6
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Impact of Residential Green Space on Sleep Quality and Sufficiency in Children and Adolescents Residing in Australia and Germany

      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

          Increasing evidence suggests adults living in greener areas tend to have more favourable sleep-related outcomes, but children and adolescents are under-researched. We hypothesised that children and adolescents living in greener areas would have better quality and more sufficient levels of sleep on average, especially within the context of high traffic noise exposure. These hypotheses were tested using multilevel logistic regressions fitted on samples from the nationally representative Longitudinal Study of Australian Children (10–11 years old, n = 3469, and 14–15 years old, n = 2814) and the GINIplus and LISA cohorts (10 years old, n = 1461, and 15 years old, n = 4172) from the Munich, Wesel, and Leipzig areas of Germany. Questionnaire-based binary indicators of sleep sufficiency and sleep quality in each cohort were assessed with respect to objectively measured green space exposures adjusting for age, sex, and maternal education. Models were augmented with proxy measures of traffic noise and two-way interaction terms to test for effect modification. Cross-tabulations illustrated little convincing evidence of association between green space and insufficient sleep or poor sleep quality in either sample, except for insufficient sleep among 10 year old participants in Germany. These null findings were replicated in adjusted models. The proxy for traffic noise was associated with poor quality sleep in 15 year old participants in Germany, but no convincing evidence of modified association with green space was observed.

          Related collections

          Most cited references46

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

          Sleep duration predicts cardiovascular outcomes: a systematic review and meta-analysis of prospective studies.

          Aims To assess the relationship between duration of sleep and morbidity and mortality from coronary heart disease (CHD), stroke, and total cardiovascular disease (CVD). Methods and results We performed a systematic search of publications using MEDLINE (1966-2009), EMBASE (from 1980), the Cochrane Library, and manual searches without language restrictions. Studies were included if they were prospective, follow-up >3 years, had duration of sleep at baseline, and incident cases of CHD, stroke, or CVD. Relative risks (RR) and 95% confidence interval (CI) were pooled using a random-effect model. Overall, 15 studies (24 cohort samples) included 474 684 male and female participants (follow-up 6.9-25 years), and 16 067 events (4169 for CHD, 3478 for stroke, and 8420 for total CVD). Sleep duration was assessed by questionnaire and incident cases through certification and event registers. Short duration of sleep was associated with a greater risk of developing or dying of CHD (RR 1.48, 95% CI 1.22-1.80, P < 0.0001), stroke (1.15, 1.00-1.31, P = 0.047), but not total CVD (1.03, 0.93-1.15, P = 0.52) with no evidence of publication bias (P = 0.95, P = 0.30, and P = 0.46, respectively). Long duration of sleep was also associated with a greater risk of CHD (1.38, 1.15-1.66, P = 0.0005), stroke (1.65, 1.45-1.87, P < 0.0001), and total CVD (1.41, 1.19-1.68, P < 0.0001) with no evidence of publication bias (P = 0.92, P = 0.96, and P = 0.79, respectively). Conclusion Both short and long duration of sleep are predictors, or markers, of cardiovascular outcomes.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: found
            Is Open Access

            Quantity and Quality of Sleep and Incidence of Type 2 Diabetes

            OBJECTIVE To assess the relationship between habitual sleep disturbances and the incidence of type 2 diabetes and to obtain an estimate of the risk. RESEARCH DESIGN AND METHODS We conducted a systematic search of publications using MEDLINE (1955–April 2009), EMBASE, and the Cochrane Library and manual searches without language restrictions. We included studies if they were prospective with follow-up >3 years and had an assessment of sleep disturbances at baseline and incidence of type 2 diabetes. We recorded several characteristics for each study. We extracted quantity and quality of sleep, how they were assessed, and incident cases defined with different validated methods. We extracted relative risks (RRs) and 95% CI and pooled them using random-effects models. We performed sensitivity analysis and assessed heterogeneity and publication bias. RESULTS We included 10 studies (13 independent cohort samples; 107,756 male and female participants, follow-up range 4.2–32 years, and 3,586 incident cases of type 2 diabetes). In pooled analyses, quantity and quality of sleep predicted the risk of development of type 2 diabetes. For short duration of sleep (≤5–6 h/night), the RR was 1.28 (95% CI 1.03–1.60, P = 0.024, heterogeneity P = 0.015); for long duration of sleep (>8–9 h/night), the RR was 1.48 (1.13–1.96, P = 0.005); for difficulty in initiating sleep, the RR was 1.57 (1.25–1.97, P < 0.0001); and for difficulty in maintaining sleep, the RR was 1.84 (1.39–2.43, P < 0.0001). CONCLUSIONS Quantity and quality of sleep consistently and significantly predict the risk of the development of type 2 diabetes. The mechanisms underlying this relation may differ between short and long sleepers.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              The influence of sleep quality, sleep duration and sleepiness on school performance in children and adolescents: A meta-analytic review.

