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©The Author(s) 2020.
World J Meta-Anal. Aug 28, 2020; 8(4): 320-344
Published online Aug 28, 2020. doi: 10.13105/wjma.v8.i4.320
Published online Aug 28, 2020. doi: 10.13105/wjma.v8.i4.320
Table 1 Prevalence, awareness and control of hypertension in Malaysia
Ref. | Sample size, n | Prevalence of hypertension, % | Prevalence of awareness, % | Prevalence of control, % | Quality of article |
Abdul-Razak et al[16], 2016 | 11288 | 47.9 | 52.5 | 15.9 | High |
Jinam et al[17], 2008 | 213 | 40.4 | NA | NA | High |
Akter et al[18], 2010 | 219 | 35.6 | NA | NA | High |
Amiri et al[19], 2014 | 1096 | 39.3 | NA | NA | High |
Amplavanar et al[20], 2010 | 3765 | 34.2 | NA | NA | High |
Aniza et al[21], 2015 | 1107 | 24.0 | NA | NA | High |
Aniza et al[22], 2016 | 1489 | 39.5 | NA | NA | High |
Annamalai et al[23], 2011 | 903 | 26.9 | 39.5 | 15.7 | High |
Azuwani et al[24], 2013 | 138 | 42.0 | NA | NA | High |
Tan et al[25], 2008 | 109 | 33.0 | NA | NA | High |
Chang et al[26], 2012 | 260 | 13.9 | NA | NA | High |
Cheah et al[27], 2015 | 218 | 7.3 | NA | NA | High |
Chee et al[28], 2002 | 968 | 1.8 | NA | NA | High |
Chin et al[29], 2009 | 1417 | 52.4 | NA | NA | High |
Chow et al[30], 2013 | 11324 | 47.0 | 48.3 | 12.8 | High |
Chua et al[31], 2017 | 482 | 25.5 | NA | NA | High |
Gan et al[32], 1993 | 648 | 16.2 | NA | NA | High |
Ghazi et al[33], 2017 | 410 | 10.0 | 41.5 | NA | Low |
Goh et al[34], 2013 | 1621 | 22.1 | NA | NA | High |
Hasnah et al[35], 2012 | 125 | 34.4 | NA | NA | High |
Hazmi et al[36], 2015 | 308 | 14.3 | NA | NA | High |
Ministry of Health Malaysia[37], 2015 | 23845 | 30.3 | NA | NA | High |
Jamal et al[38], 2015 | 106527 | 46.4 | NA | NA | High |
Khan et al[39], 2008 | 240 | 58.3 | 48.6 | 51.4 | High |
Latiffah et al[40], 2008 | 73 | 39.7 | 70.8 | 40.9 | High |
Latiffah et al[41], 2008 | 92 | 51.1 | NA | NA | High |
Lee et al[42], 2010 | 226 | 12.8 | NA | NA | Low |
Lian et al[43], 2015 | 223 | 25.1 | NA | NA | High |
Liao et al[44], 2010 | 206 | 19.9 | NA | NA | High |
Lim et al[45], 1991 | 368 | 30.4 | NA | NA | High |
Loh et al[46], 2013 | 1961 | 54.9 | NA | NA | High |
Ministry of Health Malaysia[47], 2010 | 2572 | 25.7 | NA | NA | High |
Mohamed et al[48], 2005 | 4117 | 33.0 | NA | NA | High |
Nazri et al[49], 2008 | 148 | 13.5 | NA | NA | High |
Nazri et al[50], 2008 | 348 | 12.6 | NA | NA | High |
Moy et al[51], 2010 | 380 | 20.3 | NA | NA | High |
Narayan et al[52], 2007 | 431 | 33.0 | NA | NA | High |
