Trends in the prevalence of individual health risk factors: how has the mortality risk changed over time? PLOSONE YorkUniversity healthrisk health riskfactors factors mortality risk mortalityrisk
By Bhavana KunkalikarJun 6 2023Reviewed by Lily Ramsey, LLM In a recent study published in the PLOS ONE Journal, researchers explored the prevalence of health risk factors and their correlation with all-cause mortality.
Social and lifestyle factors have been linked to the risk of developing cancer and CVD. Yet, the potential changing correlation between risk factors, mortality, and morbidity over time has received little attention. Data from National Health and Nutrition Examination Surveys III was used to obtain participant information, which was continuously collected from 1999 to 2014 to ensure a five-year mortality follow-up. The data was gathered through home interviews and health assessments conducted at Mobile Examination Centers .
The prevalence of self-reported 'poor' health decreased slightly over the study period among men and women, with no difference between the sexes. However, smoking decreased in both men and women while consuming a high-fat diet declined from 49% to 44% in men only. The prevalence of physical risk factors such as pain medication use, arthritis, and obesity increased significantly over time for men and women. However, there was a reduction in ADL problems among adults aged over 60 years.
United Kingdom Latest News, United Kingdom Headlines
Similar News:You can also read news stories similar to this one that we have collected from other news sources.
Cyclists wearing helmets seen as 'less human' than those without, researchers find'Our findings add to this growing research, suggesting that cyclists wearing safety attire, particularly high-visibility vests, may be dehumanised more so than cyclists without safety attire'
Read more »
Researchers use new deep learning approach to enable analysis of electrocardiograms as languageMount Sinai researchers have developed an innovative artificial intelligence (AI) model for electrocardiogram (ECG) analysis that allows for the interpretation of ECGs as language. This approach can enhance the accuracy and effectiveness of ECG-related diagnoses, especially for cardiac conditions where limited data is available on which to train.
Read more »
Older children under-five living in low incomes large families in rural areas are most vulnerable to malaria infectionOlder children under-five living in low incomes large families in rural areas are most vulnerable to malaria infection PLOSONE rural LMICs LMIC vulnerable malaria infection
Read more »
Quantifying the impact of intermittent fasting on appetiteQuantifying the impact of intermittent fasting on appetite Nutrients_MDPI BristolUni intermittentfasting fasting IF diet appetite nutrients
Read more »
Is translocator protein distribution volume elevated in the brain after acute COVID-19 infection with sequelae of depressive and cognitive symptoms?Is translocator protein distribution volume elevated in the brain after acute COVID-19 infection with sequelae of depressive and cognitive symptoms? JAMAPsych translocator protein distribution brain covid COVID19 SARSCoV2
Read more »
An overview of the French antibiotic resistance surveillance system in the human, animal, and environmental sectorsAn overview of the French antibiotic resistance surveillance system in the human, animal, and environmental sectors Eurosurveillanc antibioticresistace ABR AMR human animal environmental sectors
Read more »