Volume 21, Issue 1 (April 2023)                   Nursing and Midwifery Journal 2023, 21(1): 66-77 | Back to browse issues page

XML Persian Abstract Print

Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

URL: http://unmf.umsu.ac.ir/article-1-4702-en.html
1- Assistant Professor, Reproductive Health, Urmia University of Medical Sciences, Urmia, Iran
2- Associate Professor, Medical Informatics, Urmia University of Medical Sciences, Urmia, Iran
3- Assistant Professor, Epidemiology, Urmia University of Medical Sciences, Urmia, Iran
4- Master's Degree student, consultation in midwifery, Urmia University of Medical Sciences, Urmia, Iran (Corresponding Author) , Ebrahimi.sayeh@umsu.ac.ir
Abstract:   (299 Views)
Background & Aim: Overweight and obesity in women of reproductive age cause chronic diseases, fertility problems, adverse consequences of pregnancy, and mental diseases. Among the inappropriate behaviors that affect obesity are fast food consumption and growing sedentary lifestyle. This study aimed to determine the effect of educational and counseling intervention through smartphone applications on awareness of behaviors related to lifestyle and fast food consumption in the women of reproductive age with high body mass index.
Materials & Methods: In this experimental study, 106 women of reproductive age covered by comprehensive health service centers were selected by random sampling and assigned into intervention and control groups. The tools used in this research were a researcher-made questionnaire that included demographic information, a questionnaire of awareness about sedentary behaviors, and prepared foods. The educational intervention was carried out in the intervention group using the application. The control group received routine training from comprehensive health service centers. Three months after the intervention, the questionnaires were completed in both groups. Data analysis was done with SPSS ver. 20.0 software at a significance level of P<0.05
Results: The study results showed that there was a significant difference between the mean scores of awareness of fast food consumption (P<0.001) and sedentary behaviors (P<0.001) before and three months after the intervention among the two groups. However, there was no significant difference in weight before and three months after the intervention (P>0.05).
Conclusion: Educational and counseling programs with applications can be used to improve awareness about the symptoms related to sedentary and consumption of fast foods.
Full-Text [PDF 477 kb]   (194 Downloads)    
Type of Study: Research | Subject: مامایی

