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Effects of Health Education using Short Messaging Service of Cellular Phone

Hyun Kim
Korean Journal of Adult Nursing 2013;25(3):241-249.
Published online: June 18, 2013

Department of Nursing, Gimcheon University, Gimcheon, Korea

Corresponding author: Kim, Hyun Department of Nursing, Gimcheon University, 214 Gimcheon 740-704, Korea. Tel: +82-54-420-4254, Fax: +82-54-420-4492, E-mail: hyunkim@gimcheon.ac.kr
• Received: January 15, 2013   • Accepted: June 24, 2013

© 2013 Korean Society of Adult Nursing

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

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  • Purpose
    The aim of the study was to identify the effects of education from using cellular phones and a short messaging service.
  • Methods
    Collected data included baseline demographics, blood pressure, abdominal circumference, total cholesterol, body mass index and health behavior index (Dietary Practice Guidelines Score, Physical Activity, Drinking frequency, Stress score, Subjective health status, and Action change stage score). Data were collected at public health centers in Chungcheongnam-do from January to December, 2011. Data obtained from Individual health counseling Programs in Chungcheongnam-do. Analysis was divided into health risk group and Disease management group, using a paired t test.
  • Results
    Following the education of using short messaging service of cellular phones Health risk group was a reduction in the systolic blood pressure, diastolic blood pressure, waist circumference. Disease management group was a reduction in the systolic blood pressure and body mass index. In both groups, there were improvement in the Health behavior index; dietary practice guidelines score, physical activity, stress score, subjective health status and action change stage scores.
  • Conclusion
    These results indicated that education using short messaging service of cellular phone for Community was effective in improving health behaviors and status. By applying the results, development of customized teaching messages for stable settlement is required.
  • Key Words: Short Messaging service; Community; Intervention study
Figure 1.
Health one stop service program process.
kjan-25-241f1.jpg
Table 1.
Sociodemographic Characteristics of Participants
Characteristics Health risk group Disease management group
n(%) n(%)
Gender
  Male 27 (27.0) 44 (30.0)
 Female 54 (73.0) 102 (70.0)
Age (year)
  ＜50 41 (55.4) 48 (32.7)
  50~59 21 (28.4) 51 (34.7)
  60~64 12 (16.2) 48 (32.7)
Total 74(100.0) 147(100.0)
Table 2.
Effect of Health One-stop Service Program on Health Behavior Variables
Variables Groups Pre Post t p
M±SD M±SD
DPGS HRG 7.57±1.78 8.33±1.46 -4.30 ＜.001
DMG 7.58±2.08 8.54±1.37 -7.49 ＜.001
Physical Activity HRG 4.63±1.86 5.16±1.87 -2.33 .023
DMG 4.78±2.06 5.18±2.13 -2.41 .017
Drinking Frequency HRG 2.27±1.47 2.31±1.48 -0.42 .671
DMG 2.26±1.47 2.30±1.54 -0.74 .460
Stress Score HRG 3.18±0.71 3.51±0.58 -4.49 ＜.001
DMG 3.21±0.80 3.37±0.68 -2.97 .003
Subjective health status HRG 2.90±0.64 2.61±0.59 4.03 ＜.001
DMG 2.92±0.79 2.67±0.71 4.88 ＜.001
Action change stage HRG 3.97±0.79 4.40±0.70 -5.99 ＜.001
DMG 4.02±0.81 4.42±0.67 -8.55 ＜.001

DPGS=dietary practice guidelines score; HRG=health risk group; DMG=disease management group.

Table 3.
Effect of Health One-stop Service on Health Measurement Variables
Variables Groups Pre Post t p
M±SD M±SD
SBP (mmHg) HRG 116.51±11.32 113.64±9.83 2.62 .011
DMG 120.97±12.64 118.97±12.84 2.15 .033
DBP (mmHg) HRG 75.28±7.74 72.74±7.19 3.49 ＜.001
DMG 76.68±9.50 75.42±7.73 1.85 .066
WC (cm) HRG 82.93±7.20 81.70±7.28 3.49 .001
DMG 84.49±6.98 84.09±7.00 1.71 .090
BMI (kg/m2) HRG 24.21±3.16 24.05±3.18 1.67 .099
DMG 24.65±2.84 24.52±2.83 2.16 .032
TC (mg/dL) HRG 184.93±29.32 189.58±33.18 -0.91 .365
DMG 177.93±31.33 192.61±36.08 -3.57 ＜.001

SBP=systolic blood pressure; DBP=diastolic blood pressure; WC=waist circumference; TC=total cholesterol; HRG=health risk group; BMI=body mass index.

