Lardier David T, Zuhl Micah N, Holladay Kelley R, Amorim Fabiano T, Heggenberger Raina, Coakley Kathryn E
Department of Psychiatry and Behavioral Sciences, University of New Mexico School of Medicine, Albuquerque, NM USA.
School of Health Sciences, Central Michigan University, Mt. Pleasant, MI 48859 USA.
Int J Ment Health Addict. 2022 Jan 13:1-24. doi: 10.1007/s11469-021-00722-9.
The present study examined latent class cluster group patterns based on measures of depression and anxiety symptom severity and alcohol consumption during the COVID-19 pandemic. Hypothesized correlates with latent class cluster groups including quarantining, self-isolation, suicidal ideations, sitting hours per day, and physical activity (vigorous intensity exercise in minutes per week) were examined. The delimited participant sample consisted of 606 university young adults 18 to 25 years of age ( = 21.24 ± 1.62). Latent cluster analysis (LCA) modeled patterns of depression and anxiety symptom severity and alcohol consumption during the COVID-19 pandemic. Between group analysis and multinomial logistic regression analysis were used to examine relationships between latent class clusters and correlates including quarantining, self-isolation, suicidal ideations, sitting hours per day, and physical activity (vigorous intensity exercise in minutes per week). LCA results showed that six latent cluster groups provided optimal model-to-date fit based on mental health symptom severity and alcohol consumption ( = 56.31, = 5012.79, = 4849.74, and the bootstrap -value = .88; Entropy = .89). Identified latent class clusters were as follows: cluster one = moderate anxiety and depression severity and moderate alcohol consumption ( = 156; 25.7%); cluster two = high mental health severity and alcohol consumption ( = 133; 21.9%); cluster three = low mental health symptoms and moderate alcohol consumption ( = 105; 17.3%); cluster four = lowest mental health severity and alcohol consumption ( = 95; 15.7%); cluster five = moderate depression severity, low anxiety severity, and low alcohol consumptions ( = 74; 12.2%); and cluster six = moderate anxiety severity, low depression severity, and low alcohol consumption ( = 43; 7.1%). Multinomial logistic regression analysis results found that quarantining, self-isolation, suicidal ideations, sedentary behavior, and physical activity were differentially associated with cluster group membership. Findings from this study demonstrate associations between COVID-19 public health restrictions, suicidal ideations, and declines in mental health and increases in alcohol consumption among young adult university students.
本研究基于新冠疫情期间抑郁和焦虑症状严重程度以及酒精消费的测量数据,对潜在类别聚类组模式进行了研究。对与潜在类别聚类组的假设相关性进行了检验,这些相关性包括隔离、自我隔离、自杀意念、每日久坐时长以及身体活动(每周剧烈强度运动的分钟数)。划定的参与者样本包括606名18至25岁的大学青年(平均年龄=21.24±1.62岁)。潜在聚类分析(LCA)对新冠疫情期间抑郁和焦虑症状严重程度以及酒精消费的模式进行了建模。采用组间分析和多项逻辑回归分析来检验潜在类别聚类与包括隔离、自我隔离、自杀意念、每日久坐时长以及身体活动(每周剧烈强度运动的分钟数)等相关性之间的关系。LCA结果显示,基于心理健康症状严重程度和酒精消费,六个潜在聚类组提供了迄今为止的最佳模型拟合(卡方值=56.31,自由度=5012.79,校正后卡方值=4849.74,自抽样p值=0.88;熵值=0.89)。确定的潜在类别聚类如下:聚类一=中度焦虑和抑郁严重程度以及中度酒精消费(n=156;25.7%);聚类二=高心理健康严重程度和酒精消费(n=133;21.9%);聚类三=低心理健康症状和中度酒精消费(n=105;17.3%);聚类四=最低心理健康严重程度和酒精消费(n=95;15.7%);聚类五=中度抑郁严重程度、低焦虑严重程度和低酒精消费(n=74;12.2%);聚类六=中度焦虑严重程度、低抑郁严重程度和低酒精消费(n=43;7.1%)。多项逻辑回归分析结果发现,隔离、自我隔离、自杀意念、久坐行为和身体活动与聚类组成员身份存在差异关联。本研究结果表明,新冠疫情公共卫生限制、自杀意念以及青年大学生心理健康下降和酒精消费增加之间存在关联。