Association between gut microbiome profiles and host metabolic health across the life course: a population-based study.

Background: The human gut microbiome changes considerably over time. Previous studies have shown that gut microbiome profiles correlate with multiple metabolic traits. As disease development is likely a lifelong process, evidence gathered at different life stages would help gain a better understanding of this correlation.

Urinary incontinence (UI) in older women in low- and middle-income countries: a rapid review and case study from Burkina Faso.

The prevalence of urinary incontinence (UI) in older women in low- and middle-income countries (LMICs) is not well understood. We conducted a rapid literature review to assess the burden of UI in this population and contextualize findings from a household survey of women aged 40 and older in Nouna, in northwestern Burkina Faso. The rapid review included 21 survey articles.

From physical activity patterns to cognitive status: development and validation of novel digital biomarkers for cognitive assessment in older adults.

Background: This study aims to investigate the associations between signal-level physical activity (PA) features derived from wrist accelerometry data and cognitive status in older adults, and to evaluate their potential predictive value when combined with demographics.

Methods: We analyzed PA data from 3,363 older adults (NHATS: n = 747; NHANES: n = 2,616), with each participant contributing a complete 3-day continuous activity sequence. We extracted the most relevant PA features associated with cognitive function using feature engineering and recursive feature elimination.

Patient-Reported Outcome Measures in Patients with Diabetes Mellitus: Findings from the Diabetes Landeck Cohort.

Introduction: Maintaining and optimizing quality of life (QoL) is a central issue and one of the most important goals in therapy for patients with chronic diseases, such as diabetes mellitus (DM). Despite its importance, there is little data on the QoL of patients with DM in Austria. The objective of this study was to extend an established population-based cohort, the Diabetes-Landeck cohort, by including patient-reported outcomes.

Analysis of longitudinal social media for monitoring symptoms during a pandemic.

Objective: Current studies leveraging social media data for disease monitoring face challenges like noisy colloquial language and insufficient tracking of user disease progression in longitudinal data settings. This study aims to develop a pipeline for collecting, cleaning, and analyzing large-scale longitudinal social media data for disease monitoring, with a focus on COVID-19 pandemic.

Materials And Methods: This pipeline initiates by screening COVID-19 cases from tweets spanning February 1, 2020, to April 30, 2022.

Performance of the pooled cohort equations and D:A:D risk scores among individuals with HIV in a global cardiovascular disease prevention trial: a cohort study leveraging data from REPRIEVE.

Background: Risk estimation is an essential component of cardiovascular disease prevention among people with HIV. We aimed to characterise how well atherosclerotic cardiovascular disease (ASCVD) risk scores used in clinical guidelines perform among people with HIV globally.

Methods: In this prospective cohort study leveraging REPRIEVE data, we included participants aged 40-75 years, with low-to-moderate traditional cardiovascular risk, not taking statin therapy.

Loneliness During Adolescence and Subsequent Health and Well-Being in Adulthood: An Outcome-Wide Longitudinal Approach.

Purpose: Intergovernmental organizations, such as the World Health Organization, policymakers, scientists, and the public alike are recognizing the importance of loneliness for health/well-being outcomes. However, it remains unclear if loneliness in adolescence shapes health/well-being in adulthood. We examined if increase in loneliness during adolescence was associated with worse health/well-being in adulthood, across 41 outcomes.

A modeling study of cool surfaces and outdoor workers productivity at San Francisco International Airport.

Heat exposure in outdoor work environments poses risks to worker health and productivity. Engineering solutions like cool surfaces that increase surface albedo and reduce temperatures may help mitigate these impacts. We conducted detailed micrometeorological modeling to analyze surface characteristics and heat exposure for outdoor workers at San Francisco International Airport (SFO) under current conditions and three hypothetical albedo-increase scenarios.

Deep Learning-Enabled Integration of Histology and Transcriptomics for Tissue Spatial Profile Analysis.

Spatially resolved transcriptomics enable comprehensive measurement of gene expression at subcellular resolution while preserving the spatial context of the tissue microenvironment. While deep learning has shown promise in analyzing SCST datasets, most efforts have focused on sequence data and spatial localization, with limited emphasis on leveraging rich histopathological insights from staining images. We introduce GIST, a deep learning-enabled gene expression and histology integration for spatial cellular profiling.

Quantifying Metagenomic Strain Associations from Microbiomes with Anpan.

Genetic and genomic variation among microbial strains can dramatically influence their phenotypes and environmental impact, including on human health. However, inferential methods for quantifying these differences have been lacking. Strain-level metagenomic profiling data has several features that make traditional statistical methods challenging to use, including high dimensionality, extreme variation among samples, and complex phylogenetic relatedness.

Does Meaning in Life Mediate Associations Between Suffering and Subsequent Mental Well-Being? Longitudinal Evidence From Two Non-Western Samples.

Narrative accounts have documented the potential for suffering to degrade a person's well-being by undermining their sense of meaning in life, but few studies have investigated this among nonclinical samples living in non-Western contexts of the Global South. Leveraging data from a set of three-wave longitudinal studies with younger Indonesian (Study 1: Wave 1 [December 2020], Wave 2 [January 2021], Wave 3 [February 2021]; N = 620) and Colombian adults (Study 2: Wave 1 [August/September 2021], Wave 2 [October/November 2021], Wave 3 [February 2022]; N = 2626), the present research used causal mediation methods within a counterfactual framework to examine whether the associations between suffering (Wave 1) and subsequent anxiety symptoms, depression symptoms, and general mental health (Wave 3) are mediated by meaning in life (Wave 2). Mediation analyses in both studies provided some evidence indicating that overall suffering (Wave 1) is indirectly associated with worse subsequent mental well-being on all three outcomes (Wave 3) via lower meaning in life (Wave 2).

The renin-angiotensin-aldosterone system and salt sensitivity of blood pressure offer new insights in obesity phenotypes.

Objective: Individuals who have metabolically healthy overweight/obesity (MHOO) do not have cardiometabolic complications despite an elevated BMI. Renin-angiotensin-aldosterone system (RAAS) activation and salt sensitivity of blood pressure (SSBP) are cardiovascular disease (CVD) risks, which are increased in individuals with higher BMI values. Little is known about the differences in RAAS activation and SSBP between MHOO and metabolically unhealthy overweight/obesity (MUOO) phenotypes.

Coffee Consumption, Additive Use, and Risk of Type 2 Diabetes- Results from Three Large Prospective US Cohort Studies.

Background: Consumption of coffee has been consistently associated with lower risk of type 2 diabetes (T2D). However, it is unknown whether the use of additives may modify the association.

Objective: To study the association between coffee consumption and risk of T2D by considering the addition of sugar, artificial sweeteners, cream or a non-dairy coffee whitener.

Outpatient surgical institutions in the rural United States: Trends from 2010 to 2020.

Background: The volume and proportion of surgeries occurring in outpatient settings has increased. However, the growth and distribution of outpatient surgical institutions, namely ambulatory surgery centers (ASCs) and hospital-based outpatient surgical departments (HOPDs), remains understudied in rural areas.

Methods: We used descriptive statistics and a multivariate logistic regression to assess the growth and distribution of ASCs and HOPDs in rural areas from 2010 to 2020, leveraging the Area Health Resources Files and American Community Survey.

Predicting metabolite response to dietary intervention using deep learning.

Due to highly personalized biological and lifestyle characteristics, different individuals may have different metabolite responses to specific foods and nutrients. In particular, the gut microbiota, a collection of trillions of microorganisms living in the gastrointestinal tract, is highly personalized and plays a key role in the metabolite responses to foods and nutrients. Accurately predicting metabolite responses to dietary interventions based on individuals' gut microbial compositions holds great promise for precision nutrition.

Assessment of different U-Net backbones in segmenting colorectal adenocarcinoma from H&E histopathology.

Adenocarcinoma, the most prevalent type of colorectal cancer, makes up roughly 95 % of all cases and is associated with a notably high mortality rate. Owing to the various risk factors which might include personal choices and habits or genetic factors, the risk of developing the cancer for every individual might vary. However, given the statistics, the rate of acquiring the disease is pretty high.

Targeting ultra-processed foods for prevention of type 2 diabetes: state of the evidence and future directions.

The incidence of type 2 diabetes has risen globally, in parallel with the obesity epidemic and environments promoting a sedentary lifestyle and low-quality diet. There has been scrutiny of ultra-processed foods (UPFs) as a driver of type 2 diabetes, underscored by their increasing availability and intake worldwide, across countries of all incomes. This narrative review addresses the accumulated evidence from investigations of the trends in UPF consumption and the relationship with type 2 diabetes incidence.

Structuring Palliative Care Education for Medical Students: Impact of a Novel Framework and Pocket Card.

Introduction: Palliative care (PC) education is not uniformly provided across U.S. medical schools.

Understanding the Concept of Patient Safety Culture: Constitutive and Operational Definitions for Health Care Organizations.

Background: Patient safety culture is crucial for improving health care quality, however, there is no consensus on its definition.

Purpose: This study aimed to clarify and update the concept of patient safety culture.

Methods: We employed Norris' 6-step concept clarification method.

Race and Ethnicity and Diffusion of Telemedicine in Medicaid for Schizophrenia Care After Onset of the COVID-19 Pandemic.

Importance: Delivery of mental health care through telehealth (telemental health care) increased after the onset of the COVID-19 pandemic. Little is known about the speed of adoption (diffusion) of telemental health in the care in the care of individuals with schizophrenia.

Objectives: To characterize telemental health care diffusion in mental health agencies serving Medicaid beneficiaries with schizophrenia and the beneficiary-level association of telemental health care use with race and ethnicity.

Assessment of antenatal care quality in Ethiopia: Facility-based study using service provision assessment data.

Background: Antenatal care (ANC) coverage in low- and middle-income countries has increased in the past few decades. However, merely increasing care coverage may not enhance maternal and newborn health unless the recommended service components are also provided. Our aim was to assess the quality of ANC and its associated factors in Ethiopia.

Psychological distress in adolescence and later economic and health outcomes in the United States population: A retrospective and modeling study.

Background: Federal policy impact analyses in the United States do not incorporate the potential economic benefits of adolescent mental health policies. Understanding the extent to which economic benefits may offset policy costs would support more effective policymaking. This study estimates the relationship between adolescent psychological distress and later health and economic outcomes and uses these estimates to determine the potential economic effects of a hypothetical policy.