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Han YC, Laketic K, Hornaday KK, Slater DM, Mu C, Tough SC, Shearer J. Maternal Acylcarnitine Disruption as a Potential Predictor of Preterm Birth in Primigravida: A Preliminary Investigation. Nutrients 2024; 16:595. [PMID: 38474728 DOI: 10.3390/nu16050595] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2024] [Revised: 02/04/2024] [Accepted: 02/10/2024] [Indexed: 03/14/2024] Open
Abstract
Preterm birth, defined as any birth before 37 weeks of completed gestation, poses adverse health risks to both mothers and infants. Despite preterm birth being associated with several risk factors, its relationship to maternal metabolism remains unclear, especially in first-time mothers. Aims of the present study were to identify maternal metabolic disruptions associated with preterm birth and to evaluate their predictive potentials. Blood was collected, and the serum harvested from the mothers of 24 preterm and 42 term births at 28-32 weeks gestation (onset of the 3rd trimester). Serum samples were assayed by untargeted metabolomic analyses via liquid chromatography/mass spectrometry (QTOF-LC/MS). Metabolites were annotated by inputting the observed mass-to-charge ratio into the Human Metabolome Database (HMDB). Analysis of 181 identified metabolites by PLS-DA modeling using SIMCA (v17) showed reasonable separation between the two groups (CV-ANOVA, p = 0.02). Further statistical analysis revealed lower serum levels of various acyl carnitines and amino acid metabolites in preterm mothers. Butenylcarnitine (C4:1), a short-chain acylcarnitine, was found to be the most predictive of preterm birth (AUROC = 0.73, [CI] 0.60-0.86). These observations, in conjuncture with past literature, reveal disruptions in fatty acid oxidation and energy metabolism in preterm primigravida. While these findings require validation, they reflect altered metabolic pathways that may be predictive of preterm delivery in primigravida.
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Affiliation(s)
- Ying-Chieh Han
- Department of Biomedical Engineering, Faculty of Engineering, University of Calgary, 2500 University Dr. NW, Calgary, AB T2N 1N4, Canada
| | - Katarina Laketic
- Department of Biomedical Engineering, Faculty of Engineering, University of Calgary, 2500 University Dr. NW, Calgary, AB T2N 1N4, Canada
| | - Kylie K Hornaday
- Department of Physiology and Pharmacology, Cumming School of Medicine, University of Calgary, 2500 University Dr. NW, Calgary, AB T2N 1N4, Canada
- Alberta Children's Hospital Research Institute, Cumming School of Medicine, University of Calgary, 2500 University Dr. NW, Calgary, AB T2N 1N4, Canada
| | - Donna M Slater
- Department of Physiology and Pharmacology, Cumming School of Medicine, University of Calgary, 2500 University Dr. NW, Calgary, AB T2N 1N4, Canada
- Alberta Children's Hospital Research Institute, Cumming School of Medicine, University of Calgary, 2500 University Dr. NW, Calgary, AB T2N 1N4, Canada
| | - Chunlong Mu
- Alberta Children's Hospital Research Institute, Cumming School of Medicine, University of Calgary, 2500 University Dr. NW, Calgary, AB T2N 1N4, Canada
- Department of Biochemistry and Molecular Biology, Cumming School of Medicine, University of Calgary, 3330 Hospital Drive NW, Calgary, AB T2N 4N1, Canada
- Faculty of Kinesiology, University of Calgary, 2500 University Dr. NW, Calgary, AB T2N 1N4, Canada
| | - Suzanne C Tough
- Alberta Children's Hospital Research Institute, Cumming School of Medicine, University of Calgary, 2500 University Dr. NW, Calgary, AB T2N 1N4, Canada
- Department of Pediatrics and Community Health Sciences, Cumming School of Medicine, University of Calgary, 2500 University Dr. NW, Calgary, AB T2N 1N4, Canada
| | - Jane Shearer
- Department of Biomedical Engineering, Faculty of Engineering, University of Calgary, 2500 University Dr. NW, Calgary, AB T2N 1N4, Canada
- Alberta Children's Hospital Research Institute, Cumming School of Medicine, University of Calgary, 2500 University Dr. NW, Calgary, AB T2N 1N4, Canada
- Department of Biochemistry and Molecular Biology, Cumming School of Medicine, University of Calgary, 3330 Hospital Drive NW, Calgary, AB T2N 4N1, Canada
- Faculty of Kinesiology, University of Calgary, 2500 University Dr. NW, Calgary, AB T2N 1N4, Canada
