Chronic Physical Conditions Research Articles

Association between asthma and work absence in working adults in the United States

Objectives: The present study aimed to investigate the association between asthma and work absence in a large sample of US working adults, while controlling for several sociodemographic and health characteristics. Methods: This study used data from the 2019 Health and Functional Capacity Survey of the RAND American Life Panel (ALP). Work absence corresponded to the number of days of absence from work for health-related reasons in the past 12 months. Current asthma was self-reported and was included in the analyses as a dichotomous variable. Control variables included sex, age, ethnicity, marital status, education, occupation, annual family income, health insurance, and number of chronic physical or psychiatric conditions. Finally, the association between asthma and work absence was analyzed using logistic regression models. Results: This study included 1,323 adults aged 22–65 years (53.1% males; mean [SD] age 43.1 [11.7] years). Individuals with asthma were more likely to report at least one (81.5% versus 56.8%, p-value<0.001) or three days of absence (56.9% versus 31.3%, p-value=0.003) from work in the past 12 months than those without asthma. These findings were corroborated in the regression analyses, as asthma was positively and significantly associated with work absence after adjusting for all control variables (at least one day of absence: OR=3.24, 95% CI=1.44–7.29; at least three days of absence: OR=2.61, 95% CI=1.26–5.40). Conclusions: This US study of working adults showed that asthma was a risk factor for work absence. Further research is warranted to better understand the factors predisposing to work absence in the asthma population.

36.4 “How Are You Doing?”: Training Pediatric Specialty Fellows to Incorporate Mental Health Assessment

Youth with chronic physical conditions have higher rates of mental health (MH) disorders compared with their healthy peers. Pediatric subspecialists are increasingly recognizing the importance of addressing MH disorders in their patients, and multiple subspecialty organizations have recommended universal MH screening. Unfortunately, pediatric fellows receive insufficient training in MH competencies, leading to limited MH assessment in subspecialty clinics.

Intervention components of link worker social prescribing programmes: A scoping review.

In the United Kingdom (UK), link worker social prescribing has emerged as an option to improve long-term condition management and address primary care patients' non-medical needs by linking patients with community-based activities and support. Social prescribing is a complex, heterogenous intervention, and there is currently no taxonomy of components to guide its implementation and evaluation. This study aimed to identify and categorise the components of link worker social prescribing schemes in the United Kingdom. A scoping review of peer-reviewed literature was conducted. Six databases were used to identify papers that met inclusion criteria. Eligible articles were original research studies in the United Kingdom describing interventions that included (1) initial referral of adults with chronic physical health conditions and/or unmet social needs from primary care to a link worker or equivalent role, (2) consultation with a link worker or equivalent role and (3) referral to a community-based or government service. Of the 1078 articles identified, 32 met study eligibility criteria, representing 22 social prescribing schemes. We drew from the template for intervention description and replication (TIDieR) to identify, organise and report intervention components. We found wide variations in geography, target populations and intervention components such as activities and procedures conducted by primary care staff and link workers, organisational and staffing configurations and use of tools and financing approaches to facilitate adoption. Intervention components are summarised into a taxonomy to guide future research, policy and practice efforts in addition to supporting standardised intervention reporting.

Digital Health Interventions for Depression and Anxiety Among People With Chronic Conditions: Scoping Review.

