7
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      The impact of body mass index, central obesity and physical activity on lung function: results of the EpiHealth study

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Study objectives

          Obesity is often associated with lower lung function; however, the interaction of lung function with central obesity and physical inactivity is less clear. As such, we investigated the effect on lung function of body size (body mass index (BMI)), central obesity (waist circumference (WC)) and self-reported physical activity.

          Methods

          Lung function, height, weight and WC were measured in 22 743 participants (12 791 women), aged 45–75 years, from the EpiHealth cohort study. Physical activity, gender and educational level were assessed using a questionnaire.

          Results

          Obesity, central obesity and physical inactivity were all associated with lower forced expiratory volume in 1 s (FEV 1) and forced vital capacity (FVC). However, in participants without central obesity there was an increase in both FEV 1 and FVC by BMI (% predicted FVC increasing from median 98%, interquartile range (IQR) 89–110% in underweight participants (BMI <20) to 103%, IQR 94–113% in obese participants (BMI ≥30)). In contrast, there was a decrease in % predicted FVC in participants with central obesity (from 98%, IQR 89–109% in the normal weight group to 95%, IQR 85–105% in the obese weight group). We further found a negative association between physical activity and lung function among those with low and high levels of physical activity (% predicted FEV 1 97%, IQR 86–107% versus 103%, IQR 94–113%, respectively and % predicted FVC 96%, IQR 85–106% versus 103%, IQR 94–113%, respectively). All results remained when calculated by z-scores.

          Conclusions

          The association between BMI and lung function is dependent on the presence of central obesity. Independent of obesity, there is an association between physical activity and lung function.

          Abstract

          BMI and central obesity are related to lung function in the middle-aged and elderly. BMI association with lung function is dependent on the presence of central obesity, while the association of physical activity and lung function is independent of obesity. https://bit.ly/3eQl86C

          Related collections

          Most cited references36

          • Record: found
          • Abstract: found
          • Article: not found

          Global, regional, and national prevalence of overweight and obesity in children and adults during 1980-2013: a systematic analysis for the Global Burden of Disease Study 2013.

          In 2010, overweight and obesity were estimated to cause 3·4 million deaths, 3·9% of years of life lost, and 3·8% of disability-adjusted life-years (DALYs) worldwide. The rise in obesity has led to widespread calls for regular monitoring of changes in overweight and obesity prevalence in all populations. Comparable, up-to-date information about levels and trends is essential to quantify population health effects and to prompt decision makers to prioritise action. We estimate the global, regional, and national prevalence of overweight and obesity in children and adults during 1980-2013. We systematically identified surveys, reports, and published studies (n=1769) that included data for height and weight, both through physical measurements and self-reports. We used mixed effects linear regression to correct for bias in self-reports. We obtained data for prevalence of obesity and overweight by age, sex, country, and year (n=19,244) with a spatiotemporal Gaussian process regression model to estimate prevalence with 95% uncertainty intervals (UIs). Worldwide, the proportion of adults with a body-mass index (BMI) of 25 kg/m(2) or greater increased between 1980 and 2013 from 28·8% (95% UI 28·4-29·3) to 36·9% (36·3-37·4) in men, and from 29·8% (29·3-30·2) to 38·0% (37·5-38·5) in women. Prevalence has increased substantially in children and adolescents in developed countries; 23·8% (22·9-24·7) of boys and 22·6% (21·7-23·6) of girls were overweight or obese in 2013. The prevalence of overweight and obesity has also increased in children and adolescents in developing countries, from 8·1% (7·7-8·6) to 12·9% (12·3-13·5) in 2013 for boys and from 8·4% (8·1-8·8) to 13·4% (13·0-13·9) in girls. In adults, estimated prevalence of obesity exceeded 50% in men in Tonga and in women in Kuwait, Kiribati, Federated States of Micronesia, Libya, Qatar, Tonga, and Samoa. Since 2006, the increase in adult obesity in developed countries has slowed down. Because of the established health risks and substantial increases in prevalence, obesity has become a major global health challenge. Not only is obesity increasing, but no national success stories have been reported in the past 33 years. Urgent global action and leadership is needed to help countries to more effectively intervene. Bill & Melinda Gates Foundation. Copyright © 2014 Elsevier Ltd. All rights reserved.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Multi-ethnic reference values for spirometry for the 3-95-yr age range: the global lung function 2012 equations.

