Tomczyk Samuel, Rahn Maxi, Schmidt Silke
Department Health and Prevention, Institute of Psychology, University of Greifswald, Greifswald, Germany.
Front Psychol. 2020 Aug 11;11:1821. doi: 10.3389/fpsyg.2020.01821. eCollection 2020.
Following behavioral recommendations is key to successful containment of the COVID-19 pandemic. Therefore, it is important to identify causes and patterns of non-compliance in the population to further optimize risk and health communication. A total of 157 participants [80% female; mean age = 27.82 years ( = 11.01)] were surveyed regarding their intention to comply with behavioral recommendations issued by the German government. Latent class analysis examined patterns of compliance, and subsequent multinomial logistic regression models tested sociodemographic (age, gender, country of origin, level of education, region, and number of persons per household) and psychosocial (knowledge about preventive behaviors, risk perception, stigmatizing attitudes) predictors. Three latent classes were identified: (25%) with all recommendations; (51%), with high compliance regarding public but not personal behaviors; and (24%) with most recommendations. Compared to high compliance, low compliance was associated with male gender [relative risk ratio () = 0.08 (0.01; 0.85)], younger age [ = 0.72 (0.57; 0.93)], and lower public stigma [ = 0.21 (0.05; 0.88)]. Low compliers were also younger than public compliers [ = 0.76 (0.59; 0.98)]. With 25% of the sample reporting full compliance, and 51% differing in terms of public and personal compliance, these findings challenge the sustainability of strict regulatory measures. Moreover, young males were most likely to express low compliance, stressing the need for selective health promotion efforts. Finally, the positive association between public stigma and compliance points to potential othering effects of stigma during a pandemic, but further longitudinal research is required to examine its impact on health and social processes throughout the pandemic.
遵循行为建议是成功遏制新冠疫情的关键。因此,识别民众不遵守规定的原因和模式对于进一步优化风险和健康沟通至关重要。我们对157名参与者[80%为女性;平均年龄 = 27.82岁(标准差 = 11.01)]进行了调查,询问他们遵守德国政府发布的行为建议的意愿。潜在类别分析考察了遵守模式,随后的多项逻辑回归模型测试了社会人口学因素(年龄、性别、原籍国、教育程度、地区和每户人数)以及心理社会因素(对预防行为的了解、风险认知、污名化态度)等预测因素。确定了三个潜在类别:完全遵守所有建议的占25%;对公共行为而非个人行为高度遵守的占51%;遵守大多数建议的占24%。与高度遵守相比,低遵守与男性性别[相对风险比(RRR)= 0.08(0.01;0.85)]、较年轻的年龄[RRR = 0.72(0.57;0.93)]以及较低的公众污名感[RRR = 0.21(0.05;0.88)]相关。低遵守者也比公共行为遵守者年轻[RRR = 0.76(0.59;0.98)]。由于25%的样本报告完全遵守,51%在公共和个人遵守方面存在差异,这些发现对严格监管措施的可持续性提出了挑战。此外,年轻男性最有可能表现出低遵守,这凸显了有针对性的健康促进努力的必要性。最后,公众污名感与遵守之间的正相关表明了疫情期间污名化可能产生的其他潜在影响,但需要进一步的纵向研究来考察其在整个疫情期间对健康和社会进程的影响。