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57, 1.23% (Commercial) and 0.46, 0.64% (Medicaid). Initial treatments within 12 months post-diagnosis were surgical (Commercial, 36.7%; Medicaid, 28.7%), pharmacologic (31.7%; 53.0%), or none (31.6%; 18.3%). Pharmacologic treatments were most commonly non-steroidal anti-inflammatory drugs and oral contraceptives; hysterectomy was the most common surgical treatment. Of procedures of abdominal hysterectomy, abdominal myomectomy, uterine artery embolization, and ablation in the first 12 months post-index, 14.9% (Commercial) and 24.9% (Medicaid) resulted in a treatment-associated complication. Abdominal hysterectomy had the highest complication rates (Commercial, 18.5%; Medicaid, 31.0%).

Off-label use of pharmacologic therapies and hysterectomy for treatment of symptomatic UF suggests a need for indicated non-invasive treatments for symptomatic UF.

Off-label use of pharmacologic therapies and hysterectomy for treatment of symptomatic UF suggests a need for indicated non-invasive treatments for symptomatic UF.

Patient skepticism concerning medical innovations can have major consequences for current public health and may threaten future progress, which greatly relies on clinical research. The primary objective of this study is to determine the variables associated with patient acceptation or refusal to participate in clinical research. Specifically, we sought to evaluate if distrust in pharmaceutical companies and associated psychosocial factors could represent a recruitment bias in clinical trials and thus threaten the applicability of their results.

This prospective, multicenter survey consisted in the administration of a self-questionnaire to patients during a pulmonology consultation. The 1025 questionnaires distributed collected demographics, socio-professional and basic health literacy characteristics. Patients were asked to rank their level of trust for pharmaceutical companies and indicate their willingness to participate in different categories of research (pre or post marketing, sponsored by an academi of patients such as women in pre-marketing drug trials.

Distrust in pharmaceutical companies is associated with a specific patient profile and with refusal to participate in certain subcategories of trials. This potential recruitment bias may explain the under-representation of certain categories of patients such as women in pre-marketing drug trials.

Our ability to understand population-level dietary intake patterns is dependent on having access to high quality data. Diet surveys are common diet assessment methods, but can be limited by bias associated with under-reporting. Food purchases tracked using supermarket loyalty card records may supplement traditional surveys, however they are rarely available to academics and policy makers. The aim of our study is to explore population level patterns of protein purchasing and consumption in ageing adults (40 years onwards).

We used diet survey data from the National Diet and Nutrition Survey (2014-16) on food consumption, and loyalty card records on food purchases from a major high street supermarket retailer (2016-17) covering the UK. We computed the percentage of total energy derived from protein, protein intake per kg of body mass, and percentage of protein acquired by food type.

We found that protein consumption (as the percentage of total energy purchased) increased between ages 40-65 years, and decl when combined with traditional sources of dietary intake may enhance our understanding of dietary behaviours.

The substantial prevalence and consequences of intimate partner violence (IPV) underscore the need for effective healthcare response in the way of screening and follow up care. Despite growing evidence regarding perspectives on healthcare-based screening for IPV experiences (i.e., victimization), there is an extremely limited evidence-base to inform practice and policy for detecting IPV use (i.e., perpetration). This study identified barriers, facilitators, and implementation preferences among United States (US) Veterans Health Administration (VHA) patients and providers for IPV use screening.

We conducted qualitative interviews with patients enrolled in VHA healthcare (N = 10) and focus groups with VHA providers across professional disciplines (N = 29). Data was analyzed using thematic and content analyses.

Qualitative analysis revealed convergence between patients' and providers' beliefs regarding key factors for IPV use screening, including the importance of a strong rapport, clear and comprehensive processes and procedures, universal implementation of screening, and a self-report screening tool that assesses for both IPV use and experiences concurrently.

Findings provide foundational information regarding patient and provider barriers, facilitators, and preferences for IPV use screening that can inform clinical practice and next steps in this important but understudied aspect of healthcare.

Findings provide foundational information regarding patient and provider barriers, facilitators, and preferences for IPV use screening that can inform clinical practice and next steps in this important but understudied aspect of healthcare.

Little attention has been paid to whether snoring frequency is associated with body composition in menopausal women, particularly in China. find more This study objected to investigate the association between self-reported snoring and body composition in (peri-post) menopausal Chinese women as well as metabolic indicators.

This cross-sectional study enrolled 715 participants aged 40-67 years from the Menopause Clinic in the Shanghai Sixth People's Hospital. Participants were categorized into four subgroups stratified by self-reported snoring frequency never, rarely (< 1 night per week), occasionally (1-2 nights per week), regularly (≥3 nights per week), while body composition was measured using bioelectrical impedance analysis (BIA). Besides, blood sample were collected to test the glycolipid indicators.

In our sample of investigation, regular snoring (≥3 nights per week) was found to be an independent risk factor for higher fat mass (total, upper limbs, trunk), with the highest risk of 2.4 times for fat mass of trunk after adjusting for metabolic confounders(p = 0.