The Association of Malnutrition and Health-Related Factors among 474,467 Older Community-Dwellers: A Population-Based Data Mining Study in Guangzhou, China.

BACKGROUND: This study aimed to examine the prevalence and associated factors of malnutrition in older community-dwellers and explore the interaction between associated factors. METHODS: A total of 474,467 older community-dwellers aged 65 or above were selected in Guangzhou, China. We used a two-step methodology to detect the associated factors of malnutrition and constructed logistic regression models to explore the influencing factors and interactive effects on three patterns of malnutrition. RESULTS: The prevalence of malnutrition was 22.28%. Older adults with both hypertension and diabetes (RERI = 0.13), both meat or fish diet and hypertension (RERI = 0.79), and both meat or fish diet and diabetes (RERI = 0.81) had positive additive interaction effects on the risk of obesity, whereas those on a vegetarian diet with hypertension (RERI = -0.25) or diabetes (RERI = -0.19) had negative additive interaction effects. Moreover, the interactions of physical activity with a meat or fish diet (RERI = -0.84) or dyslipidemia (RERI = -0.09) could lower the risk of obesity. CONCLUSIONS: Malnutrition was influenced by different health factors, and there were interactions between these influencing factors. Pertinent dietary instruction should be given according to different nutritional status indexes and the prevalence of metabolic diseases to avoid the occurrences of malnutrition among older adults.

Trends in prevalence of multimorbidity for chronic diseases in China: serial cross-sectional surveys from 2009 to 2018.

BACKGROUND: Multimorbidity, individuals suffering from two or more chronic diseases, has become a major health challenge worldwide, especially in populous and prosperous cities, where studies of this phenomenon in China are limited. We examined the prevalence, trends, patterns, and associated factors of multimorbidity from 2009 to 2018 among community-dwelling adults in Guangzhou, China. METHODS: We conducted serial cross-sectional surveys for chronic diseases in Guangzhou, China, in 2009, 2013, and 2018. General and stratified prevalence were standardized using demographic data. Multivariable logistic regression and hierarchical cluster analysis were applied to identify associated factors and to assess the correlations and patterns of multimorbidity, respectively. RESULTS: This study included 23,284 adults aged 18 and over in 2009, 18,551 in 2013, and 15,727 in 2018. The standardized prevalence of multimorbidity increased substantially, with 12.69% (95% CI: 10.45-15.33) in 2009, 25.44% (95% CI: 23.47-27.52) in 2013, and 35.13% (95% CI:32.64-37.70) in 2018 (P for trend <0.001). The highest bi- and triple-conditions of multimorbidity were dyslipidemia (DP) and overweight or obesity (OO) (12.54%, 95% CI: 11.68-13.46), and DP, OO, and Hypertension (HT) (3.99%, 95% CI: 3.47-4.58) in 2018. From 2009 to 2018, (1) The majority of multimorbidity patterns showed a high prevalence; (2) The percentage of participants with only one chronic condition was found lower, while the percentage with multiple conditions was higher. CONCLUSIONS: The prevalence of chronic disease multimorbidity in Guangzhou China, has increased substantially among adults. Effective policies targeting multimorbidity are urgently needed, especially for the health management of primary medical institutions.

Association of adiposity indicators with cardiometabolic multimorbidity risk in hypertensive patients: a large cross-sectional study.

