The Factors Predicting Physical Activity Among Vietnamese with Type 2 Diabetes Mellitus in Hanoi, Viet Nam

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Do Thi Kim Thu
Yuwadee Leelukkanaveera
Wananarat Lawang

บทคัดย่อ

This cross-sectional analytic study aimed to explore the level of physical activity, and to predict personal characteristics, perceived susceptibility, perceived severity, perceived benefits, perceived barriers, and perceived self-efficacy on the physical activity of people with type 2 diabetes mellitus in Hanoi, Viet Nam. The study was based on the Health Belief Model1and the findings of a literature review. A stratified random sampling technique was used to select one district hospital in an urban area and the other district hospital in a rural area of Hanoi, Viet Nam. The data were collected from 110 participants in an urban area and 136 participants in a rural area using self-report questionnaires. Stepwise multiple regression analysis revealed that the mean score of physical activity was 2062.20 MET (Metabolic equivalent)-minutes per week (SD = 1168.45, range 0.00 – 5520.00), and it revealed that 11.4% of participants didn’t have enough physical activity. It also indicated that only four variables (occupation of labor, perceived susceptibility, perceived severity, and perceived self-efficacy) were significant predictors of physical activity. These variables accounted for about 20% (R2 = .20, p < .05) of the variability in physical activity. Because too few studies of these factors were conducted in type 2 diabetes mellitus in Viet Nam, further research in this field is necessary to determine if the findings of this study are consistent in this population. This study contributes scientific evidence of predictors of physical activity that can provide the basis for generating effective interventions to increase physical activity in Vietnamese people with type 2 diabetes mellitus, to control blood glucose, and to enable them to maintain their health.

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References

Janz, Nancy K, Becker, HM. “The

Health Belief Model: A Decade Later”.

Health education behavior.11th ed. 1984.

doi:10.1177/109019818401100101.

Shaw JE, Sicree RA, Zimmet PZ. Global

estimates of the prevalence of diabetes

for 2010 and 2030. Diabetes Research

and Clinical Practice. 2010; 87, 4-14.

Lanh NV. The actual state of diabetes

mellitus, pre diabetes in Khermeethnic,

HauGiang province, and examine effect

of intervention. Hau Giang; 2014.

Ministry of Health of Vietnam. Annual

report. [online]. 2007. Avaiable from

http://www.moh.gov.vn/legaldoc/pages/

Directdocument.aspx. (Cited : August

, 2014).

American Diabetes Association. Standard

of medical care in diabetes. Diabetes

Care; 2014.

Binh TV, Hoan LQ. Improving the

qualityof diabetes education in Vietnam – a

community based approach. Diabetes

Voice 2007; 52: 46-48.

Chuang LM, Tsai ST, Huang BY, Tai

TY. The status of diabetes control in

Asia--a cross-sectional survey of 24 317

patients with diabetes mellitus in 1998.

Diabet Med. 2002; 19(12): 978-85.

WHO. The impact of chronic disease

in Australia. [online]. 2009. Available

from http://www.who.int/chp/chronic_

disease_report/australia.pdf. (Cited :

September 17, 2014)

American Diabetes Association. Nutrition

recommendations and intervention for

diabetes. [online]. 2011. Avaiable from:

http://care.diabetesjournals.org/

content/31/Supplement_1/S61.full.

(Cited : September 19, 2014)

Ha BT. The diabetes sistuation in

patients at General hospital in Bac Can

province. (Master thesis, Thai Nguyen

University of Medicine). [online]. 2009.

Avaiable from: http://www.tn.edu/~asb/

theses/2009/. (Cited : October 1, 2014)

Anna M, Petra P, Renate KM, Ulrike

T, Timo H. Barriers to physical activity

in older adult in Germany: a cross

sectional study. International Journal

of Behavioral Nutrition and Physical

Activity 2011; 8(121).

Ashley MF, Devin MM, Michelle AR,

Lawrence CK, Carol RH. Barriers to

physical activity in East Harlem, New

York. Journal of Obesity 2012; doi:

1155/2012/719140.

Glanz, K., Rimer, B. K., Viswanath, K.

th ed.. Health behavior education: theory,

research, and practice.San Francisco:

Jossey-Bass; 2008.

Geoff PL, Wallid EA, John KP. Perceived

exercise benefits and barriers of non-exercising female university students in The United Kingdom. International

Journal of Environmental Research and

Public Health 2010; 7: 784-98.

Ronald CP, Linda T, Kerry SC, Nandini K,

Ronald JS. Predictors of aerobic physical

activity and resistance training among

Canadian adults with type 2 diabetes: An

application of the Protection Motivation

Theory. Psychology of Sport and Exercise

; 10: 320-8.

James E, Joe W, Chadwick C. Organizational

research: Determining appropriate

sample size in survey research.

Information Technology, Learning, and

Performance Journal 2001; 19(1): 43-50.

Sechrist KR, Walker SN, Pender NJ.

Health Promotion Model - Instruments

to Measure HPM Behavioral Determinants:

Exercise Benefits/Barriers Scale

[EBBS] (Adult Version). University of

Michigan; 1987.

WHO. Global physical activity questionnaire.

Gevena, Switzerland: n.d. [online].

Avaiable from: http://www.who.int/chp/

steps. (Cited : on September 20, 2014)

Herrmann SD, Heumann KJ, Der

Ananian CA, Ainsworth BE. Validity and

reliability of the Global Physical Activity

Questionnaire. Measurement in Physical

Education and Exercise Science. 2013;

: 231-235.

Melissa B, Sara W, Marilyn L, Kimberly

B, Rickey EC, Lottie M,Anntronet

Y. Factor associated physical activity

among African-American men and

women. American Journal and Preventive

Medicine 2006; 30(4): 340-6.

Navaporn C, Nualpis I. Exercise behavior

and knowledge among the diabetes

mellitus type 2 patients. J Med Assoc

Thai 2009; 93(5).

Juma A, Fatma A, Hussein S, Bachar A,

Hasratali P, Nicolass N. Physical activity

and reported barriers to activity among

type 2 diabetic patients in the United

Arab Emirates. The review of diabetic

studies 2009; 6(4), 271-8.

Mishalia M, Omer H, Heymann AD. The

importance of measuring self-efficacy in

patients with diabetes.Family practice

; 28: 82-7.

Forsyth LH, Goetsch VL. Perceived threat

of illness and health protective behaviors

in offspring of adults with non-insulindependent

diabetes mellitus. Behavioral

Medicine 199; 23(3): 112-20.

Adam J, & Folds L. Depression, Selfefficacy,

and Adherence in Patients With

Type 2 Diabetes. The Journal for Nurse

Practitioner 2009;10(9): 646-52.

Jame AS, Hudson MA, Campbell MK.

Demographic and psychosocial correlates

of physical activity among African

Americans. Am J Health Behav 2003;

(31): 431.

Daniel M, Messer LC. Perceptions of

diasease severity and barriers to sel-care

predict glycemic control in Aboriginal

persons with type diabetes mellitus.

Chronic Dis Can 2002;23(4): 130-8.