              Insufficient sleep, poor sleep quality and sleepiness are common problems in children and adolescents being related to learning, memory and school performance. The associations between sleep quality (k=16 studies, N=13,631), sleep duration (k=17 studies, N=15,199), sleepiness (k=17, N=19,530) and school performance were examined in three separate meta-analyses including influential factors (e.g., gender, age, parameter assessment) as moderators. All three sleep variables were significantly but modestly related to school performance. Sleepiness showed the strongest relation to school performance (r=-0.133), followed by sleep quality (r=0.096) and sleep duration (r=0.069). Effect sizes were larger for studies including younger participants which can be explained by dramatic prefrontal cortex changes during (early) adolescence. Concerning the relationship between sleep duration and school performance age effects were even larger in studies that included more boys than in studies that included more girls, demonstrating the importance of differential pubertal development of boys and girls. Longitudinal and experimental studies are recommended in order to gain more insight into the different relationships and to develop programs that can improve school performance by changing individuals' sleep patterns. Copyright 2009 Elsevier Ltd. All rights reserved.
                Bookmark

                Author and article information

                Journal
                Int J Environ Res Public Health
                Int J Environ Res Public Health
                ijerph
                International Journal of Environmental Research and Public Health
                MDPI
                1661-7827
                1660-4601
                07 July 2020
                July 2020
                : 17
                : 13
                : 4894
                Affiliations
                [1 ]School of Public Health and Community Medicine, Faculty of Medicine, UNSW, Sydney NSW 2052, Australia
                [2 ]Population Wellbeing and Environment Research Lab (PowerLab), School of Public Health, Faculty of Social Sciences, University of Wollongong, Wollongong NSW 2522, Australia; thomasab@ 123456uow.edu.au
                [3 ]National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China
                [4 ]Menzies Centre for Health Policy, University of Sydney, Sydney 2006, Australia
                [5 ]Institute of Epidemiology, Helmholtz Zentrum München-German Research Center for Environmental Health, Ingolstädter Landstraße 1, 85764 Neuherberg, Germany; claudia.flexeder@ 123456helmholtz-muenchen.de (C.F.); iana.markevych@ 123456uj.edu.pl (I.M.); Marie.standl@ 123456helmholtz-muenchen.de (M.S.)
                [6 ]Institute and Clinic for Occupational, Social and Environmental Medicine, University Hospital, LMU Munich, Ziemssenstraße 1, 80336 Munich, Germany; Joachim.Heinrich@ 123456med.uni-muenchen.de
                [7 ]Institute of Psychology, Jagiellonian University, 30-060 Krakow, Poland
                [8 ]Allergy and Lung Health Unit, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne 3053, Australia
                [9 ]IUF, Leibniz Research Institute for Environmental Medicine, 40225 Düsseldorf, Germany; Tamara.Schikowski@ 123456IUF-Duesseldorf.de
                [10 ]Department of Pediatrics, Dr. von Hauner Children’s Hospital, LMU Klinikum, University of Munich, 80337 Munich, Germany; Sibylle.Koletzko@ 123456med.uni-muenchen.de
                [11 ]Department of Pediatrics, Gastroenterology and Nutrition, School of Medicine Collegium Medicum University of Warmia and Mazury, 10-719 Olsztyn, Poland
                [12 ]Department of Environmental Immunology/Core Facility Studies, Helmholtz Centre for Environmental Research-UFZ, 04318 Leipzig, Germany; gunda.herberth@ 123456ufz.de
                [13 ]Department of Pediatrics, Technical University of Munich, 80804 Munich, Germany; cpbauer@ 123456t-online.de
                [14 ]Research Institute, Department of Pediatrics, Marien-Hospital Wesel, 46483 Wesel, Germany; avb.rodehorst@ 123456gmx.de (A.v.B.); berdel.vonberg@ 123456t-online.de (D.B.)
                [15 ]School of Public Health, Peking Union Medical College and The Chinese Academy of Medical Sciences, Beijing 100730, China
                Author notes
                Author information
                https://orcid.org/0000-0003-0212-3509
                Article
                ijerph-17-04894
                10.3390/ijerph17134894
                7369701
                32645895
                12b019e9-40dc-43de-b5c6-69bd50f3622a
                © 2020 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 19 April 2020
                : 25 June 2020
                Categories
                Article

                Public health
                green space,children,epidemiology,noise,sleep
                Public health
                green space, children, epidemiology, noise, sleep

                Comments

                Comment on this article