Background: Cardiometabolic multimorbidity (CMM) has emerged as a prominent public health concern. Hypertensive patients are prone to develop comorbidities. Moreover, the accumulation of visceral adipose tissue is the main cause for the development of cardiometabolic diseases. The cardiometabolic index (CMI), lipid accumulation product (LAP), visceral adiposity index (VAI), and Chinese visceral adiposity index (CVAI) not only assess adipose tissue mass but also reflect adipose tissue dysfunction. So far, no study has been reported to evaluate the association of CMI, LAP, VAI, and CVAI with CMM risk in hypertensive patients. Therefore, this study aimed to assess the association between these adiposity indicators and the risk of CMM among Chinese hypertensive patients. Methods: In this cross-sectional study, a total of 229,287 hypertensive patients aged 35 years and older were included from the National Basic Public Health Service Project. All participants underwent a face-to-face questionnaire survey, physical examination, and the collection of fasting venous blood samples. Multivariable logistic regression models were performed to estimate odds ratios (ORs) and 95% confidence intervals (CIs). Receiver operating characteristic curve was utilized to evaluate the identification ability for CMM. Results: After adjusting for confounders, each 1-standard deviation increase in CMI, LAP, VAI, and CVAI was associated with a 14%, 8%, 12%, and 54% increased risk of CMM, respectively. When comparing the highest quartile of these indicators with the lowest quartile, individuals in the highest quartile of CMM, LAP, VAI, and CVAI had a 1.39-fold (95% CI 1.30, 1.48), 1.28-fold (95% CI 1.19, 1.37), 1.37-fold (95% CI 1.29, 1.46), and 2.56-fold (95% CI 2.34, 2.79) increased risk of CMM after adjusting for potential confounders. Notably, a nonlinear association was observed for CMI, LAP, and VAI with the risk of CMM (all P nonlinearity < 0.001). CVAI exhibited the highest area under the receiver operating characteristic curve (AUC) among all the included adiposity indices in this analysis. Conclusion: This study indicated the significant positive association of CMI, LAP, VAI, and CVAI with the risk of CMM in hypertensive patients. Among these indicators, CVAI demonstrated the most robust performance in predicting CMM risk and may serve as a valuable tool for identifying CMM risk in Chinese hypertensive patients.

Healthy Lifestyle Score and Glycemic Control in Type 2 Diabetes Mellitus Patients: A City-Wide Survey in China.

BACKGROUND: Few studies have investigated the combined impact of healthy lifestyle factors on glycemic control. Our study aimed to examine the associations of a healthy lifestyle score (HLS) with glycemic control and to explore the interactive effects of lifestyle factors among patients with type 2 diabetes mellitus (T2DM) in China. METHODS: This cross-sectional study was conducted among T2DM patients based on the health management of residents from Guangzhou, China. Good glycemic control was defined as fasting plasma glucose < 7.0 mmol/L. HbA1c < 7.0% was also defined as good glycemic control in sensitivity analysis. The HLS was defined as including physical activity, waist circumference, body mass index, dietary habit, smoking, and alcohol consumption. Logistic regression models were used to examine the associations and interactions between the lifestyle factors and glycemic control. RESULTS: Compared with participants with an HLS ≤ 2, the odds ratios (95% confidence intervals) for an HLS of 3, 4, 5, and 6 were 0.82 (0.77-0.87), 0.74 (0.70-0.79), 0.61 (0.57-0.65), and 0.56 (0.53-0.60), respectively. Significant interactions of healthy lifestyle factors in relation to glycemic control were shown (Pinteraction < 0.05). CONCLUSIONS: A healthier lifestyle was significantly associated with good glycemic control in patients with T2DM, and combined healthy lifestyle factors had a better effect than considering them individually.

The hypertension and hyperlipidemia status among type 2 diabetic patients in the community and influencing factors analysis of glycemic control.

