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Record W7151708068

Mokyklos amžiaus vaikų sveikata ir gyvenimo būdas Telanganoje, Indijoje

2021· dissertation· en· W7151708068 on OpenAlexaboutno aff
Rohith Odela

Bibliographic record

VenueLithuanian University of Health Sciences · 2021
Typedissertation
Languageen
FieldHealth Professions
TopicSchool Health and Nursing Education
Canadian institutionsnot available
Fundersnot available
KeywordsPublic healthHealth educationSchool healthRural areaHealth promotionLithuanianHealth behaviorFamily health
DOInot available

Abstract

fetched live from OpenAlex

Rohith Odela. Health and lifestyle behavior of school aged children in Telangana, India: Master thesis /Supervisor prof. L. Šumskas, Department of Preventive Medicine, Medical Academy, Lithuanian University of health Sciences. – Kaunas, 2021. – 48 p. Purpose: To analyze the health profile and lifestyle of school-age children in Telangana, India. Objectives: Analysis of health status (nutrition, low physical activity, smoking, alcohol use and sexually explicit health screening; comparing and evaluating school children 's health in urban and rural schools in Telangana. . Methods: Health behavioral data analyzed below were collected from a school-based, segregated, anonymous study conducted April-May 2021 at 2 different schools in Telangana (India). A sample of learners covered Grade 6 to 10 learners (5 classes) in one public school in a rural area (n = 150) and in one private school (n = 150) in an urban area. A total of 300 students aged 13 to 17 participated in the study. Question forms are provided to students. The respondent's method of completing the questionnaires was recently explained. The questionnaire contained 41 questions about respondents with information about people (gender, age, place of residence) and health behavior - perceived health, illness and health complaints, unhealthy behavior (smoking, alcohol) eating habits, exercise, leisure time, injury behavior, family and peer relationships, school-related behavior. Results: Most school children from Telangana State, India, aged 13-17 years reported good health and oral health. . "Eating breakfast every school day" was common only for 7.5% boys and 42.8% girls (p <0.05). 82.1% of boys and 83.0% of girls ate vegetables daily (p> 0.05). In comparison, girls ate fresh fruit daily Eating breakfast was only 41.4 boys and 49.8% girls (p <0.05), that 82.1% boys and 83.0% girls ate vegetables daily (p> 0.05). Overall, boys reported eating fruit more often than girls (22.2% VS. 33.7%, respectively, p <0.05). The boys reported high consumption of sweets and also showed high daily consumption of cold drinks (p <0.05). The data showed that boys were more active than girls. Only a small percentage of schoolboys and girls reported smoking and drinking in Telangana. Comparison of the behavior of students aged 13-17 years in Telangana with seven selected HBSC countries (Lithuania, Sweden, the Netherlands, Portugal, Ireland, Canada, and Denmark) showed that there was little difference between school students in Telangana and HBSC countries. Conclusions: A general health behavior profile for 13–17-year-old children in Telangana, India, presented by this study. A small percentage of weekly alcohol and smoking users are established among Telangana students. Very small differences have been observed between Telangana school students and students in seven HBSC countries (2018 survey data are compared).

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.057
Threshold uncertainty score0.190

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0570.016

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.069
GPT teacher head0.421
Teacher spread0.352 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2021
Admission routes1
Has abstractyes

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