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Yu ZM, Van Blyderveen S, Schmidt L, Lu CH, Vanstone M, Biringer A, Sword W, Beyene J, McDonald SD. Do Psychological and Behavioural Factors Change Over Pregnancy? JOURNAL OF OBSTETRICS AND GYNAECOLOGY CANADA 2023; 45:655-660. [PMID: 37271345 DOI: 10.1016/j.jogc.2023.05.031] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2022] [Revised: 05/24/2023] [Accepted: 05/26/2023] [Indexed: 06/06/2023]
Abstract
OBJECTIVES To investigate how psychological and behavioural factors change from the first to the last half of pregnancy. METHODS In this prospective cohort study, we assessed the changes in psychological and behavioural factors across 10 domains among 445 women (mean age = 30.9 years) in Ontario, Canada. We collected data using 2 standardized questionnaires administered at <21 and 32-36 weeks of gestation. We computed intraclass correlation coefficients, percentages of no change, decrease, and increase, and mean differences between the 2 surveys. RESULTS Most psychological and behavioural factors had intraclass correlation coefficients < 0.50 between the first and the second half of pregnancy, suggesting remarkable changes over the course of pregnancy. We observed significant decreases in self-efficacy, compensatory health beliefs, guilt regarding binge eating, emotional eating, dietary restriction, pregnancy-related nausea and food cravings, sleep duration, and physical activity. We also found increases in anxious and depressive symptoms and the tendency to accept friends' and family's beliefs regarding pregnancy. CONCLUSIONS In the first prospective analysis, we found that many psychological and behavioural factors changed significantly over pregnancy.
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Affiliation(s)
- Zhijie Michael Yu
- Department of Obstetrics and Gynecology, McMaster University, Hamilton, ON
| | - Sherry Van Blyderveen
- New Leaf Psychology Centre, Milton, ON; Eating Disorders Program at Homewood Health Centre, Guelph, ON
| | - Louis Schmidt
- Department of Psychology, Neuroscience and Behaviour, McMaster University, Hamilton, ON
| | - Cathy Huilin Lu
- Department of Obstetrics and Gynecology, McMaster University, Hamilton, ON
| | | | - Anne Biringer
- Ray D. Wolfe Department of Family Medicine, Mount Sinai Hospital, Toronto, ON
| | - Wendy Sword
- School of Nursing, McMaster University, Hamilton, ON
| | - Joseph Beyene
- Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, ON
| | - Sarah D McDonald
- Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, ON; Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, McMaster University, Hamilton, ON; Department of Radiology, McMaster University, Hamilton, ON.
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Hawkins MS, Pokutnaya DY, Bodnar LM, Levine MD, Buysse DJ, Davis EM, Wallace ML, Zee PC, Grobman WA, Reid KJ, Facco FL. The association between multidimensional sleep health and gestational weight gain. Paediatr Perinat Epidemiol 2023; 37:586-595. [PMID: 37641423 PMCID: PMC10543452 DOI: 10.1111/ppe.13004] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/05/2023] [Revised: 08/09/2023] [Accepted: 08/13/2023] [Indexed: 08/31/2023]
Abstract
BACKGROUND Although poor sleep health is associated with weight gain and obesity in the non-pregnant population, research on the impact of sleep health on weight change among pregnant people using a multidimensional sleep health framework is needed. OBJECTIVES This secondary data analysis of the Nulliparous Pregnancy Outcome Study: Monitoring Mothers-to-be Sleep Duration and Continuity Study (n = 745) examined associations between mid-pregnancy sleep health indicators, multidimensional sleep health and gestational weight gain (GWG). METHODS Sleep domains (i.e. regularity, nap duration, timing, efficiency and duration) were assessed via actigraphy between 16 and 21 weeks of gestation. We defined 'healthy' sleep in each domain with empirical thresholds. Multidimensional sleep health was based on sleep profiles derived from latent class analysis and composite score defined as the sum of healthy sleep domains. Total GWG, the difference between self-reported pre-pregnancy weight and the last measured weight before delivery, was converted to z-scores using gestational age- and BMI-specific charts. GWG was defined as low (<-1 SD), moderate (-1 or +1 SD) and high (>+1 SD). RESULTS Nearly 50% of the participants had a healthy sleep profile (i.e. healthy sleep in most domains), whereas others had a sleep profile defined as having varying degrees of unhealthy sleep in each domain. The individual sleep domains were associated with a 20%-30% lower risk of low or high GWG. Each additional healthy sleep indicator was associated with a 10% lower risk of low (vs. moderate), but not high, GWG. Participants with late timing, long duration and low efficiency (vs. healthy) profiles had the strongest risk of low GWG (relative risk 1.5, 95% confidence interval 0.9, 2.4). Probabilistic bias analysis suggested that most associations between individual sleep health indicators, sleep health profiles and GWG were biased towards the null. CONCLUSIONS Future research should determine whether sleep health is an intervention target for healthy GWG.
