to study. In the past, we have challenged this claim, finding it does not hold for animal physiology, animal behavior, or human behavior. Here we are able to show that it does not hold in human physiology either. We analyzed 6 months of continuously collected temperature data measured by a commercial wearable device, in order to determine if it is true that females are more variable or less predictable than males. We found that temperatures mostly vary as a function of time of day and whether the individual was awake or asleep. Additionally, for some females, nightly maximum temperature contained a cyclical pattern with a period of around 28 days, consistent with menstrual cycles. The variability was different between cycling females, not cycling females, and males, but only cycling female temperature contained a monthly structure, making their changes more predictable than those of non-cycling females and males. We found the majority of unexplained variance to be within each sex/cycling category, not between them. All groups had indistinguishable measurement errors across time. This analysis of temperature suggests data-driven characteristics might be more helpful distinguishing individuals than historical categories such as binary sex. The work also supports the inclusion of females as subjects within biological research, as this inclusion does not weaken statistical comparisons, but does allow more equitable coverage of research results in the world.

Protocol for a randomized controlled trial comparing a very low-carbohydrate diet or moderate-carbohydrate plate-method diet for type 2 diabetes: the LEGEND (Lifestyle Education about Nutrition for Diabetes) trial.

BACKGROUND: Optimal carbohydrate intake is an important and controversial area in the nutritional management of type 2 diabetes. Some evidence indicates that reducing overall carbohydrate intake with a low- or very low-carbohydrate eating plan can improve glycemic control compared to following eating plans that involve greater carbohydrate intake. However, critical knowledge gaps currently prevent clear recommendations about carbohydrate intake levels. METHODS: The LEGEND (Lifestyle Education about Nutrition for Diabetes) Trial aims to compare a very low-carbohydrate diet to a moderate-carbohydrate plate-method diet for glycemic control in adults with type 2 diabetes. This two-site trial plans to recruit 180 adults with type 2 diabetes. We will randomize participants to either a 20-session group-based diet and lifestyle intervention that teaches either a very low-carbohydrate diet or a moderate-carbohydrate plate-method diet. We will assess participants at study entry and 4 and 12 months later. The primary outcome is HbA1c, and secondary outcomes include inflammation (high sensitivity C-reactive protein), body weight, changes in diabetes medications, lipids (small particle LDL, HDL, triglycerides), skeletal metabolism (bone mineral density from dual-energy x-ray absorptiometry and bone turnover markers serum procollagen type I N propeptide and serum C-terminal telopeptide of type I collagen), and body composition (percent body fat, percent lean body mass). DISCUSSION: The LEGEND trial is a randomized controlled trial to assess optimal carbohydrate intake in type 2 diabetes by evaluating the effects of a very low-carbohydrate diet vs. a moderate-carbohydrate plate-method diet over a year-long period. The research addresses important gaps in the evidence base for the nutritional management of type 2 diabetes by providing data on potential benefits and adverse effects of different levels of carbohydrate intake. TRIAL REGISTRATION: ClinicalTrials.gov NCT05237128. Registered on February 11, 2022.

The Reliability of Rating via Audio-Recording Using the Mindfulness-Based Interventions: Teaching Assessment Criteria.

