Changes in hair cortisol in a New Zealand community sample during the Covid-19 pandemic.

Background: Evidence suggests that countries with higher Covid-19 infection rates experienced poorer mental health. This study examined whether hair cortisol reduced over time in New Zealand, a country that managed to eliminate the virus in the first year of the pandemic due to an initial strict lockdown. Methods: A longitudinal cohort study assessed self-reported stress, anxiety and depression and collected hair samples that were analyzed for cortisol, across two waves in 2020. The sample consisted of 44 adults who each returned two 3 cm hair samples and completed self-reports. Hair cortisol was assessed per centimetre. Results: Hair cortisol reduced over time (F (5, 99.126) = 10.15, p < .001, partial eta squared = 0.19), as did anxiety and depression. Higher hair cortisol was significantly associated with more negative life events reported at wave two (r = 0.30 segment 1, r = 0.34 segment 2, p < .05), but not anxiety or depression. Conclusions: Strict virus control measures may not only reduce infection rates, but also reduce psychological distress, and hair cortisol over time.

Development of a Virtual Human for Supporting Tobacco Cessation During the COVID-19 Pandemic.

People who consume tobacco are at greater risk of developing severe COVID-19. Unfortunately, the COVID-19 pandemic reduced the accessibility of tobacco cessation services as a result of necessary social restrictions. Innovations were urgently needed to support tobacco cessation during the pandemic. Virtual humans are artificially intelligent computer agents with a realistic, humanlike appearance. Virtual humans could be a scalable and engaging way to deliver tobacco cessation information and support. Florence, a virtual human health worker, was developed in collaboration with the World Health Organization to remotely support people toward tobacco cessation during the COVID-19 pandemic. Florence delivers evidence-based information, assists with making quit plans, and directs people to World Health Organization-recommended cessation services in their country. In this viewpoint, we describe the process of developing Florence. The development was influenced by a formative evaluation of data from 115 early users of Florence from 49 countries. In general, Florence was positively perceived; however, changes were requested to aspects of her design and content. In addition, areas for new content were identified (eg, for nonsmoker support persons). Virtual health workers could expand the reach of evidence-based tobacco cessation information and personalized support. However, as they are a new innovation in tobacco cessation, their efficacy, feasibility, and acceptability in this application needs to be evaluated, including in diverse populations.

It's a helluva journey: a qualitative study of patient and clinician experiences of nausea and vomiting syndromes.

Background: Chronic gastroduodenal disorders including, chronic nausea and vomiting syndrome, gastroparesis, and functional dyspepsia, are challenging to diagnose and manage. The diagnostic and treatment pathways for these disorders are complex, costly and overlap substantially; however, experiences of this pathway have not been thoroughly investigated. This study therefore aimed to explore clinician and patient perspectives on the current clinical pathway. Methods: Semi-structured interviews were conducted between June 2020 and June 2022 with 11 patients with chronic nausea and vomiting syndrome alone (based on Rome IV criteria) and nine gastroenterologists who treat these conditions. Interviews were recorded, transcribed, and thematically analyzed using a reflexive, iterative, inductive approach. Five key patient themes were identified: (1) the impacts of their chronic gastroduodenal symptoms, (2) the complexity of the clinical journey, (3) their interactions with healthcare providers, (4) the need for advocacy, and (5) their experience of treatments. Five key clinician themes were also identified: (1) these conditions were seen as clinically complex, (2) there is an uncertain and variable clinical pathway, (3) the nuance of investigations, (4) these conditions were difficult to therapeutically manage, and (5) there are barriers to developing a therapeutic relationship. Conclusion: Findings indicate that both patients and clinicians are dissatisfied with the current clinical care pathways for nausea and vomiting syndromes. Recommendations included the development of more clinically relevant and discriminant tests, standardization of the diagnostic journey, and the adoption of a multidisciplinary approach to diagnosis and treatment.

Enhancing social connectedness with companion robots using AI.

Companion robots with AI may usher a new science of social connectedness that requires the development of ethical frameworks.

The Impact of Virtual Humans on Psychosomatic Medicine.

