General population normative values for the EORTC QLQ-C30 by age, sex, and health condition for the French general population.

BACKGROUND: General population normative values for the widely used health-related quality of life (HRQoL) measure EORTC QLQ-C30 support the interpretation of trial results and HRQoL of patients in clinical practice. Here, we provide sex-, age- and health condition-specific normative values for the EORTC QLQ-C30 in the French general population. METHODS: French general population data was collected in an international EORTC project. Online panels with quota samples were used to recruit sex and age groups. Number and type of comorbidities were assessed. Descriptive statistics were used to calculate general population values for each QLQ-C30 scale, separately for sex, age, and presence of one- and more chronic health conditions. A multivariate linear regression model has been developed to allow estimating the effect of sex, age, and the presence for one- and more chronic health conditions on EORTC QLQ-C30 scores. Data was weighted according to United Nation statistics adjusting for the proportion of sex and age groups. RESULTS: In total, 1001 French respondents were included in our analyses. The weighted mean age was 47.9 years, 514 (51.3%) participants were women, and 497 (52.2%) participants reported at least one health condition. Men reported statistically significant better scores for Emotional Functioning (+9.6 points, p = 0.006) and Fatigue (-7.8 point; p = 0.04); women reported better profiles for Role Functioning (+8.7 points; p = 0.008) and Financial Difficulty (-7.8 points, p = 0.011). According to the regression model, the sex effect was statistically significant in eight scales; the effect of increasing age had a statistically significant effect on seven of the 15 EORTC QLQ-C30 scales. The sex- and age effect varied in its direction across the various scales. The presence of health conditions showed a strong negative effect on all scales. CONCLUSION: This is the first publication of detailed French normative values for the EORTC QLQ-C30. It aims to support the interpretation of HRQoL profiles in French cancer populations. The strong impact of health conditions on QLQ-C30 scores highlights the importance of considering the impact of comorbidities in cancer patients when interpreting HRQoL data.

Determinants of self-reported chronic disease diagnoses among older persons in South Africa.

BACKGROUND:  Chronic diseases tend to affect the quality of life for older persons worldwide, especially in resource-constrained developing countries. Chronic diseases contribute to a large number of deaths among the population of South Africa. AIM:  This study examines the determinants of self-reported chronic disease diagnoses among older persons in South Africa. SETTING:  The study setting was South Africa. METHODS:  Cross-sectional data from the 2019 South Africa General Household Survey were analysed (n [weighted] = 4 887 334). We fitted a binary logistic regression model to determine the relationship between socio-demographic factors and being diagnosed with self-reported chronic diseases. RESULTS:  We found that at least 5 in 10 older persons were diagnosed with self-reported chronic disease. The bivariate findings showed that age, population group, sex, marital status, level of education, disability status, household composition and province were significantly associated with self-reported chronic disease diagnoses. At the multivariate level, we found that age, sex, population group, marital status, educational level, disability status, household wealth status, household composition and province were key predictors of self-reported chronic disease diagnoses. CONCLUSION:  We found that various factors were key determinants of being diagnosed with self-reported chronic diseases. This study offers important insights into the main correlations between older adults and self-reported chronic illness diagnoses. More study is required on the health of the elderly as it will help direct policy discussions and improve the development of health policies about the elderly.Contribution: This study highlights the need for a better understanding of, and continued research into, the determinants health among older populations to guide future healthcare strategies.

Chronic Health Conditions and Longitudinal Employment in Survivors of Childhood Cancer.

