Evidence map›Paper›PMID 40718593›Full record

ArticleIntegrative medicine research2025

Perspectives and dietary management of excess weight in polycystic ovary syndrome: A focus group study with clinicians of traditional Indian medicine.

Vibhuti S Rao, Sabrina Gupta, Mike Armour, Birinder S Cheema, Caroline A Smith, Lisa Moran, Vandana Baranwal, Carolyn Ee

Abstract read
In one paragraph

Article in Integrative medicine research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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0cells of the map it votes in
2citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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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

8 authors.

Vibhuti S RaoNICM Health Research Institute, Western Sydney University, Penrith, Australia.
Sabrina GuptaSchool of Psychology and Public Health, La Trobe University, Melbourne, Australia.
Mike ArmourNICM Health Research Institute, Western Sydney University, Penrith, Australia.
Birinder S CheemaNICM Health Research Institute, Western Sydney University, Penrith, Australia.
Caroline A SmithNICM Health Research Institute, Western Sydney University, Penrith, Australia.
Lisa MoranMonash Centre for Health Research and Implementation, Monash University, Clayton, Australia.
Vandana BaranwalAyurvedatri, Columbus, USA.
Carolyn EeNICM Health Research Institute, Western Sydney University, Penrith, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Women with polycystic ovary syndrome (PCOS) use traditional medicines such as Ayurveda (traditional Indian medicine) to manage their symptoms. Dietary and lifestyle advice is one of the major components of Ayurveda treatment, however, it remains unexplored. This study aimed to understand the perspectives of Ayurveda clinicians regarding PCOS and excess weight, and its management through diet and lifestyle. Methods: A qualitative methodology was implemented using online focus group discussion. The data were transcribed verbatim and analysed using content analysis. Ayurveda clinicians who fulfilled the predefined eligibility criteria were included. Results: Ten eligible Ayurveda clinicians participated in the focus group. Five categories with relevant sub-categories were identified: characteristics of women visiting Ayurveda clinicians; Ayurveda clinical toolkit for understanding clinical presentations; Ayurveda dietary approach to managing excess weight; advice related to dietary adjustments; and advice related to eating and lifestyle behaviours. Overall, most clinicians agree that an Ayurveda dietary approach is personalized, and tailored to the health needs, primarily based on Ayurveda assessment and the clinical presentation of an individual with PCOS and excess weight. Conclusion: Consistent with 'Recommendations from the 2023 international evidence-based guideline for the assessment and management of PCOS' Ayurveda clinicians advocate for a cultural-specific, lifelong healthy lifestyle for optimum management of PCOS beyond weight reduction. Ayurveda lifestyle counselling provides extensive insights into holistic food and lifestyle practices that individuals may adapt to their day-to-day lives. Further research may utilize consensus methods to explore potential dietary interventions and assess their effectiveness and adaptability in women with PCOS.

Indexed as

AyurvedaDietFocus groupPolycystic ovary syndromeWeight management

Identifiers

PMID40718593
PMCPMC12296491

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Registered trials

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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.