BackgroundChronic conditions are characterized by their long duration (≥1 year), need for ongoing medical attention, and limitations in activities of daily living. These can often co-occur with depression and anxiety as common and detrimental comorbidities among the growing population living with chronic conditions. Digital health interventions (DHIs) hold promise in overcoming barriers to accessing mental health support for these individuals; however, the design and implementation of DHIs for depression and anxiety in people with chronic conditions are yet to be explored.ObjectiveThis study aimed to explore what is known in the literature regarding DHIs for the prevention, detection, or treatment of depression and anxiety among people with chronic conditions.MethodsA scoping review of the literature was conducted using the Arksey and O’Malley framework. Searches of the literature published in 5 databases between 1990 and 2019 were conducted in April 2019 and updated in March 2021. To be included, studies must have described a DHI tested with, or designed for, the prevention, detection, or treatment of depression or anxiety in people with common chronic conditions (arthritis, asthma, diabetes mellitus, heart disease, chronic obstructive pulmonary disease, cancer, stroke, and Alzheimer disease or dementia). Studies were independently screened by 2 reviewers against the inclusion and exclusion criteria. Both quantitative and qualitative data were extracted, charted, and synthesized to provide a descriptive summary of the trends and considerations for future research.ResultsDatabase searches yielded 11,422 articles across the initial and updated searches, 53 (0.46%) of which were included in this review. DHIs predominantly sought to provide treatment (44/53, 83%), followed by detection (5/53, 9%) and prevention (4/53, 8%). Most DHIs were focused on depression (36/53, 68%), guided (32/53, 60%), tailored to chronic physical conditions (19/53, 36%), and delivered through web-based platforms (20/53, 38%). Only 2 studies described the implementation of a DHI.ConclusionsAs a growing research area, DHIs offer the potential to address the gap in care for depression and anxiety among people with chronic conditions; however, their implementation in standard care is scarce. Although stepped care has been identified as a promising model to implement efficacious DHIs, few studies have investigated the use of DHIs for depression and anxiety among chronic conditions using such models. In developing stepped care, we outlined DHI tailoring, guidance, and intensity as key considerations that require further research.

Food insecurity and physical multimorbidity among adults aged ≥ 50 years from six low- and middle-income countries

PurposeFood insecurity and multimoribidity (i.e., ≥ 2 chronic conditions) may be linked bidirectionally, but there are no studies on this topic from LMICs. Therefore, the aim of the present study was to examine the association between food insecurity and physical multimorbidity in a large representative sample of older adults from six LMICs.MethodsCross-sectional, community-based data on adults aged ≥ 50 years from the World Health Organization’s Study on Global AGEing and Adult Health (SAGE) conducted in China, Ghana, India, Mexico, Russia, and South Africa were analyzed. A total of 11 chronic physical conditions were assessed. Past 12 month food insecurity was assessed with two questions on frequency of eating less and hunger due to lack of food. Multivariable logistic regression analysis was conducted to assess the associations.ResultsData on 34,129 adults aged ≥ 50 years [mean (SD) age 62.4 (16.0) years; age range 50–114 years; 47.9% males] were analyzed. After adjustment for potential confounders, in the overall sample, compared to being food secure, moderate and severe food insecurity were associated with 1.29 (95% CI 1.06–1.56) and 1.56 (95% CI 1.13–2.16) times higher odds for multimorbidity, respectivelyConclusionFood insecurity was associated with greater odds for multimorbidity in older adults from LMICs. Addressing food insecurity in the general population may reduce risk for multimorbidity, while screening for food insecurity and addressing it among those with multimorbidity may lead to better clinical outcomes, pending future longitudinal research

Factors Associated with Vaccination Intention against the COVID-19 Pandemic: A Global Population-Based Study

Several vaccines have been developed for COVID-19 since the pandemic began. This study aimed to evaluate the factors associated with COVID-19 vaccination intention. A global survey was conducted across 26 countries from October, 2020 to December, 2021 using an online self-administered questionnaire. Demographic information, socio-economic status, and clinical information were collected. A logistic regression examined the associations between vaccine intention and factors such as perceptions and the presence of chronic physical and mental conditions. The sample included 2459 participants, with 384 participants (15.7%) expressing lower COVID-19 vaccination intent. Individuals who identified as female; belonged to an older age group; had a higher level of education; were students; had full health insurance coverage; or had a previous history of influenza vaccination were more willing to receive vaccination. Conversely, those who were working part-time, were self-employed, or were receiving social welfare were less likely to report an intention to get vaccinated. Participants with mental or physical health conditions were more unwilling to receive vaccination, especially those with sickle cell disease, cancer history within the past five years, or mental illness. Stronger vaccination intent was associated with recommendations from the government or family doctors. The presence of chronic conditions was associated with lower vaccine intention. Individuals with health conditions are especially vulnerable to health complications and may experience an increased severity of COVID-19 symptoms. Future research should evaluate the effectiveness of interventions targeting the vaccine perceptions and behaviours of at-risk groups. As such, public awareness campaigns conducted by the government and proactive endorsement from health physicians may help improve COVID-19 vaccination intention.

