Non-Communicable Diseases: Risk Factors and other Health Problems 121 Sociodemographic Characteristics Sugar Intake From Self-Prepared Beverages Among Those Consume Daily Count Estimated Population Median gram of sugar / day IQR Q1 Q2 Indian 418 754,073 10.2 6.46 20.00 Bumiputera Sabah 315 633,137 10.0 5.00 20.40 Bumiputera Sarawak 274 632,758 10.7 5.00 21.43 Others 287 924,981 16.8 9.14 30.00 Marital Status Single 1,033 2,797,717 15.0 8.26 30.00 Married 4,162 7,530,962 13.4 6.50 25.20 Widow(er)/Divorcee 647 797,962 11.0 6.43 20.00 Education Level No Formal Education 374 552,012 10.2 5.00 20.00 Primary Education 1,441 2,308,320 13.2 5.97 27.20 Secondary Education 2,773 5,484,268 15.0 7.50 26.80 Tertiary Education 1,226 2,714,843 12.0 5.97 22.95 Occupation Government Employee 572 931,068 11.5 5.00 23.60 Private Employee 1,600 4,119,599 15.0 8.26 30.00 Self Employed 1,183 2,166,993 15.0 7.50 30.00 Unpaid Worker/ Homemaker 1,101 1,727,732 10.2 5.54 20.00 Retiree 333 514,127 10.0 5.00 22.50 Student 100 263,660 13.6 7.99 30.00 Not Workingb 951 1,398,667 11.0 5.00 20.40 Household Income Group Less than RM 1,000 607 918,005 10.7 5.71 21.43 RM 1,000 - RM 1,999 1,222 2,129,985 15.0 7.99 26.23 RM 2,000 - RM 3,999 1,749 3,369,046 13.6 7.14 28.60 RM 4,000 - RM 5,999 831 1,753,919 13.6 5.49 27.20 RM 6,000 - RM 7,999 492 1,034,820 14.4 7.50 30.00 RM 8,000 - RM 9,999 205 471,461 13.6 7.14 21.94 RM 10,000 and above 383 846,895 11.8 5.97 25.89 Household Income Quintile Quintile 1 1,226 1,921,551 13.6 6.80 24.00 Quintile 2 1,175 2,233,896 14.5 6.80 30.00 Quintile 3 1,085 2,098,896 15.0 7.91 26.17 Quintile 4 923 1,916,610 13.1 5.71 27.20 Quintile 5 1,080 2,353,177 13.6 6.80 28.80 Household Income Category Bottom 40% 3,793 6,865,160 13.6 6.80 26.17 Middle 40% 1,277 2,715,608 13.6 6.80 26.80 Top 20% 419 943,363 15.0 5.97 30.00
National Health and Morbidity Survey 2019 Technical Report − Volume I 122 Table 7.5: Prevalence of Inadequate Intake of Fruit, Vegetable and Fruit and/or Vegetable Among Adults Aged 18 Years and Above in Malaysia by Socio-Demographic Characteristics Sociodemographic Characteristics Inadequate Intake Fruit Vegetable Count Estimated Population Prevalence (%) 95% CI Count Estimated Population Prevalence (%) 95% CI Lower Upper Lower Upper MALAYSIA 8,492 17,042,893 90.6 89.36 91.74 9,151 18,163,065 90.0 88.64 91.30 State Johor 700 1,962,232 90.1 85.99 93.13 723 2,066,805 90.1 85.98 93.04 Kedah 428 996,857 91.8 86.34 95.17 505 1,177,118 96.7 94.29 98.14 Kelantan 530 994,118 94 89.93 96.04 559 1,050,136 98.1 95.21 99.27 Melaka 539 494,641 96.0 92.20 97.99 556 484,366 88.4 78.86 93.91 Negeri Sembilan 469 595,445 94.4 90.31 96.79 488 632,848 94.2 89.93 96.70 Pahang 533 844,864 89.3 84.59 92.74 578 919,364 95.6 93.15 97.24 Pulau Pinang 510 971,727 88.1 81.75 92.46 528 1,020,943 84.1 74.09 90.70 Perak 432 1,111,528 87.9 82.07 92.01 483 1,240,240 85.4 81.27 88.75 Perlis 455 126,523 89.4 83.86 93.18 503 142,491 94.5 90.32 96.94 Selangor 939 3,896,923 92.2 90.07 93.97 953 3,871,618 87.3 82.65 90.87 Terengganu 534 605,436 91.4 86.47 94.64 599 679,735 97.1 94.69 98.46 Sabah 604 1,863,421 84.9 77.32 90.26 719 2,202,560 88.3 84.77 91.15 Sarawak 553 1,380,569 92.3 89.60 94.27 603 1,479,505 90.4 84.40 