Self-reported Health Measures Research Articles

Ambulatory assessment to predict problem anger in trauma-affected adults: Study protocol.

Problem anger is common after experiencing a traumatic event. Current evidence-driven treatment options are limited, and problem anger negatively affects an individual's capacity to engage with traditional psychological treatments. Smartphone interventions hold significant potential in mental health because of their ability to deliver low-intensity, precision support for individuals at the time and place they need it most. While wearable technology has the capacity to augment smartphone-delivered interventions, there is a dearth of evidence relating to several key areas, including feasibility of compliance in mental health populations; validity of in vivo anger assessment; ability to predict future mood states; and delivery of timely and appropriate interventions. This protocol describes a cohort study that leverages 10 days of ambulatory assessment in the form of ecological momentary assessment and a wearable. Approximately 100 adults with problem anger will complete four-hourly in vivo mobile application-delivered micro-surveys on anger intensity, frequency, and verbal and physical aggression, as well as other self-reported mental health and wellbeing measures. Concurrently, a commercial wearable device will continuously record indicators of physiological arousal. The aims are to test the feasibility and acceptability of ambulatory assessment in a trauma-affected population, and determine whether a continuously measured physiological indicator of stress predicts self-reported anger intensity. This study will contribute new data around the ability of physiological indicators to predict mood state in individuals with psychopathology. This will have important implications for the design of smartphone-delivered interventions for trauma-affected individuals, as well as for the digital mental health field more broadly.

AWARENESS OF AGE-RELATED GAINS AND LOSSES AND THEIR ASSOCIATIONS WITH PHYSICAL AND COGNITIVE FUNCTION

Abstract Awareness of age-related change (AARC) refers to people’s recognition of how aging has affected their performance, behavior, and ways of experiencing life. Sometimes these age-related changes are perceived as losses (AARC-Losses), such as when people notice declines in their health. However, other times these age-related changes are perceived as gains (AARC-Gains), such as when people notice they have developed a better sense of what is important to them. Past research has shown that higher AARC-Losses (and to a lesser extent lower AARC-Gains) are associated with poorer self-rated health. However, no research has yet examined whether AARC also relates to an objective performance-based measure of health. To address this, we examined the cross-sectional relationships between AARC-Losses and AARC-Gains with gait speed (i.e., a measure of physical function) in 164 community-dwelling older adults. Participants in this study also completed health-related questionnaires and the NIH Toolbox Cognition Battery. Results showed that AARC-Losses were most strongly predicted by depression levels, but higher AARC-Losses were also predicted by slower gait speeds. A different pattern emerged for AARC-Gains. After controlling for demographic factors, depression, and other self-reported measures of health, we found that higher AARC-Gains were predicted by poorer cognition and slower gait speed. The counterintuitive relationship between AARC-Gains and objective cognition has previously been reported in the literature. However, this study is the first to document that AARC-Gains are also associated with poorer performance on an objective measure of physical function. We discuss features of the AARC questionnaire that may lead to these paradoxical effects.

FACTORS IMPACTING EMERGENCY PREPAREDNESS AMONG COMMUNITY-DWELLING OLDER ADULTS

Abstract Natural and manmade emergencies have become more frequent over the past 20 years and will continue to pose serious risks to public health and safety. Older adults are more adversely affected by—and less prepared for—emergencies than younger adults. However, little is known about the risk factors impeding emergency preparedness among older adults. This study uses the ecological systems approach to explore factors associated with emergency preparedness and how those factors influence adults 60 and older. The study analyzed cross-sectional data taken from 690 community-dwelling older adults who participated in Wave 5 of the National Poll on Healthy Aging. The sample was broken down into the following two groups for comparison: individuals aged 60–69 (n = 383) and individuals 70 or above (n = 307). The self-reported measures of sociodemographic characteristics, physical health, mental health, and previous experience of a disaster were utilized via regression analysis to predict emergency preparedness. Emergency preparedness was assessed using X dichotomous questions (60-69: M = X; 70+: M = X). The results revealed that living alone and having a Hispanic background were negatively associated with emergency preparedness among those aged 60–69, while mental health status was positively associated with emergency preparedness among those aged 70+. Previous experience of a disaster positively impacted emergency preparedness among the sample. Implications for policy and practice focus on shifting the perspective of the disproportional risks for older adults around emergencies to one that values and supports older adults’ strengths and insights.