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Affiliation(s)
| | | | | | | | | | - Esa M. Davis
- University of Pittsburgh, Department of Medicine
| | | | | | | | | | - Francesca L. Facco
- University of Pittsburgh, Department of Obstetrics, Gynecology & Reproductive Sciences
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Chairat T, Ratinthorn A, Limruangrong P, Boriboonhirunsarn D. Prevalence and related factors of inappropriate gestational weight gain among pregnant women with overweight/ obesity in Thailand. BMC Pregnancy Childbirth 2023; 23:319. [PMID: 37147586 PMCID: PMC10163776 DOI: 10.1186/s12884-023-05635-0] [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: 05/20/2022] [Accepted: 04/22/2023] [Indexed: 05/07/2023] Open
Abstract
BACKGROUND An inappropriate gestational weight gain (GWG) among pregnant women with overweight/obesity is a crucial health problem. Its prevalence remains high worldwide, particularly in urban areas. The prevalence and predicting factors in Thailand are lack of evidence. This study aimed to investigate prevalence rates, antenatal care (ANC) service arrangement, predictive factors, and impacts of inappropriate GWG among pregnant women with overweight/obesity in Bangkok and its surrounding metropolitan area. METHODS This cross-sectional, retrospective study used four sets of questionnaires investigating 685 pregnant women with overweight/obesity and 51 nurse-midwives (NMs) from July to December 2019 in ten tertiary hospitals. Multinomial logistic regression identified predictive factors with a 95% confidence interval (CI). RESULT The prevalence rates of excessive and inadequate GWG were 62.34% and 12.99%. Weight management for pregnant women with overweight/obesity are unavailable in tertiary cares. Over three-fourths of NMs have never received weight management training for this particular group. ANC service factors, i.e., GWG counseling by ANC providers, quality of general ANC service at an excellent and good level, NMs' positive attitudes toward GWG control, significantly decreased the adjusted odds ratio (AOR) of inadequate GWG by 0.03, 0.01, 0.02, 0.20, times, respectively. While maternal factors, sufficient income, and easy access to low-fat foods reduce AOR of inadequate GWG by 0.49, and 0.31 times. In contrast, adequate maternal GWG knowledge statistically increased the AOR of inadequate GWG 1.81 times. Meanwhile, easy access to low-fat foods and internal weight locus of control (WLOC) decreased the AOR of excessive GWG by 0.29 and 0.57 times. Finally, excessive GWG significantly increased the risk of primary C/S, fetal LGA, and macrosomia 1.65, 1.60, and 5.84 times, respectively, while inadequate GWG was not associated with adverse outcomes. CONCLUSION Prevalence rates of inappropriate GWG, especially excessive GWG remained high and affected adverse outcomes. The quality of ANC service provision and appropriate GWG counseling from ANC providers are significant health service factors. Thus, NMs should receive gestational weight counseling and management training to improve women's knowledge and practice for gestational weight (GW) control.
