{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,23]],"date-time":"2026-09-23T16:41:55Z","timestamp":1790181715986,"version":"4.1.0"},"reference-count":26,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2024,12,20]],"date-time":"2024-12-20T00:00:00Z","timestamp":1734652800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Public Health"],"abstract":"<jats:p>In this study, the present status of the public health and wellness sector in China is examined. The main objective is to evaluate the financial risk among publicly listed companies in the sector. Despite the significant expansion of the industry, research in this domain remains limited. Moreover, it frequently lacks depth, especially when it comes to financial studies designed especially for publicly traded companies. Current models for assessing corporate financial risk are frequently applied in diverse industries without necessary adjustments. Therefore, this study examines the financial performance and operational health of five publicly listed anonymized companies between 2020 and 2023. Using an efficient methodology that includes reliable data collection and quality assurance, we analyze key performance indicators such as annual revenues, liquidity ratios, and debt-to-equity ratios to assess financial stability and growth potential. Our findings reveal varied revenue trends shaped by external market shocks such as the COVID-19 pandemic. These trends highlight both the resilience of the sector and its vulnerabilities. To evaluate potential financial risks and outliers, the abnormal revenue patterns are also identified using Z-score. Benchmarking is also conducted using industry averages which provides a clearer understanding of competitive positioning. Several suggestions are made in light of the analysis to manage debt, increase liquidity, and leverage digital transformation for long-term growth. Several future directions are also presented to continue research in the domain. Overall, this study offers valuable information for stakeholders navigating the complexities of the public health and wellness industry in China.<\/jats:p>","DOI":"10.3389\/fpubh.2024.1508389","type":"journal-article","created":{"date-parts":[[2024,12,20]],"date-time":"2024-12-20T06:30:37Z","timestamp":1734676237000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":2,"title":["Financial assessment and diagnosis of abnormal data of listed companies in public health and wellness industry"],"prefix":"10.3389","volume":"12","author":[{"given":"Xiao","family":"Liu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yanhong","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shengnan","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1965","published-online":{"date-parts":[[2024,12,20]]},"reference":[{"key":"B1","first-page":"626","article-title":"The Xinhua News Agency. Xi Jinping sent a message of condolences to French President Emmanuel Macron on the COVID-19 outbreak in France[EB\/OL]","volume":"36","author":"Wenhai","year":"2022","journal-title":"Chinese Ment Health J"},{"key":"B2","author":"Li","year":"","journal-title":"Deeply understanding the logical path of \u201chuman health community"},{"key":"B3","doi-asserted-by":"publisher","first-page":"45","DOI":"10.12783\/dtssehs\/icesd2017\/11682","article-title":"Research on enterprise financial risk control in the \u201cinternet plus\u201d era","volume":"2","author":"Fang","year":"2020","journal-title":"Account Learn"},{"key":"B4","doi-asserted-by":"publisher","first-page":"56","DOI":"10.1061\/9780784483237.085","article-title":"Research on financial risk warning of listed real estate enterprises based on factor analysis","volume":"9","author":"Ou","year":"2018","journal-title":"Soc Scient"},{"key":"B5","doi-asserted-by":"publisher","first-page":"374","DOI":"10.1016\/j.jfineco.2007.01.005","article-title":"Inter-firm linkages and the wealth effects of financial distress along the supply chain","volume":"87","author":"Hertzel MG Li","year":"2008","journal-title":"J Financ Econ"},{"key":"B6","doi-asserted-by":"publisher","first-page":"77","DOI":"10.2307\/2490171","article-title":"Financial ratio as predictors of failure","volume":"4","author":"Beaver","year":"1966","journal-title":"J Account Res"},{"key":"B7","volume-title":"Fundamentals of Corporate Finance","author":"Westerfield","year":"1995"},{"key":"B8","doi-asserted-by":"publisher","first-page":"77","DOI":"10.1007\/BF02755985","article-title":"Predicting corporate financial distress: reflections on choice-based sample bias","volume":"26","author":"Marjorie","year":"2002","journal-title":"J Econ Finance"},{"key":"B9","doi-asserted-by":"publisher","first-page":"2625","DOI":"10.4028\/www.scientific.net\/AMR.989-994.2625","article-title":"The research of financial risk warning model about real estate enterprises in China","volume":"989","author":"Tian","year":"2014","journal-title":"Adv Mat Res"},{"key":"B10","first-page":"21","article-title":"On financial risk","volume":"4","author":"Xiang","year":"1994","journal-title":"Account Res"},{"key":"B11","doi-asserted-by":"publisher","first-page":"166","DOI":"10.2308\/acch-10264","article-title":"Causes and prevention strategies of financial risks in enterprises","volume":"4","author":"Zhang","year":"2020","journal-title":"Account Res"},{"key":"B12","doi-asserted-by":"publisher","first-page":"190","DOI":"10.1056\/NEJM198611273152231","article-title":"The causes and prevention strategies of financial risks in enterprises","volume":"3","author":"Tang","year":"2021","journal-title":"Modern Bus"},{"key":"B13","doi-asserted-by":"publisher","first-page":"18","DOI":"10.25236\/busem.2017.02","article-title":"Research on enterprise financial risk management and control","volume":"2","author":"Zhang","year":"2021","journal-title":"China Manage Inf"},{"key":"B14","doi-asserted-by":"publisher","year":"2024","journal-title":"Sustain Dev","DOI":"10.1002\/sd.3172"},{"key":"B15","doi-asserted-by":"publisher","first-page":"62","DOI":"10.1109\/ICITBS.2018.00142","article-title":"Research on enterprise financial risk assessment based on big data","volume":"3","author":"Liu","year":"2019","journal-title":"Manag Serv Sci"},{"key":"B16","doi-asserted-by":"publisher","first-page":"50","DOI":"10.1109\/TBME.2006.876623","article-title":"Financial risk assessment model based on principal component analysis","volume":"21","author":"Zheng","year":"2018","journal-title":"Jiangsu Commer Forum"},{"key":"B17","author":"Brigham","year":"1998","journal-title":"Financial Management; Theory and Practice (Book and diskette package)"},{"key":"B18","author":"Koller","year":"2010","journal-title":"Valuation: Measuring and Managing the Value of Companies"},{"key":"B19","doi-asserted-by":"publisher","first-page":"eadn7053","DOI":"10.1126\/sciadv.adn7053","article-title":"Anonymization: The imperfect science of using data while preserving privacy","volume":"10","author":"Gadotti","year":"2024","journal-title":"Sci Adv"},{"key":"B20","doi-asserted-by":"publisher","first-page":"2600","DOI":"10.1287\/mnsc.2021.4028","article-title":"Implications of data anonymization on the statistical evidence of disparity","volume":"68","author":"Xu","year":"2022","journal-title":"Manage Sci"},{"key":"B21","doi-asserted-by":"publisher","first-page":"627","DOI":"10.1197\/jamia.M2716","article-title":"Protecting privacy using k-anonymity","volume":"15","author":"El Emam","year":"2008","journal-title":"J Am Med Inform Assoc"},{"key":"B22","doi-asserted-by":"publisher","first-page":"e267","DOI":"10.1371\/journal.pmed.0020267","article-title":"Data cleaning: detecting, diagnosing, and editing data abnormalities","volume":"2","author":"Van den Broeck","year":"2005","journal-title":"PLoS Med"},{"key":"B23","doi-asserted-by":"publisher","first-page":"270","DOI":"10.1177\/1094428112470848","article-title":"Best-practice recommendations for defining, identifying, and handling outliers","volume":"16","author":"Aguinis","year":"2013","journal-title":"Organ Res Methods"},{"key":"B24","doi-asserted-by":"publisher","first-page":"73","DOI":"10.1002\/widm.2","article-title":"Robust statistics for outlier detection","volume":"1","author":"Rousseeuw","year":"2011","journal-title":"Data Mining Knowl Disc"},{"key":"B25","volume-title":"Data Quality: The Field Guide","author":"Redman","year":"2001"},{"key":"B26","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1080\/07421222.1996.11518099","article-title":"Beyond accuracy: what data quality means to data consumers","volume":"12","author":"Wang","year":"1996","journal-title":"J Manag Inf Syst"}],"container-title":["Frontiers in Public Health"],"original-title":[],"link":[{"URL":"https:\/\/www.frontiersin.org\/articles\/10.3389\/fpubh.2024.1508389\/full","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,12,20]],"date-time":"2024-12-20T06:30:40Z","timestamp":1734676240000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.frontiersin.org\/articles\/10.3389\/fpubh.2024.1508389\/full"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12,20]]},"references-count":26,"alternative-id":["10.3389\/fpubh.2024.1508389"],"URL":"https:\/\/doi.org\/10.3389\/fpubh.2024.1508389","relation":{},"ISSN":["2296-2565"],"issn-type":[{"value":"2296-2565","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,12,20]]},"article-number":"1508389"}}