Södergren Marita, Sundquist Jan, Johansson Sven-Erik, Sundquist Kristina
Center for Family and Community Medicine, Karolinska Institute, Stockholm, Sweden.
BMC Public Health. 2008 Oct 7;8:352. doi: 10.1186/1471-2458-8-352.
In order to screen for the most inactive individuals in the population and target health-related interventions where they are most needed it is important to assess different forms of physical activity in population-based studies. The aims were (1) to identify the most inactive individuals in the population by assessing two dimensions of physical activity, (2) to investigate the correlation between exercise and total physical activity and (3) to investigate the association between exercise, total physical activity and good self-rated health.
A simple random sample of the Swedish population aged 25-64 years were interviewed about their living conditions, health and lifestyle in a survey performed by Statitics Sweden. In total 1876 women and 1880 men completed the survey during 1999 (response rate 76.6%) when two different questions about physical activity assessed exercise and total physical activity in all domains (e.g. transportation, exercise, and at work). Logistic regression models were used to estimate odds ratios.
The most inactive individuals (no exercise and total physical activity </= 2 hours per week) constituted 4.3% of the sample. The correlation between exercise and total physical activity was low (gamma = 0.4, p = 0.02). There were significant associations between higher levels of exercise, total physical activity and good self-rated health after adjustment for age, gender, country of birth, education, employment, marital status, housing tenure, smoking and BMI.
Both exercise and total physical activity were independently associated with good self-rated health. It seems to be advantageous to use more than one question in population based surveys in order to evaluate several dimensions of physical activity and identify the most inactive individuals.
为了在人群中筛选出最缺乏运动的个体，并在最需要的地方开展与健康相关的干预措施，在基于人群的研究中评估不同形式的身体活动非常重要。本研究的目的是：（1）通过评估身体活动的两个维度来识别群体中最缺乏运动的个体；（2）研究锻炼与总体身体活动之间的相关性；（3）研究锻炼、总体身体活动与良好的自我健康评价之间的关联。
瑞典统计局进行了一项调查，对年龄在25 - 64岁的瑞典人群进行简单随机抽样，询问他们的生活条件、健康状况和生活方式。1999年，共有1876名女性和1880名男性完成了调查（应答率76.6%），当时关于身体活动的两个不同问题评估了所有领域（如交通、锻炼和工作）的锻炼情况和总体身体活动情况。使用逻辑回归模型来估计比值比。
最缺乏运动的个体（不锻炼且每周总体身体活动≤2小时）占样本的4.3%。锻炼与总体身体活动之间的相关性较低（γ = 0.4，p = 0.02）。在对年龄、性别、出生国家、教育程度、就业状况、婚姻状况、住房 tenure、吸烟和BMI进行调整后，较高水平的锻炼、总体身体活动与良好的自我健康评价之间存在显著关联。
锻炼和总体身体活动均与良好的自我健康评价独立相关。在基于人群的调查中使用多个问题来评估身体活动的多个维度并识别最缺乏运动的个体似乎是有益的。
