UGA_2014_STEPS_v01_M DDI_UGA_2014_STEPS_v01_M Yue Wu Melanie Cowan 2020-01-07 Nesstar Publisher Version 1.0 (December 2019). STEPS 2014 STEPS 2014 UGA_2014_STEPS_v01 Ministry of Health Nesstar Publisher NCD Surveillance Team STEPS This is the first STEPS conducted by Uganda. Public-use dataset noncommunicable diseases risk factors health surveys tobacco use alcohol use diet nutrition salt physical activity blood pressure cervical cancer overweight obesity diabetes hypertension cardiovascular disease blood glucose cholesterol HDL cholesterol oral health STEPS STEPS is a household-based survey to obtain core data on the established risk factors that determine the major burden of NCDs. Uganda National coverage Individuals Adults aged 18-69 years. Sample survey data [ssd] A multistage sample design was used. Please refer to pages 18-19 of report for further information. Face-to-face [f2f] Cardiochek devices were used to obtain blood glucose, total cholesterol and HDL cholesterol measurements. NCD Surveillance Team The data is being distributed without warranty of any kind. The responsibility for the use of the data lies with the user. In no event shall the World Health Organization be liable for damages arising from its use. uga2014.NSDstat National public-use dataset 3987 213 Nesstar 200801 participant ID - unique record ID 3987 0 101035005 471330063 246902509.587 117772119.997 sex 3987 0 Men 1604 Women 2383 age for analysis 3987 0 18 69 35.392 13.038 yrs of education 3986 1 0 599 1 77 2 175 3 264 4 270 5 323 6 432 7 547 8 157 9 193 10 160 11 224 12 75 13 157 14 71 15 77 16 78 17 25 18 17 19 12 20 2 21 4 22 2 23 4 24 3 25 2 26 1 27 4 28 4 29 1 30 18 77 Don't know 8 Sysmiss 1 highest level of education 3986 1 1 No formal schooling 654 2 Primary school completed 1626 3 O-Level completed 976 4 Junior Secondary completed 328 5 A-level completed 13 6 University/ Higher institutions completed 116 7 Post graduate degree 258 8 15 88 Refused 0 Sysmiss 1 tribe 3986 1 1 Baganda 778 2 Banyankore 540 3 Iteso 273 4 Lugbara/Madi 261 5 Basoga 435 6 Langi 210 7 Bakiga 354 8 Karimojong 108 9 Acholi 188 10 Bagisu/Sabiny 277 11 Alur/Jopadhola 176 12 Banyoro 139 13 Batoro 203 14 Other 43 88 Refused 1 Sysmiss 1 specify other tribe 3431 0 . 3388 An Arab 1 CONGOLE 1 HINDI 1 Hindu 1 Jaluo(Kenyan) 1 KENYAN 1 MUNGIT(CONGOLESE) 1 MUNYALE (KENYA) 1 Mukumamu 1 NOT A UGANDAN 1 SIKI 2 SOHAG 1 SOMALI 2 Somali 1 Sudanese 1 TANZANIAN 6 TIGIRINA 1 TIGRIGNA (ERITREAN) 1 Tanzanian 8 bamusomi 1 bawangaza 1 congoles 1 kisi kenyan 1 muhame 1 mukenye 2 musiki 1 mutuge 1 somalia 1 marital status 3986 1 1 Never married 627 2 Currently married 2550 3 Separated 317 4 Divorced 89 5 Widowed 306 6 Cohabitating 94 88 Refused 3 Sysmiss 1 work status 3986 1 1 Government employee 106 2 Non-government employee 297 3 Self-employed 2198 4 Non-paid 45 5 Student 182 6 Unpaid family worker/Homemaker 918 7 Retired 22 8 Unemployed (able to work) 181 9 Unemployed (unable to work) 36 88 Refused 1 Sysmiss 1 adults older than 18yrs in household 3986 1 1 1085 2 2039 3 501 4 207 5 89 6 35 7 7 8 8 9 1 10 2 12 1 13 1 18 1 24 1 30 1 88 Refused 7 Sysmiss 1 household earnings per week 1691 2296 0 5000000 44468.318 185051.934 household earnings per month 1031 2956 0 12000000 203576.429 533995.031 household earnings per year 462 3525 0 30000000 703538.396 1942351.816 household earnings refused 3979 8 0 Disclosed 3184 1 Refused 795 Sysmiss 8 estimated household income (range) 802 3185 1 <=1,000,000 68 2 1,000,000-9,999,999 257 3 10,000,000-29,999,999 16 4 30,000,000-59,999,999 1 5 60,000,000 and more 0 77 Don't know 245 88 Refused 215 Sysmiss 3185 current smoking 3983 4 1 Yes 345 2 No 3638 Sysmiss 4 current daily smoking 345 3642 1 Yes 294 2 No 51 Sysmiss 3642 age started smoking 345 3642 8 1 9 1 10 14 12 5 13 3 14 6 15 27 16 15 17 11 18 43 19 24 20 57 21 9 22 14 23 6 24 8 25 19 26 6 27 5 28 10 29 3 30 18 31 2 32 2 34 1 35 5 36 3 37 1 38 2 39 1 40 7 41 1 42 1 44 1 45 1 48 2 