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Published in: BMC Public Health 1/2018

Open Access 01-12-2018 | Research article

Motivational profiles, accelerometer-derived physical activity, and acute diabetes-related symptoms in adults with type 2 diabetes

Authors: Alexandre Castonguay, Paule Miquelon

Published in: BMC Public Health | Issue 1/2018

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Abstract

Background

Using self-determination theory, the objective of this study was to examine, over a one-month period, how physical activity (PA) motivation would influence accelerometer-derived PA behavior, and ultimately, acute diabetes-related symptoms burden among adults with type 2 diabetes (T2D adults). Using both a person and variable-centered approach, this objective was attained by means of: 1) investigating the indirect effect of PA participation on the relationship between PA motivation and acute diabetes-related symptom burden and 2) examining whether participants who met PA recommendations (i.e., 150 min of moderate-to-vigorous PA per week) would experience less acute diabetes-related symptom burden over a one-month period.

Methods

A two-wave prospective longitudinal design was used. At time 1, participants completed a questionnaire assessing their PA motivation and were asked to wear an ActiGraph GT3x accelerometer for four consecutive weeks. At time 2, they completed a short questionnaire assessing their acute diabetes-related symptoms (i.e., symptoms related to fatigue, cognitive distress, hyperglycemia, and hypoglycemia). The final sample includes 165 adults (89 or 53.61% women) aged from 26 to 75 years (M = 62.05, SD = 8.75) with T2D, which provided at least 21 valid days of accelerometer-derived data.

Results

First, results of a path analysis demonstrated that over a one-month period, the average number of minutes spent practicing moderate to vigorous PA per week mediated the relationship between intrinsic and external PA motivation and the level of burden associated with the following diabetes-related symptoms: fatigue, cognitive distress, and hyperglycemia. In addition, results of covariance analyses showed that participants meeting PA recommendations also reported significantly less burden associated with these three symptoms over a month period. Then, the existence of four motivational profiles (Self-Determined, High Introjected, Low Motivation, and Non-Self-Determined) was confirmed using a k-means analysis. Results of covariance and chi-square analyses further showed, respectively, that compared to other motivational profiles, the Self-Determined profile was associated with a higher score on weekly PA participation and meeting PA recommendations.

Conclusions

The results highlight the importance of promoting autonomous motives for PA participation among T2D adults. They also suggest that T2D adults meeting PA recommendations experience less acute diabetes-related symptoms burden, which further support the importance of their PA motivation.
Footnotes
1
While the mean age of participants (62.05 years old) is high, it is still representative of the T2D adult population; therefore, the generalizability of the results is not threatened. In fact, 90% of adults diagnosed with diabetes in the US are 45 years old or older, with almost half being 65 or older [71]. The proportions are similar for Canadians [72, 73].
 