Importance: Employment is an important factor in quality of life and provides social and economic support. Longitudinal data on employment and associations with chronic health conditions for adult survivors of childhood cancer are lacking. Objective: To evaluate longitudinal trends in employment among survivors of childhood cancer. Design, Setting, and Participants: Retrospective cohort study of 5-year cancer survivors diagnosed at age 20 years or younger between 1970 and 1986 enrolled in the multi-institutional Childhood Cancer Survivor Study (CCSS). Sex-stratified employment status at baseline (2002 to 2004) and follow-up (2014 to 2016) was compared with general population rates from the Behavioral Risk Factor Surveillance System cohort. Data were analyzed from July 2021 to June 2022. Exposures: Cancer therapy and preexisting and newly developed chronic health conditions. Main Outcomes and Measures: Standardized prevalence ratios of employment (full-time or part-time, health-related unemployment, unemployed, not in labor force) among adult (aged ≥25 years) survivors between baseline and follow-up compared with the general population. Longitudinal assessment of negative employment transitions (full-time to part-time or unemployed at follow-up). Results: Female participants (3076 participants at baseline; 2852 at follow-up) were a median (range) age of 33 (25-53) years at baseline and 42 (27-65) years at follow-up; male participants (3196 participants at baseline; 2557 at follow-up) were 33 (25-54) and 43 (28-64) years, respectively. The prevalence of full-time or part-time employment at baseline and follow-up was 2215 of 3076 (71.3%) and 1933 of 2852 (64.8%) for female participants and 2753 of 3196 (85.3%) and 2079 of 2557 (77.3%) for male participants, respectively, with declining standardized prevalence ratios over time (female participant baseline, 1.01; 95% CI, 0.98-1.03; follow-up, 0.94; 95% CI, 0.90-0.98; P < .001; male participant baseline, 0.96; 95% CI, 0.94-0.97; follow-up, 0.92; 95% CI, 0.89-0.95; P = .02). While the prevalence of health-related unemployment increased (female participants, 11.6% to 17.2%; male participants, 8.1% to 17.1%), the standardized prevalence ratio remained higher than the general population and declined over time (female participant baseline, 3.78; 95% CI, 3.37-4.23; follow-up, 2.23; 95% CI, 1.97-2.51; P < .001; male participant baseline, 3.12; 95% CI, 2.71-3.60; follow-up, 2.61; 95% CI, 2.24-3.03; P = .002). Among survivors employed full-time at baseline (1488 female participants; 1933 male participants), 285 female participants (19.2%) and 248 male participants (12.8%) experienced a negative employment transition (median [range] follow-up, 11.5 [9.4-13.8] years). Higher numbers and grades of chronic health conditions were significantly associated with these transitions. Conclusions and Relevance: In this retrospective analysis of adult survivors of childhood cancer, significant declines in employment and increases in health-related unemployment among cancer survivors compared with the general population were identified. A substantial portion of survivors in the midcareer age range fell out of the workforce. Awareness among clinicians, caregivers, and employers may facilitate clinical counseling and occupational provisions for supportive work accommodations.

Multimorbidity prevalence and health outcome prediction: assessing the impact of lookback periods, disease count, and definition criteria in health administrative data at the population-based level.

BACKGROUND: Health administrative databases play a crucial role in population-level multimorbidity surveillance. Determining the appropriate retrospective or lookback period (LP) for observing prevalent and newly diagnosed diseases in administrative data presents challenge in estimating multimorbidity prevalence and predicting health outcome. The aim of this population-based study was to assess the impact of LP on multimorbidity prevalence and health outcomes prediction across three multimorbidity definitions, three lists of diseases used for multimorbidity assessment, and six health outcomes. METHODS: We conducted a population-based study including all individuals ages > 65 years on April 1st, 2019, in Québec, Canada. We considered three lists of diseases labeled according to the number of chronic conditions it considered: (1) L60 included 60 chronic conditions from the International Classification of Diseases (ICD); (2) L20 included a core of 20 chronic conditions; and (3) L31 included 31 chronic conditions from the Charlson and Elixhauser indices. For each list, we: (1) measured multimorbidity prevalence for three multimorbidity definitions (at least two [MM2+], three [MM3+] or four (MM4+) chronic conditions); and (2) evaluated capacity (c-statistic) to predict 1-year outcomes (mortality, hospitalisation, polypharmacy, and general practitioner, specialist, or emergency department visits) using LPs ranging from 1 to 20 years. RESULTS: Increase in multimorbidity prevalence decelerated after 5-10 years (e.g., MM2+, L31: LP = 1y: 14%, LP = 10y: 58%, LP = 20y: 69%). Within the 5-10 years LP range, predictive performance was better for L20 than L60 (e.g., LP = 7y, mortality, MM3+: L20 [0.798;95%CI:0.797-0.800] vs. L60 [0.779; 95%CI:0.777-0.781]) and typically better for MM3 + and MM4 + definitions (e.g., LP = 7y, mortality, L60: MM4+ [0.788;95%CI:0.786-0.790] vs. MM2+ [0.768;95%CI:0.766-0.770]). CONCLUSIONS: In our databases, ten years of data was required for stable estimation of multimorbidity prevalence. Within that range, the L20 and multimorbidity definitions MM3 + or MM4 + reached maximal predictive performance.

Homeownership Matters: Impact of Homeownership on the Prevalence of Chronic Health Conditions in the United States.

Introduction: Homeownership is crucial for stability and healthy life. We examined the role of homeownership in predicting the prevalence of common chronic health conditions in the United States. Methods: We used 2020 Behavioral Risk Factor Surveillance System data (N = 401,958) to assess the association between homeownership and self-reported diagnosed diabetes, asthma, cancer, coronary heart disease (CHD), stroke, and kidney disease. We analyzed data by using logistic regression, adjusting for age, sex, race and ethnicity, education, employment, and income and computed odds ratios (ORs) and corresponding 95% CIs. Results: Most survey participants (66.8%) owned their residences. Age, marital status, education, and income significantly influenced homeownership. Odds of homeownership progressively increased with age, reaching a peak at 17.45 (95% CI, 16.21-18.79) for adults aged 65 years or older, and non-Hispanic White adults had the highest odds (OR = 3.34; 95% CI, 3.18-3.52). Compared with renters, homeowners generally had lower prevalence of chronic health conditions, especially among those aged 45 to 64 years. After adjusting for age, sex, and race and ethnicity, the odds of having chronic health conditions among renters were higher than those of homeowners: CHD, 1.39 (1.27-1.52); diabetes, 1.27 (1.20-1.35); asthma, 1.29 (1.23-1.36); stroke, 1.89 (1.71-2.09); and kidney disease, 1.59 (1.44-1.77). Conclusion: Homeownership can be used to predict the prevalence of several chronic health conditions. Considering its significant influence, public health initiatives should focus on housing-related interventions to improve population health.

