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Non-Communicable Diseases: Risk Factors and other Health Problems 117 Sociodemographic Characteristics Sugar Intake from Premixed Drinks Among Those Consume Daily Count Estimated Population Median gram of sugar / day IQR Q1 Q2 Indian 29 34,567 14.3 14.26 14.26 Bumiputera Sabah 112 232,495 14.3 14.26 28.52 Bumiputera Sarawak 65 163,984 14.3 14.26 28.52 Others 45 182,480 28.5 14.26 28.52 Marital Status Single 119 349,272 14.3 14.26 28.52 Married 498 949,574 14.3 14.26 28.52 Widow(er)/Divorcee 78 122,010 14.3 14.26 14.26 Education Level No Formal Education 56 92,405 14.3 14.26 28.52 Primary Education 177 370,501 14.3 14.26 28.52 Secondary Education 313 613,221 14.3 14.26 28.52 Tertiary Education 147 343,014 14.3 14.26 28.52 Occupation Government Employee 64 86,337 14.3 14.26 28.52 Private Employee 218 575,754 14.3 14.26 28.52 Self Employed 130 312,542 14.3 14.26 28.52 Unpaid Worker/ Homemaker 130 183,457 14.3 14.26 28.52 Retiree 37 49,856 14.3 14.26 28.52 Student 8 15,458 14.3 14.26 14.26 Not Workingb 108 197,452 14.3 14.26 28.52 Household Income Group Less than RM 1,000 66 88,797 14.3 14.26 28.52 RM 1,000 - RM 1,999 120 207,865 14.3 14.26 28.52 RM 2,000 - RM 3,999 235 557,771 14.3 14.26 28.52 RM 4,000 - RM 5,999 104 209,140 14.3 14.26 28.52 RM 6,000 - RM 7,999 63 148,546 14.3 14.26 14.26 RM 8,000 - RM 9,999 25 53,262 14.3 14.26 28.52 RM 10,000 and above 46 96,398 14.3 14.26 28.52 Household Income Quintile Quintile 1 130 197,135 14.3 14.26 28.52 Quintile 2 129 305,831 14.3 14.26 28.52 Quintile 3 148 328,961 14.3 14.26 28.52 Quintile 4 118 231,646 14.3 14.26 28.52 Quintile 5 134 298,206 14.3 14.26 21.39 Household Income Category Bottom 40% 446 877,891 14.3 14.26 28.52 Middle 40% 151 328,867 14.3 14.26 28.52 Top 20% 62 155,021 14.3 14.26 28.52

National Health and Morbidity Survey 2019 Technical Report − Volume I 118 Table 7.4: Prevalence of at Least Once in A Week Intake of Sugar Added Self-Prepared Beverages, Proportion of Daily Intake of at Least One Type of Self-Prepared Beverages and The Amount of Sugar Intake Per Day Among the Respondents Consuming Self-Prepared Beverages Daily Among Adults Aged 18 Years and Above in Malaysia by Socio-Demographic Characteristics Sociodemographic Characteristics Sugar Added Self-Prepared Beverages Intake in A Week Sugar Added Self-Prepared Beverages Intake Daily Among Those Consume at Least Once A Week Count Estimated Population Prevalence at Least Once A Week (%) 95% CI Count Estimated Population Proportion of Daily Intake (%) 95% CI Lower Upper Lower Upper MALAYSIA 9,046 18,189,658 85.6 84.24 86.78 5,926 11,307,186 62.2 60.34 63.96 State Johor 764 2,156,668 89.0 85.95 91.52 474 1,262,709 58.5 52.29 64.55 Kedah 489 1,164,624 90.6 87.95 92.76 333 724,890 62.2 55.11 68.88 Kelantan 571 1,093,579 97.7 95.73 98.75 299 565,473 51.7 48.36 55.04 Melaka 553 506,975 85.3 80.37 89.09 357 311,092 61.4 47.54 73.57 Negeri Sembilan 471 586,021 83.3 76.30 88.58 318 387,761 66.2 58.57 73.01 Pahang 570 885,594 86.9 80.83 91.31 390 576,223 65.1 58.18 71.37 Pulau Pinang 533 1,007,668 80.3 73.40 85.77 344 606,974 60.2 50.73 69.03 Perak 497 1,301,034 84.3 79.24 88.34 354 845,738 65.0 57.04 72.21 Perlis 512 149,225 93.3 90.42 95.42 354 95,995 64.3 56.84 71.18 Selangor 971 3,970,553 86.6 83.83 89.04 612 2,320,089 58.4 54.06 62.68 Terengganu 607 702,663 94.9 92.40 96.62 443 512,392 72.9 67.92 77.40 Sabah 639 1,943,527 