People with serious mental illness are at higher risk for acute care hospitalization in Israel, 2000–2019

BackgroundPeople with severe mental disorders have higher mortality rates and more chronic physical conditions than the general population. Recent reforms in the Israeli mental health system included reducing the number of psychiatric hospital beds (“Structural Reform”), establishing community- based rehabilitation services (“Rehabilitation Reform”), and the transfer of governmental responsibility to the Health Maintenance Organizations (HMOs) (“Insurance Reform”). We examined how these changes have impacted the physical health of people with severe mental illness as reflected in acute care hospitalizations.MethodsData from the National Psychiatric Case Register were linked with data from the National Hospital Discharges Database for 2000–2019. Acute care discharges from public hospitals were identified for people who had a psychiatric hospitalization with a diagnosis of severe mental illness (SMI, ICD-10 codes F10-F69 or F90-F99) within the preceding 5 years. The discharge rate of SMI patients was compared to that of the total population by age, diagnosis group, and period of hospitalization. Total and age-standardized discharge ratios (SDR) were calculated, using indirect standardization.ResultsThe SDR for total acute care hospitalizations showed that discharge rates in 2016–2019 were 2.7 times higher for the SMI population than expected from the total population. The highest SDR was for external causes (5.7), followed by respiratory diseases (4.4), infectious diseases (3.9), skin diseases (3.7) and diabetes (3.3). The lowest SDR was for cancer (1.6). The total discharge rate ratio was lowest at ages 65–74 (2.2) and highest at ages 45–54 (3.2). The SDR was lowest for females at ages 25–34 (2.1) and for males at ages 18–24 (2.3). SDRs increased over the study period for all diagnoses. This increasing trend slowed at the end of the period, and between 2012–2015 and 2016–2019 there was a small decrease for skin and liver diseases, the SDR was stable for cancer and the increase was smaller for respiratory, infectious and circulatory diseases and diabetes.ConclusionThis study showed higher hospitalization rates in people with SMI compared to the total population. These differences increased between 2000 and 2019 following the opening of alternative services in the community, possibly due to a higher likelihood of psychiatric hospitalization only for those with more severe mental disease. We recommend that general practitioners and mental health professionals in the community be made aware of the essential importance of good physical healthcare, and collaborate on health promotion and disease prevention in the SMI population.

Evaluating effects of the structural reform of outpatient psychotherapy for patients with mental disorders in Germany: comparing patients with and without comorbid chronic physical condition – rationale and study protocol of the ES-RiP project

IntroductionIn 2017, in Germany, a structural reform of the outpatient psychotherapy guideline took place, aiming to reduce waiting times, to facilitate flexible low-threshold access (eg, general reachability by phone) and...

Prevalence and Characteristics of Providers' Care Coordination Communication With Schools.

Care coordination between schools and medical providers promotes child health, particularly for children with physical, emotional, and behavioral challenges. The purpose of this study was to assess caregivers' reports of provider-school communication for their children. Further, the study assessed if communication rates varied by child demographic or health conditions. This study was a cross-sectional analysis of the 2016-2017 National Survey of Children's Health focused on school-aged children (age 6-17 years; n=18,160). Weighted frequencies overall and stratified by provider-school communication status are reported. Multivariable logistic regression examined associations of provider-school communication. Only 23.5% of the total sample reported provider-school communication. The highest caregiver-reported communication prevalence was for children with diabetes (68.0%). Behavioral/mental health conditions, chronic physical health conditions or having increased medical complexity and needs were significantly associated with increased communication compared to those without these conditions. Odds Ratio (OR) and 95% Confidence Intervals (CI) for children with a behavioral/mental health condition were OR: 1.28; CI: 1.02 to 1.61, for children with a chronic physical health condition were OR: 1.37; CI: 1.15 to 1.63 and for children with special health care needs or with medical complexity were OR: 2.15; CI: 1.75 to 2.64 and OR: 1.77; CI: 1.09 to 2.87, respectively. Significant communication differences existed for every health condition (P < 0.05) except for children who had a blood disorder (P=0.365). Caregiver perception of provider-school communication is low and differences in reported rates existed between health conditions and complexity status. Further work is needed to support provider-school-family communication for children with physical, mental, behavioral, and complex health conditions.