NEIGHBORHOOD QUALITY AS IT RELATES TO HEALTH AND WELL-BEING IN OLDER AFRICAN AMERICANS

Abstract With the burgeoning older adult population, there will be an increased demand for neighborhood environments that are conducive to successful aging. For example, the need for affordable and usable housing developments for older adults that provide greater opportunities for social engagement, social services, and convenience to neighborhood resources (e.g., grocery stores, healthcare) will continue to rise. Several initiatives have sought to develop age-friendly neighborhoods, which focused on improving accessibility and affordability of community resources. However, limited effort has focused on the health and cognitive effects of neighborhood-level socioeconomic disadvantage, with respect to neighborhood income, education, employment, and housing quality. This symposium will include presentations from two studies that explored how neighborhood disadvantage (measured by the Area Deprivation Index) relates to health and cognition. The objectives of the proposed symposium are the following: (1) discuss how neighborhood disadvantage relates to subjective and objective measures of physical health; and (2) discuss how neighborhood disadvantage relates to cognitive functioning. Allan and colleagues explored the association between neighborhood disadvantage as it relates to changes in self-reported health and objective measures (i.e., blood pressure) of health among older Black adults. Wright and colleagues explored the association between neighborhood disadvantage and measures of subclinical cardiovascular disease in older Black and White adults. Aiken-Morgan and colleagues examined associations between neighborhood disadvantage and cognitive functioning among Black older adults. Lastly, McCain and colleagues explored associations between neighborhood disadvantage and mobility among Black older adults.

Associations between perceptions of relationship quality and markers of inflammation and insulin resistance among couples coping with cancer.

Couples' health and health behaviors are intertwined, where the health of one partner can influence the health of the other but the biologic underpinnings are not known. We examined the associations between relational health and markers of inflammation and insulin resistance in couples coping with breast or prostate cancer. Participants (90 cancer survivor-spouse dyads) completed self-report measures of relational health including Dyadic Adjustment Scale-7 (relationship quality), Dyadic Coping Inventory (communication), and shared physical activity, as well as Community Health Activities Model Program for Seniors (individual physical activity). Inflammation (C-reactive protein (CRP)) and homeostasis model assessment of insulin resistance (HOMA-IR) were measured in serum samples. Structural equation modeling including demographic and clinical covariate controls was used to estimate separate actor and partner effects of relationship quality, communication, and physical activity on CRP and HOMA-IR. Participants were aged 63.1 ± 10.4years with an average relationship duration of 30.0 ± 1.1years. Higher survivor perceived relationship quality was associated with lower spouse CRP (b = - 0.07; 95%CI: - 0.13, - 0.01), whereas higher spouse perceived relationship quality was associated with lower survivor HOMA-IR (b = - 0.07; 95%CI: - 0.13, - 0.03). There were no other significant actor or partner effects observed. Among cancer survivor-spouse dyads, how one member of the couple perceives the quality of the relationship impacts disease biomarkers in the other, providing preliminary evidence for biological linkage between relational health and chronic disease risk. Relationship quality may positively influence biomarkers of inflammation and insulin resistance in couples coping with breast and prostate cancer. Dyadic approaches to optimize survivorship health may be warranted. ClinicalTrials.gov NCT03630354, 08/14/2018; Open Science Framework ( https://bit.ly/3S4rUtJ ).

Screen time and adolescents' mental health before and after the COVID-19 lockdown in Switzerland: A natural experiment.