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Affiliation(s)
| | | | | | - Dittakarn Boriboonhirunsarn
- Department of Obstetrics and Gynecology, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, 10400, Thailand
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Chang MW, Wegener DT, Tan A, Schaffir J, Worly B, Strafford K, Soma L, Sampsell C. Pilot Lifestyle Intervention Effect on Lifestyle Behaviors, Psychosocial Factors, and Affect. JOURNAL OF PEDIATRICS, PERINATOLOGY AND CHILD HEALTH 2023; 7:74-82. [PMID: 38576861 PMCID: PMC10994102 DOI: 10.26502/jppch.74050147] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/06/2024]
Abstract
Background This paper presents results of a pilot intervention effect on lifestyle behaviors, psychosocial factors, and affect among overweight or obese pregnant women. Methods 70 participants were randomized to the intervention or usual care group. During the 20-week intervention, participants completed a weekly online intervention module and joined individual online health coaching. Data were collected at baseline (<17 weeks gestation), 24-27 weeks gestation (T2), and 35-37 weeks gestation (T3). Lifestyle behaviors included dietary intake (caloric, fat, added sugar, fruit, and vegetable) and physical activity (PA). Psychosocial factors were autonomous motivation, self-efficacy, executive functions, and consideration of future consequences (CFC). Affect comprised stress and emotional control. Two-sample t-tests and Cohen's d effect sizes were used to compare between group mean differences in the change from baseline to T2 and T3. Results At T2, intervention positively influenced fruit intake (d = 0.47), autonomous motivation for healthy eating (d = 0.36), self-efficacy for healthy eating (d = 0.25) and PA (d = 0.24), executive functions (behavior regulation, d = -0.21; metacognition, d = -0.69), and emotional control (d = 0.79). At T3, the intervention improved PA (d = 0.19), autonomous motivation for healthy eating (d = 0.33), self-efficacy for healthy eating (d = 0.50) and stress management (d = 0.62), executive functions (metacognition, d = -0.46), CFC (d = 0.25), stress (d = -0.45), and emotional control (d = 0.72). Conclusion The pilot intervention has positive effects on most psychosocial variables and affect in both the short and long terms.
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Affiliation(s)
- Mei-Wei Chang
- The Ohio State University College of Nursing, 1577 Neil Avenue, Columbus, OH 43210, USA
| | - Duane T Wegener
- The Ohio State University, Dept. of Obstetrics and Gynecology, 395 West 12th Avenue, 5th floor Columbus, OH 43210, USA
| | - Alai Tan
- The Ohio State University College of Nursing, 1577 Neil Avenue, Columbus, OH 43210, USA
| | - Jonathan Schaffir
- The Ohio State University Department of Psychology, 1835 Neil Avenue, Columbus, OH 43210, USA
| | - Brett Worly
- The Ohio State University Department of Psychology, 1835 Neil Avenue, Columbus, OH 43210, USA
| | - Katherine Strafford
- The Ohio State University Department of Psychology, 1835 Neil Avenue, Columbus, OH 43210, USA
| | - Loriana Soma
- The Ohio State University Department of Psychology, 1835 Neil Avenue, Columbus, OH 43210, USA
| | - Cassandra Sampsell
- The Ohio State University Department of Psychology, 1835 Neil Avenue, Columbus, OH 43210, USA
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Geyer K, Raab R, Hoffmann J, Hauner H. Development and validation of a screening questionnaire for early identification of pregnant women at risk for excessive gestational weight gain. BMC Pregnancy Childbirth 2023; 23:249. [PMID: 37055730 PMCID: PMC10100402 DOI: 10.1186/s12884-023-05569-7] [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: 01/12/2023] [Accepted: 04/01/2023] [Indexed: 04/15/2023] Open
Abstract
BACKGROUND Excessive weight gain during pregnancy is associated with adverse health outcomes for mother and child. Intervention strategies to prevent excessive gestational weight gain (GWG) should consider women's individual risk profile, however, no tool exists for identifying women at risk at an early stage. The aim of the present study was to develop and validate a screening questionnaire based on early risk factors for excessive GWG. METHODS The cohort from the German "Gesund leben in der Schwangerschaft"/ "healthy living in pregnancy" (GeliS) trial was used to derive a risk score predicting excessive GWG. Sociodemographics, anthropometrics, smoking behaviour and mental health status were collected before week 12th of gestation. GWG was calculated using the last and the first weight measured during routine antenatal care. The data were randomly split into development and validation datasets with an 80:20 ratio. Using the development dataset, a multivariate logistic regression model with stepwise backward elimination was performed to identify salient risk factors associated with excessive GWG. The β coefficients of the variables were translated into a score. The risk score was validated by an internal cross-validation and externally with data from the FeLIPO study (GeliS pilot study). The area under the receiver operating characteristic curve (AUC ROC) was used to estimate the predictive power of the score. RESULTS 1790 women were included in the analysis, of whom 45.6% showed excessive GWG. High pre-pregnancy body mass index, intermediate educational level, being born in a foreign country, primiparity, smoking, and signs of depressive disorder were associated with the risk of excessive GWG and included in the screening questionnaire. The developed score varied from 0-15 and divided the women´s risk for excessive GWG into low (0-5), moderate (6-10) and high (11-15). The cross-validation and the external validation yielded a moderate predictive power with an AUC of 0.709 and 0.738, respectively. CONCLUSIONS Our screening questionnaire is a simple and valid tool to identify pregnant women at risk for excessive GWG at an early stage. It could be used in routine care to provide targeted primary prevention measures to women at particular risk to gain excessive gestational weight. TRIAL REGISTRATION NCT01958307, ClinicalTrials.gov, retrospectively registered 9 October 2013.
