Motivational, volitional and multiple goal predictors of walking in people with type 2 diabetes

Namadian, Masoumeh; Presseau, Justin; Watson, Margaret; Bond, Christine; Sniehotta, Falko F.

doi:10.1016/j.psychsport.2016.06.006

Cited by 12 publications

(17 citation statements)

References 57 publications

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“…revealed borderline significant relationship between self-efficacy and walking has been documented. [ 16 ] Also, these findings are in line with the local interventional studies which has been carried out in Iranian population. [ 36 ] Consecutive harvests by all of these various studies can inform us about the strong role of this construct in HAPA.…”

Section: Discussionsupporting

confidence: 82%

“…This study revealed that more outcome expectation of doing PA is not associated with more intention to do PA. Our results is in accord with previous findings in T2DM patients. [ 16 37 ] However, a significant relationship has been previously reported between this construct and intention in nondiabetics populations. [ 15 38 39 ] A probable explanation might be that the target population of our study was diabetic patients who have low life expectation and low quality of life.…”

Section: Discussionmentioning

confidence: 99%

“…Health action process approach (HAPA) is a hybrid model that provides clear identification of beliefs underling a wide range of health behaviors[ 13 14 15 ] accordingly could be adopted to improve PA for interventional purposes in Iranian T2DM patients. [ 15 16 ]…”

Section: Introductionmentioning

confidence: 99%

“…[ 18 ] In brief, the model suggests that there are theory-driven constructs that determine relevant targets for an intervention for people at different stages of change. Previous studies highlighted planning and self-efficacy constructs as most prominent predictors of PA.[ 12 16 19 ] However, it is necessary to test theoretical frameworks in target population to identify factors that can be handled to achieve optimal behavior change before implementing the intervention. [ 20 ] This study aimed to test the predictive power of the HAPA in perceiving PA behavior among T2DM patients.…”

Section: Introductionmentioning

confidence: 99%

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Predictors of physical activity among adults with Type 2 diabetes mellitus, Isfahan, 2015: Structural equation modeling approach

et al. 2018

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Background:The prevalence of Type 2 diabetes mellitus (T2DM) has been increasing globally in the recent decades. Physical activity (PA) helps preventing diabetes complications by keeping the blood sugar of T2DM patients within the normal range. The objective of this study was to explore underlying beliefs corresponding to PA in T2DM patients using health action process approach (HAPA).Methods:This cross-sectional study was conducted in Isfahan, 2015. A convenience sample of 203 participants with T2DM was collected. Participants completed HAPA inventory containing the following constructs: Risk perception, outcome expectation, task self-efficacy, intention, action and coping planning, coping self-efficacy, recovery self-efficacy, and PA questionnaire. Structural equation modeling was used for statistical analysis.Results:The common fit indices revealed that the HAPA had an acceptable fit to the observations (CMIN/df = 2.36 [P < 0.001], root mean square error of approximation = 0.089, comparative fit index = 0.891, normal fit index = 0.902). Intention was associated with task self-efficacy (β = 0.92, P < 0.001), whereas risk perception (β = 0.16, P = 0.073) and outcome expectation (β = 0.32, P < 0.081) did not predict intention to participate in PA behavior. PA was well predicted by planning (β =0.84, P < 0.01) while it was not significantly associated to coping self-efficacy (β = 0.66, P = 0.73) and recovery self-efficacy (β = 0.6, P = 0.69).Conclusions:HAPA could be used as a proper framework to identify the beliefs of the patients with T2DM and guide for effective theory-based interventions regarding PA.

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Section: Discussionsupporting

confidence: 82%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Predictors of physical activity among adults with Type 2 diabetes mellitus, Isfahan, 2015: Structural equation modeling approach

et al. 2018

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“…Ideally, dieters would use their self‐control resources to inhibit themselves from eating unhealthily; however, this assumes that dieting occurs in a vacuum. In reality, eating self‐control is but one of a range of other activities in everyday life, including paid and unpaid work, childcare, leisure and transportation (Namadian et al ; Presseau et al : Evans et al ). The daily energy expended in each of these activities contributes to depleting one's overall capacity for self‐control.…”

Section: Introductionmentioning

confidence: 99%

Work Me Not Into Temptation: Exploring the Relationship between Work and Healthy Eating in Dieters Using Data from the HILDA Survey

Brown

Presseau²

2018

Australian Economic Review

Self Cite

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We explore if competing demands measured in terms of market and non-market activities impact on dieters' resolve to eat healthily. The analysis uses data from 2007 and 2009 of the Household Income and Labour Dynamics of Australia (HILDA) survey. The estimation strategy employs a random effects maximum likelihood estimator. For women, being unemployed is negatively associated with healthy eating whereas having young children is positively associated with healthy eating. For both genders, being divorced is negatively associated with healthy eating. Working in higher socioeconomic occupations is positively associated with healthy eating.

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Predicting psychological factors affecting regular physical activity in hypertensive patients: Application of health action process approach model

2020

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Aim The aim of this study was to determine the factors affecting the behaviour of regular physical activity in patients with hypertension using the health action process approach (HAPA) model. Design This cross‐sectional study was conducted on 176 hypertension patients, in Astaneh‐e‐Ashrafiyeh, Guilan, Iran, 2018–2019. Methods Data collection tools included demographic characteristics, medical history, the short form of International Physical Activity Questionnaire (IPAQ) and scales related to the HAPA model. The data were analysed using chi‐square, independent t test, one‐way ANOVA, Pearson's correlation coefficient and path analysis on AMOS, version 23.0. Results Action self‐efficacy ( β = 0.59), outcome expectancy ( β = 0.20) and risk perception ( β = 0.18) had a statistically significant effect on intention. Moreover, the path coefficient between intention ( β = 0.35) and coping self‐efficacy ( β = 0.29) with physical activity was statistically significant. The results revealed that HAPA constructs were able to describe 45% of the variance in intention and 31% of the variance in physical activity behaviour. Conclusion The HAPA model is a useful framework for describing the factors affecting physical activity in hypertension patients.

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Motivational, volitional and multiple goal predictors of walking in people with type 2 diabetes

Cited by 12 publications

References 57 publications

Predictors of physical activity among adults with Type 2 diabetes mellitus, Isfahan, 2015: Structural equation modeling approach

Predictors of physical activity among adults with Type 2 diabetes mellitus, Isfahan, 2015: Structural equation modeling approach

Work Me Not Into Temptation: Exploring the Relationship between Work and Healthy Eating in Dieters Using Data from the HILDA Survey

Predicting psychological factors affecting regular physical activity in hypertensive patients: Application of health action process approach model

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