OBJECTIVE: Virtual humans are likely to enhance the delivery of health care over the next decade. Virtual humans are artificially intelligent computer agents with hyperrealistic, autonomously animated embodiments based on affective computing techniques. Virtual humans could be programmed to screen for health conditions, triage patients, and deliver health interventions, with appropriate facial expressions and body gestures, functioning as a supplement to human care. This article provides a perspective on the implications of virtual humans for behavioral and psychosomatic medicine, and health psychology. METHODS: A narrative review was conducted to integrate observations and findings from research on virtual humans from 91 articles in this multidisciplinary area. RESULTS: Virtual humans can be used for multimodal behavior analysis of patients, individualized tailoring of interventions, and detection of changes of psychological and behavioral measures over time. Virtual humans can also pair the scalability of a website with the interactivity and relational skills of a human tele-therapist. Research is beginning to show the acceptability, feasibility, and preliminary effectiveness of virtual humans in a range of populations. Virtual humans can be easily tailored in terms of their appearance, voice, and language, and may be adapted to fit the characteristics of a patient population or hard-to-reach groups. If co-designed with these communities, virtual humans may help to promote health care engagement and improve outcomes. CONCLUSIONS: Virtual humans can engage and motivate patients, and deliver personalized psychological and behavioral health care. This article provides an overview of the potential impact of virtual humans on psychosomatic medicine and discusses ethical implications.

Comparing the Feasibility and Acceptability of a Virtual Human, Teletherapy, and an e-Manual in Delivering a Stress Management Intervention to Distressed Adult Women: Pilot Study.

BACKGROUND: Virtual humans (VHs), teletherapy, and self-guided e-manuals may increase the accessibility of psychological interventions. However, there is limited research on how these technologies compare in terms of their feasibility and acceptability in delivering stress management interventions. OBJECTIVE: We conducted a preliminary comparison of the feasibility and acceptability of a VH, teletherapy, and an e-manual at delivering 1 module of cognitive behavioral stress management (CBSM) to evaluate the feasibility of the trial methodology in preparation for a future randomized controlled trial (RCT). METHODS: A pilot RCT was conducted with a parallel, mixed design. A community sample of distressed adult women were randomly allocated to receive 1 session of CBSM involving training in cognitive and behavioral techniques by a VH, teletherapy, or an e-manual plus homework over 2 weeks. Data were collected on the feasibility of the intervention technologies (technical support and homework access), trial methods (recruitment methods, questionnaire completion, and methodological difficulty observations), intervention acceptability (intervention completion, self-report ratings, therapist rapport, and trust), and acceptability of the trial methods (self-report ratings and observations). Qualitative data in the form of written responses to open-ended questions were collected to enrich and clarify the findings on intervention acceptability. RESULTS: Overall, 38 participants' data were analyzed. A VH (n=12), teletherapy (n=12), and an e-manual (n=14) were found to be feasible and acceptable for delivering 1 session of CBSM to distressed adult women based on the overall quantitative and qualitative findings. Technical difficulties were minimal and did not affect intervention completion, and no significant differences were found between the conditions (P=.31). The methodology was feasible, although improvements were identified for a future trial. All conditions achieved good satisfaction and perceived engagement ratings, and no significant group differences were found (P>.40). Participants had similar willingness to recommend each technology (P=.64). There was a nonsignificant trend toward participants feeling more open to using the VH and e-manual from home than teletherapy (P=.10). Rapport (P<.001) and trust (P=.048) were greater with the human teletherapist than with the VH. The qualitative findings enriched the quantitative results by revealing the unique strengths and limitations of each technology that may have influenced acceptability. CONCLUSIONS: A VH, teletherapy, and a self-guided e-manual were found to be feasible and acceptable methods of delivering 1 session of a stress management intervention to a community sample of adult women. The technologies were found to have unique strengths and limitations that may affect which works best for whom and in what circumstances. Future research should test additional CBSM modules for delivery by these technologies and conduct a larger RCT to compare their feasibility, acceptability, and effectiveness when delivering a longer home-based stress management program. TRIAL REGISTRATION: Australian New Zealand Clinical Trials Registry ACTRN12620000859987; https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=380114&isReview=true.

