Health and disability - a multi-group latent class analysis of the World Health Organization Disability Assessment Schedule 2.0 among those with mental and physical health conditions.

BACKGROUND: This study aims to identify disability classes among people with schizophrenia spectrum disorder, depression, anxiety or diabetes via the WHODAS 2.0; investigate the invariance of disability patterns among the four diagnostic groups; and examine associations between disability classes and sociodemographic variables. METHODS: Patients seeking treatment for schizophrenia spectrum disorder, depression, anxiety or diabetes (n=1076) were recruited. Latent class analysis was used to identify disability classes based on WHODAS 2.0 responses. Measurement invariance was tested using multi-group latent class analysis. Associations between classes and sociodemographic variables were tested via multinomial logistic regression. RESULTS: A five-class solution was identified; examination of model invariance showed that the partially constrained five-class model was most appropriate, suggesting that class structure was consistent while class membership differed across diagnostic groups. Finally, significant associations were found between class membership and ethnicity, education level, and employment status. CONCLUSIONS: The results show the feasibility of using the WHODAS 2.0 to identify and compare different disability classes among people with mental or physical conditions and their sociodemographic correlates. Establishing a typology of different disability profiles will help guide research and treatment plans that tackle not just clinical but also functional aspects of living with either a chronic psychiatric or physical condition.

Generic and disease-specific caregiver contribution to self-care in a population with multiple chronic conditions: A comparative study.

AIM: Describe and compare generic and disease-specific caregiver contribution (CC) to self-care behaviours in the dimensions of self-care maintenance, self-care monitoring and self-care management in multiple chronic conditions (MCCs). DESIGN: Multicentre cross-sectional study. METHODS: We enrolled caregivers of patients with MCC, from April 2017 to November 2022, if they were (a) 18 years of age or older and (b) identified by the patient as the principal unpaid informal caregiver. The Caregiver Contribution to Self-Care of Chronic Illness Inventory, Caregiver Contribution to Self-Care of Heart Failure Index, Caregiver Contribution to Self-Care of COPD Inventory and Caregiver Contribution to Self-care of Diabetes Inventory were used to measure generic and disease-specific contribution to patient self-care. Descriptive statistics, Student's t-tests and Pearson's correlation coefficients were used. RESULTS: We found adequate generic CC for self-care monitoring but inadequate CC in self-care maintenance and management. All CC to disease-specific self-care maintenance, monitoring and management scales' scores were inadequate, except for caregivers of diabetic patients in which we observed an adequate score in the CC to self-care maintenance and self-care management scales in those practice insulin therapy. CONCLUSION: Caregivers experience difficulties in performing behaviours of contribution to their patients affected by chronic conditions. Caregivers of patients with MCCs contribute more to self-care in aspects related to provider prescriptions and less to lifestyle changes. IMPLICATIONS FOR THE PROFESSION AND/OR PATIENT CARE: Healthcare professionals have to know in which behaviours caregivers show gaps and reflect on the reasons for poor CC to self-care to develop interventions to enhance these behaviours. IMPACT: This study underlines the importance of choosing the most appropriate instrument for measuring CC to self-care, considering the caregiver's characteristics. REPORTING METHOD: We adhered to STROBE guidelines. PATIENT OR PUBLIC CONTRIBUTION: Caregivers of patients affected by MCCs were enrolled.

Multimorbidity and associated informal care receiving characteristics for US older adults: a latent class analysis.

