Evidence map›Paper›PMID 27139080›Full record

ArticleJournal of behavioral medicine2016

Between-person and within-person approaches to the prediction of ambulatory blood pressure: the role of affective valence and intensity.

Matthew J Zawadzki, Jennifer Mendiola, Eric A Walle, William Gerin

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of behavioral medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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

  1. Pooled it
  2. 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

4 authors.

Matthew J ZawadzkiPsychological Sciences, University of California, Merced, CA, 95343, USA. mzawadzki@ucmerced.edu.
Jennifer MendiolaPsychological Sciences, University of California, Merced, CA, 95343, USA.
Eric A WallePsychological Sciences, University of California, Merced, CA, 95343, USA.
William GerinDepartment of Biobehavioral Health, The Pennsylvania State University, University Park, PA, USA.

Funding

U19 MIDlife in the United States-Diversity Supplement-WellsU19AG051426 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI CHRISTOPHER L COE · 2016 to 2026
$74.8M
STATISTICS COREP01AG020166 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI RYFF, CAROL D. · 2002 to 2015
$50.6M
NIA NIH HHS P01 AG020166NIA NIH HHS U19 AG051426
6 · The paper itself

Abstract

Identifying momentary influences on ambulatory blood pressure (ABP) will help explain ABP variability; however, most research only examines aggregate ABP at the between-person level. This study used within-person methods to examine whether affective dimensions-valence and arousal-differentially predicted momentary ABP levels. A community sample (n = 39) wore an ABP cuff that took BP measurements every 20 min for 24 h. At each measurement, participants reported levels of valence and arousal on electronic diaries. Multilevel modeling was used to examine the effects of momentary and person-averaged levels of valence and arousal on ABP. Greater momentary negative valence and arousal predicted higher systolic BP compared to more positive or lower arousal assessments; higher averaged levels of arousal predicted higher DBP. The results suggest the independence of the effects of valence and arousal on BP. These findings have important implications for designing interventions to lower ABP.

Indexed as

Blood Pressure Monitoring, AmbulatoryInternal-External ControlAdultArousalBlood PressureFemaleHumansHypertensionMaleMiddle AgedAffectAmbulatory blood pressureArousalMultilevel modelingValence

Identifiers

What OpenQuestion holds

Textmetadata
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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.