Effects of physical activity interventions for caregivers of adults: A meta-analysis.

Caregivers of adults afflicted with a variety of chronic physical and mental health conditions are at risk for poorer well-being and reduced health related to chronic stress. Physical activity (PA) interventions may alleviate aspects of this burden, as well as provide benefits to physical health. However, notable limitations exist in the previous reviews that have attempted to synthesize the evidence for the benefits of PA interventions. A meta-analysis was conducted investigating and quantifying the impact of PA interventions on different domains of mental and physical health for caregivers of adults, including only randomized and nonrandomized control trials. A comprehensive search yielded 25 studies. PA interventions led to small-to-medium effects (Hedges' g = .37, 95% confidence interval [.18, .56]) on mental health, with the most notable impact on quality of life (Hedges' g = .74, 95% CI [48, 1.01]). PA interventions led to trivial effects on physical health (Hedges' g = .15, 95% CI [.01, .31]), with small but significant effects found for mobility outcomes (Hedges' g = .28, 95% CI [.10, .47]). Yoga interventions yielded large effects (g = .85, 95% CI [.52, 1.17], p < .001) compared to other forms of PA (g = .24, 95% CI [.40, .43], p = .018), primarily within the domain of mental health. PA interventions appear to be effective for improving caregiver health, particularly in relation to psychological health. Further high-quality research using standardized measures for outcome comparison is needed to determine the type, formats, and length of PA interventions that best serve different caregiving populations. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Ageism Takes Toll on Physical, Mental Health

Ageism Takes Toll on Physical, Mental Health

A Synthesis of Algorithms for Multi-Jurisdiction Research in Canada.

ObjectivesValidation of algorithms to identify health conditions (e.g., diabetes) or service use (e.g., high-cost users) in administrative data is time-consuming and expensive. Many algorithms are only assessed in a single jurisdiction, which may limit generalizability. Our study described the characteristics of multi-jurisdiction algorithms from a Canadian algorithm repository.&#x0D; ApproachWe summarized algorithms captured in the open-access Algorithms Inventory developed by Health Data Research Network (HDRN) Canada. This inventory contains published algorithms identified through a series of systematic reviews of peer-reviewed research. Algorithms included in the inventory were validated or assessed for feasibility of implementation in two or more provinces/territories; they encompass measures of population health, health service use, and determinants of health. Descriptive statistics were used to characterize the study data on such features as year and discipline of the study journal, algorithm topic area, jurisdictions included in the study, validation source data, and algorithm elements (i.e., diagnosis codes).&#x0D; ResultsThe HDRN Canada Algorithms Inventory currently contains 166 algorithms from 63 published articles. The majority of articles were published in 2010 or later (89%) and more than half (56%) of the articles were found in journals with a clinical focus. Feasibility studies (79%) were conducted more often than validation studies (21%). Most algorithms used data from the provinces of British Columbia, Manitoba, Ontario, and Nova Scotia. The majority of algorithms (72%) measured population health concepts, such as chronic physical health conditions (63%; e.g., hypertension) and mental health conditions (14%; e.g., depression). Algorithms about the determinants of health (17%) mostly focused on measures of socioeconomic status (37%) derived from census data. Multi-jurisdiction algorithms about health service use were least common (11%).&#x0D; ConclusionThis synthesis revealed few Canadian multi-jurisdiction validation studies have been conducted and not all provinces/territories are equally represented. New validation studies, particularly about health service use and determinants of health, will increase the consistency and accuracy of Canadian research. Reusing published algorithms from this inventory will facilitate research reproducibility.

