Kong Xinyi, Wu Yibo, Wang Xinpei, Sun Yike, Chen Ke, Li Qiyu, Li Jie
Department of Cardiovascular Intervention, The Second Affiliated Hospital of Nanchang University, Nanchang, 330006, China.
School of Public Health, Peking University, Beijing, 100191, China.
Heliyon. 2023 Apr 28;9(5):e15889. doi: 10.1016/j.heliyon.2023.e15889. eCollection 2023 May.
To explore the prevalence and influencing factors of anxiety and depression symptoms among Chinese people in 2021. Investigation teams were recruited in 120 cities across the country. Based on the data from "the Seventh National Population Census in 2021″, quota sampling was conducted on the residents of these cities to obtain samples that conformed to population characteristics. Next, baseline information on research objects was collected, and the questionnaire survey was conducted through the online questionnaire Wenjuanxing platform. The Patient Health Questionnaire-9 (PHQ-9) rating scale was used to evaluate the mental state of the subjects. The correlation between baseline information and different PHQ-9 risk intervals was analyzed using the Chi-square test and Logit model. The impact of relevant risk factors on PHQ-9 scores was analyzed using the decision tree. The Chi-square test results revealed that place of residence ( = 0.438) and obesity ( = 0.443) was not significantly correlated with PHQ-9 risk intervals. According to Logit model analysis, age ( = 0.001, 95%CI 0.84-0.96), marital status ( < 0.001, 95%CI 0.71-0.89), drinking ( < 0.001, 95%CI 1.07-1.18), diabetes or hypertension ( = 0.001, 95%CI 1.11-1.47), health care ( < 0.001, 95%CI 0.53-0.66), economic welfare ( = 0.022, 95%CI 0.85-0.99), COVID-19 vaccine ( < 0.001, 95%CI 1.28-1.72), and HPV vaccine ( < 0.001, 95%CI 0.46-0.57) were potential influencing factors of PHQ-9 risk intervals. Decision tree analysis results showed that the grouping strategy in the PHQ-9 two-side groups had a better classification effect on the questionnaire population according to the PHQ-9 score characteristics. The prevalence rate of moderate to severe depression among Chinese people was about 8.29%. Age, marital status, drinking, diabetes or hypertension, health care, economic well, COVID-19 vaccine, and HPV vaccine were potential influencing factors of anxiety and depression symptoms in Chinese people.
为探究2021年中国人群焦虑和抑郁症状的患病率及其影响因素。在全国120个城市招募了调查团队。基于“2021年第七次全国人口普查”数据，对这些城市的居民进行配额抽样，以获得符合人口特征的样本。接下来，收集研究对象的基线信息，并通过在线问卷平台问卷星进行问卷调查。采用患者健康问卷-9（PHQ-9）评定量表评估受试者的心理状态。使用卡方检验和Logit模型分析基线信息与不同PHQ-9风险区间之间的相关性。使用决策树分析相关风险因素对PHQ-9得分的影响。卡方检验结果显示，居住地（=0.438）和肥胖（=0.443）与PHQ-9风险区间无显著相关性。根据Logit模型分析，年龄（=0.001，95%CI 0.84 - 0.96）、婚姻状况（<0.001，95%CI 0.71 - 0.89）、饮酒（<0.001，95%CI 1.07 - 1.18）、糖尿病或高血压（=0.001，95%CI 1.11 - 1.47）、医疗保健（<0.001，95%CI 0.53 - 0.66）、经济福利（=0.022，95%CI 0.85 - 0.99）、新冠疫苗（<0.001，95%CI 1.28 - 1.72）和HPV疫苗（<0.001，95%CI 0.46 - 0.57）是PHQ-9风险区间的潜在影响因素。决策树分析结果表明，根据PHQ-9得分特征，PHQ-9双侧组中的分组策略对问卷人群具有更好的分类效果。中国人中重度抑郁症的患病率约为8.2%。年龄、婚姻状况、饮酒、糖尿病或高血压、医疗保健、经济状况、新冠疫苗和HPV疫苗是中国人焦虑和抑郁症状的潜在影响因素。