Increases in stress hormone levels in a UK population during the COVID-19 pandemic: A prospective cohort study.

BACKGROUND: Research suggests that psychological factors may influence vulnerability to SARS-CoV-2 infection, although the mechanisms are unclear. PURPOSE: We examined whether the hypothalamic-pituitary-adrenal axis may be a possible mechanism, by measuring the relationship between indices of psychological distress and cortisone in hair (hairE) in a UK cohort during the COVID-19 pandemic. METHODS: Participants (N = 827) provided two 3 cm hair samples over a 6-month period between April-September 2020. Samples reflected hairE in the 3 months prior to the collection date. RESULTS: HairE in the first samples (T1: commenced April 2020) did not differ significantly from pre-pandemic population norms. However, hairE in the second samples (T2: commenced July 2020) were significantly higher than T1 and pre-pandemic population norms, with a 23% increase between T1 and T2. Linear regressions, controlling for age and gender, demonstrated that at both timepoints, hairE levels were greatest in people with a history of mental health difficulties. In addition, stress reported at T1 predicted greater hairE at T2 and a greater change in hairE between T1 and T2. CONCLUSIONS: These findings demonstrate that during the COVID-19 pandemic hairE was substantially elevated across a large community cohort, with greatest levels in those with a history of mental health difficulties and greatest changes in those reporting greatest levels of stress early in the pandemic. Further research is required with verified SARS-CoV-2 outcomes to determine whether the HPA axis is among the mechanisms by which a history of mental health difficulties and stress influence SARS-CoV-2 outcomes.

Illness perceptions and diabetes self-care behaviours in Maori and New Zealand Europeans with type 2 diabetes mellitus: a cross-sectional study.

AIMS: This study investigated differences in illness perceptions and self-care behaviours between Maori and New Zealand (NZ) Europeans with type 2 diabetes mellitus (T2DM), and how these perceptions were related to clinical outcomes. METHODS: Participants were 85 Maori and 85 NZ European adults, recruited from outpatient clinics, who completed a cross-sectional questionnaire on illness perceptions and self-care behaviours. Clinical data, including HbA1c, retinopathy, neuropathy and nephropathy, were collected from medical records. RESULTS: Compared to NZ Europeans, Maori had higher HbA1c, lower adherence to medication and a healthy diet, and were more likely to smoke. Maori reported greater perceived consequences of diabetes on their lives, and more severe symptoms than NZ Europeans did. Maori were more likely to attribute T2DM to food and drink, whereas NZ Europeans were more likely to attribute T2DM to weight. Perceiving that treatment could help control diabetes was associated with lower HbA1c and higher medication adherence in Maori and NZ Europeans independently. CONCLUSIONS: Maori experienced and perceived worse T2DM outcomes than NZ Europeans did. Research is needed to develop and test clinical interventions to address these inequities and improve outcomes, possibly by asking patients about their perceptions, providing tailored and culturally appropriate education, and discussing patients' concerns.

Cultural Differences in Psychological Distress and Illness Perceptions Amongst People Living With Cardiac Inherited Diseases.

Cardiac Inherited diseases (CID) and minority ethnic status are both associated with anxiety and depression. This study aimed to investigate differences in patient experiences of CID between ethnic groups in New Zealand (NZ) in order to inform psychosocial interventions and promote health equity. A cross-sectional survey was administered to a NZ CID database. One-hundred and fifty-two (152) NZ Europeans, 19 Maori, and two Pasifika participated. Maori and Pasifika peoples reported significantly greater symptom perceptions, shorter timeline perceptions, higher perceived risk of severe symptoms, and were less likely to attribute the cause of their CID to hereditary factors than NZ Europeans. Maori and Pasifika also reported more anxiety and distress, although both groups reported beneficial medication perceptions and high medication adherence. Differences could not be attributed to clinical or other demographic variables. The use of screening tools and development of culturally appropriate interventions may help reduce both distress and health inequities.

