METHODS: This was a cross sectional study conducted between 1 October 2016-30 April 2017 in three primary care clinics in the state of Selangor, Malaysia. All adults aged 18 years and above with hypertension for at least 6 months were recruited with a systematic random sampling of 1:2 ratio. The participants were assisted in the administration of the structured questionnaire, which included socio-demographic information, medical information and the Hypertension Self-Care Profile (HTN SCP) tool. Statistical analysis was done using SPSS version 20.0. Multiple linear regression was performed to determine the determinants for self-care.
RESULTS: The mean age of the participants was 59.5 (SD10.2) years old. There were more women (52.5%) and most were Malays (44.0%) follow by Chinese (34%) and Indians (21%). Majority (84.2%) had secondary or primary school level of education. A third (30.7%) had a family history of hypertension. The mean total HTN-SCP score was 124.2 (SD 22.8) out of 180. The significant determinants that influenced the HTN-SCP scores included being men (B-4.5, P-value0.008), Chinese ethnicity (B-14.7, P-value<0.001), primary level education/no formal school education level (B-15.7, P-value<0.001), secondary level education (B-9.2, P-value<0.001) and family history of hypertension (B 4.4, P-value 0.014).
CONCLUSIONS: The overall hypertension self-care profile among patients in this multi-ethnic country was moderate. Being men, Chinese, lower education level and without family history of hypertension were associated with lower hypertension self-care profile score. Healthcare intervention programmes to address self-care should target this group of patients.
Methods: In 2015, a cross-sectional study was conducted among adults visiting an outpatient clinic in Northeast Malaysia. Face-to-face interviews were conducted using Malay and English versions of the Malaysia Non-Communicable Disease surveillance questionnaire. This instrument captured information about sociodemographic, lifestyle status, and anthropometric data. Blood pressure was measured three times with a sphygmomanometer, the first measurement value was discarded, and an average of blood pressure from the second two readings was recorded for further data analysis. Logistic regression was performed to analyse factors associated with prehypertension.
Result: A total 151 adults participated in the study, and the prevalence of prehypertension was 37.1% (95% confidence interval [CI]: 29.29, 44.69). Factors associated with prehypertension in this study were age (adjusted odds ratio [aOR] = 1.06 95% CI: 1.02, 1.11; p = 0.007), male sex (aOR = 4.44 95% CI: 1.58, 12.44; p = 0.005), and abnormal waist circumference (aOR = 31.65 95% CI: 11.25, 89.02; p