Deafness ; Diabetes Complications ; diagnosis ; epidemiology ; Diabetes Mellitus ; epidemiology ; Hearing Loss ; diagnosis ; etiology ; Humans

Objective: To analyze the prevalence of dry and wet age-related macular degeneration (AMD) in patients with diabetes, hypertension and hyperlipidemia, and to analyze the risk factors for AMD. Methods: A population-based cross-sectional epidemiologic study was conducted involving 14,440 individuals. We assessed the prevalence of dry and wet AMD in diabetic and non-diabetic subjects and analyzed the risk factors for AMD. Results: The prevalence of wet AMD in diabetic and non-diabetic patients was 0.3% and 0.5%, respectively, and the prevalence of dry AMD was 17% and 16.4%, respectively. The prevalence of wet AMD in healthy, hypertensive, hyperlipidemic, and hypertensive/hyperlipidemic populations was 0.5%, 0.3%, 0.2%, and 0.7%, respectively. The prevalence of dry AMD in healthy, hypertensive, hyperlipidemic, and hypertensive/hyperlipidemic populations was 16.6%, 16.2%, 15.2%, and 17.2%, respectively. Age, sex, body mass index, and use of hypoglycemic drugs or lowering blood pressure drugs were corrected in the risk factor analysis of AMD. Diabetes, diabetes/hypertension, diabetes/hyperlipidemia, and diabetes/hypertension/hyperlipidemia were analyzed. None of the factors analyzed in the current study increased the risk for the onset of AMD. Conclusion There was no significant difference in the prevalence of wet and dry AMD among diabetic and non-diabetic subjects. Similarly, there was no significant difference in the prevalence of wet and dry AMD among subjects with hypertension and hyperlipidemia. Diabetes co-existing with hypertension and hyperlipidemia were not shown to be risk factors for the onset of dry AMD.
Cross-Sectional Studies ; Diabetes Mellitus/epidemiology* ; Humans ; Hyperlipidemias/epidemiology* ; Hypertension/epidemiology* ; Macular Degeneration/etiology* ; Risk Factors

Asia ; epidemiology ; Diabetes Mellitus ; epidemiology ; etiology ; prevention & control ; Humans ; Morbidity ; Risk Factors ; Socioeconomic Factors ; Survival Rate

Diabetes Mellitus, Type 2 ; complications ; epidemiology ; Female ; Humans ; Male ; Pulmonary Disease, Chronic Obstructive ; epidemiology ; etiology

Surveys of noncommunicable diseases were performed in six communities in Papua New Guinea during 1985-1986. Results are reported here with respect to blood pressure and associated factors in adults. Mean systolic and diastolic blood pressures were lowest, and hypertension was rarest (less than 2%), in three rural/semirural villages on Karkar Island, Madang Province. Intermediate values for blood pressure and moderate prevalence of hypertension (3-6%) were observed in rural and urban Tolai communities in East New Britain Province. A periurban village in the Eastern Highlands Province displayed the highest mean blood pressures and prevalence of hypertension (12% in men and 5% in women). There was a modest rise in mean systolic blood pressure with age in most groups, but the age-related rise in diastolic pressure was much less pronounced. Other cardiovascular risk factors--body mass index (BMI), and plasma cholesterol, glucose and insulin concentrations--were lowest in the least developed rural villages on Karkar Island and highest in the urban Tolai and periurban highland communities. Both systolic and diastolic blood pressures were significantly (and positively) related to age, male sex, BMI and speaking a non-Austronesian language. It is concluded that there is now a considerable variation in the prevalence of hypertension, and the levels of blood pressure and other cardiovascular risk factors, in different communities in Papua New Guinea.
Adult ; Blood Pressure ; Cardiovascular Diseases - etiology ; Diabetes Mellitus - epidemiology ; Hypertension - complications ; Obesity - epidemiology ; Papua New Guinea

China/epidemiology* ; Diabetes Mellitus, Type 2/etiology* ; Dyslipidemias/epidemiology* ; Humans ; Incidence ; Prospective Studies

OBJECTIVETo estimate the relative risks of dyslipidemia, hypertension, diabetes mellitus, and metabolic syndromes among overweight and obese Chinese children compared with their normal weight counterparts.

METHODSOverweight and obesity were defined by age- and sex-specific BMI classification reference for Chinese children and adolescents. Pediatric metabolic syndrome (MetS) and each risk factor for MetS were defined using the criteria for US adolescents. Definition of hyper-TC, LDL, and dyslipidemia for adults was applied as well. General linear model factor analysis and chi-square test were used to compare the difference in metabolic indicators among normal weight, overweight, and obese groups. Multiple logistic regression analysis was performed to estimate the odds ratio of metabolic abnormalities between obesity, overweight, and normal weight children, after adjustment for living area, family economic level, age, sex, and daily exercise time and TV watching time, as well as different dietary indices in the model.

