@2024 Afarand., IRAN
ISSN: 2383-2150 Journal of Education and Community Health 2017;4(3):52-58
ISSN: 2383-2150 Journal of Education and Community Health 2017;4(3):52-58
Factors Related to Intention to Perform Physical Activity Based on the Theory of Planned Behavior among High School Female Students in Ahvaz
ARTICLE INFO
Article Type
Original ResearchAuthors
Baji Zahra (1)Shakerinejad Ghodratollah (*)
Tehrani Masoumeh (1)
Hajinajaf Saeedeh (1)
Jarvandi Farzaneh (1)
(*) Department of Health Education Research, Iranian Academic Center for Education Culture and Research [ACECR], Khuzestan Branch, Ahvaz, Iran
(1) Department of Health Education Research, Iranian Academic Center for Education Culture and Research [ACECR], Khuzestan Branch, Khuzestan Branch, Iran
(1) Department of Health Education Research, Iranian Academic Center for Education Culture and Research [ACECR], Khuzestan Branch, Ahvaz, Iran
(1) Department of Health Education Research, Iranian Academic Center for Education Culture and Research [ACECR], Khuzestan Branch, Ahvaz, Iran
(1) Department of Health Education Research, Iranian Academic Center for Education Culture and Research [ACECR], Khuzestan Branch, Ahvaz, Iran
Correspondence
Address: -Phone: -
Fax: -
shakerinejad@yahoo.com
Article History
Received: September 23, 2017Accepted: December 14, 2017
ePublished: December 21, 2017
BRIEF TEXT
Physical activity is one of the most important aspects of health promotion and one of the predictors of death and disability worldwide.
... [1-11]. In the past two decades, physical activity has declined in all age groups, and according to the reports, more than 80% of the teenagers in the world have insufficient physical activity [12]. ... [13]. Theory of Planned Behavior (TPB) is one of the theories of changing behavior, which is used to predict and understand behavior [12] and is in fact one of the most successful perceptual frameworks in physical activity of women [14, 15]. This theory suggests that the most important determinant of behavior is the intention. The intention is the level of motivation and will of an individual to try to do behavior [16]. Behavioral intention is determined by three constructs, including the attitude toward the behavior (positive or negative evaluation of behavioral outcomes), subjective norms (perception of the important individuals’ needs) and perceived behavioral control (perception of control over behavior) [17].
In this study, we aimed to investigate the factors related to intention to perform physical activity based on the theory of planned behavior among high school female students of Ahvaz city, Iran.
This descriptive research is a cross-sectional analytical study.
This study was performed on 163 high school female students randomly selected from two girls' public schools in Ahvaz, Iran, in 2016.
This research is part of an interventional study and its sample size was measured 150 subjects based on the data obtained from previous studies [18] and using the sample size formula in two-group analytical studies by Pococke [19] with a confidence level of 95% and the test power of 80%. 163 individuals were considered for sample size, due to the probable reduction in samples and in order to increase the accuracy of the research. The inclusion criteria included no physical disorder or a medical prohibition to perform physical activity and the willingness of individuals to participate in the research. Unwillingness to continue cooperation and participation in research was considered as the exclusion criterion.
To collect information in this research, a written self-reported questionnaire was used. It was completed individually and separately by students without sharing the information. The questionnaire included demographic information of the participants (age, education level, parents’ education and parents’ occupation) and the constructs of the TPB. Constructs of the TPB included positive attitude toward physical activity (9 questions), subjective norms toward physical activity (6 questions), behavioral control (4 questions) and behavioral intention (4 questions). The data obtained from questionnaires entered into SPSS 23 software. Descriptive statistics, independent t-test, one-way ANOVA and Pearson correlation test were used for statistical analysis and to determine the relationship between intention to do physical activity and the constructs of the TPB. In order to determine the predictive power of the constructs, linear regression test was used at a significant level of less than 0.05.