Literature
1.
2.
go back to reference Colberg SR, Sigal RJ, Fernhall B, Regensteiner JG, Blissmer BJ, Rubin RR, Chasan-Taber L, Albright AL, Braun B. Exercise and type 2 diabetes: the american college of sports medicine and the american diabetes association: joint position statement. Diabetes Care. 2010;33:e147–67.CrossRefPubMedPubMedCentral Colberg SR, Sigal RJ, Fernhall B, Regensteiner JG, Blissmer BJ, Rubin RR, Chasan-Taber L, Albright AL, Braun B. Exercise and type 2 diabetes: the american college of sports medicine and the american diabetes association: joint position statement. Diabetes Care. 2010;33:e147–67.CrossRefPubMedPubMedCentral
3.
go back to reference Snowling NJ, Hopkins WG. Effects of different modes of exercise training on glucose control and risk factors for complications in type 2 diabetic patients: a meta-analysis. Diabetes Care. 2006;29:2518–27.CrossRefPubMed Snowling NJ, Hopkins WG. Effects of different modes of exercise training on glucose control and risk factors for complications in type 2 diabetic patients: a meta-analysis. Diabetes Care. 2006;29:2518–27.CrossRefPubMed
4.
go back to reference Colberg SR, Sigal RJ, Yardley JE, Riddell MC, Dunstan DW, Dempsey PC, Horton ES, Castorino K, Tate DF. Physical activity/exercise and diabetes: a position statement of the American Diabetes Association. Diabetes Care. 2016;39:2065–79.CrossRefPubMed Colberg SR, Sigal RJ, Yardley JE, Riddell MC, Dunstan DW, Dempsey PC, Horton ES, Castorino K, Tate DF. Physical activity/exercise and diabetes: a position statement of the American Diabetes Association. Diabetes Care. 2016;39:2065–79.CrossRefPubMed
5.
go back to reference Sigal RJ, Armstrong MJ, Colby P, Kenny GP, Plotnikoff RC, Reichert SM, Riddell MC. Physical activity and diabetes. Canadian Journal of Diabetes. 2013;37(Supplement 1):S40–4.CrossRefPubMed Sigal RJ, Armstrong MJ, Colby P, Kenny GP, Plotnikoff RC, Reichert SM, Riddell MC. Physical activity and diabetes. Canadian Journal of Diabetes. 2013;37(Supplement 1):S40–4.CrossRefPubMed
6.
go back to reference Morrato EH, Hill JO, Wyatt HR, Ghushchyan V, Sullivan PW. Physical activity in U.S. adults with diabetes and at risk for developing diabetes, 2003. Diabetes Care. 2007;30:203–9.CrossRefPubMed Morrato EH, Hill JO, Wyatt HR, Ghushchyan V, Sullivan PW. Physical activity in U.S. adults with diabetes and at risk for developing diabetes, 2003. Diabetes Care. 2007;30:203–9.CrossRefPubMed
7.
go back to reference Public Health Agency of Canada. (2002) Diabetes in Canada – Second edition. Public Health Agency of Canada. (2002) Diabetes in Canada – Second edition.
8.
go back to reference Plotnikoff RC, Johnson ST, Loucaides CA, Bauman AE, Karunamuni ND, Pickering MA. Population-based estimates of physical activity for adults with type 2 diabetes: a cautionary tale of potential confounding by weight status. J Obes. 2011;2011:1-5. Article ID 561432 Plotnikoff RC, Johnson ST, Loucaides CA, Bauman AE, Karunamuni ND, Pickering MA. Population-based estimates of physical activity for adults with type 2 diabetes: a cautionary tale of potential confounding by weight status. J Obes. 2011;2011:1-5. Article ID 561432
9.
go back to reference Barrett JE, Plotnikoff RC, Courneya KS, Raine KD. Physical activity and type 2 diabetes: exploring the role of gender and income. Diabetes Educ. 2007;33:128–43.CrossRefPubMed Barrett JE, Plotnikoff RC, Courneya KS, Raine KD. Physical activity and type 2 diabetes: exploring the role of gender and income. Diabetes Educ. 2007;33:128–43.CrossRefPubMed
10.
go back to reference Deci EL, Ryan RM. The 'what' and 'why' of goal pursuits: human needs and the self-determination of behavior. Psychol Inq. 2000;11:227–68.CrossRef Deci EL, Ryan RM. The 'what' and 'why' of goal pursuits: human needs and the self-determination of behavior. Psychol Inq. 2000;11:227–68.CrossRef
11.
go back to reference Teixeira PJ, Carraça EV, Markland D, Silva MN, Ryan RM. Exercise, physical activity, and self-determination theory: a systematic review. Int J Behav Nutr Phys Act. 2012;9:1–30.CrossRef Teixeira PJ, Carraça EV, Markland D, Silva MN, Ryan RM. Exercise, physical activity, and self-determination theory: a systematic review. Int J Behav Nutr Phys Act. 2012;9:1–30.CrossRef
12.
