A computational framework of routine test data for the cost-effective chronic disease prediction.

Chronic diseases, because of insidious onset and long latent period, have become the major global disease burden. However, the current chronic disease diagnosis methods based on genetic markers or imaging analysis are challenging to promote completely due to high costs and cannot reach universality and popularization. This study analyzed massive data from routine blood and biochemical test of 32 448 patients and developed a novel framework for cost-effective chronic disease prediction with high accuracy (AUC 87.32%). Based on the best-performing XGBoost algorithm, 20 classification models were further constructed for 17 types of chronic diseases, including 9 types of cancers, 5 types of cardiovascular diseases and 3 types of mental illness. The highest accuracy of the model was 90.13% for cardia cancer, and the lowest was 76.38% for rectal cancer. The model interpretation with the SHAP algorithm showed that CREA, R-CV, GLU and NEUT% might be important indices to identify the most chronic diseases. PDW and R-CV are also discovered to be crucial indices in classifying the three types of chronic diseases (cardiovascular disease, cancer and mental illness). In addition, R-CV has a higher specificity for cancer, ALP for cardiovascular disease and GLU for mental illness. The association between chronic diseases was further revealed. At last, we build a user-friendly explainable machine-learning-based clinical decision support system (DisPioneer: http://bioinfor.imu.edu.cn/dispioneer) to assist in predicting, classifying and treating chronic diseases. This cost-effective work with simple blood tests will benefit more people and motivate clinical implementation and further investigation of chronic diseases prevention and surveillance program.

Gestational diabetes mellitus is associated with greater incidence of dementia during long-term post-partum follow-up.

BACKGROUND: The impact of gestational diabetes mellitus (GDM) on incident dementia is unknown. Our aim was to evaluate the relationship between GDM and all-cause dementia and the mediating effects of chronic diseases on this relationship. METHODS: This prospective cohort study included women from the UK Biobank who were grouped based on GDM history. Multivariate Cox proportional hazard models were used to explore the associations between GDM and dementia. We further analysed the mediating effects of chronic diseases on this relationship and the interactions of covariates. RESULTS: A total of 1292 women with and 204,171 women without a history of GDM were included. During a median follow-up period of 45 years after first birth, 2921 women were diagnosed with dementia. Women with a GDM history had a 67% increased risk of incident dementia (hazard ratio 1.67, 95% confidence interval: 1.03-2.69) compared with those without a GDM history. According to mediation analyses, type 2 diabetes, coronary heart disease, chronic kidney disease and comorbidities (diagnosed with any two of the three diseases) explained 34.5%, 8.4%, 5.2% and 18.8% of the mediating effect on the relationship. Subgroup analyses revealed that physical activity modified the association between GDM history and dementia (p for interaction = 0.030). Among physically inactive women, GDM was significantly associated with incident dementia; however, this association was not observed among physically active women. CONCLUSIONS: A history of GDM was associated with a greater risk of incident dementia. Type 2 diabetes partially mediated this relationship. Strategies for dementia prevention might be considered for women with a history of GDM.

Challenges and Opportunities for Paving the Road to Global Health Equity Through Implementation Science.

Implementation science focuses on enhancing the widespread uptake of evidence-based interventions into routine practice to improve population health. However, optimizing implementation science to promote health equity in domestic and global resource-limited settings requires considering historical and sociopolitical processes (e.g., colonization, structural racism) and centering in local sociocultural and indigenous cultures and values. This review weaves together principles of decolonization and antiracism to inform critical and reflexive perspectives on partnerships that incorporate a focus on implementation science, with the goal of making progress toward global health equity. From an implementation science perspective, wesynthesize examples of public health evidence-based interventions, strategies, and outcomes applied in global settings that are promising for health equity, alongside a critical examination of partnerships, context, and frameworks operationalized in these studies. We conclude with key future directions to optimize the application of implementation science with a justice orientation to promote global health equity.

