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      Chronotype of pregnant women with diabetes mellitus: what is the relationship with maternal and fetal outcomes?

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          Circadian rhythm and gestational diabetes: working conditions, sleeping habits and lifestyle influence insulin dependency during pregnancy

          Objective Management of gestational diabetes (GDM) is currently changing toward a more personalized approach. There  is a growing number of GDM patients requiring only a single dose of basal insulin at night to achieve glucose control. Well-known risk factors like obesity, parity and family history have been associated with GDM treatment requirements. Sleep quality and lifestyle factors interfering with the circadian rhythm are known to affect glucose metabolism. The aim of this study was to investigate the impact of such lifestyle factors on insulin requirement in GDM patients, in particular on long-acting insulin to control fasting glucose levels. Research design and methods A total of 805 patients treated for GDM between 2012 and 2016 received a study questionnaire on lifestyle conditions. Sleep quality and work condition categories were used for subgroup analysis. Independent effects on treatment approaches were evaluated using multivariate regression. Results In total, 235 (29.2%) questionnaires returned. Women reporting poor sleep conditions had higher pre-pregnancy weight and BMI, heavier newborns, more large for gestational age newborns and higher rates of hyperbilirubinemia. Treatment requirements were related to sleep and work condition categories. Multivariate regression for ‘Basal’ insulin-only treatment revealed an adjOR 3.4 (CI 1.23–9.40, p   <  0.05) for unfavorable work conditions and adjOR 4.3 (CI 1.28–14.50, p   <  0.05) for living with children. Conclusions Our findings suggest that external stressors like unfavorable work conditions and living with children are independently associated with the necessity of long-acting insulin at night in GDM patients. Thus, fasting glucose levels of pregnant women presenting with such lifestyle conditions may be subject to close monitoring. Supplementary Information The online version contains supplementary material available at 10.1007/s00592-021-01708-8.
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            Poisson Regression Models for Cohort Studies

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              Poisson Regression Models for Cohort Studies

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                Author and article information

                Journal
                Arch Endocrinol Metab
                Arch Endocrinol Metab
                aem
                Archives of Endocrinology and Metabolism
                Sociedade Brasileira de Endocrinologia e Metabologia
                2359-3997
                2359-4292
                02 February 2024
                2024
                : 68
                : e230071
                Affiliations
                [1 ] orgnameUniversidade Federal do Vale do São Francisco Petrolina PE Brasil originalUniversidade Federal do Vale do São Francisco, Petrolina, PE, Brasil
                Author notes
                Correspondence to: Johnnatas Lopes johnnataslopes2@ 123456gmail.com

                Disclosure: no potential conflict of interest relevant to this article was reported.

                Author information
                https://orcid.org/0000-0002-9679-5287
                https://orcid.org/0000-0003-3486-8548
                https://orcid.org/0009-0001-2368-5765
                https://orcid.org/0009-0007-8021-7822
                https://orcid.org/0000-0002-8153-1051
                Article
                01900
                10.20945/2359-4292-2023-0071
                10948034
                38330290
                f766bd6b-0e96-479e-9cf1-f1836c4b24b2

                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 work is properly cited.

                History
                : 20 February 2023
                : 15 March 2023
                Page count
                Figures: 0, Tables: 0, Equations: 0, References: 3
                Categories
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