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Query: UMLS:C0028754 (obesity)
 124,988 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

The purpose of this study was to examine the associations between smoking, physical inactivity, obesity, and asthma severity among US adults. The magnitude of these associations was very strong. For example, those who visited an emergency room in the past year were 60% more likely than those who did not to smoke; those who used an inhaler > or =15 times in the past month (versus those who did not use an inhaler) were 90% more likely to be physically inactive; and those who had asthma symptoms all the time in the past 30 days (versus those with no symptoms) were 80% more likely to be obese.
J Asthma 2007 Oct
PMID:The associations between smoking, physical inactivity, obesity, and asthma severity in the general US population. 1794 77

To evaluate physical activity, obesity and asthma, we analyzed information from children attending a racially diverse middle-class suburban school district. Physical activity in metabolic equivalents (METS) and percent body fat were related to diagnosed asthma. On average the, 636 children were 8.9 years of age, 64.0% black, and 11.8% with reported asthma. Children with asthma were more active: 6,438 versus 5,432 METs/year, p = 0.03. Logistic regression considering METs, percent fat, gender and race showed METs were a significant risk factor for asthma, odds ratio (OR) = 1.24 (95% CI 1.01-1.52, p = 0.045). Higher levels of physical activity were related to more diagnosed asthma.
J Asthma 2007 Dec
PMID:The relationship of physical activity and percentage of body fat to the risk of asthma in 8- to 10-year-old children. 1809 68

Asthma control is a key point in patient management. GINA's most recent report emphasises the need to investigate uncontrolled asthma, of which non-compliance with treatment, COPD, smoking, chronic sinusitis, gastroesophageal reflux disease and obesity are the usual causes. The aim of this work is to evaluate the role of pulmonary thromboembolism (PTE) in cases of difficult- -to-treat asthma. We reviewed the case reports of patients with severe persistent asthma followed in our Asthma Outpatients Clinic between 2004 and 2006. We selected the ones that maintained uncontrolled disease despite an optimal therapeutical approach and investigated the causes. In this group (n=254), 28 (11%) had severe persistent asthma and their mean age was 44 +/- SD18 years old. 86% were females. Of these, 57% (n=16) had uncontrolled disease: 35% (n=6) due to non-compliance with treatment; 29% (n=5) pulmonary thrombombolism (scintigraphic confirmation); 12% (n=2) severe rhinosinusitis; 6% (n=1) hypereosinophilic syndrome; 6% (n=1) persistent allergen exposure and 6% (n=1) are still being investigated. Patients with TPE (mean age 56 +/- SD9 years old; 80% females; 80% Caucasians) were diagnosed with asthma as adults (mean age 37 +/- SD14 years old). The mean time until the diagnosis of TPE was 18 +/- SD12 years. Predisposing factors for TPE were venous insufficiency (40%), hypertension (40%) and deficit of functional protein C and S (20%). All these patients received anticoagulant therapy (80% are still medicated). It should be noted that after the beginning of anticoagulants, 40% of the patients achieved control of their asthma and 40% have partially controlled disease. There were no hospital admissions for asthma exacerbations after the beginning of anticoagulation in this group. This study supports the inclusion of TPE in the group of comorbidities to consider while investigating uncontrolled asthma.
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PMID:[Pulmonary embolism and difficult-to-treat asthma]. 1818 29

Epidemiological studies indicate that adult-onset asthma is initiated by stress (anxiety and depression), obesity and menopause. Ironically, despite our understanding of the various stressors that promote chronic adult-onset asthma, most of which are known to elevate cortisol production via the hypothalamic-pituitary-adrenal (HPA) axis, inhaled and systemic corticosteroids are the mainstay for the treatment of chronic asthma. This implicates other endocrine or cellular changes independent of cortisol synthesis in non-allergic adult-onset asthma. The mechanism by which corticosteroids are thought to modulate bronchial tone in relieving asthma is via corticosteroid-responsive genes that increase PGE(2) and cAMP production which promote muscle relaxation. Therefore, any physiological condition that suppresses intracellular PGE(2) and cAMP production would counter cortisol-induced muscle relaxation and potentially trigger non-allergic adult-onset asthma. Stress, obesity and menopause act on three interrelated endocrine pathways, the serotonergic, leptinergic and hypothalamic pathways, all of which operate through receptors to modulate cAMP and Ca(2+) metabolism in smooth muscle cells (SMCs). We propose that the level of SMC cAMP, as determined by overall signaling through corticosteroid receptors, leptin receptors and the GPCRs of the HPG and serotonergic pathways, will regulate bronchial tone (i.e. the 'Multi-Hit Endocrine Model of Adult-Onset Asthma'). Thus, decreases in HPG (menopause) and serotonergic (depression) signaling and increases in leptinergic (obesity) signaling relative to HPA signaling would decrease cellular SMC cAMP and promote muscle contraction. This model can explain the discrepant epidemiological data associating stress, obesity, depression and menopause with adult-onset asthma and is supported by basic and clinical data. Treatment of depressed or menopausal asthmatics with selective serotonin reuptake inhibitors or hormone replacement therapy, respectively, alleviates bronchoconstriction. Future therapeutic strategies might therefore target the serotonergic, leptinergic and hypothalamic pathways in regulating cellular cAMP production and bronchoconstriction for the treatment of adult-onset asthma.
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PMID:A multi-hit endocrine model of intrinsic adult-onset asthma. 1837 59

