The psychometric properties of exercise benefits/barriers scale among women

Authors

  • Ziba Taghizadeh PhD of Reproductive Health, Assistant Professor, Faculty Member of Nursing and Midwifery Care Research Center, Nursing and Midwifery School, Tehran University of Medical Sciences, Tehran, Iran

Abstract

Background and objective: Despite the numerous health benefits of regular physical activity (PA), physical inactivity is a major health issue among women. The goal of the current study was to measure the validity and reliability assessment of the exercise benefits/barriers scale among women between the ages of 18 and 65 years. This study was carried out among women residing in Khoramroudi neighborhood in Tehran between December 2013 and February 2014.

Methods: In this descriptive, methodological study, 278 women residing in Khoramroudi neighborhood in Tehran between December 2013 and February 2014 completed three questionnaires: the demographic data form, the Exercise Benefits/Barriers Scale. The construct validity, internal consistency, and stability of the study were measured by confirmatory factor analyses, Cronbach’s alpha, and Spearman Brown correlation coefficient by using SPSS 21 and LISREL 8.80, respectively. 

Results: The confirmatory factor analysis showed the Persian version of EBBS was structured well. The Cronbach´s alpha coefficients for the total scale and its subscales were 0.927, 0.94 and 0.82, respectively. Spearman Brown correlation coefficient also showed good test-retest reliability.

Conclusion: The results of this study verified the reliability and validity of the applied instrument and introduced it as a tool to measure the benefits and barriers of physical activity among Iranian women.

References

Organization WH. Global health risks: mortality and burden of disease attributable to selected major risks:

World Health Organization; 2009.

Dumith SC, Hallal PC, Reis RS, Kohl HW 3rd. Worldwide prevalence of physical inactivity and its

association with human development index in 76 countries. Prev Med. 2011; 53(1-2): 24-8. doi:

1016/j.ypmed.2011.02.017. PMID: 21371494.

Slentz CA, Duscha BD, Johnson JL, Ketchum K, Aiken LB, Samsa GP, et al. Effects of the amount of

exercise on body weight, body composition, and measures of central obesity: STRRIDE—a randomized

controlled study. Arch Intern Med. 2004; 164(1): 31-9. doi: 10.1001/archinte.164.1.31. PMID: 14718319.

Stubbs CO, Lee AJ. The obesity epidemic: both energy intake and physical activity contribute. Med J Aust.

; 181(9): 489-91. PMID: 15516193.

Committee PAGA. Physical activity guidelines advisory committee report, 2008. Washington, DC: US

Department of Health and Human Services. 2008; 2008: A1-H14.

Mokdad AH, Giles WH, Bowman BA, Mensah GA, Ford ES, Smith SM, et al. Changes in health behaviors

among older Americans, 1990 to 2000. Public Health Rep. 2004; 119(3): 356-61. doi:

1016/j.phr.2004.04.015. PMID: 15158115, PMCID: PMC1497641.

Victor JF, Ximenes LB, Almeida PCd. Reliability and validity of the Exercise Benefits/Barriers scale in the

elderly. Acta Paulista de Enfermagem. 2012; 25(SPE1): 48-53. doi: 10.1590/S0103-21002012000800008.

Northcott MC. ‘… So yeah, you do what you can…’: Exploring the barriers to women’s opportunities for

physical activity: Citeseer; 2009. doi: 10.2105/AJPH.2004.048256. PMID: 15798125, PMCID:

PMC1449236.

Berger G, Peerson A. Giving young Emirati women a voice: participatory action research on physical

activity. Health place. 2009; 15(1): 117-24. doi: 10.1016/j.healthplace.2008.03.003. PMID: 18515171.

Caperchione CM, Kolt GS, Tennent R, Mummery WK. Physical activity behaviours of Culturally and

Linguistically Diverse (CALD) women living in Australia: a qualitative study of socio-cultural influences.

BMC Public Health. 2011; 11: 26. doi: 10.1186/1471-2458-11-26. PMID: 21223595, PMCID:

PMC3091537.

Schoenfelder DP, Rubenstein LM. An exercise program to improve fall-related outcomes in elderly nursing

home residents. Appl Nurs Res. 2004; 17(1): 21-31. PMID: 14991552.

Cruciani F, Adami F, Assunção NA, Bergamaschi DP. Conceptual, item, and semantic equivalence of a

Brazilian version of the Physical Activity Checklist Interview (PACI). Cad Saude Publica. 2011; 27(1): 19- 34. PMID: 21340101.

Sechrist KR, Walker SN, Pender NJ. Development and psychometric evaluation of the exercise

benefits/barriers scale. Res Nurs Health. 1987; 10(6): 357-65. PMID: 3423307.

Aghamolaei T, Tavafian SS, Hassani L. Exercise Self-efficacy, Exercise Perceived Benefits and Barriers

among Students in Hormozgan University of Medical Sciences. Iranian Journal of Epidemiology. 2009; 4(3

and 4): 9-15.

Akbari Kamrani AA, Zamani Sani SH, Fathire-Zaie Z, Bashiri M, Ahmadi E. The Psychometric

Characteristics of the Exercise Benefits/Barriers Scale among Iranian Elderly. Iran J Public Health. 2014;

(3): 362-6. PMID: 25988097, PMCID: PMC4419175.

Hyrkäs K, Appelqvist-Schmidlechner K, Oksa L. Validating an instrument for clinical supervision using an

expert panel. Int J Nurs Stud. 2003; 40(6): 619-25. PMID: 12834927.

Bartlett MS. A Note on the Multiplying Factors for Various Chi Square Approximations. Journal of the

Royal Statistical Society. 1954; 296-8.

Burns N, Grove S. The practice of nursing research, conduct, critique, and utilization, WB Saunders.

Philadelphia, Pa. 2001.

Bentler PM, Bonett DG. Significance tests and goodness of fit in the analysis of covariance structures.

Psychological bulletin. 1980; 88(3): 588. doi: 10.1037/0033-2909.88.3.588.

Bentler PM. Comparative fit indexes in structural models. Psychol Bull. 1990; 107(2): 238-46. doi:

1037/0033-2909.107.2.238ax. PMID: 2320703.

Cohen J. Statistical power analysis for the behavior science. Lawrance Eribaum Association. 1988.

Brown SA. Measuring perceived benefits and perceived barriers for physical activity. Am J Health Behav.

; 29(2): 107-16. doi: 10.5993/AJHB.29.2.2. PMID: 15698978.

Published

2022-01-18

Issue

Section

Articles