Evidence map›Paper›PMID 25956273›Full record

ArticleEuropean journal of pediatrics2015

Who is at higher risk of hypertension? Socioeconomic status differences in blood pressure among Polish adolescents: a population-based ADOPOLNOR study.

Maria Kaczmarek, Barbara Stawińska-Witoszyńska, Alicja Krzyżaniak, Małgorzata Krzywińska-Wiewiorowska, Aldona Siwińska

Abstract read
In one paragraph

Article in European journal of pediatrics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
–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

23 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  5. Social, Racial, and Economic Disparities Affecting Outcomes of Hypertensive Adolescents.Journal of clinical hypertension (Greenwich, Conn.) · 2025
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  19. HRQoL impact of stressful life events in children beginning primary school: results of a prospective study in Poland.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2017
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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

5 authors.

Maria KaczmarekDepartment of Human Biological Development, Institute of Anthropology, Faculty of Biology, Adam Mickiewicz University in Poznań, Umultowska 89, 61-614, Poznań, Poland. makac@amu.edu.pl.
Barbara Stawińska-WitoszyńskaDepartment of Epidemiology, Chair of Social Medicine, Poznań University of Medical Sciences, Poznań, Poland. epidemiologia@ump.edu.pl.
Alicja KrzyżaniakDepartment of Epidemiology, Chair of Social Medicine, Poznań University of Medical Sciences, Poznań, Poland. akrzyzan@amp.poznan.pl.
Małgorzata Krzywińska-WiewiorowskaDepartment of Epidemiology, Chair of Social Medicine, Poznań University of Medical Sciences, Poznań, Poland. epidemiologia@ump.edu.pl.
Aldona SiwińskaDepartment of Pediatric Cardiology and Nephrology, Poznań University of Medical Sciences, Poznań, Poland. pedgastro@skp.ump.edu.pl.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

unlabelledIn Poland, there is no data on parental socioeconomic status (SES) as a potent risk factor in adolescent elevated blood pressure, although social differences in somatic growth and maturation of children and adolescents have been recorded since the 1980s. This study aimed to evaluate the association between parental SES and blood pressure levels of their adolescent offspring. A cross-sectional survey was carried out between 2009 and 2010 on a sample of 4941 students (2451 boys and 2490 girls) aged 10-18, participants in the ADOPOLNOR study. The depended outcome variable was the level of blood pressure (optimal, pre- and hypertension) and explanatory variables included place of residence and indicators of parental SES: family size, parental educational attainments and occupation status, income adequacy and family wealth. The final selected model of the multiple multinomial logistic regression analysis (MLRA) with backward elimination procedure revealed the multifactorial dependency of blood pressure levels on maternal educational attainment, paternal occupation and income adequacy interrelated to urbanization category of the place of residence after controlling for family history of hypertension, an adolescent's sex, age and weight status. Consistent rural-to-urban and socioeconomic gradients were found in prevalence of elevated blood pressure, which increased with continuous lines from large cities through small- to medium-sized cities to villages and from high-SES to low-SES familial environments. The adjusted likelihood of developing systolic and diastolic hypertension decreased with each step increase in maternal educational attainment and increased urbanization category. The likelihood of developing prehypertension decreased with increased urbanization category, maternal education, paternal employment status and income adequacy. Weight status appeared to be the strongest confounder of adolescent blood pressure level and, at the same time, a mediator between their blood pressure and parental SES.

conclusionThe findings of the present study confirmed socioeconomic disparities in blood pressure levels among adolescents. This calls for regularly performed blood pressure assessment and monitoring in the adolescent population. It is recommended to focus on obesity prevention and socioeconomic health inequalities by further trying to improve living and working conditions in adverse rural environments.

Indexed as

Health Status DisparitiesSocial ClassAdolescentAdolescent HealthAnthropometryBlood PressureBlood Pressure DeterminationChildCross-Sectional StudiesFemaleHumansHypertensionMaleParentsPolandPrevalenceAdolescenceBMIDiastolic blood pressureFamily sizeIncome adequacyParental education and occupationPlace of residenceSystolic blood pressure

Identifiers

PMID25956273
PMCPMC4623093

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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.