Development and Validation Study of a Screening Questionnaire to Identify People Who Are Physically Inactive.

Public health challenges Pub Date : 2025-02-27 eCollection Date: 2025-03-01 DOI:10.1002/puh2.70037
Eero Kenttä, Harri Sievänen, Anastasiya Verho, Minna Paajanen, Timo Lukkarinen, Henri Vähä-Ypyä, Jani Raitanen, Kari Tokola, Tommi Vasankari, Jari Parkkari
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Abstract

Objective: 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.

Methods: 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.

Results: The highest correlation of the screening questionnaire with the accelerometer was 0.46 (p < 0.001) for sedentary behavior (SB) and 0.42 (p < 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.

Conclusions: 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.

不运动人群筛查问卷的编制与验证研究。
目的:身体活动不足(PA)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选工具,即赫尔辛基身体活动问卷(HPAQ),以确定人口水平上缺乏身体活动的人群,并帮助社会和卫生保健专业人员在有风险的人群中推广体育活动。方法:85名健康成人佩戴髋关节加速度计7天,之后完成多项PA问卷。其中包括一些关于PA的新问题和几个经过验证的问题。通过相关分析评估单项问题对不运动人群识别的可靠性。使用逻辑回归分析来找到最能识别不运动人群的问题组合。结果:筛选问卷与加速度计的相关性最高,为0.46 (p < 0.05)。结论:筛选PA的问卷与加速度计数据相关性较差。筛选问卷大致描述了中年参与者的PA水平,但如果需要更敏感或更具体的方法,建议采用基于设备的测量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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