There is evidence that regular physical activity (PA) is associated with lower risk of non-communicable diseases, increased health status and the overall quality of life. Therefore, it is important to understand key factors that can influence PA levels and behaviours. There are several studies that investigated the determinants of PA in adults, however, they did not include environmental, behavioural, and sociodemographic factors to determine objectively measured PA behaviour. The aim of this study was to assess the association between objectively measured PA intensity of walking and sociodemographic, environmental and behavioural factors and investigate the most significant factors associated with the intensity of walking. The study included 125 randomly selected participants in Kaunas, Lithuania. Participants filled out a formalized questionnaire about sociodemographic, health-related, behavioural, and environmental factors. The intensity of PA of walking was measured using accelerometer and GPS (Global Positioning System) sensors. The results showed that the highest intensity of PA was found among the youngest age group, women, adults with normal weight and those with the lowest prevalence of chronic diseases including hypertension. In the multivariate regression models, age, noise level, and walking time remained significant covariates of the intensity of PA. Our study adds evidence on the separate and combined effects of sociodemographic, environmental, and behavioural factors on the intensity of PA during walking among adults in an urban environment using GPS and accelerometer sensors. Future studies should focus on additional factors influencing PA intensity that were not investigated in this study and explore other PAs.

有证据表明，规律的身体活动 (PA) 与降低非传染性疾病风险、提高健康状况和整体生活质量有关。因此，了解影响 PA 水平和行为的关键因素非常重要。有几项研究调查了成人 PA 的决定因素，但是，它们没有包括环境、行为和社会人口学因素来确定客观测量的 PA 行为。本研究的目的是评估客观测量的步行 PA 强度与社会人口、环境和行为因素之间的关联，并调查与步行强度相关的最重要因素。该研究包括在立陶宛考纳斯随机选择的 125 名参与者。参与者填写了一份关于社会人口、健康相关、行为和环境因素的正式问卷。使用加速度计和 GPS（全球定位系统）传感器测量步行的 PA 强度。结果表明，在最年轻的年龄组、女性、体重正常的成年人和包括高血压在内的慢性病患病率最低的人群中发现 PA 强度最高。在多元回归模型中，年龄、噪音水平和步行时间仍然是 PA 强度的重要协变量。我们的研究增加了关于社会人口、环境和行为因素对成人在城市环境中使用 GPS 和加速度计传感器步行时 PA 强度的单独和综合影响的证据。