Biomarker signatures associated with ageing free of major chronic diseases: results from a population-based sample of the EPIC-Potsdam cohort.

BACKGROUND: A number of biomarkers denoting various pathophysiological pathways have been implicated in the aetiology and risk of age-related diseases. Hence, the combined impact of multiple biomarkers in relation to ageing free of major chronic diseases, such as cancer, cardiovascular disease and type 2 diabetes, has not been sufficiently explored. METHODS: We measured concentrations of 13 biomarkers in a random subcohort of 2,500 participants in the European Prospective Investigation into Cancer and Nutrition Potsdam study. Chronic disease-free ageing was defined as reaching the age of 70 years within study follow-up without major chronic diseases, including cardiovascular disease, type 2 diabetes or cancer. Using a novel machine-learning technique, we aimed to identify biomarker clusters and explore their association with chronic disease-free ageing in multivariable-adjusted logistic regression analysis taking socio-demographic, lifestyle and anthropometric factors into account. RESULTS: Of the participants who reached the age of 70 years, 321 met our criteria for chronic-disease free ageing. Machine learning analysis identified three distinct biomarker clusters, among which a signature characterised by high concentrations of high-density lipoprotein cholesterol, adiponectin and insulin-like growth factor-binding protein 2 and low concentrations of triglycerides was associated with highest odds for ageing free of major chronic diseases. After multivariable adjustment, the association was attenuated by socio-demographic, lifestyle and adiposity indicators, pointing to the relative importance of these factors as determinants of healthy ageing. CONCLUSION: These data underline the importance of exploring combinations of biomarkers rather than single molecules in understanding complex biological pathways underpinning healthy ageing.

Social determinants of health and emergency department visits among older adults with multimorbidity: insight from 2010 to 2018 National Health Interview Survey.

BACKGROUND: Multimorbidity is prevalent among older adults and is associated with adverse health outcomes, including high emergency department (ED) utilization. Social determinants of health (SDoH) are associated with many health outcomes, but the association between SDoH and ED visits among older adults with multimorbidity has received limited attention. This study aimed to examine the association between SDoH and ED visits among older adults with multimorbidity. METHODS: A cross-sectional analysis was conducted among 28,917 adults aged 50 years and older from the 2010 to 2018 National Health Interview Survey. Multimorbidity was defined as the presence of two or more self-reported diseases among 10 common chronic conditions, including diabetes, hypertension, asthma, stroke, cancer, arthritis, chronic obstructive pulmonary disease, and heart, kidney, and liver diseases. The SDoH assessed included race/ethnicity, education level, poverty income ratio, marital status, employment status, insurance status, region of residence, and having a usual place for medical care. Logistic regression models were used to examine the association between SDoH and one or more ED visits. RESULTS: Participants' mean (± SD) age was 68.04 (± 10.66) years, and 56.82% were female. After adjusting for age, sex, and the number of chronic conditions in the logistic regression model, high school or less education (adjusted odds ratio [AOR]: 1.10, 95% confidence interval [CI]: 1.02-1.19), poverty income ratio below the federal poverty level (AOR: 1.44, 95% CI: 1.31-1.59), unmarried (AOR: 1.19, 95% CI: 1.11-1.28), unemployed status (AOR: 1.33, 95% CI: 1.23-1.44), and having a usual place for medical care (AOR: 1.46, 95% CI 1.18-1.80) was significantly associated with having one or more ED visits. Non-Hispanic Black individuals had higher odds (AOR: 1.28, 95% CI: 1.19-1.38), while non-Hispanic Asian individuals had lower odds (AOR: 0.71, 95% CI: 0.59-0.86) of one or more ED visits than non-Hispanic White individuals. CONCLUSION: SDoH factors are associated with ED visits among older adults with multimorbidity. Systematic multidisciplinary team approaches are needed to address social disparities affecting not only multimorbidity prevalence but also health-seeking behaviors and emergent healthcare access.

Correlational analysis of sarcopenia and multimorbidity among older inpatients.