Background: The Mindfulness-Based Interventions: Teaching Assessment Criteria (MBI:TAC) is an important tool for assessing teacher skill and aspects of the fidelity of mindfulness-based interventions, but prior research on and implementation of the MBI:TAC has used video recordings, which can be difficult to obtain, share for assessments, and which increase privacy concerns for participants. Audio-only recordings might be a useful alternative, but their reliability is unknown. Objective: To assess evaluator perception of the rating process and inter-rater reliability of MBI:TAC ratings using audio-only recordings. Methods: We prepared audio-only files from video recordings of 21 previously rated Mindfulness-Based Stress Reduction teachers. Each audio recording was rated by 3 trained MBI:TAC assessors drawn from a pool of 12 who had previously participated in rating the video recordings. Teachers were rated by evaluators who had not viewed the video recording and did not know the teacher. We then conducted semi-structured interviews with evaluators. Results: On the 6 MBI:TAC domains, the intraclass correlation coefficients (ICCs) for audio recordings ranged from .53 to .69 using an average across 3 evaluators. Using a single rating resulted in lower ICCs (.27-.38). Bland-Altman plots showed audio ratings had little consistent bias compared to video recordings and agreed more closely for teachers with higher ratings. Qualitative analysis identified 3 themes: video recordings were particularly helpful when rating less skillful teachers, video recordings tended to provide a more complete picture for rating, and audio rating had some positive features. Conclusions: Inter-rater reliability of the MBI:TAC using audio-only recordings was adequate for many research and clinical purposes, and reliability is improved when using an average across several evaluators. Ratings using audio-only recordings may be more challenging when rating less experienced teachers.

Perceived Stress and Prediction of Worse Disease Activity and Symptoms in a Multiracial, Multiethnic Systemic Lupus Erythematosus Cohort.

OBJECTIVE: Studies have suggested a potential link between traumatic experiences, psychological stress, and autoimmunity, but the impact of stress on disease activity and symptom severity in systemic lupus erythematosus (SLE) remains unclear. The present study was undertaken to examine whether increases in perceived stress independently associate with worse SLE disease outcomes over 3 years of follow-up. METHODS: Participants were drawn from the California Lupus Epidemiology Study (CLUES). Stress was measured annually using the 4-item Perceived Stress Scale (PSS). Participants with increases of ≥0.5 SD in PSS score were defined as having an increase in stress. Four outcomes were measured at the year 3 follow-up visit: physician-assessed disease activity (Systemic Lupus Erythematosus Disease Activity Index); patient-reported disease activity (Systemic Lupus Activity Questionnaire); pain (Patient-Reported Outcomes Measurement Information System [PROMIS] pain interference scale); and fatigue (PROMIS fatigue scale). Multivariable linear regression evaluated longitudinal associations of increase in stress with all 4 outcomes while controlling for potential confounders. RESULTS: The sample (n = 260) was 91% female, 36% Asian, 30% White, 22% Hispanic, and 11% African American; the mean ± SD age was 46 ± 14 years. In adjusted longitudinal analyses, increase in stress was independently associated with greater physician-assessed disease activity (P = 0.015), greater self-reported disease activity (P < 0.001), more pain (P = 0.019), and more fatigue (P < 0.001). CONCLUSION: In a racially diverse sample of individuals with SLE, those who experienced an increase in stress had significantly worse disease activity and greater symptom burden at follow-up compared to those with stress levels that remained stable or declined. Findings underscore the need for interventions to bolster stress resilience and support effective coping strategies among individuals living with lupus.

Effects of a Mindfulness-Based Weight Loss Intervention on Long-Term Psychological Well-Being Among Adults with Obesity: Secondary Analyses from the Supporting Health by Integrating Nutrition and Exercise (SHINE) Trial.