go back to reference Healey J. Motivational predictors of increases in physical activity behaviour, health, and well-being among patients with diabetes mellitius type 2 and cardiovascular disease: testing self-determination theory in a randomized clincal trial. Master thesis in Sport Sciences, Department of Coaching and Psychology, Norwegian School of Sport Sciences, 2013. Healey J. Motivational predictors of increases in physical activity behaviour, health, and well-being among patients with diabetes mellitius type 2 and cardiovascular disease: testing self-determination theory in a randomized clincal trial. Master thesis in Sport Sciences, Department of Coaching and Psychology, Norwegian School of Sport Sciences, 2013.
13.
go back to reference Sweet SN, Fortier MS, Guérin E, Tulloch H, Sigal RJ, Kenny GP, Reid RD. Understanding physical activity in adults with type 2 diabetes after completing an exercise intervention trial: a mediation model of self-efficacy and autonomous motivation. Psychol Health Med. 2009;14:419–29.CrossRefPubMed Sweet SN, Fortier MS, Guérin E, Tulloch H, Sigal RJ, Kenny GP, Reid RD. Understanding physical activity in adults with type 2 diabetes after completing an exercise intervention trial: a mediation model of self-efficacy and autonomous motivation. Psychol Health Med. 2009;14:419–29.CrossRefPubMed
14.
go back to reference Fortier MS, Sweet SN, Tulloch H, Blanchard CM, Sigal RJ, Kenny GP, Reid RD. Self-determination and exercise stages of change: results from the diabetes aerobic and resistance exercise trial. J Health Psychol. 2012;17:87–99.CrossRefPubMed Fortier MS, Sweet SN, Tulloch H, Blanchard CM, Sigal RJ, Kenny GP, Reid RD. Self-determination and exercise stages of change: results from the diabetes aerobic and resistance exercise trial. J Health Psychol. 2012;17:87–99.CrossRefPubMed
15.
go back to reference Krishnan S, Tokar TN, Boylan MM, Griffin K, Feng D, Mcmurry L, Esperat C, Cooper JA. Zumba® dance improves health in overweight/obese or type 2 diabetic women. Am J Health Behav. 2015;39:109–20.CrossRefPubMed Krishnan S, Tokar TN, Boylan MM, Griffin K, Feng D, Mcmurry L, Esperat C, Cooper JA. Zumba® dance improves health in overweight/obese or type 2 diabetic women. Am J Health Behav. 2015;39:109–20.CrossRefPubMed
16.
go back to reference Koponen AM, Simonsen N, Suominen S. Determinants of physical activity among patients with type 2 diabetes: the role of perceived autonomy support, autonomous motivation and self-care competence. Psychol Health Med. 2017;22:332–44.CrossRefPubMed Koponen AM, Simonsen N, Suominen S. Determinants of physical activity among patients with type 2 diabetes: the role of perceived autonomy support, autonomous motivation and self-care competence. Psychol Health Med. 2017;22:332–44.CrossRefPubMed
17.
go back to reference Miquelon P, Castonguay A. Motives for participation in physical activity and observance of physical activity recommendations among adults with type 2 diabetes. Can J Diabetes. 2016;40(5):399–405.CrossRefPubMed Miquelon P, Castonguay A. Motives for participation in physical activity and observance of physical activity recommendations among adults with type 2 diabetes. Can J Diabetes. 2016;40(5):399–405.CrossRefPubMed
18.
go back to reference Castonguay A, Miquelon P. Motivational profiles for physical activity among adults with type 2 diabetes and their relationships with physical activity behavior. Health Psychology and Behavioral Medicine. 2017;5:110–28.CrossRef Castonguay A, Miquelon P. Motivational profiles for physical activity among adults with type 2 diabetes and their relationships with physical activity behavior. Health Psychology and Behavioral Medicine. 2017;5:110–28.CrossRef
19.
go back to reference Gourlan M, Trouilloud D, Boiché J. Motivational profiles for physical activity practice in adults with type 2 diabetes: a self-determination theory perspective. Behav Med. 2015:1–11. Gourlan M, Trouilloud D, Boiché J. Motivational profiles for physical activity practice in adults with type 2 diabetes: a self-determination theory perspective. Behav Med. 2015:1–11.
20.
go back to reference Deci EL, Ryan RM: Handbook of self-determination research. Rochester, NY, US: university Rochester press; 2002. Deci EL, Ryan RM: Handbook of self-determination research. Rochester, NY, US: university Rochester press; 2002.
