Evidence map›Paper›PMID 31640281›Full record

ArticleInternational journal of environmental research and public health2019

Latent Profiles Based on Light Physical Activity, Sedentary Behavior, Perceived Body Shape, and Body Mass Index in Patients with Dyslipidemia Influence Their Quality of Life.

Saengryeol Park, So-Youn Park, Gapjin Oh, In-Hwan Oh

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 39% of its field
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, 4 citations in OpenAlex.

  1. Article
  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 at 2 institutions in 1 country.

Saengryeol ParkDepartment of Preventive Medicine, School of Medicine, Kyung Hee University, 26, Kyungheedae-ro, Dongdaemun-gu, Seoul 02453, Korea. saengryeol.park@gmail.com.ORCID 0000-0002-4877-9346
So-Youn ParkDepartment of Medical Education and Humanities, School of Medicine, Kyung Hee University, 26, Kyungheedae-ro, Dongdaemun-gu, Seoul 02453, Korea. ukii77@gmail.com.
Gapjin OhDepartment of Sport Marketing, Kyung Dong University, 27, Kyungdong University-ro, Yangju, Gyeonggido 11458, Korea. jim@kduniv.ac.kr.
In-Hwan OhDepartment of Preventive Medicine, School of Medicine, Kyung Hee University, 26, Kyungheedae-ro, Dongdaemun-gu, Seoul 02453, Korea. parenchyme@gmail.com.
Kyung Hee University · KRKyungdong University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite the increasing prevalence and economic burden of dyslipidemia in South Korea, we have little data on the physical activity of patients. Thus, we aimed to investigate how quality of life among patients with dyslipidemia is influenced by a combination of the following variables: light physical activity (PA), sedentary behavior (SB), perceived body shape, and body mass index (BMI). We examined data from the Sixth Korean National Health and Nutrition Examination Survey (KNHANES VI 2015), collected in 2015 by the Korean Centers for Disease Control and Prevention. The analysis included 534 individuals with dyslipidemia out of 7380 survey participants. Latent profile analysis identified three latent classes of individuals based on their physical profiles. Class 1 patients (active;

Indexed as

ExerciseQuality of LifeAdultAgedAged, 80 and overBody ImageBody Mass IndexDyslipidemiasFemaleHumansMaleMiddle AgedNutrition SurveysPrevalenceRepublic of KoreaSedentary Behaviorlatent profile analysisperceived body shapephysical activitysedentary behavior

Identifiers

PMID31640281
PMCPMC6843969
OpenAlexW2980606215

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.