Purpose: To examine the association between the Family Risk Score (FRS) for coronary heart disease (CHD) and body mass index (BMI), waist-to-hip ratio (WHR), high density lipoprotein (HDL) and low density lipoprotein (LDL) cholesterol, triglycerides, and lipoprotein(a) protein [Lp(a)].
Methods: FRS was computed from observed and expected CHD events using family data collected from 11467 black and white adults of the Atherosclerosis Risk in Communities Study (ARIC). BMI, WHR, and lipids adjusted for study center, race, education, BMI (except BMI), WHR (except for BMI and WHR), cigarette smoking, alcohol, and Keys' score were compared among low (FRS < -0.5), average (-0.5 to 0.5), and high (> 0.5) FRS using analysis of covariance. The association between FRS and these risk factors was compared to that for simpler estimates of family risk.
Results: Adjusted means of BMI, WHR, LDL, LP(a), and triglycerides were positively associated with FRS, whereas HDL cholesterol was inversely associated with FRS. Of demographic and behavioral factors, cigarette smoking was most strongly associated with FRS. Based on additional comparisons of adjusted means, high vs. low levels of FRS appear to correlate better with CHD risk factors than do the simpler family history assessments.
Conclusions: In situations were genetic or clinical information is not available, FRS may be a favorable measure of familial burden for CHD.
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http://dx.doi.org/10.1016/s1047-2797(99)00056-3 | DOI Listing |
Ann Endocrinol (Paris)
January 2025
Assistance Publique Hôpitaux de Paris, Pituitary Unit, Pitié-Salpêtrière Hospital, 75013 Paris, France. Electronic address:
Background: Non-functional adrenal incidentaloma (NFAI) is associated with increased risk of adverse cardiometabolic outcome. Identifying predictors of atherosclerotic cardiovascular disease (ASCVD) may enable more appropriate management strategies in patients with NFAI. We aimed to investigate body composition parameters and ASCVD risk in patients with NFAI.
View Article and Find Full Text PDFDiabetes Metab Syndr
January 2025
Department of Anthropology, University of Delhi, Delhi, 110007, India; Laboratory of Kinanthropometry, Ergonomics and Physiological Anthropology, Department of Anthropology, University of Delhi, Delhi, 110007, India. Electronic address:
Aims: To assess the prevalence of possible sarcopenia and sarcopenic obesity phenotypes and investigate their association with self-reported diabetes among community-dwelling individuals aged 45 or above.
Methods: Utilizing data from 62,899 individuals in LASI wave-1 (2017-18), the assessment of possible sarcopenia was done on two critical parameters: muscle (handgrip) strength and physical performance (gait speed), following the 2019 guidelines from the Asian working group on sarcopenia (AWGS). BMI, WC, WHR, and WHtR defined sarcopenic obesity phenotypes.
Mol Nutr Food Res
January 2025
Department of Cardiology, the First College of Clinical Medical Sciences, China Three Gorges University, Yichang, China.
We aimed to explore the association between plant-based dietary (PBD) patterns and obesity trajectories in middle-aged and elderly, as well as obesity trajectories linked to cardiovascular disease (CVD) risk. A total of 7108 middle-aged and elderly UK Biobank participants with at least three physical measurements were included. Dietary information collected at enrolment was used to calculate the healthful plant-based diet index (hPDI).
View Article and Find Full Text PDFObes Res Clin Pract
January 2025
School of Nursing, The Hong Kong Polytechnic University, Hong Kong, China. Electronic address:
Aim: This cross-sectional study aimed to examine the associations of a healthy lifestyle index (HLI) with several anthropometric indices and obesity among Hong Kong Chinese women.
Subjects/methods: A total of 3174 women (56.16 ± 8.
Pediatr Nephrol
January 2025
Nephrology, Children's National Hospital, 111 Michigan Avenue NW, Washington, DC, 20010, USA.
Background: Obesity and metabolic syndrome (MS) accelerate arterial stiffening, increasing cardiovascular (CV) risk after transplant. BMI is limited by inability to differentiate muscle, fat mass, and fat distribution patterns. The aim of this study was to identify the best anthropometric measure to detect arterial stiffness as assessed by pulse wave velocity (PWV) in a racially diverse pediatric transplant population.
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