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- Title
Is thyroid status associated with cognitive impairment in elderly patients in China?
- Authors
Yao Hu; Zhi-cheng Wang; Qi-hao Guo; Wei Cheng; Yan-wen Chen
- Abstract
Background: The relationship between alterations in thyroid function and cognitive deficits has been investigated in several previous studies. Hypo-or hyperthyroidism and, to a lesser extent, subclinical thyroid dysfunction can negatively affect cognitive performance. However, limited data are available on the potential association of thyroid function with mild cognitive impairment (MCI) and Alzheimer's disease (AD) in the elderly Chinese population. Methods: In the present study focusing on a population of elderly Chinese individuals ≥ 50 years of age, 77 cognitively normal controls, 64 patients with MCI, and 154 patients diagnosed with AD underwent assessment of thyroid status using thyroid stimulating hormone (TSH), free triiodothyronine (fT3) and free thyroxine (fT4) levels as variables. Cognitive function was evaluated with the aid of comprehensive neuropsychological tests, such as the Mini-Mental State Examination (MMSE) and Memory and Executive Screening (MES). Results: Overall, 88.1 % of the subjects displayed normal thyroid function, 4.7 % were diagnosed with clinical hypothyroidism, 3.1 % with subclinical hypothyroidism, and 4.1 % with subclinical hyperthyroidism. After adjusting for covariates (age, sex, education years and body mass index), no association was evident between mild cognitive impairment or AD and thyroid dysfunction. However, lower serum TSH was correlated with risk of AD (odds ratio [OR]: 2.78, 95 % confidence interval [95% CI]: 1.11-6.99). Conclusion: Neither hypothyroidism nor subclinical hyperthyroidism was associated with AD and MCI in this population-based elderly Chinese cohort. Our findings need to be confirmed in a longitudinal study.
- Subjects
CHINA; ALZHEIMER'S disease; CHI-squared test; COGNITION disorders; STATISTICAL correlation; RESEARCH funding; STATISTICAL hypothesis testing; STATISTICS; THYROID gland; LOGISTIC regression analysis; DATA analysis; CROSS-sectional method; DATA analysis software; DESCRIPTIVE statistics; ONE-way analysis of variance
- Publication
BMC Endocrine Disorders, 2016, Vol 16, p1
- ISSN
1472-6823
- Publication type
Article
- DOI
10.1186/s12902-016-0092-z