INDEPTH NCD-RF (Non Communicable Diseases Risk Factor) Surveillance, 2005 Data (Release 2016) DDI.INDEPTH.NCD-RF.2016.v2 Dr. Nawi Ng Neeraj Kashyap Tathagata Bhattacharjee 2016-09-19 Nesstar Publisher INDEPTH NCD-RF (Non Communicable Diseases Risk Factor) Surveillance, 2005 Data (Release 2016) INDEPTH.NCD-RF.2016.v2 Dr. Sanjay Juvekar Dr. Nawi N Dr. Hoang Van Minh Dr. Le Vu Anh Dr. Abdullahel Hadi Mr. Ali Ashraf Dr. Abdur Razzaque Dr. Uraiwan Kranungsukaseam

Data Managers

Study Participants

Prof. Osman Sankoh This dataset documentation is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. The dataset is shared in terms of the data-use agreement accepted at the time of data download. Nesstar Publisher INDEPTH Network WHO iSHARE2 Helpdesk Sample Survey 2005-06 to 2005-11 NCD-RF Non Communicable Diseases Chronic non-communicable diseases Risk factor surveillance INDEPTH Network WHO STEPS Public Health [N01.400.550] Rural Population [N01.600.725] Bangladesh India Indonesia Thailand Vietnam The study was conducted in 2005 in nine HDSS sites in Asia, namely Matlab, Mirsarai, Abhoynagar, and WATCH (Bangladesh), Vadu (India), Purworejo (Indonesia), Kanchanaburi (Thailand), Filabavi and Chililab (Vietnam) Individual This multi-site study was designed as a baseline cross-sectional survey with sufficient sample size to measure trends over time. In each of nine HDSS sites in five Asian countries, a sample of 2,000 men and women aged 25-64 years, using the WHO STEPwise approach to Surveillance (http://who.int/chp/steps), was selected using stratified random sampling (in each 10-year interval) from the HDSS sampling frame. Sample survey data Taking advantage of the existing Health and Demographic Surveillance System (HDSS) sampling frame, a representative sample of about 1,000 men and 1,000 women of adults aged 25-64 years from each site was randomly selected using the WHO STEPS methodology. A total of 18,932 individuals were randomly selected from the nine HDSSs sampling frame. A total of 18,494 individuals were successfully interviewed. Face-to-face [f2f] The weight was obtained as proportion of study sample in each sex and 10 years age group to each HDSS population in the same group. 98% (ranging from 95% in Matlab HDSS, Chililab HDSS, and Purworejo HDSS to 100% inKanchanaburi HDSS). A high response rate for this study, taking into consideration that it was embedded in a well-functioning HDSS, has been expected. The sample estimates may differ from the population figures that would have been produced if the entire HDSS population had been included in the survey. The measure usually used to indicate the probable difference between a sample estimate and the corresponding population figure is the standard error (SE), which measures the extent to which an estimate may have varied by chance because only a sample of the population was included. INDEPTH Network (GH001) This data is anonymised and no confidentiality agreement in addition to the general data use agreement is required iSHARE2 Help desk The user of the data acknowledges that the original collector of the data, INDEPTH, and the relevant funding agencies bear no responsibility for the data's use or interpretation or inferences based upon it. INDEPTH.NCD-RF.2010.v2.NSDstat 18429 46 Nesstar 200801 INDEPTH.NCD-RF.2010.v2 Demographic Infromation Health Status Education Status Tobacco Use Fruit and vegetable consumption Blood pressure Alcohol Comsumption Physical activity patterns sex Question(s): QI_01: What is Person sex? 18429 0 Description: This is the gender variable 0 Male 9221 1 Female 9208 Demographic Infromation age Question(s): QI_02: How old are You? 18429 0 25 64 44.312 11.253 Demographic Infromation agh1 Question(s): QI_03: How would you rate your overall health today? 