53 1 55 1 67 1 77 Don't know 7 Sysmiss 3642 time since started smoking (years) 7 3980 30 2 77 Don't know 5 Sysmiss 3980 time since started smoking (months) 5 3982 77 Don't know 5 Sysmiss 3982 time since started smoking (weeks) 5 3982 77 Don't know 5 Sysmiss 3982 manufactured cigs smoked per day 293 3694 0 107 1 24 2 40 3 31 4 28 5 18 6 11 7 3 8 5 10 12 12 3 14 1 15 1 20 5 40 1 77 Don't know 3 Sysmiss 3694 manufactured cigs smoked per week 133 3854 0 87 1 7 2 7 3 7 5 4 6 1 7 2 10 4 12 1 14 1 18 1 20 1 21 2 22 1 28 1 45 1 777 Don't know 5 Sysmiss 3854 hand-rolled cigs smoked per day 293 3694 0 175 1 23 2 15 3 22 4 8 5 10 6 9 7 5 8 4 10 11 11 1 12 2 14 1 15 2 16 1 20 2 21 1 77 Don't know 1 Sysmiss 3694 hand-rolled cigs smoked per week 179 3808 0 163 1 3 2 2 3 3 4 1 5 1 7 1 12 1 14 2 36 1 777 Don't know 1 Sysmiss 3808 pipes smoked per day 293 3694 0 250 1 19 2 4 3 10 4 3 7 1 10 5 12 1 Sysmiss 3694 pipes smoked per week 204 3783 0 190 1 5 2 2 3 2 4 1 5 1 6 1 10 1 21 1 777 Don't know 0 Sysmiss 3783 cigars smoked per day 293 3694 0 287 1 1 5 1 6 1 23 1 77 Don't know 2 Sysmiss 3694 cigars smoked per week 240 3747 0 238 777 Don't know 2 Sysmiss 3747 shisha sessions per day 293 3694 0 291 1 1 77 Don't know 1 Sysmiss 3694 shisha sessions per week 242 3745 0 239 1 1 3 1 777 Don't know 1 Sysmiss 3745 other smoked per day 293 3694 0 273 1 6 3 2 5 1 6 1 10 1 77 Don't know 9 Sysmiss 3694 other smoked per week 254 3733 0 232 1 1 2 1 3 2 5 3 6 1 12 1 21 2 35 1 777 Don't know 10 Sysmiss 3733 specify other smoked 0 3987 Sysmiss 3987 stop smoking attempt in past 12 mos 344 3643 1 Yes 165 2 No 179 Sysmiss 3643 advised by MD to stop smoking 344 3643 1 Yes 79 2 No 182 3 No visit in past 12 mos 83 Sysmiss 3643 past smoking 3638 349 1 Yes 253 2 No 3385 Sysmiss 349 past daily smoking 304 3683 1 Yes 185 2 No 119 Sysmiss 3683 age quit smoking 253 3734 8 4 9 1 10 3 11 2 12 6 13 5 14 2 15 9 16 6 17 3 18 12 19 7 20 24 21 5 22 8 23 5 24 9 25 15 26 3 27 6 28 11 29 2 30 18 31 4 32 6 33 3 34 6 35 6 36 1 37 2 38 4 39 1 40 13 41 2 42 2 43 3 44 2 45 4 46 1 47 4 48 1 49 2 50 4 51 1 52 1 55 2 58 1 62 3 64 2 77 Don't know 6 Sysmiss 3734 time since quitting smoking (years) 6 3981 15 1 20 1 77 Don't know 4 Sysmiss 3981 time since quitting smoking (months) 4 3983 77 Don't know 4 Sysmiss 3983 time since quitting smoking (days) 4 3983 77 Don't know 4 Sysmiss 3983 current smokeless tobacco use 3982 5 1 Yes 152 2 No 3830 Sysmiss 5 current daily smokeless tobacco use 152 3835 1 Yes 115 2 No 37 Sysmiss 3835 Snuff, by mouth times per day 115 3872 0 32 1 10 2 15 3 20 4 2 5 9 6 6 7 1 8 1 9 1 10 10 12 6 77 Don't know 2 Sysmiss 3872 Snuff, by mouth times per week 62 3925 0 32 1 7 2 6 3 7 6 1 7 3 14 1 21 1 28 1 777 Don't know 3 Sysmiss 3925 Snuff, by nose times per day 115 3872 0 98 1 4 2 2 3 6 5 1 7 3 10 1 Sysmiss 3872 Snuff, by nose times per week 103 3884 0 93 1 1 2 2 3 4 9 1 10 1 777 Don't know 1 Sysmiss 3884 Chewing tobacco times per day 115 3872 0 87 1 5 2 7 3 8 4 1 6 1 7 1 9 1 10 3 12 1 Sysmiss 3872 Chewing tobacco times per week 99 3888 0 89 1 5 2 2 3 1 7 1 10 1 777 Don't know 0 Sysmiss 3888 Betel, quid times per day 115 3872 0 113 1 1 3 1 Sysmiss 3872 Betel, quid times per week 114 3873 0 112 1 1 350 1 777 Don't know 0 Sysmiss 3873 other smokeless product per day 115 3872 0 111 1 1 6 1 77 Don't know 2 Sysmiss 3872 other smokeless product per week 117 3870 0 109 2 1 3 1 14 1 777 Don't know 5 Sysmiss 3870 specify other smokeless product used 0 3987 Sysmiss 3987 past smokeless use 3830 157 1 Yes 83 2 No 3747 Sysmiss 157 past daily smokeless use 121 3866 1 Yes 102 2 No 19 Sysmiss 3866 exposed to smoke in home 3982 5 1 Yes 1322 2 No 2660 Sysmiss 5 exposed to smoke at work 3982 5 1 Yes 1449 2 No 1985 3 Don't work in closed area 548 Sysmiss 5 ever drank alcohol 3982 5 1 Yes 1890 2 No 2092 Sysmiss 5 drank alcohol in past 12 mos 1890 2097 1 Yes 1387 2 No 503 Sysmiss 2097 stopped drinking due to health reasons 503 3484 1 Yes 101 2 No 402 Sysmiss 3484 freq