Planning to be routine: habit as a mediator of the planning-behaviour relationship in healthcare professionals

Table 2 Bootstrap analysis of the magnitude and statistical significance of the direct and indirect effects

Independent variable	Mediator variable	Dependent variable	B unstandardised a-path	B unstandardised b-path	B standardised indirect effect	SE	95% CI (lower, upper)
AP	Habit	Weight management advice	0.37***	0.62***	.23	0.05	0.15, 0.34
CP	Habit	Weight management advice	0.49***	0.57***	.28	0.05	0.20, 0.38
AP	Habit	Prescribing additional antihypertensive drug	0.43***	0.47***	.21	0.06	0.10, 0.34
CP	Habit	Prescribing additional antihypertensive drug	0.54***	0.51***	.28	0.07	0.14, 0.43
AP	Habit	Examining feet	0.84***	1.04***	.88	0.15	0.61, 1.22
CP	Habit	Examining feet	0.68***	0.93***	.63	0.09	0.47, 0.83
AP	Habit	Advise about self-management	0.65***	0.45***	.29	0.07	0.16, 0.45
CP	Habit	Advise about self-management	0.62***	0.36***	0.23	0.06	0.11, 0.36
AP	Habit	Prescribe HbA1c	0.58***	0.34***	.20	0.06	0.09, 0.34
CP	Habit	Prescribe HbA1c	0.58***	0.33***	.19	0.06	0.14, 0.45
AP	Habit	Provide general education	0.67***	0.23**	.15	0.06	0.05, 0.27
CP	Habit	Provide general education	0.64***	0.32***	0.20	0.06	0.09, 0.32

As none of the 95% confidence intervals for the estimate of indirect effects included zero, there is a statistically significant indirect effect of action planning and coping planning on all six clinical behaviours through habit
AP action planning, CP coping planning
**p < 0.01; ***p < 0.001
SE = standard error

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