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Record W4404868740 · doi:10.25259/ijpp_188_2024

Effectiveness of Rajyoga meditation on cognitive functions and quality of life in young adults with internet addiction

2024· article· en· W4404868740 on OpenAlexaboutno aff
Swati Bansal, Preeti Jain, Reena Tomar, Mahima Kapoor

Bibliographic record

VenueIndian Journal of Physiology and Pharmacology · 2024
Typearticle
Languageen
FieldPsychology
TopicMindfulness and Compassion Interventions
Canadian institutionsnot available
Fundersnot available
KeywordsMeditationAddictionThe InternetCognitionPsychologyClinical psychologyQuality of life (healthcare)Transcendental meditationPsychotherapistPsychiatryComputer scienceWorld Wide Web

Abstract

fetched live from OpenAlex

Objectives: Recently, an increasing trend in the prevalence of internet addiction (IA) has been seen worldwide. IA is found to be associated with impaired cognitive functions, emotional dysregulations and psychological morbidity, warranting the need for appropriate preventive and curative interventional modalities. Nonpharmacological interventions such as meditation may help in positively modifying internet behaviour and combatting its adverse effects on cognitive functions and psycho-social health. The purpose of the study was to assess the influence of Rajyoga meditation (RYM) on cognition and quality of life (QOL) in young adults with IA. Materials and Methods: In the present prospective interventional study, a total of 40 young adults with IA were divided equally into two groups: Control and meditation. Subjects in the meditation group practised RYM for 20 min/day, daily for 8 weeks. Control group subjects received no intervention. Assessments were conducted thrice at the following time points: Before intervention (baseline), after 1 week (T1) and 8 (T2) weeks of intervention. Various assessment tools such as Young’s 20-Item IA Test (YIAT), World Health Organization QOL brief (WHOQOL-Bref) and Montreal cognitive assessment (MOCA) questionnaires were utilised. The statistical analysis was performed using the Statistical Package for the Social Sciences version 25.0 (IBM Corp). Results: Baseline characteristics were similar in both groups. The results revealed significant (P < 0.001) main effects of time for YIAT and MOCA. This effect was further qualified by a significant interaction between time and group for YIAT (P < 0.001). The results further highlighted significant between groups effects in mean scores of YIAT, MOCA (P < 0.01) and WHOQOL-Bref domains 2, 4 (P < 0.01) and domain 3 (P < 0.05) after 8 weeks of intervention. Within the meditation group, a significant increase in mean scores of both MOCA (P < 0.01) and WHOQOL-Bref (P < 0.05) and a significant decrease in mean YIAT (P < 0.001) scores were observed after 8 weeks of intervention. Conclusion: RYM decreased the severity of IA as indexed by YIAT and improved the overall cognitive function and QOL in young adults with IA, as evidenced by MOCA and WHOQOL-Bref, respectively. These findings indicate that RYM was effective in ameliorating the negative effects of IA and can serve as a useful preventive and curative non-pharmacological interventional modality for promoting cognitive and psycho-social well-being in subjects with IA disorder.

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)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

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

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 head0.024
GPT teacher head0.360
Teacher spread0.337 · 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".

Quick stats

Citations2
Published2024
Admission routes1
Has abstractyes

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