During the COVID-19 lockdown in 2020, adolescents' mental health was largely undermined. A general increment in screen time was reported. However, the long-term effects of the latter on adolescents' mental health are still little explored. In the present natural experiment, we investigated these effects using longitudinal data collected before and after the first lockdown in Switzerland. Data come from 674 Swiss adolescents (56.7% females, Mage = 14.45, SDage = 0.50) during Spring 2019 (T1) and Autumn 2020 (T2) as part of the longitudinal MEDIATICINO study. Self-reported mental health measures included somatic symptoms, inattention, anxiety, irritability, anger, sleep problems, obsessive-compulsive symptoms, loneliness, and depression. Measures for screen-media activities included time spent on the Internet, smartphones, social media, video gaming, instant messaging, and television viewing. They were all assessed at T1 and T2. Paired-sample t-tests with Bonferroni's correction showed that most mental health problems increased over time with an overall medium effect size (Hedge's g = 0.337). In particular, medium effect sizes were found for anxiety, depression, and inattention; small-to-medium effect sizes were reported for loneliness, sleep problems, and obsessive-compulsive symptoms; and a small effect size was found for somatic symptoms. Screen-media activities increased, with the exception of television viewing and video gaming. The results of the hierarchical regression analyses showed that, controlling for covariates, increased time spent on social media - calculated as the difference between T2 and T1 - was the only screen-media activity significantly associated with worse mental health at T2 (β = 0.112, p = 0.016). More time spent in structured media activities like television viewing diminished levels of inattention (β = -0.091, p = 0.021) and anxiety (β = -0.093, p = 0.014). Among covariates, being female, experiencing two or more life events, having mental health problems at T1, and using screens for homeschooling negatively influenced mental health at T2. These results align with literature indicating a small but negative effect of social media time on mental health. Underlying mechanisms are manifold, including increased exposure to COVID-19 news, heightened fear of missing out, social comparison, and time-displaced for activities such as physical activity and green time. However, in line with the structured days hypothesis, getting involved in media-structured activities like television viewing might protect against mental health symptoms.

Return to work and everyday life following out-of-hospital cardiac arrest. Results from the national survey, DenHeart

BackgroundWith increasing survival rates following out-of-hospital cardiac arrest (OHCA), knowledge on return to everyday life, including return to work, should be getting increasing attention. ObjectivesTo i) describe patterns of labor market affiliation up to 12 months after discharge among a workforce population and to, ii) investigate the association between clinical and sociodemographic characteristics, self-reported health at discharge and a composite endpoint of prolonged sick leave and leaving the workforce after 3 and 12 months. MethodsData from the national survey, DenHeart, were used, including measures of self-reported health: HeartQoL and the Hospital Anxiety and Depression Scale (HADS), combined with register-based follow-up. ResultsDuring the study period, n = 572 OHCA patients were discharged from five Heart centres, n = 184 were part of the workforce. At discharge, 60% were on paid sick leave, and 20% at 12 months. Age (per one year older) increased the odds of experiencing the composite endpoint at 3 and 12 months (3 months: OR 1.06 95%CI 1.03–1.10, 12 months: OR 1.06 95%CI 1.03–1.09) among the total population (n = 184). Self-reported health at discharge was not associated with the endpoint. ConclusionOne-fifth of the OHCA survivors at a working-age prior to the OHCA was still on paid sick leave after 12 months. Increasing age was the only characteristic associated with a composite endpoint of prolonged sick leave or leaving the workforce at 3 and 12 months after discharge.With increasing survival rates, healthcare professionals need to support the population in resuming daily life, including returning to the workforce, when relevant.

Psychometric Properties of the Brazilian Version of GOHAI among Community-Dwelling Elderly People.

