Construct validity and reliability of the Brazilian version of Hypertension Knowledge-Level Scale

Hereibi, Mireille Janczyk; Arthur, Juliana Perez; Mantovani, Maria de Fátima; Mattei, Ângela Taís; Viante, Wendy Julia Mariano; Bortolato-Major, Carina

doi:10.1590/1983-1447.2021.20190429

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Original Article • Rev. Gaúcha Enferm. 42 • 2021 • https://doi.org/10.1590/1983-1447.2021.20190429 copy

Construct validity and reliability of the Brazilian version of Hypertension Knowledge-Level Scale

Validación de construto y confiabilidad de la versión brasileña de Hypertension Knowledge-Level Scale

Authorship SCIMAGO INSTITUTIONS RANKINGS

ABSTRACT

Objective:

To validate the construct and test the reliability of the Brazilian version of Hypertension Knowledge-Level Scale.

Methods:

Methodological research with 220 participants in a primary health care unit from Curitiba, Paraná. The data were collected with a social demographic questionnaire and the Brazilian version of the scale. The construct validity and reliability were assessed using Cronbach’s Alpha, Pearson’s Correlation and Analysis of Variance. The discriminant validity was verified comparing groups of people with hypertension and without, using T test.

Results:

Cronbach’s Alpha was 0.74. The groups comparison showed that people with hypertension had better results (p<0,001). Pearson’s Correlation showed that the questions measure different aspects of the same construct, justifying its organization in subdimensions.

Conclusion:

The Brazilian version of Hypertension Knowledge-Level Scale is a reliable instrument, which had its construct and criterion validated to measure knowledge about hypertension among Brazilian people. It can help health professionals with planning educative actions.

Keywords:
Validation study; Surveys and questionnaires; Hypertension; Knowledge

HK-LS Subdimensions	Without arterial hypertension (n=103)	With rterial hypertension (n=117)	p-value*
HK-LS Subdimensions	(Avg±SD)	(Avg±SD)	p-value*
Definition	1.29 ±0.73	1.58±0.66	0.001
Medical treatment	3.32±0.92	3.37±0.73	0.329
Medication adherence	3.33±0.96	2.65±1.24	<0.001
Lifestyle	4.64±0.75	4.82±0.52	0.021
Diet	1.32±0.87	1.58±0.65	0.009
Complications	3.97±1.12	4.82±0.48	<0.001

Scale items	Average	Variance	Resulting Cronbach's Alpha
1) High systolic (maximum) or diastolic (minimum) blood pressure indicates an increase in blood pressure.	31.88	18.30	0.74
2) Elevated (minimum) diastolic blood pressure also indicates an increase in blood pressure.	31.67	17.64	0.73
3) High blood pressure is caused by aging, so it does not need treatment.	31.29	18.89	0.73
4) If the medication for high blood pressure can control blood pressure, there is no need for a change in lifestyle.	31.48	18.52	0.73
5) If people with high blood pressure change their lifestyles, there is no need for treatment.	31.48	18.56	0.73
6) People with high blood pressure should take their medication in the way they consider most appropriate.	31.50	19.10	0.73
7) Medication for high blood pressure should be taken daily.	32.18	19.33	0.73
8) People with high blood pressure should take their medication only when they feel bad.	31.30	19.21	0.73
9) People with high blood pressure should take their medication for the rest of their lives.	31.91	17.66	0.72
10) For people with high blood pressure, frying is the best way to prepare food.	31.27	19.48	0.73
11) For people with high blood pressure, cooking only in water or grilling are the best ways to prepare food.	32.13	18.45	0.72
12) People with high blood pressure can eat food without controlling the amount of salt as long as they take their medication every day.	31.34	19.51	0.73
13) People with high blood pressure should eat fruits and vegetables frequently.	32.18	18.95	0.72
14) he best type of meat for people with high blood pressure is red meat.	31.17	17.63	0.71
15) The best type of meat for people with high blood pressure is white meat.	31.87	16.79	0.71
16) People with high blood pressure should not smoke.	32.19	19.35	0.73
17) People with high blood pressure can drink alcohol at will.	31.28	20.00	0.74
18) If high blood pressure is not treated it can cause stroke/cerebrovascular accident (CVA).	32.19	19.55	0.73
19) If high blood pressure is not treated it can cause a heart attack/infarction	32.23	19.71	0.73
20) If high blood pressure is not treated it can cause early death/anticipate death.	32.17	18.76	0.72
21) If high blood pressure is not treated it can cause the kidneys to stop working.	31.66	15.69	0.70
22) If high blood pressure is not treated it can cause vision problems.	31.89	17.22	0.72