drinking in past 12 mos 1387 2600 1 Daily 152 2 5-6 days per week 56 3 3-4 days per week 125 4 1-2 days per week 395 5 1-3 days per month 260 6 Less than once a month 386 88 Refused 13 Sysmiss 2600 drank alcohol in past 30 days 1387 2600 1 Yes 1088 2 No 299 Sysmiss 2600 number drinking occasions past 30 days 1087 2900 1 326 2 178 3 94 4 90 5 40 6 31 7 33 8 46 9 3 10 29 12 24 13 1 14 7 15 14 16 8 18 4 19 1 20 13 23 3 24 4 25 3 27 1 28 8 30 63 40 1 50 4 77 Don't know 58 Sysmiss 2900 average number drinks per occasion past 30 days 1087 2900 1 162 2 213 3 79 4 124 5 40 6 68 7 87 8 34 9 7 10 71 11 2 12 24 14 29 15 6 16 11 18 7 19 1 20 23 21 11 22 2 24 3 25 2 26 1 28 5 30 13 31 1 32 3 34 1 40 10 46 1 48 1 49 1 50 15 77 Don't know 29 Sysmiss 2900 largest number drinks past 30 days 1087 2900 1 123 2 169 3 90 4 135 5 36 6 66 7 71 8 43 9 12 10 74 11 3 12 34 14 40 15 10 16 5 17 1 18 8 20 30 21 12 23 1 24 8 25 4 26 1 27 1 28 9 30 22 31 1 32 2 34 3 35 1 36 2 40 8 42 3 44 2 48 1 50 22 77 Don't know 34 Sysmiss 2900 times drank 6+ drinks in single occasion past 30 days 1087 2900 0 430 1 226 2 135 3 67 4 43 5 18 6 17 7 5 8 17 9 2 10 21 11 2 12 13 14 1 15 8 16 1 17 1 18 2 19 1 20 9 25 4 28 2 30 29 40 1 50 2 77 Don't know 30 Sysmiss 2900 number of drinks consumed last Monday 1087 2900 0 648 1 74 2 84 3 24 4 26 5 19 6 18 7 42 8 11 9 4 10 31 12 3 14 7 18 2 19 1 20 14 21 2 22 1 24 1 30 6 40 2 50 6 77 Don't know 61 Sysmiss 2900 number of drinks consumed last Tuesday 1087 2900 0 715 1 64 2 61 3 26 4 26 5 17 6 17 7 34 8 7 9 3 10 20 12 2 14 3 15 2 18 1 19 1 20 9 21 2 28 1 30 3 40 1 50 4 77 Don't know 68 Sysmiss 2900 number of drinks consumed last Wednesday 1087 2900 0 693 1 74 2 65 3 24 4 26 5 9 6 14 7 39 8 6 9 3 10 31 12 3 14 6 15 2 18 2 19 1 20 10 21 1 22 1 30 2 40 3 50 5 77 Don't know 67 Sysmiss 2900 number of drinks consumed last Thursday 1087 2900 0 708 1 73 2 56 3 23 4 26 5 8 6 11 7 41 8 13 9 3 10 32 12 3 14 4 15 2 18 3 19 1 20 6 21 1 30 2 33 1 34 1 35 1 50 5 77 Don't know 63 Sysmiss 2900 number of drinks consumed last Friday 1087 2900 0 657 1 87 2 75 3 19 4 28 5 15 6 17 7 41 8 9 9 3 10 28 12 4 14 6 15 1 16 2 18 4 19 1 20 9 21 3 28 1 30 5 35 1 40 2 50 6 77 Don't know 63 Sysmiss 2900 number of drinks consumed last Saturday 1087 2900 0 544 1 90 2 99 3 37 4 47 5 20 6 18 7 56 8 12 9 4 10 40 11 1 12 8 14 7 15 5 16 2 18 3 19 1 20 10 21 6 23 1 24 1 28 1 30 5 35 3 40 1 42 2 50 7 77 Don't know 56 Sysmiss 2900 number of drinks consumed last Sunday 1087 2900 0 528 1 111 2 99 3 30 4 65 5 15 6 53 7 15 8 4 9 3 10 41 11 1 12 5 13 1 14 12 15 6 16 3 20 14 21 5 22 1 30 6 40 5 50 8 77 Don't know 56 Sysmiss 2900 drank undeclared alcohol in past 7 days 1087 2900 1 Yes 604 2 No 483 Sysmiss 2900 number of homebrewed spirits in past 7 days 604 3383 0 237 1 54 2 68 3 23 4 21 5 13 6 16 7 10 8 8 9 2 10 26 12 5 13 1 14 10 15 1 16 1 20 16 21 5 23 1 25 2 28 2 30 13 32 1 35 1 40 4 42 2 45 1 46 1 50 21 77 Don't know 38 Sysmiss 3383 number of homebrewed beer or wine in past 7 days 604 3383 0 179 1 48 2 94 3 27 4 25 5 11 6 20 7 56 8 5 9 1 10 11 11 2 12 7 13 1 14 28 15 2 17 1 18 3 20 1 21 10 23 3 25 1 28 6 29 1 30 3 32 1 35 4 36 2 40 2 42 3 45 1 49 9 50 12 77 Don't know 24 Sysmiss 3383 unable to stop drinking in past 12 mos 1386 2601 1 Daily or almost daily 123 2 Weekly 92 3 Monthly 77 4 Less than monthly 111 5 Never 983 Sysmiss 2601 failed to do what was expected due to drinking in past 12 mos 1386 2601 1 Daily or almost daily 47 2 Weekly 62 3 Monthly 65 4 Less than monthly 116 5 Never 1096 Sysmiss 2601 needing drink first thin in morning in past 12 mos 1386 2601 1 Daily or almost daily 61 2 Weekly 42 3 Monthly 30 4 Less than monthly 50 5 Never 1203 Sysmiss 2601 family problems with alcohol in past 12 mos 3981 6 1 Yes, more than monthly 52 2 Yes, monthly 43 3 Yes, several times but less than monthly 163 4 Yes, once or twice 214 5 No 3509 Sysmiss 6 days fruit eaten per week 3981 6 0 804 1 517 2 740 3 668 4 205 5 204 6 128 7 664 77 Don't know 51 Sysmiss 