ArticleElectronic physician2018
Prevalence of health-risk behaviors among teen girls in Southeastern Iran.
Article in Electronic physician, 2018. 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.
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.
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.
Who cites it
2 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.
- Prevalence of hookah smoking among Iranian pupils and university students: An updated systematic review and meta-analysis.The clinical respiratory journal · 2022Pooled it
- Exploring the perceptions of health service providers and adolescents on the utilization of adolescent sexual and reproductive health services in Tikur, 2023: A qualitative study.SAGE open medicine · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundInvestigating female adolescents' health status is essential because of their two-fold role within the health of the community and the impending generations' health.
objectiveThe present study aimed to determine the prevalence of health-risk behaviors among teen girls in Southeastern Iran.
methodsThis cross-sectional study was carried out on a sample of 457 tenth grade female adolescents in four public high schools in Zahedan in Southeastern Iran, in 2015. First, high schools were randomly selected; then, all students in Grade 10 were enrolled in the study through a census. Data were collected using a self-reported questionnaire of the health-risk behaviors with the content validity ratio (CVR) of 0.80, the content validity index (CVI) of 0.88 and Cronbach's α score of 0.71. The Results were analyzed using ANOVA test with SPSS-15.
resultsThe highest prevalence rate of health-risk behaviors of students included: failing to drink natural fruit juice (53.1%), failing to wear a seat belt (43.0%), sitting in a car while the driver is sending message or emails (43.0%), failing to drink milk daily (36.0%), lack of minimum daily physical activity 37.0%, and watching TV more than 3 hours a day (35.0%). On average, the number of health-risk behaviors among under study students was 1.47. Additionally, the ANOVA showed a statistically significant difference in the average number of health-risk behaviors of adolescents in families with high economic status, those who never talked with their parents or those who had physical relations with the opposite sex (p<0.001).
conclusionIt is suggested that attention be paid to emphasizing the pattern of healthy eating, increasing physical activity, and reducing unsafe behaviors in adolescents; moreover, behavioral consultation should be given regarding relationships with the opposite sex. Furthermore, more attention must be paid to the familiar behavior patterns and the relationships in school health programs.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.