Perspectives and experiences of Maori and Pasifika peoples living with cardiac inherited disease: a qualitative study.

OBJECTIVE: Cardiac inherited diseases can have considerable psychosocial effects, including lifestyle limitations, anxiety and depression. Most research to date on patient experiences of CID has been conducted with people from Western cultures, yet culture can shape patient views and experiences of health. The aim of this research was to explore the experiences and perspectives of Maori and Pasifika living with a cardiac inherited disease (CID). METHODS AND MEASURES: Semi-structured interviews were conducted with 14 Maori and 14 Pasifika patients living with a cardiac inherited disease and seven of their family members, using Talanoa and Kaupapa Maori methodologies. Themes from the interviews were identified using interpretative phenomenological analysis. RESULTS: Three common themes were identified as important in shaping participants' perceptions and experiences of CID: (1) difficulty in understanding the disease as separate from symptoms, (2) considering ancestors and future generations and (3) the role of spirituality and religion. CONCLUSION: This study highlights a gap between indigenous patients' understanding of CID and the western biomedical approach. Patients' understanding and treatment behaviours depend on symptoms, familial ties and spirituality. The findings support the need for transparency and culturally appropriate practices in healthcare. Considering these aspects may help to reduce health inequities for these populations.

The effect of expressive writing on wound healing: Immunohistochemistry analysis of skin tissue two weeks after punch biopsy wounding.

OBJECTIVE: To investigate the effects of expressive writing and its timing (pre or post wounding) on re-epithelialisation and leucocyte subsets within healing tissue. We previously showed expressive writing pre-wounding improved re-epithelialisation. Here we investigate cellular processes in the wound. METHODS: In a 2(writing content) x 2(writing timing) randomized trial, 122 participants were randomized to perform either expressive or control writing, before or after a 4 mm punch biopsy wound. On day 14 post-wounding, participants had a 5 mm punch biopsy of the initial wound. Seven of 16 primary registered outcomes were analysed, including re-epithelialisation from two photographs of the 4 mm biopsy (previously reported). This paper reports immunohistochemistry analysis of five primary outcomes - Langerhans cells, immune cell activation (HLA and CD3+), and macrophages (CD68 and MPO) - in the 5 mm biopsies in a random sample of 96 participants. RESULTS: Participants who performed either writing task pre-wounding had greater Langerhans cell infiltration, than those who wrote post-wounding (F(1,85) = 7.86, p = .006, ηp2 = 0.08). Those who performed expressive writing also had greater Langerhans cell infiltration than those who performed control writing (F(1,85) = 4.00, p = .049, ηp2 = 0.04). There were no significant group or interaction effects on immune cell activation or macrophages. Healed wounds on day 10 had lower levels of macrophages (z = -1.96, p = .050), and CD3+ cells (z = -1.99, p = .046) than non-healed wounds. CONCLUSION: Langerhans cells in the healing skin are affected by the timing and topic of writing. More research is needed to further explore timing and corroborate these results. CLINICAL TRIALS REGISTRATION: Registered at https://www.anzctr.org.au/ (Trial ID: ACTRN12614000971639).

Utility and Acceptability of a Brief Type 2 Diabetes Visual Animation: Mixed Methods Feasibility Study.