6 servings fruit eaten per day 3126 861 1 876 2 1179 3 505 4 180 5 123 6 84 7 25 8 23 9 11 10 52 11 4 12 9 13 3 14 4 15 11 16 2 17 1 18 1 20 29 77 Don't know 4 Sysmiss 861 days veg eaten per week 3981 6 0 352 1 403 2 715 3 793 4 364 5 303 6 246 7 791 77 Don't know 14 Sysmiss 6 servings veg eaten per day 3615 372 1 1077 2 1619 3 409 4 194 5 79 6 115 7 14 8 34 9 3 10 30 11 1 12 10 13 1 14 21 15 2 16 2 20 4 Sysmiss 372 adding salt when eating 3982 5 1 Always 474 2 Often 344 3 Sometimes 1067 4 Rarely 840 5 Never 1256 77 Don't know 1 Sysmiss 5 adding salt when cooking 3982 5 1 Always 1358 2 Often 275 3 Sometimes 732 4 Rarely 744 5 Never 824 77 Don't know 49 Sysmiss 5 eating processed foods high in salt 3982 5 1 Always 95 2 Often 119 3 Sometimes 461 4 Rarely 1095 5 Never 2110 77 Don't know 102 Sysmiss 5 how much salt consumed 3982 5 1 Far too much 31 2 Too much 422 3 Just the right amount 2871 4 Too little 597 5 Far too little 25 77 Don't know 36 Sysmiss 5 importance lowering salt 3981 6 1 Very important 1894 2 Somewhat important 898 3 Not at all important 319 77 Don't know 870 Sysmiss 6 can excess salt hurt health 3981 6 1 Yes 2641 2 No 197 77 Don't know 1143 Sysmiss 6 limit consumption of processed foods 3981 6 1 Yes 1223 2 No 2758 Sysmiss 6 buy low salt alternative 3981 6 1 Yes 323 2 No 3658 Sysmiss 6 look at salt content on labels 3981 6 1 Yes 298 2 No 3683 Sysmiss 6 use spices instead of salt 3981 6 1 Yes 411 2 No 3570 Sysmiss 6 avoid eating out 3981 6 1 Yes 1032 2 No 2949 Sysmiss 6 do other things to control salt intake 3981 6 1 Yes 271 2 No 3710 Sysmiss 6 specify other things to control salt intake 3987 0 . 3716 ADDIINGG LITTLE AMOUNTS 1 ADDING >ITTLE AMOUNTS 1 ADDING LITTLE AMOUNT OF SALT 1 ADDING LITTLE AMOUNTS 3 ADDING LITTLE AMOUNTS OF SALT 2 ADDING THE RIGHT AMOUNT 1 ADDS MORE H2O TO DISOLVE SOLUTION 1 ADDS WATER TO DISOLVE SALT 1 ADDS WATER TO DISOLVE SALT CONCENTRATION 2 ADDS WATER TO DISOLVE SALTY SAUCE 1 ADDS WATER TO THE CONC SALT SOLUTION 1 ADVISES COOK TO USE LITTLE SALT 1 ALWAYS USES LITTLE SALT 1 APPLIES LITTLE JUST TO TASTE 1 Abstein from add in salt 1 Add water to souse 1 Adding little salt 1 Addition of more water to souce 1 Addition of pepper 1 Adds little salt in food 1 Adviice wife to use lottle salt 1 Advise my children to use average salt . 1 Apply little salt 2 Apply little salt in source 1 Apply little salt in sourse 1 Avoid adding in any source 1 Avoid adding while eating food 1 Avoid adding whle eating 1 BY REDUCING SALT AMOUNTS EVERY OTHER DAY 1 BYY ADDING WATER TO DILUTE SOLUTION 1 Buying salt which not hard 1 1 DILUTE WITH WATER 1 DILUTES SALT CONCENTRATION BY ADDING H2O 1 DILUTES SALT WITH WATER 1 DOESNT USE SALT IN GREEN VEGS 1 DOING EXERCISE 1 1 DRINK ALOT OF WATER 1 DRINK HOT WATER 1 Drink alot of water 1 EAT FOOD WITHNO SALT 1 EAT LITTLE AMOUNTS 1 EAT SALTLESS VEGETABLES 1 EAT SUGARCANES OR TAKE TEA 1 EAT VERY LITTLE AMOUNTS OF SALT 1 EATING VEGETABLES WITHOUT SALT 1 ENSURES THAT SHE USES LITTLE SALT 1 ESTIMATES WITH PALM 1 EXEMPT HIM SELF FROM IT 1 EXERCISE 1 Eating food not having too much salt. 1 Eating small amount of salt 1 Exercise 2 Exercise in diging 1 GETS RID OF THE BAD SALTY SAUCE AMOUNT 1 1 IALWAYS PREPARE MEALS MY SELF TO AVOID 1 IF MUCH SALT SHE DILUTES IT WITH WATER 1 LIMIT SALT IN TAKE 1 Leaves the food high in salt content 1 Limit salt intake foods 1 MEASURES SALT 1 MEASURES SALT AMOUNTS WITH TEA SPOON 1 MEEASURES SALT FROM THE PALM OF HER HAND 1 Minimise adding salt to source after 1 NOT ADDIING WHILE EATING FOOD 1 Never add salt which is raw to food 1 Nowdays she does not put any salt diet. 1 PUTTING LITTLE AMOUNT 1 PUTTING LITTLE AMOUNTS IN FOOD 1 PUTTTING THE RIGHT AMOUNT 1 Physicals 1 Pure some little water on served food. 1 REDUCE ON FOOD RATIOS 1 REDUCES AMOUNTS GRADUALLY 1 REDUCES SALT AMOUNTS EVERY OTHER DAY 1 1 REFUSES TO EAT 1 Refuses to eat food with much salt 1 Request my wife to use limited salt 1 Restrict Salt Intake 68 Restrict salt intake 1 SHE MEASURES WHAT SHE PUTS IN HER FOOD 1 TAKE A MUG OF WATTER WHILE EATING 1 TAKE ALOT OF WATER 1 TAKE LITTLE 1 TAKE TOO MUCC WAATER 1 TAKE TOO MUCH WATER AND VEG SALAD 1 TAKE WATER 8 TAKEALOTOFWATER 1 1 TELLS COOKS TO REDUCE SALT 1 TOMATO SAUCE 1 TOMATO SAUCE RYCO 1 TOMATO SSAUCE 1 TRIES TO USE LITTLE SALT 1 Take too much water 1 Takes a lot of water during meals. 