18422 7 1 Good 6177 2 Moderate 6584 3 Bad 5661 Sysmiss 7 Health Status agh2 Question(s): QI_04: How would you describe your general health compared to others of your own age? 18180 249 1 Better than Others 5187 2 Same as Others 5581 3 Worse than Others 7412 Sysmiss 249 Health Status ah58 Question(s): QI_05: Do these health conditions interfere with your ability to work or get things done around the house? 18429 0 1 Yes 5297 2 No 13132 Health Status ah59 Question(s): QI_06: How many days of work or activities have you lost in the last 12 months as a result of these health conditions? 8188 10241 0 365 20.433 51.056 Health Status ahb1 Question(s): QI_07: When was the last time that you felt a need for medical / health care? 18419 10 1 Never felt 1324 2 < 30 Days 7475 3 1-11 Months 6630 4 >=1 Year 2990 Sysmiss 10 Health Status ahb2 Question(s): QI_08: The last time you felt a need; did you get medical / health care? 15755 2674 1 Yes 14291 2 No 1464 Sysmiss 2674 Health Status ahb4 Question(s): QI_09: Where did you go most often over the last 12 months when you felt sick or needed to consult someone about your health? 13548 4881 1 Public Hospital 3501 2 Private Qual 4858 3 Private Unqual 1111 4 Traditional 161 5 Pharmacies 3682 6 Others 235 Sysmiss 4881 Health Status as1a Question(s): QI_10: Do you currently smoke any tobacco products, such as cigarettes, cigars or pipes? 18423 6 0 13230 1 Yes 5193 2 No 0 Sysmiss 6 Tobacco Use ad1a Question(s): QI_11: In a typical week, on how many days do you eat fruit? 18328 101 0 5768 0.5 77 1 2943 1.5 165 2 3049 2.5 108 3 2134 3.5 129 4 1057 4.5 68 5 685 5.5 30 6 218 6.5 1 7 1896 Sysmiss 101 Fruit and vegetable consumption ad1b Question(s): QI_12: How many servings of fruit do you eat on one of those days? 14198 4231 0 1702 0.2 51 0.3 15 0.5 252 0.7 1 1 5142 1.2 105 1.5 163 1.6 1 1.9 78 2 3327 2.5 202 3 1228 3.1 33 3.5 29 3.8 45 4 800 4.4 8 4.5 3 5 401 5.5 1 6 308 6.2 1 6.5 2 7 71 8 96 9 52 10 36 11 12 12 8 13 14 15 3 16 2 19 1 20 5 Sysmiss 4231 Fruit and vegetable consumption ad2a Question(s): QI_13: In a typical week, on how many days do you eat vegetables? 18408 21 0 167 1 770 2 1212 3 1645 4 1592 5 1348 6 814 7 10860 Sysmiss 21 Fruit and vegetable consumption ad2b Question(s): QI_14: How many servings of vegetables do you eat on one of those days? 18221 208 0 102 0.2 1 0.3 4 0.5 278 1 4890 1.2 89 1.5 241 1.9 7 2 5516 2.5 267 3 4268 3.1 1 3.5 1 3.8 117 4 1483 4.4 1 5 445 6 413 6.2 9 7 30 7.5 1 8 40 9 7 10 8 12 1 20 1 Sysmiss 208 Fruit and vegetable consumption sys Question(s): QI_15: Blood Pressure in Systolic? 18346 83 60.7 238.7 121.605 18.068 Blood pressure dia Question(s): QI_16: Blood Pressure in Diastolic? 18346 83 36 175.7 76.686 11.889 Blood pressure ah49 Question(s): QI_17: Have you been taking any medications or other treatment for it during the last 2 weeks? 18429 0 0 No 17368 1 Yes 1061 Health Status preg Question(s): QI_18: (For women) Are you pregnant? 