Psychometric Properties of the Chinese Version of the Hypertension Belief Assessment Tool

Overview

Journal BMC Geriatr

Publisher Biomed Central

Specialty Geriatrics

Date 2024 Apr 25

PMID 38664606

Authors

Xue Yang

Yujin Mei

Yuqing Li

Xiaoyun Zhang

Jiaofeng Gui

Ying Wang

Wenyue Chen

Mingjia Chen

Changjun Liu

Lin Zhang

Affiliations

Soon will be listed here.

Abstract

Background: Hypertension is prevalent in China. Hypertensive patients suffer from many health problems in life. Hypertension is a common chronic disease with long-term and lifelong characteristics. In the long run, the existence of chronic diseases will affect the patient's own health beliefs. However, people's health beliefs about Hypertension are not explicit. Therefore, it is vital to find a suitable instrument to comprehend and improve the health beliefs of hypertensive patients, thus, better control of blood pressure and improvement of patient's quality of life are now crucial issues. This study aimed to translate the Hypertension Belief Assessment Tool (HBAT) into Chinese and examine the psychometric properties of the Chinese version of the Hypertension Belief Assessment Tool in hypertensive patients.

Methods: This is a cross-sectional study. We translated the HBAT into Chinese and tested the reliability and validity of the Chinese version among 325 hypertensive patients.

Results: The Chinese version of the scale contains 21 items. The Exploratory Factor Analysis (EFA) revealed six factors and explained 77.898% of the total variation. A six-factor model eventually showed acceptable fit indices in the Confirmatory Factor Analysis (CFA). With modified Confirmatory Factor Analysis, the fit indices were Chi-square/Degree of Freedom (CMIN/DF) = 2.491, Comparative Fit Index (CFI) = 0.952, Incremental Fit Index (IFI) = 0.952, Root-mean-square Error of Approximation (RMSEA) = 0.068, Tucker Lewis Index (TLI) = 0.941. The HBAT exhibits high internal consistency reliability (0.803), and the scale has good discriminant validity.

Conclusion: The results suggest that the HBAT is a reliable and valid instrument for assessing the beliefs of Chinese hypertensive patients.

References

Yin R, Yin L, Li L, Silva-Nash J, Tan J, Pan Z . Hypertension in China: burdens, guidelines and policy responses: a state-of-the-art review. J Hum Hypertens. 2021; 36(2):126-134. PMC: 8252986. DOI: 10.1038/s41371-021-00570-z. View

Kirag N, Kizilkaya M . Application of the Champion Health Belief Model to determine beliefs and behaviors of Turkish women academicians regarding breast cancer screening: A cross sectional descriptive study. BMC Womens Health. 2019; 19(1):132. PMC: 6836330. DOI: 10.1186/s12905-019-0828-9. View

Chen J, Liao Y, Li Z, Tian Y, Yang S, He C . Determinants of salt-restriction-spoon using behavior in China: application of the health belief model. PLoS One. 2013; 8(12):e83262. PMC: 3869780. DOI: 10.1371/journal.pone.0083262. View

Alavi M, Visentin D, Thapa D, Hunt G, Watson R, Cleary M . Chi-square for model fit in confirmatory factor analysis. J Adv Nurs. 2020; 76(9):2209-2211. DOI: 10.1111/jan.14399. View

Okati-Aliabad H, Ansari-Moghaddam A, Kargar S, Mohammadi M . Prevalence of hypertension and pre-hypertension in the Middle East region: a systematic review & meta-analysis. J Hum Hypertens. 2022; 36(9):794-804. DOI: 10.1038/s41371-021-00647-9. View

Saint Arnault D, Gang M, Woo S . Construct Validity and Reliability of the Beliefs Toward Mental Illness Scale for American, Japanese, and Korean Women. Res Theory Nurs Pract. 2017; 31(4):349-363. DOI: 10.1891/1541-6577.31.4.349. View

Ture R, Damasceno A, Djico M, Lunet N . Prevalence, awareness, treatment, and control of hypertension in Bissau, Western Africa. J Clin Hypertens (Greenwich). 2022; 24(3):358-361. PMC: 8925014. DOI: 10.1111/jch.14443. View