1 Taking alot of water 1 Taking alot of water,fruits, 1 Taking water after a meal. 1 USE LOCALLY MADE SODIUM MAGADI 1 USEES LITTLE 1 USES A TEA SPOON FOR MEASURING SALT 1 USES ASH FROM BANANA LEAVES 2 USES HER REGULAR MEASUREMENT 1 USES LITTLE ALMOST DAILY 1 USES LITTLE AS A MUST 1 USES LITTLE DAY BY DAY 2 USES LITTLE SALT DAY BY DAY 1 USES RED PAPER AS SUBSTITUTE 4 SALT 1 USES SALT FOR ROYCO 1 USES SMALL AMOUNTS DELEBERATELY 1 USES TEA SPOON FOR MEASUREMENT OF SALT 1 USES TEA SPOON TO MEASURE SALT 1 Use magadi 2 Uses table spoon to measure salt 1 Visits restaurnts that use little salt 1 add chilli while preparing food 1 add chilly locally known as kamulali 1 add only enough salt to the source 1 add water 2 adding red pepper 1 adds little salt to sauce wen cooking 1 advise wife on salt levels in source 1 advises wife wife to use little salt 1 controlling salt at cooking stage 1 cook food with salt on fire 1 digging 1 dilut the much salt in food 1 dilutes salty food with water 1 diluting salty food 1 doing enough exercise 1 drink alot of water 2 drinking plenty of water 1 drinking water 1 eat some foods without salt such as eggs 1 eats food wit litle salt 1 eats little salt 1 eats only food without much salt 1 estimation of amount to put is source 1 i doing it yourself 1 keep outof reach of children 1 limit putting too much salt in the food 1 limiting lemon juice,jinger 1 makes sure little salt is added 1 manage salt levels at home 1 measure the salt which is propotional 1 measuring salt in ratio to the sauce 1 monitoring salts on foods 1 non 1 not to add salt in food 1 not to eat 2 prepari ng food from home 1 put litle salt 1 put salt in veges at once and not adding 1 putting just enough salt in food 1 putting small amount of salt 1 refuse to eat when food has lot of salt 1 restrict salt intake 4 restrictt salt intake 1 she restricts her cchildren on salt inta 1 sometimes eat without salt 1 stop adding salt in food 1 take alot of water 3 take more waterr 1 take plenty of water 1 takes oral rehydration salts 1 taking water 1 teach my daughter to use little salt 1 tomato sauce 1 use carrots instead of seasonings 1 use little salt to cook 1 use little salt while cooking. 1 uses ash ash instead of salt sometyms 1 uses herbal products like lemon drink 1 uses little salt for cooking 1 vigorous exercise 1 working too much 1 oil used most often 3981 6 1 Vegetable/palm oil 3003 2 Animal fat such as pork fat 102 3 Butter or ghee 176 4 Margarine 137 5 Other 0 6 None in particular 280 7 None used 187 77 Don't know 96 Sysmiss 6 specify other oil used most often 3987 0 . 3907 BOIL 1 Bidco cooking oil 1 Bidico oil 1 COW BOY 1 COWBOY 6 COWBOY/KIMBO 1 Cowboy 1 Fortune Butto 1 G nut 1 KIMBO 3 KOMURA 1 Kimbo 4 Mukwano cooking oil 1 Mukwano oil and fort 1 PALM OIL 9 PALMOIL 1 Palm oil 7 Rokie type of oil 1 Sun Flower paste 1 Ufuta type of oil 1 cow fat 1 cowboy 1 kimbo 4 miX UP Vegetables 1 ngasi 1 oalm oil 1 palm oil 22 sheer nut oil 1 sim sim oil 1 simsim 2 simsim oil 1 meals per week outside home 3981 6 0 2446 1 374 2 334 3 185 4 62 5 80 6 90 7 159 8 4 9 3 10 16 12 30 13 1 14 57 15 5 16 1 18 4 20 9 21 33 22 1 23 1 24 3 77 Don't know 83 Sysmiss 6 vig activity at work 3981 6 1 Yes 1599 2 No 2382 Sysmiss 6 vig activity at work: days per week 1599 2388 1 80 2 142 3 151 4 79 5 137 6 659 7 339 77 Don't know 12 Sysmiss 2388 vig activity at work: hours per day 1587 2400 0 121 1 110 2 149 3 163 4 240 5 218 6 221 7 95 8 110 9 38 10 62 11 9 12 37 16 1 77 Don't know 13 Sysmiss 2400 vig activity at work: mins per day 1587 2400 0 1289 1 2 2 6 5 2 6 3 