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Pitt TM, Hetherington E, Adhikari K, Premji S, Racine N, Tough SC, McDonald S. Developing non-response weights to account for attrition-related bias in a longitudinal pregnancy cohort. BMC Med Res Methodol 2023; 23:295. [PMID: 38097944 PMCID: PMC10722744 DOI: 10.1186/s12874-023-02121-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2023] [Accepted: 12/07/2023] [Indexed: 12/17/2023] Open
Abstract
BACKGROUND Prospective cohorts may be vulnerable to bias due to attrition. Inverse probability weights have been proposed as a method to help mitigate this bias. The current study used the "All Our Families" longitudinal pregnancy cohort of 3351 maternal-infant pairs and aimed to develop inverse probability weights using logistic regression models to predict study continuation versus drop-out from baseline to the three-year data collection wave. METHODS Two methods of variable selection took place. One method was a knowledge-based a priori variable selection approach, while the second used Least Absolute Shrinkage and Selection Operator (LASSO). The ability of each model to predict continuing participation through discrimination and calibration for both approaches were evaluated by examining area under the receiver operating curve (AUROC) and calibration plots, respectively. Stabilized inverse probability weights were generated using predicted probabilities. Weight performance was assessed using standardized differences of baseline characteristics for those who continue in study and those that do not, with and without weights (unadjusted estimates). RESULTS The a priori and LASSO variable selection method prediction models had good and fair discrimination with AUROC of 0.69 (95% Confidence Interval [CI]: 0.67-0.71) and 0.73 (95% CI: 0.71-0.75), respectively. Calibration plots and non-significant Hosmer-Lemeshow Goodness of Fit Tests indicated that both the a priori (p = 0.329) and LASSO model (p = 0.242) were well-calibrated. Unweighted results indicated large (> 10%) standardized differences in 15 demographic variables (range: 11 - 29%), when comparing those who continued in the study with those that did not. Weights derived from the a priori and LASSO models reduced standardized differences relative to unadjusted estimates, with the largest differences of 13% and 5%, respectively. Additionally, when applying the same LASSO variable selection method to develop weights in future data collection waves, standardized differences remained below 10% for each demographic variable. CONCLUSION The LASSO variable selection approach produced robust weights that addressed non-response bias more than the knowledge-driven approach. These weights can be applied to analyses across multiple longitudinal waves of data collection to reduce bias.
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Affiliation(s)
- Tona M Pitt
- Department of Paediatrics, University of Calgary, 28 Oki Drive NW, Calgary, T3B 6A8, Canada
- Provincial Population and Public Health, Alberta Health Services, 10301 Southport Rd SW, Calgary, T2W 1S7, Canada
| | - Erin Hetherington
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, 2001 McGill College, Montreal, H3A 1G1, Canada
| | - Kamala Adhikari
- Department of Community Health Sciences, University of Calgary, 3280 Hospital Drive NW, Calgary, T2N 4Z6, Canada
- Provincial Population and Public Health, Alberta Health Services, 10301 Southport Rd SW, Calgary, T2W 1S7, Canada
| | - Shainur Premji
- Department of Community Health Sciences, University of Calgary, 3280 Hospital Drive NW, Calgary, T2N 4Z6, Canada
- Centre for Health Economics, University of York, Heslington, YO10 5DD, York, UK
| | - Nicole Racine
- School of Psychology, Faculty of Social Sciences, University of Ottawa, 136 Jean- Jacques Lussier, Ottawa, K1N 6N5, Canada
- Children's Hospital of Eastern Ontario Research Institute, 401 Smyth Rd, Ottawa, K1H 5B2, Canada
| | - Suzanne C Tough
- Department of Paediatrics, University of Calgary, 28 Oki Drive NW, Calgary, T3B 6A8, Canada
- Department of Community Health Sciences, University of Calgary, 3280 Hospital Drive NW, Calgary, T2N 4Z6, Canada
| | - Sheila McDonald
- Department of Paediatrics, University of Calgary, 28 Oki Drive NW, Calgary, T3B 6A8, Canada.
- Department of Community Health Sciences, University of Calgary, 3280 Hospital Drive NW, Calgary, T2N 4Z6, Canada.