21.
go back to reference Vallerand RJ: Toward a hierarchical model of intrinsic and extrinsic motivation. In Advances in experimental social psychology, Vol 29. Edited by Zanna MP. San Diego, CA: Academic Press; 1997: 271–360, 366, ix: Publication Status: Fully Published]. Vallerand RJ: Toward a hierarchical model of intrinsic and extrinsic motivation. In Advances in experimental social psychology, Vol 29. Edited by Zanna MP. San Diego, CA: Academic Press; 1997: 271–360, 366, ix: Publication Status: Fully Published].
22.
go back to reference Patrick H. Ascending mount Maslow with oxygen to spare: a self-determination theory perspective. Psychol Inq. 2014;25:101–7.CrossRef Patrick H. Ascending mount Maslow with oxygen to spare: a self-determination theory perspective. Psychol Inq. 2014;25:101–7.CrossRef
23.
go back to reference Pintrich PR. A motivational science perspective on the role of student motivation in learning and teaching contexts. J Educ Psychol. 2003;95:667–86.CrossRef Pintrich PR. A motivational science perspective on the role of student motivation in learning and teaching contexts. J Educ Psychol. 2003;95:667–86.CrossRef
24.
go back to reference Vansteenkiste M, Sierens E, Soenens B, Luyckx K, Lens W. Motivational profiles from a self-determination perspective: the quality of motivation matters. J Educ Psychol. 2009;101:671–88.CrossRef Vansteenkiste M, Sierens E, Soenens B, Luyckx K, Lens W. Motivational profiles from a self-determination perspective: the quality of motivation matters. J Educ Psychol. 2009;101:671–88.CrossRef
25.
go back to reference Umpierre D, Ribeiro PA, Schaan BD, Ribeiro JP. Volume of supervised exercise training impacts glycaemic control in patients with type 2 diabetes: a systematic review with meta-regression analysis. Diabetologia. 2013;56:242–51.CrossRefPubMed Umpierre D, Ribeiro PA, Schaan BD, Ribeiro JP. Volume of supervised exercise training impacts glycaemic control in patients with type 2 diabetes: a systematic review with meta-regression analysis. Diabetologia. 2013;56:242–51.CrossRefPubMed
26.
go back to reference Umpierre D, Ribeiro PB, Kramer CK, et al. Physical activity advice only or structured exercise training and association with hba1c levels in type 2 diabetes: a systematic review and meta-analysis. JAMA. 2011;305:1790–9.CrossRefPubMed Umpierre D, Ribeiro PB, Kramer CK, et al. Physical activity advice only or structured exercise training and association with hba1c levels in type 2 diabetes: a systematic review and meta-analysis. JAMA. 2011;305:1790–9.CrossRefPubMed
27.
go back to reference Grace A, Chan E, Giallauria F, Graham PL, Smart NA. Clinical outcomes and glycaemic responses to different aerobic exercise training intensities in type II diabetes: a systematic review and meta-analysis. Cardiovasc Diabetol. 2017;16:37.CrossRefPubMedPubMedCentral Grace A, Chan E, Giallauria F, Graham PL, Smart NA. Clinical outcomes and glycaemic responses to different aerobic exercise training intensities in type II diabetes: a systematic review and meta-analysis. Cardiovasc Diabetol. 2017;16:37.CrossRefPubMedPubMedCentral
28.
go back to reference Naegeli AN, Stump TE, Hayes RP. A psychometric evaluation of the diabetes symptom checklist-revised (DSC-R) cognitive distress, fatigue, hyperglycemia, and hypoglycemia subscales in patients with type 1 and type 2 diabetes. Diabetes, metabolic syndrome and obesity : targets and therapy. 2010;3:27–30.CrossRef Naegeli AN, Stump TE, Hayes RP. A psychometric evaluation of the diabetes symptom checklist-revised (DSC-R) cognitive distress, fatigue, hyperglycemia, and hypoglycemia subscales in patients with type 1 and type 2 diabetes. Diabetes, metabolic syndrome and obesity : targets and therapy. 2010;3:27–30.CrossRef
29.
go back to reference Brunet J, Burke SM, Sabiston CM. The benefits of being self-determined in promoting physical activity and affective well-being among women recently treated for breast cancer. Psychooncology. 2013;22:2245–52.PubMed Brunet J, Burke SM, Sabiston CM. The benefits of being self-determined in promoting physical activity and affective well-being among women recently treated for breast cancer. Psychooncology. 2013;22:2245–52.PubMed
