Metabolic Syndrome Clinical Trial
Official title:
China Nutrition and Health Survey
With the development of economics in China, the dietary diversity got higher. Meanwhile, the
prevalence of metabolic syndrome (MetS) raised up as well. To investigate the gender
difference of getting MetS and its various associations with dietary diversity at different
ages.Data of adults(n=4308) aged 18+ y with three consecutive 24-h recalls and complete
co-variates information were extracted from Chinese Nutrition and Health Survey in 2009.
Modified Dietary Diversity Score (DDS) was adopted to capture the diversity of diet. MetS was
defined by the harmonized criteria. Multivariable adjusted logistic regression was carried
out to detect the association between DDS and MetS and its components for young, middle aged
and elderly adults by a cross-sectional study.
More detailed information can be found in Pubmed,PMID: 24341753 (The China Health and
Nutrition Survey, 1989-2011.).
Population and data collection Chinese Nutrition and Health Survey (CHNS) was implemented by
the University of North Carolina at Chapel Hill (UNC-CH) and the Chinese Institute of
Nutrition and Food Safety (INFS), and China Center for Disease Control and Prevention (CCDC).
This survey was approved by the Institutional Review Board of aforementioned institutions.
All participants provided the written informed consent. Detailed information about this
survey and laboratory examinations has been described elsewhere .
Dietary assessment and dietary diversity score Individual daily food consumption data were
collected through face-to-face interviews for 3 consecutive days which are randomly
distributed within one week. Trained field interviewers helped each participants recall the
food that they consumed at home and outside in a 24-h period and recorded the codes (listed
in the Food Composition Table of China), types, amounts, and locations of consumption for
each food item by using food models and pictures. More detailed information about the dietary
data in CHNS has been previously reported (The China Health and Nutrition Survey,
1989-2011,PMID: 24341753 .).
In line with previous studies, the investigator combine the original 12 major food categories
in Chinese Food Composition Table into 6 broad groups (grains, vegetables, fruits,
meat/poultry/seafood, dairy, and beans/eggs/nuts) based on similarities in nutrient
composition and dietary function. Detailed information about DDS has been depicted in
previous study(PMID: 27848939). Foods consumed less than a minimum amount (25g) per day was
excluded to avoid measurement error caused by negligible consumption. Since the consumption
of dairy was generally low in Chinese dietary, the cutoff point was adjusted to 10g per day.
The DDS value ranges from 0 to 6 and higher value indicates greater diversity of diet.
Outcome variables and covariates Waist circumference was measured around the body at the top
of the hipbone, using an unstretched tape over the light cloth. Measurement was conducted
without putting any pressure to body surface, and the value was recorded to the nearest
0.1cm.Height and weight was measured by trained health worker using regularly calibrated
equipments under the instructions of manufacturers. BMI was calculated by dividing the weight
(kg) by the square of the height (m2). Blood pressure was measured after thrice rest in a
seated position, each rest lasts for 5 minutes. It was utilized to calculate the average
value of systolic blood pressure (SBP) and diastolic blood pressure (DBP). Blood sample was
collected after 12-14h overnight fasting from all participants, and was stored in vacationer
tubes. All blood samples were analyzed in the central laboratories of China-Japan Friendship
Hospital. Fasting plasma glucose was measured by glucose oxidase-3'-phosphoadenosine
5'-phosphate (GOD-PAP), using the kit produced by Randox, United Kingdom (UK). Serum
high-density lipoprotein cholesterol (HDL-C) concentration was measured by enzymatic method;
serum triglyceride levels was measured by cholesterol oxidase peroxidase -
3'-phosphoadenosine 5'-phosphate (CHOD-PAP); these two testing reagent were produced by the
Kyowa, Japan. The last three indices were measured by the Hitachi 7600 machine. Detailed
information about blood collection and test are presented in appendix 1.
Information about sex, age, income per capita, and educational level (Primary, middle and
high) can be found in previous study, total energy intake, smoking status (0= currently not
smoking, 1= currently smoking) and drinking status (0= did not drink in the past year, 1=
drank alcohol in the past year), and residential area (urban and rural, north and south) were
collected as co-variables. Physical activity was defined according to occupation (1=light
physical activity, working in a sitting or standing position, such as office worker, teacher;
2=moderate physical activity, such as student or driver; 3= heavy physical activity, such as
farmers, loader, miner), and adjusted in the model as well. Adults were categorized into
three age groups according to the World Health Organization (WHO) standards (young: ≥18 &
≤45; adult: >45 & ≤60; old: >60).
