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      Temporal patterns of weekly births and conceptions predicted by meteorology, seasonal variation, and lunar phases

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          Abstract

          Background

          Data reporting the number of births given by women resident in Vienna for each week between 1999 and 2019, and the duration (in weeks) of their pregnancies, were used to estimate the week of conception. When preliminary examinations detected cyclical patterns for births and conceptions, a series of Poisson regressions for births and conceptions were performed to assess whether these cycles could be associated with lunar or solar phases.

          Methods

          To that end 2 sine-cosine functions, 1 with a wavelength of 1 year (365.25 days) and 1 with a wavelength of 29.529 days, the latter resembling the average length of a lunar cycle, were constructed. In addition, also average weekly temperatures were included in the models.

          Results

          Same week temperature was a strong non-linear predictor for both births and conceptions. Extreme temperatures, especially hot temperatures, increased the number of births while the numbers of successful conceptions were decreased by extreme temperatures. Regarding annual variation in conceptions, the lowest values were found in May and the highest in late autumn and early winter. Therefore, the highest numbers of births are observed in the summer. As per lunar variations, the highest numbers of conceptions occurred at the full moon and the highest numbers of births at the waxing crescent to first quarter moon.

          Discussion

          The latter results should be treated with caution, as they are not hypothesis driven. Furthermore, literature reports on this topic are conflicting. Nevertheless, these findings will be useful in further analyses examining air pollution effects.

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          Most cited references48

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          Estimating the Dimension of a Model

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            The Environment and Disease: Association or Causation?

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              Methodological issues in studies of air pollution and daily counts of deaths or hospital admissions.

              To review the issues and methodologies in epidemiologic time series studies of daily counts of mortality and hospital admissions and illustrate some of the methodologies. This is a review paper with an example drawn from hospital admissions of the elderly in Cleveland, Ohio, USA. The central issue is control for seasonality. Both over and under control are possible, and the use of diagnostics, including plots, is necessary. Weather dependence is probably non-linear, and adequate methods are necessary to adjust for this. In Cleveland, the use of categorical variables for weather and sinusoidal terms for filtering season are illustrated. After control for season, weather, and day of the week effects, hospital admission of persons aged 65 and older in Cleveland for respiratory illness was associated with ozone (RR = 1.09, 95% CI 1.02, 1.16) and particulates (PM10 (RR = 1.12, 95% CI 1.01, 1.24), and marginally associated with sulphur dioxide (SO2) (RR = 1.03, 95% CI = 0.99, 1.06). All of the relative risks are for a 100 micrograms/m3 increase in the pollutant. Several adequate methods exist to control for weather and seasonality while examining the associations between air pollution and daily counts of mortality and morbidity. In each case, care and judgement are required.
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                Author and article information

                Contributors
                sandra.gudziunaite.18@ucl.ac.uk
                hanns.moshammer@meduniwien.ac.at
                Journal
                Wien Klin Wochenschr
                Wien Klin Wochenschr
                Wiener Klinische Wochenschrift
                Springer Vienna (Vienna )
                0043-5325
                1613-7671
                24 May 2022
                24 May 2022
                2022
                : 134
                : 13-14
                : 538-545
                Affiliations
                [1 ]GRID grid.22937.3d, ISNI 0000 0000 9259 8492, Department of Environmental Health, ZPH, , Medical University of Vienna, ; Kinderspitalgasse 15, 1090 Vienna, Austria
                [2 ]GRID grid.83440.3b, ISNI 0000000121901201, Department of Liberal Arts and Sciences, BASc, , University College London, ; London, UK
                [3 ]Department of Hygiene, Medical University of Karakalpakstan, Nukus, Uzbekistan
                Author information
                http://orcid.org/0000-0003-2235-0645
                Article
                2038
                10.1007/s00508-022-02038-7
                9300502
                35608674
                31897aa0-b67a-4f71-b519-02382d3edafc
                © The Author(s) 2022

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 13 September 2021
                : 21 April 2022
                Funding
                Funded by: Medical University of Vienna
                Categories
                Original Article
                Custom metadata
                © Springer-Verlag GmbH Austria, part of Springer Nature 2022

                Medicine
                birth and conception rates,time series study,temperature,annual and lunar cycles,vienna
                Medicine
                birth and conception rates, time series study, temperature, annual and lunar cycles, vienna

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