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Hesketh KD, Zheng M, Campbell KJ. Early life factors that affect obesity and the need for complex solutions. Nat Rev Endocrinol 2024:10.1038/s41574-024-01035-2. [PMID: 39313572 DOI: 10.1038/s41574-024-01035-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 08/27/2024] [Indexed: 09/25/2024]
Abstract
The prevalence of obesity increases with age but is apparent even in early life. Early childhood is a critical period for development that is known to influence future health. Even so, the focus on obesity in this phase, and the factors that affect the development of obesity, has only emerged over the past two decades. Furthermore, there is a paucity of iterative work in this area that would move the field forward. Obesity is a complex condition involving the interplay of multiple influences at different levels: the individual and biological level, the sociocultural level, and the environmental and system levels. This Review provides a brief overview of the evidence for these factors with a focus on aspects specific to early life. By spotlighting the complex web of interactions between the broad range of influences, both causal and risk markers, we highlight the complex nature of the condition. Much work in the early life field remains observational and many of the intervention studies are limited by a focus on single influences and a disjointed approach to solutions. Yet the complexity of obesity necessitates coordinated multi-focused solutions and joined-up action across the first 2,000 days from conception, and beyond.
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Affiliation(s)
- Kylie D Hesketh
- Institute for Physical Activity and Nutrition, Faculty of Health, Deakin University, Geelong, Victoria, Australia.
| | - Miaobing Zheng
- Institute for Physical Activity and Nutrition, Faculty of Health, Deakin University, Geelong, Victoria, Australia
| | - Karen J Campbell
- Institute for Physical Activity and Nutrition, Faculty of Health, Deakin University, Geelong, Victoria, Australia
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Bucciarelli V, Moscucci F, Dei Cas A, Coppi F, Angeli F, Pizzi C, Renda G, Nodari S, Maffei S, Montisci R, Pedrinelli R, Sciomer S, Perrone Filardi P, Mattioli AV, Gallina S. Maternal-fetal dyad beyond the phenomenology of pregnancy: from primordial cardiovascular prevention on out, do not miss this boat! Curr Probl Cardiol 2024; 49:102695. [PMID: 38852910 DOI: 10.1016/j.cpcardiol.2024.102695] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2024] [Accepted: 06/06/2024] [Indexed: 06/11/2024]
Abstract
Pregnancy represents a stress test for every woman's cardiovascular (CV) system, and a pre-existing maternal unfavorable cardio-metabolic phenotype can uncover both adverse pregnancy outcomes and the subsequent development of cardiovascular disease (CVD) risk factors during and after pregnancy. Moreover, the maternal cardiac and extracardiac environment can affect offspring's cardiovascular health through a complex mechanism called developmental programming, in which fetal growth can be influenced by maternal conditions. This interaction continues later in life, as adverse developmental programming, along with lifestyle risk factors and genetic predisposition, can exacerbate and accelerate the development of CV risk factors and CVD in childhood and adolescence. The aim of this narrative review is to summarize the latest evidences regarding maternal-fetal dyad and its role on primordial, primary and secondary CV prevention.
