Centre for Outcome Research and Effectiveness, University College London, UK.
Br J Health Psychol. 2010 Nov;15(Pt 4):797-824. doi: 10.1348/135910710X485826. Epub 2010 Jan 28.
A new strain of H1N1 influenza, also known as swine flu was confirmed in the UK in May 2009 and has spread to over 100 countries around the world causing the World Health Organization to declare a global flu pandemic. The primary objectives of this review are to identify the key demographic and attitudinal determinants of three types of protective behaviour during a pandemic: preventive, avoidant, and management of illness behaviours, in order to describe conceptual frameworks in which to better understand these behaviours and to inform future communications and interventions in the current outbreak of swine flu and subsequent influenza pandemics.
Web of Science and PubMed databases were searched for references to papers on severe acute respiratory syndrome, avian influenza/flu, H5N1, swine influenza/flu, H1N1, and pandemics. Forward searching of the identified references was also carried out. In addition, references were gleaned from an expert panel of the Behaviour and Communications sub-group of the UK Scientific Pandemic Influenza Advisory Group. Papers were included if they reported associations between demographic factors, attitudes, and a behavioural measure (reported, intended, or actual behaviour).
Twenty-six papers were identified that met the study inclusion criteria. The studies were of variable quality and most lacked an explicit theoretical framework. Most were cross-sectional in design and therefore not predictive over time. The research shows that there are demographic differences in behaviour: being older, female and more educated, or non-White, is associated with a higher chance of adopting the behaviours. There is evidence that greater levels of perceived susceptibility to and perceived severity of the diseases and greater belief in the effectiveness of recommended behaviours to protect against the disease are important predictors of behaviour. There is also evidence that greater levels of state anxiety and greater trust in authorities are associated with behaviour.
The findings from this review can be broadly explained by theories of health behaviour. However, theoretically driven prospective studies are required to further clarify the relationship between demographic factors, attitudes, and behaviour. The findings suggest that intervention studies and communication strategies should focus on particular demographic groups and on raising levels of perceived threat of the pandemic disease and belief in the effectiveness of measures designed to protect against it.
一种新的 H1N1 流感,也被称为猪流感,于 2009 年 5 月在英国得到确认,并已传播到全球 100 多个国家,导致世界卫生组织宣布全球流感大流行。本综述的主要目的是确定在大流行期间三种保护行为(预防、避免和疾病管理行为)的关键人口统计学和态度决定因素,以便描述更好地理解这些行为的概念框架,并为当前猪流感爆发和随后的流感大流行提供未来的沟通和干预信息。
在 Web of Science 和 PubMed 数据库中搜索有关严重急性呼吸系统综合征、禽流感/流感、H5N1、猪流感/流感、H1N1 和大流行的论文参考文献。还对已确定的参考文献进行了前向搜索。此外,还从英国科学大流行性流感咨询小组行为和沟通小组的专家小组中获取了参考文献。如果论文报告了人口统计学因素、态度和行为措施(报告、意图或实际行为)之间的关联,则将其纳入研究范围。
确定了符合研究纳入标准的 26 篇论文。这些研究的质量参差不齐,大多数都没有明确的理论框架。大多数研究都是横断面设计,因此无法随着时间的推移进行预测。研究表明,行为存在人口统计学差异:年龄较大、女性和受教育程度较高,或非白人,更有可能采取这些行为。有证据表明,对疾病的感知易感性和严重程度以及对推荐行为预防疾病的有效性的更大信念是行为的重要预测因素。还有证据表明,更高的状态焦虑水平和对当局的更大信任与行为有关。
本综述的研究结果可以用健康行为理论来广泛解释。然而,需要进行理论驱动的前瞻性研究,以进一步阐明人口统计学因素、态度和行为之间的关系。研究结果表明,干预研究和沟通策略应侧重于特定的人口统计学群体,并提高对大流行疾病威胁的感知水平和对旨在保护自己免受疾病侵害的措施的有效性的信念。