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Affiliation(s)
- Kristina Geyer
- Institute of Nutritional Medicine, Else Kröner-Fresenius-Centre for Nutritional Medicine, School of Medicine, Technical University of Munich, Georg-Brauchle-Ring 62, 80992, Munich, Germany
| | - Roxana Raab
- Institute of Nutritional Medicine, Else Kröner-Fresenius-Centre for Nutritional Medicine, School of Medicine, Technical University of Munich, Georg-Brauchle-Ring 62, 80992, Munich, Germany
| | - Julia Hoffmann
- Institute of Nutritional Medicine, Else Kröner-Fresenius-Centre for Nutritional Medicine, School of Medicine, Technical University of Munich, Georg-Brauchle-Ring 62, 80992, Munich, Germany
- European Foundation for the Care of Newborn Infants, Hofmannstrasse 7a, 81379, Munich, Germany
| | - Hans Hauner
- Institute of Nutritional Medicine, Else Kröner-Fresenius-Centre for Nutritional Medicine, School of Medicine, Technical University of Munich, Georg-Brauchle-Ring 62, 80992, Munich, Germany.
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Hawkins MS, Pokutnaya DY, Bodnar LM, Levine MD, Buysse DJ, Davis EM, Wallace ML, Zee PC, Grobman WA, Reid KJ, Facco FL. The association between multidimensional sleep health and gestational weight gain: nuMoM2b Sleep Duration and Continuity Study. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.02.21.23285931. [PMID: 36891291 PMCID: PMC9994039 DOI: 10.1101/2023.02.21.23285931] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/26/2023]
Abstract
Background Although poor sleep health is associated with weight gain and obesity in the non-pregnant population, research on the impact of sleep health on weight change among pregnant people using a multidimensional sleep-health framework is needed. This study examined associations among mid-pregnancy sleep health indicators, multidimensional sleep health, and gestational weight gain (GWG). Methods We conducted a secondary data analysis of the Nulliparous Pregnancy Outcome Study: Monitoring Mothers-to-be Sleep Duration and Continuity Study (n=745). Indicators of individual sleep domains (i.e., regularity, nap duration, timing, efficiency, and duration) were assessed via actigraphy between 16 and 21 weeks of gestation. We defined "healthy" sleep in each domain based on empirical thresholds. Multidimensional sleep health was based on sleep profiles derived from latent class analysis. Total GWG, the difference between self-reported pre-pregnancy weight and the last measured weight before delivery, was converted to z-scores using gestational age- and BMI-specific charts. GWG was defined as low (<-1 SD), moderate (-1 or +1 SD), and high (>+1 SD). Results Nearly 50% of the participants had a healthy sleep profile (i.e., healthy sleep in most domains), whereas others had a sleep profile defined as having varying degrees of poor health in each domain. While indicators of individual sleep domains were not associated with GWG, multidimensional sleep health was related to low and high GWG. Participants with a sleep profile characterized as having low efficiency, late timing, and long sleep duration (vs. healthy sleep profile) had a higher risk (RR 1.7; 95% CI 1.0, 3.1) of low GWG a lower risk of high GWG (RR 0.5 95% CI 0.2, 1.1) (vs. moderate GWG). Conclusions Multidimensional sleep health was more strongly associated with GWG than individual sleep domains. Future research should determine whether sleep health is a valuable intervention target for optimizing GWG. Synopsis Study question: What is the association between mid-pregnancy multidimensional sleep health and gestational weight gain?What's already known?: Sleep is associated with weight and weight gain outside of pregnancyWhat does this study add?: We identified patterns of sleep behaviors associated with an increased risk of low gestational weight gain.
