Perceptions of active and inactive prototypes are associated with objective measures of physical activity in adolescents

Figures & data

Figure 1. The Prototype Willingness model

Table 1. Mean daily average MVPA, by sex (n = 126)

Sex	Sample (N = 126)	Guideline daily MVPA (min)	Mean (SD) daily MVPA* (min)	% Meeting guidelines
Male	65	60	71.43(32.2)	58.5
Female	61	60	42.67(18.1)	13.1
Total	126		57.5(29.9)	37.3

*MVPA measured objectively: raw accelerometer data processed using validated algorithm (Phillips et al., 2013).

Table 2. Median scores on reasoned action and social reaction variables, by sex (n = 126)

	Median (IQR*)			Gender comparison
Variable	Total	Male	Female	U	Z	P*
Intention	6.0(2.0)	6.0(2.0)	5.5(2.0)	1659	−1.62	.105
Attitude	5.4(1.5)	5.5(1.2)	5.2(1.5)	1895	−.43	.668
Subjective Norms	5.0(1.5)	5.0(2.0)	5.0(1.2)	1894	−.44	.662
Active/Favourable	5.2(1.1)	5.5(1.2)	5.0(0.9)	1533	−2.20	.028
Active/Similar	5.0(2.0)	5.0(2.0)	5.0(2.0)	1556	−2.14	.032
Inactive/Favourable	3.2(1.5)	3.4(1.6)	3.2(1.4)	1963	−.09	.924
Inactive/Similar	2.4(2.0)	2.0(2.0)	3.0(2.0)	1812	−.85	.393
Willingness	5.0(1.7)	5.0(1.6)	5.1(1.6)	1893	−.44	.661

*Applying a Bonferroni correction for multiple comparisons, p < 0.006 indicates statistical significance.

*Inter Quartile Range.

Table 3. Hierarchical linear regression model of physical activity in adolescents (n = 126)

Predictor Variables	B	β	t	p*
Step 1: R^2 = 0.128
Intention	4.70	.201	2.16	.032
Attitude	6.27	.184	1.91	.058
Subjective Norms	2.13	.078	.837	.404
Step 2: R^2 = 0.259; ΔR^2 = 0.131
Intention	3.06	.131	1.44	.151
Attitude	−.794	−.023	−.212	.832
Subjective Norms	2.96	.108	1.21	.228
Active/Favourable	1.23	.035	.411	.682
Active/Similar	4.81	.215	2.11	.036*
Inactive/Favourable	−5.82	−.232	−2.28	.024*
Inactive/Similar	−.249	−0.10	−.116	.908
Willingness	5.22	.193	1.87	.063

*p <.05 indicates statistical significance.

Phillips, L. R. S., Parfitt, G., & Rowlands, A. V. (2013). Calibration of the GENEA accelerometer for assessment of physical activity intensity in children. Journal of Science and Medicine in Sport, 16(2), 124–128. https://doi.org/10.1016/j.jsams.2012.05.013

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