Real-world data analysis on effectiveness of integrative therapies: A practical guide to study design and data analysis using healthcare databases

Lee, Ye-Seul; Lee, Yoon Jae; Ha, In-Hyuk

doi:10.1016/j.imr.2023.101000

Cited by 5 publications

(1 citation statement)

References 63 publications

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“…Recently, policymaking according to evidence-based, real-world data (RWD) is increasing ( Cave et al, 2019 ; Kc et al, 2023 ), with RWD finding utility in the integrative medicine field for scrutinizing health outcomes, healthcare utilization, and associated factors ( Lee et al, 2022a ; Lee et al, 2022b ; Lee et al, 2023a ; Lee et al, 2023b ). By analyzing the characteristics and factors of HM users for weight loss, the demographics and variables of individuals who have unmet medical needs within conventional obesity treatment were identified.…”

Section: Introductionmentioning

confidence: 99%

Real-world evidence of characteristics and factors influencing herbal medicine use for weight loss in adults

Lee,

Yang,

Yim

2024

Front. Pharmacol.

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BackgroundObesity imposes a significant socioeconomic burden owing to its high prevalence. In response to the adverse outcomes associated with conventional pharmacotherapy and the challenges of low adherence to lifestyle interventions, herbal medicine has surfaced as an actively utilized approach for weight loss. Therefore, this study aimed to analyze the characteristics and influencing factors of herbal medicine users for weight loss in adults.MethodsOverall, 22,080 participants were included based on data from the Korea National Health and Nutrition Examination Survey from 2010 to 2019. Simple logistic regression analyses were used to derive the associations between herbal medicine use for weight loss and individual characteristics. Three models were constructed utilizing multiple logistic regression analyses to assess the associations between herbal medicine use for weight loss and the combined characteristics of predisposing, enabling, and need factors according to Andersen’s model.ResultsIn the full adjustment model, women, younger adults, those with higher incomes, and individuals reporting higher levels of perceived stress were more prone to use herbal medicine for weight loss in the past year. Adults who identified body image as being fat/very fat, those who consumed alcohol, and those classified as severely obese by body mass index were also more prone to use herbal medicine for weight loss. In particular, adults with a higher rate and amount of weight loss in the past year were more likely to use herbal medicine for weight loss compared to those experiencing weight gain/no changes/loss of 0–3 kg.ConclusionOur study was the first to derive the characteristics and influencing factors of herbal medicine users for weight loss among adults. These findings hold significant promise for informing future research endeavors and policy decision-making for effective resource distribution for obesity treatment.

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