The mean age of the participants in the study was 13.79±0.89 years and the age range was 12 to 16 years. Based on the results, 37.4% of the students were studying at the eighth grade, 63.2% of their mothers and 62% of their fathers were had diploma and above degrees and 54% had fathers with non-governmental jobs and 89% of the mothers were housewives. Details of students' demographic characteristics are presented in Table 1. According to the results of independent t-test and one way ANOVA, there was no statistically significant difference in the mean of physical activity intention between parents’ education and job (P>0.05). The mean, standard deviation and correlation matrix of the TPB constructs are presented in Table 2. According to the findings, there was a positive and significant correlation between intention to do physical activity and attitudes, subjective norms and perceived behavioral control, among which attitude had the highest correlation with behavioral intention (r=0.6, p<0.001). A significant model was obtained in linear regression model (Enter) to predict physical activity using constructs of the TPB (F=35.18, P<0.001, R2=0.4). Based on the results, attitude (P=0.001, β=0.46) and behavioral control (P=0.03, β=0.15) significantly predicted the intention to perform physical activity. In this model, the structures of the TPB constructs predicted 40% of the variance of intention to perform physical activity (Table 3).
Wang et al. evaluated the application of TPB in predicting children's physical activity and showed that TPB predicts 33% of the variance of intention to perform physical activity [20]. In the Duncan et al. study also attitude and behavioral control predicted 25% of physical activity intention variance [21]. In this study, the attitude was the strongest predictor of physical activity. In the study by Plotnikoff et al., attitude also was the strongest construct of the TPB in predicting the intention to perform activities [22]. ... [23-27]. Some other studies have reported different results from the findings of this study. For example, Mahbubi Ghazaani et al. [28] evaluated the predictive factors for the exclusive intention of breastfeeding in pregnant women by the TPB and reported that perceived behavioral control was the strongest and attitude was the second predictor of exclusive breastfeeding. ... [29, 30].
Designing educational interventions using TPB and paying more attention to the attitude construct as the strongest predictor of behavioral intention are recommended.
The time limit for student participation in research to complete questionnaires was one of the limitations of this research.
We recommend using the TPB and paying more attention to the attitude construct, as the strongest predictor of intention, in designing educational interventions to promote physical activity among female students.
The authors are thankful to the Deputy of Education of the Khuzestan Education Department, District 3 Education Department of Ahvaz, principals, officials and students of the high schools for girls who have fully cooperated in this research.
None declared.
Prior the research, its objectives and stages were explained to the participants and the written informed consent was obtained.
TABLES and CHARTS
Show attach filePhysical activity is one of the most important aspects of health promotion and one of the predictors of death and disability worldwide.
... [1-11]. In the past two decades, physical activity has declined in all age groups, and according to the reports, more than 80% of the teenagers in the world have insufficient physical activity [12]. ... [13]. Theory of Planned Behavior (TPB) is one of the theories of changing behavior, which is used to predict and understand behavior [12] and is in fact one of the most successful perceptual frameworks in physical activity of women [14, 15]. This theory suggests that the most important determinant of behavior is the intention. The intention is the level of motivation and will of an individual to try to do behavior [16]. Behavioral intention is determined by three constructs, including the attitude toward the behavior (positive or negative evaluation of behavioral outcomes), subjective norms (perception of the important individuals’ needs) and perceived behavioral control (perception of control over behavior) [17].
In this study, we aimed to investigate the factors related to intention to perform physical activity based on the theory of planned behavior among high school female students of Ahvaz city, Iran.
This descriptive research is a cross-sectional analytical study.
This study was performed on 163 high school female students randomly selected from two girls' public schools in Ahvaz, Iran, in 2016.
This research is part of an interventional study and its sample size was measured 150 subjects based on the data obtained from previous studies [18] and using the sample size formula in two-group analytical studies by Pococke [19] with a confidence level of 95% and the test power of 80%. 163 individuals were considered for sample size, due to the probable reduction in samples and in order to increase the accuracy of the research. The inclusion criteria included no physical disorder or a medical prohibition to perform physical activity and the willingness of individuals to participate in the research. Unwillingness to continue cooperation and participation in research was considered as the exclusion criterion.
To collect information in this research, a written self-reported questionnaire was used. It was completed individually and separately by students without sharing the information. The questionnaire included demographic information of the participants (age, education level, parents’ education and parents’ occupation) and the constructs of the TPB. Constructs of the TPB included positive attitude toward physical activity (9 questions), subjective norms toward physical activity (6 questions), behavioral control (4 questions) and behavioral intention (4 questions). The data obtained from questionnaires entered into SPSS 23 software. Descriptive statistics, independent t-test, one-way ANOVA and Pearson correlation test were used for statistical analysis and to determine the relationship between intention to do physical activity and the constructs of the TPB. In order to determine the predictive power of the constructs, linear regression test was used at a significant level of less than 0.05.
