Gender Difference of Metabolic Syndrome and Its Association Between Dietary Diversity at Different Ages

NCT03237598 | Completed

• 1 other identifier: DDS and MetS
• Study Type: observational
• Target: 4,308
• Locations: 0 countries
• Sites: N/A

Brief Summary

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.).

Conditions

Metabolic Syndrome; Dietary Diversity; Age

Outcome Measures

Primary Outcomes (1)

• Metabolic syndrome

  MetS was defined according to the harmonized definition of the International Diabetes Federation and other organizations , that three or more out of five following criteria are considered as MetS: (1) central adiposity (WC \>102 cm in men and \>88cm in women); (2) serum HDL-C \< 50 mg/dL in women or \< 40 mg/dL in men; (3) serum triglyceride levels \> 150 mg/dL; (4) SBP ≥ 130mm Hg or DBP ≥ 85mm Hg; (5) fasting plasma glucose ≥100 mg/dL.

  through study completion, an average of 1 year

Study Arms (2)

male

young (≥18 and ≤45), adult (45\~60), and old (\>60) , n=1960

female

young (≥18 and ≤45), adult (45\~60), and old (\>60) , n=2348

Eligibility Criteria

• Age: 18 Years - 99 Years
• Sex: all
• Age Groups: Adult (18-64), Older Adult (65+)
• Sampling Method: Non-Probability Sample

Study Population

Finally, 4308 participants were included in the present study, of which 2348 are female, and 1960 are male.

You may qualify if:

• In the present study, participants were extracted from 2009, as the biochemical data was only available in 2009. Only adults (≥18 years old) with complete information on food consumption and biochemical data were included in our analysis (n=5118).

You may not qualify if:

• We excluded women who were pregnant or lactating (n=41). To avoided the distortion of outlier, adults with implausible daily energy intake (\>7000kcal or \<520kcal) were censored (n=4). Meanwhile, adults who have a history of metabolic related disease, such as myocardial infarction (n=15), diabetes (n=90), and apoplexy (n=31) were excluded, because their diet might be changed after diagnostic disease. In addition, we also excluded people who take antihypertensive drugs (n=507). After matching food data with biochemical and anthropometric data and biochemical data, individuals with incomplete information was removed (n=122).

Sponsors & Collaborators

• Nanjing Medical University: lead

MeSH Terms

Conditions

Metabolic Syndrome

Condition Hierarchy (Ancestors)

Insulin Resistance; Hyperinsulinism; Glucose Metabolism Disorders; Metabolic Diseases; Nutritional and Metabolic Diseases

Study Officials

• Hui Wang, Dr

  Nanjing Medical University

  PRINCIPAL INVESTIGATOR

Study Design

• Study Type: observational
• Observational Model: OTHER
• Time Perspective: CROSS SECTIONAL
• Sponsor Type: OTHER
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: Principal Investigator

Study Record Dates

• First Submitted: July 26, 2017
• First Posted: August 2, 2017
• Study Start: January 1, 2009
• Primary Completion: December 31, 2009
• Study Completion: July 1, 2017
• Last Updated: August 2, 2017

Record last verified: 2017-08

Data Sharing

• IPD Sharing: Will not share