BACKGROUND: Older adults with varying patterns of multimorbidity may require distinct types of care and rely on informal caregiving to meet their care needs. This study aims to identify groups of older adults with distinct, empirically-determined multimorbidity patterns and compare characteristics of informal care received among estimated classes. METHODS: Data are from the 2011 National Health and Aging Trends Study (NHATS). Ten chronic conditions were included to estimate multimorbidity patterns among 7532 individuals using latent class analysis. Multinomial logistic regression model was estimated to examine the association between sociodemographic characteristics, health status and lifestyle variables, care-receiving characteristics and latent class membership. RESULTS: A four-class solution identified the following multimorbidity groups: some somatic conditions with moderate cognitive impairment (30%), cardiometabolic (25%), musculoskeletal (24%), and multisystem (21%). Compared with those who reported receiving no help, care recipients who received help with household activities only (OR = 1.44, 95% CI 1.05-1.98), mobility but not self-care (OR = 1.63, 95% CI 1.05-2.53), or self-care but not mobility (OR = 2.07, 95% CI 1.29-3.31) had greater likelihood of being in the multisystem group versus the some-somatic group. Having more caregivers was associated with higher odds of being in the multisystem group compared with the some-somatic group (OR = 1.09, 95% CI 1.00-1.18), whereas receiving help from paid helpers was associated with lower odds of being in the multisystem group (OR = 0.36, 95% CI 0.19-0.77). CONCLUSIONS: Results highlighted different care needs among persons with distinct combinations of multimorbidity, in particular the wide range of informal needs among older adults with multisystem multimorbidity. Policies and interventions should recognize the differential care needs associated with multimorbidity patterns to better provide person-centered care.

Chronic Conditions and Multimorbidity Among Middle-Aged and Elderly Peri-Urban Dwellers in Dar es Salaam, Tanzania.

Objectives: Chronic conditions and multimorbidity affect care needs and prevention opportunities. Methods: We studied 2,246 men and women aged ≥40 years within the Dar es Salaam Urban Cohort Study from June 2017 to July 2018. Seventeen chronic conditions were assessed based on self-report, body and blood pressure measurement, blood tests, and screening instruments. Results: Hypertension (51.3%), anemia (34.1%), obesity (32.2%), diabetes (31.6%), depressive symptoms (31.5%), low grip strength (21.2%), and ischemic heart disease (11.9%) were widespread. Multimorbidity was common (73.7%). Women had higher odds of obesity, ischemic heart disease, and high cholesterol (adjusted OR: 2.08-4.16) and lower odds of underweight, low grip strength, alcohol problems, and smoking (adjusted OR: 0.04-0.45). Ten years of age were associated with higher odds of low grip strength, cognitive problems, hypertension, kidney disease, chronic cough, diabetes, high cholesterol, ischemic heart disease, and multimorbidity (adjusted OR: 1.21-1.81) and lower odds of HIV infection (adjusted OR: 0.51). Conclusion: We found a higher prevalence of multimorbidity than previously estimated for middle-aged and elderly people in sub-Saharan Africa. The chronic conditions underlying multimorbidity differed by sex.

Specialist care visits outside the hospital by South Australian older adults.

BACKGROUND: Limited access to specialist medical services is a major barrier to healthcare in rural areas. We compared rural-urban specialist doctor consultations outside hospital by older adults (≥ 60 years) across South Australia. METHODS: Cross-sectional data were available from the South Australia's Department of Health. The Modified Monash Model (MM1-7) of remoteness was used to categorize data into rural (MM 3-4), remote (MM5-7), and urban (MM1-MM2) of participants in urban and non-urban South Australia. The analysis was conducted on older adults (n = 20,522), self-reporting chronic physical and common mental health conditions. RESULTS: Specialist doctor consultation in the past 4 weeks was 14.6% in our sample. In multivariable analysis, increasing age (odds ratio 1.3, 95% CI: 1.2-1.4), higher education (odds ratio 1.5, 95% CI: 1.3-1.9), physical health conditions [diabetes (odds ratio 1.2, 95% CI: 1.1-1.3); cancer (odds ratio1.8, 95% CI: 1.7-2.0); heart disease (odds ratio 1.9, 95% CI: 1.6-2.1)], and common mental disorders [depression (odds ratio 1.3, 95% CI: 1.1-1.5); anxiety (odds ratio 1.4, 95% CI: 1.1-1.6)] were associated with higher specialist care use. Specialist care use among rural (odds ratio 0.8, 95% CI: 0.6-0.9), and remote (odds ratio 0.8, 95% CI: 0.7-0.9) older people was significantly lower than their urban counterparts after controlling for age, education, and chronic disease. CONCLUSION: Our findings demonstrate a disparity in the use of out of hospital specialist medical services between urban and non-urban areas.