BACKGROUND: Sarcopenia and multimorbidity are common in older adults, and most of the available clinical studies have focused on the relationship between specialist disorders and sarcopenia, whereas fewer studies have been conducted on the relationship between sarcopenia and multimorbidity. We therefore wished to explore the relationship between the two. METHODS: The study subjects were older patients (aged ≥ 65 years) who were hospitalized at the Department of Geriatrics of the First Affiliated Hospital of Chongqing Medical University between March 2016 and September 2021. Their medical records were collected. Based on the diagnostic criteria of the Asian Sarcopenia Working Group in 2019, the relationship between sarcopenia and multimorbidity was elucidated. RESULTS: 1.A total of 651 older patients aged 65 years and above with 2 or more chronic diseases were investigated in this study, 46.4% were suffering from sarcopenia. 2. Analysis of the relationship between the number of chronic diseases and sarcopenia yielded that the risk of sarcopenia with 4-5 chronic diseases was 1.80 times higher than the risk of 2-3 chronic diseases (OR 1.80, 95%CI 0.29-2.50), and the risk of sarcopenia with ≥ 6 chronic diseases was 5.11 times higher than the risk of 2-3 chronic diseases (OR 5.11, 95% CI 2.97-9.08), which remained statistically significant, after adjusting for relevant factors. 3. The Charlson comorbidity index was associated with skeletal muscle mass index, handgrip strength, and 6-meter walking speed, with scores reaching 5 and above suggesting the possibility of sarcopenia. 4. After adjusting for some covariates among 14 common chronic diseases in older adults, diabetes (OR 3.20, 95% CI 2.01-5.09), cerebrovascular diseases (OR 2.07, 95% CI 1.33-3.22), bone and joint diseases (OR 2.04, 95% CI 1.32-3.14), and malignant tumors (OR 2.65, 95% CI 1.17-6.55) were among those that still a risk factor for the development of sarcopenia. CONCLUSION: In the hospitalized older adults, the more chronic diseases they have, the higher the prevalence of sarcopenia. When the CCI is 5, attention needs to be paid to the occurrence of sarcopenia in hospitalized older adults.

Exposure to Holocaust is associated with chronic morbidity in older adults-Results from national health and nutrition surveys.

BACKGROUND: Although studies have suggested that Holocaust survivors are more likely than their non-Holocaust-exposed counterparts to suffer from mental and chronic morbidity, methodology differences and potential confounders often compromise result replicability and external validity. We examined associations between Holocaust exposure and chronic morbidity, as well as overall risk of mortality. METHODS: Sociodemographic, health-related behavior and nutritional-intake data from two representative National Health and Nutrition Survey Ages 65 and Over-the 2005-2006 MABAT ZAHAV 1 (MZ1) and the 2014-2015 MZ2, including face-to-face interviews and anthropometric measurements-were analyzed. Demographic, health, nutritional and lifestyle characteristics, and exposure to the Holocaust were self-reported. Longitudinal data on overall mortality were obtained by linking the MZ1 population to the population registry dataset. Associations between Holocaust exposure and prevalence of chronic morbidity and risk factors were estimated by multivariable logistic regression analyses, and to risk of overall mortality by Cox regression analysis, both adjusted to significant covariates. RESULTS: Among 2096 study participants aged 75.7 ± 6.1 years, 47.0% male, 518 were Holocaust survivors. In the fully adjusted model, Holocaust exposure was associated with increased prevalence of heart disease (odds ratio [OR] 1.40, 95% confidence interval [CI] 1.07-1.83), metabolic syndrome (OR 2.28, CI 1.23-4.21), and stroke (OR 1.77, CI 1.17-2.69), but not cancer or osteoporosis. Holocaust exposure did not substantially affect the overall risk of mortality (hazard ratio 1.10, CI 0.92-1.32). CONCLUSIONS: Further research is needed to understand the mechanisms governing long-term outcomes of exposure to acute physical or mental trauma.

Health-related quality of life among cancer survivors: pre-existing chronic conditions are to be given priority.

PURPOSE: This study aimed to describe the health-related quality of life (HRQoL) of cancer survivors in China by the five-level EuroQol-5-dimension (EQ-5D-5L) questionnaire and to explore the impact of the comorbidity of pre-existing chronic conditions on HRQoL in cancer survivors. METHODS: Data on cancer survivors were obtained from two cross-sectional surveys conducted in Shandong Province, China. The data of the Chinese general population, the Chinese diabetes population, the Chinese hypertension population, and the Chinese urban population from the published studies were used as the controls. The χ2 test was conducted to compare the incidence of five-dimensional problems between the study and control populations. The non-parametric Mann-Whitney U test and Kruskal-Wallis test were performed to examine the differences in EQ-5D-5L utility scores. Besides, the Tobit regression model was used to examine the variables influencing the EQ-5D-5L utility score. RESULTS: One thousand fifty-one adult cancer survivors were included. Cancer survivors had significantly lower EQ-5D-5L utility scores (Z = - 15.939, P < 0.001) and EQ-VAS scores (Z = - 11.156, P < 0.001) than the general adult population. The average EQ-5D-5L utility score of hypertensive cancer survivors was lower than that of the hypertensive population (Z = - 1.610, P = 0.107), but the difference was not statistically significant. CONCLUSION: Compared to the general population, the HRQoL of cancer survivors was extremely poor in all dimensions of the EQ-5D-5L. Pre-existing chronic conditions had significant antecedent effects on the HRQoL of cancer survivors. Therefore, more attention should be paid to chronic diseases, and effective interventions should be adopted based on this.

