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Opportunities and Challenges From Leading Trends in a Biomonitoring Project: Canadian Health Measures Survey 2007-2017.
Chao, Yi-Sheng; Wu, Chao-Jung; Wu, Hsing-Chien; Hsu, Hui-Ting; Tsao, Lien-Cheng; Cheng, Yen-Po; Lai, Yi-Chun; Chen, Wei-Chih.
Afiliación
  • Chao YS; Independent Researcher, Montreal, QC, Canada.
  • Wu CJ; Département d'informatique, Université du Québec à Montréal, Montreal, QC, Canada.
  • Wu HC; Taipei Hospital, Ministry of Health and Welfare, New Taipei City, Taiwan.
  • Hsu HT; Changhua Christian Hospital, Changhua, Taiwan.
  • Tsao LC; Changhua Christian Hospital, Changhua, Taiwan.
  • Cheng YP; Changhua Christian Hospital, Changhua, Taiwan.
  • Lai YC; National Yang-Ming University Hospital, Yilan, Taiwan.
  • Chen WC; Attending Physician, Department of Chest Medicine, Taipei Veterans General Hospital, Taipei, Taiwan.
Front Public Health ; 8: 460, 2020.
Article en En | MEDLINE | ID: mdl-33014969
ABSTRACT

Background:

Biomonitoring can be conducted by assessing the levels of chemicals in human bodies and their surroundings, for example, as was done in the Canadian Health Measures Survey (CHMS). This study aims to report the leading increasing or decreasing biomarker trends and determine their significance.

Methods:

We implemented a trend analysis for all variables from CHMS biomonitoring data cycles 1-5 conducted between 2007 and 2017. The associations between time and obesity were determined with linear regressions using the CHMS cycles and body mass index (BMI) as predictors.

Results:

There were 997 unique biomarkers identified and 86 biomarkers with significant trends across cycles. Nine of the 10 leading biomarkers with the largest decreases were environmental chemicals. The levels of 1,2,3-trimethyl benzene, dodecane, palmitoleic acid, and o-xylene decreased by more than 60%. All of the 10 chemicals with the largest increases were environmental chemicals, and the levels of 1,2,4-trimethylbenzene, nonanal, and 4-methyl-2-pentanone increased by more than 200%. None of the 20 biomarkers with the largest increases or decreases between cycles were associated with BMI.

Conclusions:

The CHMS provides the opportunity for researchers to determine associations between biomarkers and time or BMI. However, the unknown causes of trends with large magnitudes of increase or decrease and their unclear impact on Canadians' health present challenges. We recommend that the CHMS plan future cycles on leading trends and measure chemicals with both human and environmental samples.
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Benceno / Monitoreo Biológico Tipo de estudio: Prognostic_studies País/Región como asunto: America do norte Idioma: En Revista: Front Public Health Año: 2020 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Benceno / Monitoreo Biológico Tipo de estudio: Prognostic_studies País/Región como asunto: America do norte Idioma: En Revista: Front Public Health Año: 2020 Tipo del documento: Article