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首页> 外文期刊>Preventive Medicine: An International Journal Devoted to Practice and Theory >Investigating the environmental, behavioural, and sociodemographic determinants of attendance at a city-wide public health physical activity intervention: Longitudinal evidence over one year from 185,245 visits
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Investigating the environmental, behavioural, and sociodemographic determinants of attendance at a city-wide public health physical activity intervention: Longitudinal evidence over one year from 185,245 visits

机译:调查在城市范围的公共卫生体育活动干预中出席的环境,行为和社会渗透决定因素:纵向证据从185,245次访问中超过一年

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Understanding the determinants of attendance at public health interventions is critical for effective policy development. Most research focuses on individual-level determinants of attendance, while less is known about environmental-level determinants. Data were obtained from the Leeds Let's Get Active public health intervention in Leeds, England. Longitudinal data (April 2015-March 2016) on attendance were obtained for n = 25,745 individuals (n = 185,245 total visits) with baseline data on sociodemographic determinants and lifestyle practices obtained for n = 3621 individuals. This resulted in a total of n = 744,468 days of attendance and nonattendance. Random forests were used to explore the relative importance of the determinants on attendance, while generalised linear models were applied to examine specific associations (n = 3621). The probability that a person will attend more than once, the number of return visits, and the probability that a person will attend on a particular day were investigated. When considering if a person returned to the same leisure centre after one visit, the most influential determinant was the distance from their home. When considering number of return visits overall however, age group was the most influential. While distance to a leisure centre was less important for predicting the number of return visits, the difference between estimates for 300 m and 15,000 m was 7-10 visits per year. Finally, calendar month was the most important determinant of daily attendance. This longitudinal study highlights the importance of both individual and environmental determinants in predicting various aspects of attendance. It has implications for strategies aiming to increase attendance at public health interventions.
机译:了解参与公共卫生干预的决定因素对于有效的政策制定至关重要。大多数研究侧重于个人层面的出勤率决定因素,而对环境层面的决定因素知之甚少。数据来自英国利兹的Leeds Let's Get Active public health intervention。获得了n=25745人(n=185245人次)的就诊纵向数据(2015年4月至2016年3月),并获得了n=3621人的社会人口决定因素和生活方式的基线数据。这导致总共有n=744468天的出席和不出席。随机森林被用来探索出勤率的决定因素的相对重要性,而广义线性模型被用来检查特定的关联(n=3621)。调查了一个人参加一次以上的概率、回访次数以及一个人在特定日期参加的概率。当考虑一个人是否在一次访问后回到同一个休闲中心时,最有影响力的决定因素是离家的距离。然而,在考虑整体回访次数时,年龄组的影响最大。虽然到休闲中心的距离对预测回访次数不太重要,但300米和15000米的估计值之间的差异是每年7-10次。最后,日历月是决定每日出勤率的最重要因素。这项纵向研究强调了个人和环境因素在预测出勤率各个方面的重要性。它对旨在提高公共卫生干预参与率的战略具有影响。

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