Evidence map›Paper›PMID 34360454›Full record

ArticleInternational journal of environmental research and public health2021

Complementary and Integrative Health Approaches for Weight Management in the Obese Population: The 2018 Korea National Health and Nutrition Examination Survey.

Sang-Dol Kim

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.2field-weighted citation impact, top 48% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. 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

1 author at 1 institution in 1 country.

Sang-Dol KimDepartment of Nursing, College of Health Science, Kangwon National University, 346 Hwangjo-gil, Dogye-eup, Samcheok-si 25949, Kangwon-do, Korea.ORCID 0000-0002-2355-5872
Kangwon National University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

(1) Background: Obesity management has become an important issue due to the COVID-19 outbreak; therefore, periodic surveys on the approaches to obesity management of the entire population and target obese population are required. (2) Methods: The study used nationally representative data from the 2018 Korea National Health and Nutrition Examination Survey. Participants reported all approaches they had used to reduce or maintain weight in the past year. Data were analyzed with multiple response methods. (3) Results: The most commonly reported approach was exercise, which included fitness, yoga, biking, and other physical activities (74.7% of respondents), and the second most commonly reported approach was decreased food intake (69.6% of respondents). The use of approaches differed according to respondents' demographic characteristics. Regarding sex-related differences, in particular, men preferred to exercise, while women were more likely to decrease food intake. Among men, exercise was highest in the 40-49 years age group (48.3%). Among women, decreased food intake was highest in the same age group (16.1%). (4) Conclusions: These findings indicate that it is necessary to introduce individualized weight management approaches and measures according to target groups in obese adults.

Indexed as

COVID-19AdultBody Mass IndexFemaleHumansMaleNutrition SurveysObesityRepublic of KoreaSARS-CoV-2complementary and integrative healthnational health and nutritional examination surveyobesityweight management

Identifiers

PMID34360454
PMCPMC8346132
OpenAlexW3189614375

What OpenQuestion holds

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LicenceCC BY
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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.