RESEARCH PROJECT : DR ROB COLLINS (BMI / Obesity / Asthma in children)
Search for: limit 27 to (english language and humans)
Results: 1-147
Database: Ovid MEDLINE(R) <1996 to November Week 2 2009> (Limited further to year 2005-2009)
Search Strategy:
------
1 body mass index/ (42455)
2 rebound.tw. and 1 (78)
3 bmi rebound.mp. (8)
4 2 or 3 (79)
5 exp Asthma/ (42154)
6 4 and 5 (1)
7 1 and 5 (342)
8 *body mass index/ and exp *Asthma/ (81)
9 Obesity/ (52007)
10 exp *Asthma/ and *Obesity/ (231)
11 limit 10 to ("infant (1 to 23 months)" or "preschool child (2 to 5 years)" or "child (6 to 12 years)") (83)
12 6 or 8 or 11 (156)
13 Risk Factors/ (297933)
14 *Obesity/ and 13 (6423)
15 limit 14 to ("infant (1 to 23 months)" or "preschool child (2 to 5 years)" or "child (6 to 12 years)") (1558)
16 1 and 15 (754)
17 *body mass index/ and 16 (141)
18 12 or 17 (292)
19 limit 18 to review (26)
20 limit 18 to yr=2005-2009 (196)
21 bmi.tw. or body mass index.af. (75663)
22 18 and 21 (260)
23 20 and 21 (174)
24 *body mass index/ and 23 (148)
25 body mass index rebound.tw. or 3 (8)
26 limit 25 to english language (7)
27 24 or 26 (155)
28 limit 27 to (english language and humans) (147)
29 from 28 keep 1-147 (147)
***************************
Result <1>
Unique Identifier
19573753
Status
MEDLINE
Authors
Teich S. Michalsky MP.
Authors Full Name
Teich, Steven. Michalsky, Marc P.
Title
Preface: Chronic diseases in childhood obesity: risks and benefits of early intervention. Ohio, April 2-3, 2009.
Source
Seminars in Pediatric Surgery. 18(3):125, 2009 Aug.
Publication Type
Introductory Journal Article.
Result <2>
Unique Identifier
19736333
Status
MEDLINE
Authors
Freedman DS. Wang J. Thornton JC. Mei Z. Sopher AB. Pierson RN Jr. Dietz WH. Horlick M.
Authors Full Name
Freedman, David S. Wang, Jack. Thornton, John C. Mei, Zuguo. Sopher, Aviva B. Pierson, Richard N Jr. Dietz, William H. Horlick, Mary.
Institution
Division of Nutrition and Physical Activity, Centers for Disease Control and Prevention, 4770 Buford Highway, Atlanta, GA 30341-3717, USA.
Title
Classification of body fatness by body mass index-for-age categories among children.
Source
Archives of Pediatrics & Adolescent Medicine. 163(9):805-11, 2009 Sep.
Abstract
OBJECTIVE: To examine the ability of various body mass index (BMI)-for-age categories, including the Centers for Disease Control and Prevention's 85th to 94th percentiles, to correctly classify the body fatness of children and adolescents. DESIGN: Cross-sectional. SETTING: The New York Obesity Research Center at St Luke's-Roosevelt Hospital from 1995 to 2000. PARTICIPANTS: Healthy 5- to 18-year-old children and adolescents (N = 1196) were recruited in the New York City area through newspaper notices, announcements at schools and activity centers, and word of mouth. MAIN OUTCOME MEASURES: Percent body fat as determined by dual-energy x-ray absorptiometry. Body fatness cutoffs were chosen so that the number of children in each category (normal, moderate, and elevated fatness) would equal the number of children in the corresponding BMI-for-age category (<85th percentile, 85th-94th percentile, and > or =95th percentile, respectively). RESULTS: About 77% of the children who had!
a BMI for age at or above the 95th percentile had an elevated body fatness, but levels of body fatness among children who had a BMI for age between the 85th and 94th percentiles (n = 200) were more variable; about one-half of these children had a moderate level of body fatness, but 30% had a normal body fatness and 20% had an elevated body fatness. The prevalence of normal levels of body fatness among these 200 children was highest among black children (50%) and among those within the 85th to 89th percentiles of BMI for age (40%). CONCLUSION: Body mass index is an appropriate screening test to identify children who should have further evaluation and follow-up, but it is not diagnostic of level of adiposity.
