2018 BMJ, Beijing, Ding, The association between macronutrient intake and cognition in individuals aged under 65 in China: a cross-sectional study.
<p>August 26, 2019, 7:04 PM</p>
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<p>OBJECTIVE:
The aim of this retrospective study was to explore the correlation between daily energy intake from <strong>macronutrients and cognitive functions in a Chinese population aged less than 65 years.</strong></p>
<p>DESIGN:
This is a cross-sectional study to explore the relationships between macronutrients' intake and cognitive function. The analysis of variance (ANOVA) and χ2 test were used to compare the demographic and physical characteristics, lifestyle and laboratory parameters with the intake of macronutrients among different quartiles of % fat/energy. Multivariate logistic regression analysis was applied to identify the potential risk factors of mild cognitive impairment (MCI).</p>
<p>PARTICIPANTS:
<strong>Young and middle-aged participants (age <65 years) were recruited from Beijing</strong>, China. The Montreal cognitive assessment (MoCA) and mini-mental state examination (MMSE) were used to evaluate the cognitive functions, and the dietary intake of the participants was estimated with a semi-quantitative food frequency questionnaire (FFQ).</p>
<p>RESULTS:
Among the 661 participants, 80 (12.1%) had MCI, while 581 (87.9%) had normal cognitive functions. On evaluating the data based on the age group, educational background, and conditions of hyperlipidaemia and total energy intake, the results revealed that high % fat (upper quartile: adjusted OR (aOR) 3.90, 95% CI1.53 to 9.89, P=0.004), and high % protein intake (upper quartile: aOR 2.77, 95% CI 1.24 to 6.15) were greatly associated with increased frequency of MCI, while high % carbohydrate intake (upper quartile: aOR0.30, 95% CI 0.12 to 0.72) was correlated with decreased prevalence of MCI.</p>
<p>CONCLUSION:
<strong>The dietary pattern with high percentage of energy intake from fat and protein, and low-energy intake from carbohydrate might have been associated with cognitive decline in a Chinese population under 65 years of age.</strong></p>
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<p>(note; RESULTS in abstract above is prob. mis-worded.</p>