1. Biswas A, Oh PI, Faulkner GE, Bajaj RR, Silver MA, Mitchell MS, et al. Sedentary time and its association with risk for disease incidence, mortality, and hospitalization in adults: a systematic review and meta-analysis. Ann Intern Med 2015;162(2):123-32. [DOI:10.7326/M14-1651] [PMID]
2. Lee I-M, Shiroma EJ, Lobelo F, Puska P, Blair SN, Katzmarzyk PT, et al. Effect of physical inactivity on major non-communicable diseases worldwide: an analysis of burden of disease and life expectancy. Lancet 2012;380(9838):219-29. [DOI:10.1016/S0140-6736(12)61031-9] [PMID]
3. Scheers T, Philippaerts R, Lefevre J. Patterns of physical activity and sedentary behavior in normal-weight, overweight and obese adults, as measured with a portable armband device and an electronic diary. Clin Nutr 2012;31(5):756-64. [DOI:10.1016/j.clnu.2012.04.011] [PMID]
4. Katzmarzyk PT, Church TS, Craig CL, Bouchard C. Sitting time and mortality from all causes, cardiovascular disease, and cancer. Med Sci Sports Exerc 2009;41(5):998-1005. [DOI:10.1249/MSS.0b013e3181930355] [PMID]
5. Catalano PM. Management of obesity in pregnancy. Obstetr Gynecol 2007;109(2):419-33. [DOI:10.1097/01.AOG.0000253311.44696.85] [PMID]
6. Popkin BM, Adair LS, Ng SW. Global nutrition transition and the pandemic of obesity in developing countries. Nutr Rev 2012;70(1):3-21. [DOI:10.1111/j.1753-4887.2011.00456.x] [PMID] [PMCID]
7. Al-Nuaim AA, Al-Nakeeb Y, Lyons M, Al-Hazzaa HM, Nevill A, Collins P, et al. The prevalence of physical activity and sedentary behaviours relative to obesity among adolescents from Al-Ahsa, Saudi Arabia: rural versus urban variations. J Nutr Metabol 2012;2012. [DOI:10.1155/2012/417589] [PMID] [PMCID]
8. Garcia G, Sunil TS, Hinojosa P. The fast food and obesity link: consumption patterns and severity of obesity. Obes Surg 2012;22(5):810-8. [DOI:10.1007/s11695-012-0601-8] [PMID]
9. Duffey KJ, Gordon-Larsen P, Jacobs Jr DR, Williams OD, Popkin BM. Differential associations of fast food and restaurant food consumption with 3-y change in body mass index: the Coronary Artery Risk Development in Young Adults Study. Am J Clin Nutr 2007;85(1):201-8. [DOI:10.1093/ajcn/85.1.201] [PMID]
10. Rudolph TK, Ruempler K, Schwedhelm E, Tan-Andresen J, Riederer U, Böger RH, et al. Acute effects of various fast-food meals on vascular function and cardiovascular disease risk markers: the Hamburg Burger Trial. Am J Clin Nutr 2007;86(2):334-40. [DOI:10.1093/ajcn/86.2.334] [PMID]
11. Feeley A, Pettifor JM, Norris SA. Fast-food consumption among 17-year-olds in the Birth to Twenty cohort. South Afr J Clin Nutr 2009;22(3). [DOI:10.1080/16070658.2009.11734232]
12. Elinder LS. Obesity, hunger, and agriculture: the damaging role of subsidies. Bmj 2005;331(7528):1333-6. [DOI:10.1136/bmj.331.7528.1333] [PMID] [PMCID]
13. Dumanovsky T, Huang CY, Nonas CA, Matte TD, Bassett MT, Silver LD. Changes in energy content of lunchtime purchases from fast food restaurants after introduction of calorie labelling: cross sectional customer surveys. Br Med J 2011;343:d4464. [DOI:10.1136/bmj.d4464] [PMID] [PMCID]
14. Nazari B, Asgary S, Sarrafzadegan N, Saberi S, Azadbakht L, Esmaillzadeh A. Evaluation of Types and Amounts of Fatty Acid Content in some most Consumed Iranian Fast Foods. J Isfahan Med Sch 2009;27(99). [Google Scholar]
15. Rasouli A, Tavafian S. The Effect of Integrated Health Education Program on Knowledge, Attitude and Nutrition Function of Female Students of Middle Schools in Bojnourd. J N Khorasan Univ Med Sci 2010;2(2):73-7. [DOI:10.29252/jnkums.]
16. Jorvand R, Karami B, Panahi R. The effect of healthy nutrition education on the behavior of health volunteers in Ilam Province in terms of consuming fast food. J Health Field 2020;8(2):10-6. [URL]
17. Albarran NB, Ballesteros MN, Morales GG, Ortega MI. Dietary behavior and type 2 diabetes care. Patient Edu Counsel 2006;61(2):191-9. [DOI:10.1016/j.pec.2005.03.008] [PMID]
18. Nouhi E. Evaluation of patients in prevention of inactivity after surgery in surgical wards of Shiraz Namazi hospital, 2013. Nurs Midwifery J 2017;15(2):139-46. [Google Scholar]
19. Sommers MS. The shattering consequences of CPR: How to assess and prevent complications. Nursing 1992;22(7):34-42. [DOI:10.1097/00152193-199207000-00013] [PMID]
20. Kärki A, Simonen R, Mälkiä E, Selfe J. Postoperative education concerning the use of the upper limb, and exercise and treatment of the upper limb: cross-sectional survey of 105 breast cancer patients. Supp Care Cancer 2004;12(5):347-54. [DOI:10.1007/s00520-004-0612-7] [PMID]
21. Mahmoudi R, Mousavi J. Review of literature was conducted in Berlin about the effects of bed rest on the musculoskeletal system of the lower extreme ties and trunk. J Modern Rehabil Fac Physiotherapy Tehran Univ Med Sci 2011;5(3):37-44. [URL]
22. Omidvar N RA, Paknahad Z. 1995. Tabriz Cultural and Publishing Institute Food intake assessment guide:30.
23. HH. A Textbook of Health Education. 2nd ed. Tehran: Tehran University, 1385;19-36.