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Incorporating Skills for Managing Mood, Stress, and Sleep into a Gestational Weight Gain Intervention. JOURNAL OF CONTEMPORARY PSYCHOTHERAPY 2022. [DOI: 10.1007/s10879-022-09577-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/03/2022]
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Ganho de peso gestacional excessivo no Sistema Único de Saúde. ACTA PAUL ENFERM 2021. [DOI: 10.37689/acta-ape/2021ao001105] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
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Rolińska A, Aftyka A, Samardakiewicz M. Coping with Stress in Complicated Pregnancy and Gestational Weight Gain. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph181910493. [PMID: 34639793 PMCID: PMC8507853 DOI: 10.3390/ijerph181910493] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 07/11/2021] [Revised: 09/22/2021] [Accepted: 09/30/2021] [Indexed: 11/16/2022]
Abstract
Maternal obesity is one of the leading health problems in the world. Excessive gestational weight gain (GWG) can lead to many complications during pregnancy, especially when it is accompanied by diabetes. Moreover, the risk of excessive GWG in pregnant women is significant, irrespective of prenatal counseling. Studies on this subject concerning coping with stress are lacking in the literature. The present work is aimed at evaluating the styles of coping with stress and their relation to GWG in pregnant women with gestational diabetes (GDM) for whom sudden adaptation to dietary management during this period can be challenging. It was indicated that women with GDM reported high stress related to potential maternal-fetal complications and worries about compliance with dietary management. The overall weight gain of participants in pregnancy was determined in connection to their prepregnancy body mass index (BMI) and classified based on the Institute of Medicine guidelines. A standardized psychological scale was used to assess coping styles. The results showed that almost half of the participants did not meet the Institute of Medicine recommendations for weight gain during pregnancy. There were significant correlations between the styles of coping with stress and the GWG. Additionally, low correlations were indicated between emotional, avoidant, task-oriented coping styles and the age of pregnant women with GDM. Regression analysis showed that the stress-coping style that focused on emotions was the most predictive of overall weight gain. There is a need for a better understanding of psychological barriers in achieving the recommended GWG and potential limitations in providers' interventions, particularly for GDM.
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Affiliation(s)
- Agnieszka Rolińska
- Chair and Department of Psychology, Faculty of Medicine, Medical University of Lublin, 20-059 Lublin, Poland;
- Correspondence:
| | - Anna Aftyka
- Department of Anesthesiological and Intensive Care Nursing, Faculty of Health Sciences, Medical University of Lublin, 20-059 Lublin, Poland;
| | - Marzena Samardakiewicz
- Chair and Department of Psychology, Faculty of Medicine, Medical University of Lublin, 20-059 Lublin, Poland;
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Lu CH, Van Blyderveen S, Yu ZM, Vanstone M, Biringer A, Sword W, Schmidt L, McDonald SD. A goal set too high: factors associated with planning excess gestational weight gain in a prospective cohort study. J Matern Fetal Neonatal Med 2021; 35:7865-7873. [PMID: 34139930 DOI: 10.1080/14767058.2021.1937988] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Abstract
OBJECTIVE This study aimed to understand physical, knowledge, psychological, and lifestyle factors associated with planned excess gestational weight gain (GWG), a strong and potentially modifiable predictor of actual excess GWG, which contributes to maternal and child obesity along with other adverse maternal and fetal outcomes. METHODS This is a secondary analysis of data from a prospective cohort study where women completed a questionnaire in early pregnancy. Women were asked to report their planned GWG, which was then categorized as above, within, or below the Institute of Medicine (IOM) guidelines. Univariable and multivariable analyses were performed to identify variables associated with planned excess GWG. RESULTS Of 970 women included in the analysis, 300 reported a planned GWG above the IOM guidelines. Predictors of excess planned GWG included reporting healthcare provider recommendations to gain weight above the guidelines (adjusted odds ratio [aOR], 62.17; 95% confidence interval [CI], 13.75-281.03), overestimating first trimester weight gain recommendations (aOR, 1.83; 95% CI, 1.21-2.77), believing in risks to the baby with inadequate GWG (aOR 2.16; 95% CI,1.29-3.60), inaccurate self-perceived prepregnancy body size (aOR, 1.88; 95% CI, 1.22-2.89), low or high emotional suppression (aOR, 1.78; 95% CI, 1.06-2.99; and aOR, 2.57; 95% CI, 1.21-5.45, respectively), physical inactivity (aOR, 1.10; 95% CI, 1.03-1.17), and overweight or obesity (aOR, 5.76; 95% CI, 3.70-8.98; and aOR, 11.46; 95% CI, 6.54-20.06, respectively). Protective factors against planned excess GWG included increased maternal age (aOR, 0.95; 95% CI, 0.92-0.99), and believing in risks to themselves with inadequate GWG (aOR 0.64; 95% CI, 0.42-0.97) or believing in risks to the baby with excess GWG (aOR, 0.49; 95% CI, 0.27-0.88). CONCLUSIONS Women with overweight or obesity are at greater risk of prospectively planning excess GWG, and may especially benefit from healthcare provider counseling on appropriate GWG. Other modifiable factors for planned excess GWG included knowledge about risks of inappropriate weight gain and physical inactivity.