Links between three chronic and age-related diseases, osteoarthritis, periodontitis, and osteoporosis, in a wild mammal (moose) population.

OBJECTIVE: Osteoarthritis, periodontitis and osteoporosis are chronic, age-related diseases which adversely impact millions of people worldwide. Because these diseases pose a major global public health challenge, there is an urgent need to better understand how these diseases are interrelated. Our objective was to document the age and sex-specific prevalence of each disease and assess interrelationships among the three diseases in a wild mammal (moose, Alces alces) population. METHODS: We examined the bones of moose dying from natural causes and recorded the severity of osteoarthritis (typically observed on the hip and lowest vertebrae), osteoporosis (osteoporotic lesions observed on the skull) and periodontitis (observed on maxilla and mandibles). RESULTS: Periodontitis was associated with a greater prevalence of both severe osteoarthritis and osteoporotic lesions in moose. We found no evidence to suggest that moose with osteoporotic lesions were more or less likely to exhibit signs of osteoarthritis or severe osteoarthritis. The prevalence of osteoarthritis, periodontitis and osteoporotic lesions was greater among males than for females. CONCLUSIONS: Our results were consistent with the hypothesis that bacterial pathogens causing periodontitis are a risk factor for osteoarthritis and osteoporosis. They are also consistent with the hypothesis that the inverse association between osteoarthritis and osteoporosis sometimes observed in humans may be influenced by shared risk factors, such as obesity, smoking or alcohol consumption, which are absent in moose. Together these results provide insights about three diseases which are expected to become more prevalent in the future and that cause substantial socio-economic burdens.

Genetically predicted plasma cortisol and common chronic diseases: A Mendelian randomization study.

OBJECTIVE: Cushing's syndrome is characterized by hypercortisolaemia and is frequently accompanied by comorbidities such as type 2 diabetes, hypertension, osteoporosis, depression and schizophrenia. It is unclear whether moderate but lifelong hypercortisolaemia is causally associated with these diseases in the general population. We aimed to address this research gap using a Mendelian randomization approach. METHODS: We used three cortisol-associated genetic variants in the SERPINA6/SERPINA1 region as genetic instruments in a two-sample, inverse-variance-weighted Mendelian randomization analysis. We obtained summary-level statistics for cortisol and disease outcomes from publicly available genetic consortia, and meta-analysed them as appropriate. We conducted a multivariable Mendelian randomization analysis to assess potential mediating effects. RESULTS: A 1 standard deviation higher genetically predicted plasma cortisol was associated with greater odds of hypertension (odds ratio: 1.12; 95% confidence interval [CI]: 1.05-1.18) as well as higher systolic blood pressure (mean difference [MD]: 0.03 SD change; 95% CI: 0.01-0.05) and diastolic blood pressure (MD: 0.03 SD change; 95% CI: 0.01-0.04). There was no evidence of association with type 2 diabetes, osteoporosis, depression and schizophrenia. The association with hypertension was attenuated upon adjustment for waist circumference, suggesting potential mediation through central obesity. CONCLUSION: There is strong evidence for a causal association between plasma cortisol and greater risk for hypertension, potentially mediated by obesity.

Factors Influencing Medication Adherence Among Adults Living with Diabetes and Comorbidities: a Qualitative Systematic Review.

PURPOSE OF REVIEW: Medication adherence plays an important role in improving health outcomes related to diabetes and comorbidity. The potential factors influencing medication adherence and how they contribute to health behaviors have not been synthesized to date. This review synthesized qualitative studies that identified factors influencing medication adherence among adults living with diabetes and comorbidity. RECENT FINDINGS: Twenty-eight findings were extracted and synthesized into four themes: perceived support, lack of knowledge, medication issues, and the importance of routine. The findings highlight the factors that support medication adherence and areas that can be targeted to support and promote medication adherence. The findings also support the potential role of healthcare providers in supporting people living with diabetes and comorbidity to adhere to and maintain medication regimes. Several factors were identified that are amenable to intervention within the clinical practice setting and have the potential to enhance medication adherence and improve health outcomes for people living with diabetes and comorbidities. The development of acceptable and effective interventions could have a positive effect on medication adherence and health outcomes.

