Body Mass Index and Asthma in the Military Population of the Northwestern United States

Young, Scott W.; Gunzenhauser, Jeffrey D.; Malone, Kathleen E.; McTiernan, Anne

doi:10.1001/archinte.161.13.1605

Cited by 118 publications

(71 citation statements)

References 25 publications

(13 reference statements)

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“…The effects of overweight and obesity on asthma hold when the analysis is done separately for women aged 15À29 and 30À49 y. These findings are consistent with other growing evidence, some from prospective cohort studies, [10][11][12][13][14][15][16][17][18][19][25][26][27][28] and provide further evidence, from a developing-country setting, that obesity may increase the risk of asthma in adult women. Underweight women have a significantly higher risk of asthma than women with a normal BMI, consistent with greater vulnerability of undernourished women in developing countries to a host of other diseases.…”

Section: Discussionsupporting

confidence: 87%

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Effect of obesity on asthma among adult Indian women

Mishra

2004

Int J Obes

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OBJECTIVE: Both obesity and asthma are on the rise worldwide. This study examined the association between obesity and asthma prevalence in adult women in India. METHODS: The analysis used information on 82 464 nonpregnant, ever-married women aged 15À49 y, included in India's 1998À99 National Family Health Survey. The effects of measured Body Mass Index (BMI) on reported asthma were estimated using logistic regression, after adjusting for tobacco smoking (active and passive), cooking smoke, age, education, work status, media habits, food habits, house type, separate kitchen, indoor crowding, religion, caste/tribe, household living standard, urban/rural residence, and geographic region. RESULTS: Obese women (BMIZ30.0 kg/m 2 ) were about twice as likely as those with a normal BMI (18.5À25.0 kg/m 2 ) to report suffering from asthma (OR ¼ 1.92; 95% CI: 1.40À2.65). The association between obesity and asthma remained strong and statistically significant even when the effects of other selected risk factors and potential confounders were controlled (OR ¼ 1.85; 95% CI: 1.30À2.63). Overweight women (25.0rBMIo30.0 kg/m 2 ) also reported significantly higher adjusted asthma prevalence than those with a normal BMI (OR ¼ 1.32; 95% CI: 1.07À1.63). Results hold in separate analysis for younger (15À29 y) and older (30À49 y) women. CONCLUSION: The study finds a strong positive association between obesity and asthma among adult Indian women. To validate this relationship and to establish causality, prospective epidemiological studies, with better measures of overweight conditions and clinical measures of asthma, are needed in developing-country settings.

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Section: Discussionsupporting

confidence: 87%

“…A number of studies have associated obesity and asthma in adults [10][11][12][13][14][15][16][17] and in children. 18,19 Obesity has also been linked with impaired pulmonary function and airway hyperresponsiveness, [20][21][22][23] but not in all studies.…”

Section: Introductionmentioning

confidence: 99%

Effect of obesity on asthma among adult Indian women

Mishra

2004

Int J Obes

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“…Mothers suffering from an atopic disease tend to breastfeed their infants longer than nonatopic mothers, 35 and there appears to be a tendency for a higher prevalence of asthma in overweight children and adults; other atopies do not seem to be related to BMI. 40,41 If obesity were a potential risk factor for asthma, it would not interfere with our observations and interpretation, as the tendency of atopic mothers to breast-feed for longer, and yet a possibly higher prevalence of overweight in asthmatic children, could only have increased the prevalence of overweight or obesity in the breast-fed group, thereby diminishing the difference between groups.…”

