ArticleIndian journal of endocrinology and metabolism
Protocol of Randomized Controlled Trial to Evaluate the Effectiveness of Nurse-Led Intervention on Weight Reduction among Adults with Obesity in Urban Areas of Puducherry.
Article in Indian journal of endocrinology and metabolism. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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
5 citing papers in PubMed, 1 synthesis or guideline pooled it, 3 citations in OpenAlex.
- Effectiveness of Telemedicine Nursing Interventions in the Management of Overweight and Obesity in Adults: A Systematic Review and Meta-Analysis.Current obesity reports · 2025Pooled it
- Effectiveness of nurse-led intervention on eating triggers for weight control: a quasi-experimental study.Frontiers in public health · 2026Article
- Article
- Effectiveness of nurse-led intervention on weight reduction among adults in urban Puducherry - A randomized controlled pilot trial.Journal of education and health promotion · 2024Article
- Risk of Eating Disorders between Exercisers and Non-Exercisers among Nursing Personnel: A Cross-Sectional Analytical Study.Current health sciences journalArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: A large percentage of non-communicable diseases are preventable through the reduction of behavioral risk factors which is due to physical inactivity and unhealthy diet. Reducing the burden of obesity is likely to make a substantial impact on mitigating the mortality and morbidity due to non-communicable diseases. This study aims to evaluate the effectiveness of a nurse-led intervention on weight reduction among urban adults. Methods: This trial is a two-arm parallel group randomized controlled trial comparing the intervention arm-nurse-led intervention (NLI, n = 219) with the control arm-general care (GC, n = 219). Participants randomized to the NLI group will receive the interventional package for 12 months which includes health education and motivational strategies during follow-up. Baseline, 6-month and 12-month follow-ups will be conducted to assess primary and secondary outcomes for both arms using the WHO Steps questionnaire. The analysis will use an intention-to-treat approach to examine the change in behavioral and physical and biochemical parameters. Conclusion: The nurse-led intervention aims to provide an evidence-based acceptable and flexible support strategy for weight reduction in obese adults. This will impart healthy life skills to adults and also improve their health status and enable an adult to take charge of their health and this will ultimately prevent or delay non-communicable diseases. Trial Registration: Clinical Trials Registry India, CTRI/2021/12/038785. Registered prospectively with CTRI on 21/12/2021.
Indexed as
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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.