Table 1. Unweighted sample descriptive statistics.
NIDS,2008 | NIDS,2010–11 | NIDS,2012 | NIDS,2014–15 | |||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Variable | n | Med/ Percent |
IQR/ Frequency |
n | Med/ Percent |
IQR/ Frequency |
n | Med/ Percent |
IQR/ Frequency |
n | Med/ Percent |
IQR/ Frequency |
Men | 18,617 | 43.8% | 8,143 | 19,307 | 43.1% | 8,322 | 21,810 | 43.0% | 12,389 | 24,856 | 43.15% | 10,725 |
Age class | 18,541 | 19,293 | 21,780 | 24,808 | ||||||||
15–24 | 30.7% | 5,690 | 33.1% | 6,387 | 32.4% | 7,052 | 31.6% | 7,839 | ||||
25–34 | 19.7% | 3,657 | 20.1% | 3,884 | 21.2% | 4,620 | 22.7% | 5,642 | ||||
35–44 | 16.6% | 3,082 | 15.4% | 2,967 | 15.2% | 3,309 | 14.8% | 3,678 | ||||
45–54 | 13.8% | 2,567 | 13.1% | 2,525 | 12.9% | 2815 | 12.5% | 3,111 | ||||
55–64 | 9.5% | 1,766 | 9.4% | 1,815 | 9.5% | 2,067 | 9.6% | 2,367 | ||||
65+ | 9.6% | 1,779 | 8.9% | 1,715 | 8.8% | 1,917 | 8.7% | 2,162 | ||||
Racial ascription | 18,617 | 19,306 | 21,810 | 24,856 | ||||||||
Black | 76.6% | 14,254 | 81.8% | 15,793 | 81.2% | 17,718 | 82.5% | 20,500 | ||||
Coloured | 15.4% | 2,859 | 13.6% | 2,632 | 14.4% | 3,133 | 14.1% | 3,509 | ||||
White | 6.3% | 1,182 | 3.3% | 638 | 3.2% | 694 | 2.4% | 606 | ||||
Asian | 1.7% | 322 | 1.3% | 243 | 1.2% | 265 | 1.0% | 241 | ||||
Education | 18,510 | 19,270 | 21,725 | 24,763 | ||||||||
None | 13.1% | 2,417 | 12.2% | 2,357 | 10.8% | 2,358 | 8.8% | 2,185 | ||||
Primary* | 23.9% | 4,434 | 22.4% | 4,316 | 20.9% | 4,529 | 19.0% | 4,706 | ||||
Secondary* | 53.8% | 9,950 | 55.8% | 10,744 | 56.7% | 12,312 | 56.9% | 14,094 | ||||
Tertiary* | 9.2% | 1,709 | 9.6% | 1,853 | 11.6% | 2,526 | 15.35 | 3,778 | ||||
Urban | 18,617 | 50.5% | 9,395 | 19,228 | 46.3% | 8,897 | 21,810 | 47.4% | 10,342 | 24,856 | 49.4% | 12,287 |
Current smoking | 15,507 | 21.1% | 3,277 | 16,775 | 15.8% | 2,645 | 19,901 | 14.6% | 2,898 | 22,738 | 18.8% | 4,226 |
Current alcohol use | 15,504 | 24.3% | 3,767 | 16,735 | 20.5% | 3,437 | 18,664 | 23.5% | 4,386 | 22,737 | 28.7% | 6,532 |
Waist circ. [cm] | 13,970 | 83.1 | [74.2;95.4] | 15,146 | 82.0 | [72.0;96.0] | 18,262 | 86.0 | [76.0;98.7] | 22,402 | 84.8 | [74.8;98.9] |
BMI [kg/m2] | 13,885 | 24.4 | [20.9;29.7] | 15,122 | 25.0 | [21.4;30.3] | 18,317 | 25.0 | [21.5;29.9] | 22,324 | 24.8 | [21.0;30.6] |
BMI category** | 13,885 | 15,122 | 18,317 | 22,324 | ||||||||
Underweight | 6.8% | 947 | 5.7% | 863 | 3.9% | 722 | 5.3% | 1,193 | ||||
Normal weight | 47.2% | 6,550 | 44.4% | 6,714 | 46.0% | 8,428 | 45.6% | 10,171 | ||||
Overweight | 22.1% | 3,066 | 23.9% | 3,614 | 25.3% | 4,632 | 22.1% | 4,926 | ||||
Obese | 23.9% | 3,322 | 26.0% | 3,931 | 24.8% | 4,535 | 27.0% | 6,034 | ||||
CVD history | 18,617 | 3.7% | 689 | 19,307 | 2.5% | 481 | 21,810 | 3.5% | 757 | 24,856 | 2.6% | 649 |
Diagnosis of hypertension | 17,141 | 15.7% | 2,686 | 18,480 | 12.0% | 2,216 | 21,282 | 16.4% | 3,496 | 21,915 | 10.6% | 2,330 |
Antihypertensive treatment | 16,846 | 11.5% | 1,932 | 18,268 | 9.2% | 1,690 | 21,005 | 12.0% | 2,527 | 23,659 | 13.9% | 3,288 |
First systolic reading [mm Hg] | 13,792 | 123 | [111;139] | 14,745 | 122 | [110;136] | 18,318 | 121 | [110;135] | 22,455 | 121 | [109;135] |
Second systolic reading [mm Hg] | 13,732 | 121 | [109;136] | 14,622 | 120 | [109;134] | 18,306 | 119 | [108;133] | 22,446 | 119 | [107;133] |
First diastolic reading [mm Hg] | 13,810 | 80 | [71;90] | 14,730 | 79 | [71;89] | 18,320 | 80 | [72;90] | 22,466 | 79 | [71;89] |
Second diastolic reading [mm Hg] | 13,713 | 79 | [70;89] | 14,644 | 78 | [70;88] | 18,308 | 79 | [71;89] | 22,455 | 78 | [70;88] |
n = number of not missing values; Med = median; IQR = interquartile range. BMI = body mass index; CVD cardiovascular disease.
* Some or completed. Tertiary education includes any further training after completion of secondary education.
** Underweight: BMI < 18.5 Kg/m2; Normal Weight: 18.5 Kg/m2 ≤ BMI < 25 Kg/m2; Overweight: 25 Kg/m2 ≤ BMI < 30 Kg/m2; Obese: BMI > 30 Kg/m2.
Note that the total number of non-missing values for some demographic variables in the NIDS samples exceeds the number of subjects actually interviewed reported in the description of survey response rates in the article. This is because the NIDS datasets incorporate demographic information on subjects not interviewed recovered from the household roster. The sampling weights provided with the datasets are calculated taking into account these individuals.