title: Subnormal peripheral blood leukocyte counts are related to the lowest prevalence and incidence of metabolic syndrome: Tianjin chronic low-grade systemic inflammation and health cohort study.
abstract: Few studies have assessed the relationship between a subnormal inflammatory status and metabolic syndrome (MS). We therefore designed a cross-sectional and 5-year cohort study to evaluate how a subnormal peripheral blood leukocyte count is related to MS. Participants were recruited from Tianjin Medical University General Hospital-Health Management Centre. Both a baseline cross-sectional (n = 46,179) and a prospective assessment (n = 13,061) were performed. Participants without a history of MS were followed up for 5 years. Leukocyte counts and MS components were assessed at baseline and yearly during the follow-up. Adjusted logistic and Cox proportional hazards regression models were used to assess relationships between the categories of leukocyte counts and MS. The subnormal leukocyte counts group (1,100-3,900 cells/mm(3)) had the lowest prevalence and incidence of MS. The odds ratio and hazard ratio (95% confidence interval) of the highest leukocyte counts were 1.98 (1.57-2.49) and 1.50 (1.22-1.84) (both P for trend <0.0001), respectively, when compared to the subnormal leukocyte counts group after adjusting for potential confounders. This study has shown that subnormal leukocyte counts are independently related to the lowest prevalence and incidence of MS. The findings suggest that it is necessary to restudy and discuss the clinical or preventive value of subnormal leukocyte counts.
authors.affiliation: Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China.
authors.forename: Shaomei
authors.initials: S
authors.lastname: Sun
authors.affiliation: Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, 22 Qixiangtai Road, Heping District, Tianjin 300070, China.
authors.forename: Hongmei
authors.initials: H
authors.lastname: Wu
authors.affiliation: Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China.
authors.forename: Qing
authors.initials: Q
authors.lastname: Zhang
authors.affiliation: Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China.
authors.forename: Chongjin
authors.initials: C
authors.lastname: Wang
authors.affiliation: Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, 22 Qixiangtai Road, Heping District, Tianjin 300070, China.
authors.forename: Yinting
authors.initials: Y
authors.lastname: Guo
authors.affiliation: Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, 22 Qixiangtai Road, Heping District, Tianjin 300070, China.
authors.forename: Huanmin
authors.initials: H
authors.lastname: Du
authors.affiliation: Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China.
authors.forename: Li
authors.initials: L
authors.lastname: Liu
authors.affiliation: Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China.
authors.forename: Qiyu
authors.initials: Q
authors.lastname: Jia
authors.affiliation: Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China.
authors.forename: Xing
authors.initials: X
authors.lastname: Wang
authors.affiliation: Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China.
authors.forename: Kun
authors.initials: K
authors.lastname: Song
authors.affiliation: Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China ; Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, 22 Qixiangtai Road, Heping District, Tianjin 300070, China.
authors.forename: Kaijun
authors.identifier: 0000-0002-0927-3932
authors.initials: K
authors.lastname: Niu
mesh_terms: D000328:Adult; D002318:Cardiovascular Diseases / Q000097:blood / Q000453:epidemiology; D002681:China / Q000453:epidemiology; D015331:Cohort Studies; D003430:Cross-Sectional Studies; D005260:Female; D006801:Humans; D007249:Inflammation / Q000473:pathology*; D007958:Leukocyte Count; D007962:Leukocytes / Q000166:cytology*; D008297:Male; D024821:Metabolic Syndrome / Q000097:blood* / Q000453:epidemiology; D008875:Middle Aged; D015995:Prevalence; D016016:Proportional Hazards Models; D012016:Reference Values