This study assessed the psychometric properties of the Brazilian version of the Geriatric Oral Health Assessment Index (GOHAI). A representative sample of 613 community-dwelling elderly people aged from 65 to 74 years was selected. Sociodemographic data, GOHAI and self-perceived oral health measures were collected. Dental clinical measures were obtained through oral examinations. The dimensional structure and adequacy of components were assessed using Confirmatory Factor Analysis (CFA), inter-item correlations and item-scale correlations. Reliability was evaluated by internal consistency and Intraclass Correlation Coefficients. Correlations between GOHAI scores and self-reported oral health measures were conducted to assess convergent validity. The relationship between dental clinical measures and GOHAI was tested through Poisson Regression to examine discriminant validity. The link between GOHAI items and dimensions was supported by CFA. Item 12 showed a poor factor loading. The inter-item correlations varied from 0.047 to 0.442, and item-scale correlations ranged from 0.305 to 0.612. Cronbach's alpha was 0.704. The test-retest correlation for GOHAI was 0.882. GOHAI scores were correlated by self-rated oral health measures. Poor dental clinical measures were associated with GOHAI. The Brazilian version of GOHAI showed adequate psychometric properties. However, the weak dimensional structure of GOHAI suggests the need to perform cross-cultural adaptation of GOHAI for Brazilian elderly people.

Association between oral health markers and decline in muscle strength and physical performance in later life: longitudinal analyses of two prospective cohorts from the UK and the USA

Poor oral health could be associated with changes in musculoskeletal health over time. This aim of this study was to investigate the longitudinal relationship between oral health and decline in physical function in later life. We did a prospective analysis of two cohorts of older adults (aged 70 years or older) including men from the British Regional Heart Study (BRHS; n=612), and men and women from the Health, Aging and Body Composition (Health ABC) Study (n=1572), followed up for about 8 years. Data were available for clinical or self-reported oral health measures, muscle (grip) strength, and physical performance (chair stand and gait speed). ANCOVA models were used to assess the association between oral health and follow-up physical function scores. Multivariate logistic regression models were used to examine the associations between oral health and decline in physical function over the follow-up period. In the BRHS, changes in oral health and physical function were also assessed. All models were adjusted for relevant sociodemographic, behavioural, and health-related factors. In the BRHS, complete tooth loss and difficulty eating were associated with weaker grip strength at follow-up, and periodontal status was associated with decline in gait speed. In the Health ABC Study, complete tooth loss, poor self-rated oral health, and the presence of one oral health problem were associated with slower gait speed at follow-up. In both studies, dry mouth was associated with declines in physical function. In the BRHS, deterioration of dentition (tooth loss) over the follow-up period was associated with decline in chair stand speed (adjusted odds ratio 2·34 [95% CI 1·20-4·46]), as was deterioration in difficulty eating (2·41 [1·04-5·60]). Oral health problems are associated with poorer physical function and greater decline in physical function in older adults, and could be an indicator of individuals at risk of reduced physical capacity and subsequent frailty and disability in later life. The Dunhill Medical Trust and the US National Institutes of Health-National Institute of Dental and Craniofacial Research.

General Health Statuses as Indicators of Digital Inequality and the Moderating Effects of Age and Education: Cross-sectional Study.