OBJECTIVE: To understand the prevalence of hypertension and hyperlipidaemia as well as the current status of glycaemic control and its influencing factors among type 2 diabetes mellitus patients in the community in South China, and to provide recommendations for the prevention and control of diabetes. METHODS: Questionnaires, physical examinations and laboratory tests were conducted on patients with type 2 diabetes mellitus who participated in the National Basic Public Health Service Programme in Guangzhou in 2020. The chi-square test, t-test and multi-factor unconditional logistic regression analysis were performed using R 4.1.2 software. RESULT: Among 127,423 type 2 diabetic patients in Guangzhou, 57,695 achieved glycemic control standards, with a glycemic control rate of 45.28%.In this study, the proportion of T2DM patients with hypertension and hyperlipidaemia together was 27.79%, The percentage of T2DM patients with hypertension alone and hyperlipidaemia alone was 28.34% and 20.53% respectively, and the rate of no complications was 23.34%. There was a statistically significant difference in the rate of glycaemic control between the different disease combination states (P < 0.05). The glycaemic control rate was 47.67% in diabetic patients without hypertension and hyperlipidaemia, 52.54% and 37.24% in those with combined hypertension alone and hyperlipidaemia alone respectively, compared to 41.80% in diabetic patients with hypertension and hyperlipidaemia. After adjusting for all covariates, multivariate analysis showed that combined hypertension alone was associated with good glycaemic control (OR 0.817, 95% CI 0.791, 0.843, P < 0.001),when using comorbid T2DM as a control group, combined hyperlipidaemia alone, combined hypertension and hyperlipidaemia were associated with poor glycaemic control (OR 1.521, 95% CI 1.470,1.574, P < 0.001 and OR 1.250, 95% CI 1.211,1.291, P < 0.001), Subgroup analyses as well as multifactorial unconditional logistic regression analyses showed that patients with type 2 diabetes who were overweight and obese, smoked, drank alcohol, had a diagnosis of diabetes for ≥ 6 years, had fair or poor adherence and had a family history of diabetes had lower rates of glycaemic control. CONCLUSION: The results of this study showed that the co-morbidity of hypertension and hyperlipidaemia was high and prevalent among diabetic patients in Guangzhou. Moreover, glycaemic control of T2DM patients with hyperlipidaemia was lower than other diabetic patients. Obesity and overweight, poor lifestyle and dietary habits are also major factors affecting the treatment and control of T2D patients in this region. Therefore, comprehensive measures should be actively taken to control blood glucose levels in type 2 diabetic patients by also incorporating lipid management into the community and strictly controlling lipid levels.

Prevalence and patterns of multimorbidity in chronic diseases in Guangzhou, China: a data mining study in the residents' health records system among 31 708 community-dwelling elderly people.

OBJECTIVES: Examination of the prevalence, influence factors and patterns of multimorbidity among the elderly people in Guangzhou, China. DESIGN: Cross-sectional study. PARTICIPANTS: 31 708 community-dwelling elderly people aged 65 and over. PRIMARY AND SECONDARY OUTCOME MEASURES: Prevalence, influence factors and patterns of multimorbidity in seven chronic conditions among the participants. A multistage, stratified random sampling was adopted for selection of health records in the residents' health records system of Guangzhou. Data mining by association rule mining analysis was used to explore the correlations and multimorbidity patterns between seven chronic diseases. RESULTS: The prevalence of morbidity was 55.0% (95% CI 40.1% to 60.1%) and the multimorbidity was 15.2% (95% CI 12.4% to 18.4%) among the participants. Elderly, women, higher education level, being single, living in urban areas and having medical insurance were more likely to have chronic diseases and multimorbidity. Data mining by association rule mining analysis reveals patterns of multimorbidity among the participants, including coexistence of hypertension and diabetes (support: 12.5%, confidence: 17.6%), hypertension and coronary heart disease (support: 4.4%, confidence: 5.7%), diabetes and coronary heart disease (support: 1.6%, confidence: 5.7%), diabetes, coronary heart disease and hypertension (support: 1.4%, confidence: 4.4%). CONCLUSIONS: A high prevalence of morbidity (especially on hypertension and diabetes) and a relatively low multimorbidity of chronic diseases exist in elderly people. Data mining of residents' health records will help for strengthening the management of residents' health records in community health service centres of Guangzhou, China.

Prevalence and related factors of depression and falls among the elderly living in rural communities of Guangzhou.

Few studies have concentrated on the prevalence and related factors of depression and falls among the elderly living in rural communities of Guangzhou. A total of 335 participants aged ≥60 years were recruited by simple random sampling method. A structural equation model was applied to determine interrelationships between depression, falls and other variables. As high as 27.5% and 23.3% participants had reported depressive symptoms and falls, respectively. The path analysis showed the total effect (ß = -0.58) of depression on quality of life (QOL) consisted of a direct effect (ß = -0.51) and an indirect effect (ß = -0.07), which was mediated by family function and number of falls, and the R2 was 0.36. The model fit indices were χ2/df = 1.096, P > 0.05, Root Mean Square Error of Approximation (RMSEA) = 0.017, Tucker-Lewis Index (TLI) = 0.998 and Comparative Fit Index (CFI) = 0.999. Depression and falls were prevalent among the elderly living in rural communities of Guangzhou city. Pay attention to strengthen family function and prevent falls may prevent depression and improve the QOL among the elderly.

Associations between serum calcium, phosphorus and mortality among patients with coronary heart disease.