75.6 69.27 80.91 394 1,152,114 59.3 53.34 64.96 Sarawak 645 1,591,715 86.2 82.65 89.12 489 1,201,567 75.5 70.04 80.23 WP Kuala Lumpur 413 1,035,963 79.9 71.50 86.27 272 686,785 66.3 61.05 71.17 WP Labuan 378 45,868 72.4 68.03 76.36 257 31,885 69.5 63.87 74.63 WP Putrajaya 433 47,981 83.8 79.18 87.60 236 25,499 53.1 48.22 58.01 Location Urban 5,424 14,046,438 84.6 83.02 86.12 3,465 8,561,257 60.9 58.74 63.11 Rural 3,622 4,143,220 88.8 86.94 90.50 2,461 2,745,929 66.3 63.44 69.00 Sex Male 4,308 9,729,604 89.0 87.09 90.71 3,076 6,510,203 66.9 64.18 69.53 Female 4,738 8,460,054 81.9 80.04 83.59 2,850 4,796,984 56.7 54.36 59.01 Age Group (Years) 18-19 283 758,554 85.7 80.24 89.85 136 362,820 47.8 39.61 56.17 20-24 811 2,376,385 82.8 77.24 87.23 417 1,254,947 52.8 47.62 57.94 25-29 847 2,573,877 86.0 81.71 89.35 475 1,381,467 53.7 49.01 58.27 30-34 865 2,290,761 86.1 81.85 89.48 515 1,284,925 56.1 50.29 61.73 35-39 928 2,111,545 89.1 86.30 91.32 578 1,321,275 62.6 57.58 67.31 40-44 785 1,600,564 87.3 83.73 90.25 533 1,114,053 69.6 64.96 73.88 45-49 790 1,429,722 86.0 82.65 88.76 556 967,604 67.7 62.15 72.75 50-54 831 1,302,486 84.8 80.85 88.12 583 941,969 72.3 67.63 76.57 55-59 804 1,126,605 84.3 80.52 87.43 591 815,864 72.4 67.85 76.56 60-64 725 954,335 86.3 81.82 89.88 553 703,825 73.8 68.32 78.54 65-69 570 694,695 86.8 80.40 91.29 395 458,817 66.0 59.97 71.64 70-74 386 445,303 81.0 74.50 86.17 290 323,452 72.6 65.83 78.53 75 & above 421 524,825 80.0 74.33 84.61 304 376,168 71.7 65.23 77.34 Ethnicity Malaya 6,088 9,900,777 91.0 89.98 91.94 3,954 6,178,738 62.4 60.39 64.38 Chinese 1,006 3,544,626 77.7 73.94 81.05 657 2,121,086 59.8 54.24 65.20

Non-Communicable Diseases: Risk Factors and other Health Problems 119 Sociodemographic Characteristics Sugar Intake From Self-Prepared Beverages Among Those Consume Daily Count Estimated Population Median gram of sugar / day IQR Q1 Q2 MALAYSIA 5,842 11,126,641 13.6 6.80 25.43 State Johor 467 1,231,741 8.6 5.00 16.80 Kedah 325 715,257 15.0 7.86 30.00 Kelantan 298 564,156 20 11.46 30.00 Melaka 348 301,720 10.2 6.80 20.40 Negeri Sembilan 318 387,761 10.2 5.71 20.40 Pahang 389 575,023 18.7 10.20 30.00 Pulau Pinang 341 599,860 12.9 6.80 20.40 Perak 349 831,642 15.0 7.50 30.00 Perlis 354 95,995 10.0 6.80 20.00 Selangor 611 2,317,417 15.0 10.00 30.00 Terengganu 441 509,592 30.0 15.00 50.00 Sabah 393 1,144,247 10.0 5.00 21.47 Sarawak 467 1,144,322 10.0 5.00 20.00 WP Kuala Lumpur 258 651,353 9.6 5.00 19.29 WP Labuan 257 31,885 10.0 5.10 20.40 WP Putrajaya 226 24,669 15.0 6.80 30.00 Location Urban 3,411 8,425,287 13.6 6.80 25.26 Rural 2,431 2,701,354 15.0 7.50 26.97 Sex Male 3,014 6,369,376 15.0 8.40 30.00 Female 2,828 4,757,265 10.2 5.00 20.00 Age Group (Years) 18-19 134 352,245 19.6 7.93 30.00 20-24 411 1,235,220 14.4 8.74 25.71 25-29 470 1,371,059 13.6 7.14 27.90 30-34 508 1,262,684 15.9 8.40 30.00 35-39 568 1,283,465 13.6 5.71 26.66 40-44 522 1,098,079 13.6 7.50 25.20 45-49 547 949,473 14.5 7.86 27.20 50-54 578 937,136 13.6 6.80 20.00 55-59 585 803,566 11.1 5.00 21.86 60-64 547 697,791 10.0 5.00 20.00 65-69 385 446,833 10.0 5.00 20.00 70-74 285 314,055 10.0 5.00 20.00 75 & above 302 375,035 10.0 5.00 20.00 Ethnicity Malaya 3,907 6,103,862 15.0 9.14 30.00 Chinese 641 2,077,829 10.0 5.00 15.30