Internações por condições sensíveis à atenção primária à saúde: associação com a cobertura da atenção primária, 2015 ­ 2021 / Hospitalization for sensitive conditions in primary care: association with primary health care support, 2015-2021 / Hospitalizaciones por afecciones sensibles a la atención primaria: asociación con la cobertura de atención primaria, 2015 ­ 2021

Objetivo: Avaliar as tendências e associações relacionadas as coberturas e internações por condições sensíveis à atenção primária à saúde no município de Fortaleza/Ceará/Brasil, no período de 2015 a 2021. Métodos: Estudo transversal com dados secundários (Sistema de Informações Hospitalares do Sistema Único de Saúde, E- gestor atenção básica e o Instituto Brasileiro de Geografia e Estatística). Utilizou-se o coeficiente de correlação de Pearson para as associações. Resultados: Foram registrados 176.330 internações por condições sensíveis, totalizando 8 principais, correspondendo a 78.5% do total. Obteve-se correlação inversa significativa entre a cobertura de atenção primária e internações por condições sensíveis: r=-0.86, (IC95%: -0.91/-0.61); p<0.001, bem como uma correlação moderada com cobertura de agente comunitário e internações (r=-0.59 (IC95%: -0.68/-0.54); p<0.001) Conclusão: O aumento das internações por condições sensíveis está diretamente relacionado com a cobertura da atenção primária. Além disso, enfrenta-se uma dupla carga de doenças, coexistindo as doenças infecciosas/parasitárias em concomitância com as crônicas.

Objective: To assess trends and associations related to coverage and hospitalizations for conditions sensitive to primary health care in the city of Fortaleza/Ceará/Brazil, from 2015 to 2021. Methods: Cross-sectional study with secondary data (Hospital Information System of the National Unified Health System, E- manager for primary care and the Brazilian Institute of Geography and Statistics). Pearson's correlation coefficient was used to measure associations. Results: 176,330 hospitalizations for sensitive conditions were recorded, totaling 8 main ones, corresponding to 78.5% of the total. A significant inverse correlation was obtained between primary care coverage and hospitalizations for sensitive conditions: r=-0.86, (95%CI: -0.91/-0.61); p<0.001, as well as a moderate correlation with community agent coverage and hospitalizations (r=-0.59 (95%CI: -0.68/-0.54); p<0.001) Conclusion: The increase in hospitalizations for sensitive conditions is directly associated to the primary care coverage. In addition, there is a double burden of disease, with infectious/parasitic diseases coexisting with chronic ones.

Evaluar las tendencias y asociaciones relacionadas con la cobertura y hospitalizaciones por condiciones sensibles a la atención primaria de salud en la ciudad de Fortaleza/Ceará/Brasil de 2015 a 2021. Métodos: Estudio transversal con datos secundarios (Sistema de Informações Hospitalares do Sistema Único de Saúde, E-gestor atenção básica e Instituto Brasileiro de Geografia e Estatística). Se utilizó el coeficiente de correlación de Pearson para las asociaciones. Resultados: Hubo 176.330 hospitalizaciones por condiciones sensibles, totalizando 8 condiciones principales, correspondiendo a 78,5% del total. Se obtuvo una correlación inversa significativa entre la cobertura de atención primaria y las hospitalizaciones por afecciones sensibles: r=- 0,86, (IC 95%: -0,91/-0,61); p<0,001, así como una correlación moderada con la cobertura de agentes comunitarios y las hospitalizaciones (r=-0,59 (IC 95%: -0,68/-0,54); p<0,001) Conclusión: El aumento de las hospitalizaciones por afecciones sensibles está directamente relacionado con la cobertura de atención primaria. Además, se enfrenta a una doble carga de enfermedad, coexistiendo enfermedades infecciosas/parasitarias en concomitancia con enfermedades crónicas.

Prevalencia de enfermedades crónicas no transmisibles en las personas privadas de la libertad en Costa Rica / Prevalence of chronic noncommunicable diseases in persons deprived of liberty in Costa Rica

Mediante un estudio cuantitativo, descriptivo y de corte transversal se realiza una comparación entre la población penal de la Unidad de Atención Integral (UAI) 20 de diciembre y la población penal total costarricense. Hasta no hace mucho tiempo, en el ámbito penitenciario se ha experimentado un cambio importante en la morbimortalidad de las personas privadas de la libertad, pasando de un modelo casi unicausal de origen infeccioso, a procesos de etiología múltiple, con desarrollo poco predecible y alto porcentaje del gasto público sanitario. En el siguiente estudio se determina la similitud existente en prevalencia de enfermedades crónicas no trasmisibles tanto a nivel país, sistema penitenciario nacional y UAI 20 de diciembre.

