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This study aims to include type 2 diabetes (T2DM) patients comorbid with metabolic syndrome (MetS). The primary aim of the study is to investigate the TCM (Traditional Chinese Medicine) syndrome differentiation of T2DM comorbid with MetS.
This study adopts a cross-sectional design, to include type 2 diabetes (T2DM) patients comorbid with metabolic syndrome (MetS). The primary aim of the study is to investigate the TCM (Traditional Chinese Medicine) syndrome differentiation of patients with T2DM and MetS. The demographic data, anthropometric data, fasting glucose and HbA1c, lipid panel, TCM syndrome differentiation information, dietary assessment, physical activity, sleep quality, and quality of life, will be assessed.
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Cross-sectional observational study | Other | This is a cross-sectional observational study. No intervention will be given. |
| Measure | Description | Time Frame |
|---|---|---|
| TCM syndrome differentiation | A registered Chinese medicine practitioner (CMP) will conduct the TCM syndrome differentiation assessment using a standardized questionnaire, incorporating four TCM diagnostic methods. | Baseline |
| Measure | Description | Time Frame |
|---|---|---|
| Demographic data | Gender, date of birth, living status, marital status, education level, income status, occupation, work status, smoking history, alcohol consumption history, allergy history, medical history, etc. | Baseline |
| Anthropometric data |
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Inclusion Criteria:
Exclusion Criteria:
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This study adopts a cross-sectional design, to include subjects with type 2 diabetes (T2DM) patients comorbid with metabolic syndrome (MetS), irrespective of T2DM duration.
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| Name | Affiliation | Role |
|---|---|---|
| Jialing ZHANG, PhD | Hong Kong Baptist University | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Hong Kong Baptist University | Hong Kong | Hong Kong |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 42388871 | Derived | Zhang J, Lin Z, Zhong S, Ma M, Wong HK, Li LS, Lo KKH, Bian Z. Traditional Chinese medicine syndrome patterns and associated factors in adults with type 2 diabetes and metabolic syndrome: a data-driven analysis. Front Endocrinol (Lausanne). 2026 Jun 17;17:1843491. doi: 10.3389/fendo.2026.1843491. eCollection 2026. | |
| 41576380 | Derived |
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| ID | Term |
|---|---|
| D003924 | Diabetes Mellitus, Type 2 |
| D024821 | Metabolic Syndrome |
| ID | Term |
|---|---|
| D003920 | Diabetes Mellitus |
| D044882 | Glucose Metabolism Disorders |
| D008659 | Metabolic Diseases |
| D009750 | Nutritional and Metabolic Diseases |
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Anthropometric measurements such as skin fold thickness measurements.
| Baseline |
| Fasting glucose | Fasting glucose level is measured. | Baseline |
| Lipid panel | Total cholesterol, triglycerides, high-density lipoprotein, low-density lipoprotein levels are measured. | Baseline |
| Hemoglobin A1c (HbA1c) | HbA1C level is measured. | Baseline |
| Framingham Stroke Risk Score (FSRS) | Framingham Stroke Risk Score (FSRS) is calculated based on variables such as age, cholesterol, blood pressure, diabetes, and smoking. Individuals with low risk have 10% or less risk at 10 years, with intermediate risk 10-20%, and with high risk 20% or more. | Baseline |
| International Physical Activity Questionnaire Short Form (IPAQ-SF) | International Physical Activity Questionnaire Short Form (IPAQ-SF) has been recommended as a cost-effective method to assess physical activity. The IPAQ-SF evaluates the number of days and time spent performing MVPA, walking, and sitting in bouts of at least 10 min over the previous 7 days. The summary score is expressed in PA metabolic equivalent of task (MET)-min per day or week. | Baseline |
| Audit of diabetes-dependent quality of Life (ADDQoL) | Audit of diabetes-dependent quality of Life (ADDQoL) consists of 2 overview items; one measures generic overall QoL and a further 19 items are concerned with the impact of diabetes on specific aspects of life. The scales range from -3 to +1 for 19 life domains (impact rating) and from 0 to +3 in attributed importance (importance rating). A weighted score for each domain is calculated as a multiplier of impact rating and importance rating (ranging from -9 to +3). Lower scores reflect poorer QOL. | Baseline |
| Pittsburgh sleep quality index (PSQI) | Pittsburgh sleep quality index (PSQI) was a 19-item questionnaire used to assess sleep dysfunction over a 1-month period. The total score for the PSQI varies from 0 to 21. A PSQI total score >5 is indicative of poor sleep. | Baseline |
| Dietary assessment | Dietary intake will be assessed via food frequency questionnaire (FFQ). The 60-item FFQ (<30 min for administration) with food items will be used. | Baseline |
| Zhang J, Wong HK, Lin Z, Zhong S, Ma M, Wang X. Traditional Chinese Medicine Syndrome Differentiation of Adult Patients With Type 2 Diabetes and Metabolic Syndrome: Protocol for a Cross-Sectional Study. JMIR Res Protoc. 2026 Jan 23;15:e86217. doi: 10.2196/86217. |
| D004700 | Endocrine System Diseases |
| D007333 | Insulin Resistance |
| D006946 | Hyperinsulinism |