8192 10237 0 No 8059 1 Yes 133 Health Status educa1 Question(s): QI_19: What is the highest level of education you have completed? 18423 6 1 <6 Years 7709 2 Primary School 3861 3 Secondary School 4056 4 High School 2797 Sysmiss 6 Education Status weighting 18429 0 1.8 27.3 9.476 5.582 Health Status smoke 18429 0 0 No 13607 1 Yes 4822 Tobacco Use alcohol 18429 0 0 No 14699 1 Yes 3730 Alcohol Consumption dietrec 18429 0 0 Above Recommendation 2232 1 Below Recommendation 16197 Fruit and vegetable consumption bmi 18164 265 10.8 73.9 21.055 3.645 Body mass index (BMI), a measurement which compares weight and height, defines people as overweight (pre-obese) when their BMI is between 25 kg/m2 and 30 kg/m2, and obese when it is greater than 30 kg/m2. over 18164 265 Overweight is generally defined as having more body fat than is optimally healthy. Being overweight is a common condition, especially where food supplies are plentiful and lifestyles are sedentary. 0 No 15821 1 Yes 2343 Sysmiss 265 obese 18164 265 Obesity is a medical condition in which excess body fat has accumulated to the extent that it may have an adverse effect on health, leading to reduced life expectancy and/or increased health problems. 0 No 17800 1 Yes 364 Sysmiss 265 p215 18429 0 0 10770 1172.707 1314.975 site 18429 0 This field identifies the INDEPTH NCD-RF Asian HDSS sites. 1 Matlab 2061 2 Mirsarai 2028 3 Abhoynagar 1983 4 Watch 1997 5 Vadu 2074 6 Chililab 2194 7 Filabavi 2000 8 Purworejo 1946 9 Kanchanaburi 2146 smokestart Question(s): QI_29: How old were you when you first started smoking daily? 4590 13839 10 60 19.885 6.451 Tobacco Use cigmanuf 4820 13609 0 No 2398 1 Yes 2422 Sysmiss 13609 Tobacco Use cigmannum Question(s): QI_31: On average, how many of the Manufactured cigarettes do you smoke each day? 2422 16007 1 50 10.104 7.132 Tobacco Use lifeabs Question(s): QI_32: Have you ever consumed a drink that contains alcohol? 18429 0 0 Ever Used 5010 1 Lifetime abs 13419 Alcohol Consumption abstainer 18429 0 0 Alcoholist 3730 1 Abstainer 14699 Alcohol Consumption alc7day 18429 0 0 Not Current Drinker 16144 1 Current Drinker 2285 Alcohol Consumption alc45drink 18429 0 0 Unlabeled 14699 1 Less than 4/5 drinks 3087 2 At least 4/5 drinks any day 643 Alcohol Consumption phyact 18429 0 0 Low PA 6211 1 Moderate PA 3495 2 High PA 8723 Physical activity patterns phylow 18429 0 0 Non low PA 12218 1 Low PA 6211 Physical activity patterns phyhigh 18429 0 0 Non high PA 9706 1 High PA 8723 Physical activity patterns vigact Question(s): QI_39: Does your work involve vigorous-intensity activity that causes large increases in breathing or heart rate like [heavy lifting, carry loads, digging or construction work] for at least 10 minutes at a time? 17576 853 0 With Vigorous Activity 5148 1 No Vigorous Activity 12428 Sysmiss 853 Physical activity patterns waist Question(s): QI_40: Waist circumference 18235 194 36 180 75.007 10.067 Physical activity patterns hyper140 18429 0 0 <140/90 14423 1 >=140/90 4006 Physical activity patterns hyper160 18429 0 0 <160/100 16567 1 >=160/100 1862 Physical activity patterns risklow1 18164 265 0 No 17360 1 Yes 804 Sysmiss 265 Physical activity patterns riskhigh1 18164 265 0 No 14498 1 Yes 3666 Sysmiss 265 Physical activity patterns risklow2 18164 265 0 No 17259 1 Yes 905 Physical activity patterns riskhigh2 18164 265 0 No 15466 1 Yes 2698 Physical activity patterns