Literature DB >> 23054993

Reference value and annual trend of white blood cell counts among adult Japanese population.

Sonoko Sakuragi1, Jiro Moriguchi, Fumiko Ohashi, Masayuki Ikeda.   

Abstract

OBJECTIVES: This study was initiated to establish the reference values (the 95 % lower limit in particular) for white blood cell (WBC) counts in peripheral blood of general Japanese population. Additional attempts were made to examine whether the reference range had changed in the past 100 years, and which factors had induced such change in WBC counts.
METHODS: Data employed were WBC counts of >100 thousand apparently healthy Japanese men, collected in 2002 and in 2010, respectively. Information on smoking habits was collected simultaneously.
RESULTS: The distribution of WBC counts was essentially normal. Arithmetic mean (AM) WBC was 6,248 cells/mm(3) in 2002 and 6,162 cells/mm(3) in 2010. Based on the 2010 observation, 3 × 10(3) WBCs/mm(3) (after rounding of the figure) was identified as the 95 % lower limit of the reference value for the population. No clear age dependency was detected. Smoking induced elevation in WBC, whereas WBC returned to the level of never smokers after quitting for 3 or more years.
CONCLUSIONS: Historical review disclosed a secular trend of decrease in WBC in the past 100 years, so that about 8 % of never-smoking men would be considered leukocytopenic according to the conventional cutoff of 4 × 10(3) cells/mm(3) as a screening level. Decreased smoking rates and improved general hygiene are discussed as possible factors for WBC count reduction. Thus, WBC count of 3 × 10(3) cells/mm(3) is recommended as the 95 % lower limit of the reference value for screening cases with reduced WBC counts.

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Year:  2012        PMID: 23054993      PMCID: PMC3590320          DOI: 10.1007/s12199-012-0304-8

Source DB:  PubMed          Journal:  Environ Health Prev Med        ISSN: 1342-078X            Impact factor:   3.674


  24 in total

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Authors:  S Shiga; I Koyanagi; J Ohsaga; S Ichiyama; R Kannagi
Journal:  Rinsho Byori       Date:  1999-03

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Authors:  Hajime Samoto; Yoshinari Fukui; Hirohiko Ukai; Satoru Okamoto; Shiro Takada; Fumiko Ohashi; Jiro Moriguchi; Takafumi Ezaki; Masayuki Ikeda
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Authors:  E Ward; R Hornung; J Morris; R Rinsky; D Wild; W Halperin; W Guthrie
Journal:  Am J Ind Med       Date:  1996-03       Impact factor: 2.214

5.  [Age and sex dependent distribution pattern and normal range of blood cell parameters obtained by automated blood cell analyzer].

Authors:  K Goto; M Yasuno; M Ogura; Y Kobayashi; T Tsukada; T Tango
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6.  Cigarette smoking and peripheral blood leukocyte differentials.

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7.  Predictive value and efficiency of hematology data.

Authors:  R S Galen
Journal:  Blood Cells       Date:  1980

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Authors:  D J Griswold; V D Champagne
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9.  Hematology reference values. Analysis by different statistical technics and variations with age and sex.

Authors:  R Giorno; J H Clifford; S Beverly; R G Rossing
Journal:  Am J Clin Pathol       Date:  1980-12       Impact factor: 2.493

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Authors:  E G Bovill; D E Bild; G Heiss; L H Kuller; M H Lee; R Rock; P W Wahl
Journal:  Am J Epidemiol       Date:  1996-06-01       Impact factor: 4.897

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