Evidence map›Paper›PMID 32995336›Full record

ArticleJournal of lifestyle medicine2020

Determining the Cut Off Score of the Healthy Lifestyle Screening Tool among High School Students.

Carmela Jeanette Borillo, Jerre Mae Tamanal, Cheong Hoon Kim

Abstract read
In one paragraph

Article in Journal of lifestyle medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Carmela Jeanette BorilloDepartment of Addiction Science, College of Health Science and Social Welfare, Sahmyook University Graduate School, Seoul, Korea.
Jerre Mae TamanalDepartment of Addiction Science, College of Health Science and Social Welfare, Sahmyook University Graduate School, Seoul, Korea.
Cheong Hoon KimDepartment of Addiction Science, College of Health Science and Social Welfare, Sahmyook University Graduate School, Seoul, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSeveral lifestyle factors such as not smoking, drinking alcohol in moderation, eating healthily, regular exercise, and maintaining a normal weight have been known to play an important role in optimal health. A screening tool that has a standardized score that indicates healthy or risky lifestyle behaviors is needed for health promotion. However, such a tool that focuses on lifestyle behaviors have not incorporated scores to summarize the results. The purpose of this study is to develop the cut-off points of the Healthy Lifestyle Screening tool.

methodsData collection in this study was done from 198 Filipino high school students utilizing the Healthy Lifestyle Screening Tool.

resultsReceiver Operating Curve (ROC) results indicated cut-off score of 98 to separate into low and high score groups. The mean scores for all subcomponents were significantly different in between two groups. The general population fell in the high score category with a mean total score of 105.61 in which 81.31% were categorized in the high score group and 18.61% in the low score group. Subjects in general obtained low mean scores in specific subscale components such as rest (2.46) water (2.66) and exercise (2.78).

conclusionIncreasing the total score by working on low scoring components will be beneficial in achieving a healthy lifestyle. This study reinforced the importance of holistic approach regarding health and well-being among high school students.

Indexed as

Health promotionHealthy lifestyleLifestyle assessmentPhilippinesScreening toolTotal score

Identifiers

PMID32995336
PMCPMC7502896

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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.