Shedding light on the impacts of Spirulina platensis on gut microbiota and related health benefits.

Spirulina (S.) platensis is a blue-green algae with reported nutritional and health-promoting properties, such as immunomodulating, antioxidant, cholesterol-lowering properties, and beneficial effects on inflammatory diseases. Spirulina platensis can improve the function and composition of the gut microbiota and exert systemic beneficial effects. Gut dysbiosis is characterized by an imbalance in the composition and function of gut microbiota and is associated with several diseases. Some dietary bioactive compounds can restore the composition, diversity, and function of the gut microbiota and improve health-related parameters. This review proposes to gather relevant information on the effects of S. platensis supplementation on the modulation of the function and composition of gut microbiota and local and systemic measures related to gut health, such as inflammation, oxidative stress, and glucose and lipid metabolism. The body of evidence conducted with animals and clinical studies shows that S. platensis supplementation increased gut microbiota diversity and improved gut microbiota composition, as reported by a decrease in the Firmicutes/Bacteroides ratio, increase in the relative abundance of Prevotella and Lactobacillaceae, increase in short-chain fatty acid production and decrease of gut permeability. Improvements in gut microbiota have been associated with host health benefits such as anti-obesity, anti-diabetic, anti-hypertensive, anti-lipemic, anti-inflammatory, and antioxidant effects.

Association between walking pace and risks of major chronic diseases in individuals with hypertension based on a prospective study in UK Biobank: Involvement of inflammation.

OBJECTIVE: Walking pace is associated with risks of major chronic diseases including cancer, cardiovascular disease (CVD) and diabetes mellitus type 2 (T2DM) in the general population. However, whether increasing walking pace could reduce risks of major chronic diseases in individuals with hypertension remains to be explored, and the underlying mechanism potentially mediated by low-grade inflammation is also unclear. METHODS: A total of 160,470 participants with hypertension were included based on the UK Biobank. The relationships of the walking pace and low-grade inflammation with risks of major chronic diseases in individuals with hypertension were assessed by the Cox proportional hazards model. Mediation analyses were performed to investigate the contribution of low-grade inflammation to the association between walking pace and risks of major chronic diseases. RESULTS: Individuals with hypertension at the brisk walking pace had decreased risks of overall cancer and site-specific cancers (liver, lung, and endometrial cancers), all CVD events (angina, atrial fibrillation, heart failure, myocardial infarction, peripheral vascular disease and stroke), and T2DM (hazard ratios: 0.42-0.91). Increasing low-grade inflammation was associated with higher risks of aforementioned diseases except liver cancer and atrial fibrillation. Furthermore, low-grade inflammation partially mediated associations of the walking pace with risks of lung cancer, T2DM, and all CVD events (except atrial fibrillation), with mediation proportion of 2.0%-9.8%. CONCLUSIONS: Brisk walking pace was linked to reduced risks of major chronic diseases in individuals with hypertension, partially mediated by low-grade inflammation. Improving walking pace may be beneficial for health in individuals with hypertension.

The Impact of Chronic Diseases on Mental Health: An Overview and Recommendations for Care Programs.

PURPOSE OF REVIEW: The current achievement of medical advancement is noteworthy; however, the occurrence of chronic diseases is increasing day by day, with a significant percentage of affected people are suffering from a mental health crisis. This article aims to present a thorough yet brief review of methods that can be employed to build the emotional wellness of chronic patients. RECENT FINDINGS: The mental health care strategies include resilience-building, coping skills training, professional counseling, and lifestyle adaptations. Additionally, the article highlights the efficacy of several modern interventions, such as mindfulness-based therapies, cognitive behavioral therapy, eye movement desensitization, and recovery from stress therapy. The global burden of chronic illness emphasizes the pressing need to mitigate mental health problems among chronic patients. By providing actionable insights, our study clears the path for targeted interventions and holistic approaches for chronic disease patients. Moreover, the article suggests to policymakers and clinicians the need for collaboration and multifaceted interventions.