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Affiliation(s)
- Cathy Huilin Lu
- Department of Obstetrics and Gynecology, McMaster University, Hamilton, Canada
| | - Sherry Van Blyderveen
- New Leaf Psychology Centre, Milton, Canada.,Eating Disorders Program at Homewood Health Centre, Guelph, Canada
| | - Zhijie Michael Yu
- Department of Obstetrics and Gynecology, McMaster University, Hamilton, Canada
| | - Meredith Vanstone
- Department of Family Medicine, McMaster University, Hamilton, Canada
| | - Anne Biringer
- Ray D. Wolfe Department of Family Medicine, Mount Sinai Hospital, Toronto, Canada
| | - Wendy Sword
- School of Nursing, McMaster University, Hamilton, Canada
| | - Louis Schmidt
- Department of Psychology, Neuroscience and Behaviour, McMaster University, Hamilton, Canada
| | - Sarah D McDonald
- Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, McMaster University, Hamilton, Canada.,Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Canada.,Department of Radiology, McMaster University, Hamilton, Canada
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Feng YY, Yu ZM, van Blyderveen S, Schmidt L, Sword W, Vanstone M, Biringer A, McDonald H, Beyene J, McDonald SD. Gestational weight gain outside the 2009 Institute of Medicine recommendations: novel psychological and behavioural factors associated with inadequate or excess weight gain in a prospective cohort study. BMC Pregnancy Childbirth 2021; 21:70. [PMID: 33478410 PMCID: PMC7818557 DOI: 10.1186/s12884-021-03555-5] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2020] [Accepted: 01/12/2021] [Indexed: 11/15/2022] Open
Abstract
BACKGROUND Previous studies have noted traditional physical, demographic, and obstetrical predictors of inadequate or excess gestational weight gain, but the roles of psychological and behavioral factors are not well established. Few interventions targeting traditional factors of gestational weight gain have been successful, necessitating exploration of new domains. The objective of this study was to identify novel psychological and behavioral factors, along with physical, demographic, and obstetrical factors, associated with gestational weight gain that is discordant with the 2009 Institute of Medicine guidelines (inadequate or excess gain). METHODS We recruited English-speaking women with a live singleton fetus at 8 to 20 weeks of gestation who received antenatal care from 12 obstetrical, family medicine, and midwifery clinics. A questionnaire was used to collect information related to demographic, physical, obstetrical, psychological, and behavioural factors anticipated to be related to weight gain. The association between these factors and total gestational weight gain, classified as inadequate, appropriate, and excess, was examined using stepwise multinomial logistic regression. RESULTS Our study population comprised 970 women whose baseline data were obtained at a mean of 14.8 weeks of gestation ±3.4 weeks (standard deviation). Inadequate gestational weight gain was associated with obesity, planned gestational weight gain (below the guidelines or not reported), anxiety, and eating sensibly when with others but overeating when alone, while protective factors were frequent pregnancy-related food cravings and preferring an overweight or obese body size image. Excess gestational weight gain was associated with pre-pregnancy overweight or obese body mass index, planned gestational weight gain (above guidelines), frequent eating in front of a screen, and eating sensibly when with others but overeating when alone, while a protective factor was being underweight pre-pregnancy. CONCLUSIONS In addition to commonly studied predictors, this study identified psychological and behavioral factors associated with inadequate or excess gestational weight gain. Factors common to both inadequate and excessive gestational weight gain were also identified, emphasizing the multidimensional nature of the contributors to guideline-discordant weight gain.
