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Adults’ Preferences for Intrinsically versus Extrinsically Framed Health Messages Tailored According to Stages of Change: Effects on the Intention to Engage in Physical Activity Cover

Adults’ Preferences for Intrinsically versus Extrinsically Framed Health Messages Tailored According to Stages of Change: Effects on the Intention to Engage in Physical Activity

Open Access
|Sep 2021

Figures & Tables

Table 1

Difference Between Participants of Varied Goal Orientations on Message Selection.

MessageFit % (#)Did Not Fit % (#)Difference in ProportionChi-squared (df)p-value
DET_IM67.36% (64)32.63% (31)0.345.69 (1)p = .017
DET_EX55.56% (25)44.44% (20)0.114.96 (1)p = .026
DEC_IM68.89% (62)31.11% (28)0.387.10 (1)p = .008
DEC_EX57.89% (24)42.10% (33)0.169.24 (1)p = .002
IMP_IM70.00% (56)30.00% (24)0.407.09 (1)p = .008
IMP_EX70.83% (17)29.17% (7)0.419.90 (1)p = .002
MAIN_IM71.62% (53)28.37% (21)0.438.16 (1)p = .004
MAIN_EX48.21% (27)51.79% (29)0.041.58 (1)p = .209

[i] Note: Difference in proportion was calculated by subtracting column 3 from column 2.

Table 2

Predicting likelihood of Completing Task Considering Message SoC and Participants Fit with Message SoC.

ModelOrderMessage SoCSoC Fitx2R2PAC
058.9
170.82***; 0.41
[0.33–0.50]
97.88***(1).2369.1
264.88***; 0.42
[0.34–0.52]
0.64; 1.07
[0.90–1.28]
98.52***(2).2369.1
365.84***; 0.41
[0.33–0.51]
0.56; 1.07
[0.90–1.28]
1.81; 1.16
[0.93–1.45]
100.34***(3).2468.2

[i] Note: Columns two through four represent the independent variables entered and are explained as follows: Order refers to the order in which each participant was presented with the message; Message SoC reflects the SoC the message was tailored to; SoC fit depicts participants fit with the corresponding message. Within each Independent variable column, the Ward test statistic was presented first, followed by the Odds Ratio score, with the confidence interval in []. R2 represents the explained variation in the likelihood participants choose to do the activity based on the independent variables included in the model using Nagelkerke R2. PAC represents the percentage accuracy in classification which denotes the percentage of participants that could be correctly classified (choosing to do the activity or not) based on the independent variables included in the model. Significance was illustrated as follows: *p < .01, **p < .05, ***p < .001.

Table 3

Predicting likelihood of Completing Task Considering Message Frame and Participants Goal Orientation.

ModelOrderFrameIntrinsicExtrinsicX2 (DF)R2PAC
058.9
170.81***; 0.41
[0.33–0.50]
97.88***(1).2369.1
268.81***; 0.41
[0.37–0.52]
1.31; 1.26
[0.96–1.88]
99.19***(2).2369.1
371.16***; 0.40
[0.32–0.49]
1.10; 1.26
[0.82–1.93]
4.86**; 1.33
[1.03–1.72]
0.43; 0.93
[0.76–1.15]
104.71***(6).2569.1

[i] Note: Columns two through five represent the independent variables entered and are explained as follows: Order refers to the order in which each participant was presented with the message, Frame reflect to the message frame, and Intrinsic and Extrinsic represent the goal orientation scores of participants. Within each Independent variable column, the Ward test statistic was presented first, followed by the Odds Ratio score, with the confidence interval in []. R2 represents the explained variation in the likelihood participants choose to do the activity based on the independent variables included in the model using Nagelkerke R2. PAC represents the percentage accuracy in classification which denotes the percentage of participants that could be correctly classified (choosing to do the activity or not) based on the independent variables included in the model. Significance was illustrated as follows: *p < .01, **p < .05, ***p < .001.

DOI: https://doi.org/10.5334/paah.121 | Journal eISSN: 2515-2270
Language: English
Submitted on: Jul 14, 2021
Accepted on: Jul 24, 2021
Published on: Sep 13, 2021
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2021 J. Paige Pope, Luc G. Pelletier, Hayley Wall, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.