The telephone survey of 2,526 hypertensive subjects showed 94% of the respondents were aware of the importance in controlling hypertension. Among these 504 were not on anti-hypertensive medication while the majority of 2,022 were currently on anti-hypertensive medication. Of those who were not on medication, 80% (n = 403) were found non-hypertensive on follow-up. The remaining 20% (n = 101) were confirmed hypertensive and were offered medication. However, 38 subjects refused to take medication and 63 subjects complied with medication but subsequently gave up. The main reasons for giving up medication included lack of motivation (38%), doctors' advice (20%), side effects (19%) and concern of side effects (10%). Of 2,022 hypertensive respondents who were currently on medication, almost half (44%, n = 890) required a change of medication due to side effects (40%, n = 356) or the blood pressure not controlled with the previous medication (33%, n = 294). Despite the change in medication, 42% (n = 150) still continued to suffer from some form of side effects. The information obtained from this survey suggested it is important to recommend some strategies to improve patient compliance. These strategies comprise of motivating the patient, improving medication with less side effects, improving potency and efficiency of medication, and reduction of cost in medication. In addition, convenient blood pressure monitoring such as home blood pressure monitoring is also encouraged.
The paper presents the results of a health screening programme conducted in 10 major centers in Malaysia--Kuala Lumpur, Penang, Ipoh, Johor Bahru, Alor Star, Kuala Terengganu, Malacca, Kota Bahru, Kuching and Kota Kinabalu during the National Heart Weeks, 1995-1997. There were 6,858 participants of both sexes aged between 6 years to 81 years old. The parameters involved in the screening programme were body mass index, blood pressure, heart rate, cholesterol and glucose. The following are the results of the study:- 1. The mean and standard deviation for the body mass index (BMI), systolic blood pressure (SBP), diastolic blood pressure (DBP), heart rate (HR), total cholesterol (TC) and non fasting (random) blood glucose (GL) of the volunteers studied were 24.3 +/- 4.0 kg/m2, 128.3 +/- 21.1 mmHg, 79.6 +/- 11.9 mmHg, 77.2 +/- 12.1 bpm, 5.33 +/- 1.37 mmol/l and 5.11 +/- 1.97 mmol/l respectively. 2. There was a rising trend for BMI, SBP, DBP, TC and GL with age. The HR was higher in the younger age group of those below 20 years. Males tended to have higher mean values than females except for HR which was similar in both sexes. 3. The Malays, Chinese and Indians seemed to have closely similar mean values for SBP, DBP and HR but the Indians possessed the highest BMI (25.62 +/- 3.90 kg/m2), TC (5.61 +/- 1.48 mmol/l) and GL (5.41 +/- 2.43 mmol/l) among the three major ethnic groups. While the Ibans had highest TC (6.07 + 1.09 mmol/l), their GL level was the lowest (4.76 +/- 1.15 mmol/l). The Kadazans had the lowest TC level (4.94 +/- 1.39 mmol/l) among all the ethnic groups. 4. Among the participants screened, 31.9% were overweight (BMI > or = 25), 7.6% were obese (BMI > or = 30); 26.8% had raised SBP (> or = 140 mmHg) and 19.3% had raised DBP (> or = 90 mmHg); 13.6% of the participants had increased HR (> or = 90 bpm), 22% had raised TC (> or = 6.20 mmol/l) and 2% had raised GL (> or = 11.00 mmol/l). There was a higher prevalence for abnormal values with increasing age until between the ages of 60 or 70 years, when the values began to fall. 5. Age was positively correlated with SBP (r = 0.41***, df = 4351), DBP (r = 0.27***, df = 4351), TC (r = 0.22***, df = 3303) and GL (r = 0.16***, df = 2442) but negatively correlated with HR (r = -0.13***, df = 4351). The BMI was positively correlated with SBP (r = 0.29***, df = 2769), DBP (r = 0.31***, df = 2769), TC (r = 0.16***, df = 2137) and GL (r = 0.11**, df = 1637) but there was no correlation with HR (r = 0.03NS, df = 2771). The SBP and DBP were highly correlated with each other (r = 0.75***, df = 4351) and they also showed highly significant positive correlation (r = 0.08***-0.13***, df = 2441-3301) with TC and GL. TC was positively correlated with GL (r = 0.05* df = 2319) but only at the 5% probability level.