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Gardiner P, McGonigal L, Villa A, Kovell LC, Rohela P, Cauley A, Rinker D, Olendzki B. Our Whole Lives for Hypertension and Cardiac Risk Factors (OWL-H)—Combining a Teaching Kitchen Group Visit with an Online Platform: A Feasibility Trial (Preprint). JMIR Form Res 2021; 6:e29227. [PMID: 35576575 PMCID: PMC9152723 DOI: 10.2196/29227] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2021] [Revised: 02/22/2022] [Accepted: 03/01/2022] [Indexed: 11/13/2022] Open
Abstract
Background Hypertension (HTN) affects millions of Americans. Our Whole Lives: an eHealth toolkit for Hypertension and Cardiac Risk Factors (OWL-H) is an eHealth platform that teaches evidence-based lifestyle strategies, such mindfulness and cooking skills, to improve self-management of HTN. Objective The primary goal of this pilot study was to evaluate the feasibility of OWL-H combined with teaching kitchen medical group visits (TKMGVs) in a low-income population of participants with HTN. Methods We conducted a pre-post 8-week study to assess the feasibility of a hybrid program (a web-based 9-module self-management program, which includes mindfulness and Mediterranean and Dietary Approaches to Stop Hypertension diet) accompanied by 3 in-person TKMGVs among patients with HTN. Data including demographics, platform use, and satisfaction after using OWL-H were examined. Outcome data collected at baseline and 8 weeks included the Mediterranean Diet Questionnaire, Hypertension Self-Care Profile Self-Efficacy Instrument, Blood Pressure Knowledge Questionnaire, and the number of self-reported blood pressure readings. For the statistical analysis, we used descriptive statistics, paired sample t tests (1-tailed), and qualitative methods. Results Of the 25 enrolled participants, 22 (88%) participants completed the study. Participants’ average age was 57 (SD 12.1) years, and 46% (11/24) of them reported a household income <US $30,000 per year. Among the 22 participants who logged in to OWL-H, the average number of mindfulness practices completed was 7 and the average number of module sessions accessed was 4. In all, 73% (16/22) of participants reported that they were “very satisfied” with using OWL-H to help manage their HTN. Participants’ blood pressure knowledge significantly increased from baseline (mean 5.58, SD 1.44) to follow-up (mean 6.13, SD 1.23; P=.03). Participants significantly increased their adherence to a Mediterranean diet from baseline (mean 7.65, SD 2.19) to follow-up (mean 9, SD 1.68; P=.004). Participants’ self-efficacy in applying heart-healthy habits, as measured by the Hypertension Self-Care Profile Self-Efficacy Instrument, increased from baseline (mean 63.67, SD 9.06) to follow-up (mean 65.54, SD 7.56; P=.14). At the 8-week follow-up, 82% (18/22) of the participants had self-reported their blood pressure on the OWL-H platform at least once during the 8 weeks. Conclusions The eHealth platform for HTN self-management, OWL-H, and accompanying in-person TKMGVs have the potential to effectively improve lifestyle management of HTN. Trial Registration ClinicalTrials.gov NCT03974334; https://clinicaltrials.gov/ct2/show/NCT03974334
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Affiliation(s)
- Paula Gardiner
- Department of Family Medicine and Community Health, University of Massachusetts Chan Medical School, Worcester, MA, United States
| | - Lisa McGonigal
- Department of Family Medicine and Community Health, University of Massachusetts Chan Medical School, Worcester, MA, United States
| | - Ariel Villa
- Department of Family Medicine and Community Health, University of Massachusetts Chan Medical School, Worcester, MA, United States
| | - Lara C Kovell
- Division of Cardiovascular Medicine, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, United States
| | - Pallavi Rohela
- Department of Family Medicine and Community Health, University of Massachusetts Chan Medical School, Worcester, MA, United States
| | - Andrew Cauley
- Department of Family Medicine and Community Health, University of Massachusetts Chan Medical School, Worcester, MA, United States
| | - Diana Rinker
- Department of Family Medicine and Community Health, University of Massachusetts Chan Medical School, Worcester, MA, United States
| | - Barbara Olendzki
- Department of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, Worcester, MA, United States
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Pratt M, Wieland S, Ahmadzai N, Butler C, Wolfe D, Pussagoda K, Skidmore B, Veroniki A, Rios P, Tricco AC, Hutton B. A scoping review of network meta-analyses assessing the efficacy and safety of complementary and alternative medicine interventions. Syst Rev 2020; 9:97. [PMID: 32354348 PMCID: PMC7191816 DOI: 10.1186/s13643-020-01328-3] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/23/2020] [Accepted: 03/10/2020] [Indexed: 12/11/2022] Open
Abstract
BACKGROUND Network meta-analysis (NMA) has rapidly grown in use during the past decade for the comparison of healthcare interventions. While its general use in the comparison of conventional medicines has been studied previously, to our awareness, its use to assess complementary and alternative medicines (CAM) has not been studied. A scoping review of the literature was performed to identify systematic reviews incorporating NMAs involving one or more CAM interventions. METHODS An information specialist executed a multi-database search (e.g., MEDLINE, Embase, Cochrane), and two reviewers performed study selection and data collection. Information on publication characteristics, diseases studied, interventions compared, reporting transparency, outcomes assessed, and other parameters were extracted from each review. RESULTS A total of 89 SR/NMAs were included. The largest number of NMAs was conducted in China (39.3%), followed by the United Kingdom (12.4%) and the United States (9.0%). Reviews were published between 2010 and 2018, with the majority published between 2015 and 2018. More than 90 different CAM therapies appeared at least once, and the median number per NMA was 2 (IQR 1-4); 20.2% of reviews consisted of only CAM therapies. Dietary supplements (51.1%) and vitamins and minerals (42.2%) were the most commonly studied therapies, followed by electrical stimulation (31.1%), herbal medicines (24.4%), and acupuncture and related treatments (22.2%). A diverse set of conditions was identified, the most common being various forms of cancer (11.1%), osteoarthritis of the hip/knee (7.8%), and depression (5.9%). Most reviews adequately addressed a majority of the PRISMA NMA extension items; however, there were limitations in indication of an existing review protocol, exploration of network geometry, and exploration of risk of bias across studies, such as publication bias. CONCLUSION The use of NMA to assess the effectiveness of CAM interventions is growing rapidly. Efforts to identify priority topics for future CAM-related NMAs and to enhance methods for CAM comparisons with conventional medicine are needed. SYSTEMATIC REVIEW REGISTRATION: https://ruor.uottawa.ca/handle/10393/35658.
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Affiliation(s)
- Misty Pratt
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, 501 Smyth Road, Box 201, Ottawa, Ontario K1H 8 L6 Canada
| | - Susan Wieland
- University of Maryland School of Medicine, Baltimore, MD USA
| | - Nadera Ahmadzai
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, 501 Smyth Road, Box 201, Ottawa, Ontario K1H 8 L6 Canada
| | - Claire Butler
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, 501 Smyth Road, Box 201, Ottawa, Ontario K1H 8 L6 Canada
| | - Dianna Wolfe
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, 501 Smyth Road, Box 201, Ottawa, Ontario K1H 8 L6 Canada
| | - Kusala Pussagoda
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, 501 Smyth Road, Box 201, Ottawa, Ontario K1H 8 L6 Canada
| | - Becky Skidmore
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, 501 Smyth Road, Box 201, Ottawa, Ontario K1H 8 L6 Canada
| | - Argie Veroniki
- Department of Primary Education, School of Education, University of Ioannina, Ioannina, Greece
- Li Ka Shing Knowledge Institute, St Michael’s Hospital, Unity Health Toronto, Toronto, Canada
- Institute of Reproductive and Developmental Biology, Department of Surgery & Cancer, Faculty of Medicine, Imperial College, London, United Kingdom
| | - Patricia Rios
- Li Ka Shing Knowledge Institute, St Michael’s Hospital, Unity Health Toronto, Toronto, Canada
| | - Andrea C. Tricco
- Li Ka Shing Knowledge Institute, St Michael’s Hospital, Unity Health Toronto, Toronto, Canada
- Epidemiology Division, Dalla Lana School of Public Health and Institute for Health Policy, Management, and Evaluation, University of Toronto, Toronto, Canada
| | - Brian Hutton
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, 501 Smyth Road, Box 201, Ottawa, Ontario K1H 8 L6 Canada
- School of Epidemiology and Public Health, University of Ottawa, Ottawa, Canada