30.
go back to reference Fennell CG. The effects of a 16-week exercise program and cell phone use on physical activity, sedentary behavior, and health-related outcomes: Kent State University College; 2016. Fennell CG. The effects of a 16-week exercise program and cell phone use on physical activity, sedentary behavior, and health-related outcomes: Kent State University College; 2016.
31.
go back to reference Standage M, Sebire SJ, Loney T. Does exercise motivation predict engagement in objectively assessed bouts of moderate-intensity exercise?: a self-determination theory perspective. Journal of Sport and exercise Psychology. 2008;30:337–52.CrossRefPubMed Standage M, Sebire SJ, Loney T. Does exercise motivation predict engagement in objectively assessed bouts of moderate-intensity exercise?: a self-determination theory perspective. Journal of Sport and exercise Psychology. 2008;30:337–52.CrossRefPubMed
32.
go back to reference Davis CM. The association between physical self-disrepancy and physical activity: the mediating role of motivation: Sam Houston State University; 2017. Davis CM. The association between physical self-disrepancy and physical activity: the mediating role of motivation: Sam Houston State University; 2017.
33.
go back to reference Scarapicchia TM, Sabiston CM, O'Loughlin E, Brunet J, Chaiton M, O'Loughlin JL. Physical activity motivation mediates the association between depression symptoms and moderate-to-vigorous physical activity. Prev Med. 2014;66:45–8.CrossRefPubMed Scarapicchia TM, Sabiston CM, O'Loughlin E, Brunet J, Chaiton M, O'Loughlin JL. Physical activity motivation mediates the association between depression symptoms and moderate-to-vigorous physical activity. Prev Med. 2014;66:45–8.CrossRefPubMed
34.
go back to reference Bryant S. Emotional response to an exercise questionnaire in overweight women: Arizona State University; 2016. Bryant S. Emotional response to an exercise questionnaire in overweight women: Arizona State University; 2016.
35.
go back to reference Yu C-A. Motivation and physical activity among rheumatoid arthritis patients: a self determination theory approach. School of Sport, Exercise, and Rehabilitation Sciences: University of Birmingham; 2015. Yu C-A. Motivation and physical activity among rheumatoid arthritis patients: a self determination theory approach. School of Sport, Exercise, and Rehabilitation Sciences: University of Birmingham; 2015.
36.
go back to reference Sebire SJ, Standage M, Vansteenkiste M. Predicting objectively assessed physical activity from the content and regulation of exercise goals: evidence for a mediational model. J Sport Exerc Psychol. 2011;33:175–97.CrossRefPubMed Sebire SJ, Standage M, Vansteenkiste M. Predicting objectively assessed physical activity from the content and regulation of exercise goals: evidence for a mediational model. J Sport Exerc Psychol. 2011;33:175–97.CrossRefPubMed
37.
go back to reference Phillips LA, Johnson MA. Interdependent Effects of Autonomous and Controlled Regulation on Exercise Behavior. Personality & Social Psychology Bulletin. 2018;44(1):49–62.CrossRef Phillips LA, Johnson MA. Interdependent Effects of Autonomous and Controlled Regulation on Exercise Behavior. Personality & Social Psychology Bulletin. 2018;44(1):49–62.CrossRef
38.
go back to reference Brunet J, Gunnell KE, Gaudreau P, Sabiston CM. An integrative analytical framework for understanding the effects of autonomous and controlled motivation. Pers Individ Dif. 2015;84:2–15.CrossRef Brunet J, Gunnell KE, Gaudreau P, Sabiston CM. An integrative analytical framework for understanding the effects of autonomous and controlled motivation. Pers Individ Dif. 2015;84:2–15.CrossRef
39.
go back to reference Hair JF, Black WC, Babin BJ, Anderson RE. Multivariate data analysis. 7th edn. Upper Saddle River, NJ: Prentice Hall; 2009. Hair JF, Black WC, Babin BJ, Anderson RE. Multivariate data analysis. 7th edn. Upper Saddle River, NJ: Prentice Hall; 2009.
40.
go back to reference Markland D, Tobin V. A modification to the Behavioural regulation in exercise questionnaire to include an assessment of amotivation. J Sport Exerc Psychol. 2004;26:191–6.CrossRef Markland D, Tobin V. A modification to the Behavioural regulation in exercise questionnaire to include an assessment of amotivation. J Sport Exerc Psychol. 2004;26:191–6.CrossRef