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Affiliation(s)
- Valentina Bucciarelli
- Cardiovascular Sciences Department, Azienda Ospedaliero-Universitaria delle Marche, Ancona, Italy
| | - Federica Moscucci
- Department of Internal Medicine and Medical Specialties, Policlinico Umberto I, Viale del Policlinico n. 155, Rome 00161, Italy
| | - Alessandra Dei Cas
- Department of Medicine and Surgery, Università di Parma, Parma, Italy; Division of Endocrinology and Metabolic Diseases, Azienda Ospedaliero-Universitaria di Parma, Parma, Italy
| | - Francesca Coppi
- Department of Medical and Surgical Sciences for Children and Adults, University of Modena and Reggio Emilia, Modena 41121, Italy
| | - Francesco Angeli
- Cardiology Unit, Cardiac Thoracic and Vascular Department, IRCCS Azienda, Ospedaliero-Universitaria di Bologna, Bologna, Italy; Department of Medical and Surgical Sciences- DIMEC, University of Bologna, Via Giuseppe Massarenti 9, Bologna 40138, Italy
| | - Carmine Pizzi
- Cardiology Unit, Cardiac Thoracic and Vascular Department, IRCCS Azienda, Ospedaliero-Universitaria di Bologna, Bologna, Italy; Department of Medical and Surgical Sciences- DIMEC, University of Bologna, Via Giuseppe Massarenti 9, Bologna 40138, Italy
| | - Giulia Renda
- Department of Neuroscience, Imaging and Clinical Sciences, 'G. d'Annunzio' University of Chieti-Pescara, Chieti, Italy
| | - Savina Nodari
- Department of Medical and Surgical Specialties, Radiological Sciences and Public Health, University of Brescia, Brescia 25123, Italy
| | - Silvia Maffei
- Department of Cardiovascular Endocrinology and Metabolism, Gynaecological and Cardiovascular Endocrinology and Osteoporosis Unit, "Gabriele Monasterio" Foundation and Italian National Research Council (CNR) Pisa, Pisa 56124 Italy
| | - Roberta Montisci
- Clinical Cardiology, AOU Cagliari, Department of Medical Science and Public Health, University of Cagliari, Cagliari, Italy
| | | | - Susanna Sciomer
- Dipartimento di Scienze Cliniche, Internistiche, Anestesiologiche e Cardiovascolari, 'Sapienza', Rome University, Viale dell'Università, 37, Rome 00185, Italy
| | | | - Anna Vittoria Mattioli
- Department of Quality of Life Sciences, University of Bologna-Alma Mater Studiorum, Bologna 40126, Italy.
| | - Sabina Gallina
- Department of Neuroscience, Imaging and Clinical Sciences, 'G. d'Annunzio' University of Chieti-Pescara, Chieti, Italy
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Pittyanont S, Suriya N, Sirilert S, Tongsong T. Comparisons of the Rates of Large-for-Gestational-Age Newborns between Women with Diet-Controlled Gestational Diabetes Mellitus and Those with Non-Gestational Diabetes Mellitus. Clin Pract 2024; 14:536-545. [PMID: 38666799 PMCID: PMC11048916 DOI: 10.3390/clinpract14020041] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2024] [Revised: 02/24/2024] [Accepted: 03/21/2024] [Indexed: 04/28/2024] Open
Abstract
(1) Objectives: The primary objective is to compare the rate of large-for-gestational-age (LGA) between women with diet-controlled gestational diabetes mellitus (GDM) and those with non-GDM, and to assess whether or not diet-controlled GDM is an independent factor of LGA fetuses. The secondary objectives are to compare the rates of other common adverse pregnancy outcomes, such as preeclampsia, cesarean section rate, preterm birth, and low Apgar score, between pregnancies with diet-controlled GDM and non-GDM pregnancies. (2) Methods: A retrospective cohort study was conducted on singleton pregnancies, diagnosed with GDM and non-GDM between 24 and 28 weeks of gestation, based on a two-step screening test. The prospective database of the obstetric department was accessed to retrieve the records meeting the inclusion criteria, and full medical records were comprehensively reviewed. The patients were categorized into two groups, GDM (study group) and non-GDM (control group). The main outcome was the rate of LGA newborns, and the secondary outcomes included pregnancy-induced hypertension, preterm birth, cesarean rate, low Apgar scores, etc. (3) Results: Of 1364 recruited women, 1342 met the inclusion criteria, including 1177 cases in the non-GDM group and 165 (12.3%) in the GDM group. Maternal age and pre-pregnancy BMI were significantly higher in the GDM group. The rates of LGA newborns, PIH, and cesarean section were significantly higher in the GDM group (15.1% vs. 7.1%, p-value < 0.001; 7.8% vs. 2.6%, p-value = 0.004; and 54.5% vs. 41.5%, p-value = 0.002; respectively). On logistic regression analysis, GDM was not significantly associated with LGA (odds ratio 1.64, 95% CI: 0.97-2.77), while BMI and gender were still significantly associated with LGA. Likewise, GDM was not significantly associated with the rate of PIH (odds ratio: 1.7, 95% CI: 0.825-3.504), while BMI and maternal age were significantly associated with PIH, after controlling confounding factors. (4) Conclusions: The rates of LGA newborns, PIH, and cesarean section are significantly higher in women with diet-controlled GDM than those with non-GDM. Nevertheless, the rates of LGA newborns and PIH are not directly caused by GDM but mainly caused high pre-pregnancy BMI and advanced maternal age, which are more commonly encountered among women with GDM.
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Affiliation(s)
- Sirida Pittyanont
- Department of Obstetrics and Gynecology, Prapokklao Hospital, Chanthaburi 22000, Thailand; (S.P.); (N.S.)
| | - Narongwat Suriya
- Department of Obstetrics and Gynecology, Prapokklao Hospital, Chanthaburi 22000, Thailand; (S.P.); (N.S.)
| | - Sirinart Sirilert
- Department of Obstetrics and Gynecology, Faculty of Medicine, Chiang Mai University, Chiang Mai 50200, Thailand
| | - Theera Tongsong
- Department of Obstetrics and Gynecology, Faculty of Medicine, Chiang Mai University, Chiang Mai 50200, Thailand
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Francis EC, Powe CE, Lowe WL, White SL, Scholtens DM, Yang J, Zhu Y, Zhang C, Hivert MF, Kwak SH, Sweeting A. Refining the diagnosis of gestational diabetes mellitus: a systematic review and meta-analysis. COMMUNICATIONS MEDICINE 2023; 3:185. [PMID: 38110524 PMCID: PMC10728189 DOI: 10.1038/s43856-023-00393-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Accepted: 10/25/2023] [Indexed: 12/20/2023] Open
Abstract
BACKGROUND Perinatal outcomes vary for women with gestational diabetes mellitus (GDM). The precise factors beyond glycemic status that may refine GDM diagnosis remain unclear. We conducted a systematic review and meta-analysis of potential precision markers for GDM. METHODS Systematic literature searches were performed in PubMed and EMBASE from inception to March 2022 for studies comparing perinatal outcomes among women with GDM. We searched for precision markers in the following categories: maternal anthropometrics, clinical/sociocultural factors, non-glycemic biochemical markers, genetics/genomics or other -omics, and fetal biometry. We conducted post-hoc meta-analyses of a subset of studies with data on the association of maternal body mass index (BMI, kg/m2) with offspring macrosomia or large-for-gestational age (LGA). RESULTS A total of 5905 titles/abstracts were screened, 775 full-texts reviewed, and 137 studies synthesized. Maternal anthropometrics were the most frequent risk marker. Meta-analysis demonstrated that women with GDM and overweight/obesity vs. GDM with normal range BMI are at higher risk of offspring macrosomia (13 studies [n = 28,763]; odds ratio [OR] 2.65; 95% Confidence Interval [CI] 1.91, 3.68), and LGA (10 studies [n = 20,070]; OR 2.23; 95% CI 2.00, 2.49). Lipids and insulin resistance/secretion indices were the most studied non-glycemic biochemical markers, with increased triglycerides and insulin resistance generally associated with greater risk of offspring macrosomia or LGA. Studies evaluating other markers had inconsistent findings as to whether they could be used as precision markers. CONCLUSIONS Maternal overweight/obesity is associated with greater risk of offspring macrosomia or LGA in women with GDM. Pregnancy insulin resistance or hypertriglyceridemia may be useful in GDM risk stratification. Future studies examining non-glycemic biochemical, genetic, other -omic, or sociocultural precision markers among women with GDM are warranted.
