Evidence map›Paper›PMID 40427926›Full record

ArticleInternational journal of environmental research and public health2025

Exploring Sedentary and Nutritional Behaviour Patterns in Relation to Overweight and Obesity Among Youth from Different Demographic Backgrounds in Saudi Arabia.

Anwar Al-Nuaim, Ayazullah Safi

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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

3 citing papers in PubMed.

  1. Article
  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

2 authors.

Anwar Al-NuaimPhysical Education Department, Education College, King Faisal University, Al-Ahsa 31982, Saudi Arabia.
Ayazullah SafiDepartment of Public Health, College of Life Sciences, Birmingham City University, Birmingham B15 3TN, UK.ORCID 0000-0003-0963-8353

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe prevalence of overweight and obesity has increased over the last three decades, becoming a major public health concern. This issue is particularly pressing in terms of the impact it has on the population of the Kingdom of Saudi Arabia (KSA). Thus, the aim of this research was to explore the nutritional and lifestyle habits of youth in the Al-Ahsa region of the KSA.

methodsThis cross-sectional study included a total of 1270 secondary-school boys and girls (15-19 years) from all five of the Al-Ahsa Governorate districts. BMI and waist circumference measurements were recorded using anthropometric measurements, and the lifestyle-Arab Teens Lifestyle Survey (ATLS) was used to measure sedentary and eating habits.

resultsChi-square analysis revealed that a higher proportion of females (90.68%) than males (79.18%) exceeded two hours of daily sedentary time. Frequent sugary drink consumption (>3 times per week) was similar in males (67.40%) and females (66.11%). Students from different geographical locations showed significant differences in exceeding cut-off scores for fast food (χ

conclusionsAl-Ahsa is the largest governorate in the KSA. It has some of the largest health risks regarding obesity and poor lifestyle habits. This study highlights the major need for future research and policy interventions.

Indexed as

Feeding BehaviorObesityOverweightSedentary BehaviorAdolescentCross-Sectional StudiesFemaleHumansLife StyleMaleSaudi ArabiaYoung AdultlifestylenutritionobesityoverweightSaudi Arabiasedentaryyouth

Identifiers

PMID40427926
PMCPMC12111615

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.