41.
go back to reference Freedson PS, Melanson E, Sirard J. Calibration of the computer science and applications, Inc. accelerometer. Med Sci Sports Exerc. 1998;30:777–81.CrossRefPubMed Freedson PS, Melanson E, Sirard J. Calibration of the computer science and applications, Inc. accelerometer. Med Sci Sports Exerc. 1998;30:777–81.CrossRefPubMed
42.
go back to reference Troiano RP, Berrigan D, Dodd KW, Masse LC, Tilert T, McDowell M. Physical activity in the United States measured by accelerometer. Med Sci Sports Exerc. 2008;40:181–8.CrossRefPubMed Troiano RP, Berrigan D, Dodd KW, Masse LC, Tilert T, McDowell M. Physical activity in the United States measured by accelerometer. Med Sci Sports Exerc. 2008;40:181–8.CrossRefPubMed
43.
go back to reference Migueles JH, Cadenas-Sanchez C, Ekelund U, Delisle Nyström C, Mora-Gonzalez J, Löf M, Labayen I, Ruiz JR, Ortega FB. Accelerometer data collection and processing criteria to assess physical activity and other outcomes: a systematic review and practical considerations. Sports Med. 2017;47:1821–45.CrossRefPubMed Migueles JH, Cadenas-Sanchez C, Ekelund U, Delisle Nyström C, Mora-Gonzalez J, Löf M, Labayen I, Ruiz JR, Ortega FB. Accelerometer data collection and processing criteria to assess physical activity and other outcomes: a systematic review and practical considerations. Sports Med. 2017;47:1821–45.CrossRefPubMed
44.
go back to reference Grootenhuis PA, Snoek FJ, Heine RJ, Bouter LM. Development of a type 2 diabetes symptom checklist: a measure of symptom severity. Diabet Med. 1994;11:253–61.CrossRefPubMed Grootenhuis PA, Snoek FJ, Heine RJ, Bouter LM. Development of a type 2 diabetes symptom checklist: a measure of symptom severity. Diabet Med. 1994;11:253–61.CrossRefPubMed
45.
go back to reference Arbuckle RA, Humphrey L, Vardeva K, Arondekar B, Danten-Viala M, Scott JA, Snoek FJ. Psychometric evaluation of the diabetes symptom checklist-revised (DSC-R)--a measure of symptom distress. Value Health. 2009;12:1168–75.CrossRefPubMed Arbuckle RA, Humphrey L, Vardeva K, Arondekar B, Danten-Viala M, Scott JA, Snoek FJ. Psychometric evaluation of the diabetes symptom checklist-revised (DSC-R)--a measure of symptom distress. Value Health. 2009;12:1168–75.CrossRefPubMed
46.
go back to reference Tabachnick BG, Fidell LS: Using Multivariate Statistics. Boston, MA: Pearson Education; 2013. Tabachnick BG, Fidell LS: Using Multivariate Statistics. Boston, MA: Pearson Education; 2013.
47.
go back to reference Bowen NK, Guo S. Structural equation modeling: Oxford University Press; 2011. Bowen NK, Guo S. Structural equation modeling: Oxford University Press; 2011.
48.
go back to reference Hu LT, Bentler PM. Cutoff criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives. Struct Equ Model Multidiscip J. 1999;6:1–55.CrossRef Hu LT, Bentler PM. Cutoff criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives. Struct Equ Model Multidiscip J. 1999;6:1–55.CrossRef
49.
go back to reference Chernick MR: Bootstrap methods: a guide for practitioners and researchers. 2nd edn. Hoboken, New Jersey: John Wiley & Sons; 2007. Chernick MR: Bootstrap methods: a guide for practitioners and researchers. 2nd edn. Hoboken, New Jersey: John Wiley & Sons; 2007.
50.
go back to reference Wang CKJ, Biddle SJH. Young people's motivational profiles in physical activity: a cluster analysis. J Sport Exerc Psychol. 2001;23:1–22.CrossRef Wang CKJ, Biddle SJH. Young people's motivational profiles in physical activity: a cluster analysis. J Sport Exerc Psychol. 2001;23:1–22.CrossRef
51.
go back to reference Friederichs SA, Bolman C, Oenema A, Lechner L. Profiling physical activity motivation based on self-determination theory: a cluster analysis approach. BMC Psychology. 2015;3(1) Friederichs SA, Bolman C, Oenema A, Lechner L. Profiling physical activity motivation based on self-determination theory: a cluster analysis approach. BMC Psychology. 2015;3(1)
52.
go back to reference Guerin E, Fortier M. Motivational profiles for physical activity: cluster analysis and links with enjoyment. Revue phénEPS/PHEnex Journal. 2012;4:1–21. Guerin E, Fortier M. Motivational profiles for physical activity: cluster analysis and links with enjoyment. Revue phénEPS/PHEnex Journal. 2012;4:1–21.