- Provincial Population and Public Health, Alberta Health Services, 10301 Southport Rd SW, Calgary, T2W 1S7, Canada.
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Bhattarai A, Dimitropoulos G, Bulloch AGM, Tough SC, Patten SB. Association between childhood adversities and premature and potentially avoidable mortality in adulthood: a population-based study. BMC Public Health 2023; 23:2036. [PMID: 37853382 PMCID: PMC10585893 DOI: 10.1186/s12889-023-16935-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2022] [Accepted: 10/08/2023] [Indexed: 10/20/2023] Open
Abstract
BACKGROUND The association of childhood adversities with mortality has rarely been explored, and even less studied is the question of whether any excess mortality may be potentially preventable. This study examined the association between specific childhood adversities and premature and potentially avoidable mortality (PPAM) in adulthood in a representative sample of the general population. Also, we examined whether the associations were potentially mediated by various adult socioeconomic, psychosocial, and behavioral factors. METHODS The study used data from the National Population Health Survey (NPHS-1994) linked to the Canadian Vital Statistics Database (CVSD 1994-2014) available from Statistics Canada. The NPHS interview retrospectively assessed childhood exposure to prolonged hospitalization, parental divorce, prolonged parental unemployment, prolonged trauma, parental problematic substance use, physical abuse, and being sent away from home for doing something wrong. An existing definition of PPAM, consisting of causes of death considered preventable or treatable before age 75, was used. Competing cause survival models were used to examine the associations of specific childhood adversities with PPAM in adulthood among respondents aged 18 to 74 years (rounded n = 11,035). RESULTS During the 20-year follow-up, 5.4% of the sample died prematurely of a cause that was considered potentially avoidable. Childhood adversities had a differential effect on mortality. Physical abuse (age-adjusted sub-hazard ratio; SHR 1.44; 95% CI 1.03, 2.00) and being sent away from home (age-adjusted SHR 2.26; 95% CI 1.43,3.57) were significantly associated with PPAM. The associations were attenuated when adjusted for adulthood factors, namely smoking, poor perceived health, depression, low perceived social support, and low income, consistent with possible mediating effects. Other adversities under study were not associated with PPAM. CONCLUSION The findings imply that the psychological sequelae of childhood physical abuse and being sent away from home and subsequent uptake of adverse health behavior may lead to increased risk of potentially avoidable mortality. The potential mediators identified offer directions for future research to perform causal mediation analyses with suitable data and identify interventions aimed at preventing premature mortality due to potentially avoidable causes. Other forms of adversities, mostly related to household dysfunction, may not be determinants of the distal health outcome of mortality.
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Affiliation(s)
- Asmita Bhattarai
- Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, 3280 Hospital Drive NW, Calgary, AB, Canada.
- Mathison Centre for Mental Health Research and Education, University of Calgary, 3280 Hospital Drive NW, Calgary, AB, Canada.
| | - Gina Dimitropoulos
- Mathison Centre for Mental Health Research and Education, University of Calgary, 3280 Hospital Drive NW, Calgary, AB, Canada
- Faculty of Social Work, University of Calgary, 2500 University Dr NW, Calgary, AB, T2N 1N4, Canada
| | - Andrew G M Bulloch
- Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, 3280 Hospital Drive NW, Calgary, AB, Canada
- Mathison Centre for Mental Health Research and Education, University of Calgary, 3280 Hospital Drive NW, Calgary, AB, Canada
- Department of Psychiatry, Cumming School of Medicine, University of Calgary, 2500 University Dr NW, Calgary, AB, T2N 1N4, Canada
| | - Suzanne C Tough
- Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, 3280 Hospital Drive NW, Calgary, AB, Canada
- Department of Pediatrics, Cumming School of Medicine, University of Calgary, 2500 University Dr NW, Calgary, AB, T2N 1N4, Canada
| | - Scott B Patten
- Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, 3280 Hospital Drive NW, Calgary, AB, Canada
- Mathison Centre for Mental Health Research and Education, University of Calgary, 3280 Hospital Drive NW, Calgary, AB, Canada
- Department of Psychiatry, Cumming School of Medicine, University of Calgary, 2500 University Dr NW, Calgary, AB, T2N 1N4, Canada
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Scime NV, Brockway ML, Metcalfe A, Nettel-Aguirre A, Tough SC, Chaput KH. Association of illness perceptions and exclusive breastfeeding intentions among pregnant women with chronic conditions: A community-based pregnancy cohort study. J Psychosom Res 2023; 172:111418. [PMID: 37429127 DOI: 10.1016/j.jpsychores.2023.111418] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/08/2022] [Revised: 06/05/2023] [Accepted: 06/13/2023] [Indexed: 07/12/2023]
Abstract
