Dataset Information

Subgroup analysis of the influence of body mass index on the association between serum lipids and cognitive function in Chinese population.

ABSTRACT: BACKGROUND:Previous studies reported that the association between lipid levels and cognitive function is related with gender, age and specific cognitive domains, but the influence of body mass index (BMI) on this association is limited. This triggered interest in exploring how serum lipids relate to cognitive function in different subgroups. METHODS:Data was collected from 2009 wave and 2015 wave of China Health and Nutrition Survey (CHNS). Multivariable linear regression analyses examined serum lipids level as predictors of sex- and age-specific measure of cognitive function in different BMI levels, which were adjusted for nationality, BMI, systolic blood pressure (SBP), diastolic blood pressure (DBP), smoking status, alcohol consumption and education level. RESULTS:Cognitive function score have different concentration curves in serum lipids quartile levels in different BMI categories. After adjustment for confounding factors, serum TG was positively associated with cognitive function score in underweight (??±?SE: 2.06?±?0.88, P?=?0.023) and obese (??±?SE: 1.44?±?0.71, P?=?0.045) male group, and serum HDL-C was positively associated with cognitive function score in overweight (??±?SE: 1.89?±?0.92, P?=?0.041) and obese (??±?SE: 5.04?±?1.62, P?=?0.002) female group. Serum TC was negatively associated with cognitive function score in overweight (??±?SE: -?2.55?±?1.26, P?=?0.043) mid-life adults, and serum HDL-C was positively associated with cognitive function score in overweight (??±?SE: 2.15?±?0.94, P?=?0.022) and obese (??±?SE: 5.33?±?2.07, P?=?0.011) older adults. CONCLUSION:The associations of serum lipids with cognitive function were related with BMI levels and differed between gender and age groups. This result indicated that better nutritional status has superior cognitive function performance.

SUBMITTER: Li J

PROVIDER: S-EPMC7282081 | biostudies-literature | 2020 Jun

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Subgroup analysis of the influence of body mass index on the association between serum lipids and cognitive function in Chinese population.

Li Jiang J Cao Yongtong Y Xiao Cheng C

Lipids in health and disease 20200608 1

<h4>Background</h4>Previous studies reported that the association between lipid levels and cognitive function is related with gender, age and specific cognitive domains, but the influence of body mass index (BMI) on this association is limited. This triggered interest in exploring how serum lipids relate to cognitive function in different subgroups.<h4>Methods</h4>Data was collected from 2009 wave and 2015 wave of China Health and Nutrition Survey (CHNS). Multivariable linear regression analyses ...[more]

PMID: 32513187

Similar Datasets

Project description:BackgroundApolipoprotein E (APOE) polymorphism is associated with lipid levels. Some studies have reported that blood lipid response to diet or obesity varies depending on APOE genotypes. The aim of this study was to assess the effect of APOE genotypes, the intake of saturated fatty acids (SFA), and obesity on serum lipid levels in Lithuanian adult population.Methodology/principal findingsA cross-sectional health survey was carried out in five municipalities of Lithuania. The random sample was obtained from lists of 25-64 year-old inhabitants registered at primary health care centres. The data from 996 subjects (416 men and 580 women) were analysed in this study. Two single-nucleotide polymorphisms (rs429358 and rs7412) were assessed using a real-time polymerase chain reaction. 24-hour recall and food frequency questionnaire were used for evaluation of dietary habits. Serum lipids were determined using enzymatic methods. Men and women with the APOE2 genotype had the lowest level of total cholesterol (TC) (p = 0.002 for men, and p = 0.02 for women) and low-density lipoprotein cholesterol (LDL-C) (p<0.001). Multivariate linear regression analysis showed that age, genotype APOE2, SFA intake, and body mass index (BMI) were significant determinants of TC and LDL-C level (with p values ranging from 0.043 to 0.001). Our data did not reveal any statistically significant interactions between APOE genotype and SFA intake or between APOE genotype and BMI regarding TC and LDL-C level (all p>0.05). However, the predictive power of the regression model for LDL-C improved when gene-BMI interaction and gene-BMI interaction plus gene-nutrient interaction were added (p = 0.04 and p = 0.032 for R(2) change, respectively).Conclusions/significanceAPOE genotypes, SFA intake, and obesity were found to be associated with blood lipid levels in Lithuanian adult population. Analysis of gene-diet and gene-obesity interactions did not confirm that the effects of diet and obesity on TC and LDL-C level significantly depended on APOE genotype.