94.30 WP Kuala Lumpur 430 1,100,233 92.2 87.96 94.99 417 1,085,664 89.6 83.69 93.49 WP Labuan 425 51,805 91.2 87.10 94.10 475 57,878 94.9 91.04 97.10 WP Putrajaya 411 46,570 89.8 85.92 92.67 462 51,795 97.2 94.11 98.71 Location Urban 5,213 13,436,833 90.7 89.16 92.01 5,552 14,120,634 89.3 87.58 90.87 Rural 3,279 3,606,060 90.4 88.38 92.11 3,599 4,042,431 92.6 90.98 93.96 Sex Male 3,801 8,608,289 90.8 88.85 92.40 4,106 9,160,425 89.4 87.33 91.15 Female 4,691 8,434,604 90.5 88.90 91.83 5,045 9,002,639 90.7 89.17 92.07 Age Group (Years) 18-19 252 654,386 95.3 91.76 97.36 271 712,271 92.7 87.73 95.81 20-24 737 2,221,417 89.1 82.17 93.60 779 2,382,520 89.9 85.89 92.83 25-29 786 2,419,826 90.8 87.23 93.49 853 2,604,249 91.1 87.90 93.58 30-34 792 2,085,160 90.8 87.87 93.15 878 2,228,996 88.2 81.74 92.52 35-39 887 1,920,441 90.4 87.46 92.73 923 1,980,949 87.4 84.16 90.13 40-44 758 1,572,690 93.5 90.87 95.40 801 1,591,687 89.1 84.32 92.54 45-49 737 1,339,369 91.5 88.77 93.61 784 1,402,875 89.3 86.09 91.81 50-54 776 1,243,226 89.1 85.88 91.64 845 1,308,605 88.5 84.98 91.34 55-59 769 1,101,263 90.8 87.42 93.30 851 1,209,379 93.7 91.18 95.51 60-64 675 847,756 88.5 84.01 91.78 738 965,496 91.5 88.41 93.85 65-69 531 649,911 87.3 80.85 91.87 576 714,257 92.8 89.26 95.23 70-74 364 439,400 89.5 84.87 92.81 390 472,431 90.4 85.66 93.73 75 & above 428 548,050 91.8 87.61 94.72 462 589,351 94.0 90.58 96.27 Ethnicity Malaya 5,592 8,929,725 91.5 90.16 92.72 5,976 9,365,836 91.3 90.00 92.37 Chinese 1,054 3,655,308 90.1 87.37 92.25 1,110 3,771,913 86.7 81.66 90.49 Indian 553 1,028,832 92.5 88.98 95.02 585 1,054,330 88.0 83.87 91.19
Non-Communicable Diseases: Risk Factors and other Health Problems 123 Sociodemographic Characteristics Inadequate Intake Fruit and / or Vegetable Count Estimated Population Prevalence (%) 95% CI Lower Upper MALAYSIA 8,655 17,289,917 94.9 93.82 95.79 State Johor 707 1,979,710 93.8 90.97 95.78 Kedah 449 1,046,739 99.0 97.47 99.59 Kelantan 542 1,014,365 98 95.10 99.22 Melaka 526 477,550 98.6 96.31 99.50 Negeri Sembilan 468 592,521 97.4 93.66 98.94 Pahang 549 869,184 96.9 94.14 98.33 Pulau Pinang 514 1,009,128 93.4 89.20 96.06 Perak 437 1,124,343 91.1 88.03 93.52 Perlis 480 132,117 95.5 87.37 98.46 Selangor 952 3,968,398 95.5 93.87 96.72 Terengganu 552 615,454 98.0 96.13 98.97 Sabah 642 1,945,376 91.0 81.94 95.72 Sarawak 551 1,351,376 95.3 91.95 97.32 WP Kuala Lumpur 413 1,061,186 93.9 90.07 96.31 WP Labuan 444 54,032 96.4 93.73 97.92 WP Putrajaya 429 48,437 97.4 95.07 98.63 Location Urban 5,306 13,618,210 94.6 93.29 95.72 Rural 3,349 3,671,707 95.9 94.58 96.87 Sex Male 3,872 8,689,374 95.1 93.14 96.50 Female 4,783 8,600,543 94.7 93.44 95.72 Age Group (Years) 18-19 238 629,870 98.9 96.54 99.68 20-24 711 2,145,221 91.4 83.51 95.75 25-29 800 2,491,206 96.1 93.66 97.58 30-34 822 2,149,673 96.0 94.12 97.35 35-39 889 1,913,818 92.7 89.89 94.81 40-44 774 1,602,774 96.9 94.93 98.06 45-49 749 1,338,182 94.5 92.12 96.21 50-54 810 1,269,142 93.4 90.29 95.55 55-59 807 1,155,971 97.0 95.12 98.18 60-64 704 896,563 95.5 92.89 97.23 65-69 550 696,068 95.2 92.07 97.15 70-74 371 449,612 94.8 91.00 97.06 75 & above 430 551,817 95.5 91.92 97.58 Ethnicity Malaya 5,671 8,987,076 95.8 94.86 96.53 Chinese 1,083 3,738,313 93.9 92.14 95.30 Indian 566 1,048,827 96.1 93.51 97.71