PURPOSE: Serum calcium and phosphorus abnormalities are associated with cardiovascular disorders in general population, but evidence among patients with established coronary heart disease (CHD) is limited and controversial. This study aimed to investigate the associations of baseline serum calcium and phosphorus levels with long-term mortality risk among patients with CHD. METHODS: We conducted a prospective cohort study among 3187 patients with CHD from October 2008 and December 2011 in China. Cox proportional hazards model was used to assess the associations of serum calcium and phosphorus at baseline with the risk of death. RESULTS: During follow-up (mean, 4.9 years), 295 patients died, 193 of which resulted from cardiovascular causes. Multivariable-adjusted hazard ratios (HR) for each 1 mmol/L increase in serum calcium at baseline were 0.27 (95% confidence interval (CI) 0.14-0.51) for all-cause mortality and 0.26 (95% CI 0.12-0.54) for cardiovascular mortality. Patients in the highest compared to the lowest quartile of serum calcium were at lower risk of all-cause mortality (HR, 95% CI 0.57, 0.40-0.82) and cardiovascular mortality (0.50, 0.32-0.79) (both P trend < 0.001). This inverse association between serum calcium and the risk of mortality did not change when participants were stratified by sex, age groups, level of overweight, types of CHD, and history of diabetes. We also observed a graded positive association between baseline serum phosphorus and the risks of mortality. CONCLUSIONS: The present study is the first to report that lower serum calcium at baseline is associated with an increased risk of all-cause and cardiovascular mortality in a Chinese coronary heart disease cohort. Further studies are required to investigate the causal relationship and actual mechanisms.

Prediction of the risk of mortality using risk score in patients with coronary heart disease.

BACKGROUND: The aim of the study is to develop risk scores with traditional factors for all-cause and cardiovascular mortality among coronary heart disease (CHD) patients. METHODS AND RESULTS: We performed a prospective cohort study of 1911 CHD patients aged 40 and older. Cox models were used to estimate the association of traditional factors [sex, age, fasting blood glucose (FBG), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), blood pressure (BP), and cigarette use] and risk scores with all-cause and cardiovascular mortality. During a mean follow-up of 4.9 years, 232 deaths were identified, 159 of which were cardiovascular-related. Both 4-year and whole follow-up data showed age, sex, HDL-C, LDL-C, and FBG were significantly associated with the risk of mortality, while BP and smoking were not significant predictors in all models. We incorporated age, sex, FBG, HDL-C, and LDL-C to establish risk scores for all-cause and cardiovascular mortality in the 4-year and whole follow-up study. These risk scores were positively associated with the risk of death as quartiles and continuous variables. Assessed by the area under the receiver operating characteristic curves (AUROCs), these risk scores demonstrated strong discriminatory capacity, from 0.744 to 0.763; and the utility of these scores was confirmed with AUROCs from 0.736 to 0.756 (all P<0.001) in a validation cohort of 1506 CHD patients with a mean follow-up of 4.7 years. CONCLUSIONS: These simple risk score assessments, including a set of traditional risk factors, might improve the identification of high-risk CHD patients for a more intensive secondary prevention treatment.

Association Between Serum Fibroblast Growth Factor 21 and Mortality Among Patients With Coronary Artery Disease.

OBJECTIVES: Epidemiological studies have shown that serum fibroblast growth factor 21 (FGF21) levels were elevated in obesity and its related metabolic disorders. This prospective study assessed whether there was an independent association of serum FGF21 levels with all-cause and cardiovascular disease (CVD) mortality among patients with coronary artery disease (CAD). METHODS: A prospective cohort study of 1668 CAD patients was conducted. Their serum FGF21 levels were measured with ELISA kits. Cox regression models were used to estimate the association of serum FGF21 levels with the risk of mortality. RESULTS: During a median follow-up of 4.9 years, there were 194 deaths recorded and 130 of them were CVD deaths. Serum FGF21 levels positively correlated with age, body mass index, waist circumference, and adverse lipid profiles. Spline plots displayed a U-shaped association between serum FGF21 levels and all-cause as well as CVD mortality among CAD patients. Compared with serum FGF21 quartile 2, groups at quartiles 1, 3, and 4 had higher risk for all-cause and CVD mortality. Patients in the serum FGF21 quartile 4 had a 1.95-fold (95% confidence interval 1.25-3.02) risk of all-cause mortality and a 2.50-fold (95% confidence interval 1.43-4.38) risk of CVD mortality compared with those in quartile 2. CONCLUSIONS: The present study is the first to demonstrate that both higher and lower serum FGF21 levels were associated with increased risks for all-cause and CVD mortality, independent of traditional CVD risk factors.