Considerable effort has been directed to offering online health information and services aimed at the general population. Such efforts potentially support people to obtain improved health outcomes. However, when health information and services are moved online, issues of equality need to be considered. In this study, we focus on the general population and take as a point of departure how health statuses (physical functioning, social functioning, mental health, perceived health, and physical pain) are linked to internet access (spanning internet attitude, material access, internet skills, and health-related internet use). This study aims to reveal to what extent (1) internet access is important for online health outcomes, (2) different health statuses are important for obtaining internet access and outcomes, and (3) age and education moderate the contribution of health statuses to internet access. A sequence of 2 online surveys drawing upon a sample collected in the Netherlands was used, and a data set with 1730 respondents over the age of 18 years was obtained. Internet attitude contributes positively to material access, internet skills, and health outcomes and negatively to health-related internet use. Material access contributes positively to internet skills and health-related internet use and outcomes. Internet skills contribute positively to health-related internet use and outcomes. Physical functioning contributes positively to internet attitude, material access, and internet skills but negatively to internet health use. Social functioning contributes negatively to internet attitude and positively to internet skills and internet health use. Mental health contributes positively to internet attitude and negatively to material access and internet health use. Perceived health positively contributes to material access, internet skills, and internet health use. Physical pain contributes positively to internet attitude and material access and indirectly to internet skills and internet health use. Finally, most contributions are moderated by age (<65 and ≥65 years) and education (low and high). To make online health care attainable for the general population, interventions should focus simultaneously on internet attitude, material access, internet skills, and internet health use. However, issues of equality need to be considered. In this respect, digital inequality research benefits from considering health as a predictor of all 4 access stages. Furthermore, studies should go beyond single self-reported measures of health. Physical functioning, social functioning, mental health, perceived health, and physical pain all show unique contributions to the different internet access stages. Further complicating this issue, online health-related interventions for people with different health statuses should also consider age and the educational level of attainment.

Predictors and Consequences of Not Seeking Healthcare during the COVID-19 Pandemic: Findings from the HEAF Cohort.

The COVID-19 pandemic resulted in a dramatic reduction of routine healthcare availability in many European countries. Among a cohort of English middle-aged adults, we explored pre-pandemic and pandemic factors associated with not seeking healthcare during lockdown, and their effect on subsequent self-reported health measures. Longitudinal data from the Health and Employment After Fifty (HEAF) cohort were used. Pre-pandemic data came from the 5th annual follow-up (2019), when participants were aged 56–71 years, and pandemic data were collected by e-survey in February 2021 and November 2021. Response rates of the two e-surveys were 53% and 79%, respectively. Pre-pandemic predictors of not seeking healthcare were: female gender, higher BMI, higher comorbidity, poorer self-rated health and depression; non-care seekers were also more likely to report that family or friends were affected by COVID-19 and to have been advised to shield. Not seeking healthcare during lockdown was associated with a higher risk of reporting worsening of physical, but not mental, health during the later phase of the pandemic. In this cohort, those with generally poorer health were disproportionately more likely to not seek healthcare during lockdown, which may potentially exacerbate pre-existing inequalities and lead to longer-term health consequences.

Online, low-volume meditation does not alter immune-related biomarkers

ObjectivesPrior studies of mindfulness meditation have demonstrated anti-inflammatory and immunoregulatory effects but whether meditation courses delivered online can exert similar effects is poorly understood. Barriers to large scale implementation of traditional mindfulness meditation programs has created an increased interest in the effect of less time- and resource-intensive online meditation courses. The purpose of this study was to determine whether a 6-week online mindfulness program with low time demands on nurses would lead to changes in gene expression, cytokine profiles, telomerase activity, and cortisol profiles. MethodsThis was a randomized, parallel pilot study comparing an online mindfulness-based stress management program to an active control group from December 2018 to May 2019. Healthy nurses with above average levels of perceived stress were randomized to receive a 6-week online mindfulness-based stress management program including ≥5 min daily meditation practice or listen to relaxing music for ≥5 min daily as the control arm. Blood samples were collected at baseline and after 6 weeks, and various self-reported measures of stress, physical and emotional health were collected at baseline, after 6 weeks, and after 12 weeks. Whole transcriptome mRNA sequencing of whole blood at baseline and after 6 weeks was performed along with measurement of plasma IL-6, IL-8, IL-10, TNF-α, and IFN-γ. Peripheral blood mononuclear cells were isolated, and telomerase activity was measured. Diurnal salivary cortisol profiles were assessed at baseline and after 6 weeks. The primary outcome was change over time in a pre-determined set of 53 genes representative of the immune-related changes seen with stress, which was analyzed using a mixed linear model. Secondary outcomes included all other self-reported measures and biomarkers mentioned above. ResultsA total of 61 nurses were randomized, with 52 having sufficient data to include in the final analysis. After 6 weeks, nurses in the control group reported significant reductions in stress as measured by the Perceived Stress Scale while those in the mindfulness group did not. However, after 12 weeks, the mindfulness group also showed a significant reduction in stress. When compared to the control group, no significant changes in RNA gene expression or any other biomarkers were observed in the nurses who participated in the mindfulness program. ConclusionsOur study found that this brief online mindfulness-based intervention was effective in reducing stress in nurses, albeit with a delayed effect compared to listening to relaxing music. Regarding immunoregulatory effects, there were no significant differences between treatment and control groups in transcriptomic or other tested biomarkers of immune function. This study provides evidence for a floor effect of mindfulness on transcriptional and circulating biomarkers of immune function.