Chronic Physical and Mental Health Conditions Associated With Employment Status in Veterans.

Introduction: Veterans commonly experience both poor health and employment difficulty. However, the research examining potential relationships between chronic physical and mental health conditions and employment in veterans has important limitations. This study examines those potential relationships using large-scale, nationally representative data. The authors' hypothesis was that veterans experiencing these conditions would be less likely to be employed than veterans without the conditions and, further, that there may be differences in these relationships when comparing male veterans with female veterans. Methods: The study team conducted a pooled cross-sectional analysis of nationally representative data from the 2004-2019 administrations of the Medical Expenditures Panel Survey, which had items addressing health conditions, employment, and military experience. The authors assessed the relationship between health conditions and employment using multivariate logistic regression. Control variables included demographics, SES, family size, and survey year. Results: Veterans experiencing diabetes, high blood pressure, stroke, emphysema, arthritis, serious hearing loss, poor self-reported mental health, poor self-reported health, depression, or psychological distress were less likely to be employed than veterans without those conditions, even after adjusting for potential confounding factors. Veterans with diabetes had 25% lesser odds of being employed than veterans without the condition (95% CI=0.65, 0.85). Veterans with increased likelihood of depression had 35% lesser odds of being employed than veterans without depression (95% CI=0.52, 0.81). Conclusions: This study adds evidence to the understanding of the role of chronic health conditions in employment status of veterans. The results support arguments for programs that aid veterans with both their health and their employment.

Network analysis of the urban-rural differences in depressive symptoms among older adults with multiple chronic conditions: Evidence from a national survey.

BACKGROUND: Evidence on the differences in depressive symptoms among older adults with multiple chronic conditions (MCCs) in urban and rural areas is limited. METHODS: Measures of depressive symptoms (Center for Epidemiologic Studies Depression Scale-10) and demographic factors (age, gender, and urban-rural distribution) were used. RESULTS: A total of 4021 older adults with MCCs were included in this study. Significant differences were observed in both network global strength (Urban: 3.989 vs. Rural: 3.703, S = 0.286, p = 0.003) and network structure (M = 0.139, p = 0.002) between urban and rural residents. CONCLUSIONS: The study highlights the need for region-specific approaches to understanding and addressing depression and holds the potential to enhance understanding of the psychological health status of older adults with MCCs in urban and rural settings.

Validated administrative data based ICD-10 algorithms for chronic conditions: A systematic review.

OBJECTIVE: This systematic review aimed to identify ICD-10 based validated algorithms for chronic conditions using health administrative data. METHODS: A comprehensive systematic literature search using Ovid MEDLINE, Embase, PsycINFO, Web of Science and CINAHL was performed to identify studies, published between 1983 and May 2023, on validated algorithms for chronic conditions using administrative health data. Two reviewers independently screened titles and abstracts and reviewed full text of selected studies to complete data extraction. A third reviewer resolved conflicts arising at the screening or study selection stages. The primary outcome was validated studies of ICD-10 based algorithms with both sensitivity and PPV of ≥70 %. Studies with either sensitivity or PPV <70 % were included as secondary outcomes. RESULTS: Overall, the search identified 1686 studies of which 54 met the inclusion criteria. Combining a previously published literature search, a total of 61 studies were included for data extraction. The study identified 40 chronic conditions with high validity and 22 conditions with moderate validity. The validated algorithms were based on administrative data from different countries including Canada, USA, Australia, Japan, France, South Korea, and Taiwan. The algorithms identified included several types of cancers, cardiovascular conditions, kidney diseases, gastrointestinal disorders, and peripheral vascular diseases, amongst others. CONCLUSION: With ICD-10 prominently used across the world, this up-to-date systematic review can prove to be a helpful resource for research and surveillance initiatives using administrative health data for identifying chronic conditions.

