Mental Health Research Unit, Department of Epidemiology and Health Monitoring, Robert Koch Institute, Unit 26 Mental Health, PO Box 650261, 13302, Berlin, Germany.
Physical Health Research Unit, Department of Epidemiology and Health Monitoring, Robert Koch Institute, Berlin, Germany.
BMC Psychiatry. 2022 Jan 22;22(1):52. doi: 10.1186/s12888-022-03693-w.
Previous evidence has suggested that physically inactive individuals and extensive media users are at high risk for experiencing depressive symptoms. We examined personality traits and perceived social support as potential moderators of this association. Personality and perceived social support were included as two of the most frequently considered variables when determining predispositioning factors for media use phenomena also discussed in relation to physical activity.
We analysed cross-sectional data from 1402 adults (18-31 years old) who participated in a national health survey in Germany (KiGGS, Study on the health of children and adolescents in Germany, wave 2). The data included one-week accelerometer assessments as objective indicators of physical activity, self-reported media use, depressive symptoms, perceived social support and Big 5 personality traits. An elastic net regression model was fit with depressive symptoms as outcome. Ten-fold cross-validation was implemented.
Amongst the main effects, we found that high media use was positively correlated with depressive symptoms, whereas physical activity was not correlated. Looking at support and individual differences as moderators, revealed that PC use was more strongly correlated with depressive symptoms in cases of low levels of perceived social support. Positive associations of social media use with depressive symptoms were more pronounced, whereas negative associations of moderate to vigorous physical activity with depressive symptoms were less pronounced in extraverts than they were in introverts.
Results highlight the importance of considering individual factors for deriving more valid recommendations on protective health behaviours.
先前的证据表明,不活跃的个体和大量使用媒体的人患抑郁症状的风险较高。我们研究了人格特质和感知到的社会支持,它们是潜在的调节因素,用于调节这种关联。人格和感知到的社会支持被纳入到确定媒体使用现象的倾向性因素的最常考虑的变量中,这些因素也与身体活动有关。
我们分析了 1402 名成年人(18-31 岁)的横断面数据,这些成年人参加了德国的一项全国健康调查(KiGGS,德国儿童和青少年健康研究,第 2 波)。这些数据包括一周的加速度计评估,作为身体活动的客观指标,以及自我报告的媒体使用、抑郁症状、感知到的社会支持和大五人格特质。使用弹性网络回归模型作为因变量进行拟合。采用十折交叉验证。
在主要效应中,我们发现高媒体使用与抑郁症状呈正相关,而身体活动与抑郁症状无关。从支持和个体差异来看,我们发现感知到的社会支持水平较低时,PC 使用与抑郁症状的相关性更强。与抑郁症状呈正相关的社交媒体使用,而与抑郁症状呈负相关的中等到剧烈的身体活动,在外向者中的相关性不如在内向者中那么强。
结果强调了考虑个体因素对于得出更有效的保护健康行为建议的重要性。