Jones C, Jensen J, Scherr C, Brown N, Christy K, Weaver J . The Health Belief Model as an explanatory framework in communication research: exploring parallel, serial, and moderated mediation. Health Commun. 2014; 30(6):566-76. PMC: 4530978. DOI: 10.1080/10410236.2013.873363. View

Zijlmans E, Tijmstra J, van der Ark L, Sijtsma K . Item-Score Reliability in Empirical-Data Sets and Its Relationship With Other Item Indices. Educ Psychol Meas. 2018; 78(6):998-1020. PMC: 6236637. DOI: 10.1177/0013164417728358. View

10.

Soleymanian A, Niknami S, Hajizadeh E, Shojaeizadeh D, Montazeri A . Development and validation of a health belief model based instrument for measuring factors influencing exercise behaviors to prevent osteoporosis in pre-menopausal women (HOPE). BMC Musculoskelet Disord. 2014; 15:61. PMC: 3996026. DOI: 10.1186/1471-2474-15-61. View

11.

Jones P, Lee J, Phillips L, Zhang X, Jaceldo K . An adaptation of Brislin's translation model for cross-cultural research. Nurs Res. 2001; 50(5):300-4. DOI: 10.1097/00006199-200109000-00008. View

12.

. Worldwide trends in hypertension prevalence and progress in treatment and control from 1990 to 2019: a pooled analysis of 1201 population-representative studies with 104 million participants. Lancet. 2021; 398(10304):957-980. PMC: 8446938. DOI: 10.1016/S0140-6736(21)01330-1. View

13.

Goldmann E, Jacoby R, Finfer E, Appleton N, Parikh N, Roberts E . Positive Health Beliefs and Blood Pressure Reduction in the DESERVE Study. J Am Heart Assoc. 2020; 9(9):e014782. PMC: 7428591. DOI: 10.1161/JAHA.119.014782. View

14.

Esquivel Garzon N, Diaz Heredia L . Validity and Reliability of the Treatment Adherence Questionnaire for Patients with Hypertension. Invest Educ Enferm. 2019; 37(3). PMC: 7871500. DOI: 10.17533/udea.iee.v37n3e09. View

15.

Tsang S, Royse C, Terkawi A . Guidelines for developing, translating, and validating a questionnaire in perioperative and pain medicine. Saudi J Anaesth. 2017; 11(Suppl 1):S80-S89. PMC: 5463570. DOI: 10.4103/sja.SJA_203_17. View

16.

Chor D, Ribeiro A, Carvalho M, Duncan B, Lotufo P, Nobre A . Prevalence, Awareness, Treatment and Influence of Socioeconomic Variables on Control of High Blood Pressure: Results of the ELSA-Brasil Study. PLoS One. 2015; 10(6):e0127382. PMC: 4478044. DOI: 10.1371/journal.pone.0127382. View

17.

Calas L, Subiros M, Ruello M, Hassani Y, Gabet A, Angue M . Hypertension prevalence, awareness, treatment and control in 2019 in the adult population of Mayotte. Eur J Public Health. 2022; 32(3):408-414. PMC: 9159308. DOI: 10.1093/eurpub/ckac015. View

18.

DeVon H, Block M, Moyle-Wright P, Ernst D, Hayden S, Lazzara D . A psychometric toolbox for testing validity and reliability. J Nurs Scholarsh. 2007; 39(2):155-64. DOI: 10.1111/j.1547-5069.2007.00161.x. View

19.

Kartal A, Altug Ozsoy S . Validity and reliability study of the Turkish version of Health Belief Model Scale in diabetic patients. Int J Nurs Stud. 2007; 44(8):1447-58. DOI: 10.1016/j.ijnurstu.2007.06.004. View

20.

Wang Y, Peng X, Nie X, Chen L, Weldon R, Zhang W . Burden of hypertension in China over the past decades: Systematic analysis of prevalence, treatment and control of hypertension. Eur J Prev Cardiol. 2015; 23(8):792-800. DOI: 10.1177/2047487315617105. View