National Health and Morbidity Survey 2019 Technical Report − Volume I 124 Table 7.5: Prevalence of Inadequate Intake of Fruit, Vegetable and Fruit and/or Vegetable Among Adults Aged 18 Years and Above in Malaysia by Socio-Demographic Characteristics (cont’d) Sociodemographic Characteristics Inadequate Intake Fruit Vegetable Count Estimated Population Prevalence (%) 95% CI Count Estimated Population Prevalence (%) 95% CI Lower Upper Lower Upper Bumiputera Sabah 496 1,062,997 88.4 85.26 90.94 579 1,195,369 89.4 85.91 92.13 Bumiputera Sarawak 323 702,818 92.2 88.23 94.86 354 786,894 91.6 85.76 95.13 Others 474 1,663,214 86.8 77.91 92.48 547 1,988,721 92.0 87.09 95.12 Marital Status Single 1,709 4,725,671 91.6 89.47 93.32 1,824 5,006,038 90.8 88.58 92.67 Married 5,856 11,132,752 90.3 88.74 91.72 6,341 11,837,764 89.5 87.69 91.00 Widow(er)/Divorcee 927 1,184,470 89.6 85.05 92.82 986 1,319,263 92.5 89.87 94.49 Education Level No Formal Education 502 828,263 91.9 85.86 95.55 562 944,161 93.5 89.47 96.01 Primary Education 1,923 3,188,860 89.9 84.99 93.30 2,101 3,577,135 91.7 89.27 93.56 Secondary Education 4,019 8,223,222 91.0 89.57 92.23 4,331 8,807,365 90.1 88.46 91.61 Tertiary Education 2,008 4,709,413 90.3 88.10 92.08 2,108 4,717,979 87.9 84.46 90.67 Occupation Government Employee 880 1,347,681 91.7 88.79 93.89 942 1,333,804 89.3 85.62 92.11 Private Employee 2,429 6,543,957 91.9 90.21 93.40 2,569 6,929,348 89.2 87.25 90.93 Self Employed 1,503 2,890,744 87.7 83.14 91.21 1,655 3,144,167 89.1 84.50 92.45 Unpaid Worker/ Homemaker 1,693 2,892,227 90.6 88.22 92.60 1,852 3,143,750 91.3 88.62 93.37 Retiree 401 612,665 84.8 79.73 88.82 450 709,366 91.0 87.16 93.79 Student 232 626,951 97.0 93.91 98.55 231 619,754 90.6 83.52 94.79 Not Workingb 1,348 2,121,681 90.0 86.92 92.37 1,446 2,275,889 92.2 89.78 94.12 Household Income Group Less than RM 1,000 855 1,355,117 92.8 89.26 95.20 958 1,501,858 91.8 88.81 94.03 RM 1,000 - RM 1,999 1,655 3,190,452 90.4 87.88 92.41 1,833 3,403,907 88.6 83.27 92.43 RM 2,000 - RM 3,999 2,478 5,014,882 89.5 86.41 91.96 2,656 5,494,693 91.1 89.21 92.62 RM 4,000 - RM 5,999 1,282 2,695,061 91.4 89.00 93.36 1,378 2,890,354 91.2 88.65 93.23 RM 6,000 - RM 7,999 749 1,623,753 90.6 87.32 93.11 784 1,661,262 88.2 83.56 91.67 RM 8,000 - RM 9,999 341 788,810 93.4 89.23 96.05 346 778,504 88.6 82.62 92.71 RM 10,000 and above 595 1,344,094 90.7 86.55 93.63 621 1,301,211 86.2 80.79 90.30 Household Income Quintile Quintile 1 1,740 3,012,976 91.4 88.97 93.33 1,923 3,266,364 90.6 87.96 92.73 Quintile 2 1,573 3,060,004 89.4 84.69 92.72 1,726 3,386,828 89.4 84.23 93.08 Quintile 3 1,536 3,211,346 90.3 87.61 92.47 1,637 3,432,686 90.9 88.37 92.94 Quintile 4 1,421 2,971,186 91.0 88.72 92.89 1,539 3,204,936 91.2 88.80 93.19 Quintile 5 1,685 3,756,656 91.2 89.05 92.97 1,751 3,740,977 87.6 84.37 90.22 Household Income Category Bottom 40% 5,397 10,300,623 90.5 88.72 92.07 5,860 11,089,933 90.0 88.15 91.58 Middle 40% 1,899 4,175,545 91.0 88.82 92.74 2,032 4,435,070 90.7 88.20 92.74 Top 20% 659 1,536,001 90.8 87.11 93.47 684 1,506,788 86.7 81.83 90.35 a - Malay includes Orang Asli b - Not working includes Unemployed, and Old Age