BACKGROUND: Visualizations of illness and treatment processes are promising interventions for changing unhelpful perceptions and improving health outcomes. However, these are yet to be tested in patients with type 2 diabetes mellitus (T2DM). OBJECTIVE: This study assesses the cross-cultural acceptability and potential effectiveness of a brief visual animation of T2DM at changing unhelpful illness and treatment perceptions and self-efficacy among patients and family members in 2 countries, New Zealand and Saudi Arabia. Health care professionals' views on visualization are also explored. METHODS: A total of 52 participants (n=39, 75% patients and family members and n=13, 25% health care professionals) were shown a 7-minute T2DM visual animation. Patients and family members completed a questionnaire on illness and treatment perceptions and self-efficacy before and immediately after the intervention and completed semistructured interviews. Health care professionals completed written open-ended questions. Means and 95% CIs are reported to estimate potential effectiveness. Inductive thematic analysis was conducted on qualitative data. RESULTS: All participants rated the visual animation as acceptable and engaging. Four main themes were identified: animation-related factors, impact of the animation, animation as an effective format for delivering information, and management-related factors. Effect sizes (ranged from 0.10 to 0.56) suggested potential effectiveness for changing illness and treatment perceptions and self-efficacy among patients and family members. CONCLUSIONS: Visualizations are acceptable and may improve the perceptions of patients' with diabetes in a short time frame. This brief visual animation has the potential to improve current T2DM education. A subsequent randomized controlled trial to investigate the effects on illness and treatment perceptions, adherence, glycemic control, and unplanned hospital admission is being prepared.

Using Facial Micro-Expressions in Combination With EEG and Physiological Signals for Emotion Recognition.

Emotions are multimodal processes that play a crucial role in our everyday lives. Recognizing emotions is becoming more critical in a wide range of application domains such as healthcare, education, human-computer interaction, Virtual Reality, intelligent agents, entertainment, and more. Facial macro-expressions or intense facial expressions are the most common modalities in recognizing emotional states. However, since facial expressions can be voluntarily controlled, they may not accurately represent emotional states. Earlier studies have shown that facial micro-expressions are more reliable than facial macro-expressions for revealing emotions. They are subtle, involuntary movements responding to external stimuli that cannot be controlled. This paper proposes using facial micro-expressions combined with brain and physiological signals to more reliably detect underlying emotions. We describe our models for measuring arousal and valence levels from a combination of facial micro-expressions, Electroencephalography (EEG) signals, galvanic skin responses (GSR), and Photoplethysmography (PPG) signals. We then evaluate our model using the DEAP dataset and our own dataset based on a subject-independent approach. Lastly, we discuss our results, the limitations of our work, and how these limitations could be overcome. We also discuss future directions for using facial micro-expressions and physiological signals in emotion recognition.

The Effects of Interacting With a Paro Robot After a Stressor in Patients With Psoriasis: A Randomised Pilot Study.

Objective: Stress can play a role in the onset and exacerbation of psoriasis. Psychological interventions to reduce stress have been shown to improve psychological and psoriasis-related outcomes. This pilot randomised study investigated the feasibility of a brief interaction with a Paro robot to reduce stress and improve skin parameters, after a stressor, in patients with psoriasis. Methods: Around 25 patients with psoriasis participated in a laboratory stress task, before being randomised to either interact with a Paro robot or sit quietly (control condition) for 30 min. Raman spectroscopy and trans-epidermal water loss were measured at baseline, after the stressor and after the intervention as indexes of acute skin changes. Psychological variables, including self-reported stress and affect, were also measured at the three time-points. Results: No statistically significant differences between the two conditions were found for any of the outcomes measured. However, effect sizes suggest significance could be possible with a larger sample size. Changes in the psychological and Raman spectroscopy outcomes across the experimental session were found, indicating the feasibility of the procedures. Conclusion: This pilot study showed that a brief interaction with a Paro robot was a feasible intervention for patients with psoriasis, but future trials should broaden the inclusion criteria to try to increase recruitment rates. Studying people who are highly stressed, depressed or who are stress-responders may increase the power of the intervention to show effects using a longer-term intervention.

Artificial intelligence for older people receiving long-term care: a systematic review of acceptability and effectiveness studies.

Artificial intelligence (AI)-enhanced interventions show promise for improving the delivery of long-term care (LTC) services for older people. However, the research field is developmental and has yet to be systematically synthesised. This systematic review aimed to synthesise the literature on the acceptability and effectiveness of AI-enhanced interventions for older people receiving LTC services. We conducted a systematic search that identified 2720 records from Embase, Ovid, Global Health, PsycINFO, and Web of Science. 31 articles were included in the review that evaluated AI-enhanced social robots (n=22), environmental sensors (n=6), and wearable sensors (n=5) with older people receiving LTC services across 15 controlled and 14 non-controlled trials in high-income countries. Risk of bias was evaluated using the RoB 2, RoB 2 CRT, and ROBINS-I tools. Overall, AI-enhanced interventions were found to be somewhat acceptable to users with mixed evidence for their effectiveness across different health outcomes. The included studies were found to have high risk of bias which reduced confidence in the results. AI-enhanced interventions are promising innovations that could reshape the landscape of LTC globally. However, more trials are required to support their widespread implementation. Pathways are needed to support more high-quality trials, including in low-income and middle-income countries.

