1.Relation between dietary patterns and insulin resistance in 40-59 years old Guangzhou adults.
Shu-yu ZHUO ; Bo ZHANG ; Ying XU ; Xiao-xing ZHOU ; Li-li HUANG ; Li-na SUN ; Yi-xiang SU
Chinese Journal of Preventive Medicine 2008;42(10):748-752
OBJECTIVETo evaluate the overall diet quality of adults in Guangzhou and investigate whether adherence to the Dietary Guidelines for Chinese Residents could help to reduce the risk of obesity and insulin resistance.
METHODSAll 540 adults aged 40-59 years completed 3 consecutive 24-hour diet recalls. Diet quality were evaluated by using Chinese Diet Balance Index (DBI) scoring and evaluating system. Anthropometric parameters, fast glucose and fast insulin were measured. Insulin resistance was defined as the highest quartile of the homeostasis model assessment scores.
RESULTSThe DBI-Lower Bound Score (DBI-LBS), DBI-Higher Bound Score (DBI-HBS) and DBI-Diet Quality Distance (DBI-DQD) were 16.1-17.5, 7.6-8.2, 23.6-25.7 relatively. The intake of cereals, beans and dietary products were insufficient in the population, while the intake of animal food, salt and edible oils were excessive. Subjects in model A had a lower body mass index (BMI, P=0.022) and waist-to-hip ratio (WHR, P=0.001) than those in model E. Compared with model A, subjects in model E had greater odds ratio for insulin resistance (odds ratio: 3.00; 95% CI: 1.21, 7.67).
CONCLUSIONThe dietary structure of the residents in Guangzhou was relatively balanced and reasonable, but the problems such as inadequate food intake and excessive food intake still co-exist. Adherence to the Dietary Guidelines for Chinese Residents could help to reduce the risk of insulin resistance.
Adult ; China ; Feeding Behavior ; ethnology ; Female ; Humans ; Insulin Resistance ; ethnology ; Male ; Middle Aged ; Nutrition Surveys ; Surveys and Questionnaires
2.Relationship study of angiotensin II type 1 receptor gene A1166C polymorphism, food consumption and behavior on hypertension in Kazakh group, Xinjiang.
Shu-xia GUO ; Yu-lei DING ; Jing-yu ZHANG ; Heng GUO ; Yi-hua ZHANG ; Shang-zhi XU ; Qiang NIU ; Feng SUN
Chinese Journal of Preventive Medicine 2009;43(9):772-775
OBJECTIVETo investigate the polymorphism of angiotensin II type 1 receptor (AT(1R)) gene A1166C and environmental factors on hypertension of Kazakh people.
METHODSThrough the random program of SPSS 13.0, 220 cases were randomly selected from the confirmed hypertension patients, and 220 cases with normal blood pressure were selected as control group. All cases were investigated through the questionnaire and the related indexes were measured. By polymerase chain reaction (PCR) method, the genotypes were determined.
RESULTS(1) In hypertension group, the genotype frequency of AA and AC were 78.6% (173/220) and 21.4% (47/220), respectively, compared with control groups' 81.4% (179/220) and 18.6% (41/220), no significant difference was identified between these two groups (chi(2) = 0.537, P > 0.05). In hypertension group, the frequency of A and C allele were 89.0% and 11.0%, respectively, compared with 90.3% and 9.7% in control group. There was no significant difference between these two groups (chi(2) = 0.37, P > 0.05). (2) AC genotype might interact with excessive salt consumption (hypertension group, 31/220, 15.5%; control group 10/220, 4.5%, OR: 4.67, 95%CI: 2.15 - 10.15), overweight (hypertension group, 19/220, 8.6%; control group, 9/220, 4.1%, OR: 6.96, 95%CI: 2.33 - 20.76) and drinking large volume of salty milk (hypertension group, 20/220, 9.1%; control group, 10/220, 4.5%, OR: 2.67, 95%CI: 1.11 - 6.42) which will raise hypertension hazard of AC genotype.
CONCLUSIONThere is no relationship between the A1166C gene polymorphism of AT(1R) gene and hypertension of Kazakh people. AC genotypes might also interact with food consumption habit and behavior factors and increase the individual risk of hypertension.
Adult ; Alleles ; Case-Control Studies ; China ; epidemiology ; Feeding Behavior ; Female ; Gene Frequency ; Genotype ; Humans ; Hypertension ; epidemiology ; ethnology ; genetics ; Male ; Middle Aged ; Polymorphism, Genetic ; Receptor, Angiotensin, Type 1 ; genetics ; Smoking
3.Complementary feeding patterns among ethnic groups in rural western China.
Peng-Fei QU ; Ya ZHANG ; Jia-Mei LI ; Ruo ZHANG ; Jiao-Mei YANG ; Fang-Liang LEI ; Shan-Shan LI ; Dan-Meng LIU ; Shao-Nong DANG ; Hong YAN
Journal of Zhejiang University. Science. B 2018;19(1):71-78
OBJECTIVE:
This study investigated complementary feeding practices among four ethnic groups (Han, Uygur, Tibetan, and Zhuang) based on a cross-sectional survey in rural western China.
METHODS:
In 2005, a stratified multistage cluster random sampling method was used to recruit 9712 children (7411 Han, 1032 Uygur, 678 Tibetan, and 591 Zhuang) between 6 and 35 months of age and their mothers from 45 counties in 10 provinces (autonomous regions, municipalities) in western China.
RESULTS:
The rates of early introduction (before 6 months) of complementary foods in four ethnic groups (Han, Uygur, Tibetan, and Zhuang) were 71.30%, 95.95%, 82.40%, and 72.30%, respectively. The Infant and Child Feeding Index (ICFI) for Uygur and Tibetan children was lower than that for Han children at all age groups. Uygur children were more likely to have unqualified ICFI compared with Han children in a multivariate logistic regression (odds ratio (OR)=5.138, 95% confidence interval (CI): 4.340-6.084). A higher level of maternal education, greater family wealth, and the availability of complementary feeding educational materials decreased the likelihood of an unqualified ICFI. The nutritional status of children (Han, Tibetan, and Zhuang) with qualified ICFI was better than that for children with unqualified ICFI.
CONCLUSIONS
Appropriate interventions are required to improve complementary feeding practices in rural western China.
Adult
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Asian People
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Child, Preschool
;
China
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Cluster Analysis
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Cross-Sectional Studies
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Educational Status
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Ethnicity
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Feeding Behavior/ethnology*
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Female
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Humans
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Infant
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Infant Nutritional Physiological Phenomena/ethnology*
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Infant, Newborn
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Male
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Multivariate Analysis
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Nutritional Status
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Odds Ratio
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Rural Population
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Social Class
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Surveys and Questionnaires
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Young Adult