Section: Risk Factorsmentioning

confidence: 87%

Early determinants of childhood overweight and adiposity in a birth cohort study: role of breast-feeding

et al. 2003

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BACKGROUND:The prevalence of adiposity in childhood is increasing. Is breast-feeding protective as suggested by cross-sectional studies? OBJECTIVE: In a longitudinal birth cohort study, we tested whether breast-feeding for more than 2 months has preventive effects against overweight and adiposity at 6 y. DESIGN: Of 1314 children representing the catchment areas of six delivery units, 918 could be followed up to the age of 6 y. Height, weight, and skin-fold thickness were measured at regular visits. As the criteria of overweight, obesity, and adiposity in the children, the 90th and the 97th percentiles of BMI and skin-fold values were used. Parents with a BMI at or above the 90th percentile, which was 27 kg/m 2 or more, were considered overweight. Infants bottle-fed from birth or breast-fed for less than 3 months were classified as 'bottle-fed' (BO), and those breast-fed for 3 months and more as 'breast-fed' (BR). Univariate comparisons and logistic regression analysis were performed applying SAS 6.12. The final logistic model consisted of the 480 cases for whom complete data for all variables were available. The potential effect of loss to follow-up was analysed by the Cochran-Mantel-Haenzel test: the outcomes were not significantly influenced by loss to follow-up. RESULTS: At birth BMIs were nearly identical in both groups. By 3 months, BO had significantly higher BMIs and thicker skin folds than BR. From 6 months on, compared to BR, a consistently higher proportion of BO children exceeded the 90th and the 97th percentile of BMI and skin-fold thickness reference values. From the age of 4 y to 5 and 6 y, in BO the prevalence of obesity nearly doubled and tripled, respectively. With only minor changes of obesity prevalence in BR, the difference of BMI and skinfold thickness between groups became statistically significant. Logistic regression analysis revealed that overweight of the mother, maternal smoking during pregnancy, bottle feeding, and low social status remained important risk factors for overweight and adiposity at 6 y of age. CONCLUSION: A maternal BMI of 27, bottle-feeding, maternal smoking during pregnancy, and low social status are risk factors for overweight and adiposity at 6 y of age. Early bottle-feeding brings forward the obesity rebound, predictive of obesity in later life.

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“…[16,17,18] Obesity has been connected with impaired airway hyper responsiveness and pulmonary function, [19,20] but not in all studies and with asthma in adults. [21,22] In a lean person, the waist can be measured at its narrowest point, while for a person with convex waist; it may be measured at about one inch [23]. The aim of the present study is" To determine the pulmonary function parameters in normal young healthy non-smoking male and female medical students of Karachi Medical and Dental College in order to get normal reference values for population of waist hip ratio and PEFR values than their young male counterparts.…”

Section: Introductionmentioning

confidence: 99%

Variation of PEFR with height, weight and waist-hip ratio in medical students

2015

Int Arch Med

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Objective: The primary aim of our study was to assess the variation of PEFR with various anthropometric measurements in medical students of Karachi, Pakistan.Design: Cross-sectional study.Setting: Medical students of Karachi Medical and Dental College.Participants: 276 non-smoker healthy medical students composed of 168 females and 108 males.Variable parameters: They include mean age, body height and body weight and PEFR. They were marked separately for each gender. Results:The mean waist hip ratio in females was observed to be 0.843±0.111 in relation with that of mean PEFR value 452.97±65.84 L/min, whereas in males the mean waist hip ratio was 0.864±0.028 in relation with that of mean PEFR value 445.93±66.49 L/min. Also there is a statistically significant variation in PEFR with an increase in waist hip ratio. The mean height of males was 173.63±7.5 cm and weight was 61.81±11.25 Kg while mean height of females was 158.56±7.3 cm and weight was 49.33±9.04 Kg. PEFR is positively correlated with increase in height and weight up to a certain limit. Conclusion:The study concludes that PEFR is affected positively by variation in waist hip ratio; moreover young females have more

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Body Mass Index and Asthma in the Military Population of the Northwestern United States

Abstract: Increasing body mass index is a key factor predicting prevalence of asthma and, if determined to be etiologically related to asthma incidence, is a potentially modifiable risk factor for asthma.

Cited by 118 publications

References 25 publications

Effect of obesity on asthma among adult Indian women

Effect of obesity on asthma among adult Indian women

Early determinants of childhood overweight and adiposity in a birth cohort study: role of breast-feeding

Variation of PEFR with height, weight and waist-hip ratio in medical students

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