The mean age of the participants in the study was 13.79±0.89 years and the age range was 12 to 16 years. Based on the results, 37.4% of the students were studying at the eighth grade, 63.2% of their mothers and 62% of their fathers were had diploma and above degrees and 54% had fathers with non-governmental jobs and 89% of the mothers were housewives. Details of students' demographic characteristics are presented in Table 1. According to the results of independent t-test and one way ANOVA, there was no statistically significant difference in the mean of physical activity intention between parents’ education and job (P>0.05). The mean, standard deviation and correlation matrix of the TPB constructs are presented in Table 2. According to the findings, there was a positive and significant correlation between intention to do physical activity and attitudes, subjective norms and perceived behavioral control, among which attitude had the highest correlation with behavioral intention (r=0.6, p<0.001). A significant model was obtained in linear regression model (Enter) to predict physical activity using constructs of the TPB (F=35.18, P<0.001, R2=0.4). Based on the results, attitude (P=0.001, β=0.46) and behavioral control (P=0.03, β=0.15) significantly predicted the intention to perform physical activity. In this model, the structures of the TPB constructs predicted 40% of the variance of intention to perform physical activity (Table 3).
CITIATION LINKS
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[2]Fakhrzadeh H, Djalalinia S, Mirarefin M, Arefirad T, Asayesh H, Safiri S, et al. Prevalence of physical inactivity in Iran: a systematic review. J Cardiovasc Thoracic Res. 2016;8(3):92-7. DOI: 10.15171/jcvtr.2016.20
[3]Geravandi A, Ghofranipour F, Rezaei M, Laghaei Z, Sepahi S. Effect of health education on promotion of physical activity in housewives who refer to health centers of Kermanshah. J Clin Res Paramed Sci. 2014;3(3):205-14. [Persian]
[4]Khodamoradi F, Mozafarsaadati H, Nabavi SH, Hosseini SH. The survey level of physical activity and stage of change among high school. J North Khorasan Univ Med Sci. 2014;6(2):289-95. [Persian]
[5]Musavian AS, Pasha A, Rahebi SM, Roushan ZA, Ghanbari A. Health promoting behaviors among adolescents: a cross-sectional study. Nurs Midwifery Stud. 2014;3(1):1-7. PMID: 25414892
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[7]Gholamnia-Shirvani Z, Ghofranipour F, Gharakhanlou R, Kazemnejad A. Improving and maintaining physical activity and anthropometric indices in females from Tehran: application of the theory of planned behavior. J Educ Community Health. 2016;2(4):13-24. DOI: https://doi.org/10.20286/jech.02043
[8]Pratt M, Perez LG, Goenka S, Brownson RC, Bauman A, Sarmiento OL, et al. Can population levels of physical activity be increased? Global evidence and experience. Prog Cardiovasc Dis. 2015;57(4):356-67. PMID: 25304047 DOI: 10.1016/j.pcad.2014.09.002
[9]Naserpiur F. Effect of educational program based on penders health promotion model on lifestyle relating to nutrition and physical activity among high school girls. [Master Thesis]. Ahvaz: Jundishapur Medical Sciences University; 2015. [Persian]
[10]Sun MC, Kawthur BA. Leisure-time physical activity among university students in Mauritius. Am J Health Res. 2013;1(1):1-8. DOI: 10.11648/j.ajhr.20130101.11
[11]Salahshoori A, Sharifirad G, Hassanzadeh A, Mostafavi F. Study of perceived barriers to physical activity in male and female high school students in Izeh in 2011-2012. J Health Syst Res. 2013;9(10):1128-37. DOI: http://dx.doi.org/10.22122/-.v9i10.1089 [Persian]
