Scam Alert 2022 !! Best Health Keto UK Reviews – Negative Side Effects or Safe Diet Pills? Is £39.76 Worthy for “Best Health Keto United Kingdom” Customers? Read This Before Buy v1

Best Health Keto UK Reviews is an all-natural weight loss formula and it works in an efficient way to promote weight loss and burn off stubborn fat cells. Best Health Keto works by allowing your body to enter into the ketosis process. Must See: Visit the Official Site of Best Health Keto [Up to 70% Discount Available Here]

Mapping Research Trends of mHealth-Based Weight Management from 2010 to 2020: A Bibliometric Analysis (Preprint)

BACKGROUND Obesity and overweight have become major public health issues worldwide. mHealth is considered a potential novel strategy to intervene in overweight and obesity. The number of mHealth applications is currently large and growing rapidly, but the mechanisms and effects of their influence on users' health behaviors have not been fully elucidated. OBJECTIVE A systematic review of research on the application of mHealth to promote weight loss behaviors over the past 10 years is presented to understand the global progress of research findings on mHealth for weight loss and to deepen the systematic and comprehensive understanding of the field. METHODS A systematic review was conducted using 9 databases as search platforms. All published studies on the application of mHealth to promote weight loss between 2010 and 2020 were retrieved. The data obtained from these published studies were cleaned and structured. Excel (Microsoft Corp), VOSviewer (Nees Jan van Eck and Ludo Waltman) and the bibliometrix package in R were used to perform bibliometric analysis of publication trends, authorship, and research hot spots. RESULTS A total of 1900 articles were obtained during the initial screening, and 1561 articles were found to meet the study criteria after manual screening. We found that the number of publications is increasing rapidly, with an average annual growth rate of 20.84. A total of 7326 authors published in 613 different journals and conferences, and 39% of the articles were published in 20 core journals, including JMIR mHealth and uHealth, BMC Public Health, and Journal of Medical Internet Research. Among them, JMIR mHealth and uHealth was far ahead of the other journals in terms of growth rate and volume of publications. Among all authors, the largest number of authors were from the United States and Australia. There were 10 top authors with more than 15 total publications. The key themes of research were divided into 3 broad categories (population, behavior and interventions), and the focus of research gradually shifted over the decade from exploring the theoretical basis of mHealth to how to facilitate its application, with community information services and fitness and exercise mHealth applications as emerging and under-researched topics within the field. CONCLUSIONS In terms of overall trends, research on the application of mHealth to promote weight loss is of great interest, and a relatively popular subfield is the study of mHealth for exercise and fitness. From the research content, it was found that the effect of a single exercise intervention at the individual level is limited, and there is a need to explore multidimensional and effective intervention models for individuals, families, and society, starting with diversified health behaviors such as nutritional support and health monitoring.

P–787 Impact of delaying ART to promote weight loss: a large multicentre study accounting for the combined effect of female/male age and body mass index (BMI)

Study question Is postponing the start of ART (to promote a reduction in female BMI) beneficial for cumulative live birth rates (CLBR) when accounting for the female/male ageing this delay will cause? Summary answer Postponing ART treatment in one year to promote female weight loss could be detrimental in women of advanced maternal age (AMA, >35 years-old). What is known already Overweight/obese couples are frequently encouraged to lose weight prior to infertility treatment to enhance ART outcomes. However, a meaningful weight loss is often difficult to achieve for these couples, frequently taking at least one year to accomplish. Given that both female and male ageing are also important for ART success, we were interested in understanding the combined impact on CLBR of BMI reduction and ageing following a one-year delay. Study design, size, duration A retrospective study including patients performing their first ART cycle using autologous gametes between 2013–2018 in one of 39 participating ART centres. Only GnRH antagonist cycles were included (n = 14260). CLBR was the primary outcome. Secondary outcomes included time-to-pregnancy, birthweight and gestational age. Participants/materials, setting, methods Patients were subdivided according to female BMI (Kg/m2) in either underweight (<18.5), normal-weight (18.5–24.9), overweight (BMI 25.0–29.9 kg/m2) and obese (≥30 kg/m2). Meaningful and extreme weight loss were defined as a reduction from obesity to either overweight or normal-weight, respectively. We performed multivariable regression analysis to account for potential confounding. Main results and the role of chance Overweight (36.8%) and obese (33.0%) women had significantly lower CLBR when compared to the underweight (42.6%) and normal-weight (41.4%). When assessing the confounder-adjusted net-effect of male/female age and BMI, the predicted benefit of promoting a meaningful BMI reduction was lower than the estimated hindrance due to male/female ageing as soon as women reached AMA (n = 8365, 58.6%). This absence of benefit was especially important in women >38 years-old, in which even extreme weight-loss did not compensate for the age-related reduction in CLBR caused by the one-year delay. Moreover, male weight-loss failed to provide any additional benefit when accounted for in the regression models. Finally, obesity was also associated with a modest but statistically significant one-month delay in time-to-pregnancy and a 96.1 g (95% confidence interval: 39.9–152.4) increase in birth weight. The diagram of predicted outcomes presented in this study may serve as a useful tool to counsel patients before treatment, namely when recommending treatment postponement to promote short-term (i.e. 3–6 months) or long-term (i.e. 1 year) weight loss. Limitations, reasons for caution Caution is recommended when extrapolating these results into everyday practice owing to the retrospective nature of the study and the fact that only GnRH antagonist cycles were included. Wider implications of the findings: Patients are frequently confronted with the dilemma to either postpone treatment (and promote weight loss) or start treatment immediately (to avoid further ageing). Our results seem to show that women in AMA may have hindered CLBR if recommended to delay treatment even if the desired weight loss is ultimately achieved. Trial registration number Not applicable

Use of a Smartphone Application versus Motivational Interviewing to Increase Walking Distance and Weight Loss in Overweight/Obese Adults with Peripheral Artery Disease: A Pilot Randomized Trial (Preprint)

BACKGROUND Walking therapy improves functional outcomes in peripheral artery disease (PAD). Less is known about the additive benefit of a dietary intervention. OBJECTIVE Our objective was to explore the efficacy of a smartphone application (App) versus motivational interviewing (MI) to increase walking distance and promote weight loss in overweight/obese adults with PAD. METHODS We conducted a 3-month, 2-arm randomized pilot study at the University of Kansas. Participants had a body mass index (BMI) > 27 kg/m2 and symptomatic PAD, defined by an ankle-brachial index (ABI) < 0.9. Patients were randomized into two groups: 1) MI, delivered through in-person and telephone counseling, or 2) App, a mobile smartphone application. Both interventions encouraged walking for exercise and and healthy dietary habits (increasing fruits and vegetables as well as whole grains while reducing fat and sugary drinks). We assessed medical history at baseline. At baseline and 3 months, participants completed a BMI assessment, 6-minute walking distance, dietary habits, quality of life, and exercise behaviors. The primary outcome was 3-month change in walking distance. Secondary outcomes were changes in BMI, and quality of life. RESULTS We randomized 29 participants with a mean age of 66.03 (SD 8.12) years. At baseline, mean walking distance was 283.48 meters (SD 70.18) and 320.66 meters (SD 70.46) for MI and App participants, respectively. At three months, the mean walking distance was 333.77 meters (SD 50.63) and 323.16 meters (SD 55.06) for MI and App participants, respectively (p-value = 0.05, adjusting for baseline). At baseline, mean body weight was 248.87 lbs. (SD 55.78) and 226.74 lbs. (SD 61.86) for MI and App participants, respectively. At three months, mean body weight was 233.83 (SD 48.27) and 225.18 (SD 62.46) for MI and App, respectively (p < 0.01, adjusting for baseline). CONCLUSIONS Our study demonstrates that MI can promote weight loss in overweight/obese adults with PAD. There was no statistically significant increase in walking distance with the use of MI or a smartphone App in overweight/obese adults with PAD. Future large-scale studies are needcd to determine the efficacy of MI to promote weight loss in overweight or obese adults with PAD. CLINICALTRIAL The clinical trial registration for this study is NCT03694652 (https://clinicaltrials.gov/).

The cost-effectiveness of a mass media campaign to promote smartphone apps for weight loss: an updated modeling study (Preprint)

UNSTRUCTURED Background Evidence suggests that smartphone apps can be effective in the self-management of weight. Given the low cost, broad reach, and apparent effectiveness of apps at promoting weight loss, governments may seek to encourage the uptake of such apps as an opportunity for reducing excess weight among the population. However, the cost and potential cost-effectiveness are important considerations. Our study used a modeling approach to assess the health impacts, health system costs, cost-effectiveness, and health equity of a mass media campaign to promote high quality smartphone apps for weight loss in New Zealand. Methods We used an established proportional multistate life table model that simulates the 2011 New Zealand (NZ) adult population over the lifetime, sub-grouped by age, sex, and ethnicity (Māori [Indigenous]/non-Māori). The key risk factor was BMI. The model compared business-as-usual to a one-off mass media campaign intervention, which included the pooled effect size from a recent meta-analysis of smartphone weight loss apps. The resulting impact on BMI and BMI-related diseases was captured through changes in health gain (quality-adjusted life years; QALYs) and in health system costs (health system perspective). The difference in total health system costs was the net sum of interventions costs and downstream cost offsets due to altered disease rates. A discount rate of 3% was applied to health gains and health system costs. Multiple scenario and sensitivity analyses were also conducted, including an equity adjustment. Results Across the remaining lifetime of the modeled 2011 NZ population, the mass media campaign to promote weight loss apps usage had an estimated overall health gain of 181 (95% uncertainty interval [UI]: 113, 270) QALYs and health care costs of NZ$ -606,000 (95%UI: -2,540,000, 907,000). The mean health care costs were negative, representing an overall savings to the health system and a likely cost-saving intervention. Across the outcomes examined in this study, the modeled mass media campaign to promote weight loss apps among the general population would be expected to provide higher per capita health gain for Māori and hence reduce health inequalities arising from high BMI. Conclusions A modeled mass media campaign to encourage the adoption of smartphone apps to promote weight loss among the NZ adult population is expected to yield an overall gain in health and to be cost-saving to the health system. While other interventions in the nutrition and physical activity space are even more beneficial to health and produce larger cost-savings (eg, fiscal policies, food reformulation), governments may choose to include strategies to promote health app usage as complementary measures.