The cost-effectiveness of school-based interventions for chronic diseases: a systematic review.

BACKGROUND: Chronic diseases, or non-communicable diseases (NCD), are conditions of long duration and often influenced and contributed by complex interactions of several variables, including genetic, physiological, environmental, and behavioral factors. These conditions contribute to death, disability, and subsequent health care costs. Primary and secondary school settings provide an opportunity to deliver relatively low cost and effective interventions to improve public health outcomes. However, there lacks systematic evidence on the cost-effectiveness of these interventions. METHODS: We systematically searched four databases (PubMed/Medline, Cochrane, Embase, and Web of Science) for published studies on the cost-effectiveness of chronic-disease interventions in school settings. Studies were eligible for inclusion if they assessed interventions of any chronic or non-communicable disease, were conducted in a school setting, undertook a full cost-effectiveness analysis and were available in English, Spanish, or French. RESULTS: Our review identified 1029 articles during our initial search of the databases, and after screening, 33 studies were included in our final analysis. The most used effectiveness outcome measures were summary effectiveness units such as quality-adjusted life years (QALYs) (22 articles; 67%) or disability-adjusted life years (DALYs) (4 articles; 12%). The most common health condition for which an intervention targets is overweight and obesity. Almost all school-based interventions were found to be cost-effective (30 articles; 81%). CONCLUSION: Our review found evidence to support a number of cost-effective school-based interventions targeting NCDs focused on vaccination, routine physical activity, and supplement delivery interventions. Conversely, many classroom-based cognitive behavioral therapy for mental health and certain multi-component interventions for obesity were not found to be cost-effective.

Do physicians' attitudes toward prioritization predict poor-health patients' access to care?

Physicians often face tight resource constraints, meaning they have to make trade-offs between which patients they care for and the amount of care received. Studies show that patients requiring many resources disproportionately suffer a loss of care when resources are constrained. This study uncovers whether physicians' attitudes toward prioritization of healthcare predicts poor-health patients' access to care. We combine unique survey data on Danish GPs' preferred prioritization principle with register data on their patients' contacts in general practice. We consider different types of contacts as the required effort could impact the need for prioritization. Our results show variation in GPs' prioritization principles, where a majority prefers a principle that may lead to an unequal distribution of services. We further find that GPs' attitudes toward prioritization predict some poor-health patients' access to general practice. GPs who state they prefer the principle of prioritizing patients in the poorest health state when resources tightened provide more contacts to poor-health patients. The additional contacts are typically high-effort contacts such as annual status meetings and home visits, but also low-effort contacts such as emails. Our findings indicate inequity in poor-health patients' access to care across general practices.

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.

The rehabilitation treatment beliefs questionnaire-revised: assessing adolescents' treatment beliefs.

OBJECTIVE: While there are several studies on children's and adolescents' beliefs about illness and medication treatment, there is limited research on their treatment beliefs in the context of rehabilitation. The Rehabilitation Treatment Beliefs Questionnaire (RTBQ) was the first instrument available to assess pediatric patients' rehabilitation-related treatment beliefs. However, the RTBQ had some limitations that we aimed to address in this study: We revised the content of the RTBQ to include previously unaddressed dimensions of rehabilitation-related treatment beliefs, and we thoroughly tested its psychometric properties based on a sizeable, multicenter sample of adolescents with different chronic diseases. METHODS: Across 11 pediatric rehabilitation clinics throughout Germany, eligible patients aged 12-18 years with any chronic physical or mental health condition were invited to participate in an online survey. Psychometric evaluation included item analysis, exploratory factor analysis, internal consistency and construct validity. RESULTS: The sample comprised N = 294 adolescents (M = 14.2 years) with various chronic conditions. Psychometric testing demonstrated a coherent factor structure with 6 interpretable scales covering process and outcome expectations, expectations of one's own role in the treatment process, structural expectations, concerns, and emotions, the latter three representing previously unaddressed dimensions of rehabilitation-related treatment beliefs. Internal consistency was acceptable to good. Construct validity analyses showed mostly hypotheses-consistent correlations with related constructs. CONCLUSIONS: The revised RTBQ provides a psychometrically well-tested, adolescent-specific, and disease-generic instrument that captures multiple dimensions of rehabilitation-related treatment beliefs. Practical implications include identifying adolescents' beliefs about rehabilitation treatment in order to actively involve them in their illness management.