Publication Type
Journal Article. Research Support, N.I.H., Extramural.
Result <3>
Unique Identifier
19640961
Status
MEDLINE
Authors
Corvalan C. Uauy R. Stein AD. Kain J. Martorell R.
Authors Full Name
Corvalan, Camila. Uauy, Ricardo. Stein, Aryeh D. Kain, Juliana. Martorell, Reynaldo.
Institution
Emory University, Atlanta, GA, USA.
Title
Effect of growth on cardiometabolic status at 4 y of age.
Source
American Journal of Clinical Nutrition. 90(3):547-55, 2009 Sep.
Abstract
BACKGROUND: Cardiovascular disease (CVD) risks are increasingly being diagnosed in children and track into adulthood. Growth is associated with CVD risk in adulthood; however, its contribution to CVD risks in children facing the obesity epidemic is unclear. OBJECTIVE: The objective was to assess relations between growth from age 0 to 4 y and CVD status at 4 y in 323 Chilean children with normal birth weight. DESIGN: From health records we obtained weight and height every 6 mo from age 0 to 3 y and calculated body mass index (BMI; weight/height(2)). At age 4 y, we measured height, waist circumference, insulin, glucose, and plasma lipids; infant feeding information was provided by the mothers. Outcomes were metabolic score (waist-to-height ratio + glucose + insulin + triglycerides - HDL-cholesterol z scores/5), total cholesterol (TC):HDL cholesterol, and homeostasis model of assessment of insulin resistance. RESULTS: At 4 y, the prevalence of obesity was 13%. Changes in BMI,!
particularly from 6 to 24 mo, predicted a higher metabolic score (standardized regression coefficient = 0.29; 95% CI: 0.16, 0.42) but were unrelated to homeostasis model of assessment of insulin resistance and TC:HDL cholesterol. Height changes were not associated with CVD risks at the age of 4 y. Mode of infant feeding was unrelated to CVD status at 4 y; however, in children who were exclusively breastfed at 4 mo, an increase in BMI from 0 to 6 mo was positively associated with TC:HDL cholesterol at 4 y (standardized regression coefficient = 0.24; 95% CI: -0.02, 0.50), whereas in children who were partially or nonbreastfed at 4 mo, it was negatively associated with TC:HDL cholesterol at 4 y (standardized regression coefficient = -0.30; 95% CI: -0.52, -0.08). CONCLUSION: In children with normal birth weight and a high prevalence of obesity at 4 y, changes in BMI after 6 mo predicted a higher overall CVD risk at 4 y.
Publication Type
Journal Article. Research Support, Non-U.S. Gov't.
Result <4>
Unique Identifier
19615731
Status
MEDLINE
Authors
Clerisme-Beaty EM. Karam S. Rand C. Patino CM. Bilderback A. Riekert KA. Okelo SO. Diette GB.
Authors Full Name
Clerisme-Beaty, Emmanuelle M. Karam, Sabine. Rand, Cynthia. Patino, Cecilia M. Bilderback, Andrew. Riekert, Kristin A. Okelo, Sande O. Diette, Gregory B.
Institution
Department of Medicine, Johns Hopkins University, Baltimore, MD, USA.
Title
Does higher body mass index contribute to worse asthma control in an urban population?.
Source
Journal of Allergy & Clinical Immunology. 124(2):207-12, 2009 Aug.