OBJECTIVE We examined whether changes in illness perceptions from preconception to pregnancy were associated with intentions to exclusively breastfeed to 6 months postpartum among women with chronic physical health conditions. METHODS We analyzed self-reported cross-sectional questionnaire data collected in the third trimester from 361 women with chronic conditions enrolled in a community-based cohort study (Alberta, Canada). For individual and total illness perceptions, measured with the Brief Illness Perception Questionnaire, women were classified using change scores (preconception minus pregnancy) into one of the following groups: "worsening," "improving," or "stable" in pregnancy. Intention to exclusively breastfeed was defined as plans to provide only breast milk for the recommended first 6 months after birth. We calculated odds ratios (ORs) and 95% confidence intervals (CIs) using multivariable logistic regression modelling, with the "stable" group as the reference and controlling for demographic factors, chronic condition duration and medication, prenatal class attendance, and social support. RESULTS Overall, 61.8% of women planned to exclusively breastfeed to 6 months. Worsened total illness perceptions (adjusted OR 0.50, 95% CI 0.30-0.82) as well as perceptions of worsened identity (i.e., degree of symptoms; adjusted OR 0.49, 95% CI 0.28-0.85) or consequences (i.e., impact on functioning; adjusted OR 0.60, 95% CI 0.34-1.06) were associated with lower odds of intending to exclusively breastfeed to 6 months. CONCLUSIONS Women who perceive their illness experience to worsen during pregnancy are less likely to plan to exclusively breastfeed to 6 months in accordance with public health recommendations.
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Affiliation(s)
- Natalie V Scime
- Department of Community Health Sciences, University of Calgary, Calgary, Alberta, Canada.
| | - Meredith L Brockway
- Department of Pediatrics and Child Health, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Amy Metcalfe
- Department of Community Health Sciences, University of Calgary, Calgary, Alberta, Canada; Department of Obstetrics and Gynecology, University of Calgary, Calgary, Alberta, Canada; Department of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Alberto Nettel-Aguirre
- Centre For Health and Social Analytics, National Institute for Applied Statistical Research, School of Mathematics and Statistics, University of Wollongong, NSW, Australia.; Department of Pediatrics, University of Calgary, Calgary, Alberta, Canada
| | - Suzanne C Tough
- Department of Community Health Sciences, University of Calgary, Calgary, Alberta, Canada; Department of Pediatrics, University of Calgary, Calgary, Alberta, Canada
| | - Kathleen H Chaput
- Department of Community Health Sciences, University of Calgary, Calgary, Alberta, Canada; Department of Obstetrics and Gynecology, University of Calgary, Calgary, Alberta, Canada
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Elmrayed S, Pinto J, Tough SC, McDonald SW, Scime NV, Wollny K, Lee Y, Kramer MS, Ospina MB, Lorenzetti DL, Madubueze A, Leung AA, Kumar M, Fenton TR. Small for gestational age preterm infants and later adiposity and height: A systematic review and meta-analysis. Paediatr Perinat Epidemiol 2023; 37:652-668. [PMID: 37580882 DOI: 10.1111/ppe.13002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/01/2023] [Revised: 07/21/2023] [Accepted: 07/29/2023] [Indexed: 08/16/2023]
Abstract
BACKGROUND Overweight and obesity and their consequent morbidities are important worldwide health problems. Some research suggests excess adiposity origins may begin in fetal life, but unknown is whether this applies to infants born preterm. OBJECTIVE The objective of the study was to assess the association between small for gestational age (SGA) birth and later adiposity and height among those born preterm. DATA SOURCES MEDLINE, EMBASE and CINAHL until October 2022. STUDY SELECTION AND DATA EXTRACTION Studies were included if they reported anthropometric (adiposity measures and height) outcomes for participants born preterm with SGA versus non-SGA. Screening, data extraction and risks of bias assessments were conducted in duplicate by two reviewers. SYNTHESIS We meta-analysed across studies using random-effects models and explored potential heterogeneity sources. RESULTS Thirty-nine studies met the inclusion criteria. In later life, preterm SGA infants had a lower body mass index (-0.66 kg/m2 , 95% CI -0.79, -0.53; 32 studies, I2 = 16.7, n = 30,346), waist circumference (-1.20 cm, 95% CI -2.17, -0.23; 13 studies, I2 = 19.4, n = 2061), lean mass (-2.62 kg, 95% CI -3.45, 1.80; 7 studies, I2 = 0, n = 205) and height (-3.85 cm, 95% CI -4.73, -2.96; 26 studies, I2 = 52.6, n = 4174) compared with those preterm infants born non-SGA. There were no differences between preterm SGA and preterm non-SGA groups in waist/hip ratio, body fat, body fat per cent, truncal fat per cent, fat mass index or lean mass index, although power was limited for some analyses. Studies were rated at high risk of bias due to potential residual confounding and low risk of bias in other domains. CONCLUSIONS Compared to their preterm non-SGA peers, preterm infants born SGA have lower BMI, waist circumference, lean body mass and height in later life. No differences in adiposity were observed between SGA preterm infants and non-SGA preterm infants.