Through a quantitative, descriptive and cross-sectional study, a comparison is made between the prison population of the Unidad de Atención Integral (UAI) 20 de diciembre and the total Costa Rican prison population. Until recently, there has been an important change in the morbimortality of persons deprived of liberty in the penitentiary environment, going from an almost unicausal model of infectious origin, to processes of multiple etiology, with little predictable development and a high percentage of public health expenditure. The following study determines the existing similarity in the prevalence of chronic non-communicable diseases at the country level, the national prison system and the UAI December 20.

Examining neighbourhood-level disparities in Black, Latina/o, Asian, and White physical health, mental health, chronic conditions, and social disadvantage in California.

Racial/ethnic minority individuals in the U.S. experience numerous health disparities versus Whites, often due to differences in social determinants. Yet, limited large-scale research has examined these differences at the neighbourhood level. We merged 2021 PLACES Project and 2020 American Community Survey data across 3,211 census tracts (neighbourhoods) defined as majority (>50%) Black, Latina/o, Asian or White. T-tests and hierarchical linear regressions were used to examine differences and associations between neighbourhoods on key health (general health, mental health, obesity, diabetes, cancer, coronary heart disease, chronic obstructive pulmonary disease, stroke), and social outcomes (income, unemployment, age, population density). Results indicated that minority neighbourhoods in California exhibited stark health and social disparities versus White neighbourhoods, displaying worse outcomes on nearly every social and health variable/condition examined; particularly for Black and Latina/o neighbourhoods. Moreover, regression findings revealed that, after considering income, unemployment, and population density, (1) fair/poor mental health and higher percentages of Black, Latina/o and Asian residents in neighbourhoods independently associated with greater neighbourhood fair/poor physical health, and (2) fair/poor mental health significantly associated with greater prevalence of obesity and COPD. This study thus underscores the need to address the profound health and social disparities experienced by minority neighbourhoods for more equitable neighbourhoods.

The Impact of Multimorbidity on All-Cause Mortality: A Longitudinal Study of 87,151 Thai Adults.

Objectives: To investigate associations between multimorbidity, socio-demographic and health behaviour factors, and their interactions (multimorbidity and these factors) with all-cause mortality among Thai adults. Methods: Associations between multimorbidity (coexistence of two + chronic diseases) and mortality between 2005 and 2019 were investigated among Thai Cohort Study (TCS) participants (n = 87,151). Kaplan-Meier survival curves estimated and compared survival times. Multivariate Cox proportional hazards models examined associations between risk factors, and interactions between multimorbidity, these factors, and survival. Results: 1,958 cohort members died between 2005 and 2019. The risk of death was 43% higher for multimorbid people. In multivariate Cox proportional hazard models, multimorbidity/number of chronic conditions, age, long sleep duration, smoking and drinking were all independent factors that increased mortality risk. Women, urbanizers, university education, over 20,000-baht personal monthly income and soybean products consumption lowered risk. The interactions between multimorbidity and these variables (except for female, urbanizers and soybeans intake) also had significant (p < 0.05) impact on all-cause mortality. Conclusion: The results emphasise the importance of healthy lifestyle and reduced intake of alcohol and tobacco, in reducing premature mortality, especially when suffering from multimorbidity.

Effect of chronic disease on racial difference in COVID-19-associated hospitalization among cancer patients.

BACKGROUND: Research indicates that Black cancer patients have higher rates of COVID-19 hospitalization than their White counterparts. However, the extent to which chronic diseases contribute to racial disparities remains uncertain. We aimed to quantify the effect of chronic diseases on racial disparity in COVID-19-associated hospitalization among cancer patients. METHODS: We linked Louisiana Tumor Registry's data with statewide COVID-19 data and hospital in-patient discharge data to identify patients diagnosed with cancer in 2015-2019 who tested positive for COVID-19 in 2020 and those with COVID-19-associated hospitalization. Multivariable logistic regression and mediation methods based on linear structural equations were employed to assess the effects of the number of chronic diseases (0, 1-2, ≥3) and individual chronic diseases. RESULTS: Of 6381 cancer patients who tested positive for COVID-19, 31.6% were non-Hispanic Black cancer patients. Compared with non-Hispanic White cancer patients, non-Hispanic Black cancer patients had a higher prevalence of chronic diseases (79.5% vs 66.0%) and higher COVID-19-associated hospitalization (27.2% vs 17.2%). The odds of COVID-19-associated hospitalization were 80% higher for non-Hispanic Black cancer patients than non-Hispanic White cancer patients (odds ratio = 1.80, 95% confidence interval = 1.59 to 2.04). After adjusting for age, sex, insurance, poverty, obesity, and cancer type, number of chronic diseases explained 37.8% of the racial disparity in COVID-19-associated hospitalization, and hypertension, diabetes, and chronic renal disease were the top 3 chronic diseases explaining 9.6%, 8.9%, and 7.3% of the racial disparity, respectively. CONCLUSION: Chronic diseases played a substantial role in the racial disparity in COVID-19-associated hospitalization among cancer patients, especially hypertension, diabetes, and renal disease. Understanding and addressing the root causes are crucial for targeted interventions, policies, and health-care strategies to reduce racial disparity.

