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How are habits formed: Modelling habit formation in the real world

机译:习惯是如何形成的:模拟现实世界中的习惯形成

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摘要

To investigate the process of habit formation in everyday life, 96 volunteers chose an eating, drinking or activity behaviour to carry out daily in the same context (for example 'after breakfast') for 12 weeks. They completed the self-report habit index (SRHI) each day and recorded whether they carried out the behaviour. The majority (82) of participants provided sufficient data for analysis, and increases in automaticity (calculated with a sub-set of SRHI items) were examined over the study period. Nonlinear regressions fitted an asymptotic curve to each individual's automaticity scores over the 84 days. The model fitted for 62 individuals, of whom 39 showed a good fit. Performing the behaviour more consistently was associated with better model fit. The time it took participants to reach 95% of their asymptote of automaticity ranged from 18 to 254 days; indicating considerable variation in how long it takes people to reach their limit of automaticity and highlighting that it can take a very long time. Missing one opportunity to perform the behaviour did not materially affect the habit formation process. With repetition of a behaviour in a consistent context, automaticity increases following an asymptotic curve which can be modelled at the individual level.
机译:为了调查日常生活中习惯养成的过程,有96名志愿者选择了饮食,饮水或运动行为,在相同的背景下(例如“早餐后”)每天进行12周。他们每天完成自我报告的习惯指数(SRHI),并记录他们是否进行了该行为。大部分(82)的参与者提供了足够的数据进行分析,并且在研究期内检查了自动化程度的提高(以SRHI项目的子集计算)。非线性回归将渐近曲线拟合为84天中每个人的自动评分。该模型适合62位个体,其中39位非常合适。更一致地执行行为与更好的模型拟合相关。参与者达到其自动渐近线的95%所需的时间为18到254天;表明人们达到自动化极限所需的时间有很大的不同,并强调这可能需要很长时间。缺少执行行为的机会并没有实质性地影响习惯形成过程。通过在一致的上下文中重复行为,自动性会随着可在各个级别上建模的渐近曲线而增加。

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