Evidence map›Paper›PMID 29376046›Full record

ArticleFrontiers in public health2017

Stages of Biological Development across Age: An Analysis of Canadian Health Measure Survey 2007-2011.

Yi-Sheng Chao, Hsing-Chien Wu, Chao-Jung Wu, Wei-Chih Chen

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Article in Frontiers in public health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

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5citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Embracing non-linearity in human ageing.Nature reviews. Genetics · 2026
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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Yi-Sheng ChaoCentre de recherche du centre hospitalier de l'Université de Montréal (CRCHUM), Université de Montréal, Montréal, QC, Canada.
Hsing-Chien WuTaipei Hospital, Ministry of Health and Welfare, New Taipei City, Taiwan.
Chao-Jung WuDépartement d'informatique, Université du Québec à Montréal, Montréal, QC, Canada.
Wei-Chih ChenDepartment of Chest Medicine Taipei Veterans General Hospital, Taipei, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe stages of biological development are not clearly defined despite the fact that they have been used to refer to concepts such as adolescence and aging. This study aimed to (1) propose and test a framework to search for stages of representative components and determine stages of stability and transition, (2) identify stages of biological development based on health questionnaire and biomarker data, and (3) interpret the major trajectories in a health and biomarker database.

methodsThis study analyzed the data on the Canadian Health Measures Survey (CHMS) interviewees from cycle 1 to 3 (2007-2013) in Canada. We selected 282 variables containing information from questionnaire and on biomarkers after removing redundant variables based on high correlation. Fifty-nine nominal variables were replaced by 122 binominal variables, leaving 345 variables for analysis. Principal component (PC) analysis was conducted to summarize the data and the loadings were used to interpret the PCs. A stable stage was assumed to be the age groups without significantly different values of PCs.

resultsThe CHMS interviewed 16,340 Canadians. Of all, 51.25% were female. The age ranged from 6 to 79 years (mean = 34.41 years, 95% CI = 34.74-34.08). The proportions of total variance explained by the first three PCs were 12.14, 4.03, and 3.19%, respectively. The differences of the first PC were not significant, especially between age 22 and 33, 34 and 40, 41 and 45, 46 and 71, and 72 and 79 years (adjusted DISCUSSION AND

conclusionThere are stages of stability and transition across all age groups based on the first PCs. The first and second PCs are related to physical development and lung function. The identification of stable stages is the first step to understanding how human biology develops in a population perspective and will be important for research that relies on a research population with similar characteristics to draw samples for observation or intervention.

Indexed as

biomarkersCanadian Health Measures Surveylife stagesprincipal component analysisprincipal components

Identifiers

PMID29376046
PMCPMC5768641

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.