[12]AghamolaeiT, Farshidi H, Safari Moradabadi A, Dadipoor S. Effect of interventions based on the theory of planned behavior on promoting physical activity: a systematic review. J Prev Med. 2017;3(4):1-15. [Persian]
[13]Jafarpour K, Arastoo AA, Gholammnia Shirvani Z, Saki O, Araban M. The effect of health education intervention based on the theory of planned behavior to promote physical activity in women's health volunteers of Shushtar health centers. Iran J Obstet Gynecol Infertil. 2016;19(37):62-74. [Persian]
[14]Gholamnia Shirvani Z, Ghofranipour F, Gharakhanlou R, Kazemnejad A. Determinants of physical activity based on the theory of planned behavior in Iranian Military Staff’s Wives: a path analysis. Glob J Health Sci. 2015;7(3):230-9. PMID: 25948459 DOI: 10.5539/gjhs.v7n3p230
[15]McEachan RR, Conner M, Taylor NJ, Lawton RJ. Prospective prediction of health-related behaviours with the theory of planned behavior: a meta-analysis. Health Psychol Rev. 2011;5(2):97-144. DOI: 10.1080/17437199.2010.521684
[16]Shirvani ZG, Ghofranipour F, Gharakhanlou R, Kazemnejad A. Path analysis of physical activity based on the theory of planned behavior in women residing in Tehran's organizational townships. J Behav Sci. 2015;9(2):159-67. [Persian]
[17]Conner M, Sandberg T, Norman P. Using action planning to promote exercise behavior. Ann Behav Med. 2010;40(1):65-76. PMID: 20446124 DOI: 10.1007/s12160-010-9190-8
[18]Solhi M, ZinatMotlag F, Karimzade SK, Taghdisi MH, Jalilian F. Designing and implementing educational program to promote physical activity among students: an application of the theory of planned behavior. Ofogh-E-Danesh. 2010;18(1):45-52. [Persian]
[19]Dashtian M, Eftekhar Ardebili H, Karimzadeh Shirazi K, Shahmoradi M, Azam K. Predicting factors affecting medication adherence and physical activity in patients with type-2 diabetes mellitus based on the theory of planned behavior. J Sch Public Health Instit Public Health Res. 2017;15(2):133146. [Persian]
[20]Wang L, Wang L. Using theory of planned behavior to predict the physical activity of children: probing gender differences. Biomed Res Int. 2015;2015:1-9. PMID: 26649307 DOI: 10.1155/2015/536904
[21]Duncan MJ, Rivis A, Jordan C. Brief report: understanding intention to be physically active and physical activity behaviour in adolescents from a low socio-economic status background: an application of the Theory of Planned Behaviour. J Adolesc. 2012;35(3):761-4. PMID: 21820730 DOI: 10.1016/j.adolescence.2011.07.017
[22]Plotnikoff RC, Lubans DR, Costigan SA, McCargar L. A test of the theory of planned behavior to predict physical activity in an overweight/obese population sample of adolescents from Alberta, Canada. Health Educ Behav. 2013;40(4):415-25. PMID: 22984208 https://doi.org/10.1177/1090198112455642
[23]Boudreau F, Godin G. Using the theory of planned behaviour to predict exercise intention in obese adults. Can J Nurs Res. 2007;39(2):112-25. PMID: 17679588
[24]Psouni S, Chasandra M, Theodorakis Y. Exercise and healthy eating intentions and behaviors among normal weight and overweight/obese adults. Psychology. 2016;7(4):598-611. DOI:10.4236/psych.2016.74062
[25]Hagger MS, Chatzisarantis NL, Biddle SJ. A meta-analytic review of the theories of reasoned action and planned behavior in physical activity: predictive validity and the contribution of additional variables. J Sport Exer Psychol. 2002;24(1):3-32. DOI: 10.1123/jsep.24.1.3
[26]Ghahremani L, Nazari M. Comparing prediction power of exercise intention and behavior based on self-efficacy and theory of planned behavior. Payesh. 2013;12(1):99-107. [Persian]
[27]Ahmad MH, Shahar S, Teng NI, Manaf ZA, Sakian NI, Omar B. Applying theory of planned behavior to predict exercise maintenance in sarcopenic elderly. Clin Interv Aging. 2014;9:1551-61. PMID: 25258524 DOI: 10.2147/CIA.S60462
