Cross-sectional analysis of soft drinks consumption patterns post-taxation in Saudi Arabia.

Background: Sweetened soft drinks consumption contributes to the increasing prevalence of obesity in Saudi Arabia. In 2017, Saudi Arabia began imposing tax on sugar-sweetened drinks to combat obesity.

Aim: To investigate the determinants of soft drinks consumption patterns among adults in Saudi Arabia 5 years after consumer tax implementation.

Development of Valid and Reliable Questionnaire to Evaluate Knowledge, Attitude, and Practices (KAP) of Lifestyle Medicine Domains.

Unlabelled: Lifestyle medicine (LM) should be incorporated as part of routine clinical work and medical education programs.

Objective: To develop and test the validity and reliability of a questionnaire that measures the level of knowledge, attitude, and practice (KAP) of LM domains among medical trainees through practicing physicians.

Methods: The KAP questionnaire sections covered the nine domains of LM.

State of lifestyle medicine education in Saudi medical schools: A descriptive study.

Background: Lifestyle medicine (LM) is a patient-centric, evidence-based clinical practice supporting adopting and sustaining of healthy behaviours and improving health-related living standards. Unfortunately, even in developed nations, medical curricula have largely ignored the LM concepts. Some LM components have been incorporated into the medical curriculum in the Kingdom of Saudi Arabia to determine the general status of teaching LM competency domains in undergraduate curricula in medical colleges.

Evaluating attitudes toward soft drink consumption among adults in Saudi Arabia: Five years after selective taxation implementation.

Objective: Saudi Arabia (SA) ranked first in soft drink consumption in the Middle East. A decrease in consumption was recorded after a selective 50% increased taxation policy in 2018. This study aimed to assess soft drinks consumption patterns among Saudi Arabian adults and examine the association between different attitudes and patterns post-taxation.

Improved recovery of cardiac auscultation sounds using modified cosine transform and LSTM-based masking.

Obtaining accurate cardiac auscultation signals, including basic heart sounds (S1 and S2) and subtle signs of disease, is crucial for improving cardiac diagnoses and making the most of telehealth. This research paper introduces an innovative approach that utilizes a modified cosine transform (MCT) and a masking strategy based on long short-term memory (LSTM) to effectively distinguish heart sounds and murmurs from background noise and interfering sounds. The MCT is used to capture the repeated pattern of the heart sounds, while the LSTMs are trained to construct masking based on the repeated MCT spectrum.