| Title |
Evaluation of serum lipid profile, body mass index, and waistline in Chinese patients with type 2 diabetes mellitus
|
|---|---|
| Published in |
Clinical Interventions in Aging, April 2016
|
| DOI | 10.2147/cia.s104803 |
| Pubmed ID | |
| Authors |
Rongtao Cui, Zhiming Qi, Lin Zhou, Zuohong Li, Qing Li, Junyong Zhang |
| Abstract |
People with type 2 diabetes are at an increased risk of hypertension, arteriosclerosis, heart disease, and stroke. Glucose intolerance (insulin resistance) is the main feature of type 2 diabetes. Obesity leads to insulin resistance, dyslipidemia, etc. The aim of this study was to assess the biochemical parameters and measures of obesity in type 2 diabetes mellitus (T2DM). A total of 2,273 males and 6,547 females previously healthy volunteers (aged 41-95 years old) were recruited by open invitation. The basic information, including age, sex, height, weight, body mass index (BMI), waistline, hipline, menstrual cycle, and medical history, was collected by questionnaire survey and physical examination. Serum lipid profile, liver transaminase, blood glucose, postprandial blood glucose, and hemoglobin A1c were obtained after 12 hours of fasting. According to our results, diabetic patients presented serum lipid abnormality. Elevated triglyceride (TG) levels (≥1.7 mmol/L) were noted in 19.69% of males and 20.40% of females, and reduced high-density lipoprotein cholesterol (HDL-C) levels (≤1.15 mmol/L) were noted in 21.96% of males and 15.74% of females. The combination of elevated TG and reduced HDL-C was the most prevalent of the combined lipid abnormalities. In contrast, no differences were observed in the levels of low-density lipoprotein cholesterol and total cholesterol. Moreover, there were statistically significant differences in the levels of BMI and waistline between T2DM and non-T2DM participants. After adjustment for BMI, logistic regression analysis revealed that the subjects with BMI ≤20 kg/m(2) and >30 kg/m(2) had a significantly elevated hazard ratio of T2DM compared with participants having a BMI range of 20-30 kg/m(2) in both males and females. However, there was a significant difference between T2DM patients and non-T2DM patients in waistline (χ (2)=8.57, P<0.001) than in BMI parameter (χ (2)=6.29, P<0.001). The present study shows for the first time that low levels of HDL-C, high levels of TG, and abnormal levels in BMI and waistline increase the risk of type 2 T2DM in Chinese people. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 1% |
| Unknown | 71 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 14 | 19% |
| Student > Master | 7 | 10% |
| Student > Doctoral Student | 4 | 6% |
| Researcher | 4 | 6% |
| Professor > Associate Professor | 4 | 6% |
| Other | 10 | 14% |
| Unknown | 29 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 22 | 31% |
| Nursing and Health Professions | 6 | 8% |
| Biochemistry, Genetics and Molecular Biology | 4 | 6% |
| Unspecified | 1 | 1% |
| Environmental Science | 1 | 1% |
| Other | 6 | 8% |
| Unknown | 32 | 44% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 05 May 2016.
All research outputs
#19,945,185
of 25,374,917 outputs
Outputs from Clinical Interventions in Aging
#1,407
of 1,968 outputs
Outputs of similar age
#219,497
of 314,727 outputs
Outputs of similar age from Clinical Interventions in Aging
#33
of 53 outputs
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