Telemedicine for obesity management among United States adults: A systematic and meta-analysis of intervention studies.

Obesity is projected to affect 86% of United States adults by 2030. Recent data show a surge to 41.9%, with the highest proportion in the 40-59 age group (44.3%). Obesity is linked to various health issues and preventable deaths. Telemedicine has emerged as a promising avenue for addressing obesity. This systematic review and meta-analysis examine the effectiveness of telemedicine interventions for managing obesity in US adults aged 40 and above. Through a thorough Preferred Reporting Items for Systematic Reviews and Meta-Analysis-guided search, 16 studies meeting inclusion criteria were identified. These studies employed diverse telemedicine technologies, including video-based and telephone sessions or a mixture of technologies. The analysis reveals a statistically significant mean difference of 0.93 in favor of telemedicine interventions for weight loss. Subgroup analysis suggests that intervention durations of 6-12 months and telephone-based sessions correlate with more substantial mean differences. This study provides valuable insights into the effectiveness of telemedicine in managing obesity, emphasizing the importance of intervention type and duration. Study limitations include variability and potential biases. Customized telemedicine strategies have the potential to combat the obesity epidemic among older adults in the United States, offering guidance to healthcare professionals aiming to reduce health risks and enhance overall well-being.

Factors Affecting the Rate of Colonoscopy Among African Americans Aged Over 45 Years.

African Americans continue to have a low rate of colonoscopy screening despite the U.S. Preventive Services Taskforce's (USPSTF) recommendations and its proven benefits. Colonoscopy has proven to be an effective screening and therapeutic procedure. Understanding the root cause of the problem is a crucial step toward achieving the desired colonoscopy rate among this population. This paper evaluates factors that contribute to the underutilization of colonoscopy. The paper also analyzes strategies that could be maximized to increase colonoscopy rates, minimize colorectal cancer inequalities, and promote optimal colorectal health among African Americans.

Artificial Intelligence in Healthcare: Perception and Reality.

Artificial intelligence (AI) has birthed the new "big thing" in modern medicine. It promises to bring about safer and improved care that will be beneficial to patients and become a helpful tool in the hands of a skilled physician. Despite its anticipation, however, the implementation and usage of AI are still in their elementary phases, particularly due to legal and ethical considerations that border on "data." These challenges should not be brushed aside but rather be recognized and resolved to enable acceptance by all relevant stakeholders without prejudice. Once these challenges can be overcome, AI will truly revolutionize the field of medicine with improved diagnostic accuracy, a reduction in physician burnout, and an enhanced treatment modality. It is therefore paramount that AI be embraced by physicians and integrated into medical education in order to be well-prepared for our role in the future of medicine.

Causes and Prevention of Early-Onset Colorectal Cancer.

Sporadic colorectal cancer (CRC) has historically been considered a disease of the elderly. However, early-onset colorectal cancer (eoCRC) incidence and prevalence have steadily increased over the last few decades, highlighting the critical need for a comprehensive understanding of its causes and prevention. This research examines the numerous factors contributing to the increasing incidence of eoCRC. These factors include a combination of genetic predispositions and environmental effects. We also investigate the impact of modifiable lifestyle factors like obesity, physical inactivity, and an unhealthy diet on eoCRC risk. Understanding these factors is critical in developing future diagnostic, prognostic, disease monitoring, and therapy planning strategies in managing eoCRC and will help optimize guidelines for CRC screening.

Spatially refined time-varying reproduction numbers of SARS-CoV-2 in Arkansas and Kentucky and their relationship to population size and public health policy, March - November 2020.

PURPOSE: To examine the time-varying reproduction number, Rt, for COVID-19 in Arkansas and Kentucky and investigate the impact of policies and preventative measures on the variability in Rt. METHODS: Arkansas and Kentucky county-level COVID-19 cumulative case count data (March 6-November 7, 2020) were obtained. Rt was estimated using the R package 'EpiEstim', by county, region (Delta, non-Delta, Appalachian, non-Appalachian), and policy measures. RESULTS: The Rt was initially high, falling below 1 in May or June depending on the region, before stabilizing around 1 in the later months. The median Rt for Arkansas and Kentucky at the end of the study were 1.15 (95% credible interval [CrI], 1.13, 1.18) and 1.10 (95% CrI, 1.08, 1.12), respectively, and remained above 1 for the non-Appalachian region. Rt decreased when facial coverings were mandated, changing by -10.64% (95% CrI, -10.60%, -10.70%) in Arkansas and -5.93% (95% CrI, -4.31%, -7.65%) in Kentucky. The trends in Rt estimates were mostly associated with the implementation and relaxation of social distancing measures. CONCLUSIONS: Arkansas and Kentucky maintained a median Rt above 1 during the entire study period. Changes in Rt estimates allow quantitative estimates of potential impact of policies such as facemask mandate.