From: Ferritin levels and risk of metabolic syndrome: meta-analysis of observational studies
First author Year (Reference number) | Country | Study design | Population | Men (%) | Age years | Sample | Ferritin assay | Metabolic syndrome criteria | Ferritin concentration (μg/l) | *Quality score | |
---|---|---|---|---|---|---|---|---|---|---|---|
Men | Women | ||||||||||
Jehn, 2004 [11] | U.S. | Cross-sectional | NHANES III (1988–1994) U.S. Population | 48 | 48 | 5,949 | RIA | NCEP ATPIII | Q1:62a Q4:318a | Premenopausal: Q1:11a Q4:89a Postmenopausal: Q1:35a Q4:212a | 30 |
Bozzini, 2005 [12] | Italy | Cross-sectional | Verona Heart Project | 73 | 58 | 479 | NIA | NCEP ATPII | Both genders: With MS: 124 (111–138)b Without MS: 83 (73–94)b | 19 | |
Choi, 2005 [13] | Korea | Cross-sectional | Welfare Centers of Seoul Metropolitan | 0 | 72 | 959 | EIA | NCEP original | With MS: 74 ± 2c Without MS: 59 ± 2c | 28 | |
Soto González 2006 [14] | Spain | Cross-sectional | Patients of the Endocrinoloy and Nutrition Service of Hospital | 34 | 38 | 598 | RIA | NCEP ATPIII | Both genders: With MS: 133.9 ± 141.1d Without MS: 66.8 ± 71.8d | 31 | |
Vari, 2007 [32] | France | Prospective cohort | DESIR cohort French people 6 years of follow up | 49 | 47 | 944 | NIA | NCEP ATPIII | At baseline 178 ± 90d | At baseline Premenopausal women: 56 ± 40d Postmenopausal women: 92 ± 54d | 32 |
Shi, 2008 [15] | China | Cross-sectional | The 2002 National Nutrition and Health survey | 46 | 40-49 | 2,816 | RIS | NR | Q4:257 (176–500)e | Q4:170 (96–504)e | 30 |
Sun, 2008 [16] | China | Cross-sectional | Nutrition and Health of Aging population | 44 | 58 | 3,165 | TIA | NCEP ATPIII | Q1:71 (68–73.2)b Q4:327 (316–340)b | Q1:52 (51–54)b Q4:231(224–239)b | 30 |
Ryu, 2008 [17] | Korea | Cross-sectional | Korean Rural GENOMIC Cohort | 38 | 58 | 1,444 | N.R | NCEP ATPIII | Q1:45 ± 2f Q4:258 ± 12f | Q1:17 ± 2f Q4:131 ± 1f | 32 |
Kim, 2011 [18] | Korea | Cross-sectional | Healthy volunteers | 53 | 51 | 7,253 | TIA | NCEP ATPIII | 176 ± 108d | 75 ± 55d | 30 |
Park, 2012 [26] | Korea | Prospective cohort | Check-up of men in Health Promotion Center | 100 | 44 | 13,084 | International Diabetes Federation | At baseline 112 ± 64d | ------------- | 31 | |
Kang, 2012 [20] | Korea | Cross-sectional | South Korean general population KNANHES IV (2007–2008) | 44 | 48 | 7,346 | RIA | NCEP ATPIII | Q1:46 (33, 55)g Q4:194(167, 247)g | 27 | |
Hämäläinen, 2012 [21] | Finland | Case–control | People invited to heath check up in 2004 | 45 | 52 | 766 | EIA | NCEP ATPIII | With MS: 216 ± 165d Without MS: 151 ± 112d | With MS: 94 ± 75d Without MS: 61 ± 48d | 28 |
Leiva, 2013 [19] | Chile | Cross-sectional | Research program of Risk Factors for Cardiovascular Disease of Talca | 31 | 57 | 155 | EIA | NCEP ATPIII | With MS: 72 (47–112)h Without MS: 55 (36–96)h | With MS: 54 (34–85)h Without MS: 27 (13–60)h | 30 |
Chang, 2013 [22] | Taiwan | Cross-sectional | Third national nutritional and health survey in Taiwan (NAHSIT 2005-2008) | 43 | 55 | 2,654 | EIA | NCEP ATPIII modified | 229 ± 349d | 119 ± 180d | 27 |
Li, 2013 [31] | China | Cross-sectional | China Health and Nutrition Survey | 47 | 51 | 8,441 | RIA | NCEP ATPIII modified | Q1:52a Q4:423a | Q1:12.9a Q4:142.7a | 30 |