[28]Mahbubi Ghazaani F, Roozbahani N, Shamsi M. Predictive factors of exclusive breastfeeding intention in pregnant women. Arak Med Univ J. 2015;18(98):68-76. [Persian]
[29]Shalmaii MR, Rakhshani F, Ramezankhani A, Soori H. Effect of education based on the theory of planned behavior on prevention of aggression. Saf Promot Inj Prev. 2016;4(1):39-46. [Persian]
[30]Baghianimoghadam M, Gholianavval M, Karimi M, Kamalikhah T, Roohi MR. Investigating the views of male students on using bicycles based on the theory of planned behavior in Yazd university of medical sciences 2012. Toloo-E-Behdasht. 2014;13(4):83-93. [Persian]
[2]Fakhrzadeh H, Djalalinia S, Mirarefin M, Arefirad T, Asayesh H, Safiri S, et al. Prevalence of physical inactivity in Iran: a systematic review. J Cardiovasc Thoracic Res. 2016;8(3):92-7. DOI: 10.15171/jcvtr.2016.20
[3]Geravandi A, Ghofranipour F, Rezaei M, Laghaei Z, Sepahi S. Effect of health education on promotion of physical activity in housewives who refer to health centers of Kermanshah. J Clin Res Paramed Sci. 2014;3(3):205-14. [Persian]
[4]Khodamoradi F, Mozafarsaadati H, Nabavi SH, Hosseini SH. The survey level of physical activity and stage of change among high school. J North Khorasan Univ Med Sci. 2014;6(2):289-95. [Persian]
[5]Musavian AS, Pasha A, Rahebi SM, Roushan ZA, Ghanbari A. Health promoting behaviors among adolescents: a cross-sectional study. Nurs Midwifery Stud. 2014;3(1):1-7. PMID: 25414892
[6]Saber F, Shanazi H, Sharifrad G. The survey of theory of planned behavior constructs regarding girl student’s physical activity in Naein Payame Noor University in 2012. J Health Syst Res. 2013;9(9):1014-21. [Persian]
[7]Gholamnia-Shirvani Z, Ghofranipour F, Gharakhanlou R, Kazemnejad A. Improving and maintaining physical activity and anthropometric indices in females from Tehran: application of the theory of planned behavior. J Educ Community Health. 2016;2(4):13-24. DOI: https://doi.org/10.20286/jech.02043
[8]Pratt M, Perez LG, Goenka S, Brownson RC, Bauman A, Sarmiento OL, et al. Can population levels of physical activity be increased? Global evidence and experience. Prog Cardiovasc Dis. 2015;57(4):356-67. PMID: 25304047 DOI: 10.1016/j.pcad.2014.09.002
[9]Naserpiur F. Effect of educational program based on penders health promotion model on lifestyle relating to nutrition and physical activity among high school girls. [Master Thesis]. Ahvaz: Jundishapur Medical Sciences University; 2015. [Persian]
[10]Sun MC, Kawthur BA. Leisure-time physical activity among university students in Mauritius. Am J Health Res. 2013;1(1):1-8. DOI: 10.11648/j.ajhr.20130101.11
[11]Salahshoori A, Sharifirad G, Hassanzadeh A, Mostafavi F. Study of perceived barriers to physical activity in male and female high school students in Izeh in 2011-2012. J Health Syst Res. 2013;9(10):1128-37. DOI: http://dx.doi.org/10.22122/-.v9i10.1089 [Persian]
[12]AghamolaeiT, Farshidi H, Safari Moradabadi A, Dadipoor S. Effect of interventions based on the theory of planned behavior on promoting physical activity: a systematic review. J Prev Med. 2017;3(4):1-15. [Persian]
[13]Jafarpour K, Arastoo AA, Gholammnia Shirvani Z, Saki O, Araban M. The effect of health education intervention based on the theory of planned behavior to promote physical activity in women's health volunteers of Shushtar health centers. Iran J Obstet Gynecol Infertil. 2016;19(37):62-74. [Persian]
[14]Gholamnia Shirvani Z, Ghofranipour F, Gharakhanlou R, Kazemnejad A. Determinants of physical activity based on the theory of planned behavior in Iranian Military Staff’s Wives: a path analysis. Glob J Health Sci. 2015;7(3):230-9. PMID: 25948459 DOI: 10.5539/gjhs.v7n3p230