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.

Relationship between self-esteem and quality of life in middle-aged and older patients with chronic diseases: mediating effects of death anxiety.

BACKGROUND: Many studies have explored the relationship between self-esteem and quality of life. However, few studies have elucidated the mechanisms underlying the relationship between self-esteem and quality of life in middle-aged and older patients with chronic diseases. The present study aimed to explore the mediating role of death anxiety in this relationship. METHODS: Middle-old-aged patients with chronic diseases were selected as the respondents by using a multi-stage sampling method, random number table method from October 2021 to February 2022 in the Second Affiliated Hospital of Zhejiang University School of Medicine. The Cumulative Disease Rating Scale, the Self-Esteem Scale (SES), the Chinese version of the Death Anxiety Scale (CT-DAS), and the Simplified version of the Quality of Life Scale (SF-12) were used as the researching tools to conduct the survey. SPSS26.0 was used to analysis data. AMOS 23.0 software was used to construct structural equation modeling. RESULTS: 294 valid questionnaires were collected. There were significant differences in quality of life among middle-aged and elderly patients with chronic diseases who have different physical activities, socialization, and chronic pain (P < 0.01); Self-esteem was positively associated with quality of life (r = 0.330, P < 0.01), self-esteem was negatively associated with death anxiety (r = -0.222, P < 0.01), and death anxiety was negatively associated with quality of life (r = -0.263, P < 0.01); Death anxiety partially mediated the relationship between self-esteem and quality of life, with the mediating effect accounting for 18.40% of the total effect. CONCLUSION: Death anxiety partially mediates the relationship between self-esteem and quality of life. Interventions to improve self-esteem and reduce death anxiety should be used to improve the quality of life of middle-aged and senior patients with chronic diseases.

Association of a healthy ageing index with health-related outcomes in a multi-ethnic cohort from Singapore.

BACKGROUND: The global population is ageing rapidly and it is important to promote healthy ageing. The Healthy Ageing Index (HAI) is a comprehensive measure of health, but there is limited research on its association with other age-related outcomes. The management of an aging population necessitates considerations even among generally healthy adults, as age-related diseases often remain unaccounted for until later stages of life. This study explores the association of risk factors with HAI and its association with peripheral artery disease (PAD), muscle strength, health-related quality of life (HRQoL), and psychological distress in the Singapore Multi-Ethnic Cohort study. METHODS: This cross-sectional study involved 1909 participants (median (Q1, Q3) age: 53 (48, 60) years and 59.3% females) from Singapore Multi-Ethnic Cohort study. The risk factors of HAI included age, gender, ethnicity, education level, smoking, alcohol consumption, employment, BMI and past medical histories. PAD was assessed using ankle-brachial index (ABI), handgrip strength (HGS), HRQoL with the EQ-5D-5 L questionnaire and psychological distress via the Kessler Psychological Distress Scale (K10). HAI components were assessed using relevant marker tests. RESULTS: Older age, Malay and Indian ethnicities, unemployment, high BMI and histories of CHD, hypercholesterolaemia, tumours and TIA/stroke were associated with lower HAI scores indicative of poorer health. Higher HAI scores were associated with females and higher education levels. Lower HAI scores were significantly associated with low ABI, high K10 scores, mobility and anxiety/depression dimensions of EQ-5D-5 L. CONCLUSION: The most important factors associated with HAI were age, sex, ethnicity, education, unemployment, BMI and a history of health conditions. Lower HAI scores were significantly associated with PAD, lower HRQoL and psychological distress. Thus, the HAI demonstrates promise as an evaluation method for assessing PAD, overall muscle strength and HRQoL in a population-based setting.