10 20 15 23 19 1 20 26 23 1 25 2 30 164 35 5 40 14 45 12 48 2 50 2 77 Don't know 13 Sysmiss 2400 mod activity at work 3981 6 1 Yes 3310 2 No 671 Sysmiss 6 mod activity at work: days per week 3310 677 1 161 2 211 3 287 4 135 5 262 6 1285 7 961 77 Don't know 8 Sysmiss 677 mod activity at work: hours per day 3302 685 0 175 1 289 2 412 3 503 4 572 5 470 6 380 7 143 8 162 9 56 10 58 11 16 12 41 14 1 15 3 16 4 77 Don't know 17 Sysmiss 685 mod activity at work: mins per day 3302 685 0 2774 1 1 2 4 3 2 4 2 10 21 12 1 15 29 20 60 25 14 26 2 30 296 33 1 34 1 35 2 36 1 38 1 40 33 45 31 50 9 77 Don't know 17 Sysmiss 685 active transport 3981 6 1 Yes 3447 2 No 534 Sysmiss 6 active transport: days per week 3447 540 1 227 2 317 3 357 4 170 5 277 6 781 7 1300 77 Don't know 18 Sysmiss 540 active transport: hours per day 3429 558 0 1111 1 927 2 653 3 285 4 170 5 63 6 67 7 18 8 29 9 7 10 15 11 1 12 9 15 2 16 5 77 Don't know 67 Sysmiss 558 active transport: mins per day 3429 558 0 1866 1 1 2 3 5 1 10 164 12 8 13 2 15 124 16 2 18 2 19 1 20 233 21 1 23 1 24 1 25 32 26 1 28 2 30 679 32 1 35 11 36 1 38 2 40 105 45 70 47 1 48 1 50 37 55 3 56 1 59 5 77 Don't know 67 Sysmiss 558 vig leisure activity 3981 6 1 Yes 724 2 No 3257 Sysmiss 6 vig leisure activity: days per week 724 3263 1 184 2 149 3 112 4 35 5 36 6 89 7 109 77 Don't know 10 Sysmiss 3263 vig leisure activity: hours per day 714 3273 0 178 1 215 2 127 3 58 4 40 5 32 6 30 7 6 8 3 9 10 10 5 11 1 12 4 77 Don't know 5 Sysmiss 3273 vig leisure activity: mins per day 714 3273 0 438 1 1 2 3 3 1 5 2 10 23 15 32 20 20 22 1 25 1 30 140 35 5 40 11 45 20 50 8 55 1 59 2 77 Don't know 5 Sysmiss 3273 mod leisure activity 3981 6 1 Yes 541 2 No 3440 Sysmiss 6 mod leisure activity: days per week 542 3445 1 145 2 125 3 97 4 28 5 28 6 38 7 78 77 Don't know 3 Sysmiss 3445 mod leisure activity: hours per day 539 3448 0 192 1 162 2 92 3 43 4 13 5 11 6 7 7 3 8 2 10 2 12 2 16 1 77 Don't know 9 Sysmiss 3448 mod leisure activity: mins per day 539 3448 0 288 2 3 4 1 10 26 12 1 15 17 20 41 25 4 30 110 35 1 40 15 43 2 45 16 50 5 77 Don't know 9 Sysmiss 3448 sedentary time: hours per day 3974 13 0 386 1 768 2 930 3 659 4 394 5 248 6 183 7 51 8 107 9 17 10 43 11 2 12 20 13 2 15 2 16 5 77 Don't know 157 Sysmiss 13 sedentary time: mins per day 3974 13 0 3078 1 2 2 4 3 2 6 1 10 47 12 2 15 38 17 1 20 69 25 9 26 1 29 1 30 463 35 8 38 1 40 42 45 28 46 1 50 13 55 1 59 5 77 Don't know 157 Sysmiss 13 BP measured 3974 13 1 Yes 1274 2 No 2700 Sysmiss 13 told had high BP 1274 2713 1 Yes 320 2 No 954 Sysmiss 2713 told had high BP in past 12 mos 320 3667 1 Yes 209 2 No 111 Sysmiss 3667 taken meds for high BP 319 3668 1 Yes 92 2 No 227 Sysmiss 3668 seen trad'l healer for high BP 319 3668 1 Yes 39 2 No 280 Sysmiss 3668 taking trad'l meds for high BP 319 3668 1 Yes 31 2 No 288 Sysmiss 3668 gluc measured 3973 14 1 Yes 253 2 No 3720 Sysmiss 14 told had high gluc 253 3734 1 Yes 46 2 No 207 Sysmiss 3734 told had high gluc in past 12 mos 46 3941 1 Yes 32 2 No 14 Sysmiss 3941 taken meds for high gluc 46 3941 1 Yes 20 2 No 26 Sysmiss 3941 taking insulin for high gluc 46 3941 1 Yes 9 2 No 37 Sysmiss 3941 seen trad'l healer for high gluc 46 3941 1 Yes 13 2 No 33 Sysmiss 3941 taking trad'l meds for high gluc 46 3941 1 Yes 10 2 No 36 Sysmiss 3941 chol measured 3973 14 1 Yes 46 2 No 3927 Sysmiss 14 told had high chol 46 3941 1 Yes 12 2 No 34 Sysmiss 3941 told had high chol in past 12 mos 12 3975 1 Yes 8 2 No 4 Sysmiss 3975 taken meds for high chol 12 3975 1 Yes 4 2 No 8 Sysmiss 3975 seen trad'l healer for high chol 12 3975 1 Yes 1 2 No 11 Sysmiss 3975 taking trad'l meds for high chol 12 3975 1 Yes 1 2 No 11 Sysmiss 3975 had heart attack or stroke 3973 14 1 Yes 371 2 No 3602 Sysmiss 14 currently taking aspirin 3973 14 1 Yes 30 2 No 3943 Sysmiss 14 currently taking statins 3973 14 1 Yes 10 2 No 3963 Sysmiss 14 advised to not smoke 3973 14 1 Yes 664 2 No 3309 Sysmiss 14 advised to reduce salt 3973 14 1 Yes 765 2 No 3208 Sysmiss 