53.
go back to reference Matsumoto H, Takenaka K. Motivational profiles and stages of exercise behavior change. International Journal of Sport and Health Science. 2004;2:89–96.CrossRef Matsumoto H, Takenaka K. Motivational profiles and stages of exercise behavior change. International Journal of Sport and Health Science. 2004;2:89–96.CrossRef
54.
go back to reference Ullrich-French S, Cox A. Using cluster analysis to examine the combinations of motivation regulations of physical education students. J Sport Exerc Psychol. 2009;31:358–79.CrossRefPubMed Ullrich-French S, Cox A. Using cluster analysis to examine the combinations of motivation regulations of physical education students. J Sport Exerc Psychol. 2009;31:358–79.CrossRefPubMed
55.
go back to reference Stephan Y, Boiché J, Le Scanff C. Motivation and physical activity behaviors among older women: a self-determination perspective. Psychol Women Q. 2010;34:339–48.CrossRef Stephan Y, Boiché J, Le Scanff C. Motivation and physical activity behaviors among older women: a self-determination perspective. Psychol Women Q. 2010;34:339–48.CrossRef
56.
go back to reference Efron B, Tibshirani RJ: An introduction to the bootstrap. 1 edn. New York, NY: Chapman and Hall/CRC; 1993. Efron B, Tibshirani RJ: An introduction to the bootstrap. 1 edn. New York, NY: Chapman and Hall/CRC; 1993.
57.
go back to reference Rea LM, Parker RA. Designing and conducting survey research: a comprehensive guide. San Francisco: Jossey-Bass; 2014. Rea LM, Parker RA. Designing and conducting survey research: a comprehensive guide. San Francisco: Jossey-Bass; 2014.
58.
go back to reference Senécal C, Nouwen A, White D. Motivation and dietary self-care in adults with diabetes: are self-efficacy and autonomous self-regulation complementary or competing constructs? Health Psychol. 2000;19:452–7.CrossRefPubMed Senécal C, Nouwen A, White D. Motivation and dietary self-care in adults with diabetes: are self-efficacy and autonomous self-regulation complementary or competing constructs? Health Psychol. 2000;19:452–7.CrossRefPubMed
59.
go back to reference Williams GC, McGregor HA, Zeldman A, Freedman ZR, Deci EL. Testing a self-determination theory process model for promoting glycemic control through diabetes self-management. Health Psychol. 2004;23:58–66.CrossRefPubMed Williams GC, McGregor HA, Zeldman A, Freedman ZR, Deci EL. Testing a self-determination theory process model for promoting glycemic control through diabetes self-management. Health Psychol. 2004;23:58–66.CrossRefPubMed
60.
go back to reference MacKinnon DP. Introduction to statistical mediation analysis: Lawrence Erlbaum Associates; 2008. MacKinnon DP. Introduction to statistical mediation analysis: Lawrence Erlbaum Associates; 2008.
61.
go back to reference Miquelon P, Chamberland P-É, Castonguay A. The contribution of integrated regulation to adults’ motivational profiles for physical activity: a self-determination theory perspective. International Journal of Sport and Exercise Psychology. 2016;15:1–20. Miquelon P, Chamberland P-É, Castonguay A. The contribution of integrated regulation to adults’ motivational profiles for physical activity: a self-determination theory perspective. International Journal of Sport and Exercise Psychology. 2016;15:1–20.
62.
go back to reference Gagné M, Deci EL. Self-determination theory and work motivation. J Organ Behav. 2005;26:331–62.CrossRef Gagné M, Deci EL. Self-determination theory and work motivation. J Organ Behav. 2005;26:331–62.CrossRef
63.
go back to reference Cohen J. Statistical power analysis for the behavioral sciences. L. Erlbaum Associates: Hillsdale, N.J; 1988. Cohen J. Statistical power analysis for the behavioral sciences. L. Erlbaum Associates: Hillsdale, N.J; 1988.
64.
go back to reference Erdfelder E, Faul F, Buchner A. GPOWER: a general power analysis program. Behav Res Methods Instrum Comput. 1996;28:1–11.CrossRef Erdfelder E, Faul F, Buchner A. GPOWER: a general power analysis program. Behav Res Methods Instrum Comput. 1996;28:1–11.CrossRef
65.