Other ID
Source: NLM. NIHMS123143 [Available on 08/01/10]
Source: NLM. PMC2733240 [Available on 08/01/10]
Abstract
BACKGROUND: Epidemiologic findings support a positive association between asthma and obesity. OBJECTIVE: Determine whether obesity or increasing level of body mass index (BMI) are associated with worse asthma control in an ethnically diverse urban population. METHODS: Cross-sectional assessment of asthma control was performed in patients with asthma recruited from primary care offices by using 4 different validated asthma control questionnaires: the Asthma Control and Communication Instrument (ACCI), the Asthma Control Test (ACT), the Asthma Control Questionnaire (ACQ), and the Asthma Therapy Assessment Questionnaire (ATAQ). Multiple linear regression analysis was performed to evaluate the association between obesity and increasing BMI level and asthma control. RESULTS: Of 292 subjects with a mean age of 47 years, the majority were women (82%) and African American (67%). There was a high prevalence of obesity with 63%, with only 15% normal weight. The mean score from all 4!
questionnaires showed an average suboptimal asthma control (mean score/maximum possible score): ACCI (8.3/19), ACT (15.4/25), ACQ (2.1/6), and ATAQ (1.3/4). Regression analysis showed no association between obesity or increasing BMI level and asthma control using all 4 questionnaires. This finding persisted even after adjusting for FEV(1), smoking status, race, sex, selected comorbid illnesses, and long-term asthma controller use. CONCLUSION: Using 4 validated asthma control questionnaires, we failed to find an association between obesity and asthma control in an urban population with asthma. Weight loss may not be an appropriate strategy to improve asthma control in this population.
Publication Type
Journal Article. Research Support, N.I.H., Extramural.
Result <5>
Unique Identifier
19123432
Status
MEDLINE
Authors
Delgado J. Barranco P. Quirce S.
Authors Full Name
Delgado, J. Barranco, P. Quirce, S.
Institution
Allergy Service, University Hospital Virgen Macarena, Sevilla, Spain.
Title
Obesity and asthma. [Review] [51 refs]
Source
Journal of Investigational Allergology & Clinical Immunology. 18(6):420-5, 2008.
Abstract
Asthma and obesity have a considerable impact on public health and their prevalence has increased in recent years. Numerous studies have linked these disorders. Most prospective studies show that obesity is a risk factor for asthma and have found a positive correlation between baseline body mass index and the subsequent development of asthma. Furthermore, several studies suggest that whereas weight gain increases the risk of asthma, weight loss improves the course of the illness. Different factors could explain this association. Obesity is capable of reducing pulmonary compliance, lung volumes, and the diameter of peripheral respiratory airways as well as affecting the volume of blood in the lungs and the ventilation-perfusion relationship. Furthermore, the increase in the normal functioning of adipose tissue in obese subjects leads to a systemic proinflammatory state, which produces a rise in the serum concentrations of several cytokines, the soluble fractions of their re!
ceptors, and chemokines. Many of these mediators are synthesized and secreted by cells from adipose tissue and receive the generic name of adipokines, including IL-6, IL-10, eotaxin, tumor necrosis factor-alpha, transforming growth factors-beta1, C-reactive protein, leptin, and adiponectin. Finally, specific regions of the human genome related to both asthma and obesity have been identified. Most studies point out that obesity is capable of increasing the prevalence and incidence of asthma, although this effect appears to be modest. The treatment of obese asthmatics must include a weight control program. [References: 51]
Publication Type
Journal Article. Review.
Result <6>
Unique Identifier
19183310
Status
MEDLINE
Authors
Viner RM. Hindmarsh PC. Taylor B. Cole TJ.
Authors Full Name
Viner, R M. Hindmarsh, P C. Taylor, B. Cole, T J.
Institution
Children and Young People's Diabetes Service, University College London, London, UK.
Title
Childhood body mass index (BMI), breastfeeding and risk of Type 1 diabetes: findings from a longitudinal national birth cohort.
Source
Diabetic Medicine. 25(9):1056-61, 2008 Sep.