Chronic diseases and determinants of community health services utilization among adult residents in southern China: a community-based cross-sectional study.

BACKGROUND: The burden of chronic diseases has become a major public health concern, and high-efficiency use of community health services is essential in combating chronic diseases. This study described the status of chronic diseases in southern China and explored the determinants of health service utilization among adult residents. METHODS: Data were obtained from one part of community survey data from four counties in Ganzhou City, southern China. A multistage, stratified random sampling method was used to conduct a cross-sectional survey between 2018 and 2020. Overall, 7430 valid questionnaires were collected. A lasso-linear regression analysis was performed to explore the determinants of community health service utilization. RESULTS: According to the study, most participants (44.6%) reported having relatively good health, while 42.1% reported having moderate health. Chronic diseases were reported by 66.9% of the respondents. The three most prevalent self-reported chronic diseases were hypertension (22.6%), hyperlipidemia (5.9%), and diabetes (5.9%). Among residents with chronic diseases, 72.1% had one chronic disease, while the rest had multiple. Only 13.9% of residents frequently utilized community health services, while 18.9% never used them. Additionally, among residents who reported having chronic diseases, 14.1% had never attended community health services. Four categories of factors were the key determinants of community health service utilization: (1) personal characteristics, age, and sex; (2) health-related factors, such as family history, self-reported health conditions, and the number of chronic diseases; (3) community health service characteristics, such as satisfaction with and accessibility to community health services; and (4) knowledge of chronic diseases. Specifically, women tend to utilize healthcare services more frequently than men. Additionally, residents who are advanced in age, have a family history of chronic diseases, suffer from multiple chronic conditions, rate their self-reported health condition as poor, have a better knowledge about chronic diseases, have better accessibility to community health services, and have higher the satisfaction with community health services, tend to utilize them more frequently. CONCLUSIONS: Given the limited healthcare resources, the government should promote the effective utilization of community health facilities as a critical community-based strategy to combat the growing threat of chronic diseases in southern China. The priority measures involve enhancing residents' access to and satisfaction with community health services and raising awareness of chronic illnesses among older individuals with poor health status.

Relative predictive value of sociodemographic factors for chronic diseases among All of Us participants: a descriptive analysis.

BACKGROUND: Although sociodemographic characteristics are associated with health disparities, the relative predictive value of different social and demographic factors remains largely unknown. This study aimed to describe the sociodemographic characteristics of All of Us participants and evaluate the predictive value of each factor for chronic diseases associated with high morbidity and mortality. METHODS: We performed a cross-sectional analysis using de-identified survey data from the All of Us Research Program, which has collected social, demographic, and health information from adults living in the United States since May 2018. Sociodemographic data included self-reported age, sex, gender, sexual orientation, race/ethnicity, income, education, health insurance, primary care provider (PCP) status, and health literacy scores. We analyzed the self-reported prevalence of hypertension, coronary artery disease, any cancer, skin cancer, lung disease, diabetes, obesity, and chronic kidney disease. Finally, we assessed the relative importance of each sociodemographic factor for predicting each chronic disease using the adequacy index for each predictor from logistic regression. RESULTS: Among the 372,050 participants in this analysis, the median age was 53 years, 59.8% reported female sex, and the most common racial/ethnic categories were White (54.0%), Black (19.9%), and Hispanic/Latino (16.7%). Participants who identified as Asian, Middle Eastern/North African, and White were the most likely to report annual incomes greater than $200,000, advanced degrees, and employer or union insurance, while participants who identified as Black, Hispanic, and Native Hawaiian/Pacific Islander were the most likely to report annual incomes less than $10,000, less than a high school education, and Medicaid insurance. We found that age was most predictive of hypertension, coronary artery disease, any cancer, skin cancer, diabetes, obesity, and chronic kidney disease. Insurance type was most predictive of lung disease. Notably, no two health conditions had the same order of importance for sociodemographic factors. CONCLUSIONS: Age was the best predictor for the assessed chronic diseases, but the relative predictive value of income, education, health insurance, PCP status, race/ethnicity, and sexual orientation was highly variable across health conditions. Identifying the sociodemographic groups with the largest disparities in a specific disease can guide future interventions to promote health equity.

