Ferritin levels and risk of metabolic syndrome: meta-analysis of observational studies

Abril-Ulloa, Victoria; Flores-Mateo, Gemma; Solà-Alberich, Rosa; Manuel-y-Keenoy, Begoña; Arija, Victoria

doi:10.1186/1471-2458-14-483

BMC Public Health

Table 1 Cross sectional and cohort studies on Ferritin level and of the Metabolic Syndrome

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
First author Year (Reference number)	Country	Study design	Population	Men (%)	Age years	Sample	Ferritin assay	Metabolic syndrome criteria	Men	Women	*Quality score
Jehn, 2004 [11]	U.S.	Cross-sectional	NHANES III (1988–1994) U.S. Population	48	48	5,949	RIA	NCEP ATPIII	Q1:62^a Q4:318^a	Premenopausal: Q1:11^a Q4:89^a Postmenopausal: Q1:35^a Q4:212^a	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 ± 2^c Without MS: 59 ± 2^c	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 ± 141.1^d Without MS: 66.8 ± 71.8^d		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 ± 90^d	At baseline Premenopausal women: 56 ± 40^d Postmenopausal women: 92 ± 54^d	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 ± 2^f Q4:258 ± 12^f	Q1:17 ± 2^f Q4:131 ± 1^f	32
Kim, 2011 [18]	Korea	Cross-sectional	Healthy volunteers	53	51	7,253	TIA	NCEP ATPIII	176 ± 108^d	75 ± 55^d	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 ± 64^d	-------------	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	Q1:13 [9, 17]^g Q4:90 (75, 114)^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 ± 165^d Without MS: 151 ± 112^d	With MS: 94 ± 75^d Without MS: 61 ± 48^d	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 ± 349^d	119 ± 180^d	27
Li, 2013 [31]	China	Cross-sectional	China Health and Nutrition Survey	47	51	8,441	RIA	NCEP ATPIII modified	Q1:52^a Q4:423^a	Q1:12.9^a Q4:142.7^a	30

EIA, Electrochemiluminescence immunoassay; NIA, Nephelometric immunoassay; NR, not reported; RIA, immunoradiometric assay; TIA, immunoturbidimetric assay. *Quality score of STROBE Statement.
^aMedian of quartile; ^bGeometric mean (95% CI); ^cGeometric mean ± SD; ^dMean ± SD; ^eMean of quartile (minimum-maximum); ^fGeometric mean ± SE; ^gMedian (range); ^hGeometric mean (range).
SD: standard deviation; SE: standard error; CI: confidence interval; MS: metabolic syndrome; Q1: quartile 1; Q4: quartile 4: T1: tertile 1; T3: tertile 3.

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ISSN: 1471-2458

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