Mapping the citation network on vitamin D research in Australia: a data-driven approach.

Australia citation network analysis data-driven approach literature map vitamin D

Journal

Frontiers in medicine
ISSN: 2296-858X
Titre abrégé: Front Med (Lausanne)
Pays: Switzerland
ID NLM: 101648047

Informations de publication

Date de publication:
2023
Historique:
received: 27 09 2023
accepted: 13 11 2023
medline: 13 12 2023
pubmed: 13 12 2023
entrez: 13 12 2023
Statut: epublish

Résumé

Vitamin D research can vary geographically, as vitamin D status is influenced by latitude, season, dietary intake, body mass index, ethnicity, and public health initiatives. Over the last two decades, research on vitamin D has increased in Australia, where the potential for sun exposure (a major source of vitamin D) is high. We aimed to identify key topics and gaps in vitamin D research in Australia using a data-driven approach. A literature search limited to Australian studies was conducted in the Web of Science Core Collection database. Citation network analysis was conducted to identify clusters and sub-clusters, depicted using word clouds. Topic analysis of each cluster and sub-cluster was conducted to identify topics and sub-topics, respectively. From 934 publications (over the period 1984-2022), nine topics and 60 sub-topics were identified. The nine topics were: vitamin D in vulnerable populations and its impact on child development; impact of sun exposure and ultraviolet-B radiation on various health conditions; vitamin D and falls and fractures in older adults; vitamin D and its association with health outcomes; vitamin D from sun exposure; testing of vitamin D status in Australia; vitamin D, calcium, and musculoskeletal health; vitamin D status and knee osteoarthritis; and vitamin D status and exercise performance in athletes. There were limited publications on vitamin D in Aboriginal and Torres Strait Islander peoples and dietary vitamin D. We have provided an overview of vitamin D research in Australia. The research trends and knowledge gaps identified can guide future research to better inform public health initiatives in Australia.

Identifiants

pubmed: 38089880
doi: 10.3389/fmed.2023.1298190
pmc: PMC10713817
doi:

Types de publication

Systematic Review

Langues

eng

Pagination

1298190

Informations de copyright

Copyright © 2023 Neo, Qu, Dunlop, Shepherd, Walsh, Cherbuin and Black.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. The author(s) declared that they were an editorial board member of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision.

Auteurs

Belinda Neo (B)

Curtin Medical School, Curtin University, Bentley, WA, Australia.

Xiaochen Qu (X)

Curtin School of Population Health, Curtin University, Bentley, WA, Australia.

Eleanor Dunlop (E)

Curtin School of Population Health, Curtin University, Bentley, WA, Australia.
Institute for Physical Activity and Nutrition (IPAN), School of Exercise and Nutrition Sciences, Deakin University, Burwood, VIC, Australia.

Carrington Shepherd (C)

Curtin Medical School, Curtin University, Bentley, WA, Australia.
Telethon Kids Institute, The University of Western Australia, Nedlands, WA, Australia.
Ngangk Yira Research Institute for Change, Murdoch University, Murdoch, WA, Australia.

Erin I Walsh (EI)

Population Health Exchange, National Centre for Epidemiology and Population Health, Australian National University, Canberra, ACT, Australia.

Nicolas Cherbuin (N)

Department of Health Economics Wellbeing and Society, National Centre for Epidemiology and Population Health, Australian National University, Canberra, ACT, Australia.

Lucinda J Black (LJ)

Curtin School of Population Health, Curtin University, Bentley, WA, Australia.
Institute for Physical Activity and Nutrition (IPAN), School of Exercise and Nutrition Sciences, Deakin University, Burwood, VIC, Australia.

Classifications MeSH