Subdimension	Cronbach's alpha coefficient
Definition	0.52
Medical treatment	0.29
Medication adherence	0.94
Lifestyle	0.84
Diet	0.92
Complications	0.91

Analysis of Variance	Total sum of squares	Quadratic mean	F Test	p-value
Among participants	201.148	0.918
Among the items	653.634	31.125	127.969	<0.01*
Residual	1118.593	0.243
Total	1973.375

	1	2	3	4	5	6	7	8	9	10	11	12	13	14	15	16	17	18	19	20	21	22
1	1.000	0.356	0.054	0.052	-0.060	-0.043	0.067	0.019	0.079	0.038	0.057	-0.100	-0.032	0.070	0.176	0.096	0.007	0.025	-0.056	0.086	0.164	0.142
2		1.000	0.020	0.086	0.120	0.030	0.214	0.073	0.079	0.092	0.118	0.058	0.041	0.020	0.109	0.140	-0.015	-0.047	-0.025	0.122	0.163	0.174
3			1.000	0.221	0.193	0.070	0.050	0.202	0.152	0.307	0.070	0.245	0.129	0.202	0.147	0.137	0.096	0.050	0.009	0.017	0.089	0.026
4				1.000	0.270	0.254	0.011	0.224	0.122	0.056	0.104	0.190	0.040	0.088	0.116	0.078	0.030	0.144	0.137	0.002	0.214	0.120
5					1.000	0.279	0.066	0.190	0.161	0.053	0.161	0.083	0.181	0.173	0.171	0.026	-0.018	0.224	0.218	0.092	0.057	-0.031
6						1.000	0.055	0.164	0.070	0.133	-0.033	0.152	0.026	0.249	0.129	-0.056	0.029	0.006	-0.040	0.011	0.137	0.105
7							1.000	-0.140	0.262	-0.081	0.237	0.099	0.155	0.021	0.005	-0.038	0.184	-0.042	-0.024	0.253	0.216	0.229
8								1.000	0.120	0.175	0.168	0.119	0.105	0.182	0.110	-0.055	0.051	0.119	0.085	0.067	0.162	0.130
9									1.000	0.041	0.141	-0.044	0.165	0.157	0.185	-0.009	0.113	0.197	0.253	0.306	0.318	0.250
10										1.000	0.164	0.249	0.144	0.275	0.180	0.154	0.153	-0.087	-0.146	0.017	0.016	-0.047
11											1.000	-0.017	0.347	0.266	0.322	0.327	-0.181	0.117	0.124	0.239	0.240	0.234
12												1.000	0.126	0.125	0.062	0.126	0.241	-0.166	-0.101	-0.012	0.101	0.058
13													1.000	0.230	0.292	0.116	0.029	0.085	0.040	0.251	0.266	0.039
14														1.000	0.540	0.163	0.019	-0.000	0.101	0.153	0.248	0.212
15															1.000	0.268	-0.054	-0.058	0.062	0.140	0.268	0.177
16																1.000	-0.119	-0.035	-0.020	-0.038	0.131	0.138
17																	1.000	0.028	0.016	0.156	0.014	-0.094
18																		1.000	0.351	0.387	0.263	0.048
19																			1.000	0.270	0.182	0.193
20																				1.000	0.343	0.220
21																					1.000	0.510
22																						1.000

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[1] Corresponding author:
Mireille Janczyk Hereibi Email: mireille.jh@gmail.com