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Affiliation(s)
- Yu Yang Feng
- Department of Obstetrics and Gynecology, McMaster University, Hamilton, Ontario Canada
| | - Zhijie Michael Yu
- Department of Obstetrics and Gynecology, McMaster University, Hamilton, Ontario Canada
| | | | - Louis Schmidt
- Department of Psychology, Neuroscience & Behaviour, McMaster University, Hamilton, Ontario Canada
| | - Wendy Sword
- School of Nursing, McMaster University, Hamilton, Ontario Canada
| | - Meredith Vanstone
- Department of Family Medicine, McMaster University, Hamilton, Ontario Canada
| | - Anne Biringer
- Ray D. Wolfe Department of Family Medicine, Mount Sinai Hospital, Toronto, Ontario Canada
| | - Helen McDonald
- Midwifery Education Program, McMaster University, Hamilton, Ontario Canada
| | - Joseph Beyene
- Department of Health Research Methods, Evidence & Impact, McMaster University, Hamilton, Ontario Canada
| | - Sarah Diana McDonald
- Department of Health Research Methods, Evidence & Impact, McMaster University, Hamilton, Ontario Canada
- Department of Radiology, McMaster University, Hamilton, Ontario Canada
- Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, McMaster University, 1280 Main Street West, room 3N52B, Hamilton, Ontario L8S 4K1 Canada
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12
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Yu ZM, Van Blyderveen S, Schmidt L, Lu C, Vanstone M, Biringer A, Sword W, Beyene J, McDonald SD. Predictors of Gestational Weight Gain Examined As a Continuous Outcome: A Prospective Analysis. J Womens Health (Larchmt) 2021; 30:1006-1015. [PMID: 33439752 DOI: 10.1089/jwh.2020.8799] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022] Open
Abstract
Background: Excess gestational weight gain (GWG) is common and adversely affects both mothers and offspring, including increasing the risk of maternal and childhood obesity. GWG is typically examined categorically, with women grouped into categories of those who gain above, within, and below guideline recommendations. Examining GWG as a continuous variable, rather than categorically, allows for a consideration of GWG at a finer level of detail, increasing precision. Methods: We collected exposure data among 970 pregnant women in early gestation using a standardized questionnaire in Ontario, Canada, from 2015 to 2017. Maternal weight and height were extracted from antenatal records. Continuous GWG was calculated using four methods: percentage of ideal weight gain, excess GWG, GWG adequacy ratio, and GWG z-score. We used the stepwise linear regression analyses to select variables associated with GWG. Results: We found that a common set of variables (parity, prepregnancy body mass index, planned pregnancy weight gain, smoking, pregnancy-related food cravings, and fast food intake) significantly predicted GWG in a manner consistent across the four GWG outcomes. Certain psychological factors, including the perception of families' and friends' attitudes toward the food cravings of pregnant women, emotion suppression, compensatory health beliefs coupled with eating unhealthy foods, frequent prepregnancy dietary restraint in carbohydrates, sugar, and meals, preferred prepregnancy body size image, agreeable and conscientious personalities, and depression, also were related with GWG. Conclusions: Our findings demonstrate that psychological factors play an important role in the magnitude of GWG, providing key avenues to inform interventions to support healthy weight gain in pregnancy.