Project description:BACKGROUND:Perfluorooctanoate (PFOA) has been used extensively in the manufacture of both commercial and household products. PFOA serum concentrations have been associated with adverse health effects, including lower body mass in children and infants. OBJECTIVE:To determine if there is an association between serum PFOA concentration and body mass, serum insulin and lipid profile in exposed young girls. METHODS:We conducted a cross-sectional study of PFAS environmental biomarkers and insulin resistance in 6 to 8 year-old girls from Greater Cincinnati (n=353). In 2004-2006, blood samples were obtained to measure polyfluoroalkyl substances (PFAS), fasting insulin, glucose and lipids. Clinical exams included anthropometric measurements and pubertal maturation staging. Linear regression and mediation analyses, specifically structural equation modeling (SEM), were used to determine the strength and direction of the relationships between PFAS, pubertal maturation status, body mass index (BMI), cholesterol and insulin resistance. RESULTS:The median PFOA (7.7ng/ml) was twice the National Health and Nutrition Examination Survey (2005-2006). Only PFOA, a PFAS sub-species, showed statistically significant relationships with the outcomes. In regression models, PFOA was associated with decreased BMI and waist-to-height ratio (p=0.0008; p=0.0343), HDL-cholesterol (p=0.0046) and had a borderline inverse association with the HOMA Index of insulin resistance (p=0.0864). In SEM, PFOA retained an inverse relationship with BMI (p<0.0001) but the relationships with HOMA and HDL-cholesterol were no longer statistically significant. Pubertal initiation (Tanner breast or pubic stage 2 or greater) and BMI were associated with increased HOMA Index (p<0.0001). CONCLUSIONS:These findings suggest PFOA exposure in young girls affects both BMI and ultimately insulin resistance. In mediation analysis with puberty in the model, the direct effects of PFOA on insulin resistance and were reduced.

Project description:Importance:There is some support for the existence of genetic associations between adiposity and certain hepatobiliary diseases in Western populations. However, there is little evidence of such genetic associations in China, where the causes of these diseases may differ from those in Western populations and the mean body mass index (BMI) is much lower. Objectives:To compare the observational associations of BMI with hepatobiliary diseases and liver biomarkers with the genetic associations between BMI and these factors and to assess whether the genetic associations of BMI with liver diseases differed by hepatitis B virus infection status. Design, Setting, and Participants:This cohort study used data from the prospective China Kadoorie Biobank, including 473?938 adults aged 30 to 79 years without hepatobiliary diseases at baseline from 10 diverse areas in China from June 25, 2004, to July 15, 2008. A random sample of 75?736 participants with genotyping data was included in the Mendelian randomization analysis. Follow-up was completed January 1, 2017 (median [interquartile range] length of follow-up, 10.2 [9.2-11.1] years). Data were analyzed from January to October 2019. Exposures:Measured BMI obtained during the baseline survey and genetically instrumented BMI derived using 92 single-nucleotide variations. Main Outcomes and Measures:Incident cases of hepatobiliary diseases, liver enzymes, fatty liver index, and fibrosis score. Results:Among 473?938 individuals (276?041 [58.2%] women), the mean (SD) age was 52 (10.9) years and mean (SD) BMI was 23.8 (3.4). Baseline BMI was associated with higher risks of chronic liver disease (adjusted risk ratio per 1-SD increase, 1.14; 95% CI, 1.11 to 1.17) and gallbladder disease (adjusted risk ratio per 1-SD increase, 1.29; 95% CI, 1.27 to 1.31), with heterogeneity by disease subtype (P?<?.001). Genetically instrumented BMI was associated with higher risks of chronic liver disease (risk ratio per 1-SD increase, 1.55; 95% CI, 1.08 to 2.24) and gallbladder disease (risk ratio per 1-SD increase, 1.40; 95% CI, 1.11 to 1.76), with no heterogeneity between subtypes. A meta-analysis of the genetic associations in China Kadoorie Biobank and those calculated in UK Biobank gave a risk ratio of 1.55 (95% CI, 1.30 to 1.84) for chronic liver disease and 1.42 (95% CI, 1.22 to 1.64) for gallbladder disease. In the China Kadoorie Biobank study, there were positive genetic associations of BMI with liver enzymes, steatosis, and fibrosis scores, consistent with observational associations. The genetic associations of BMI with liver diseases and biomarkers did not differ by hepatitis B virus infection status. Conclusions and Relevance:In this cohort study of a relatively lean Chinese population, there were positive genetic associations of BMI with hepatobiliary diseases. These results suggest that maintaining a healthy weight through diet and physical activity may help prevent hepatobiliary diseases.

Dataset Information

Subgroup analysis of the influence of body mass index on the association between serum lipids and cognitive function in Chinese population.

Publications

Subgroup analysis of the influence of body mass index on the association between serum lipids and cognitive function in Chinese population.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure