Nature prescriptions are gaining popularity as a form of social prescribing in support of sustainable health care. This systematic review and meta-analysis aims to synthesise evidence on the effectiveness of nature prescriptions and determine the factors important for their success. We searched five databases from inception up to July 25, 2021. Randomised and non-randomised controlled studies featuring a nature prescription (ie, a referral or an organised programme, by a health or social professional, to encourage spending time in nature) were included. Two reviewers independently conducted all steps of study selection; one reviewer collected summary data from published reports and conducted the risk of bias assessment. Random-effect DerSimonian-Laird meta-analyses were conducted for five key outcomes. We identified 92 unique studies (122 reports), of which 28 studies contributed data to meta-analyses. Compared with control conditions, nature prescription programmes resulted in a greater reduction in systolic blood pressure (mean difference -4·82 mm Hg [-8·92 to -0·72]) and diastolic blood pressure (mean difference -3·82 mm Hg [-6·47 to -1·16). Nature prescriptions also had a moderate to large effect on depression scores (post-intervention standardised mean difference -0·50 [-0·84 to -0·16]; change from baseline standardised mean difference -0·42 [-0·82 to -0·03]) and anxiety scores (post-intervention standardised mean difference -0·57 [-1·12 to -0·03]; change from baseline standardised mean difference -1·27 [-2·20 to -0·33]). Nature prescriptions resulted in a greater increase in daily step counts than control conditions (mean difference 900 steps [790 to 1010]) but did not improve weekly time of moderate physical activity (mean difference 25·90 min [-10·26 to 62·06]). A subgroup analysis restricted to studies featuring a referring institution showed stronger effects on depression scores, daily step counts, and weekly time of moderate physical activity than the general analysis. Beneficial effects on anxiety and depression scores were mainly provided by interventions involving social professionals whereas beneficial effects on blood pressures and daily step counts were provided mainly by interventions involving health professionals. Most studies have a moderate to high risk of bias. Nature prescription programmes showed evidence of cardiometabolic and mental health benefits and increases in walking. Effective nature prescription programmes can involve a range of natural settings and activities and can be implemented via social and community channels, in addition to health professionals.
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http://dx.doi.org/10.1016/S2542-5196(23)00025-6 | DOI Listing |
BMC Geriatr
December 2024
Department of Pharmacy, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China.
Background: Potentially inappropriate medications (PIMs) can lead to adverse outcomes. This study aimed to investigate the prevalence of PIMs in older Chinese outpatients with heart failure according to the 2019 Beers criteria and the factors associated with PIMs.
Methods: A cross-sectional retrospective study was conducted using electronic medical data during January 1, 2020 to December 31, 2020 from 9 tertiary medical institutions in Chengdu, China.
Pharmacy (Basel)
December 2024
Department of Applied Pharmacy, Faculty of Pharmacy, LV-1007 Riga, Latvia and Institute of Public Health, Riga Stradiņš University, LV-1010 Riga, Latvia.
Background: Valproates are recognized for their significant teratogenic risks, which can lead to physical defects and developmental disorders when used during pregnancy. To mitigate these risks, the Pregnancy Prevention Program (PPP) was developed by European regulators for patients and healthcare professionals (HCPs). Despite the crucial nature of this program, the implementation of the PPP does not appear to be fully effective.
View Article and Find Full Text PDFChin J Nat Med
December 2024
Key Laboratory of Modern Preparation of TCM, Ministry of Education, Jiangxi University of Chinese Medicine, Nanchang 330004, China; State Key Laboratory for the Modernization of Classical and Famous Prescriptions of Chinese Medicine, Nanchang 330096, China; Research and Development Department, Jiangzhong Pharmaceutical Co., Ltd., Nanchang 330004, China. Electronic address:
Essential oils (EOs) are natural, volatile substances derived from aromatic plants. They exhibit multiple pharmacological effects, including antibacterial, anticancer, anti-inflammatory, and antioxidant properties, with broad application prospects in health care, food, and agriculture. However, the instability of volatile components, which are susceptible to deterioration under light, heat, and oxygen exposure, as well as limited water solubility, have significantly impeded the development and application of EOs.
View Article and Find Full Text PDFPain Med
December 2024
Joan and Sanford I. Weill Department of Medicine, Weill Cornell Medicine.
Objective: This study leverages natural language processing techniques to identify specific practices older adults with chronic pain adopt to enhance well-being.
Method: We applied network topic modeling to open-ended survey responses from 683 adults (57% female) who reported experiencing chronic pain in the Midlife in the United States (MIDUS) study, analyzing responses to the question "What do you do to make your life go well?" Structural equation modeling was used to examine the relationships between identified topics and measures of pain interference and prescription pain medication use, adjusting for sociodemographics and well-being indicators.
Results: The analyses revealed twelve key topics, including avoiding stress, maintaining social connections, and practicing spirituality and faith.
SLAS Technol
December 2024
School of science, engineering and environment, University of Salford, United Kingdom. Electronic address:
This study delves into the transformative potential of Machine Learning (ML) and Natural Language Processing (NLP) within the pharmaceutical industry, spotlighting their significant impact on enhancing medical research methodologies and optimizing healthcare service delivery. Utilizing a vast dataset sourced from a well-established online pharmacy, this research employs sophisticated ML algorithms and cutting-edge NLP techniques to critically analyze medical descriptions and optimize recommendation systems for drug prescriptions and patient care management. Key technological integrations include BERT embeddings, which provide nuanced contextual understanding of complex medical texts, and cosine similarity measures coupled with TF-IDF vectorization to significantly enhance the precision and reliability of text-based medical recommendations.
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