The impact of comorbid severe mental illness and common chronic physical health conditions on hospitalisation: A systematic review and meta-analysis.

People with severe mental illness (SMI) are at higher risk of physical health conditions compared to the general population, however, the impact of specific underlying health conditions on the use of secondary care by people with SMI is unknown. We investigated hospital use in people managed in the community with SMI and five common physical long-term conditions: cardiovascular diseases, COPD, cancers, diabetes and liver disease. We performed a systematic review and meta-analysis (Prospero: CRD42020176251) using terms for SMI, physical health conditions and hospitalisation. We included observational studies in adults under the age of 75 with a diagnosis of SMI who were managed in the community and had one of the physical conditions of interest. The primary outcomes were hospital use for all causes, physical health causes and related to the physical condition under study. We performed random-effects meta-analyses, stratified by physical condition. We identified 5,129 studies, of which 50 were included: focusing on diabetes (n = 21), cardiovascular disease (n = 19), COPD (n = 4), cancer (n = 3), liver disease (n = 1), and multiple physical health conditions (n = 2). The pooled odds ratio (pOR) of any hospital use in patients with diabetes and SMI was 1.28 (95%CI:1.15-1.44) compared to patients with diabetes alone and pooled hazard ratio was 1.19 (95%CI:1.08-1.31). The risk of 30-day readmissions was raised in patients with SMI and diabetes (pOR: 1.18, 95%CI:1.08-1.29), SMI and cardiovascular disease (pOR: 1.27, 95%CI:1.06-1.53) and SMI and COPD (pOR:1.18, 95%CI: 1.14-1.22) compared to patients with those conditions but no SMI. People with SMI and five physical conditions are at higher risk of hospitalisation compared to people with that physical condition alone. Further research is warranted into the combined effects of SMI and physical conditions on longer-term hospital use to better target interventions aimed at reducing inappropriate hospital use and improving disease management and outcomes.

Reflections on health among women in homelessness: Aqualitative study.

INTRODUCTION: Mental health issues are common among women in homelessness, alongside undertreated chronic physical conditions leading to serious and unnecessary complications. Even though homelessness and risks of impaired health have been researched, broader perspectives of health are absent. To describe reflections on health among women with experiences of homelessness. We conducted 13 interviews with women in homelessness using researcher-driven photograph elicitation. Together with an advisory board of women with lived experience of homelessness, researchers were guided by the DEPICT model for collaborative data analysis and performed a thematic analysis. Women with experiences of homelessness emphasized three main resources for achieving health and well-being: feelings of having a home, being involved in authentic relationships and experiences of preserved dignity. Healthcare needs to integrate the perceived resources for health and well-being when caring for women in homelessness. It is imperative since women will return to the healthcare setting only if they feel safe and secure, and only if dignity is preserved or restored. The results promote utilization of an integrative nursing approach; understanding that the health of women in homelessness is inseparable from their environment and social determinants for health, such as housing and social integration.

Prevalence of Physical Health, Mental Health, and Disability Comorbidities among Women Living with HIV in Canada.

Life expectancy for people living with HIV has increased, but management of HIV is now more complex due to comorbidities. This study aimed to measure the prevalence of comorbidities among women living with HIV in Canada. We conducted a cross-sectional analysis using data from the 18-months survey (2014–2016) of the Canadian HIV Women’s Sexual and Reproductive Health Cohort Study (CHIWOS). Self-report of diagnosed conditions was used to measure lifetime prevalence of chronic physical conditions, current mental health conditions, and disabilities. We examined frequency of overlapping conditions and prevalence stratified by gender identity, ethnicity, and age. Among 1039 participants, 70.1% reported a physical health diagnosis, 57.4% reported a current mental health diagnosis, 19.9% reported a disability, and 47.1% reported both physical and mental health comorbidities. The most prevalent comorbidities were depression (32.3%), anxiety (29.5%), obesity (26.7%, defined as body mass index >30 kg/m2), asthma/chronic obstructive pulmonary disease (23.3%), sleep disorder (22.0%), drug addiction (21.9%), and arthritis/osteoarthritis (20.9%). These results highlight the complexity of HIV care and the important prevalence of comorbidities. Personalized health care that integrates care and prevention of all comorbidities with HIV, with attention to social determinants of health, is necessary to optimize health and well-being of women living with HIV.

