Family medicine viewed through the public lens: A national cross-sectional study in Lebanon.

Background: Family medicine (FM) is a medical specialty that provides continuing, comprehensive health care for the individual and the family. This study aimed to describe Lebanese citizens' knowledge, attitudes, and practices toward FM as a specialty.

Methods: This is a national cross-sectional phone-based survey targeting the knowledge of the public about FM and its scope of practice.

Prediction of spontaneous preterm birth using supervised machine learning on metabolomic data: A case-cohort study.

Objectives: To identify and internally validate metabolites predictive of spontaneous preterm birth (sPTB) using multiple machine learning methods and sequential maternal serum samples, and to predict spontaneous early term birth (sETB) using these metabolites.

Design: Case-cohort design within a prospective cohort study.

Setting: Cambridge, UK.

Impact of the COVID-19 pandemic on smoking behavior and beliefs among the American University of Beirut community.

Introduction: The current COVID-19 outbreak has led to sudden changes in routine and modifications in health behaviors. The study presented here investigates the changes in smoking behavior and beliefs due to the pandemic among a sample of individuals at the American University of Beirut (AUB) in Lebanon, between August and September 2020.

Methods: This is a cross-sectional exploratory study based on data collected through an anonymous, web-based questionnaire.

Knowledge, beliefs, and practices related to cancer screening and prevention in Lebanon: community and social media users' perspectives.

Objective: Common to many countries in the Middle East, Lebanon has an increasing cancer burden; however, national screening programs are limited to breast cancer. The literature on cancer screening practices and beliefs is scarce. This cross-sectional study investigates the knowledge, beliefs, and practices related to the prevention and screening for breast, cervical, colon, lung, and skin cancers among Lebanese residents, recruited through social media advertisements and community outreach activities.