  • Beverly B. G., Timothy M., Michael H., Madsen L., Madlen C., Diana B.. 2002;Effectiveness of telephone support in Increasing physical activity levels in primary care patient. American Journal of Preventive Medicine. 22(3):177-183.
  • Chang S. O., Kim E. J., Kil S. Y., Seomun G. A., Lee S. J.. 2005;Influential variables on intention and action to quit smoking between adolescent smokers and adult smokersbased on the transtheoretical model. Journal of the Korean Academy of Nursing. 35:1410-1419.
  • Bramley D., Riddell T., Whittaker R., Corbett T., Lin R. B., Wills M., et al. 2005;Smoking cessation using mobile phone text messaging is as effective in Maori as non-Maori. The New Zealand Medical Journal. 118(1216):1-10.
  • Faul F., Erdfelder E., Lang A. G., Buchner A.. 2009;Statistical power analyses using G∗ Power 3.1: Tests for correlation and regression analyses. Behavior Research Methods. 41(4):1149-1160.
  • Ferrini R. L., Edelstein S., Barrett-Connor E.. 1994;The association between health beliefs and health behavior change in older adults. Preventive Medicine. 23(1):1-5.
  • Haapala I., Barengo N. C., Biggs S., Surakka L., Manninen P.. 2009;Weight loss by mobile phone: A 1-year effectiveness study. Public Health Nutrition. 12(12):2382-2391.
  • Hurling R., Catt M., DeBoni M., Fairley W., Hurst T., Murray P., et al. 2007;Using Internet and mobile phone technology to deliver an automated physical activity program: Randomized controlled trial. Journal of Medicine Internet Research. 9(2):1-13.
  • Joo N. S., Kim B. T.. 2007;Mobile phone short message service messaging for behaviour modification in a community-based weight control programme in Korea. Journal of Tele-medicine and Telecare. 13:416-420.
  • Kim H., Lee S. G.. 2012;Effects of an individual health counseling program for community. Korean Journal of Health Education Promotion. 29(2):13-21.
  • Kim H. S.. 2003;Fasting blood sugar and adherence to diabetes control recommendation: Impact of education using short messaging service of cellular phone. The Korean Journal of Fundamentals of Nursing. 5(2):13-19.
  • Kim H. S., Park H. J.. 2006;Effects of a nurse short-message service via cellular phones for people with diabetes. The Korean Journal of Fundamentals of Nursing. 13(2):235-241.
  • Kuntsche E., Robert B.. 2009;Short message service technology in alcohol research. Alcohol & Alcoholism. 44(4):423-428.
  • Lee Y. R., Kim M. J.. 2009;A transition of health habits and self-rated health status of women aged in early adulthood. Journal of Korean Academy of Public Health Nursing. 23(2):199-206.
  • Marquez C. E., Figuera W. M., Guillen V., Figueras M., Balana M., Maval J.. 2004;Effectiveness of an intervention to provide information to patients with hypertension as short text messages of reminders sent to their mobile phone. Atencion Primaria. 34(8):399-405.
  • Meloche J.. 2003;Cooking with class: Participation soars with hands-on learning and take-aways. Journal of Nutrition Education Behavior. 35(2):107.
  • Ministry of Health and Welfare. 2005. Handbook of health promotion. Seoul, Korea: Author.
  • Ministry of Health and Welfare. 2009. Handbook of health promotion. Seoul, Korea: Author.
  • Ministry of Health and Welfare. 2011. Guideline of health promotion for community. Seoul, Korea: Author.
  • Nam J. G.. 2000;Health educations strategy for local health department. Journal of Korean Society for Health Education and Promotion. 17(1):171-184.
  • Park S. Y., Yang Y. J., Kim Y. R.. 2011;Effects of nutrition education using a ubiquitous healthcare(u-health) service on metabolic syndrome in male workers. The Korean Journal Nutrition. 44(3):231-242.
  • Oh H. S., Jang M., Hwang M. O., Cho S. W., Paek Y. M., Choi T. I., et al. 2009;Effect of 1 year E-mail nutrition education after face to face encounter at worksite: Changes in cardiovascular risk factors. The Korean Journal Nutrition. 42(6):559-566.
  • Yang J. G.. 2009;Effects of nutrition education program for elderly with hypertension at the public health center: Focused on individual energy intake Unpublished master thesis, Jeonbuk university, Jeonju..
  • Yoon K. H., Kim H. S.. 2008;A short message service by cellular phone in type2. Diabetes Research and Clinical Practice. 79:256-261.