Characteristics associated with the willingness to receive a COVID-19 vaccine and an exploration of the general public's perceptions: A mixed-methods approach.

Demographics and media discourse impact vaccine hesitancy. We explored the New Zealand public's perceptions of COVID-19 vaccines and associated media portrayal, and determined predictive factors associated with willingness to receive vaccines. A community cohort (N = 340) completed online surveys. A logistic regression explored whether characteristics predict willingness to receive the vaccine. Textual data were analysed thematically. Willingness to receive the vaccine was high (90%). Having a postgraduate degree (p =.026), trying to receive an influenza vaccine (p <.001) and fewer concerns (p <.001) predicted willingness. Health keyworkers (p <.001) were less willing. Participants wanted the vaccine for protection and returning to normality. Reasons against receiving vaccines regarded safety, efficacy, and an unclear roll-out plan. The media was reported to generally provide good/positive coverage, but also engage in unbalanced reporting and spreading misinformation. Education strategies should include collaborations between media and scientists and focus on distributing easy-to-access information. Health keyworkers should be reassured of testing/safety.

The prevalence, incidence, prognosis and risk factors for symptoms of depression and anxiety in a UK cohort during the COVID-19 pandemic.

BACKGROUND: The COVID-19 pandemic has had profound consequences for population mental health. However, it is less clear for whom these effects are sustained. AIMS: To investigate the prevalence, incidence, prognosis and risk factors for symptoms of depression and anxiety in a UK cohort over three distinct periods in the pandemic in 2020. METHOD: An online survey was completed by a UK community cohort at three points (n = 3097 at baseline, n = 878 completed all surveys): April (baseline), July to September (time point 2) and November to December (time point 3). Participants completed validated measures of depression and anxiety on each occasion, and we prospectively explored the role of sociodemographic and psychological factors (loneliness, positive mood and perceived risk of and worry about COVID-19) as risk factors. RESULTS: Depression (Patient Health Questionnaire-9 means: baseline, 7.69; time point 2, 5.53; time point 3, 6.06) and anxiety scores (Generalised Anxiety Disorder-7 means: baseline, 6.59; time point 2, 4.60; time point 3, 4.98) were considerably greater than pre-pandemic population norms at all time points. Women reported greater depression and anxiety symptoms than men. Younger age, history of mental health disorder, more COVID-19-related negative life events, greater loneliness and lower positive mood at baseline were all significant predictors of poorer mental health at time point 3. CONCLUSIONS: The negative impact of the COVID-19 pandemic on mental health has persisted to some degree. Younger people and individuals with prior mental health disorders are at greatest risk. Easing of restrictions and resumption of social interaction could mitigate the risk factors of loneliness and positive mood.

Investigating the Usability, Efficacy and Accuracy of a Medication Entering Software System for a Healthcare Robot.