Lifestyle factors related to prevalent chronic disease multimorbidity: A population-based cross-sectional study.

BACKGROUND: Multimorbidity is associated with poor quality of life, polypharmacy, health care costs and mortality, with those affected potentially benefitting from a healthy lifestyle. We assessed a comprehensive set of lifestyle factors in relation to multimorbidity with major chronic diseases. METHODS: This cross-sectional study utilised baseline data for adults from the prospective Lifelines Cohort in the north of the Netherlands (N = 79,345). We defined multimorbidity as the co-existence of two or more chronic diseases (i.e. cardiovascular disease, cancer, respiratory disease, type 2 diabetes) and evaluated factors in six lifestyle domains (nutrition, physical (in)activity, substance abuse, sleep, stress, relationships) among groups by the number of chronic diseases (≥2, 1, 0). Multinomial logistic regression models were created, adjusted for appropriate confounders, and odds ratios (OR) with 95% confidence intervals (95%CI) were reported. RESULTS: 3,712 participants had multimorbidity (4.7%, age 53.5 ± 12.5 years), and this group tended to have less healthy lifestyles. Compared to those without chronic diseases, those with multimorbidity reported physical inactivity more often (OR, 1.15; 95%CI, 1.06-1.25; not significant for one condition), chronic stress (OR, 2.14; 95%CI, 1.92-2.38) and inadequate sleep (OR, 1.70; 95%CI, 1.41-2.06); as expected, they more often watched television (OR, 1.70; 95%CI, 1.42-2.04) and currently smoked (OR, 1.91; 95%CI, 1.73-2.11), but they also had lower alcohol intakes (OR, 0.66; 95%CI, 0.59-0.74). CONCLUSIONS: Chronic stress and poor sleep, in addition to physical inactivity and smoking, are lifestyle factors of great concern in patients with multimorbidity.

Risky drinking and other drug use in adults with chronic conditions in the United States: differential associations by race/ethnicity.

Co-use of multiple drugs may prolong or increase heavy drinking, even for individuals with health conditions adversely affected by it. Patterns of alcohol and drug use may vary across racial/ethnic groups, with differential implications for health. This study examines racial/ethnic differences in the associations between risky drinking and other drug use in adults with diabetes, hypertension, heart disease, or cancer. Multiple logistic regression modeling, stratified by condition, was performed using a nationally representative sample of adults drawn from the 2015 to 2019 National Survey on Drug and Health. The outcome was risky drinking (consuming more than 7/14 drinks weekly). Other drugs considered were tobacco, marijuana, illicit drugs, and non-medical prescription drugs. Covariates included age, sex, education, income, marital/cohabitation status, health insurance coverage, and self-rated health status. Each drug category was positively associated with risky drinking across all four conditions. Racial/ethnic minority adults were less likely than White adults to engage in risky drinking, with this pattern most consistent for those with hypertension. Other drug use in minority adults (i.e. tobacco and illicit drug use in Black and Hispanic adults, and marijuana and prescription drug use in Asian adults) was associated with disproportionately greater odds of risky drinking compared with White adults. This pattern was more prominent for those with a heart condition, and not found for those with cancer. Future interventions might address co-use of alcohol and other drugs in adults with chronic conditions, with special attention to racial/ethnic minority adults.

Social Participation and Persistent Smoking Among Older Chinese With Smoking-Related Morbidity.

OBJECTIVES: Chronic diseases are common in midlife and old age and smoking can pose more health and longevity challenges for older people with chronic illnesses. In China where smoking is highly prevalent, older adults are likely to continue smoking even after developing severe chronic diseases. We examined the national prevalence of persistent smoking among older adults. We also investigated the sociodemographic characteristics of persistent smoking among ever-smokers with chronic diseases and its association with social participation (of various types). METHODS: We used data from a nationally representative sample of older adults aged 45-80 in the China Health and Retirement Longitudinal Study (2011-2018). Multinomial logistic and multilevel logistic models were fitted. RESULTS: The national prevalence of persistent smoking was around 24% of older men and 3% of older women. Among those with a history of smoking and chronic illness, younger, nonmarried/partnered, nonretired, or less educated individuals are more likely to continue smoking. Social participation is significantly associated with persistent smoking among those with chronic diseases, but the association differs across different forms of activities. Although the most popular but sedentary activities in China (playing Mahjong, chess, or cards) are associated with an elevated risk of persistent smoking, physical social activities (community-organized dancing, fitness, and qigong) are associated with a reduced risk of persistent smoking. DISCUSSION: Given the enormous burden of persistent smoking on individuals and society, public smoking cessation inventions should address sociocultural factors of persistent smoking and target older adults who participate in specific social activities.