Breastfeeding has been associated with a reduced risk of overweight later in life. This study investigates whether differences in diet and lifestyle at 7 years of age between breastfed and formula-fed children can explain the difference in overweight prevalence at 8 years of age. We studied 2,043 Dutch children born in 1996-1997 who participated in the Prevention and Incidence of Asthma and Mite Allergy birth cohort study. Data on breastfeeding duration and diet and lifestyle factors at 7 years were collected using questionnaires. Weight and height were measured at 8 years. Overweight was defined according to international gender- and age-specific standards. Compared to nonbreastfed children (15.5%, n = 316), children breastfed for >16 weeks (38.0%, n = 776) consumed fruit and vegetables significantly more often and meat, white bread, carbonated soft drinks, chocolate bars, and fried snacks less often. Overall, breastfed children were less likely to have an unhealthy diet (adjusted prevalence ratio: 0.77, 95% confidence interval: 0.61-0.98). The associations could only partly be explained by maternal education, maternal overweight, and smoking during pregnancy. At 8 years, 14.5% (n = 297) of the children were overweight. Breastfeeding for >16 weeks was significantly associated with a lower overweight risk at 8 years (adjusted odds ratio: 0.67, 95% confidence interval: 0.47-0.97), and the association hardly changed after adjustment for diet (adjusted odds ratio: 0.71, 95% confidence interval: 0.49-1.03). Breastfed children had a healthier diet at 7 years compared to nonbreastfed children, but this difference could not explain the lower overweight risk at 8 years in breastfed children.
Obesity (Silver Spring) 2008 Nov
PMID:Do differences in childhood diet explain the reduced overweight risk in breastfed children? 1875 63

To better understand risk factors associated with current asthma in a low-income, ethnically diverse population, we analyzed pooled data from the 2004-2006 Behavioral Risk Factor Surveillance System survey conducted in Salinas, CA. We were particularly interested in modifiable risk factors, as the survey was conducted as part of a large community-based intervention that addresses asthma, obesity, and diabetes. We also conducted semi-structured interviews with key informants involved with the clinical, school, and community aspects of the intervention to inform the intervention's progress, and adapt practices and programs to reach those most in need. Of the 4925 adults in this analysis, 51% were Mexican-American and 32% lacked a high-school diploma; 227 women and 84 men had current asthma, and 194 were parents of children with current asthma; prevalences of 7.7%, 4.3%, and 7.0% respectively. Over 20% of women and men with asthma were current smokers and/or exposed to passive smoking, more than 50% reported less than the recommended 60 minutes or more of physical activity per day, and approximately 40% were obese or morbidly obese (42% of women and 36% of men compared to 26% of adults without asthma). Two of the strongest modifiable risk factors associated with current asthma and identified by the stepwise multiple regression models were: could not afford prescription medication(s) in the past 12 months (OR 2.5, p < 0.001 for adults with asthma, OR 1.8, p < 0.01 for parents of children with asthma) and morbid obesity (OR 3.4, p < 0.001 for adults with asthma). Among adults who reported one or more episodes of asthma in the past 30 days, 28% of women and 30% of men had not used a preventive medication, and 48% of women and 57% of men had not used a prescription asthma inhaler (20% had not used either). This study adds to the scarce body of literature on the prevalence of asthma and related risk factors in a predominately Mexican-American, semi-rural community, and illustrates how survey and key informant data can enhance knowledge of local study populations and guide interventions to improve asthma control and treatment.
J Asthma 2008 Sep
PMID:Evaluation of risk factors and a community intervention to increase control and treatment of asthma in a low-income semi-rural California community. 1877 28

To explore whether asthma and obesity share overlapping pathogenic features, we examined the impact of each alone, and in combination, on multiple aspects of lung function. We reasoned that if they influenced the lungs through similar mechanisms, the individual physiological manifestations in the comorbid state should interact in a complex fashion. If not, then the abnormalities should simply add. We measured specific conductance, spirometry, lung volumes, and airway responsiveness to adrenergic and cholinergic agonists in 52 normal, 53 asthmatic, 52 obese, and 53 asthmatic and obese patients using standard techniques. Six-minute walks were performed in subsets from each group. Asthma significantly lowered specific conductance and the spirometric variables while increasing airway reactivity and residual volume. Obesity also reduced the spirometric variables as well as total lung capacity and functional residual capacity. Residual volume, specific conductance, and airway responsivity were unaltered. With comorbidity, the disease-specific derangements added algebraically. Features that existed in isolation appeared unchanged in the combination, whereas shared ones either added or subtracted depending on the individual directional changes. Synergistic interactions were not observed. Body mass index weakly correlated with spirometry and lung volumes in asthma, but not with specific conductance or bronchial reactivity. Exercise performance did not aid in differentiation. Our findings indicate asthma and obesity appear to influence the respiratory system through different processes.
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PMID:Observations on the physiological interactions between obesity and asthma. 1878 93