Metabolic syndrome and its individual components with mortality among patients with coronary heart disease.

BACKGROUND: The metabolic syndrome (MetS) and its metabolic risk factors appear to promote the development of atherosclerotic cardiovascular disease. The aim of this study was to examine the association of MetS and its individual components with all-cause and cardiovascular mortality among patients with coronary heart disease (CHD). METHODS: We performed a prospective, hospital-based cohort among 3599 CHD patients in China. Cox proportional hazards regression models were used to estimate the association of MetS and its components at baseline with risk of mortality. RESULTS: During a mean follow-up period of 4.9years, 308 deaths were identified, 200 of which were due to cardiovascular disease. Compared with patients without MetS, patients with MetS according to the AHA/NHLBI statement had a 1.26-fold higher risk (95% CI, 1.01-1.59) of all-cause mortality and a 1.41-fold higher risk (1.06-1.87) of cardiovascular mortality. Patients with increasing numbers of components of MetS had a gradually increased risk for all-cause and cardiovascular mortality (P<0.05). When each component of MetS was considered as a dichotomized variable separately, only low high-density lipoprotein cholesterol (HDL-C) and elevated fasting blood glucose (FBG) were associated with all-cause and cardiovascular mortality. After using restricted cubic splines, we found a U-shaped association of HDL-C, body mass index and blood pressure, a positive association of FBG, and no association of triglycerides with the risks of all-cause and cardiovascular mortality. CONCLUSIONS: MetS is a risk factor for all-cause and cardiovascular mortality among CHD patients. It is very important to control metabolic components in a reasonable control range.

Estimated Glomerular Filtration Rate and Mortality among Patients with Coronary Heart Disease.

OBJECTIVE: The association between estimated glomerular filtration rate (eGFR) and the risk of mortality among patients with coronary heart disease (CHD) is complex and still unclear. The aim of this study was to evaluate the effect of eGFR on the risk prediction of all-cause and cardiovascular disease (CVD) mortality with a long follow-up period among patients with CHD in China. METHODS: We conducted a prospective cohort study of 3276 Chinese patients with CHD. Cox proportional hazards regression models were used to estimate the association of different levels of eGFR with the risks of mortality. RESULTS: During a mean follow-up period of 4.9 years, 293 deaths were identified. The multivariable-adjusted hazard ratios associated with different levels of eGFR (≥90 [reference group], 60-89, 30-59, 15-29 ml/min per 1.73m2) at baseline were 1.00, 1.28 (95% confidence interval [CI], 0.87-1.88), 1.96 (95% CI, 1.31-2.94), and 3.91 (95% CI, 2.15-7.13) (P <0.001) for all-cause mortality, and 1.00, 1.26 (95% CI, 0.78-2.04), 1.94 (95% CI, 1.17-3.20), and 3.77 (95% CI, 1.80-7.89) (P <0.001) for CVD mortality, respectively. After excluding subjects who died during the first 2 years of follow-up (n = 113), the graded associations of eGFR with the risks of all-cause and CVD morality were still present. The addition of eGFR to a model including traditional cardiovascular risk factors resulted in significant improvement in the prediction of all-cause and CVD mortality. CONCLUSIONS: Reduced eGFR (< 60 ml/min per 1.73 m2) at baseline is associated with increased risks of all-cause and CVD mortality among Chinese patients with CHD.

Cholesterol efflux capacity is an independent predictor of all-cause and cardiovascular mortality in patients with coronary artery disease: A prospective cohort study.

