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      Socioeconomic and Sociodemographic Factors Associated with Asthma Related Outcomes in Early Childhood: The Generation R Study

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          Abstract

          Rationale

          Few studies have analyzed the association of socioeconomic and sociodemographic factors with asthma related outcomes in early childhood, including Fraction of exhaled Nitric Oxide (FeNO) and airway resistance (Rint). We examined the association of socioeconomic and sociodemographic factors with wheezing, asthma, FeNO and Rint at age 6 years. Additionally, the role of potential mediating factors was studied.

          Methods

          The study included 6717 children participating in The Generation R Study, a prospective population-based cohort study. Data on socioeconomic and sociodemographic factors, wheezing and asthma were obtained by questionnaires. FeNO and Rint were measured at the research center. Statistical analyses were performed using logistic and linear regression models.

          Results

          At age 6 years, 9% (456/5084) of the children had wheezing symptoms and 7% (328/4953) had asthma. Children from parents with financial difficulties had an increased risk of wheezing (adjusted Odds Ratio (aOR) = 1.63, 95% Confidence Interval (CI):1.18–2.24). Parental low education, paternal unemployment and child's male sex were associated with asthma, independent of other socioeconomic or sociodemographic factors (aOR = 1.63, 95% CI:1.24–2.15, aOR = 1.85, 95% CI:1.11–3.09, aOR = 1.58, 95% CI:1.24–2.01, respectively). No socioeconomic or gender differences in FeNO were found. The risks of wheezing, asthma, FeNO and Rint measurements differed between ethnic groups (p<0.05). Associations between paternal unemployment, child's sex, ethnicity and asthma related outcomes remained largely unexplained.

          Conclusions

          This study showed differences between the socioeconomic and sociodemographic correlates of wheezing and asthma compared to the correlates of FeNO and Rint at age 6 years. Several socioeconomic and sociodemographic factors were independently associated with wheezing and asthma. Child's ethnicity was the only factor independently associated with FeNO. We encourage further studies on underlying pathways and public health intervention programs, focusing on reducing socioeconomic or sociodemographic inequalities in asthma.

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          Most cited references32

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          Discovering susceptibility genes for asthma and allergy.

          Asthma and asthma-related traits are complex diseases with strong genetic and environmental components. Rapid progress in asthma genetics has led to the identification of several candidate genes that are associated with asthma-related traits. Typically the phenotypic impact of each of these genes, including the ones most often replicated in association studies, is mild, but larger effects may occur when multiple variants synergize within a permissive environmental context. Despite the achievements made in asthma genetics formidable challenges remain. The development of novel, powerful tools for gene discovery, and a closer integration of genetics and biology, should help to overcome these challenges.
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            It's all about sex: gender, lung development and lung disease.

            Accumulating evidence suggests that gender affects the incidence, susceptibility and severity of several lung diseases. Gender also influences lung development and physiology. Data from both human and animal studies indicate that sex hormones might contribute to disease pathogenesis or serve as protective factors, depending on the disease involved. In this review, the influence of gender and sex hormones on lung development and pathology will be discussed, with specific emphasis on pulmonary fibrosis, asthma and cancer.
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              Sympercents: symmetric percentage differences on the 100 log(e) scale simplify the presentation of log transformed data.

              The results of analyses on log transformed data are usually back-transformed and interpreted on the original scale. Yet if natural logs are used this is not necessary--the log scale can be interpreted as it stands. A difference of natural logs corresponds to a fractional difference on the original scale. The agreement is exact if the fractional difference is based on the logarithmic mean. The transform y = 100 log(e)x leads to differences, standard deviations and regression coefficients of y that are equivalent to symmetric percentage differences, standard deviations and regression coefficients of x. Several simple clinical examples show that the 100 log(e) scale is the natural scale on which to express percentage differences. The term sympercent or s% is proposed for them. Sympercents should improve the presentation of log transformed data and lead to a wider understanding of the natural log transformation. Copyright 2000 John Wiley & Sons, Ltd.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, USA )
                1932-6203
                2013
                11 November 2013
                : 8
                : 11
                : e78266
                Affiliations
                [1 ]The Generation R Study Group, Erasmus Medical Center, Rotterdam, The Netherlands
                [2 ]Department of Public Health, Erasmus Medical Center, Rotterdam, The Netherlands
                [3 ]Department of Paediatrics, Division of Respiratory Medicine, Erasmus Medical Center-Sophia Children's Hospital, Rotterdam, The Netherlands
                [4 ]Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
                [5 ]Department of Paediatrics, Division of Neonatology, Erasmus Medical Center-Sophia Children's Hospital, Rotterdam, The Netherlands
                [6 ]Department of Paediatrics, Erasmus Medical Center-Sophia Children's Hospital, Rotterdam, The Netherlands
                University of Liverpool, United Kingdom
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Analyzed the data: EH. Wrote the paper: EH AMMS JPM LD VWVJ HAM AH JCJ HR.

                Article
                PONE-D-13-24490
                10.1371/journal.pone.0078266
                3823924
                24244299
                791767a5-97de-4f06-b31f-81bedc5d5f40
                Copyright @ 2013

                This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 11 June 2013
                : 9 September 2013
                Page count
                Pages: 9
                Funding
                The general design of the Generation R Study is made possible by financial support from the Erasmus Medical Center, Rotterdam, the Erasmus University Rotterdam, the Netherlands Organization for Health Research and Development (ZonMw), the Netherlands Organisation for Scientific Research (NWO), the Ministry of Health, Welfare and Sport and the Ministry of Youth and Families. E Hafkamp-de Groen received funding by means of the Dutch Lung Foundation (project no. 3.4.12.015). L Duijts received funding by means of a European Respiratory Society/Marie Curie Joint Research Fellowship (MC 1226-2009) under grant agreement RESPIRE, PCOFUND-GA-2008-229571. VWV Jaddoe received additional grants from the Netherlands Organization for Health Research and Development (ZonMw - VIDI). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
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