TY - JOUR
T1 - 生活方式与大学生抑郁症状的关联
AU - Yuan, Xiao Xiao
AU - Zhang, Lei
AU - Wu, Ming Yang
AU - Wang, Wen Hua
AU - Ma, Le
AU - Wang, Xue
AU - Luo, Yi
N1 - Publisher Copyright:
© 2024 Editorial Office of Modern Preventive Medicine. All rights reserved.
PY - 2024/6/30
Y1 - 2024/6/30
N2 - Objective To explore the relationship between lifestyle and depression symptoms among college students. Methods A total of 21143 college students from a private university in Shaanxi province were selected to conduct an online questionnaire survey, including social demographic characteristics, lifestyle and depression symptoms. GAMMA regression and Logistic regression models were used to analyze the association between five lifestyle and unhealthy lifestyle scores and depression symptoms in college students. Results The depression symptom score of college students was 29(22,36), and the prevalence of depression symptoms was 15.57%. The prevalence of smoking, drinking, unhealthy diet, lack of physical activity, low body weight or obesity were 17.98%, 24.24%, 83.45%, 80.11% and 46.63%, respectively. The five unhealthy lifestyles were significantly correlated with depression symptoms of college students (all P < 0.05) . Regression analysis showed that, compared with the unhealthy lifestyle scores of 0-1, the score of depression symptoms increased in the group with 3, 4 and 5 score of unhealthy lifestyle, with β (95 % CI) values of 0.57(0.23-0.92), 1.91 (1.48-2.34) and 2.47 (1.79-3.15), respectively. Compared with the unhealthy lifestyle scores of 0-1, the risk of depression symptoms was increased in unhealthy lifestyle scores of 2, 3, 4 and 5, and the odds ratio value (95% CI) were 1.19(1.02-1 . 40), 1.41 (1 . 21-1 . 65), 1 . 86 (1 . 56-2 . 21) and 2.18(1.71-2 . 78), respectively. Conclusion Unhealthy lifestyle is related to the increased risk of depression symptoms in college students. The more types of unhealthy lifestyle, the higher the score of depression symptoms and the higher the risk of depression symptoms.
AB - Objective To explore the relationship between lifestyle and depression symptoms among college students. Methods A total of 21143 college students from a private university in Shaanxi province were selected to conduct an online questionnaire survey, including social demographic characteristics, lifestyle and depression symptoms. GAMMA regression and Logistic regression models were used to analyze the association between five lifestyle and unhealthy lifestyle scores and depression symptoms in college students. Results The depression symptom score of college students was 29(22,36), and the prevalence of depression symptoms was 15.57%. The prevalence of smoking, drinking, unhealthy diet, lack of physical activity, low body weight or obesity were 17.98%, 24.24%, 83.45%, 80.11% and 46.63%, respectively. The five unhealthy lifestyles were significantly correlated with depression symptoms of college students (all P < 0.05) . Regression analysis showed that, compared with the unhealthy lifestyle scores of 0-1, the score of depression symptoms increased in the group with 3, 4 and 5 score of unhealthy lifestyle, with β (95 % CI) values of 0.57(0.23-0.92), 1.91 (1.48-2.34) and 2.47 (1.79-3.15), respectively. Compared with the unhealthy lifestyle scores of 0-1, the risk of depression symptoms was increased in unhealthy lifestyle scores of 2, 3, 4 and 5, and the odds ratio value (95% CI) were 1.19(1.02-1 . 40), 1.41 (1 . 21-1 . 65), 1 . 86 (1 . 56-2 . 21) and 2.18(1.71-2 . 78), respectively. Conclusion Unhealthy lifestyle is related to the increased risk of depression symptoms in college students. The more types of unhealthy lifestyle, the higher the score of depression symptoms and the higher the risk of depression symptoms.
KW - College Students
KW - Depression symptom
KW - Lifestyle
UR - https://www.scopus.com/pages/publications/85207792389
U2 - 10.20043/j.cnki.MPM.202403291
DO - 10.20043/j.cnki.MPM.202403291
M3 - 文章
AN - SCOPUS:85207792389
SN - 1003-8507
VL - 51
SP - 2221-2227 and 2247
JO - Modern Preventive Medicine
JF - Modern Preventive Medicine
IS - 12
ER -