Statistical analysis First, in order to investigate whether the association between dietary
diversity and MetS varies between men and women, an interaction term between sex and DDS was
added into the multivariable linear model. Accordingly, the descriptive statistical were
presented at each tertiles of DDS for each sex(1st, ≤3; 2nd, 4; 3rd, 5-6). Continuous
variates are presented as means ± standard deviations and categorical variables are presented
as percentages.
The association between DDS and MetS and its individual components was detected by
multivariable-adjusted logistic regression, both the OR values and 95% CI were presented.
Sex, income per capita, educational level, physical activity, age and age squared, smoking
and drinking status, fat share, total energy intake, and residential location were adjusted
in the multivariable regression model. Income and total energy intake were measured in
logarithm. The association between predicted probability of MetS and age was mapped using
kernel weighted local polynomial smoothing; both the fitted probability and 95% confidence
interval were presented. The linear trend of odds ratio for DDS was tested by taking DDS as
continuous variable in the multivariable logistic regression.
All analyses were performed with Stata multi processing (MP) 13.0 (Stata Crop, USA) and
P<0.05 was considered as statistical significance.
;
Status | Clinical Trial | Phase | |
---|---|---|---|
Recruiting |
NCT04635202 -
Effect of Elliptical Training on Metabolic Homeostasis in Metabolic Syndrome
|
N/A | |
Completed |
NCT05343858 -
Pilot Study to Evaluate the Effect of Two Microalgae Consumption on Metabolic Syndrome
|
N/A | |
Completed |
NCT04053686 -
An Intervention to Reduce Prolonged Sitting in Police Staff
|
N/A | |
Active, not recruiting |
NCT05891834 -
Study of INV-202 in Patients With Obesity and Metabolic Syndrome
|
Phase 2 | |
Recruiting |
NCT05040958 -
Carotid Atherosclerotic Plaque Load and Neck Circumference
|
||
Completed |
NCT03644524 -
Heat Therapy and Cardiometabolic Health in Obese Women
|
N/A | |
Active, not recruiting |
NCT02500147 -
Metformin for Ectopic Fat Deposition and Metabolic Markers in Polycystic Ovary Syndrome (PCOS)
|
Phase 4 | |
Recruiting |
NCT03227575 -
Effects of Brisk Walking and Regular Intensity Exercise Interventions on Glycemic Control
|
N/A | |
Recruiting |
NCT05972564 -
The Effect of SGLT2 Inhibition on Adipose Inflammation and Endothelial Function
|
Phase 1/Phase 2 | |
Completed |
NCT03289897 -
Non-invasive Rapid Assessment of NAFLD Using Magnetic Resonance Imaging With LiverMultiScan
|
N/A | |
Recruiting |
NCT05956886 -
Sleep Chatbot Intervention for Emerging Black/African American Adults
|
N/A | |
Completed |
NCT06057896 -
Effects of Combined Natural Molecules on Metabolic Syndrome in Menopausal Women
|
||
Active, not recruiting |
NCT03613740 -
Effect of Fucoxanthin on the Metabolic Syndrome, Insulin Sensitivity and Insulin Secretion
|
Phase 2 | |
Completed |
NCT04498455 -
Study of a Prebiotic Supplement to Mitigate Excessive Weight Gain Among Physicians in Residency
|
Phase 4 | |
Completed |
NCT05688917 -
Green Coffee Effect on Metabolic Syndrome
|
N/A | |
Completed |
NCT04117802 -
Effects of Maple Syrup on Gut Microbiota Diversity and Metabolic Syndrome
|
N/A | |
Completed |
NCT03697382 -
Effect of Daily Steps on Fat Metabolism
|
N/A | |
Completed |
NCT03241121 -
Study of Eating Patterns With a Smartphone App and the Effects of Time Restricted Feeding in the Metabolic Syndrome
|
N/A | |
Completed |
NCT04509206 -
Virtual Teaching Kitchen
|
N/A | |
Completed |
NCT05124847 -
TREating Pediatric Obesity
|
N/A |