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Affiliation(s)
- Zhijie Michael Yu
- Department of Obstetrics and Gynecology, McMaster University, Hamilton, Canada
| | - Sherry Van Blyderveen
- New Leaf Psychology Centre, Milton, Canada.,Eating Disorders Program at Homewood Health Centre, Guelph, Canada
| | - Louis Schmidt
- Department of Psychology, Neuroscience and Behaviour, McMaster University, Hamilton, Canada
| | - Cathy Lu
- Department of Obstetrics and Gynecology, McMaster University, Hamilton, Canada
| | - Meredith Vanstone
- Department of Family Medicine, McMaster University, Hamilton, Canada
| | - Anne Biringer
- Ray D. Wolfe Department of Family Medicine, Mount Sinai Hospital, Toronto, Canada
| | - Wendy Sword
- School of Nursing, McMaster University, Hamilton, Canada
| | - Joseph Beyene
- Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, McMaster University, Hamilton, Canada
| | - Sarah D McDonald
- Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, McMaster University, Hamilton, Canada.,Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Canada.,Department of Radiology, McMaster University, Hamilton, Canada
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Does Excess First- or Second-Trimester Weight Gain Predict Excess Total Gestational Weight Gain? A Multicentre Prospective Cohort Study. JOURNAL OF OBSTETRICS AND GYNAECOLOGY CANADA 2020; 43:949-956. [PMID: 33333314 DOI: 10.1016/j.jogc.2020.10.022] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2020] [Revised: 10/21/2020] [Accepted: 10/24/2020] [Indexed: 11/20/2022]
Abstract
OBJECTIVES Early excess gestational weight gain (GWG) has been examined as a predictor of total excess GWG in a few international studies; however, Canadian data are lacking. We sought to determine whether early (first- and second-trimester) excess GWG predicted total excess GWG. METHODS We conducted an a priori planned secondary analysis of a multicentre prospective study of English-speaking Ontario women with a singleton pregnancy between 80 and 206 weeks gestation. Our primary outcome was prediction of total excess GWG. We calculated the sensitivity, specificity, predictive values, and likelihood ratios, by body mass index (BMI), for excess first- and second-trimester GWG. RESULTS Of the 970 women who met the inclusion criteria, 387 and 754, had first- and second-trimester weights recorded in their antenatal record, respectively. For normal, overweight, and obese women, the sensitivity of excess first-trimester GWG for total excess gain was 66%, 68%, and 65%, respectively; and the specificity was 48%, 43%, and 36%, respectively. The sensitivity of excess second-trimester GWG for total excess gain for normal weight, overweight, and obese women was higher, at 92%, 96%, and 95%, respectively; while the specificity was low at 31%, 16%, and 29%, respectively. CONCLUSION In the first known Canadian study of early excess weight gain as the predictor of total GWG, we found that excess first-trimester GWG did not predict total excess GWG, but that the sensitivity of excess second-trimester GWG for excess total GWG was high across BMI categories.
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Competing priorities: a qualitative study of how women make and enact decisions about weight gain in pregnancy. BMC Pregnancy Childbirth 2020; 20:507. [PMID: 32883236 PMCID: PMC7470685 DOI: 10.1186/s12884-020-03210-5] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2020] [Accepted: 08/25/2020] [Indexed: 01/20/2023] Open
Abstract
Background Despite ample clinical evidence that gaining excess weight in pregnancy results in negative health outcomes for women and infants, more than half of women in Western industrialized nations gain in excess of national guidelines. The influence of socio-demographic factors and weight gain is well-established but not causal; the influence of psychological factors may explain some of this variation. Methods This is the qualitative portion of an explanatory sequential mixed-methods study designed to identify predictive psychological factors of excess gestational weight gain (QUAN) and then explain the relevance of those factors (qual). For this portion of the study, we used a qualitative descriptive approach to elicit 39 pregnant women’s perspectives of gestational weight gain, specifically inquiring about factors determined as relevant to excess gestational weight gain by our previous predictive study. Women were interviewed in the latter half of their third trimester. Data were analyzed using a combination of unconstrained deductive content analysis to describe the findings relevant to the predictive factors and a staged inductive content analytic approach to examine the data without a focus on the predictive factors. Results Very few participants consistently made deliberate choices relevant to weight gain; most behaviour relevant to weight gain happened with in-the-moment decisions. These in-the-moment decisions were influenced by priorities, hunger, a consideration of the consequence of the decision, and accommodation of pregnancy-related discomfort. They were informed by the foundational information a woman had available to her, including previous experience and interactions with health care providers. The foundational information women used to make these decisions was often incomplete. While women were aware of the guidelines related to gestational weight gain, they consistently mis-applied them due to incorrect understanding of their own BMI. Only one woman was aware that weight gain was linked to maternal and infant health outcomes. Conclusions There is an important role for prenatal providers to provide the foundational information to positively influence in-the-moment decisions. Understanding how weight gain guidelines apply to one’s own pre-pregnancy BMI and comprehending the well-established link between gestational weight gain and health outcomes may help women prioritize healthy weight gain amongst many competing factors.
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