BACKGROUND: Although diminished cholesterol efflux capacity is positively related with prevalent coronary artery disease, its prognostic value for incident cardiovascular events remains a topic of debate. This work aims to investigate the association between cholesterol efflux capacity and all-cause and cardiovascular mortality in patients with coronary artery disease. METHODS AND RESULTS: We measured cholesterol efflux capacity at baseline in 1737 patients with coronary artery disease from the Guangdong Coronary Artery Disease Cohort. During 6645 person-years of follow-up, 166 deaths were registered, 122 of which were caused by cardiovascular diseases. After multivariate adjustment for factors related to cardiovascular diseases, the hazard ratios of cholesterol efflux capacity in the fourth quartile compared with those in the bottom quartile were 0.24 (95% confidence intervals 0.13-0.44) for all-cause mortality (P < 0.001), and 0.17 (95% confidence intervals 0.08-0.39) for cardiovascular mortality (P < 0.001). Adding cholesterol efflux capacity to a model containing traditional cardiovascular risk factors significantly increases its discriminatory power and predictive ability for all-cause (area under receiver operating characteristic curve 0.79 versus 0.76, P = 0.001; net reclassification improvement 14.5%, P = 0.001; integrated discrimination improvement 0.016, P < 0.001) and cardiovascular (area under receiver operating characteristic curve 0.81 versus 0.78, P = 0.001; net reclassification improvement 18.4%, P < 0.001; integrated discrimination improvement 0.015, P < 0.001) death, respectively. CONCLUSIONS: Cholesterol efflux capacity may serve as an independent measure for predicting all-cause and cardiovascular mortality in patients with coronary artery disease.

Association between Serum Uric Acid and Mortality among Chinese Patients with Coronary Artery Disease.

OBJECTIVES: Several studies have investigated the association between serum uric acid (SUA) and the risks of coronary artery disease (CAD) but have yielded inconsistent results. The aim of this study was to assess whether there is an independent association of SUA with all-cause and cardiovascular disease (CVD) mortality in Chinese patients with CAD. METHODS: A prospective cohort study of 1,799 patients was conducted. Cox regression models were used to estimate the association of SUA with the risk of death. RESULTS: During a median follow-up of 3.9 years, 177 deaths were recorded and 126 of these were due to CVD. Patients in the highest SUA quartile had a 2.43-fold risk of all-cause mortality and a 2.44-fold risk of CVD mortality compared with those in the lowest quartile. In the subpopulation analysis, the association between SUA and mortality remained similar when participants were stratified by age, gender, body mass index and type of CAD. In contrast, we found a significant interaction with estimated glomerular filtration rate (eGFR). There was a stronger association between SUA and the risk of all-cause and CVD mortality among patients with an eGFR ≥60 ml/min/1.73 m2, but no significant association was found in the population with an eGFR <60 ml/min/1.73 m2. CONCLUSIONS: Elevated SUA levels were positively associated with an increased risk of all-cause and CVD mortality among CAD patients.

Body Mass Index, High-Sensitivity C-Reactive Protein and Mortality in Chinese with Coronary Artery Disease.

BACKGROUND: To investigate single and joint associations of body mass index (BMI) and serum high-sensitivity C-reactive protein (hsCRP) with death. METHODS: The study included 1871 coronary artery disease (CAD) patients aged 40-85 year-old recruited from 2008 to 2011. Cox regression models were used to estimate the association of BMI and hsCRP with mortality. The data was analyzed in 2014. RESULTS: During 3.1 years follow-up, 141 deaths were recorded, 110 died of cardiovascular disease (CVD). After adjustment of major CVD risk factors, there was a J-shaped association between BMI and all-cause and CVD mortality, and a positive association between hsCRP and mortality. The J-shaped association of BMI with mortality was present among patients who never smoked or with elevated hsCRP (≥3.0 mg/L). Compared with overweight (BMI 24-27.9 kg/m2) patients with normal hsCRP (<3.0 mg/L), obese patients (BMI≥28 kg/m2) with elevated hsCRP had a 3.41-fold risk of all-cause mortality (95% CI 1.49-7.80) and a 3.50-fold risk of CVD mortality (1.40-8.75), lean patients (BMI<24 kg/m2) with elevated hsCRP concentration had a 2.54-fold risk of all-cause mortality (1.36-4.74) and a 2.36-fold risk of CVD mortality (1.19-4.70). CONCLUSIONS: The association pattern between baseline BMI and mortality changed among different baseline hsCRP concentrations, indicating that low-grade inflammation may be related to BMI and secondary prognosis of CAD.