Narayan et al[53], 2007 | 479 | 33.6 | 28.0 | 27.5 | High |
Nasarudin et al[54], 2016 | 535 | 21.1 | NA | NA | Low |
Nawawi et al[55], 2002 | 608 | 30.3 | NA | NA | High |
Ng et al[56], 1995 | 427 | 21.1 | NA | NA | Low |
Noor Hassim et al[57], 2016 | 5505 | 25.2 | NA | NA | High |
Ong et al[58], 2010 | 205 | 36.1 | 81.1 | 33.8 | High |
Ong et al[59], 2013 | 40400 | 30.1 | NA | NA | High |
Raihan et al[60], 2013 | 251 | 14.3 | NA | NA | High |
Rampal et al[61], 2008 | 454 | 34.4 | 64.1 | 25.0 | High |
Rashid et al[62], 2011 | 418 | 54.6 | 51.8 | NA | High |
Rasiah et al[63], 2015 | 6690 | 37.4 | NA | NA | High |
Shahar et al[64], 2011 | 71 | 32.4 | NA | NA | High |
Samsudin et al[65], 2016 | 1414 | 42.4 | NA | NA | High |
Sherina et al[66], 2011 | 202 | 12.4 | NA | NA | High |
Shomad et al[67], 2016 | 56 | 4.00 | NA | NA | High |
Sidik et al[68], 2004 | 223 | 22.0 | NA | NA | High |
Teh et al[69], 2014 | 3406 | 35.8 | NA | NA | Low |
Yusoff et al[70], 2010 | 289 | 30.1 | NA | NA | High |
Zainuddin et al[71], 201 | 298 | 37.3 | NA | NA | High |
Table 2 Pooled prevalence and 95% confidence interval of hypertension and its subgroup analysis
Variable | Number of studies, n | Prevalence, % | 95%CI | P value | I2, % | Figure | |
Overall prevalence | |||||||
Malaysia | 56 | 29.7 | 26.1, 33.3 | < 0.001 | 99.7 | 2 | |
30 and above | 16 | 40.0 | 35.3, 44.8 | < 0.001 | 98.9 | 3 | |
Mean age, yr | 4 | ||||||
18–29 | 4 | 8.6 | 5.30, 11.90 | 0.03 | 66.9 | ||
30–39 | 3 | 13.5 | 2.9, 29.9 | < 0.001 | 98.7 | ||
40–49 | 17 | 27.9 | 24.9, 30.9 | < 0.001 | 96.5 | ||
50–59 | 4 | 39.4 | 29.3, 49.4 | < 0.001 | 99.7 | ||
60 and above | 6 | 42.8 | 30.2, 55.3 | < 0.001 | 95.8 | ||
Gender | |||||||
Male | 26 | 31.4 | 26.5, 36.2 | < 0.001 | 98.1 | 5A | |
Female | 26 | 27.8 | 20.7, 34.9 | < 0.001 | 99.5 | 5B | |
Ethnicity | |||||||
Malay | 17 | 37.3 | 32.9, 41.7 | < 0.001 | 98.9 | 6A | |
Chinese | 8 | 36.4 | 31.6, 41.2 | < 0.001 | 96.6 | 6B | |
Indian | 10 | 34.8 | 31.2, 38.4 | < 0.001 | 81.5 | 6C | |
Other | 9 | 32.9 | 25.8, 40.0 | < 0.001 | 98.0 | 6D | |
Study setting | 7 | ||||||
Community | 51 | 30.2 | 26.4, 34.1 | < 0.001 | 99.7 | ||
Health care setting | 5 | 24.3 | 16.6, 32.0 | < 0.001 | 97.5 | ||
Geographical origin | |||||||
Rural | 19 | 35.6 | 29.9, 41.4 | < 0.001 | 98.77 | 8A | |
Urban | 21 | 25.4 | 20.4, 30.4 | < 0.001 | 98.43 | 8B | |
Study decade | 9 | ||||||
1980-1989 | 1 | 16.2 | 13.4, 19.0 | NA | NA | ||
1990-1999 | 2 | 36.8 | 6.1, 67.5 | < 0.001 | 99.42 | ||
2000-2009 | 19 | 28.7 | 21.7, 35.8 | < 0.001 | 99.9 | ||
