Kenttä Eero, Sievänen Harri, Verho Anastasiya, Paajanen Minna, Lukkarinen Timo, Vähä-Ypyä Henri, Raitanen Jani, Tokola Kari, Vasankari Tommi, Parkkari Jari
Social Services Health Care and Rescue Services Division City of Helsinki Helsinki Finland.
Faculty of Sport and Health Sciences University of Jyväskylä Jyväskylä Finland.
Public Health Chall. 2025 Feb 27;4(1):e70037. doi: 10.1002/puh2.70037. eCollection 2025 Mar.
Insufficient physical activity (PA) is a well-known risk factor for many non-communicable diseases. This study aimed to develop a screening tool, the Helsinki Physical Activity Questionnaire (HPAQ), to identify physically inactive people at the population level and to help social and health care professionals promote PA among people at risk.
Eighty-five healthy adults wore a hip-worn accelerometer for 7 days, after which they completed several PA questionnaires. These included some novel and several validated questions on PA. The reliability of individual questions to identify physically inactive people was assessed by correlation analysis. Logistic regression analysis was used to find the combination of questions that best identified physically inactive people.
The highest correlation of the screening questionnaire with the accelerometer was 0.46 ( < 0.001) for sedentary behavior (SB) and 0.42 ( < 0.001) for the total amount of moderate-to-vigorous physical activity (MVPA), respectively. The best pair of questions on total PA identified 64% of all inactive subjects (MVPA < 150 min/week) based on accelerometer data.
The questionnaires developed for screening PA have a poor correlation with the accelerometer data. The screening questionnaires roughly describe PA level among middle-aged participants, but if a more sensitive or specific method is needed, device-based measurements are recommended.
身体活动不足是许多非传染性疾病的一个众所周知的危险因素。本研究旨在开发一种筛查工具——赫尔辛基身体活动问卷（HPAQ），以在人群层面识别身体活动不足的人，并帮助社会和医疗保健专业人员在有风险的人群中促进身体活动。
85名健康成年人佩戴髋部加速度计7天，之后他们完成了几份身体活动问卷。这些问卷包括一些关于身体活动的新颖问题和几个经过验证的问题。通过相关性分析评估各个问题识别身体活动不足人群的可靠性。使用逻辑回归分析来找出最能识别身体活动不足人群的问题组合。
筛查问卷与加速度计的最高相关性分别为：久坐行为（SB）为0.46（<0.001），中度至剧烈身体活动（MVPA）总量为0.42（<0.001）。基于加速度计数据，关于总身体活动的最佳问题组合识别出了所有不活跃受试者（MVPA<150分钟/周）中的64%。
为筛查身体活动而开发的问卷与加速度计数据的相关性较差。筛查问卷大致描述了中年参与者的身体活动水平，但如果需要更敏感或特异的方法，建议采用基于设备的测量方法。
