Introduction: Leading public health institutions recommend participation in several evidence-based behaviors, including exercise, a healthy diet, and maintenance of a normal BMI while simultaneously avoiding cigarette smoking and excessive alcohol consumption. The investigators attempted to evaluate the collective adherence to these recommendations and population trends in these behaviors by evaluating nationally representative surveys over a period of 12 years.
Methods: In 2019, the data from 26,194 National Health and Examination Survey participants who provided answers to survey questions regarding diet, physical activity, and usage of cigarettes and alcohol were analyzed. BMI was obtained from the examination data. Adherence to each behavior and the constellation of all 5 behaviors was assessed and tracked over a 12-year timeframe.
Results: The smoking rates (p=0.01) and adherence to a healthy BMI declined over time (p=0.03). The total percentage of subjects who participated in all 5 behaviors ranged from 4.4% to 6.3%, whereas subjects who performed 2 or fewer behaviors ranged from 45.4% to 48.3%. Greater education (p<0.0001), higher SES (p<0.0001), and being a female participant (p<0.0001) predicted higher behavior scores.
Conclusions: Only 1 in 5 Americans engage in 4 or more healthy behaviors, whereas almost half of them participate in fewer than 3 healthy behaviors. Increased participation in numerous healthy behaviors can decrease premature mortality, decrease the burden of chronic diseases, improve life quality, and provide substantial economic benefits. A public health practice of targeting a constellation of behaviors as opposed to individual behaviors is needed.
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http://dx.doi.org/10.1016/j.amepre.2020.02.013 | DOI Listing |
Implement Sci Commun
January 2025
Department of Medical Social Sciences, Feinberg School of Medicine, Northwestern University, IL, Chicago, USA.
Background: Studies have demonstrated that standardizing labor induction (IOL), often with the use of protocols, may reduce racial inequities in obstetrics. IOL protocols are complex, multi-component interventions. To target identified implementation barriers, audit and feedback (A&F) was selected as an implementation strategy.
View Article and Find Full Text PDFTrop Med Health
January 2025
LaoLuxLab/Vaccine Preventable Diseases Laboratory, Institut Pasteur du Laos, Vientiane, Laos.
Background: Individuals with latent tuberculosis infection (LTBI) have a high risk of active infection, morbidity and mortality. Healthcare workers are a group who have increased risk of infection and onward transmission to their patients and other susceptible individuals; however, LTBI is often undiagnosed, and individuals are asymptomatic. Interferon gamma release assays (IGRA) can detect evidence of TB infection in otherwise asymptomatic individuals and are a good indication of LTBI.
View Article and Find Full Text PDFBreast Cancer Res
January 2025
Division of Medical Oncology, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA.
Background: Epidemiological studies associate an increase in breast cancer risk, particularly triple-negative breast cancer (TNBC), with lack of breastfeeding. This is more prevalent in African American women, with significantly lower rate of breastfeeding compared to Caucasian women. Prolonged breastfeeding leads to gradual involution (GI), whereas short-term or lack of breastfeeding leads to abrupt involution (AI) of the breast.
View Article and Find Full Text PDFMicrobiome
January 2025
Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia.
Background: Accurate classification of host phenotypes from microbiome data is crucial for advancing microbiome-based therapies, with machine learning offering effective solutions. However, the complexity of the gut microbiome, data sparsity, compositionality, and population-specificity present significant challenges. Microbiome data transformations can alleviate some of the aforementioned challenges, but their usage in machine learning tasks has largely been unexplored.
View Article and Find Full Text PDFChin Med
January 2025
Department of Integrated Traditional Chinese and Western Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China.
Background: This research aims to explore the anti-obesity potential of Wu-Mei-Wan (WMW), particularly its effects on adipose tissue regulation in obese mice induced by a high-fat diet (HFD). The study focuses on understanding the role of heat shock factor 1 (HSF1) in mediating these effects.
Methods: HFD-induced obese mice were treated with WMW.
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