go back to reference Faul F, Erdfelder E, Lang A-G, Buchner A. G*power 3: a flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behav Res Methods. 2007;39:175–91.CrossRefPubMed Faul F, Erdfelder E, Lang A-G, Buchner A. G*power 3: a flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behav Res Methods. 2007;39:175–91.CrossRefPubMed
66.
go back to reference Swartz AM, Strath SJ, Bassett DR, O’brien WL, King GA, Ainsworth BE. Estimation of energy expenditure using CSA accelerometers at hip and wrist sites. Med Sci Sports Exerc. 2000;32:S450–6.CrossRefPubMed Swartz AM, Strath SJ, Bassett DR, O’brien WL, King GA, Ainsworth BE. Estimation of energy expenditure using CSA accelerometers at hip and wrist sites. Med Sci Sports Exerc. 2000;32:S450–6.CrossRefPubMed
67.
go back to reference Hendelman D, Miller K, Baggett C, Debold E, Freedson P. Validity of accelerometry for the assessment of moderate intensity physical activity in the field. Med Sci Sports Exerc. 2000;32:S442–9.CrossRefPubMed Hendelman D, Miller K, Baggett C, Debold E, Freedson P. Validity of accelerometry for the assessment of moderate intensity physical activity in the field. Med Sci Sports Exerc. 2000;32:S442–9.CrossRefPubMed
68.
go back to reference Strath SJ, Kaminsky LA, Ainsworth BE, Ekelund U, Freedson PS, Gary RA, Richardson CR, Smith DT, Swartz AM. Guide to the assessment of physical activity: clinical and research applications: a scientific statement from the American Heart Association. Circulation. 2013;128:2259–79.CrossRefPubMed Strath SJ, Kaminsky LA, Ainsworth BE, Ekelund U, Freedson PS, Gary RA, Richardson CR, Smith DT, Swartz AM. Guide to the assessment of physical activity: clinical and research applications: a scientific statement from the American Heart Association. Circulation. 2013;128:2259–79.CrossRefPubMed
69.
go back to reference Ly TT, Breton MD, Keith-Hynes P, De Salvo D, Clinton P, Benassi K, Mize B, Chernavvsky D, Place J, Wilson DM, et al. Overnight glucose control with an automated, unified safety system in children and adolescents with type 1 diabetes at diabetes camp. Diabetes Care. 2014;37:2310–6.CrossRefPubMedPubMedCentral Ly TT, Breton MD, Keith-Hynes P, De Salvo D, Clinton P, Benassi K, Mize B, Chernavvsky D, Place J, Wilson DM, et al. Overnight glucose control with an automated, unified safety system in children and adolescents with type 1 diabetes at diabetes camp. Diabetes Care. 2014;37:2310–6.CrossRefPubMedPubMedCentral
70.
go back to reference Dyrstad SM, Hansen BH, Holme IM, Anderssen SA. Comparison of self-reported versus accelerometer-measured physical activity. Med Sci Sports Exerc. 2014;46:99–106.CrossRefPubMed Dyrstad SM, Hansen BH, Holme IM, Anderssen SA. Comparison of self-reported versus accelerometer-measured physical activity. Med Sci Sports Exerc. 2014;46:99–106.CrossRefPubMed
71.
go back to reference Centers for Disease Control and Prevention. National Diabetes Statistics Report, 2017; estimates of diabetes and its burden in the United States. Atlanta, GA: U.S. Department of Health and Human Services; 2017. Centers for Disease Control and Prevention. National Diabetes Statistics Report, 2017; estimates of diabetes and its burden in the United States. Atlanta, GA: U.S. Department of Health and Human Services; 2017.
72.
go back to reference Public Health Agency of Canada. Diabetes in Canada: Facts and figures from a public health perspective. 2011 Public Health Agency of Canada. Diabetes in Canada: Facts and figures from a public health perspective. 2011
73.
go back to reference Leiter LA, Berard L, Bowering CK, Cheng AY, Dawson KG, Ekoe JM, Fournier C, Goldin L, Harris SB, Lin P, et al. Type 2 diabetes mellitus management in Canada: is it improving? Can J Diabetes. 2013;37:82–9.CrossRefPubMed Leiter LA, Berard L, Bowering CK, Cheng AY, Dawson KG, Ekoe JM, Fournier C, Goldin L, Harris SB, Lin P, et al. Type 2 diabetes mellitus management in Canada: is it improving? Can J Diabetes. 2013;37:82–9.CrossRefPubMed
Metadata
Title
Motivational profiles, accelerometer-derived physical activity, and acute diabetes-related symptoms in adults with type 2 diabetes
Authors
Alexandre Castonguay
Paule Miquelon
Publication date
01-12-2018
Publisher
BioMed Central
Published in
BMC Public Health / Issue 1/2018
Electronic ISSN: 1471-2458
DOI
https://doi.org/10.1186/s12889-018-5376-y

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