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Association of serum oleic acid level with depression in American adults: a cross-sectional study.


ABSTRACT:

Background

As the most abundant fatty acid in plasma, oleic acid has been found to be associated with multiple neurological diseases; however, results from studies of the relationship between oleic acid and depression are inconsistent.

Methods

This cross-sectional study analyzed 4,459 adults from the National Health and Nutrition Examination Survey 2011-2014. The following covariates were adjusted in multivariable logistic regression models: age, sex, race/ethnicity, education level, marital status, body mass index, physical activity, smoking status, alcohol status, metabolic syndrome, omega-3 polyunsaturated fatty acids, and total cholesterol.

Results

Serum oleic acid levels were positively associated with depression. After adjusting for all covariates, for every 1 mmol/L increase in oleic acid levels, the prevalence of depression increased by 40% (unadjusted OR: 1.35, 95%CI: 1.16-1.57; adjusted OR: 1.40, 95% CI: 1.03-1.90).

Conclusions

Our study suggests that oleic acid may play a role in depression. Further research is needed to investigate the potential benefits of changing oleic acid levels for the treatment and prevention of depression.

SUBMITTER: Yin J 

PROVIDER: S-EPMC10652490 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature

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Publications

Association of serum oleic acid level with depression in American adults: a cross-sectional study.

Yin Jiahui J   Li Siyuan S   Li Jinling J   Gong Rongpeng R   Jia Zhixia Z   Liu Junjun J   Jin Zhi Z   Yang Jiguo J   Liu Yuanxiang Y  

BMC psychiatry 20231116 1


<h4>Background</h4>As the most abundant fatty acid in plasma, oleic acid has been found to be associated with multiple neurological diseases; however, results from studies of the relationship between oleic acid and depression are inconsistent.<h4>Methods</h4>This cross-sectional study analyzed 4,459 adults from the National Health and Nutrition Examination Survey 2011-2014. The following covariates were adjusted in multivariable logistic regression models: age, sex, race/ethnicity, education lev  ...[more]

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