Association Between Depression Symptoms and Disability Outcomes in Older Adults at Risk of Mobility Decline.

Objective: To assess the association between depression symptoms and physical functioning and participation in daily life over 2 years in older adults at risk of mobility decline. Design: A secondary analysis of 2-year observational data from the Boston Rehabilitative Impairment Study of the Elderly. Setting: Nine primary care clinics within a single health care system. Participants: Participants (N=432; mean age ± SD, 76.6±7.0y; range, 65-96y; 67.7% women) were community-dwelling adults (>65y) at risk of mobility decline. Interventions: Not applicable. Main Outcome Measures: Secondary data analyses of the Late Life Function and Disability Instrument (primary outcome), Short Physical Performance Battery (secondary outcome), and Patient Health Questionnaire-9 (PHQ-9) (predictor). Measures were administered at baseline, 12 months, and 24 months. Participants completed a self-report survey asking about 16 medical comorbidities, and demographic information was collected at baseline. Results: Participants had an average ± SD PHQ-9 score of 1.3±3.1, ranging from 0 to 24 at baseline. Twenty-nine percent of participants reported a history of depression. Greater depression symptoms were associated with lower physical functioning (unstandardized beta [B]=-0.14, SE=0.05, P=.011) and restricted participation (frequency subscale: B=-0.21, SE=0.11, P=.001; limitation subscale: B=-0.45, SE=0.04, P<.001) cross-sectionally over 2 years. PHQ-9 was not significantly associated with the rate of change in Late Life Function and Disability Instrument score over 2 years. Conclusions: Treating depression in primary care may be an important strategy for reducing the burden of functional limitations and participation restrictions at any 1 time. Further research is needed on treatment models to cotarget depression and physical functioning among at-risk older adults.

Factors Associated with Hyperpolypharmacy and Complex Medication Regimens in Kidney Transplant Recipients.

Background: Kidney transplantation is considered the best modality for renal replacement therapy. The use of immunosuppressive therapy and pre-existing and newly developed comorbidities predispose these patients to the use of a large number of medications. (Hyper)polypharmacy is associated with worse adherence and negative outcomes. This study aims to explore the factors correlated with hyperpolypharmacy and complex medication regimens in kidney transplant recipients. Methods: This is a cross-sectional study of outpatient kidney transplant recipients. Collected data include demographic data, complete chronic medication lists, medical history, and graft function. Linear and logistic regression were used to identify factors associated with hyperpolypharmacy and complex medication regimens. Medication regimen complexity was quantified by the Medication Regimen Complexity Index (MRCI). Results: Overall, 224 kidney transplant recipients were included, with an average time since transplantation of 8 years. Hyperpolypharmacy was present in more than two-thirds of patients; the average number of different medications was 12; and the mean MRCI score was 21.4, ranging from 6 to 50. Hypertension was almost universally present, while other frequently prescribed medication groups were hypolipemics, medication for bone-mineral metabolism disorders, gout, and antihyperglycemics. Conclusions: Factors independently associated with hyperpolypharmacy and complex medication regimens were found to be age and graft function. Studies investigating interventions aimed at reducing medication complexity and increasing adherence should focus on older patients with worse graft function.

Additive interaction of disability with chronic conditions on mortality risk in middle-aged and older adults in Spain.