Shared brain and genetic architectures between mental health and physical activity

Physical activity is correlated with, and effectively treats various forms of psychopathology. However, whether biological correlates of physical activity and psychopathology are shared remains unclear. Here, we examined the extent to which the neural and genetic architecture of physical activity and mental health are shared. Using data from the UK Biobank (N = 6389), we applied canonical correlation analysis to estimate associations between the amplitude and connectivity strength of subnetworks of three major neurocognitive networks (default mode, DMN; salience, SN; central executive networks, CEN) with accelerometer-derived measures of physical activity and self-reported mental health measures (primarily of depression, anxiety disorders, neuroticism, subjective well-being, and risk-taking behaviors). We estimated the genetic correlation between mental health and physical activity measures, as well as putative causal relationships by applying linkage disequilibrium score regression, genomic structural equational modeling, and latent causal variable analysis to genome-wide association summary statistics (GWAS N = 91,105–500,199). Physical activity and mental health were associated with connectivity strength and amplitude of the DMN, SN, and CEN (r’s ≥ 0.12, p’s < 0.048). These neural correlates exhibited highly similar loading patterns across mental health and physical activity models even when accounting for their shared variance. This suggests a largely shared brain network architecture between mental health and physical activity. Mental health and physical activity (including sleep) were also genetically correlated (|rg| = 0.085–0.121), but we found no evidence for causal relationships between them. Collectively, our findings provide empirical evidence that mental health and physical activity have shared brain and genetic architectures and suggest potential candidate subnetworks for future studies on brain mechanisms underlying beneficial effects of physical activity on mental health.

278 Piloting and evaluating the impact of specialist, online exercise programs on self-reported measures of health and exercise perceptions in adults with cystic fibrosis

278 Piloting and evaluating the impact of specialist, online exercise programs on self-reported measures of health and exercise perceptions in adults with cystic fibrosis

Changes in non-communicable diseases, diet and exercise in a rural Bangladesh setting before and after the first wave of COVID-19.

Prevalence of non-communicable diseases (NCDs) is high in rural Bangladesh. Given the complex multi-directional relationships between NCDs, COVID-19 infections and control measures, exploring pandemic impacts in this context is important. We conducted two cross-sectional surveys of adults ≥30-years in rural Faridpur district, Bangladesh, in February to March 2020 (survey 1, pre-COVID-19), and January to March 2021 (survey 2, post-lockdown). A new random sample of participants was taken at each survey. Anthropometric measures included: blood pressure, weight, height, hip and waist circumference and fasting and 2-hour post-glucose load blood glucose. An interviewer-administered questionnaire included: socio-demographics; lifestyle and behavioural risk factors; care seeking; self-rated health, depression and anxiety assessments. Differences in NCDs, diet and exercise were compared between surveys using chi2 tests, logistic and linear regression; sub-group analyses by gender, age and socio-economic tertiles were conducted. We recruited 950 (72.0%) participants in survey 1 and 1392 (87.9%) in survey 2. The percentage of the population with hypertension increased significantly from 34.5% (95% CI: 30.7, 38.5) to 41.5% (95% CI: 38.2, 45.0; p-value = 0.011); the increase was more pronounced in men. Across all measures of self-reported health and mental health, there was a significant improvement between survey 1 and 2. For self-rated health, we observed a 10-point increase (71.3 vs 81.2, p-value = 0.005). Depression reduced from 15.3% (95% CI: 8.4, 26.1) to 6.0% (95% CI: 2.7, 12.6; p-value = 0.044) and generalised anxiety from 17.9% (95% CI: 11.3, 27.3) to 4.0% (95% CI: 2.0, 7.6; p-value<0.001). No changes in fasting blood glucose, diabetes status, BMI or abdominal obesity were observed. Our findings suggest both positive and negative health outcomes following COVID-19 lockdown in a rural Bangladeshi setting, with a concerning increase in hypertension. These findings need to be further contextualised, with prospective assessments of indirect effects on physical and mental health and care-seeking.