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Xiang H, Chen S, Zhang H, Zhu X, Wang D, Liu H, Wang J, Yin T, Liu L, Kong M, Zhang J, Li H, Zhao X. Transcriptome changes provide genetic insights into the effects of rearing systems on chicken welfare and product quality. J Anim Sci 2019; 96:4552-4561. [PMID: 30169713 DOI: 10.1093/jas/sky314] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2018] [Accepted: 07/29/2018] [Indexed: 12/24/2022] Open
Abstract
Farm animals raised under free-range (FR) systems are assumed to have improved welfare and higher-quality products that are better to eat than intensively reared animals. However, the modulations are limited in scientific investigations. In this study, we compared 2 rearing systems (FR and cage) and their effects on chickens, including production performance, product quality, body condition, physiological indicators, and gene expression. By using a match-mismatch design in which each treatment was transferred to the other treatment during the last period of the experiment, we aimed to understand the influence of current and former rearing conditions and the ability of individuals to adapt to the current environment. The results indicated that the FR system led to better chicken welfare (e.g., gait score, feather condition, and physiological indicators, P < 0.05) and contributed to higher product quality (P < 0.05), although it resulted in poorer production performance (P < 0.05) and foot pad condition (P < 0.05) than that of the cage rearing system. Additionally, the FR system triggered a series of inner changes and genetic responses in chickens, such as the upregulation of calcium and GnRH signaling, actin and cytoskeleton regulations, immune functions, and developmental processes, and the downregulation of pathological regulations (q-value < 0.05 for all gene ontology terms and P < 0.05 for all Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways). In conclusion, rearing systems alter chicken gene expression patterns, which provide a genetic basis for the adaptability to rearing environments and ultimately affects chicken welfare and products.
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Affiliation(s)
- Hai Xiang
- School of Life Science and Engineering, Foshan University, Foshan, China.,National Engineering Laboratory for Animal Breeding, Key Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture, College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Siyu Chen
- National Engineering Laboratory for Animal Breeding, Key Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture, College of Animal Science and Technology, China Agricultural University, Beijing, China.,Laboratory of Land Ecology, Field Science Center, Graduate School of Agricultural Science, Tohoku University, Miyagi, Japan
| | - Hui Zhang
- National Engineering Laboratory for Animal Breeding, Key Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture, College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Xu Zhu
- National Engineering Laboratory for Animal Breeding, Key Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture, College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Dan Wang
- National Engineering Laboratory for Animal Breeding, Key Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture, College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Huagui Liu
- Institute of Animal Husbandry and Veterinary Medicine, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
| | - Jikun Wang
- Key Laboratory of Qinghai-Tibetan Plateau Animal Genetic Resource Reservation and Utilization, Ministry of Education, Institute of Qinghai-Tibetan Plateau, Southwest University for Nationalities, Chengdu, China
| | - Tao Yin
- National Engineering Laboratory for Animal Breeding, Key Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture, College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Langqing Liu
- National Engineering Laboratory for Animal Breeding, Key Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture, College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Minghua Kong
- National Engineering Laboratory for Animal Breeding, Key Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture, College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Jian Zhang
- Institute of Animal Husbandry and Veterinary Medicine, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
| | - Hua Li
- School of Life Science and Engineering, Foshan University, Foshan, China
| | - Xingbo Zhao
- School of Life Science and Engineering, Foshan University, Foshan, China.,National Engineering Laboratory for Animal Breeding, Key Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture, College of Animal Science and Technology, China Agricultural University, Beijing, China
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