24. Brhmndpvr F A, M.. A Textbook of instructions for media selection and training methods. Art Institute Brasa. Brasa Publications, Tehran: 1391. [URL]
25. Kay M, Santos J, Takane M. mHealth: New horizons for health through mobile technologies. World Health Organization 2011;64(7):66-71. [Google Scholar]
26. Free C, Phillips G, Watson L, Galli L, Felix L, Edwards P, et al. The effectiveness of mobile-health technologies to improve health care service delivery processes: a systematic review and meta-analysis. PLoS Med 2013;10(1):e1001363. [DOI:10.1371/journal.pmed.1001363] [PMID] [PMCID]
27. Compernolle S, Cardon G, van der Ploeg HP, Van Nassau F, De Bourdeaudhuij I, Jelsma JJ, et al. Engagement, acceptability, usability, and preliminary efficacy of a self-monitoring mobile health intervention to reduce sedentary behavior in Belgian older adults: mixed methods study. JMIR mHealth and uHealth 2020;8(10):e18653. [DOI:10.2196/18653] [PMID] [PMCID]
28. Gilliland J, Sadler R, Clark A, O'Connor C, Milczarek M, Doherty S. Using a smartphone application to promote healthy dietary behaviours and local food consumption. BioMed Res Int 2015;2015. [DOI:10.1155/2015/841368] [PMID] [PMCID]
29. Eime RM, Young JA, Harvey JT, Charity MJ, Payne WR. A systematic review of the psychological and social benefits of participation in sport for adults: informing development of a conceptual model of health through sport. Int J Behav Nutr Phys Act 2013;10(1):135. https://doi.org/10.1186/1479-5868-10-135 [DOI:10.1186/1479-5868-10-98] [PMID] [PMCID]
30. Wallace LS, Dhingra LK. A systematic review of smartphone applications for chronic pain available for download in the United States. J Opioid Manag 2014;10(1):63. [DOI:10.5055/jom.2014.0193] [PMID]
31. Varnfield M, Karunanithi M, Lee C-K, Honeyman E, Arnold D, Ding H, et al. Smartphone-based home care model improved use of cardiac rehabilitation in postmyocardial infarction patients: results from a randomised controlled trial. Heart 2014;100(22):1770-9. [DOI:10.1136/heartjnl-2014-305783] [PMID]
32. Arrogi A, Bogaerts A, Seghers J, Devloo K, Vanden Abeele V, Geurts L, et al. Evaluation of stAPP: a smartphone-based intervention to reduce prolonged sitting among Belgian adults. Health Promot Int 2019;34(1):16-27. [DOI:10.1093/heapro/dax046] [PMID]
33. Compernolle S, Cerin E, Barnett A, Zhang CJ, Van Cauwenberg J, Van Dyck D. The role of socio-demographic factors and physical functioning in the intra-and interpersonal variability of older adults' sedentary time: an observational two-country study. BMC Geriatr 2022;22(1):1-14. [DOI:10.1186/s12877-022-03186-1] [PMID] [PMCID]
34. Akinwusi AT, Odelola OJ. Impact of health education on awareness of sedentary lifestyle as predisposing factor to cardiovascular diseases among secondary school principals in zone 4 Nigeria. Univ J Pub Health 2018;6(1):1-6. [DOI:10.13189/ujph.2018.060101]
35. Manggabarani S, Said I, Hadi AJ, Saragih R, Cristandy M, Januariana NE. The effectivity of peer education module on knowledge, attitude, and fast food consumption in adolescents. J Health Promot Behav 2020;5(1):35-42. [DOI:10.26911/thejhpb.2020.05.01.05]
36. Dumitrescu AL, Wagle M, Dogaru BC, Manolescu B. Modeling the theory of planned behavior for intention to improve oral health behaviors: the impact of attitudes, knowledge, and current behavior. J Oral Sci 2011;53(3):369-77. [DOI:10.2334/josnusd.53.369] [PMID]
37. Ratcliffe MM, Merrigan KA, Rogers BL, Goldberg JP. The effects of school garden experiences on middle school-aged students' knowledge, attitudes, and behaviors associated with vegetable consumption. Health Promot Pract 2011;12(1):36-43. [DOI:10.1177/1524839909349182] [PMID]
38. Naghibi A, Alizadeh M, Faghrzadeh H, Sharifi F, Rezaei Rad M, Yosefi R, et al. Efficacy of the two educational methods: Traditional and electronic techniques in training of nutritional aspect to healthy life style in elderly. Iranian J Diabet Metabol 2014;13(1):9-20. [Google Scholar]
39. Mirkarimi K, Bagheri D, Honarvar M, Kabir M, Ozouni-Davaji R, Eri M. Effective factors on fast food consumption among high-school students based on planned behavior theory. J Gorgan Univ Med Sci 2017;18(4):88-93. [Google Scholar]
40. Amini N, Shojaeezadeh D, Saffari M. The study of the effect of e-education on physical activity and body mass index of female employees. J Sch Pub Health Instit Pub Health Res 2014;11(3):95-106. [Google Scholar]
41. Chen J-L, Guedes CM, Lung AE. Smartphone-based healthy weight management intervention for Chinese American adolescents: Short-term efficacy and factors associated with decreased weight. J Adoles Health 2019;64(4):443-9. [DOI:10.1016/j.jadohealth.2018.08.022] [PMID]
42. Khalil A, Abdallah S. Harnessing social dynamics through persuasive technology to promote healthier lifestyle. Comput Hum Behav 2013;29(6):2674-81. [DOI:10.1016/j.chb.2013.07.008]

Add your comments about this article : Your username or Email:

Send email to the article author

Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

© 2023 CC BY-NC 4.0 | Nursing And Midwifery Journal

Designed & Developed by : Yektaweb