Relations of Demographic and Clinical Factors With Cardiovascular Autonomic Function in a Population-Based Study: An Assessment By Quantile Regression Article Swipe
John Sluyter
,
Alun D. Hughes
,
Carlos A. Camargo
,
Andrew Lowe
,
Robert Scragg
·
YOU?
·
· 2017
· Open Access
·
· DOI: https://doi.org/10.1093/ajh/hpx134
YOU?
·
· 2017
· Open Access
·
· DOI: https://doi.org/10.1093/ajh/hpx134
BACKGROUND The relationships of many factors with cardiovascular autonomic function (CVAF) outcome parameters may not be uniform across the entire distribution of the outcome. We examined how demographic and clinical factors varied with different subgroups of CVAF parameters. METHODS Quantile regression was applied to a cross-sectional analysis of 4,167 adults (56% male; age range, 50–84 years) from 4 ethnic groups (3,419 New Zealand European, 303 Pacific, 227 Maori, and 218 South Asian) and without diagnosed cardiac arrhythmia. Pulse rate variability (root mean square of successive differences (RMSSD) and SD of pulse intervals) and baroreflex sensitivity were response variables. Independent variables were age, sex, ethnicity, brachial and aortic blood pressure (BP) variables, body mass index (BMI), and diabetes. RESULTS Ordinary linear regression showed that age, sex, Pacific and Maori ethnicity, BP variables, BMI, and diabetes were associated with CVAF parameters. But quantile regression revealed that, across CVAF percentiles, the slopes for these relationships: (i) varied by more than 10-fold in several cases and sometimes changed direction and (ii) noticeably differed in magnitude often (by >3–fold in several cases) compared to ordinary linear regression coefficients. For instance, age was inversely associated with RMSSD at the 10th percentile of this parameter (β = −0.12 ms/year, 95% confidence interval = −0.18 to −0.09 ms/year) but had a positive relationship at the 90th percentile (β = 3.17 ms/year, 95% confidence interval = 2.50 to 4.04 ms/year). CONCLUSIONS The relationships of demographic and clinical factors with CVAF parameters are, in many cases, not uniform. Quantile regression provides an improved assessment of these associations.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1093/ajh/hpx134
- https://academic.oup.com/ajh/article-pdf/31/1/53/23651018/hpx134.pdf
- OA Status
- bronze
- Cited By
- 2
- References
- 42
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2742487068
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W2742487068Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1093/ajh/hpx134Digital Object Identifier
- Title
-
Relations of Demographic and Clinical Factors With Cardiovascular Autonomic Function in a Population-Based Study: An Assessment By Quantile RegressionWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2017Year of publication
- Publication date
-
2017-07-15Full publication date if available
- Authors
-
John Sluyter, Alun D. Hughes, Carlos A. Camargo, Andrew Lowe, Robert ScraggList of authors in order
- Landing page
-
https://doi.org/10.1093/ajh/hpx134Publisher landing page
- PDF URL
-
https://academic.oup.com/ajh/article-pdf/31/1/53/23651018/hpx134.pdfDirect link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
bronzeOpen access status per OpenAlex
- OA URL
-
https://academic.oup.com/ajh/article-pdf/31/1/53/23651018/hpx134.pdfDirect OA link when available
- Concepts
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Medicine, Percentile, Quantile regression, Confidence interval, Body mass index, Linear regression, Population, Demography, Regression analysis, Internal medicine, Bayesian multivariate linear regression, Statistics, Cardiology, Mathematics, Environmental health, SociologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
2Total citation count in OpenAlex
- Citations by year (recent)
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2025: 1, 2021: 1Per-year citation counts (last 5 years)
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42Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.cross-sectional | 46 |
| abstract_inverted_index.>3–fold | 174 |
| cited_by_percentile_year.max | 95 |
| cited_by_percentile_year.min | 89 |
| corresponding_author_ids | https://openalex.org/A5026490021 |
| countries_distinct_count | 3 |
| institutions_distinct_count | 5 |
| corresponding_institution_ids | https://openalex.org/I154130895 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/3 |
| sustainable_development_goals[0].score | 0.6800000071525574 |
| sustainable_development_goals[0].display_name | Good health and well-being |
| citation_normalized_percentile.value | 0.16058569 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |