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      Maternal investment, life-history trajectory of the off-spring and cardiovascular disease risk in Emirati females in the United Arab Emirates

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          Abstract

          Background

          Variations in cardiovascular disease risk (CVD) are suggested to be partly influenced by factors that affect prenatal growth patterns and outcomes, namely degree of maternal investment (proxied by birth weight and gestational age). Using the life history trajectory model, this study investigates whether maternal investment in early prenatal life associates with menarcheal age and whether maternal investment affects CVD risk in adulthood and predicts adult size and adiposity levels.

          Methods

          A cross-sectional study was conducted among 94 healthy Emirati females. Birth weight, gestational age and menarcheal age were obtained. Anthropometrical measurements, body composition analysis, and blood pressure values were collected. Regression analyses were conducted to establish associations.

          Results

          There was no association between birth weight standard deviation score (SDS) and age at menarche. When investigating the associations of birth weight SDS and age at menarche with growth indices, it was found that only birth weight was positively and significantly associated with both height ( β = 1.342 cm, 95% CI (0.12, 2.57), p = 0.032) and leg length ( β = 0.968 cm, 95% CI (0.08, 1.86), p = 0.034). Menarcheal age was significantly and inversely associated with fat mass index (FMI) ( β = − 0.080 cm, 95% CI (− 0.13, − 0.03), p = 0.002), but not with waist circumference and fat free mass index (FFMI) ( p > 0.05). Birth weight SDS was positively and significantly associated with waist circumference ( β = 0.035 cm, 95% CI (0.01, 0.06), p = 0.009), FMI ( β = 0.087 cm, 95% CI (0.01, 0.16), p = 0.027), and FFMI ( β = 0.485 cm, 95% CI (0.17, 0.80), p = 0.003). Birth weight SDS was not significantly associated with either systolic blood pressure (SBP) or diastolic blood pressure (DBP) ( p > 0.05). However, FMI, waist circumference, and FFMI were positively and significantly associated with SBP. Regarding DBP, the relationship was negatively and significantly associated with only FFMI ( β = − 1.6111 kg/m2, 95% CI (− 2.63, − 0.60), p = 0.002).

          Conclusion

          Although the results do not fully support that Emirati females fast-life history is associated with increased chronic disease risk, the data does suggest a link between restricted fetal growth in response to low maternal investment and metabolic and reproductive health.

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s12889-021-11182-0.

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          Most cited references68

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          A Randomized Trial of Intensive versus Standard Blood-Pressure Control

          New England Journal of Medicine, 373(22), 2103-2116
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            In utero programming of chronic disease.

            1. Many human fetuses have to adapt to a limited supply of nutrients. In doing so they permanently change their structure and metabolism. 2. These 'programmed' changes may be the origins of a number of diseases in later life, including coronary heart disease and the related disorders stroke, diabetes and hypertension. 3. This review examines the evidence linking these diseases to fetal undernutrition and provides an overview of previous studies in this area.
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                Author and article information

                Contributors
                rola.mechli@zu.ac.ae
                linda.smail@zu.ac.ae
                maryam.muqbel@gmail.com
                Dalia.haroun@zu.ac.ae
                Journal
                BMC Public Health
                BMC Public Health
                BMC Public Health
                BioMed Central (London )
                1471-2458
                27 June 2021
                27 June 2021
                2021
                : 21
                : 1237
                Affiliations
                [1 ]GRID grid.444464.2, ISNI 0000 0001 0650 0848, Department of Health Sciences, , Zayed University, College of Natural and Health Sciences, ; Dubai, United Arab Emirates
                [2 ]GRID grid.444464.2, ISNI 0000 0001 0650 0848, Department of Mathematics and Statistics, Zayed University, , College of Natural and Health Sciences, ; Dubai, United Arab Emirates
                [3 ]GRID grid.7445.2, ISNI 0000 0001 2113 8111, Department of Medicine, , Imperial College, ; London, UK
                Author information
                http://orcid.org/0000-0001-6832-144X
                Article
                11182
                10.1186/s12889-021-11182-0
                8237435
                34176485
                1743058c-2064-428b-b690-8947b17cfc36
                © The Author(s) 2021

                Open AccessThis 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/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 15 October 2020
                : 2 June 2021
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2021

                Public health
                adiposity, low birth weight,maternal investment,life-history trajectory,cardiovascular disease

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