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Affiliation(s)
- Ellen C Francis
- Department of Biostatistics and Epidemiology, Rutgers School of Public Health, Piscataway, NJ, USA.
| | - Camille E Powe
- Diabetes Unit, Massachusetts General Hospital, Boston, MA, USA
| | - William L Lowe
- Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Sara L White
- Department of Women and Children's Health, King's College London, London, UK
| | - Denise M Scholtens
- Department of Preventive Medicine, Division of Biostatistics, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Jiaxi Yang
- Global Center for Asian Women's Health (GloW), Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Department of Obstetrics and Gynecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Bia-Echo Asia Centre for Reproductive Longevity & Equality (ACRLE), Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Yeyi Zhu
- Kaiser Permanente Northern California Division of Research, Oakland, CA, USA
| | - Cuilin Zhang
- Global Center for Asian Women's Health (GloW), Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Department of Obstetrics and Gynecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Bia-Echo Asia Centre for Reproductive Longevity & Equality (ACRLE), Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Marie-France Hivert
- Diabetes Unit, Massachusetts General Hospital, Boston, MA, USA
- Department of Population Medicine, Harvard Medical School, Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - Soo Heon Kwak
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul National University Hospital, Seoul, Republic of Korea
| | - Arianne Sweeting
- Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia
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Zhang D, Nagpal TS, Silva-José C, Sánchez-Polán M, Gil-Ares J, Barakat R. Influence of Physical Activity during Pregnancy on Birth Weight: Systematic Review and Meta-Analysis of Randomized Controlled Trials. J Clin Med 2023; 12:5421. [PMID: 37629463 PMCID: PMC10455907 DOI: 10.3390/jcm12165421] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2023] [Revised: 08/17/2023] [Accepted: 08/17/2023] [Indexed: 08/27/2023] Open
Abstract
Birth weight is a marker that is often referred to determine newborn health, potential growth trajectories and risk of future disease. Accordingly, interventions to promote appropriate and healthy birth weight have been extensively studied and implemented in pregnancy. In particular, physical activity in pregnancy is recommended to promote appropriate fetal development and newborn birth weight. This systematic review and meta-analyses aimed to summarize the effect of physical activity during pregnancy specifically from randomized controlled trials on the following outcomes: birth weight, macrosomia, low birth weight, being large for the gestational age, and being small for the gestational age (Registration No.: CRD42022370729). 63 studies (16,524 pregnant women) were included. There was a significant negative relationship between physical activity during pregnancy and macrosomia (z = 2.16; p = 0.03; RR = 0.79, 95% CI = 0.63, 0.98, I2 = 29%, Pheterogeneity = 0.09). No other significant relationships were found. Promoting physical activity during pregnancy may be an opportune time to reduce the risk of future chronic disease, such as obesity, through the prevention of macrosomia and the promotion of appropriate birth weights.
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Affiliation(s)
- Dingfeng Zhang
- AFIPE Research Group, Faculty of Physical Activity and Sport Sciences-INEF, Universidad Politécnica de Madrid, 28040 Madrid, Spain; (D.Z.); (C.S.-J.); (M.S.-P.); (R.B.)
| | - Taniya S. Nagpal
- Faculty of Kinesiology Sport and Recreation, University of Alberta, Edmonton, AB T6G 2R3, Canada;
| | - Cristina Silva-José
- AFIPE Research Group, Faculty of Physical Activity and Sport Sciences-INEF, Universidad Politécnica de Madrid, 28040 Madrid, Spain; (D.Z.); (C.S.-J.); (M.S.-P.); (R.B.)
| | - Miguel Sánchez-Polán
- AFIPE Research Group, Faculty of Physical Activity and Sport Sciences-INEF, Universidad Politécnica de Madrid, 28040 Madrid, Spain; (D.Z.); (C.S.-J.); (M.S.-P.); (R.B.)
| | - Javier Gil-Ares
- AFIPE Research Group, Faculty of Physical Activity and Sport Sciences-INEF, Universidad Politécnica de Madrid, 28040 Madrid, Spain; (D.Z.); (C.S.-J.); (M.S.-P.); (R.B.)
| | - Rubén Barakat
- AFIPE Research Group, Faculty of Physical Activity and Sport Sciences-INEF, Universidad Politécnica de Madrid, 28040 Madrid, Spain; (D.Z.); (C.S.-J.); (M.S.-P.); (R.B.)
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