Evidence map›Paper›PMID 35527011›Full record

ArticleEnvironmental health and preventive medicine2022

Residential elevation and its effects on hypertension incidence among older adults living at low altitudes: a prospective cohort study.

Wensu Zhou, Wenjuan Wang, Chaonan Fan, Fenfen Zhou, Li Ling

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Article in Environmental health and preventive medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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3citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Wensu ZhouDepartment of Medical Statistics, School of Public Health, Sun Yat-sen University.
Wenjuan WangDepartment of Medical Statistics, School of Public Health, Sun Yat-sen University.
Chaonan FanDepartment of Medical Statistics, School of Public Health, Sun Yat-sen University.
Fenfen ZhouDepartment of Medical Statistics, School of Public Health, Sun Yat-sen University.
Li LingDepartment of Medical Statistics, School of Public Health, Sun Yat-sen University.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundResearch on the relationship between residential altitude and hypertension incidence has been inconclusive. Evidence at low altitudes (i.e., <1,500 m) is scarce, let alone in older adults, a population segment with the highest hypertension prevalence. Thus, the objective of this study is to determine whether hypertension risk may be affected by altitude in older adults living at low altitudes.

methodsThis prospective cohort study collected data from the Chinese Longitudinal Healthy Longevity Survey (CLHLS). We selected 6,548 older adults (≥65 years) without hypertension at baseline (2008) and assessed events by the follow-up surveys done in 2011, 2014, and 2018 waves. The mean altitude of 613 residential units (county or district) in which the participants resided was extracted from the Digital Elevation Model (DEM) of the National Aeronautics and Space Administration (NASA) and was accurate to within 30 m. The Cox regression model with penalized splines examined the linear or nonlinear link between altitude and hypertension. A random-effects Cox regression model was used to explore the linear association between altitude and hypertension.

resultsThe overall rate of incident hypertension was 8.6 per 100-person years. The median altitude was 130.0 m (interquartile range [IQR] = 315.5 m). We observed that the exposure-response association between altitude and hypertension incidence was not linear. The shape of the exposure-response curve showed that three change points existed. Hypertension risk increased from the lowest to the first change point (247.1 m) and slightly fluctuated until the last change point (633.9 m). The risk decreased above the last change point. According to the categories stratified by the change points, altitude was only significantly associated with hypertension risk (hazard ratio [HR] = 1.003; 95% confidence interval [CI] = 1.002-1.005) under the first change point (247.1 m) after adjusting for related covariates.

conclusionOur study found that the association between altitude and hypertension risk might not be linear. We hope the further study can be conducted to confirm the generality of our findings.

Indexed as

AltitudeHypertensionAgedHumansIncidencePrevalenceProspective StudiesAltitudeChinaHypertensionOlder adultsPrevention

Identifiers

PMID35527011
PMCPMC9251620

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