Prevalence and risk of diabetes based on family history in the Shanghai High‐Risk Diabetic Screen (<scp>SH</scp>i<scp>DS</scp>) study

Zhang, Yuxiang; Chen, H.; Lu, Huijuan; Shen, Yaqi; Chen, R.; Fang, Ping; Du, Xin; Bao, Yuqian; Wang, C.; Wang, Jia

doi:10.1111/dme.13013

Cited by 18 publications

(25 citation statements)

References 22 publications

(26 reference statements)

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“…This association was particularly obvious in females, which agreed with another cohort study by Zhang et al [13]. The possible reason was related to the higher lipid levels in female hepatocytes, both fasting and after glucose and lipid loading compared with males [25,26]. In clinical practice, obese people and the elderly were generally considered to be the main targets for diabetes screening.…”

Section: Discussionsupporting

confidence: 84%

Association of Triglyceride-glucose Index and the Risk of Incident Diabetes: a Secondary Analysis Based on a Chinese Cohort Study

Tien

et al. 2020

Preprint

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BackgroundTriglyceride-glucose index (TyG index) has been regarded as a reliable alternative marker of insulin resistance. However, study on the relationship between TyG index and incident diabetes remains limited. This study aimed to investigate the association between TyG index and incident diabetes in a large cohort of Chinese population.MethodsThe present study was a retrospective cohort study using healthy screening programme data in China. A total of 201,298 subjects free of baseline diabetes were included who received a health check with all medical records from 2010 to 2016. TyG index was calculated as Ln[fasting triglyceride level (mg/dl) x fasting plasma glucose (mg/dl)/2]. Diagnosis of diabetes was based on fasting plasma glucose ≥ 7.00 mmol/L and/or self-reported diabetes. Cox proportion-hazard model was used to assess the relationship between TyG index at baseline and the risk of incident diabetes. It should be noted that the data was uploaded to the DATADRYAD website, and we only used this data for secondary analysis.ResultsDuring a mean follow-up of 3.12 years of 201,298 individuals aged ≥ 20 years old, 3389 subjects developed diabetes. After adjusting for age, sex, body mass index, systolic blood pressure, diastolic blood pressure, total cholesterol, low density lipoprotein cholesterol, alanine aminotransferase, aspartate aminotransferase, serum creatinine, smoking, drinking and family history of diabetes, multivariate cox hazards regression analysis indicated that TyG index was positive correlation with the risk of developing diabetes in Chinese population (HR, 3.34; 95% CI, 3.11 to 3.60). The risk of incident diabetes increased with increasing TyG index. Subjects with TyG index in the fourth quartile were 6.26 times more likely to develop diabetes than the lowest quartile (P trend < 0.001). Subgroup analysis showed the stronger association was observed in the population with age < 40, BMI (≥ 18.5, < 24 kg/m2), SBP < 140 mmHg or females (all P for interaction < 0.0001).Conclusions TyG index was independently correlated with the increased risk of diabetes in Chinese adults, suggesting that TyG index may be a useful marker for identifying individuals at high risk of developing diabetes.

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Section: Discussionsupporting

confidence: 84%

Association of Triglyceride-glucose Index and the Risk of Incident Diabetes: a Secondary Analysis Based on a Chinese Cohort Study

Tien

et al. 2020

Preprint

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“…Family history of diabetes may reflect the influence of both genetic and common environmental exposures shared within the family, therefore, knowledge of family history may be the first step toward determining the contribution of genetic and environmental factors in the development of diabetes [16]. In this study, it was possible because the group who has a family history of diabetes may have high levels of awareness of the risk factors of diabetes.…”

Section: Liberty and Kodimmentioning

confidence: 99%

“…Compared with interventions after the onset of diabetes, the related intervention measures started during the prediabetes stage are more efficient and sensible because they can prevent or delay the conversion from prediabetes to diabetes [12,16].…”

