Evidence map›Paper›PMID 26417366›Full record

ArticleEXCLI journal2015

Blood pressure percentiles by age and body mass index for adults.

Mostafa Hosseini, Masoud Baikpour, Mahmoud Yousefifard, Mohammad Fayaz, Jalil Koohpayehzadeh, Parisa Ghelichkhani, Hadi Asady, Fereshteh Asgari, Koorosh Etemad, Ali Rafei and 1 more

Abstract read
In one paragraph

Article in EXCLI journal, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Article
  4. Observational
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Observational
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Provisional criteria for the diagnosis of hypertension in pregnancy using home blood pressure measurements.Hypertension research : official journal of the Japanese Society of Hypertension · 2017
    Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Mostafa HosseiniDepartment of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
Masoud BaikpourDepartment of Medicine, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
Mahmoud YousefifardDepartment of Physiology, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
Mohammad FayazDepartment of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
Jalil KoohpayehzadehDepartment of Community Medicine, Iran University of Medical Sciences, Tehran, Iran ; Saveh Medical University, Saveh, Iran ; Center for Disease Control, Ministry of Health and Medical Education, Tehran, Iran.
Parisa GhelichkhaniDepartment of Intensive Care Nursing, School of Nursing and Midwifery, Tehran, University of Medical Sciences, Tehran, Iran.
Hadi AsadyDepartment of Occupational Health Engineering, Faculty of Public Health, Tehran, University of Medical Sciences, Tehran, Iran.
Fereshteh AsgariSaveh Medical University, Saveh, Iran.
Koorosh EtemadSaveh Medical University, Saveh, Iran ; Department of Epidemiology, School of Public Health, Sahid Beheshti University of Medical Sciences, Tehran, Iran.
Ali RafeiSaveh Medical University, Saveh, Iran.
Mohammad Mehdi GouyaSaveh Medical University, Saveh, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since no comprehensive study has been conducted on blood pressure (BP) percentiles established upon nationally representative sample population of adults, the present study aimed to construct the blood pressure percentiles by age, sex and body mass index (BMI) of the subjects. Analyses were based on data collected in 2011 from 8,425 adults aged 25 to 69 years old. Data on demographic characteristics, anthropometric measurements, and blood pressure was recorded for each subject. Linear Regression analysis was used to assess the adjusted relationship of age-sex-specific standard deviation scores of BMI, height, and weight with blood pressure. Four separate models for systolic blood pressure (SBP) and diastolic blood pressure (DBP) of men and women were constructed for BP percentiles according to age and BMI. Blood pressure increased with the rise in BMI and weight, but showed a negative correlation with height. SBP and DBP rose steadily with increasing age, but the rise in SBP was greater than DBP. Overweight and obese population, seem to fall into the category of hypertensive. The findings of present study show that BP percentiles are steadily increased by age and BMI. In addition, most obese or overweight adults are hypertensive.

Indexed as

adultsageBlood pressure percentilebody mass indexnomograms

Identifiers

PMID26417366
PMCPMC4553889

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.