Water insecurity, self-reported physical health, and objective measures of biological health in the Peruvian Amazon.

This study examines the associations between water insecurity, self-reported physical health, and objective measures of biological health among 225 Awajún adults (107 women; 118 men) living in the Peruvian Amazon, a "water-abundant" region. A survey, which included multiple measures of self-reported physical health, and objective measures of biological health such as blood pressure and nutritional and immune biomarkers. Greater water insecurity was associated with multiple measures of self-reported physical health, including higher incidence of reported diarrhea, nausea, back pain, headaches, chest pain, fatigue, dizziness, overall poor perceived health, and "being sick." These symptoms align with the physical strain associated with water acquisition and with drinking contaminated water. A significant association between higher water insecurity and lower systolic blood pressure emerged, which may be linked to dehydration. None of the other biomarkers, including those for nutrition, infection, and stress were significantly associated with water insecurity scores. These analyses add to the growing body of research examining the associations between water insecurity and health. Biocultural anthropologists are well-positioned to continue probing these connections. Future research will investigate relationships between measures of water insecurity and biomarkers for gastrointestinal infection and inflammation in water-scarce and water-abundant contexts.

Ischemia with no obstructive coronary artery disease (INOCA): A patient self-report quality of life survey from INOCA international

Background: There is limited information available regarding evidence of ischemia with no obstructive coronary arteries (INOCA) and quality of life.Purpose: To determine associations between INOCA and self-reported physical, social, and mental health.Methods: We conducted a survey of all members (n = 1579) of the INOCA International patient support group. Current self-reported diagnosis and health measures were collected. Functional capacity was retrospectively estimated using the Duke Activity Status Index (DASI), assessing levels of activities performed prior and after symptom onset.Results: A total of 297 (20.8% response rate, 91% women) reported symptoms of chest pain, pressure, or discomfort in 92.9%. Overall, 34.4% were living with symptoms for ≥3 years before an INOCA diagnosis, and 77.8% were told their symptoms were not cardiac. Estimated functional capacity was higher prior to compared to after symptom onset (8.6 ± 1.8 METs vs 5.6 ± 1.8 METs; P < 0.0001). Most respondents reported an adverse impact of symptoms on their home life (80.5%), social life (80.1%), mental health (70.4%), outlook on life (69.7%), sex life (55.9%), and their partner/spouse relationship (53.9%), while approximately three-quarters reduced their work hours or stopped work completely, 47.5% retired early, and 38.4% applied for disability.Conclusions: INOCA symptoms are associated with adverse physical, mental and social health quality of life. Increased patient awareness, physician recognition and diagnosis, and clinical trials are needed to develop evidence-based guidelines for this increasingly recognized cardiovascular disorder.

