Background: We obtained the prevalence of overweight/obesity, weight-loss attempts, and weight-related counseling and treatment among U.S. adults who sought care in federally funded community health centers. We investigated whether racial/ethnic and gender disparities existed for these measures.
Methods: Data came from the 2009 Health Center Patient Survey. Measures included body mass index (BMI), self-perceived weight, weight-loss attempts, being told of a weight problem, receipt of weight-related counseling, nutritionist referrals, weight-loss prescriptions, and cholesterol checks. We conducted bivariate analyses to determine distributions by race/ethnicity and gender, then ran logistic regressions to examine the effects of several sociodemographic factors on weight-loss attempts and on being told of a weight problem.
Results: Overall, 76% of adult patients seen in health centers were overweight or obese (BMI ≥ 25.0 kg/m(2)); 55% of overweight patients, and 87% of obese patients correctly perceived themselves as overweight. There were no racial/ethnic differences in BMI categories or self-perceptions of weight. Females were more likely than males to be obese and also more likely to perceive themselves as overweight. About 60% of overweight/obese patients reported trying to lose weight in the past year. There were no racial/ethnic disparities favoring non-Hispanic White patients in weight-related treatment. Women were more likely than men to receive referrals to a nutritionist or weight-loss prescriptions. Overweight/obese patients had higher adjusted odds of a past-year weight-loss attempt if they perceived themselves as overweight (OR = 3.30, p < 0.0001), were female (OR = 1.95, p < 0.05), African American (OR = 3.34, p < 0.05), or Hispanic/Latino (OR = 2.14, p < 0.05). Overweight/obese patients had higher odds of being told they had a weight problem if they were Hispanic/Latino (OR = 2.56, p < 0.05) or if they had two or more chronic conditions (OR = 2.77, p < 0.01).
Conclusions: Patients seen in community health centers have high rates of overweight and obesity, even higher than the general U.S. population. Efforts to address weight problems during primary care visits are needed to reduce the burden of obesity and its sequellae among health center patients.
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http://dx.doi.org/10.1016/j.orcp.2012.04.001 | DOI Listing |
Sci Rep
December 2024
Department of Medical Microbiology, Radboudumc, Nijmegen, The Netherlands.
The aetiology of Alzheimer's disease (AD) and Parkinson's disease (PD) are unknown and tend to manifest at a late stage in life; even though these neurodegenerative diseases are caused by different affected proteins, they are both characterized by neuroinflammation. Links between bacterial and viral infection and AD/PD has been suggested in several studies, however, few have attempted to establish a link between fungal infection and AD/PD. In this study we adopted a nanopore-based sequencing approach to characterise the presence or absence of fungal genera in both human brain tissue and cerebrospinal fluid (CSF).
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December 2024
School of Physical Education, Southwest Petroleum University, Chengdu, 610500, China.
Stroke is one of the leading causes of death in developing countries, and China bears the largest global burden of stroke. This study aims to investigate the relationship between different dimensions of physical activity levels and stroke risk using a nationally representative database. We performed a cross-sectional analysis using data from the China Health and Retirement Longitudinal Study (CHARLS) 2020.
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December 2024
KAUST Center of Excellence for Smart Health (KCSH), King Abdullah University of Science and Technology, Thuwal, 23955, Saudi Arabia.
Analyzing microbial samples remains computationally challenging due to their diversity and complexity. The lack of robust de novo protein function prediction methods exacerbates the difficulty in deriving functional insights from these samples. Traditional prediction methods, dependent on homology and sequence similarity, often fail to predict functions for novel proteins and proteins without known homologs.
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December 2024
Department of Diagnostic Radiology, Dalhousie University, Halifax, Canada.
The goal of this study was to determine how radiologists' rating of image quality when using 0.5T Magnetic Resonance Imaging (MRI) compares to Computed Tomography (CT) for visualization of pathology and evaluation of specific anatomic regions within the paranasal sinuses. 42 patients with clinical CT scans opted to have a 0.
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December 2024
School of Mechanical Engineering, Liaoning Engineering Vocational College, Tieling, 112008, Liaoning, People's Republic of China.
The paper proposes a multi-rigid-body system state identification method based on self-healing model in order to improve the accuracy and reliability of CNC machine tools. Firstly, considering the influence of the joint surface, the Lagrange method is used to establish the mechanical model of the multi-rigid-body system. We input acceleration information and use the second-order modulation function to complete the online real-time identification of the joint surface parameters, thereby establishing the self-healing mechanical model of the multi-rigid-body system.
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