Age distribution and metabolic disorders in people with Type 1 diabetes in Beijing and Shantou, China: a cross‐sectional study

Huo, Lili; Ji, Linong; Deng, Wei; Shaw, Jonathan E.; Zhang, Puhong; Zhao, Fang; McGuire, Helen; Kissimova-Skarbek, Katarzyna; Whiting, David

doi:10.1111/dme.13616

Cited by 16 publications

(22 citation statements)

References 29 publications

(59 reference statements)

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“…The prevalence of MetS in our survey was similar to that reported in the Action LADA study in Europe (9). Differently, the prevalence of MetS in T1DM in our survey was much higher than the 10.1% in T1DM reported in a previous Chinese survey ( n = 849) (27). Given that the prevalence of MetS increases with increasing age (28), and the much younger age of T1DM patients in that Chinese survey (the median age: 22 years) (27), the observed high prevalence of MetS in our patients is not at odds with the findings of that Chinese survey.…”

Section: Discussioncontrasting

confidence: 93%

“…Differently, the prevalence of MetS in T1DM in our survey was much higher than the 10.1% in T1DM reported in a previous Chinese survey ( n = 849) (27). Given that the prevalence of MetS increases with increasing age (28), and the much younger age of T1DM patients in that Chinese survey (the median age: 22 years) (27), the observed high prevalence of MetS in our patients is not at odds with the findings of that Chinese survey. Using age at diagnosis ≥30 years as one of the inclusion criteria and the CDS criteria for definition of MetS, which was more appropriate for Chinese population for cardiovascular risk assessment (18), our survey generated a more reliable estimation of the prevalence of MetS in newly diagnosed diabetes.…”

Section: Discussioncontrasting

confidence: 93%

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Prevalence of Metabolic Syndrome and Its Determinants in Newly-Diagnosed Adult-Onset Diabetes in China: A Multi-Center, Cross-Sectional Survey

Cao

Tang

et al. 2019

Front. Endocrinol.

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Aim: The study aimed to investigate the prevalence of metabolic syndrome (MetS) and its determinants in newly-diagnosed adult-onset diabetes in China.Methods: From April 2015 to October 2017, 15,492 consecutive patients with diabetes diagnosed within 1 year and aged ≥30 years were recruited from 46 tertiary care hospitals in 24 cities across China. Glutamic acid decarboxylase autoantibody was assayed centrally and clinical data were collected locally. Classic type 1 diabetes mellitus (T1DM), latent autoimmune diabetes in adults (LADA) and type 2 diabetes mellitus (T2DM) were defined using the criteria of American Diabetes Association, Immunology of Diabetes Society and World Health Organization. MetS was defined using Chinese Diabetes Society's criteria. Logistic regression analysis was used to obtain odds ratios (OR) of determinants of MetS.Results: The overall prevalence of MetS was 66.5%, with the highest prevalence in T2DM (68.1%), followed by those in LADA (44.3%) and T1DM (34.2%) (P < 0.05 for all comparisons). After adjustment for traditional risk factors, T2DM had a 2.8-fold [95% confidence interval (CI): 2.36–3.37] MetS risk compared with LADA, whereas T1DM had significantly lower OR than LADA (OR: 0.68, 95% CI: 0.50–0.92). After further adjustment for insulin resistance, the OR of T2DM vs. LADA was slightly reduced but the OR of T1DM vs. LADA was greatly attenuated to non-significance (OR: 0.96, 95% CI: 0.70–1.33). In addition to types of diabetes, age, gender, geographical residence, education attainment, alcohol consumption and HOMA2-IR were independent determinants of MetS.Conclusions: MetS was highly prevalent, not only in T2DM but also in T1DM and LADA in Chinese newly diagnosed patients; higher risk of MetS in LADA than in T1DM was partially attributable to higher insulin resistance in LADA.

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Section: Discussioncontrasting

confidence: 93%

Section: Discussioncontrasting

confidence: 93%

Prevalence of Metabolic Syndrome and Its Determinants in Newly-Diagnosed Adult-Onset Diabetes in China: A Multi-Center, Cross-Sectional Survey

Cao

Tang

et al. 2019

Front. Endocrinol.

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“…(1) Fasting plasma glucose (FPG), LDL, HDL, and TG levels were analyzed at the Youanmen Center for Clinical Laboratory at Capital Medical University using the enzymatic colorimetric tests, and serum uric acid (SUA) levels were analyzed using the urinalysis (UA) plus method. We classified TG levels into 2 categories: ≥ 150 mg/dL and < 150 mg/dL, a categorization widely used in previous studies [29, 30]. (2) BP was measured 3 times at intervals of 45 seconds with a sphygmomanometer.…”

Section: Methodsmentioning

confidence: 99%

Association and Interaction Analysis of Body Mass Index and Triglycerides Level with Blood Pressure in Elderly Individuals in China

