Table 1.Number (%) of research articles published in peerreviewed journals cited in PubMed using Korean National Health and Nutrition Examination Survey data during 2007 to 20121
Published year |
No. of research articles (%)
|
Ordinary statistical analysis |
Design-based analysis |
Total |
2007 |
12 (92.3) |
1 (7.7) |
13 |
2008 |
15 (88.2) |
2 (11.8) |
17 |
2009 |
24 (88.8) |
3 (11.2) |
27 |
2010 |
40 (87.0) |
6 (13.0) |
46 |
2011 |
58 (76.3) |
18 (23.7) |
76 |
20121
|
57 (73.1) |
21 (26.9) |
78 |
Total |
206 (80.2) |
51 (19.8) |
257 |
Table 2.Comparison of geometric mean±standard error of blood metals between ordinary statistical data analysis and designbased analysis by gender, age groups in Korean adult population
Classification |
|
n |
Blood lead (μg/dL)
|
Blood cadmium (μg/L)
|
Blood mercury (μg/L)
|
|
Ordinary statistical analysis |
Design-based analysis |
Ordinary statistical analysis |
Design-based analysis |
Ordinary statistical analysis |
Design-based analysis |
|
Total |
5919 |
2.310±0.012 |
2.288±0.015 |
0.969±0.007 |
0.967±0.010 |
4.352±0.033 |
4.303±0.052 |
Gender |
Male |
2957 |
2.735±0.019 |
2.700±0.021 |
0.888±0.010 |
0.886±0.012 |
5.205±0.056 |
5.173±0.080 |
Female |
2962 |
1.951±0.014 |
1.943±0.018 |
1.057±0.011 |
1.055±0.014 |
3.639±0.034 |
3.587±0.047 |
Age (y) |
20-29 |
1142 |
1.820±0.020 |
1.816±0.024 |
0.596±0.011 |
0.597±0.014 |
3.614±0.053 |
3.652±0.067 |
30-39 |
1186 |
2.129±0.024 |
2.152±0.025 |
0.874±0.014 |
0.876±0.018 |
4.313±0.068 |
4.287±0.076 |
40-49 |
1196 |
2.402±0.029 |
2.421±0.034 |
1.084±0.016 |
1.078±0.017 |
4.846±0.081 |
4.859±0.093 |
50-59 |
1191 |
2.690±0.030 |
2.672±0.030 |
1.218±0.019 |
1.209±0.022 |
5.022±0.085 |
5.033±0.100 |
>60 |
1204 |
2.595±0.032 |
2.502±0.037 |
1.212±0.017 |
1.243±0.022 |
4.084±0.074 |
3.832±0.106 |
Table 3.Comparison of logistic regression analysis1 of blood metals on hypertensive status in adults between ordinary statistical data analysis and design-based analysis during 2008 to 2010
Independent variable |
Ordinary statistical analysis |
Design-based analysis |
Odds ratio (95% confidence interval)2 |
Model 1. Dependent variable: hypertension |
Log blood lead (μg/dL) |
0.983 (0.859, 1.124) |
0.999 (0.854, 1.170) |
Log blood cadmium (μg/L) |
1.240 (1.123, 1.369) |
1.249 (1.117, 1.398) |
Log blood mercury (μg/L) |
0.963 (0.882, 1.051) |
0.968 (0.878, 1.068) |
Model 2. Dependent variable: pre-hypertension |
Log blood lead (μg/dL) |
1.137 (0.995, 1.298) |
1.173 (1.001, 1.375) |
Log blood cadmium (μg/L) |
1.295 (1.178, 1.423) |
1.279 (1.147, 1.426) |
Log blood mercury (μg/L) |
0.902 (0.827, 0.984) |
0.924 (0.833, 1.023) |
Table 4.Comparison of logistic regression analysis1 of blood metals on osteoporosis in menopausal women between ordinary statistical data analysis and design-based analysis
Independent variable |
|
Ordinary statistical analysis |
Design-based analysis |
|
Odds ratio (95% confidence interval) |
Model 1. Continuous blood metals |
|
|
Log blood lead (μg/dL) |
|
1.771 |
2.371 |
|
|
(1.029, 3.047)2
|
(1.307, 4.301)2
|
Log blood cadmium (μg/L) |
|
0.899 |
0.952 |
|
|
(0.575, 1.406)2
|
(0.584, 1.552)2
|
Log blood mercury (μg/L) |
|
0.488 |
0.628 |
|
|
(0.320, 0.743)2
|
(0.376, 1.048)2
|
Model 2. Categorized blood mercury |
|
|
|
≤2.504 |
1 (reference) |
1 (reference) |
Blood mercury quartiles (μg/L) |
>2.504 to 3.487 |
0.863 |
1.122 |
|
(0.475, 1.569) |
(0.537, 2.345) |
|
>3.487 to 5.001 |
0.611 |
0.944 |
|
|
(0.342, 1.093) |
(0.475, 1.877) |
|
>5.001 |
0.450 |
0.575 |
|
|
(0.251, 0.808) |
(0.280, 1.181) |