Objective: This study tested whether a mindfulness-based intervention for obesity that included components aimed at emotion regulation and mindful eating improved psychological outcomes including stress, anxiety, positive emotion, and depression, during the intervention period and at longer-term follow-up. Methods: Adults with obesity (N=194) were randomized to a 5.5-month diet-exercise weight loss intervention with or without mindfulness training focused on emotion regulation and mindful eating. Participants completed self-report measures of mindfulness and psychological well-being, which were planned secondary outcomes, at baseline, mid-intervention (3 months), and at 6-, 12-, and 18-months post-baseline (maintenance period). Mixed effects models and linear regression were used to test between- and within-group changes in psychological well-being. Finally, this study explored whether changes in mindfulness (from baseline to each 6- and 18-months post-baseline) mediated the effects of intervention arm on changes in psychological outcomes during those respective time periods. This study explored whether changes in mindfulness from baseline to 6 months mediated the effects of intervention arm on changes in psychological outcomes from baseline to 18 months. Results: Participants randomized to the mindfulness arm had significant increases in positive emotions at all follow-up times compared to controls. There were statistically significant increases in mindfulness, psychological flexibility, and reflection, as well as decreases in anxiety and depressive symptoms at 12 months compared to control participants. These changes remained significant for psychological flexibility and reflection at 18 months. There were no significant differences in perceived stress. Among mindfulness participants, greater increases in mindfulness from 6-18 months was associated with greater positive emotions and psychological flexibility as well as lower perceived stress, anxiety, depressive symptoms, and rumination at 18 months, adjusting for 6-month values. Mediation analyses indicated that randomization to the mindfulness intervention arm was associated with 6-month increases in mindfulness, and these increases were in turn associated with improved psychological outcomes at 6 months and 18 months. Changes from baseline to 18 months did not mediate 18-month changes in psychological outcomes. Conclusions: Mindfulness training in emotion regulation and mindful eating may provide greater longer-term psychological well-being benefits in non-clinical populations with obesity compared to conventional diet-exercise interventions.

Methods for detecting probable COVID-19 cases from large-scale survey data also reveal probable sex differences in symptom profiles.

Background: Daily symptom reporting collected via web-based symptom survey tools holds the potential to improve disease monitoring. Such screening tools might be able to not only discriminate between states of acute illness and non-illness, but also make use of additional demographic information so as to identify how illnesses may differ across groups, such as biological sex. These capabilities may play an important role in the context of future disease outbreaks. Objective: Use data collected via a daily web-based symptom survey tool to develop a Bayesian model that could differentiate between COVID-19 and other illnesses and refine this model to identify illness profiles that differ by biological sex. Methods: We used daily symptom profiles to plot symptom progressions for COVID-19, influenza (flu), and the common cold. We then built a Bayesian network to discriminate between these three illnesses based on daily symptom reports. We further separated out the COVID-19 cohort into self-reported female and male subgroups to observe any differences in symptoms relating to sex. We identified key symptoms that contributed to a COVID-19 prediction in both males and females using a logistic regression model. Results: Although the Bayesian model performed only moderately well in identifying a COVID-19 diagnosis (71.6% true positive rate), the model showed promise in being able to differentiate between COVID-19, flu, and the common cold, as well as periods of acute illness vs. non-illness. Additionally, COVID-19 symptoms differed between the biological sexes; specifically, fever was a more important symptom in identifying subsequent COVID-19 infection among males than among females. Conclusion: Web-based symptom survey tools hold promise as tools to identify illness and may help with coordinated disease outbreak responses. Incorporating demographic factors such as biological sex into predictive models may elucidate important differences in symptom profiles that hold implications for disease detection.

Yoga for firefighters: Evaluation of a quality improvement program in California fire departments.

BACKGROUND: Firefighters experience high levels of physical and mental challenges. Yoga interventions have suggested benefits for firefighters. METHODS: This study reports results from a quality improvement assessment at fire departments with a 10-class yoga program. Main outcome is the total score on the Functional Movement Scale (FMS), an observer-based objective performance measure. A score of at least 14 [range 0-20] is considered as protective against injury. Secondary outcome is the score on the Multidimensional Assessment of Interoceptive Awareness (MAIA) questionnaire, a self-report measure for interoceptive bodily awareness as a parameter for a mechanism of action with yoga. We used descriptive statistics and regression analyses. RESULTS: Both total FMS and MAIA scores improved statistically significantly. The strongest performance improvement was seen in trunk stability. The mean FMS score improved from below 14 to 14 and higher indicating a decrease in the risk for injury. Changes in FMS and MAIA did not appear to be correlated. DISCUSSION: Despite the limitation of the study design, the findings support the potential benefits from a yoga program for firefighters.

Detection of COVID-19 using multimodal data from a wearable device: results from the first TemPredict Study.

