School of Human, Health and Social Sciences, Centre for Physical activity studies, Central Queensland University, Rockhampton, Australia.
Int J Behav Nutr Phys Act. 2014 Feb 25;11(1):25. doi: 10.1186/1479-5868-11-25.
People have different preferences on how health behaviour change interventions are delivered to them; intervention implementation, retention and effectiveness may be improved if preferences can be matched.
This study aims to explore factors related to preference of face-to-face, and group-, print- or web-based physical activity intervention delivery modes among adults recruited from the general population.
A question relating to physical activity intervention preference was included in the telephone administered 2010 Queensland Social Survey. Multinomial regression models were used to explore socio-demographic (e.g., age, marital status, location), health (e.g., BMI, chronic disease status) and behavioral factors (e.g., internet use, physical activity, diet, social networking) related to intervention preferences, using 'a face-to-face intervention' as the reference category.
35.2% of those approached took part in the telephone interviews (n=1,261). Preference for a web-based intervention was positively associated with being in the 35-44 age group (compared to the 18-34 age group; RR=2.71), living in a rural area (RR=2.01), and high internet use (RR=1.03); and negatively associated with female gender (RR=0.52), obesity (RR=0.42), and higher physical activity participation (RR=0.99). Preference for a print-based intervention was positively associated with older age (RR=5.50); and negatively associated with female gender (RR=0.48) and obesity (RR=0.47). Preference for a group-based program was positively associated with living in a regional town (RR=1.48) and negatively associated with being separated (RR=0.45) and obesity (RR =0.56).
Findings from this study help to delineate what physical activity intervention delivery modes are likely to be appealing for specific target groups, especially in relation to people of different weight status, age, gender and living environment. As such, this information will be useful in the development of interventions targeted at these groups.
人们对于健康行为改变干预措施的接受方式存在不同偏好；如果能够满足这些偏好，干预措施的实施、保留和效果可能会得到改善。
本研究旨在探讨从一般人群中招募的成年人对面对面、小组、印刷或基于网络的体育活动干预方式的偏好相关因素。
在电话进行的 2010 年昆士兰社会调查中纳入了与体育活动干预偏好相关的问题。使用多项回归模型，以社会人口统计学因素（例如年龄、婚姻状况、地点）、健康因素（例如 BMI、慢性病状况）和行为因素（例如互联网使用、体育活动、饮食、社交网络）为自变量，以“面对面干预”为参照类别，探讨与干预偏好相关的因素。
在受邀参加电话访谈的人中，有 35.2%（n=1261）的人参加了访谈。与 18-34 岁年龄组相比，选择基于网络的干预方式的可能性与 35-44 岁年龄组（RR=2.71）、居住在农村地区（RR=2.01）和高互联网使用率（RR=1.03）呈正相关；与女性（RR=0.52）、肥胖（RR=0.42）和较高体育活动参与率（RR=0.99）呈负相关。选择印刷干预方式的可能性与年龄较大呈正相关（RR=5.50）；与女性（RR=0.48）和肥胖（RR=0.47）呈负相关。选择小组项目的可能性与居住在区域城镇呈正相关（RR=1.48）；与离异（RR=0.45）和肥胖（RR=0.56）呈负相关。
本研究的结果有助于描绘出哪些体育活动干预方式可能对特定目标群体具有吸引力，尤其是与不同体重状况、年龄、性别和生活环境的人群相关。因此，这些信息对于针对这些人群的干预措施的制定将非常有用。