None of the epidemiological studies indicating that obesity is a risk factor for asthma in schoolchildren have used the percent body fat (PBF) to define obesity. The present study compares the definition of obesity using body mass index (BMI), PBF and the raw sum of the thickness of four skinfolds (SFT) to evaluate this condition as a risk factor for asthma. All classes of children of the target ages of 6-8 years of all schools in four municipalities of Murcia (Spain) were surveyed. Participation rate was 70.2% and the number of children included in the study was 931. Height, weight and SFT (biceps, triceps, subscapular and suprailiac) were measured according to standard procedures. Current active asthma was defined from several questions of the International Study of Asthma and Allergies in Childhood questionnaire. Obesity was defined using two standard cut-off points for BMI and PBF, and the 85th percentile for BMI, PBF and SFT. The highest quartile of each type of measurement was also compared with the lowest. A multiple logistic regression analysis was made for the various obesity definitions, adjusting for age, asthma in the mother and father and gender. The adjusted odds ratios of having asthma among obese children were different for boys and girls and varied across the different obesity definitions. For the standard cut-off points of BMI they were 1.19 [95% confidence interval (CI) 0.41-3.43] for girls and 2.00 (95% CI 0.97-4.10) for boys; however, for PBF (boys 25%, girls 30%) the corresponding figures were 1.54 (95% CI 0.63-3.73) and 1.20 (95% CI 0.66-2.21). BMI, PBF and SFT showed more consistency between each other when using the other cut-off points. BMI, PBF (except standard cut-off points) and SFT produce relatively comparable results when analysing the interaction between obesity and asthma.
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PMID:Percent body fat, skinfold thickness or body mass index for defining obesity or overweight, as a risk factor for asthma in schoolchildren: which one to use in epidemiological studies? 1881 94

Asthma and obesity disproportionately affect US African-American youth. Among youth with asthma, obesity has been associated with poor control. The impact of gender on this association is unclear. We examined these relationships in a sample of urban, African-American adolescents with asthma. Questionnaires were used to identify high school students with asthma, and to examine the association of body mass index (BMI) to asthma morbidity, by gender. Of 5967 students completing questionnaires, 599 (10%) met criteria for asthma and 507 had data sufficient for inclusion in further analyses (46% male, mean age = 15.1 yr). Univariately, BMI > 85th percentile was significantly related only to reported emergency department visits (ED) and school days missed for any reason, Odds Ratio (95%Confidence Interval) = 1.7(1.1-2.7), p = 0.01 and 1.8(1.1-3.0), p = 0.01, respectively. A significant gender-BMI interaction (p < 0.05) was observed in multivariate models for ED visits, hospitalizations and school days missed for asthma. In gender-specific models, adjusted Risk Ratios for BMI > 85th and ED visits, hospitalizations, and school days missed because of asthma were 1.7(0.9-3.2), 6.6(3.1-14.6) and 3.6(1.8-7.2) in males. These associations were not observed in females. Gender modifies the association between BMI and asthma-related morbidity among adolescents with asthma. Results have implications for clinical management as well as future research.
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PMID:Gender differences in the association of overweight and asthma morbidity among urban adolescents with asthma. 1882 59

Asthma and obesity are prevalent disorders, each with a significant impact on the public health. The causality relating obesity and asthma has not been established. The objective of this article is to investigate whether asthma could exacerbate the endothelial activation and to determine the relationship between systemic inflammation and endothelial activation in obese asthmatic children. Eighty-nine children (10-16 years old) were divided according to their diagnosis (asthma, obese nonasthmatic, and obese asthmatic children). Twenty healthy children formed the control group. Three adhesion molecules (E-selectin, sICAM-1, and sVCAM-1) and C-reactive protein (CRP) were measured in serum samples. The levels of sICAM-1 were significantly higher in obese nonasthmatic and obese asthmatic children versus control and lean asthmatic children (414.7+/-154.7, 434.9+/-181.1, 238.6+/-117.8, and 351.2+/-153.5 ng/mL, respectively). No difference was observed between obese nonasthmatic and obese asthmatic groups. No difference of the levels of CRP, E-selectin, and sVCAM-1 was found among the study groups. Correlation analysis showed that E-selectin associated significantly with body mass index (BMI), CRP and the other two adhesion molecules. CRP depended on BMI. sICAM-1 associated with CRP, BMI, and triglycerides. Correlations were verified in multiple regression analysis models in the whole study groups: CRP levels depended on sICAM-1, E-selectin, and sICAM-1 concentrations depended on BMI. Correlations were verified in asthmatic subjects: CRP depended on sICAM-1. These results confirmed the endothelial activation in obese children. Mild nonallergic asthma in our study did not exacerbate the endothelial activation in obese or lean asthmatic children. Significant association between systemic inflammation and endothelial activation was observed in asthmatic children.
Allergy Asthma Proc
PMID:Endothelial activation and systemic inflammation in obese asthmatic children. 1892 53


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