Early detection of diseases such as COVID-19 could be a critical tool in reducing disease transmission by helping individuals recognize when they should self-isolate, seek testing, and obtain early medical intervention. Consumer wearable devices that continuously measure physiological metrics hold promise as tools for early illness detection. We gathered daily questionnaire data and physiological data using a consumer wearable (Oura Ring) from 63,153 participants, of whom 704 self-reported possible COVID-19 disease. We selected 73 of these 704 participants with reliable confirmation of COVID-19 by PCR testing and high-quality physiological data for algorithm training to identify onset of COVID-19 using machine learning classification. The algorithm identified COVID-19 an average of 2.75 days before participants sought diagnostic testing with a sensitivity of 82% and specificity of 63%. The receiving operating characteristic (ROC) area under the curve (AUC) was 0.819 (95% CI [0.809, 0.830]). Including continuous temperature yielded an AUC 4.9% higher than without this feature. For further validation, we obtained SARS CoV-2 antibody in a subset of participants and identified 10 additional participants who self-reported COVID-19 disease with antibody confirmation. The algorithm had an overall ROC AUC of 0.819 (95% CI [0.809, 0.830]), with a sensitivity of 90% and specificity of 80% in these additional participants. Finally, we observed substantial variation in accuracy based on age and biological sex. Findings highlight the importance of including temperature assessment, using continuous physiological features for alignment, and including diverse populations in algorithm development to optimize accuracy in COVID-19 detection from wearables.

Metrics from Wearable Devices as Candidate Predictors of Antibody Response Following Vaccination against COVID-19: Data from the Second TemPredict Study.

There is significant variability in neutralizing antibody responses (which correlate with immune protection) after COVID-19 vaccination, but only limited information is available about predictors of these responses. We investigated whether device-generated summaries of physiological metrics collected by a wearable device correlated with post-vaccination levels of antibodies to the SARS-CoV-2 receptor-binding domain (RBD), the target of neutralizing antibodies generated by existing COVID-19 vaccines. One thousand, one hundred and seventy-nine participants wore an off-the-shelf wearable device (Oura Ring), reported dates of COVID-19 vaccinations, and completed testing for antibodies to the SARS-CoV-2 RBD during the U.S. COVID-19 vaccination rollout. We found that on the night immediately following the second mRNA injection (Moderna-NIAID and Pfizer-BioNTech) increases in dermal temperature deviation and resting heart rate, and decreases in heart rate variability (a measure of sympathetic nervous system activation) and deep sleep were each statistically significantly correlated with greater RBD antibody responses. These associations were stronger in models using metrics adjusted for the pre-vaccination baseline period. Greater temperature deviation emerged as the strongest independent predictor of greater RBD antibody responses in multivariable models. In contrast to data on certain other vaccines, we did not find clear associations between increased sleep surrounding vaccination and antibody responses.

Physical Inactivity and Incident Depression in a Multiracial, Multiethnic Systemic Lupus Erythematosus Cohort.

OBJECTIVE: Physical activity is known to improve depressive symptoms. The present study was undertaken to examine physical inactivity as a predictor of incident depression in systemic lupus erythematosus (SLE). METHODS: Data derive from the California Lupus Epidemiology Study (CLUES), a longitudinal cohort with confirmed SLE diagnoses. Physical inactivity was assessed from a single item, "I rarely or never do any physical activities," and depressive symptoms by the 8-item Patient Health Questionnaire (PHQ-8). Analysis included those not depressed at baseline (PHQ-8 score <10) who completed an in-person baseline assessment and at least 1 follow-up visit (n = 225). Incident depression was defined as a PHQ-8 score of ≥10 at follow-up. Cox proportional hazards regression modeled incident depression over 2 years as a function of baseline physical inactivity, controlling for age, sex, race, income, comorbidities, disease activity, and disease damage. RESULTS: At baseline, the mean ± SD age of the participants was 45 ± 15 years, 88% were female, and 70% identified as non-White. Mean PHQ scores for those without depression at baseline did not differ by activity status, but those who were inactive at baseline were significantly more likely to develop depression over the next 2 years (hazard ratio [HR] 2.89 [95% confidence interval (95% CI) 1.46-5.71]). After adjusting for covariates, the association remained strong, including a >3-fold increased risk of incident depression among the sedentary group (HR 3.88 [95% CI 1.67-9.03]). CONCLUSION: In this diverse SLE cohort, a simple question about physical inactivity was highly predictive of incident depression over the subsequent 2 years. Results suggest an urgent need for approaches to reduce sedentary behavior in this high-risk population.