BACKGROUND: Disability and chronic diseases are prevalent conditions associated with mortality, but little information is available on their potential synergistic effects. OBJECTIVE: This study aimed to describe additive interactions between disability and chronic diseases on mortality risk in middle-aged and older adults. METHODS: A representative cohort of 22,800 community-dwelling Spanish people aged 50 years or older were interviewed for disability with the Global Activity Limitation Indicator and specific chronic diseases in the 2011-12 and 2014 National Health Surveys and subsequently followed up for mortality. Five-year all-cause mortality risks were standardized in each disability-by-comorbidity category through inverse probability weighting. We computed interaction contrasts as the departure of the standardized risk difference for people with both conditions from the sum of the standardized risk differences for those with any single condition. RESULTS: The baseline prevalence of disability was 35.1 % (95 % confidence interval [CI] 34.4 %, 35.9 %). There was compelling evidence of synergistic effects of disability with chronic liver disease, heart diseases other than myocardial infarction, cancer, and cerebrovascular disease, with large positive interaction contrasts (95 % CIs) of 106.7 (-16.4, 229.9), 45.7 (6.9, 84.5), 45.1 (-15.0, 105.2), and 42.9 (-41.0, 126.9) excess deaths per 1000 persons. Less clear synergistic responses were observed for other comorbidities. We found some evidence of antagonism for osteoporosis, with a negative interaction contrast of -18.0 (95 % CI -82.2, 46.2) deaths per 1000 persons. CONCLUSION: Given the high mortality risk in people with disability, the study of its synergistic effects with target comorbidities can provide relevant information regarding preventive measures.

Cross-cultural adaptation and validation of the caregiver self-efficacy in contributing to patient self-care scale in China.

BACKGROUND: Caregiver self-efficacy is crucial in improving patient outcomes and caregiver well-being, but there is a lack of suitable scales to assess this concept within the context of Chinese culture. This study aimed to cross-culturally translate the Caregiver Self-Efficacy in Contributing to Patient Self-Care (CSE-CSC) Scale and evaluate its psychometric properties using classical test theory and item response theory. METHODS: The CSE-CSC scale was adapted using Brislin's translation model after obtaining authorization from the original author. A multicenter, cross-sectional study was conducted to assess the psychometric properties of this scale. Classical test theory was used to evaluate reliability (internal consistency, test-retest reliability), validity (content validity, structural validity, convergent validity), and floor and ceiling effects. Item response theory was employed to assess the fit of the rating scale model, reliability, item difficulties, and measurement invariance. RESULTS: The translation and cultural adaptation process was completed. Classical test theory demonstrated good internal consistency (Cronbach's α = 0.935) and test-retest reliability (ICC from 0.784 to 0.829, p<0.001). The I-CVI and K* of each item ranged from 0.875 to 1.00 and 0.871 to 1.00. The first-order 2-factor model fit well (χ2/df = 3.71, RMSEA = 0.082, SRMR = 0.032, CFI = 0.973, TLI = 0.60). Convergent validity showed that the CSE-CSC scores had a strong positive correlation with three separate scales of the CC-SC-CII. There was no floor and ceiling effect in this scale. Rasch analysis showed that the CSE-CSC scale demonstrated a good fit to the rating scale model and exhibited excellent reliability (person/item separation index>2, person/item reliability coefficients>0.8). The Wright map showed that item difficulty matched the respondents' measured abilities. The analysis of differential item functioning (DIF) showed that all items were comparable in gender. CONCLUSIONS: This study indicated that the CSE-CSC scale had good reliability, validity, difficulty degree, and measurement invariance. The CSE-CSC scale can be used to measure caregiver self-efficacy of Chinese patients with multiple chronic conditions.

Mortality following admission to the paediatric intensive care unit: A Swedish longitudinal cohort study.

AIM: This study aimed to compare outcomes post-admission to a Swedish paediatric intensive care unit (PICU) in children with complex chronic conditions (CCC) and without CCC. METHODS: In this observational registry-based study, consecutive admissions to the Astrid Lindgren Children's Hospital PICU from 1 January 2008 to 31 December 2016 were analysed. Data on demographics, predicted death rates (PDR), admission diagnoses and causes of death were collected. Mortality was recorded up to 15 years after admission and compared between groups. RESULTS: Patients with CCC constituted 64.6% (n = 3026) of PICU admissions and 83.5% (n = 111) of PICU deaths. The crude mortality rate in PICU was 2.84% overall. CCC-patients were 2.83 times more likely to die in PICU compared to non-CCC (OR 2.83; 95% CI: 1.78-4.49). Mortality increased in the CCC-cohort up to 5 years after PICU discharge, while non-CCC patients generally survived if they survived in PICU. Of the patients who died in PICU, the median PDR was 22.9% for CCC-patients and 66.5% in the non-CCC cohort. CONCLUSION: Children with CCC accounted for most admissions and deaths in PICU. Despite lower severity of illness scores upon admission, CCC patients were nearly three times more likely to die in PICU compared to non-CCC patients.