An adapted behavioural activation intervention (DiaDeM) for people with diabetes and depression in South Asia: A feasibility study protocol

Background: The burden of depression is a rapidly growing problem worldwide. Its prevalence is particularly high among individuals with chronic physical conditions such as Type 2 Diabetes (T2DM), precipitating poorer health outcomes. There is a lack of evidence around treatments that can work among such groups, particularly in Low and Middle-Income Countries (LMICs). This study aims to test the feasibility and acceptability of a culturally adapted Behavioural Activation (BA) intervention (DiaDeM) for people with T2DM and depression in two LMICs in South Asia. Methods: A multicentre, randomised-controlled feasibility trial will be conducted from March 2022 to February 2023. We will recruit 128 adults from health facilities in Bangladesh and Pakistan with a diagnosis of T2DM and depression. Using a 1:1 allocation ratio, consenting individuals will be randomised to either optimised usual care or the DiaDeM intervention. The latter will involve six face-to-face or remotely delivered BA sessions conducted by non-mental health facilitators over six to twelve weeks. Participants will be followed up at three and six months post-randomisation. Feasibility outcomes include the feasibility and acceptability of recruitment and retention, the feasibility of intervention delivery and the feasibility of data collection at baseline and follow-up (including economic data). An embedded mixed-methods process evaluation will also be carried out to inform the main trial. Conclusions: BA is a low resource intervention for depression treatment that can be optimised for delivery in LMIC settings such as South Asia. The planned feasibility trial will directly inform a larger trial to assess the effectiveness and cost-effectiveness of such an intervention in people with T2DM and depression. It will also contribute to the wider evidence base around BA in patients with chronic physical illnesses, with particular relevance to South Asian, as well as wider LMIC regions and populations. Trial registration: ISRCTN 75501608

Influences of Chronic Physical and Mental Health Conditions on Child and Adolescent Positive Health.

Pediatric positive health refers to children's assessments of their well-being. The purpose of this study was to contrast positive health for children aged 8 to 17 years with and without chronic physical and mental health conditions. Data were drawn from the National Institutes of Health Environmental influences on Child Health Outcomes (ECHO) research program. Participants included 1764 children ages 8 to 17 years from 13 ECHO cohorts. We measured positive health using the Patient-Reported Outcomes Measurement Information System (PROMIS) Pediatric Global Health and Life Satisfaction patient-reported outcome (PRO) measures. We used multiple regression to examine cross-sectional associations between the PROs and parent-reported health conditions and sociodemographic variables. We defined a meaningful difference in average scores as a PROMIS T-score difference of >3. The sample included 45% 13 to 17-year-olds, 50% females, 8% Latinx, and 23% Black/African-American. Fifty-four percent had a chronic health condition. Of the 16 chronic conditions included in the study, only chronic pain (β=-3.5; 95% CI: -5.2 to -1.9) and depression (β=-6.6; 95% CI: -8.5 to -4.6) were associated with scoring >3 points lower on global health. Only depression was associated with >3 points lower on life satisfaction (β=-6.2; 95% CI: -8.1 to -4.3). Among those with depression, 95% also had another chronic condition. Many children with chronic conditions have similar levels of positive health as counterparts without chronic conditions. The study results suggest that negative associations between chronic conditions and positive health may be primarily attributable to presence or co-occurrence of depression.

Stigma, health, and academic performance in university students with physical and mental chronic health conditions: Baseline data report.

Stigma, health, and academic performance in university students with physical and mental chronic health conditions: Baseline data report.