Cell-Associated Human Immunodeficiency Virus (HIV) Ribonucleic Acid Has a Circadian Cycle in Males With HIV on Antiretroviral Therapy.

BACKGROUND: Circadian transcription factors that regulate cell-autonomous circadian clocks can also increase human immunodeficiency virus (HIV) transcription in vitro. We aimed to determine whether circadian variation in HIV transcription exists in people with HIV (PWH) on antiretroviral therapy (ART). METHODS: We performed a prospective observational study of male PWH on ART, sampling blood every 4 hours for 24 hours. Using quantitative polymerase chain reaction, we quantified expression of circadian-associated genes, HIV deoxyribonucleic acid (DNA), and cell-associated unspliced (CA-US) ribonucleic acid (RNA) in peripheral blood CD4+ T cells. Plasma sex hormones were quantified alongside plasma and salivary cortisol. The primary outcome was to identify temporal variations in CA-US HIV RNA using a linear mixed-effect regression framework and maximum likelihood estimation. RESULTS: Salivary and plasma cortisol, and circadian genes including Clock, Bmal1, and Per3, varied with a circadian rhythm. Cell-associated unspliced HIV RNA and the ratio of CA-US HIV RNA/DNA in CD4+ T cells also demonstrated circadian variations, with no variation in HIV DNA. Circulating estradiol was highly predictive of CA-US HIV RNA variation in vivo. CONCLUSIONS: Cell-associated unspliced HIV RNA in PWH on ART varies temporally with a circadian rhythm. These findings have implications for the design of clinical trials and biomarkers to assess HIV cure interventions.

Negative Mood and Food Craving Strength Among Women with Overweight: Implications for Targeting Mechanisms Using a Mindful Eating Intervention.

OBJECTIVES: When experiencing negative mood, people often eat to improve their mood. A learned association between mood and eating may cultivate frequent food cravings, detracting from health goals. Training in mindful eating may target this cycle of emotion-craving-eating by teaching individuals to manage urges when experiencing negative mood. We examined the impact of a mobile mindful eating intervention on the link between negative mood and food cravings among overweight women. METHODS: In a single-arm trial, participants (n = 64, M age = 46.1 years, M BMI = 31.5 kg/m2) completed ecological momentary assessments of negative mood and food cravings 3 times/day for 3 days pre- and post-intervention, as well as 1-month post-intervention. Using multilevel linear regression, we compared associations between negative mood and food craving strength at pre- vs. post-intervention (model 1) and post-intervention vs. 1-month follow-up (model 2). RESULTS: In model 1, negative mood interacted with time point (ß = - .20, SE = .09, p = .02, 95% CI [- .38, - .03]) to predict craving strength, indicating that the within-person association between negative mood and craving strength was significantly weaker at post-intervention (ß = 0.18) relative to pre-intervention (ß = 0.38). In model 2, negative mood did not interact with time point to predict craving strength (ß = .13, SE = .09, p = .10, 95% CI - .03, .31]); the association did not significantly differ between post-intervention and 1-month follow-up. CONCLUSIONS: Training in mindful eating weakened the mood-craving association from pre- to post-intervention. The weakened association remained at follow-up. Our findings highlight the mood-craving link as a target-worthy mechanism of mindful eating that should be assessed in clinical trials. TRIAL REGISTRATION: NCT02694731. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s12671-021-01760-z.