Associations between Historical Redlining and the Risk of Pregnancy Complications and Adverse Birth Outcomes in Massachusetts, 1995-2015.

Objective: To assess the impact of historical redlining on the risk of pregnancy complications and adverse birth outcomes in Massachusetts (MA) from 1995 to 2015. Methods: In total, 288,787 pregnant people from the MA Birth Registry had information on parental characteristics, pregnancy factors, and redlining data at parental residences at the time of delivery. Historic redlining data were based on MA Home Owners' Loan Corporation (HOLC) security maps, with grades assigned (A "best," B "still desirable," C "definitely declining," and D "hazardous"). We used covariate-adjusted binomial regression models to examine associations between HOLC grade and each chronic condition and pregnancy/birth outcome. Results: Living in HOLC grades B through D compared with A was associated with an increased risk of entering pregnancy with chronic conditions and adverse pregnancy/birth outcomes. The strongest associations were seen with pregestational diabetes (adjusted risk ratio [RR] Grade D: 1.7, 95% confidence interval [CI]: 1.3, 2.4) and chronic hypertension (adjusted RR Grade D: 1.5, 95% CI: 1.1, 1.9). Conclusions: Historical redlining policies from the 1930s were associated with adverse pregnancy outcomes and chronic conditions; associations were strongest for chronic conditions in pregnancy.

Classification Accuracy and Description of Myalgic Encephalomyelitis/Chronic Fatigue Syndrome in an Integrated Health Care System, 2006-2017.

INTRODUCTION: Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is a chronic illness characterized by marked functional limitations and fatigue. Electronic health records can be used to estimate incidence of ME/CFS but may have limitations. METHODS: The authors used International Classification of Diseases (ICD) diagnosis codes to identify all presumptive cases of ME/CFS among 9- to 39-year-olds from 2006 to 2017. The authors randomly selected 200 cases for medical record review to classify cases as confirmed, probable, or possible, based on which and how many current clinical criteria they met, and to further characterize their illness. The authors calculated crude annual rates of ME/CFS coding stratified by age and sex using only those ICD codes that had identified confirmed, probable, or possible ME/CFS cases in the medical record review. RESULTS: The authors identified 522 individuals with presumptive ME/CFS based on having ≥ 1 ICD codes for ME/CFS in their electronic medical record. Of the 200 cases selected, records were available and reviewed for 188. Thirty (15%) were confirmed or probable ME/CFS cases, 39 (19%) were possible cases, 119 (60%) were not cases, and 12 (6%) had no medical record available. Confirmed/probable cases commonly had chronic pain (80%) or anxiety/depression (70%), and only 13 (43%) had completed a sleep study. Overall, 37 per 100,000 had ICD codes that identified confirmed, probable, or possible ME/CFS. Rates increased between 2006 and 2017, with the largest absolute increase among those 30-39 years old. CONCLUSIONS: Using ICD diagnosis codes alone inaccurately estimates ME/CFS incidence.

Sociodemographic Factors, Health-Risk Behaviors, and Chronic Conditions Are Associated with a High Prevalence of Depressive Symptoms: Findings from the Indonesian Family Life Survey-5.

