Abstract Objective To analyze the differences between proportions of chronic non-communicable diseases (CNCDs) at two time periods, in a cohort older adults, based on sociodemographic determinants. Method This is retrospective longitudinal study with baseline data obtained 2008-2009 and follow-up 2016-2017, from FIBRA Study. The McNemar test was used to compare frequencies CNCDs according sex, ...

background: delayed reporting resulting in advanced stage disease is a common problem in indian cancer patients. this study analysed the impact of various sociodemographic and psychosocial factors on the delayed reporting to healthcare professional (hcp) in oral and oropharyngeal cancer patients. methods: this cross sectional observational study was conducted using a structured questionnaire. q...

Background and Aims. Complementary and alternative medicine (CAM) use among patients with inflammatory bowel disease (IBD) is common. The aim of this study was to explore associations between CAM use and health-related quality of life (HRQoL) as well as identifying whether sociodemographic factors, disease activity, and personal resources (self-efficacy) influence HRQoL scores in users and nonu...

BACKGROUND Symptoms of posttraumatic stress disorder (PTSD) after acute coronary syndrome (ACS) are associated with recurrent ACS events and mortality. Poor sleep may be a mechanism, but the association between PTSD and sleep after ACS is unknown. PURPOSE This study aims to estimate the association between ACS-induced PTSD symptoms and self-reported sleep. METHODS ACS-induced PTSD symptoms ...

BACKGROUND Use of ultra-processed foods has expanded rapidly over the last decades and high consumption has been positively associated with risk of e.g. overweight, obesity and type 2 diabetes. Ultra-processed foods offer convenience as they require minimal time for preparation. It is therefore reasonable to assume that such foods are consumed more often among people who experience time scarcit...

OBJECTIVE To identify socio-demographic and lifestyle determinants of weight gain in a sample of premenopasual black South African (SA) women. METHODS Changes in body composition (dual-energy X-ray absorptiometry, computerised tomography), socio-economic status (SES) and behavioural/lifestyle factors were measured in 64 black SA women at baseline (27 ± 8 years) and after 5.5 years. RESULTS ...