The temporal relationship between severe mental illness diagnosis and chronic physical comorbidity: a UK primary care cohort study of disease burden over 10 years

Despite increased rates of physical health problems in people with schizophrenia, bipolar disorder, and other psychotic illnesses, the temporal relationship between physical disease acquisition and diagnosis of a severe mental illness remains unclear. We aimed to determine the cumulative prevalence of 24 chronic physical conditions in people with severe mental illness from 5 years before to 5 years after their diagnosis. In this cohort study, we used the UK Clinical Practice Research Datalink (CPRD) to identify patients aged 18-100 years who were diagnosed with severe mental illness between Jan 1, 2000, and Dec 31, 2018. Each patient with severe mental illness was matched with up to four individuals in the CPRD without severe mental illness by sex, 5-year age band, primary care practice, and year of primary care practice registration. Individuals in the matched cohort were assigned an index date equal to the date of severe mental illness diagnosis in the patient with severe mental illness to whom they were matched. Our primary outcome was the cumulative prevalence of 24 physical health conditions, based on the Charlson and Elixhauser comorbidity indices, at 5 years, 3 years, and 1 year before and after severe mental illness diagnosis and at the time of diagnosis. We used logistic regression to compare people with severe mental illness with the matched cohort, adjusting for key variables such as age, sex, and ethnicity. We identified 68 789 patients diagnosed with a severe mental illness between Jan 1, 2000, and Dec 31, 2018, and we matched them to 274 827 patients without a severe mental illness diagnosis. In both cohorts taken together, the median age was 40·90 years (IQR 29·46-56·00), 175 138 (50·97%) people were male, and 168 478 (49·03%) were female. The majority of patients were of White ethnicity (59 867 [87·03%] patients with a severe mental illness and 244 566 [88·99%] people in the matched cohort). The most prevalent conditions at the time of diagnosis in people with severe mental illness were asthma (10 581 [15·38%] of 68 789 patients), hypertension (8696 [12·64%]), diabetes (4897 [7·12%]), neurological disease (3484 [5·06%]), and hypothyroidism (2871 [4·17%]). At diagnosis, people with schizophrenia had increased odds of five of 24 chronic physical conditions compared with matched controls, and nine of 24 conditions were diagnosed less frequently than in matched controls. Individuals with bipolar disorder and other psychoses had increased odds of 15 conditions at diagnosis. At 5 years after severe mental illness diagnosis, these numbers had increased to 13 conditions for schizophrenia, 19 for bipolar disorder, and 16 for other psychoses. Elevated odds of multiple conditions at the point of severe mental illness diagnosis suggest that early intervention on physical health parameters is necessary to reduce morbidity and premature mortality. Some physical conditions might be under-recorded in patients with schizophrenia relative to patients with other severe mental illness subtypes. UK Office For Health Improvement and Disparities.

Disparities in chronic physical health conditions in sexual and gender minority people using the United States Behavioral Risk Factor Surveillance System

This study analyzed the physical health status of adults who belong to a sexual or gender minority (SGM) population, and whether health inequities correlate with access to quality healthcare. The Centers for Disease Control and Prevention (CDC) 2014–2020 Behavioral Risk Factor Surveillance System (BRFSS) included data for 64,696 adults who identified as gay, lesbian, bisexual, other, and/or transgender and 1,369,681 adults who identified as cisgender and straight. Multivariable logistic regressions of the weighted sample were conducted to examine associations between demographics and health and access outcomes. After accounting for demographic variables, drinking, and smoking behavior, SGM respondents reported poorer physical and mental health, which worsened after the start of the COVID-19 pandemic. SGM respondents had higher odds than non-SGM of having asthma, arthritis, diabetes, kidney disease, hypertension, cardiovascular disease, heart attack, stroke, and chronic obstructive pulmonary disease (COPD), as well as difficulties “see[ing] the doctor because of cost,” particularly after the start of the COVID pandemic. SGM respondents had higher odds of lack of access to healthcare provider, delayed medical care, and issues taking medications due to cost and fewer routine checkups. Thus, the SGM group faced worse health and higher rates of some chronic conditions. This study found a significant relationship with cost barriers attributable to larger societal discrimination regarding SGM individuals, particularly in the workplace. Further research exploring these results is critical, but these findings have identified areas of healthcare inequity to be addressed via preventative health efforts in both public health and primary care settings.