Depression is a significant public health challenge. However, limited research exists regarding the risk of sociodemographic factors, health-risk behavior, and chronic conditions in relation to the development of depression in Indonesia. This study assesses the prevalence of depressive symptoms in adolescents and adults, and identifies its potential associations with sociodemographic factors, health-risk behaviors, and chronic conditions. A national cross-sectional population-based survey was performed, using the Indonesian Family Life Survey (IFLS-5), to assess depressive symptoms in respondents aged 15 years and older. Depression was evaluated using the Center for Epidemiologic Studies-Depression (CES-D) scale, and potential associations with sociodemographic factors, health-risk behaviors, and chronic conditions were examined using logistic regression analysis. The study revealed a high prevalence of depressive symptoms, with the highest incidence observed in the age group of 25-34 years. Factors such as unmarried status, younger age, good physical activity, and having chronic conditions showed associations with depression. These findings have implications for developing public mental health strategies to reduce the prevalence of depression in Indonesia.

Prevalence and determinants of multiple chronic conditions (MCC) among young adults in Indian households: an analysis of NFHS-5.

BACKGROUND: Multiple chronic conditions (MCC) are defined as the presence of two or more chronic conditions, that significantly impact health status, functional capacity, quality of life, and overall healthcare management. Despite the significant evidence on chronic disease burden, the co-existence of MCC within a household in low- and middle-income countries (LMICs) is less studied. This study therefore estimates the prevalence of MCC and its determinants among adults in the Indian households. METHODS: Data used in this study were drawn from the fifth round of the National Family Health Survey (NFHS) conducted in 2019-21. Data sets of men (15-54 years) and women (15-49 years) were used for the study. The total sample size of adults for this analysis was N = 239,848. The outcome variable of this study was multiple chronic conditions (MCC) in adults which included a total of nine chronic conditions (hypertension, diabetes, chronic respiratory diseases, chronic kidney disorders, cancer, thyroid disorders, obesity, and heart diseases, consuming alcohol, chewing tobacco, and smoking) documented in NFHS-5. Descriptive statistics and binary logistic regression analysis were used to quantify the results. RESULTS: A prevalence of 5.5% of MCC in adults emerged from our study. Logistic regression analysis identified that younger age, males (AOR 0.36 (0.33-0.39)), urban areas (AOR 1.11 (1.02-1.17)) as the place of residence, and participants representing SC (AOR 0.89 (0.81-0.97)), and ST (AOR 1.30 (1.17-1.45)), had a higher risk of MCC irrespective of level of education, type of occupation, marital status, or wealth index, and states from any category of social progress. CONCLUSION: A 5% prevalence of MCC specifically obesity, substance use, and hypertension calls for integrated efforts aiming at behavior change, and regulatory efforts to prevent further increase of MCC among young adults in India.

Person-Centered Coordinated Care Experience of People With Long-Term Conditions in the Balearic Islands Measured by the P3CEQ.

Objective: This study aimed to use the Person-Centered Coordinated Care Experience Questionnaire (P3CEQ) to assess the experience of person-centered coordinated care among people with long-term conditions in the Balearic Islands, Spain. Methods: Over 1300 participants receiving treatment for chronic conditions or HIV pre-exposure prophylaxis were invited to complete the P3CEQ and a socio-demographic questionnaire, both administered electronically via the Naveta app. The P3CEQ assesses the key domains of the P3C through an 11-item questionnaire. Items 1, 2, 3, 4, 5, 8, 9 and 10 assess specifically person-centredness (PC subscale), while items 5, 6, 7, 8 and 9 measure care coordination (CC subscale; question 7 includes 4 sub-questions to specifically assess care plans). Descriptive statistics were used to summarize patient characteristics and P3CEQ items scores. Data analysis included chi-squared test of independence, Student's t-test and analysis of variance test. Pairwise comparisons were adjusted by Bonferroni correction. Results: The P3CEQ and a socio-demographic questionnaire were sent to 1313 individuals (651 men, 657 women, 5 'other gender'). A response rate of 35.34% was achieved, with 464 P3CEQ responders (223 men and 241 women). Significant differences in response rates were observed by age, smoking status, alcohol consumption, membership of patient organizations, and use of alternative medicine. Care planning was rated significantly lower than other measured domains. Women experienced less person-centered care than men (16.64 vs 17.91) and rated care coordination worse than their male counterparts (9.18 vs 10.23). There were also differences in scores between medical condition types, with cancer and inflammatory bowel disease patients rating highest for both person-centered care (21.20 and 19.13, respectively) and care coordination (10.70 vs 10.88, respectively). Patients with skin and rheumatic diseases rated lowest their experience of person-centered care. People with higher education and those employed or studying experienced better person-centeredness. Conclusion: Using the P3CEQ, we detected significant differences in the care experiences of people with chronic conditions, suggesting the need to address potential gender biases, social inequalities, and the poorer ratings observed for certain conditions in the study population.