[15]McEachan RR, Conner M, Taylor NJ, Lawton RJ. Prospective prediction of health-related behaviours with the theory of planned behavior: a meta-analysis. Health Psychol Rev. 2011;5(2):97-144. DOI: 10.1080/17437199.2010.521684
[16]Shirvani ZG, Ghofranipour F, Gharakhanlou R, Kazemnejad A. Path analysis of physical activity based on the theory of planned behavior in women residing in Tehran's organizational townships. J Behav Sci. 2015;9(2):159-67. [Persian]
[17]Conner M, Sandberg T, Norman P. Using action planning to promote exercise behavior. Ann Behav Med. 2010;40(1):65-76. PMID: 20446124 DOI: 10.1007/s12160-010-9190-8
[18]Solhi M, ZinatMotlag F, Karimzade SK, Taghdisi MH, Jalilian F. Designing and implementing educational program to promote physical activity among students: an application of the theory of planned behavior. Ofogh-E-Danesh. 2010;18(1):45-52. [Persian]
[19]Dashtian M, Eftekhar Ardebili H, Karimzadeh Shirazi K, Shahmoradi M, Azam K. Predicting factors affecting medication adherence and physical activity in patients with type-2 diabetes mellitus based on the theory of planned behavior. J Sch Public Health Instit Public Health Res. 2017;15(2):133146. [Persian]
[20]Wang L, Wang L. Using theory of planned behavior to predict the physical activity of children: probing gender differences. Biomed Res Int. 2015;2015:1-9. PMID: 26649307 DOI: 10.1155/2015/536904
[21]Duncan MJ, Rivis A, Jordan C. Brief report: understanding intention to be physically active and physical activity behaviour in adolescents from a low socio-economic status background: an application of the Theory of Planned Behaviour. J Adolesc. 2012;35(3):761-4. PMID: 21820730 DOI: 10.1016/j.adolescence.2011.07.017
[22]Plotnikoff RC, Lubans DR, Costigan SA, McCargar L. A test of the theory of planned behavior to predict physical activity in an overweight/obese population sample of adolescents from Alberta, Canada. Health Educ Behav. 2013;40(4):415-25. PMID: 22984208 https://doi.org/10.1177/1090198112455642
[23]Boudreau F, Godin G. Using the theory of planned behaviour to predict exercise intention in obese adults. Can J Nurs Res. 2007;39(2):112-25. PMID: 17679588
[24]Psouni S, Chasandra M, Theodorakis Y. Exercise and healthy eating intentions and behaviors among normal weight and overweight/obese adults. Psychology. 2016;7(4):598-611. DOI:10.4236/psych.2016.74062
[25]Hagger MS, Chatzisarantis NL, Biddle SJ. A meta-analytic review of the theories of reasoned action and planned behavior in physical activity: predictive validity and the contribution of additional variables. J Sport Exer Psychol. 2002;24(1):3-32. DOI: 10.1123/jsep.24.1.3
[26]Ghahremani L, Nazari M. Comparing prediction power of exercise intention and behavior based on self-efficacy and theory of planned behavior. Payesh. 2013;12(1):99-107. [Persian]
[27]Ahmad MH, Shahar S, Teng NI, Manaf ZA, Sakian NI, Omar B. Applying theory of planned behavior to predict exercise maintenance in sarcopenic elderly. Clin Interv Aging. 2014;9:1551-61. PMID: 25258524 DOI: 10.2147/CIA.S60462
[28]Mahbubi Ghazaani F, Roozbahani N, Shamsi M. Predictive factors of exclusive breastfeeding intention in pregnant women. Arak Med Univ J. 2015;18(98):68-76. [Persian]
[29]Shalmaii MR, Rakhshani F, Ramezankhani A, Soori H. Effect of education based on the theory of planned behavior on prevention of aggression. Saf Promot Inj Prev. 2016;4(1):39-46. [Persian]
[30]Baghianimoghadam M, Gholianavval M, Karimi M, Kamalikhah T, Roohi MR. Investigating the views of male students on using bicycles based on the theory of planned behavior in Yazd university of medical sciences 2012. Toloo-E-Behdasht. 2014;13(4):83-93. [Persian]