National Health and Morbidity Survey 2019 Technical Report − Volume I 120 Table 7.4: Prevalence of at Least Once in A Week Intake of Sugar Added Self-Prepared Beverages, Proportion of Daily Intake of at Least One Type of Self-Prepared Beverages and The Amount of Sugar Intake Per Day Among the Respondents Consuming Self-Prepared Beverages Daily Among Adults Aged 18 Years and Above in Malaysia by Socio-Demographic Characteristics (cont’d) Sociodemographic Characteristics Sugar Added Self-Prepared Beverages Intake in A Week Sugar Added Self-Prepared Beverages Intake Daily Among Those Consume at Least Once A Week Count Estimated Population Prevalence at Least Once A Week (%) 95% CI Count Estimated Population Proportion of Daily Intake (%) 95% CI Lower Upper Lower Upper Indian 589 1,107,549 89.2 85.73 91.93 424 761,756 68.8 62.30 74.60 Bumiputera Sabah 504 1,094,767 79.8 74.94 83.91 316 641,004 58.6 52.09 64.73 Bumiputera Sarawak 368 844,792 88.6 84.53 91.64 285 665,929 78.8 72.54 83.99 Others 491 1,697,147 75.4 67.66 81.73 290 938,673 55.3 47.99 62.40 Marital Status Single 1,875 5,153,668 85.5 83.13 87.60 1,050 2,854,853 55.4 51.81 58.93 Married 6,220 11,784,675 85.9 84.11 87.47 4,227 7,653,355 64.9 62.71 67.11 Widow(er)/Divorcee 951 1,251,316 82.9 79.12 86.14 649 798,979 63.9 59.16 68.29 Education Level No Formal Education 520 860,820 79.5 71.93 85.42 376 554,673 64.4 56.32 71.80 Primary Education 2,072 3,469,813 84.6 80.53 87.95 1,461 2,350,250 67.7 64.09 71.18 Secondary Education 4,313 8,913,050 86.2 84.56 87.62 2,817 5,575,420 62.6 59.88 65.16 Tertiary Education 2,093 4,839,891 86.3 83.75 88.56 1,244 2,759,644 57.0 53.37 60.59 Occupation Government Employee 922 1,414,797 90.5 87.45 92.90 585 946,759 66.9 61.74 71.71 Private Employee 2,590 6,980,928 85.1 83.10 86.83 1,623 4,170,815 59.7 56.78 62.64 Self Employed 1,681 3,249,956 87.9 83.70 91.19 1,208 2,219,972 68.3 63.97 72.35 Unpaid Worker/ Homemaker 1,749 2,998,692 84.2 80.95 86.90 1,107 1,750,376 58.4 54.77 61.88 Retiree 453 707,349 89.1 84.69 92.35 337 522,433 73.9 67.50 79.35 Student 229 593,604 80.6 72.40 86.86 101 267,285 45.0 36.17 54.21 Not Workingb 1,417 2,237,807 83.2 79.44 86.35 963 1,424,751 63.7 59.61 67.54 Household Income Group Less than RM 1,000 918 1,443,742 84.1 79.64 87.80 615 936,510 64.9 60.18 69.28 RM 1,000 - RM 1,999 1,841 3,575,341 87.5 84.31 90.13 1,241 2,176,556 60.9 56.08 65.48 RM 2,000 - RM 3,999 2,643 5,423,106 85.0 82.16 87.40 1,770 3,409,316 62.9 59.66 65.96 RM 4,000 - RM 5,999 1,355 2,881,491 86.5 83.64 88.90 844 1,785,478 62.0 57.93 65.84 RM 6,000 - RM 7,999 790 1,722,691 87.8 83.79 90.97 499 1,046,196 60.7 54.47 66.66 RM 8,000 - RM 9,999 348 785,631 87.5 81.61 91.67 210 482,861 61.5 53.72 68.66 RM 10,000 and above 614 1,360,235 84.5 78.96 88.82 390 861,967 63.4 56.25 69.95 Household Income Quintile Quintile 1 1,874 3,213,697 84.6 81.09 87.54 1,247 1,971,757 61.4 57.44 65.12 Quintile 2 1,731 3,481,887 85.9 81.93 89.04 1,187 2,265,179 65.1 60.39 69.45 Quintile 3 1,644 3,438,918 86.4 83.65 88.67 1,099 2,119,256 61.6 57.43 65.65 Quintile 4 1,508 3,189,179 86.7 84.13 88.90 937 1,951,669 61.2 57.33 64.93 Quintile 5 1,752 3,868,558 86.6 83.63 89.05 1,099 2,391,024 61.8 57.92 65.55 Household Income Category Bottom 40% 5,805 11,157,100 85.8 84.03 87.44 3,845 6,975,024 62.5 60.29 64.69 Middle 40% 2,019 4,479,584 86.9 84.70 88.76 1,299 2,761,668 61.7 58.06 65.12 Top 20% 685 1,555,555 85.2 80.02 89.18 425 962,192 61.9 55.37 67.95 *Prevalence with high RSE, interpret with caution a - Malay includes Orang Asli b - Not working includes Unemployed, and Old Age