Purpose: This research aimed to evaluate medication software for a healthcare robot. Study I compared two software versions (RoboGen and RoboGen2) for system usability, speed and accuracy of medication entry; Study II evaluated system usability and community pharmacists' views of RoboGen2. Methods: Study I had a within-subjects experimental design and recruited 40 Health Sciences students to enter different, comparable sets of prescriptions into the two systems, in randomized order, within a limit of 15 min. Screen activity was recorded to observe prescription errors. Study II had a cross-sectional observational design and recruited 20 community pharmacists using convenience sampling. Pharmacists entered three prescriptions using RoboGen2. Participants in both studies completed the System Usability Scale (SUS) following each task. Study I participants completed a questionnaire on system preference, and Study II participants a semi-structured interview. Results: Study I participants preferred Robogen2 (p < 0.001) due to its sleek and modern layout, good flow, ease of use, and intuitive design. SUS scores [t (40) = -3.40, p = 0.002] and speed of medication entry favored Robogen2 (t = 3.65, p < 0.001). No significance was found in accuracy (t = 1.12, p = 0.27). In study 2, pharmacists rated the usability of RoboGen2 below average. Themes from interviews were navigation and streamlining the system, ease of use, and integration with pharmacy software systems. Conclusion: Adding safety features and better aesthetics can improve the usability and safety of a medication prescription system. Streamlining workflow and pre-populating data can increase speed of prescription entry without compromising patient safety. However, a better approach is integration with pre-existing pharmacy systems to reduce workload while incorporating safety features built into existing dispensing systems.

Standardized system and App for continuous patient symptom logging in gastroduodenal disorders: Design, implementation, and validation.

BACKGROUND: Functional gastroduodenal disorders include functional dyspepsia, chronic nausea and vomiting syndromes, and gastroparesis. These disorders are common, but their overlapping symptomatology poses challenges to diagnosis, research, and therapy. This study aimed to introduce and validate a standardized patient symptom-logging system and App to aid in the accurate reporting of gastroduodenal symptoms for clinical and research applications. METHODS: The system was implemented in an iOS App including pictographic symptom illustrations, and two validation studies were conducted. To assess convergent and concurrent validity, a diverse cohort with chronic gastroduodenal symptoms undertook App-based symptom logging for 4 h after a test meal. Individual and total post-prandial symptom scores were averaged and correlated against two previously validated instruments: PAGI-SYM (for convergent validity) and PAGI-QOL (for concurrent validity). To assess face and content validity, semi-structured qualitative interviews were conducted with patients. KEY RESULTS: App-based symptom reporting demonstrated robust convergent validity with PAGI-SYM measures of nausea (rS  =0.68), early satiation (rS  =0.55), bloating (rS  =0.48), heartburn (rS  =0.47), upper gut pain (rS  =0.40), and excessive fullness (rS  =0.40); all p < 0.001 (n = 79). The total App-reported Gastric Symptom Burden Score correlated positively with PAGI-SYM (rS  =0.56; convergent validity; p < 0.001), and negatively with PAGI-QOL (rS  = -0.34; concurrent validity; p = 0.002). Interviews demonstrated that the pictograms had adequate face and content validity. CONCLUSIONS AND INFERENCES: The continuous patient symptom-logging App demonstrated robust convergent, concurrent, face, and content validity when used within a 4-h post-prandial test protocol. The App will enable standardized symptom reporting and is anticipated to provide utility in both research and clinical practice.

Psychological Predictors of Self-reported COVID-19 Outcomes: Results From a Prospective Cohort Study.

BACKGROUND: Previous research has shown that psychological factors, such as stress and social support, are associated with greater susceptibility to viral respiratory illnesses and more severe symptoms. During the COVID-19 pandemic there has been a well-documented deterioration in psychological well-being and increased social isolation. This raises questions as to whether those experiencing psychological adversity during the pandemic are more at risk of contracting and/or experiencing COVID-19 symptoms. PURPOSE: To examine the relationship between psychological factors and the risk of COVID-19 self-reported infection and the symptomatic experience of SARS-CoV-2 (indicated by the number and severity of symptoms). METHODS: As part of a longitudinal prospective observational cohort study, 1,087 adults completed validated measures of psychological well-being during April 2020 and self-reported incidence of COVID-19 infection and symptom experience across the pandemic through to December 2020. Regression models were used to explore these relationships controlling for demographic and occupational factors. RESULTS: Greater psychological distress during the early phase of the pandemic was significantly associated with subsequent self-reported SARS-CoV-2 infection as well as the experience of a greater number and more severe symptoms. CONCLUSIONS: COVID-19 infection and symptoms may be more common among those experiencing elevated psychological distress. Further research to elucidate the mechanisms underlying these associations is needed.