Cluster de doenças crônicas não transmissíveis e multimorbidade em trabalhadores da atençãoprimária à saúde / Cluster of chronic non-communicable diseases and multimorbidity in primary healthcare workers

Objetivo: Investigar a agregação das DCNT e a sua associação com as características sociodemográficas e os aspectos ocupacionais dos trabalhadores da APS. Métodos: Tratou-se de um estudo epidemiológico transversal que analisou os dados parciais de uma coorte retrospectiva realizada em Vitória da Conquista (BA) e em São Geraldo da Piedade (MG) no mês de janeiro de 2022 com 105 trabalhadores da Estratégia Saúde da Família (ESF), que preencheram um questionário eletrônico específico autoaplicável. As variáveis analisadas foram: sociodemográficas, caracterização do trabalho, presença de DCNT e de multimorbidade. Foram aplicados os seguintes procedimentos estatísticos: análise descritiva, análise de cluster, teste de qui-quadrado de Pearson e regressão logística binária. Resultados:As cinco DCNT mais prevalentes foram a rinite/sinusite (30,5%), a cefaleia/enxaqueca (26,7%), o colesterol alto (26,7%), a gastrite (19,0%) e a hipertensão arterial sistêmica (19,0%). A prevalência de multimorbidade foi de 26,7% e foram encontradas 11 combinações de cluster (34,4%), sendo o maior escore na combinação das cinco doenças mais prevalentes. Foi identificada a associação entre a presença de multimorbidade e o sexo, sendo a prevalência 24% menor entre os homens, e com a escolaridade, sendo a prevalência 26% maior nos indivíduos que não possuem ensino superior. Conclusão: Foram identificadas associações entre a presença de multimorbidade e o sexo feminino, e indivíduos que não concluíram o ensino superior. Observou-se, ainda, uma associação simultânea das cinco principais DCNT deste estudo com o nível de escolaridade (AU).

Objectives: Investigate the aggregation of NCDs and their association with sociodemographic characteristics and occupational aspects in primary healthcare workers. Methods: A cross-sectional study analyzed partial data from a cohort profile conducted in Vitória da Conquista (BA) and in São Geraldo da Piedade (MG) in January 2022 with 105 workers of "Estratégia de Saúde da Família (ESF)" who answered a self-report electronic questionnaire. The variables of this research were: sociodemographic characteristics, job aspects, and the presence of NCDs and multimorbidity. Data were analyzed with descriptive statistics, cluster analysis, chi-square test, and binary logistic regression. Results: The five NCDs more prevalent were: rhinitis/sinusitis (30,5%), headache/migraine (26,7%), hypercholesterolemia (26,7%), gastritis (19,0%), and hypertension (19,0%). The prevalence of multimorbidity was 26,7%, and 11 cluster combinations were found (34,4%) since the higher score was identified in the aggregation of the five more prevalent diseases. There was an association between the presence of multimorbidity and the sex (the prevalence is 24% smaller for men) and between the presence of multimorbidity and the level of education (the prevalence is 26% higher in people without a college degree). Conclusion: The prevalence of multimorbidity was associated with the female sex and with people without a college degree. Furthermore, an association was observed between the five more prevalent NCDs in this study and the level of education (AU).

Comorbidities in the COVID-19 Pandemic: Scopus-Based Bibliometric Analysis.

BACKGROUND: Comorbidities attract enormous attention amid the coronavirus disease 2019 (COVID-19) pandemic. Mapping knowledge based on these clinical conditions is increasingly important since the pandemic is still raging and primarily affecting subjects with chronic diseases and comorbidities. Clinical presentation and complications of COVID-19 are still hot topics which are explored in numerous evidence-based publications. The aim of this study was to analyze Scopus-indexed COVID-19 papers covering comorbidities. METHODS: Searches through the Scopus database were performed on September 19, 2022 using the following keywords: "Diabetes mellitus" OR "Cardiovascular Diseases" OR "Rheumatic Diseases" OR "Obesity" OR "Malignancies" AND "COVID-19." All retrieved articles were analyzed using the following categories: document type, authorship, keywords, journal, citation score, country of origin, and language. Using the software tool VOSviewer version 1.6.18, we visualized the network of authors and keywords co-occurrence of the most prevalent comorbidities reported in connection with COVID-19. RESULTS: Reports on COVID-19 and diabetes mellitus (DM) were most frequently published (n = 12,282). The US was the most productive country (n = 3,005) in the field of COVID-19 and comorbidities. There were 1,314 documents on COVID-19 and rheumatic diseases which is the least number in comparison with other comorbidities (COVID-19 and DM: 12,282, COVID-19 and cardiovascular disease: 9,911, COVID-19 and obesity: 7,070, and COVID-19 and malignancies: 1,758). CONCLUSION: This mapping of COVID-19-related documents in connection with comorbidities may prioritize future research directions.