RESULTSSignificant increases in blood lipids, glucose, and blood pressure were found among overweight and obese children as compared with their counterparts with normal weight. By applying WGOC-recommended BMI classification, the risks for hypertriglyceridemia, low HDL and dyslipidemia among overweight children were 1.9, 1.4, and 1.5 times, and was 3.3, 1.5, and 1.8 times among obese groups compared to their counterparts with normal weight after adjustment for age, sex, region, socioeconomic status, physical activity, and dietary intakes. The overweight and obese children (15-17.9 years) had a high-risk of developing hypertension, which was 2.3 and 2.9 times higher than their counterparts with normal weight. Above 90% obese adolescents had abdominal obesity, while less than 1% normal weight ones had abdominal obesity. No obese adolescents were free from any risk factors for MetS, while 36.9% of normal weight adolescents were from the risk factors. 83.3% obese boys and all obese girls had metabolic syndrome, while only 15.5% normal weight boys and 18.8% normal weight girls had metabolic syndrome. Four risk factors for metabolic syndrome were found in 8.3% obese boys while none in normal weight boys and girls. The prevalence of MetS among normal weight, overweight, and obesity groups was 1.5%, 18.3%, and 38.1% respectively.

CONCLUSIONThe cardiovascular disease (CVD) risk factors are clustered in obese Chinese children. Our observations strongly suggest that efforts should be made to prevent the onset of overweight and its associated diseases during early childhood.

Adolescent ; Child ; China ; epidemiology ; Diabetes Mellitus ; epidemiology ; Dyslipidemias ; epidemiology ; etiology ; Female ; Humans ; Hypertension ; epidemiology ; etiology ; Male ; Obesity ; complications ; epidemiology ; Risk Factors

China has a double burden of diabetes mellitus and tuberculosis, and many studies have been carried out on the mutual impact of these two diseases. This paper systematically reviewed studies conducted in China covering the mutual impact of epidemics of diabetes and tuberculosis, the impact of diabetes on multi-drug resistant tuberculosis and on the tuberculosis clinical manifestation and treatment outcome, the yields of bi-directional screening, and economic evaluation for tuberculosis screening among diabetes patients.
China ; epidemiology ; Coinfection ; epidemiology ; etiology ; microbiology ; Diabetes Mellitus ; epidemiology ; etiology ; Epidemics ; Mass Screening ; economics ; Prevalence ; Tuberculosis ; epidemiology ; microbiology ; Tuberculosis, Multidrug-Resistant ; epidemiology ; microbiology

In 2019, cardiovascular disease (CVD) accounted for 46.74% and 44.26% of all deaths in rural and urban areas, respectively. Two out of every five deaths were due to CVD. It is estimated that about 330 million patients suffer from CVD in China. The number of patients suffering from stroke, coronary heart disease, heart failure, pulmonary heart disease, atrial fibrillation, rheumatic heart disease, congenital heart disease, lower extremity artery disease and hypertension are 13.00 million, 11.39 million, 8.90 million, 5.00 million, 4.87 million, 2.50 million, 2.00 million, 45.30 million, and 245.00 million, respectively. Given that China is challenged by the dual pressures of population aging and steady rise in the prevalence of metabolic risk factors, the burden caused by CVD will continue to increase, which has set new requirements for CVD prevention and treatment and the allocation of medical resources in China. It is important to reduce the prevalence through primary prevention, increase the allocation of medical resources for CVD emergency and critical care, and provide rehabilitation services and secondary prevention to reduce the risk of recurrence, re-hospitalization and disability in CVD survivors. The number of people suffering from hypertension, dyslipidemia and diabetes in China has reached hundreds of millions. Since blood pressure, blood lipids, and blood glucose levels rise mostly insidiously, vascular disease or even serious events such as myocardial infarction and stroke often already occured at the time of detection in this population. Hence, more strategies and tasks should be taken to prevent risk factors such as hypertension, dyslipidemia, diabetes, obesity, and smoking, and more efforts should be made in the assessment of cardiovascular health status and the prevention, treatment, and research of early pathological changes.
Cardiovascular Diseases/etiology* ; China/epidemiology* ; Diabetes Mellitus ; Dyslipidemias ; Humans ; Hypertension/epidemiology* ; Myocardial Infarction ; Risk Factors ; Stroke/epidemiology*

The fracture risk of patients with diabetes is higher than those of patients without diabetes due to hyperglycemia, usage of diabetes drugs, changes in insulin levels, and excretion, and this risk begins as early as adolescence. Many factors including demographic data (such as age, height, weight, and gender), medical history (such as smoking, drinking, and menopause), and examination (such as bone mineral density, blood routine, and urine routine) may be related to bone metabolism in patients with diabetes. However, most of the existing methods are qualitative assessments and do not consider the interactions of the physiological factors of humans. In addition, the fracture risk of patients with diabetes and osteoporosis has not been further studied previously. In this paper, a hybrid model combining XGBoost with deep neural network is used to predict the fracture risk of patients with diabetes and osteoporosis, and investigate the effect of patients' physiological factors on fracture risk. A total of 147 raw input features are considered in our model. The presented model is compared with several benchmarks based on various metrics to prove its effectiveness. Moreover, the top 18 influencing factors of fracture risks of patients with diabetes are determined.
Bone Density ; Deep Learning ; Diabetes Mellitus/epidemiology* ; Female ; Fractures, Bone/etiology* ; Humans ; Osteoporosis/complications* ; Risk Factors