Section: Liberty and Kodimmentioning

confidence: 99%

Assess Prediabetes Risk, as a Golden Period for Prevention of Diabetes

Liberty

Kodim

2017

Asian J Pharm Clin Res

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Objective: Prediabetes is a high-risk condition for diabetes development and several other health outcomes later in life, but little is known about the factors associated with this condition. On the other hand, by predicting the risk of prediabetes, it is also a golden period for prevent or delay the diabetes conversion. The aim here was to assess the prevalence, risk factor that associated, and build a model to assess prediabetes risk. Methods:A cross-sectional study was conducted in Palembang, Indonesia. Data were collected during January until May 2016. We recruited adult age >15 years from 16 districts in Palembang. Anthropometric, demographic, and clinical history data were measured by standard methods. Capillary blood glucose was measured by finger prick test, followed by confirmatory oral glucose tolerance tests. Results:Of a total of 1241 participants, the prevalence of prediabetes was 27.8% (345 participants) and 72.2% (896 participants) and those were normal blood glucose. Employment, age, exercise, alcohol consumption, body mass index, systolic pressure, diastolic pressure, waist circumference, and hypercholesterol history were screened out as independent factors to build the prediction risk model. Conclusion:The prediabetes prediction model can be used easily and understood by health-related users to assess prediabetes risk. The intervention program, designed based on our prediabetes model to prevent or delay the conversion of prediabetes to diabetes in the population. The discovery of pharmacological therapies to prevent further conversion is needed.

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“…Worldwide, the number of cases of diabetes has been estimated to be 171 million, and by 2025, this number is projected to reach 366 million [1]. Diabetic patients are at high risk for many serious and costly complications such as heart disease, kidney failure and blindness, and foot complications, making it a public health problem worldwide [2,3]. This latter complication may take the greatest attention due to its dreadful possible outcome of amputation, with its negative consequences on the patient, family, healthcare system, and society [4,5].…”

Section: Introductionmentioning

confidence: 99%

Effect of Self-Efficacy Enhancing Intervention Training on Clinical Health Status of Diabetic Patients at High-Risk for Leg Problems

Ali¹

2017

J Pat Care

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Egypt has more diabetic individuals than any other country, with high incidence of foot problems and amputations. This study was aimed at evaluating the effect of a self-efficacy enhancing intervention training (SEEIP) on the clinical health status of diabetic patients at high risk for leg problems. The study was conducted in the diabetic outpatient clinic in Ain-Shams Specialized University Hospital in using a randomized controlled trial study design. It included a sample of 60 diabetic patients randomized an intervention group of 30 patients to attend the program and an equal control group following the routine diabetic care in the setting. The data collection tools were an interview questionnaire sheet, and adiabetes clinical/lab form, the self-efficacy assessment form for diabetic patients, and a leg physical assessment sheet. The study was carried out through preparatory, assessment, planning, implementation, and evaluation phases. The training intervention consisted of five efficacy-enhancing sessions at weekly intervals. For evaluation, two posttests were carried out at one and six months after the end of the program. The work was from September 2014 to August 2015. The study revealed statistically significant improvements in the study group at the post-and follow-up in lower limb physical findings (p<0.001), compliance with medications, more days of intake of medications, of following diet, exercise, and practicing foot care during last week (p<0.001), perception of health, and self-confidence (p<0.001), hypertension (p<0.001), random blood sugar (p<0.001), glycated Hb (p<0.001), and total cholesterol (p=0.001). There were statistically significant positive correlation between the scores of self-confidence and foot self-care (r=0.96), and between the number of abnormal signs and the level of HbA1c, while the total number of abnormal signs correlated negatively with the score of self-confidence and foot self-care. The level of HbA1c, it correlated negatively with the scores of self-confidence and foot self-care. In conclusion, increasing diabetic patients' self-confidence and self-efficacy can improve their self-care practices, with subsequent positive impacts on their general and feet health status and diabetic control. The implementation of self-efficacy enhancing training programs is recommended with the use of the developed illustrated booklet as an educational aid for diabetic patients whom at risk for leg problems. More research is needed to investigate the longterm effect of such educational interventions.

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Prevalence and risk of diabetes based on family history in the Shanghai High‐Risk Diabetic Screen (SHiDS) study

Cited by 18 publications

References 22 publications

Association of Triglyceride-glucose Index and the Risk of Incident Diabetes: a Secondary Analysis Based on a Chinese Cohort Study

Association of Triglyceride-glucose Index and the Risk of Incident Diabetes: a Secondary Analysis Based on a Chinese Cohort Study

Assess Prediabetes Risk, as a Golden Period for Prevention of Diabetes

Effect of Self-Efficacy Enhancing Intervention Training on Clinical Health Status of Diabetic Patients at High-Risk for Leg Problems

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