Literature DB >> 11186218

Clinical evaluation of the overweight patient.

G A Bray1, D H Ryan.   

Abstract

Evaluation of an overweight patient is the first step in any therapeutic program. The syndromes of obesity can be classified in several ways. The first is an anatomic classification based on the size, number, and distribution of fat cells and fat tissue. The second is an etiologic classification based on identification of specific diseases and settings that produce obesity. Hypothalamic injury and endocrine disease such as Cushing's disease and the polycystic ovary syndrome are three identifiable causes of obesity. In this medicated society drugs are always candidates to produce weight gain. The most common causes, however, are stopping smoking, overconsumption of high-fat foods, a decrease in the level of activity, and aging. The natural history of obesity provides a useful framework in which to view both preventive and therapeutic strategies. Some individuals will never become overweight, but of those who do, about one-third will do so during the first two decades, and the remaining two-thirds will become overweight after age 20. A number of epidemiological and metabolic factors can serve as a guide to those individuals who are at high risk. Having overweight parents tops the list, but multiple births, cessation of smoking, and a sedentary lifestyle are additional factors. Therapeutic decisions should be based on risk-benefit decisions. The risk can be assessed from the body mass index, the distribution of fat in upper or lower body obesity, the rate of weight gain, and the degree of physical inactivity. After assessing risk, the therapeutic choices can be selected from the age category of the patient. With any therapeutic activity, involvement of the patient in a realistic approach to the treatment process is essential.

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Mesh:

Year:  2000        PMID: 11186218     DOI: 10.1385/ENDO:13:2:167

Source DB:  PubMed          Journal:  Endocrine        ISSN: 1355-008X            Impact factor:   3.925


  32 in total

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Journal:  Obes Res       Date:  1998-09

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Journal:  Diabetes Care       Date:  1988 Jul-Aug       Impact factor: 19.112

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Journal:  JAMA       Date:  1976-04-05       Impact factor: 56.272

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Journal:  Major Probl Intern Med       Date:  1976

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Authors:  R C Whitaker; J A Wright; M S Pepe; K D Seidel; W H Dietz
Journal:  N Engl J Med       Date:  1997-09-25       Impact factor: 91.245

7.  Longitudinal changes in adiposity associated with pregnancy. The CARDIA Study. Coronary Artery Risk Development in Young Adults Study.

Authors:  D E Smith; C E Lewis; J L Caveny; L L Perkins; G L Burke; D E Bild
Journal:  JAMA       Date:  1994-06-08       Impact factor: 56.272

8.  Type 2 (non-insulin-dependent) diabetes mellitus, hypertension and hyperlipidaemia (syndrome X): relation to reduced fetal growth.

Authors:  D J Barker; C N Hales; C H Fall; C Osmond; K Phipps; P M Clark
Journal:  Diabetologia       Date:  1993-01       Impact factor: 10.122

9.  Effect of intensive blood-glucose control with metformin on complications in overweight patients with type 2 diabetes (UKPDS 34). UK Prospective Diabetes Study (UKPDS) Group.

Authors: 
Journal:  Lancet       Date:  1998-09-12       Impact factor: 79.321

10.  The influence of smoking cessation on the prevalence of overweight in the United States.

Authors:  K M Flegal; R P Troiano; E R Pamuk; R J Kuczmarski; S M Campbell
Journal:  N Engl J Med       Date:  1995-11-02       Impact factor: 91.245

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  4 in total

1.  Effect of resistance training on muscular strength and indicators of abdominal adiposity, metabolic risk, and inflammation in postmenopausal women: controlled and randomized clinical trial of efficacy of training volume.

Authors:  Paulo Ricardo Prado Nunes; Larissa Corrêa Barcelos; Anselmo Alves Oliveira; Roberto Furlanetto Júnior; Fernanda Maria Martins; Cláudio Lera Orsatti; Elisabete Aparecida Mantovani Rodrigues Resende; Fábio Lera Orsatti
Journal:  Age (Dordr)       Date:  2016-03-17

2.  Combined All-Extremity High-Intensity Interval Training Regulates Immunometabolic Responses through Toll-Like Receptor 4 Adaptors and A20 Downregulation in Obese Young Females.

Authors:  Nakisa Soltani; Sayed Mohammad Marandi; Mohammad Kazemi; Nafiseh Esmaeil
Journal:  Obes Facts       Date:  2020-07-02       Impact factor: 3.942

3.  The correlation between adiposity and adiponectin, tumor necrosis factor alpha, interleukin-6 and high sensitivity C-reactive protein levels. Is adipocyte size associated with inflammation in adults?

Authors:  M Bahceci; D Gokalp; S Bahceci; A Tuzcu; S Atmaca; S Arikan
Journal:  J Endocrinol Invest       Date:  2007-03       Impact factor: 4.256

4.  Evaluation of Midnight Salivary Cortisol as a Predictor Factor for Common Carotid Arteries Intima Media Thickness in Patients with Clinically Inapparent Adrenal Adenomas.

Authors:  Giuseppe Reimondo; Barbara Allasino; Marcella Coletta; Anna Pia; Giulia Peraga; Barbara Zaggia; Chiara Massaglia; Piero Paccotti; Massimo Terzolo
Journal:  Int J Endocrinol       Date:  2015-05-14       Impact factor: 3.257

  4 in total

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