Analysis of the bidirectional relationships between posttraumatic stress and depression symptoms with physical health functioning in post-9/11 veteran men and women deployed to a war zone

ObjectiveMany war-zone deployed post-9/11 veterans report negative mental health symptoms related to their military service, which can have consequences for physical health symptoms and the impact of physical health on functioning. The current study examined the longitudinal, bidirectional relationships between mental health symptoms and physical health functioning in veteran men and women, allowing for exploration of gender differences. MethodsA sample of 1032 post-9/11 veterans (women: n = 554; men: n = 478) who recently returned from a war-zone deployment completed self-report measures of posttraumatic stress disorder (PTSD) symptoms, depression symptoms, and physical health functioning at 3 time points spanning approximately 7 years. Gender-stratified longitudinal cross-lagged panel analyses were used to examine bidirectional relationships. ResultsPTSD symptom severity was negatively associated with physical health functioning across time. For women, associations were reciprocal, such that those reporting poorer physical health functioning reported more severe PTSD symptoms at later time points. Men with greater PTSD symptom severity reported poorer physical health functioning at later time points, but there was no evidence of bidirectionality. Men and women with more severe depression symptoms reported worse later physical health functioning, which further exacerbated depression symptoms across time. ConclusionsFindings showed that individual differences in mental health symptoms both set the stage for and were impacted by physical health functioning in post-9/11 veterans. Although additional research is needed, the current study suggests that healthcare approaches that consider the whole person, such as through integration of mental and physical health treatments, may be particularly relevant for post-9/11 veterans.

Does cycling to work benefit mental health? A natural experiment using linked administrative data.

ObjectivesWe spend an increasing part of our daily lives commuting. Observational studies have shown commuting by bicycle improves subjective well-being. This study uses a quasi-experimental approach and an objective measure of mental health taken from linked administrative data to ask “does cycling to work benefit mental health?” ApproachPrevious studies have tended to use cross-sectional survey data which have small sample sizes and self-reported health measures that are subject to reporting bias. The potential for unmeasured confounding and reverse causation also weakens any conclusions. Our study links the Scottish population census with NHS Prescribing Information System records for data on commuting in Edinburgh and Glasgow and mental health prescriptions, respectively. Although there are complexities in determining causal effects from observational data, we employ an instrumental variable approach to address this using road distance from home to nearest cycle path as an instrument. ResultsApproximately 400,000 people aged 16-74 living and working in the City of Edinburgh and Glasgow City council areas as at the 2011 census were included in our study. Of those, 1.85% of commuters in Glasgow and 4.8% of commuters in Edinburgh cycled to work. Amongst cyclists 9% had a prescription for mental health compared to 14% amongst non-cyclists. More than 50% of commutes in both cities are less than 5km. Using the instrumental variable in a bivariate probit model we estimate an average treatment effect of -16.1% (95% confidence interval: -15.1% to -17.1%) in mental health prescriptions amongst those who cycle to work compared to those who use other forms of transport. ConclusionThis work confirms the benefit of cycling to work for mental health and provides further evidence in support of the promotion of active travel to encourage commuters travelling shorter distances to shift to cycling to work.

Ageing and autism: A longitudinal follow-up study of mental health and quality of life in autistic adults.

BackgroundPoor mental health is known to adversely affect functional abilities, social isolation, and quality of life (QoL). It is, therefore, crucial to consider the long-term impacts of mental health conditions as autistic adults grow older.ObjectivesTo explore, in a group of community-based autistic adults, the extent of: (i) autistic traits, co-occurring physical and mental health conditions; (ii) age-related differences in those conditions, and changes over time; and (iii) their impact on everyday living and QoL.MethodAbout Sixty-eight autistic adults (aged 19–80 years) participated in the first study (T1); 49 participants from T1 took part in a follow-up at T2 (mean retest interval 2.4 years). Standardised self-report measures of autistic traits, mental health, and QoL were completed at both time points.ResultsOver two-thirds (71%) of autistic adult participants experienced at least one co-occurring condition, and over a third (37%) met the criteria for three or more co-occurring conditions. Mental and physical health difficulties were related to autistic traits and difficulties in everyday life and were consistent predictors of poor QoL at T1 and T2.ConclusionMental health difficulties in autism persisted into older age and did not improve over time. These findings have important implications for mental health provision for autistic adults in older age.