| Literature DB >> 24969785 |
Yan Zou1, Xiaoming Lou1, Gangqiang Ding1, Zhe Mo1, Wenming Zhu1, Guangming Mao1.
Abstract
OBJECTIVES: To evaluate the difference of iodine nutritional status between rural and urban residents under the universal salt iodisation policy.Entities:
Keywords: EPIDEMIOLOGY; NUTRITION & DIETETICS; PUBLIC HEALTH
Mesh:
Substances:
Year: 2014 PMID: 24969785 PMCID: PMC4078769 DOI: 10.1136/bmjopen-2014-005484
Source DB: PubMed Journal: BMJ Open ISSN: 2044-6055 Impact factor: 2.692
Urinary iodine concentration (median, 25% and 75%) of people living in rural and urban areas stratified by age, Zhejiang Province, China
| Rural areas | Urban areas | Z | p Value | |||
|---|---|---|---|---|---|---|
| N | Median (25%, 75%; μg/L) | N | Median (25%, 75%; μg/L) | |||
| 0– | 55 | 188.4 (106.5, 326.6) | 32 | 141.6 (102.3, 208.6) | −1.937 | 0.053 |
| 1– | 209 | 186.0 (117.5, 264.3) | 140 | 176.5 (91.2, 265.8) | −0.653 | 0.514 |
| 5– | 335 | 176.7 (116.0, 274.6) | 343 | 171.0 (112.2, 258.5) | −0.642 | 0.521 |
| 10– | 369 | 198.7 (123.8, 288.5) | 350 | 173.3 (108.1, 258.4) | −2.646 | 0.008 |
| 15– | 208 | 190.5 (108.5, 275.0) | 244 | 181.0 (102.4, 264.2) | −0.907 | 0.364 |
| 20– | 304 | 163.6 (104.4, 252.8) | 287 | 191.2 (111.0, 288.1) | −0.166 | 0.096 |
| 25– | 416 | 167.6 (98.1, 258.8) | 508 | 166.2 (99.0, 257.7) | −0.103 | 0.918 |
| 30– | 500 | 173.3 (101.8, 261.8) | 483 | 173.9 (108.2, 264.5) | −0.460 | 0.645 |
| 35– | 594 | 178.0 (110.2, 269.9) | 666 | 172.6 (105.3, 253.6) | −1.778 | 0.075 |
| 40– | 813 | 170.1 (105.0, 254.7) | 832 | 168.3 (104.8, 246.5) | −0.447 | 0.655 |
| 45– | 872 | 169.0 (106.5, 259.4) | 828 | 150.8 (90.5, 236.5) | −3.647 | 0.000 |
| 50– | 936 | 152.0 (96.0, 241.9) | 962 | 148.1 (85.6, 231.8) | −1.897 | 0.058 |
| 55– | 1049 | 151.3 (97.8, 240.0) | 1078 | 148.7 (87.3, 238.0) | −1.310 | 0.190 |
| 60– | 796 | 155.0 (95.8, 251.1) | 869 | 137.0 (81.5, 218.0) | −4.071 | 0.000 |
| 65– | 451 | 154.2 (91.5, 236.9) | 478 | 125.2 (72.8, 204.8) | −3.932 | 0.000 |
| 70– | 305 | 151.2 (91.5, 236.9) | 340 | 121.7 (73.9, 219.2) | −3.842 | 0.000 |
| 75– | 210 | 155.8 (92.1, 233.3) | 297 | 127.5 (76.4, 200.2) | −2.990 | 0.003 |
| 80– | 101 | 156.6 (103.3, 228.4) | 125 | 137.0 (73.8, 219.2) | −1.979 | 0.048 |
| 85– | 30 | 133.9 (76.3, 194.4) | 47 | 118.0 (70.1, 166.6) | −0.752 | 0.452 |
| Total | 8553 | 170.1 (103.9, 259.8) | 8909 | 153.5 (92.0, 237.5) | −10.570 | 0.000 |
Urinary iodine concentration (median, 25% and 75%) of people living in rural and urban areas stratified by age group, Zhejiang Province, China
| Rural areas | Urban areas | Z | p Value | |||
|---|---|---|---|---|---|---|
| N | Median (25%, 75%; μg/L) | N | Median (25%, 75%; μg/L) | |||
| Preschool-aged children (3–6) | 238 | 180.9 (117.9, 275.0) | 186 | 181.6 (118.2, 251.7) | −0.776 | 0.438 |
| School-aged children (7–12) | 464 | 191.2 (116.7, 284.5) | 423 | 166.2 (107.6, 250.8) | −2.355 | 0.019 |
| Adolescents (13–18) | 288 | 192.5 (117.1, 287.6) | 371 | 186.0 (106.0, 276.0) | −1.068 | 0.286 |
| Young people (19–39) | 1839 | 171.0 (105.0, 262.0) | 1978 | 174.2 (105.2, 261.0) | −0.435 | 0.664 |
| Middle-aged people (40–59) | 3670 | 160.2 (100.2, 248.0) | 3700 | 153.8 (91.6, 239.0) | −3.587 | 0.000 |
| Older people (60 years and above) | 1893 | 154.0 (92.4, 245.5) | 2156 | 129.5 (77.2, 206.1) | −7.772 | 0.000 |
| Total | 8392 | 170.1 (103.9, 259.8) | 8814 | 153.5 (92.0, 237.4) | −7.365 | 0.000 |
Risk factors of urinary iodine concentration of people living in rural and urban areas, Zhejiang Province, China
| Rural areas* | OR | 95% CI | Wald | p Value | Urban areas* | OR | 95% CI | Wald | p Value | ||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Age group | 0.99 | 0.99 | 0.99 | 6.04 | 0.014 | Age group | 0.99 | 0.98 | 0.99 | 64.24 | 0.000 |
| Terrain | 0.83 | 0.76 | 0.91 | 17.73 | 0.000 | Terrain | 0.83 | 0.75 | 0.93 | 11.29 | 0.001 |
| Pickled products intake | 1.45 | 1.25 | 1.67 | 25.26 | 0.000 | Pickled products intake | |||||
| Aquatic products intake | Aquatic products intake | 1.24 | 1.04 | 1.47 | 6.01 | 0.014 | |||||
| Salt type | 0.39 | 0.31 | 0.49 | 67.64 | 0.000 | Salt type | 0.27 | 0.19 | 0.39 | 53.15 | 0.000 |
*Regression model in rural areas: χ2=251.267, p=0.000; Regression model in urban areas: χ2=316.136, p=0.000.