Comorbidity risk and distribution characteristics of chronic diseases in the elderly population in China.

BACKGROUND: The risk of comorbid chronic diseases in elderly people is an important problem affecting their health and quality of life. We analyzed the incidence of chronic diseases for combinations of chronic diseases analyzed. METHODS: We used the original data to construct hypothetical cohorts of elderly individuals that evolved with age. The complex network was used to reduce the dimensionality of disease. The multistate transition model is used to calculate the incidence of each chronic disease, exploring comorbidity characteristics and rules. RESULTS: (1) By using complex network, seven chronic diseases were screened out in men, including hypertension, diabetes, heart disease, stroke, chronic lung disease, arthritis and dyslipidemia; six chronic diseases in women showed significant comorbidity except chronic lung disease. (2) Incidence show differences in age and sex; incidence of chronic diseases generally increased with age. (3) The marginal risk increases with the number of basic chronic diseases associated with comorbidities. (4) When hypertension is present as a basic disease, its impact on the risk of other chronic diseases is much less than that of other chronic diseases. (5) When diseases occur as basic chronic diseases, hypertension-heart disease and diabetes-dyslipidemia are combinations that have the greatest impact on each other in men; hypertension-heart disease in women. CONCLUSIONS: The incidence of chronic diseases in patients who have chronic diseases and will form comorbidities differs from that in healthy states, and the related effects of different chronic diseases also differ. Among these conditions, hypertension is caused by a special mechanism.

Effects of the COVID-19 pandemic on healthcare utilization among older adults with cardiovascular diseases and multimorbidity in Indonesia: an interrupted time-series analysis.

BACKGROUND: The COVID-19 pandemic has disrupted healthcare utilization globally, but little is known about the effects among patients with cardiovascular diseases (CVDs) and other multimorbidities. This study analyzed the impacts of COVID-19 on healthcare utilization for patients aged 30 years and older with cardiovascular diseases (CVDs) with or without other chronic disease comorbidities in Indonesia. METHODS: We designed a retrospective cohort study based on the Indonesian National Health Insurance (NHI) sample data from 2016-2020. We defined healthcare utilization as monthly outpatient and inpatient visits related to chronic diseases at the hospital and primary healthcare levels per 10,000 NHI members. We used interrupted time series analysis to evaluate how the healthcare utilization patterns had changed due to the COVID-19 pandemic. RESULTS: Overall, hospital outpatient visits decreased by 39% when the pandemic occurred (95% Confidence Interval (CI): 0.48,0.76), inpatient visits by 28% (95% CI: 0.62,0.83), and primary healthcare visits by 34% (95% CI:0.55, 0.81). For patients with CVDs and multimorbidity, hospital outpatient and inpatient visit rates were reduced by 36% and 38%, respectively and primary healthcare visits by 32%. Some insignificant differences in the reduction of out-and inpatient visits were observed across diagnosis groups and regions. CONCLUSION: Healthcare utilization among patients with chronic diseases decreased significantly during COVID-19 and consistently across different chronic diseases and regions. To cope with the unmet needs of healthcare utilization in the context of the pandemic, the healthcare system needs to be strengthened to cater to the needs of the population-at-risk, especially for patients with CVDs and multimorbidity.