Abstract
AIMS: To perform a longitudinal analysis of the association between childhood body mass index (BMI) and later risk of Type 1 diabetes, controlling for socio-economic status, birthweight, height in early and late childhood, breastfeeding history and pubertal status. METHODS: Analysis of the 1970 British Birth Cohort, followed up at age 5, 10 and 30 years (n = 11,261). Data were available on birthweight, breastfeeding; height, weight, pubertal status, socio-economic status at age 10 years; self-report data on history of diabetes (type, age at onset) at age 30 years. Cox proportional hazards models were used to examine relations of childhood growth, socio-economic status and breastfeeding history to the incidence of Type 1 diabetes between 10 and 30 years of age. RESULTS: Sixty-one subjects (0.5%) reported Type 1 diabetes at 30 years of age; 47 (77%) reported onset >or= age 10 years. Higher BMI z-score at 10 years predicted higher risk of subsequent Type 1 diabetes (hazard ra!
tio 1.8, 95% confidence interval 1.2 to 2.8, P = 0.01) when adjusted for birthweight, pubertal status, breastfeeding history and socio-economic status. Repeating the model for childhood obesity, the hazard ratio was 3.1 (1.0, 9.3; P = 0.05). Birthweight, breastfeeding, height growth and pubertal timing were not associated with incidence of Type 1 diabetes. CONCLUSIONS: Higher BMI in childhood independently increased the risk of later Type 1 diabetes, supporting suggestions that obesity may provide a link between Type 1 and Type 2 diabetes. This supports observations of a rise in Type 1 diabetes prevalence. Reduction in childhood obesity may reduce the incidence of Type 1 as well as Type 2 diabetes.
Publication Type
Journal Article. Research Support, Non-U.S. Gov't.
Result <7>
Unique Identifier
19558003
Status
MEDLINE
Authors
Dogra S. Baker J. Ardern CI.
Authors Full Name
Dogra, Shilpa. Baker, Joseph. Ardern, Chris I.
Institution
Lifespan Health and Performance Laboratory, York University, Toronto, Ontario, Canada.
Title
The role of physical activity and body mass index in the health care use of adults with asthma.
Source
Annals of Allergy, Asthma, & Immunology. 102(6):462-8, 2009 Jun.
Abstract
BACKGROUND: Health care use in patients with asthma is affected by many factors, including sex and ethnicity. The role of physical activity (PA) and body mass index (BMI) (calculated as weight in kilograms divided by height in meters squared) in this relationship is unknown. OBJECTIVE: To determine the role of PA and BMI in the health care use of patients with asthma. METHODS: A sample of adults with asthma (n=6,835) and without asthma (n=78,051) from cycle 3.1 of the Canadian Community Health Survey was identified. Health care use was self-reported as overnight hospital stays (yes or no), length of overnight hospital stay (<4 or > or =4 nights), and physician consultations (<3 or > or =3). Self-reported physical activities were used to derive total energy expenditure and to classify participants as active (>3.0 kcal/kg of body weight per day), moderately active (1.5-3.0 kcal/kg of body weight per day), and inactive (<1.5 kcal/kg of body weight per day). The BMI was catego!
rized as normal weight (18.5-24.9), overweight (25.0-29.9), and obese (30.0-59.9). RESULTS: Adjusted logistic regression models revealed that patients with asthma were more likely to have an overnight hospital stay (odds ratio [OR], 2.25; 95% confidence interval [CI], 1.95-2.60), 4 or more overnight hospital stays (OR, 1.48; 95% CI, 1.12-1.96), and 3 or more physician consultations (OR, 2.43; 95% CI, 2.18-2.71) compared with patients without asthma (OR, 1.00). Inactive patients with asthma were more likely to have an overnight hospital stay (OR, 1.68; 95% CI, 1.31-2.16) and 3 or more physician consultations (OR, 1.23; 95% CI, 1.04-1.46) than active patients with asthma (OR, 1.00). Inactive/obese patients with asthma were 2.35 (95% CI, 1.69-3.27) times more likely to have an overnight hospital stay and 2.76 (95% CI, 2.11-3.60) times more likely to have 3 or more physician consultations than active/normal weight patients with asthma (OR, 1.00). CONCLUSIONS: Higher PA levels a!