Association of physical activity with cognition and mental health in health check-up population
10.3760/cma.j.cn115624-20241126-00955
- VernacularTitle:体检人群身体活动水平与认知功能和精神心理相关性
- Author:
Jiwei JIANG
1
;
Jie LIU
;
Yang LIU
;
Ying ZHANG
;
Xiaojuan LIU
;
Huaguang ZHENG
Author Information
1. 首都医科大学附属北京天坛医院健康管理中心/脑健康中心，北京 100070
- Publication Type:Journal Article
- Keywords:
Motor activity;
Sedentary;
Cognition;
Cognition disorders;
Depression;
Anxiety;
Lipid metabolism
- From:
Chinese Journal of Health Management
2025;19(4):292-299
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To analyze the association of physical activity (PA) levels with the cognitive function and mental health among health check-up population.Methods:It is a cross-sectional study. The data from 869 health check-up population were consecutively collected from Beijing Tiantan Hospital, Capital Medical University between January 1, 2023 and December 31, 2023, including sex, age, body mass index (BMI), waist to hip ratio (WHR), educational years, medical history and personal history. The Global Physical Activity Questionnaire (GPAQ) was used to evaluate the PA levels, the Montreal Cognitive Assessment (MoCA) was performed to assess the global cognitive function, and the Patient Health Questionnaire 9 (PHQ-9) and the 7-item Generalized Anxiety Disorder (GAD-7) was used to screen for depression and generalized anxiety, respectively. Laboratory examination of lipid metabolism-related biomarkers included total cholesterol (TC), triglyceride (TG), low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), lipoprotein(a) [Lp(a)], apolipoprotein A-1 (ApoA1), apolipoprotein B (ApoB), small dense low-density lipoprotein (sdLDL) and remnant cholesterol (RC). The differences in general data, scale evaluation, and lipid metabolism-related biomarkers were compared among three groups [sufficiently active group:≥600 (metabolic equivalent,MET)-min/week, insufficiently active group: 1-599 MET-min/week, and inactive group: 0 MET-min/week]. The multiple linear regression was used to analyze the correlation between the PA or sitting time and MoCA, PHQ-9 or GAD-7 scores, respectively.Results:A total of 869 health check-up population was finally included, with the age of (51.22±10.09) years old; among these, 545 patients were men (62.72%), 324 cases were women (37.28%), 153 cases with cognitive impairment (17.61%). Participants in sufficiently active group had lower WHR [(0.88±0.07) vs (0.89±0.07)], sitting time [7.00 (4.00, 10.00) vs 10.00 (6.00, 12.00) h], PHQ-9 [2.00 (0, 5.00) vs 3.00 (0, 7.00) scores], GAD-7 [2.00 (0, 4.00) vs 3.00 (0, 6.00) scores], and sdLDL levels [0.93 (0.60, 1.32) vs 1.09 (0.70, 1.45) mmol/L] than those in inactive group (all corrected P<0.05). Population in sufficiently active group was older than those in insufficiently active group[(52.10±9.90) vs (49.88±9.88) years], and had lower BMI [(25.73±3.82) vs (26.13±3.54) kg/m 2], WHR [(0.88±0.07) vs (0.90±0.07)], proportion in medical history of alcohol consumption (14.46% vs 23.61%), sitting time [7.00 (4.00, 10.00) vs 9.15 (6.00, 12.00) h], PHQ-9 [2.00 (0, 5.00) vs 3.00 (0, 5.00) scores], and GAD-7 [2.00 (0, 4.00) vs 2.00 (0, 5.00) scores] than those in insufficiently active group (all corrected P<0.05). The sitting time ( β=-0.081, 95% CI:-0.134, -0.028), age ( β=-0.089, 95% CI:-0.111, -0.067), and WHR ( β=-7.069, 95% CI:-11.667, -2.472) were negatively correlated with the MoCA scores; the PA levels ( β=-1.06×10 -4, 95% CI:-1.06×10 -4, -3.05×10 -5), age ( β=-0.077, 95% CI:-0.106, -0.049), BMI ( β=-0.098,95% CI:-0.192, -0.005), educational years ( β=-0.090, 95% CI:-0.151, -0.029), and HDL-C levels ( β=-4.236, 95% CI:-6.171, -2.301) were negatively correlated with the elevation of PHQ-9 scores, while the PA ( β=-9.14×10 -6, 95% CI:-6.76×10 -6, 8.58×10 -5), age ( β=-0.089, 95% CI:-0.118, -0.060), and HDL-C levels ( β=-3.442, 95% CI:-5.403, -1.480) were negatively correlated with the of GAD-7 scores (all P<0.05). Conclusion:Decreased physical activity level significantly increases the risk of depression, anxiety, and cognitive impairment among health check-up population, suggesting that early screen for physical activity and active intervention for exercise and sedentary behavior are of great significance for preventing cognitive decline, anxiety and depression.