Zhang

et al. 2018

BioMed Research International

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Objectives To assess the extent of interaction between body mass index (BMI) and triglyceride (TG) level and its effects on blood pressure (BP) in elderly individuals in China. Design Cross-sectional study. Setting Data were taken from a cross-sectional study called the China Health and Retirement Longitudinal Study. Participants The analytic sample included 3629 subjects aged 45 to 96 years. Main Outcome Measurements Data were obtained from the China Health and Retirement Longitudinal Study, which is a cross-sectional study. Age-adjusted partial Pearson's correlation test was used to compare various characteristics and BP. Adjusted associations were first used as linear regression models, as appropriate. Then, general linear models adjusted for related potential confounders were used to examine the synergistic effects of BMI and TG level on BP. Finally, a binary logistic regression model adjusted for confounding factors was used to examine the association between BMI or TG level and hypertension. Results Age-adjusted partial Pearson's correlation coefficient showed that the TG level was positively correlated with both systolic blood pressure (SBP) and diastolic blood pressure (DBP) in both men and women with BMI < 24.0 kg/m2; however, TG level was positively correlated with DBP in women with BMI ≥ 24.0 kg/m2 but not with DBP in men with BMI ≥ 24.0 kg/m2. Multiple linear regression analysis showed that BMI level was significantly and positively associated with both SBP and DBP in men and women with BMI < 24.0 kg/m2, and TG level was significantly and positively associated with SBP in women with BMI < 24.0 kg/m2, independent of other confounding factors. A general linear model analysis with adjustment for confounding factors (age, educational level, marital status, current residence, smoking, eating habits, taking activities, antidiabetic medication, antihypertensive therapy, fasting plasma glucose [FPG], low-density lipoprotein cholesterol [LDL-C], estimated glomerular filtration rate [eGFR], and serum uric acid [SUA]) showed no interaction between BMI and TG level and SBP (men, β = 0.572, P = 0.845; women, β = 0.122, P = 0.923) and DBP (men, β = -0.373, P = 0.810; women, β = 0.272, P = 0.828). A binary logistic regression model analysis with adjustment for confounding factors (age, educational level, marital status, current residence, smoking, drinking, eating habits, taking activities, major accidental injury, physical activity, history of cardiovascular disease, history of liver disease, antilipidemic medication, antidiabetic medication, antihypertensive therapy, FPG, LDL-C, high-density lipoprotein cholesterol [HDL-C], eGFR, and SUA) showed that overweight and obese men and women were more likely to have hypertension (men: odds ratio [OR] = 1.781, 95% confidence interval [CI] = 1.393–2.277; women: OR = 1.653, 95% CI = 1.330–2.055) and women with high TG were more likely to have hypertension (OR = 1.558, 95% CI = 1.219–1.992). Conclusion An interactive effect of BMI and TG level on BP was not observed in either...

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“…The global incidence of T1D is reported to be increasing at a rate of 3% each year (Rahelic, ). In China, where the population includes a large proportion of young individuals, many people suffer from T1D (Huo et al, ). Optimal glycaemic control during adolescence yields long‐term benefits into adulthood (Carlsen et al, ).…”

Section: Introductionmentioning

confidence: 99%

“…However, studies showed that youths are at increased risk for suboptimal glycaemic control (Hartl, Seiffge-Krenke, & Laursen, 2015;Schwandt et al, 2017). According to studies from mainland China, youth had an average HbA 1c ranging from 8.25%-9.2% and more than 50% of these youth failed to achieve the goal of glycaemic control, namely, HbA 1c below 7.5% (Huo et al, 2018;McGuire et al, 2017;Yang et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

The effects of family functioning and resilience on self‐management and glycaemic control among youth with type 1 diabetes

Luo

Cai

et al. 2019

Journal of Clinical Nursing

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Aims and objectives To examine the effects of family functioning and resilience on self‐management and glycaemic control among youth with type 1 diabetes and to determine whether resilience mediates the effects of family functioning on self‐management and glycaemic control. Background Poor self‐management and glycaemic control are common in youth with type 1 diabetes. Family functioning and resilience are known to be important psychosocial factors that contribute to individual health and development. However, no studies have explored the effects of family functioning and resilience on self‐management and glycaemic control among youths with type 1 diabetes in mainland China. Design This study was conducted using a survey with a convenience sample following the STROBE guidelines. Methods A total of 204 Chinese youth who had been diagnosed with type 1 diabetes for at least 6 months were recruited. Family functioning, resilience, self‐management and diabetes distress were measured using self‐reports and standard measurement tools. Glycaemic control was assessed by glycated haemoglobin (HbA1C) levels. A structural equation model was used to test the hypothesised model. Results The final model accounted for 52.1% and 19.5% of the total variance of self‐management and HbA1C level, respectively. Resilience had a direct effect on self‐management and an indirect effect on control of HbA1C. Family functioning had an indirect effect on both self‐management and control of HbA1C through resilience. The model remained invariant across the mild‐distress and severe‐distress groups. Conclusion In Chinese youth with type 1 diabetes, resilience positively affected self‐management and ultimately optimised glycaemic control, even in the presence of diabetes distress. Family functioning positively affected self‐management and glycaemic control by promoting resilience. Relevance to clinical practice This study found that family functioning and resilience had positive effects on self‐management and glycaemic control in youth. This study confirms the importance of incorporating resilience assessments and family‐based resilience interventions into clinical nursing practice with youth with type 1 diabetes.

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Age distribution and metabolic disorders in people with Type 1 diabetes in Beijing and Shantou, China: a cross‐sectional study

Abstract: Compared with the general population, people with Type 1 diabetes comprised more young and fewer elderly individuals. The prevalence of metabolic syndrome in the Type 1 diabetes population was 10.1%. Hypertension and dyslipidaemia were more prevalent in obese than non-obese individuals.

Cited by 16 publications

References 29 publications

Prevalence of Metabolic Syndrome and Its Determinants in Newly-Diagnosed Adult-Onset Diabetes in China: A Multi-Center, Cross-Sectional Survey

Prevalence of Metabolic Syndrome and Its Determinants in Newly-Diagnosed Adult-Onset Diabetes in China: A Multi-Center, Cross-Sectional Survey

Association and Interaction Analysis of Body Mass Index and Triglycerides Level with Blood Pressure in Elderly Individuals in China

The effects of family functioning and resilience on self‐management and glycaemic control among youth with type 1 diabetes

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