14 advised to eat fruit/veg 3973 14 1 Yes 920 2 No 3053 Sysmiss 14 advised to reduce fat 3973 14 1 Yes 802 2 No 3171 Sysmiss 14 advised to do pa 3973 14 1 Yes 703 2 No 3270 Sysmiss 14 advised to lose weight 3973 14 1 Yes 574 2 No 3399 Sysmiss 14 cerv cancer screening 2374 1613 1 Yes 193 2 No 2155 77 Don't know 26 Sysmiss 1613 number natural teeth 3973 14 1 No natural teeth 6 2 1 to 9 teeth 11 3 10 to 19 teeth 188 4 20 teeth or more 3689 77 Don't know 79 Sysmiss 14 state of teeth 3967 20 1 Excellent 133 2 Very Good 692 3 Good 1591 4 Average 981 5 Poor 503 6 Very Poor 46 77 Don't Know 21 Sysmiss 20 state of gums 3967 20 1 Excellent 146 2 Very Good 741 3 Good 1853 4 Average 848 5 Poor 332 6 Very Poor 22 77 Don't Know 25 Sysmiss 20 has removable dentures 3973 14 1 Yes 357 2 No 3616 Sysmiss 14 has upper denture 368 3619 1 Yes 227 2 No 141 Sysmiss 3619 has lower denture 368 3619 1 Yes 277 2 No 91 Sysmiss 3619 pain in teeth, gums or mouth in past 12 mos 3973 14 1 Yes 1669 2 No 2304 Sysmiss 14 time since last dentist visit 3973 14 1 Less than 6 months 228 2 6-12 months 298 3 More than 1 year but less than 2 years 242 4 2 or more years but less than 5 years 497 5 5 or more years 536 6 Never received dental care 2172 Sysmiss 14 main reason for last dentist visit 1801 2186 1 Consultation / advice 57 2 Pain or trouble with teeth, gums or mouth 1388 3 Treatment / Follow-up treatment 335 4 Routine check-up treatment 21 5 Other 0 Sysmiss 2186 specify other main reason for last dentist visit 3987 0 . 3971 Bad shape 1 1 EXTRACTION 1 Extracting a tooth 1 Extraction 2 REMOVE ILL TEETH 1 SENSITISATION AT SCHOOL 1 TO BE DETOOTHED 1 TO DETOOTH 1 accident 1 bleding with no pain 1 cleaning 1 none 1 polishing 1 volunteered to be checked 1 frequency of cleaning teeth 3973 14 1 Never 23 2 Once a month 13 3 2-3 times a month 46 4 Once a week 69 5 2-6 times a week 183 6 Once a day 1945 7 Twice or more a day 1694 Sysmiss 14 use toothpaste to clean teeth 3950 37 1 Yes 2603 2 No 1347 Sysmiss 37 toothpaste used has fluoride 2603 1384 1 Yes 2237 2 No 114 77 Don't know 252 Sysmiss 1384 used to clean teeth: Toothbrush 3950 37 1 Yes 2813 2 No 1137 Sysmiss 37 used to clean teeth: Wooden toothpicks 3950 37 1 Yes 1255 2 No 2695 Sysmiss 37 used to clean teeth: Plastic toothpicks 3950 37 1 Yes 49 2 No 3901 Sysmiss 37 used to clean teeth: Thread (dental floss) 3950 37 1 Yes 50 2 No 3900 Sysmiss 37 used to clean teeth: Charcoal 3950 37 1 Yes 607 2 No 3343 Sysmiss 37 used to clean teeth: Chewstick / miswak 3950 37 1 Yes 1716 2 No 2234 Sysmiss 37 used to clean teeth: Other 3950 37 1 Yes 408 2 No 3542 Sysmiss 37 specify other methods to clean teeth 3987 0 . 3579 A PIECE OF CLOTH AND ASH 1 ALOEVERA TOOTH GEL 1 APPLIES & SALT 1 APPLIES SALT 2 APPLIES SALT & SOAP 1 APPLIES SALT ON TOOTH BRUSH 1 APPLIES SALT OR SOAP 3 APPLIES SOAP 8 APPLIES SOAP & SALT 1 APPLIES SOAP +USING CLOTH 1 APPPLIES SOAP 1 ARSH 2 ASH 20 ASH AND BLUE LAUNDRY SOAP 1 ASH AND SALT 1 ASH SALT 2 ASH: SALT 1 ASHI 1 ASH_SALT 1 Also uses local drug too brush 1 Ash 13 Ash, Soap, Salt 1 Ash, salt 2 Ash, salt, soap 1 Ash, soap 2 BLUE LOUNDRY SOAP 1 CLOTH 1 COMMON SALT OR EKISULA 1 Charcoal 2 DENTAL POWDER 1 FINGERS 1 FINGERS AND WATER 1 Fingures 1 GNLD HERBAL 1 GRASS 12 Grass 1 HANDKERCHIEF FOR FLOSSING 1 HERBAL MEDICINE 5 Handkerchief 1 Heabal which is in liquid form 1 Hearbal cleaser 1 Herbal 1 Herbal medicine 2 Herbal powder 1 Herbal preparations 1 Herbal soap to clean teeth 1 Herbal solution 3 JULIET POWDER 1 LIQUID SYRUP FROM DENTIST 1 LIQUIDHERBAL MEDICINE 1 LIQUUID FORMULAE NOT KNOWN 1 LOCAL HERBS 2 Local herbs 1 MULONDO STEM 1 MUTETE 1 NATURAL STICK 1 OMO WASH POWDER 1 Ordinary soap 1 POWDER 1 PUTS SALT ON THE TOOTH BRUSH 1 Piece of cloth 1 SALT 39 SALT $ ASH 1 SALT OR SOAP R SOMETIMES USED 1 SALT,SOAP 1 SALT:ASH 1 SALTY LUKE WARM WATER 1 SAND 1 SAOP 1 SOAP 47 SOAP AND A SPONGE 1 SOAP AND SALT 2 SOAP IS APPLIED 1 SOAP SALT 1 SOAP, SALT 1 SOAP:SALT 1 SOLDIUM LIQUID 1 SOME HERBAL LIQUID 1 SOMETIMES USES CLOTH 1 SUGAR CANE 1 Salt 14 Salt and ash 1 Salt and soap 1 Salt and water 1 Salt solution 1 Salt to clean his teeth 1 Salt, Herbal solution 1 Salt, soap 5 Salty water 6 Sand 2 1 Small sticks 1 Smoker type bcz he uses taba 1 Soaap on toothbrush 1 Soap 23 1 Soap and Arsh 1 Soap, Salt. 1 Soap, ash 2 Soap, salt 1 Soap,Arsh, salt herbal 1 Stick. 