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    • Short-term Effects of a Lifestyle Intervention Program on Eating Behaviors, Physical Activity and Cardiovascular Risks in Korean Adults
      Jiyeon Park, Hyekyeong Kim
      Korean Journal of Health Education and Promotion.2014; 31(4): 37.     CrossRef

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    Effects of Health Education using Short Messaging Service of Cellular Phone
    Korean J Adult Nurs. 2013;25(3):241-249.   Published online June 30, 2013
    DOI: https://doi.org/10.7475/kjan.2013.25.3.241
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    Effects of Health Education using Short Messaging Service of Cellular Phone
    Korean J Adult Nurs. 2013;25(3):241-249.   Published online June 30, 2013
    DOI: https://doi.org/10.7475/kjan.2013.25.3.241
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    Effects of Health Education using Short Messaging Service of Cellular Phone
    Image
    Figure 1. Health one stop service program process.

    Figure 1.

    Effects of Health Education using Short Messaging Service of Cellular Phone

    Sociodemographic Characteristics of Participants

    Characteristics Health risk group Disease management group
    n(%) n(%)
    Gender
      Male 27 (27.0) 44 (30.0)
     Female 54 (73.0) 102 (70.0)
    Age (year)
      ＜50 41 (55.4) 48 (32.7)
      50~59 21 (28.4) 51 (34.7)
      60~64 12 (16.2) 48 (32.7)
    Total 74(100.0) 147(100.0)

    Effect of Health One-stop Service Program on Health Behavior Variables

    Variables Groups Pre Post t p
    M±SD M±SD
    DPGS HRG 7.57±1.78 8.33±1.46 -4.30 ＜.001
    DMG 7.58±2.08 8.54±1.37 -7.49 ＜.001
    Physical Activity HRG 4.63±1.86 5.16±1.87 -2.33 .023
    DMG 4.78±2.06 5.18±2.13 -2.41 .017
    Drinking Frequency HRG 2.27±1.47 2.31±1.48 -0.42 .671
    DMG 2.26±1.47 2.30±1.54 -0.74 .460
    Stress Score HRG 3.18±0.71 3.51±0.58 -4.49 ＜.001
    DMG 3.21±0.80 3.37±0.68 -2.97 .003
    Subjective health status HRG 2.90±0.64 2.61±0.59 4.03 ＜.001
    DMG 2.92±0.79 2.67±0.71 4.88 ＜.001
    Action change stage HRG 3.97±0.79 4.40±0.70 -5.99 ＜.001
    DMG 4.02±0.81 4.42±0.67 -8.55 ＜.001

    DPGS=dietary practice guidelines score; HRG=health risk group; DMG=disease management group.

    Effect of Health One-stop Service on Health Measurement Variables

    Variables Groups Pre Post t p
    M±SD M±SD
    SBP (mmHg) HRG 116.51±11.32 113.64±9.83 2.62 .011
    DMG 120.97±12.64 118.97±12.84 2.15 .033
    DBP (mmHg) HRG 75.28±7.74 72.74±7.19 3.49 ＜.001
    DMG 76.68±9.50 75.42±7.73 1.85 .066
    WC (cm) HRG 82.93±7.20 81.70±7.28 3.49 .001
    DMG 84.49±6.98 84.09±7.00 1.71 .090
    BMI (kg/m2) HRG 24.21±3.16 24.05±3.18 1.67 .099
    DMG 24.65±2.84 24.52±2.83 2.16 .032
    TC (mg/dL) HRG 184.93±29.32 189.58±33.18 -0.91 .365
    DMG 177.93±31.33 192.61±36.08 -3.57 ＜.001

    SBP=systolic blood pressure; DBP=diastolic blood pressure; WC=waist circumference; TC=total cholesterol; HRG=health risk group; BMI=body mass index.
    Table 1. Sociodemographic Characteristics of Participants

    Table 2. Effect of Health One-stop Service Program on Health Behavior Variables

    DPGS=dietary practice guidelines score; HRG=health risk group; DMG=disease management group.

    Table 3. Effect of Health One-stop Service on Health Measurement Variables

    SBP=systolic blood pressure; DBP=diastolic blood pressure; WC=waist circumference; TC=total cholesterol; HRG=health risk group; BMI=body mass index.

    Table 1.

    Table 2.

    Table 3.

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