2010-2018 | 9 | 26.8 | 21.3, 32.2 | < 0.001 | 98.7 | ||
Blood pressure measurement tools | 10 | ||||||
Mercury sphygmomanometer | 15 | 33.2 | 26.4, 40.0 | < 0.001 | 98.8 | ||
Digital blood pressure device | 16 | 30.8 | 25.5, 36.0 | < 0.001 | 99.8 |
Table 3 Pooled awareness, pooled control and subgroup analyses
Variable | Number of studies, n | Prevalence, % | 95%CI | P value | I2, % | Figure |
Overall awareness | 10 | 51.4 | 46.6, 56.3 | < 0.001 | 93.4 | 11 |
Gender | ||||||
Male | 3 | 67.8 | 42.4, 93.1 | < 0.001 | 97.7 | 12A |
Female | 3 | 62.7 | 52.8, 72.6 | 0.046 | 67.6 | 12B |
Ethnicity | ||||||
Malay | 3 | 45.4 | 29.8, 61.0 | < 0.001 | 96.7 | 13A |
Non-Malay | 3 | 47.9 | 38.9, 56.8 | < 0.001 | 90.4 | 13B |
Geographical origin | ||||||
Rural | 4 | 45.3 | 34.9, 55.8 | < 0.001 | 93.3 | 14 |
Urban | 1 | 54.1 | 52.2, 56.0 | NA | NA | |
Overall control | 8 | 33.3 | 28.4, 38.2 | < 0.001 | 85.2 | 15 |
Gender | ||||||
Male | 3 | 37.1 | 26.0, 48.2 | < 0.001 | 59.1 | 16A |
Female | 3 | 30.4 | 16.0, 44.8 | < 0.001 | 80.7 | 16B |
Ethnicity | ||||||
Malay | 2 | 29.3 | 27.2, 31.5 | 0.68 | 0 | 17A |
Non-Malay | 3 | 35.6 | 29.9, 41.3 | 0.210 | 35.9 | 17B |
Geographical origin | ||||||
Rural | 3 | 34.1 | 15.5, 52.7 | < 0.001 | 94.7 | 18 |
Urban | 1 | 36.5 | 33.6, 39.3 | NA | NA |
Table 4 Sensitivity analysis
Variable | Number of studies, n | Total sample size, n | Total hypertensive, n | Prevalence, % | 95%CI | P value | I2, % |
Overall prevalence | 56 | 241796 | 94996 | 29.7 | 26.1, 33.3 | < 0.001 | 99.7 |
Upon removal of studies with poor quality studies | 51 | 237181 | 93473 | 28.5 | 26.0, 31.2 | < 0.001 | 99.4 |
Upon removal of studies with nonrandom sampling | 19 | 131904 | 59786 | 29.7 | 26.2, 33.4 | < 0.001 | 98.6 |
Upon removal of studies with sample size < 100 | 52 | 131904 | 59786 | 28.0 | 25.6, 30.6 | < 0.001 | 99.3 |
Upon removal of studies with large sample size > 500 | 47 | 28335 | 8943 | 28.4 | 23.3, 33.4 | < 0.001 | 99.2 |
Upon removal of poor-quality studies, nonrandom studies and studies with sample size < 100 | 12 | 46618 | 16031 | 26.3 | 21.6, 31.6 | < 0.001 | 99.2 |
- Citation: Soo MJ, Chow ZY, Ching SM, Tan CH, Lee KW, Devaraj NK, Salim HS, Ramachandran V, Lim PY, Sivaratnam D, Hoo FK, Cheong AT, Chia YC. Prevalence, awareness and control of hypertension in Malaysia from 1980-2018: A systematic review and meta-analysis. World J Meta-Anal 2020; 8(4): 320-344
- URL: https://www.wjgnet.com/2308-3840/full/v8/i4/320.htm
- DOI: https://dx.doi.org/10.13105/wjma.v8.i4.320