1 1 1 USES CLOTH 1 USES CLOTH TO CLEAN TEETH 1 USES HAAND KATCHIEF 1 USES SALT 1 USES SOAP & SALT 1 Uses ordinary sticks. 1 Uses soap on teeth brush 1 WATER AND FINGER 1 arsh,salty water 1 ash 11 ash/soap 1 ashe 1 ashes 1 blue soap 1 broom stick 1 cloth 1 cloth and sugarcane peelings 1 dexa, cetrozine 1 grass 16 grass[kitete] 1 herbal medicine 1 laudry soap 1 law Salt 1 liquid herbal medicine 1 local herbs 1 mouth wash 2 mukonzikonzi plant 1 parafin 1 pearl drop 1 salt 17 salt and ash 2 salt and soap 1 salt and soap solution 1 salty warm water 1 salty water 2 sand 1 soap 15 soap and salt 2 soap solution 1 soap,salt 1 soap,salt,ash 2 soapy and salty water. 1 sometimes uses arsh 2 tooth brash and muswaki 1 traditional tree 1 washing soap 1 wood ash 1 had problem in past 12 mos: Difficulty with speech/trouble pronouncing words 3973 14 1 Yes 648 2 No 3325 Sysmiss 14 had problem in past 12 mos: Difficulty in chewing foods 3973 14 1 Yes 1481 2 No 2492 Sysmiss 14 had problem in past 12 mos: Felt tense because of problems with teeth or mouth 3973 14 1 Yes 962 2 No 3011 Sysmiss 14 had problem in past 12 mos: Embarrassed about appearance of teeth 3973 14 1 Yes 385 2 No 3588 Sysmiss 14 had problem in past 12 mos: Avoid smiling because of teeth 3973 14 1 Yes 438 2 No 3535 Sysmiss 14 had problem in past 12 mos: Sleep is often interrupted 3973 14 1 Yes 862 2 No 3111 Sysmiss 14 had problem in past 12 mos: Days not at work because of teeth or mouth 3973 14 1 Yes 741 2 No 3232 Sysmiss 14 had problem in past 12 mos: Difficulty doing usual activities 3973 14 1 Yes 768 2 No 3205 Sysmiss 14 had problem in past 12 mos: Reduced participation in social activities 3973 14 1 Yes 524 2 No 3449 Sysmiss 14 had problem in past 12 mos: Less tolerant of spouse or people close to you 3973 14 1 Yes 267 2 No 3706 Sysmiss 14 BP reading 1: systolic 3906 81 50 300 130.144 21.596 BP reading 1: diastolic 3906 81 36 200 83.969 13.122 heart rate reading 1 3906 81 37 200 74.816 14.498 BP reading 2: systolic 3906 81 64 300 125.806 20.468 BP reading 2: diastolic 3906 81 44 200 81.973 12.586 heart rate reading 2 3906 81 37 200 74.697 14.532 BP reading 3: systolic 3906 81 67 300 123.732 19.793 BP reading 3: diastolic 3906 81 46 200 80.799 12.302 heart rate reading 3 3906 81 36 200 74.97 13.828 took raised BP meds in past 2 weeks 3904 83 1 Yes 80 2 No 3822 77 2 Sysmiss 83 pregnant 2338 1649 1 Yes 206 2 No 2132 Sysmiss 1649 height (cm) 3690 297 115 888.8 162.371 22.587 weight (kg) 3689 298 21 888.8 60.751 27.577 waist circumference (cm) 3681 306 30 888.8 80.607 34.399 hip circumference (cm) 3681 306 30 888.8 94.664 34.289 ate/drank in past 12 hours (fasting status) 3718 269 1 Yes 24 2 No 3694 Sysmiss 269 time blood sample taken (hours) 3720 267 0 24 9.755 3.471 time blood sample taken (minutes) 3720 267 0 59 29.786 17.262 fasting blood glucose (mmol/l) 3691 296 1.1 777 4.341 18.028 took insulin today 3691 296 1 Yes 10 2 No 3681 Sysmiss 296 total cholesterol (mmol/l) 3715 272 2.59 10.36 3.536 0.976 HDL cholesterol (mmol/l) 3715 272 0.36 10.36 1.114 0.544 chol meds taken in past 2 weeks 3715 272 1 Yes 4 2 No 3706 77 5 Sysmiss 272 final analysis weight for step 1 variables (interview) 3987 0 178.213 41339.781 3057.714 2643.539 final analysis weight for step 2 variables (physical measures) 3906 81 184.529 45473.59 3128.489 2731.292 final analysis weight for step 3 variables (biochemical measures) 3715 272 190.509 52174.57 3295.881 2884.762 psu 3987 0 1 350 180.484 98.764 stratum 3987 0 1 urban 1084 2 rural 2903 ageranges for which survey was designed 3987 0 18-29 1616 30-49 1680 50-69 691