Chronic fatigue syndrome post-COVID-19: triple-blind randomised clinical trial of Astragalus root extract.

OBJECTIVE: This study aimed to evaluate the effect of Astragalus root extract on nurses suffering from post-COVID-19 chronic fatigue syndrome. MATERIALS AND METHODS: The study was designed as a triple-blind, randomised, controlled trial in Iran in 2023. 64 chronic fatigue syndrome nurses were randomly assigned to one of two groups: an intervention group (n=32) that received Astragalus root extract (500 mg two times per day) or a control group (n=32) that received a placebo. Changes in chronic fatigue syndrome scores were measured before to, at the end of and 1 month after the intervention. Data were analysed using descriptive and analytical statistics (T-tests, χ2, analysis of variances, Cochran's Q tests, McNemar and generalised estimating equations). RESULTS: In comparison to before, chronic fatigue prevalence decreased statistically significantly at the end of the intervention group (13.8%) and 1 month later (17.2%). Further, the frequency differed between before and after (p=0.0001) and 1 month later (p=0.0001). In the control group, chronic fatigue was statistically significantly different before and after the intervention (72.2%; p=0.003). Having an underlying disease (B=0.84, OR=2.33; p=0.04) and being in the control group (B=2.15, OR=12.36; p=0.01) increased the risk of chronic fatigue, whereas increasing the length of time decreased it (B=-0.67, OR=0.50; p=0.0001). CONCLUSION: Astragalus root extract has been shown to reduce chronic fatigue in nurses. Therefore, this herbal extract can be used to reduce the incidence and treatment of chronic fatigue in nurses.

Thirty-second chair stand test in older adults with chronic health conditions is associated with lower limb oxygen extraction capacity.

BACKGROUND: The 30-s chair stand test (CS-30) is a well-known measure of muscle strength in older adults. However, factors other than muscle strength may also be involved in older adults with chronic health conditions who require support and care in daily living. PURPOSE: To test the hypothesis that the CS-30 in older adults with chronic health conditions is associated with lower limb muscle oxygen extraction capacity. METHODS: Twenty-seven older adults with chronic health conditions (those who needed support and care in daily living because of stroke, musculoskeletal disease, etc.) were recruited. Tissue and percutaneous oxygen saturations of the right vastus lateralis muscle were measured during CS-30 measurements, and muscle oxygen extraction rate (MOER) was calculated. Knee extension strength, skeletal muscle mass index (SMI), and phase angle (PhA) were measured. In a multiple regression analysis with CS-30 as the dependent variable, results were calculated for model 1 with SMI, PhA, and ΔMOER as independent variables and model 2 with knee extension muscle strength added to model 1. RESULTS: Phase angle (model 1, ß = 0.46, p = .014; model 2, ß = 0.46, p = .016) and ΔMOER (model 1, ß = 0.39, p = .032; model 2, ß = 0.40, p = .039) were significantly associated in both models. Adjusted R2 was 0.26 (Model 1) and 0.23 (Model 2). CONCLUSION: The CS-30 in older adults with chronic health conditions may be related to muscle oxygen extraction capacity. This indicates that CS-30 also considers lower limb endurance assessment in this population.