            The aim of the Task Force was to derive continuous prediction equations and their lower limits of normal for spirometric indices, which are applicable globally. Over 160,000 data points from 72 centres in 33 countries were shared with the European Respiratory Society Global Lung Function Initiative. Eliminating data that could not be used (mostly missing ethnic group, some outliers) left 97,759 records of healthy nonsmokers (55.3% females) aged 2.5-95 yrs. Lung function data were collated and prediction equations derived using the LMS method, which allows simultaneous modelling of the mean (mu), the coefficient of variation (sigma) and skewness (lambda) of a distribution family. After discarding 23,572 records, mostly because they could not be combined with other ethnic or geographic groups, reference equations were derived for healthy individuals aged 3-95 yrs for Caucasians (n=57,395), African-Americans (n=3,545), and North (n=4,992) and South East Asians (n=8,255). Forced expiratory value in 1 s (FEV(1)) and forced vital capacity (FVC) between ethnic groups differed proportionally from that in Caucasians, such that FEV(1)/FVC remained virtually independent of ethnic group. For individuals not represented by these four groups, or of mixed ethnic origins, a composite equation taken as the average of the above equations is provided to facilitate interpretation until a more appropriate solution is developed. Spirometric prediction equations for the 3-95-age range are now available that include appropriate age-dependent lower limits of normal. They can be applied globally to different ethnic groups. Additional data from the Indian subcontinent and Arabic, Polynesian and Latin American countries, as well as Africa will further improve these equations in the future.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Dose-response analyses using restricted cubic spline functions in public health research.

              Taking into account a continuous exposure in regression models by using categorization, when non-linear dose-response associations are expected, have been widely criticized. As one alternative, restricted cubic spline (RCS) functions are powerful tools (i) to characterize a dose-response association between a continuous exposure and an outcome, (ii) to visually and/or statistically check the assumption of linearity of the association, and (iii) to minimize residual confounding when adjusting for a continuous exposure. Because their implementation with SAS® software is limited, we developed and present here an SAS macro that (i) creates an RCS function of continuous exposures, (ii) displays graphs showing the dose-response association with 95 per cent confidence interval between one main continuous exposure and an outcome when performing linear, logistic, or Cox models, as well as linear and logistic-generalized estimating equations, and (iii) provides statistical tests for overall and non-linear associations. We illustrate the SAS macro using the third National Health and Nutrition Examination Survey data to investigate adjusted dose-response associations (with different models) between calcium intake and bone mineral density (linear regression), folate intake and hyperhomocysteinemia (logistic regression), and serum high-density lipoprotein cholesterol and cardiovascular mortality (Cox model). 2010 John Wiley & Sons, Ltd.
                Bookmark

                Author and article information

                Journal
                ERJ Open Res
                ERJ Open Res
                ERJOR
                erjor
                ERJ Open Research
                European Respiratory Society
                2312-0541
                October 2020
                02 November 2020
                : 6
                : 4
                : 00214-2020
                Affiliations
                [1 ]Dept of Medical Sciences, Occupational and Environmental Medicine, Uppsala University, Uppsala, Sweden
                [2 ]Dept of Medical Sciences, Respiratory, Allergy and Sleep Research, Uppsala University, Uppsala, Sweden
                [3 ]Dept of Medical Sciences, Clinical Physiology, Uppsala University, Uppsala, Sweden
                [4 ]Dept of Health Sciences, Division of Geriatric Medicine, Lund University, Lund, Sweden
                [5 ]Clinical Research Centre (CRC), Skåne University Hospital, Malmö, Sweden
                [6 ]Dept of Medical Sciences, Cardiovascular Epidemiology, Uppsala University, Uppsala, Sweden
                [7 ]Uppsala Clinical Research Center (UCR), Uppsala University, Uppsala, Sweden
                Author notes
                Magnus Svartengren, Dept of Medical Sciences, Occupational and Environmental Medicine, Uppsala University, Uppsala, Sweden, Akademiska sjukhuset, FE77, Box 6363, 75 135 Uppsala, Sweden. E-mail: magnus.svartengren@ 123456medsci.uu .se
                Author information
                https://orcid.org/0000-0002-8165-7236
                https://orcid.org/0000-0002-4098-7765
                https://orcid.org/0000-0003-2819-2799
                https://orcid.org/0000-0001-5093-6980
                Article
                00214-2020
                10.1183/23120541.00214-2020
                7682662
                33263030
                41fc39c2-6ae0-4063-91af-676d61116a45
                Copyright ©ERS 2020

                This article is open access and distributed under the terms of the Creative Commons Attribution Non-Commercial Licence 4.0.

                History
                : 24 April 2020
                : 03 June 2020
                Funding
                Funded by: Vetenskapsrådet, open-funder-registry 10.13039/501100004359;
                Categories
                Original Articles
                Lung Function
                10

                Comments

                Comment on this article