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Affiliation(s)
- Seham Elmrayed
- Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
- Alberta Children's Hospital Research Institute, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
- O'Brien Institute for Public Health, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
- Institute of Global Health and Human Ecology, American University in Cairo, Cairo, Egypt
- Virginia Mason Franciscan Health, Seattle, Washington, USA
| | - Jahaira Pinto
- Faculty of Nursing, University of Calgary, Calgary, Alberta, Canada
| | - Suzanne C Tough
- Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
- Alberta Children's Hospital Research Institute, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
- O'Brien Institute for Public Health, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Sheila W McDonald
- Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
- Alberta Children's Hospital Research Institute, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
- O'Brien Institute for Public Health, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Natalie V Scime
- Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Krista Wollny
- Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
- Alberta Children's Hospital Research Institute, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
- Senior Persons Living Connected, Toronto, Ontario, Canada
| | - Yoonshin Lee
- Senior Persons Living Connected, Toronto, Ontario, Canada
| | - Michael S Kramer
- Departments of Pediatrics and of Epidemiology and Biostatistics, McGill University Faculty of Medicine, Montreal, Quebec, Canada
| | - Maria B Ospina
- Department of Public Health Sciences, Faculty of Health Sciences, Queen's University, Kingston, Canada
| | - Diane L Lorenzetti
- Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
- Health Sciences Library and Department of Community Health Sciences, University of Calgary, Calgary, Alberta, Canada
| | - Ada Madubueze
- Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Alexander A Leung
- Departments of Medicine and Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Manoj Kumar
- Department of Pediatrics, University of Alberta, Edmonton, Alberta, Canada
| | - Tanis R Fenton
- Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
- Alberta Children's Hospital Research Institute, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
- O'Brien Institute for Public Health, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
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Bhattarai A, Dimitropoulos G, Bulloch AGM, Tough SC, Patten SB. Childhood adversities and rate of adulthood all-cause hospitalization in the general population: A retrospective cohort study. PLoS One 2023; 18:e0287015. [PMID: 37307280 DOI: 10.1371/journal.pone.0287015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2022] [Accepted: 05/30/2023] [Indexed: 06/14/2023] Open
Abstract
OBJECTIVE The study examined the association between specific childhood adversities and rate of all-cause hospitalization in adulthood in a large sample of the general population and assessed whether adult socioeconomic and health-related factors mediate those associations. METHODS We used linked data available from Statistics Canada i.e., the Canadian Community Health Survey (CCHS-2005) linked to Discharge Abstract Database (DAD 2005-2017) and Canadian Vital Statistics Database (CVSD 2005-2017). CCHS-2005 measured self-reported exposure to childhood adversities, namely prolonged hospitalization, parental divorce, parental unemployment, prolonged trauma, parental substance use, physical abuse, and being sent away from home for wrongdoing, from a sample of household residents aged 18 years and above (n = 11,340). The number and causes of hospitalization were derived from linkage with DAD. Negative binomial regression was used to characterize the association between childhood adversities and the rate of hospitalization and to identify potential mediators between them. RESULTS During the 12-year follow-up, 37,080 hospitalizations occurred among the respondents, and there were 2,030 deaths. Exposure to at least one childhood adversity and specific adversities (except parental divorce) were significantly associated with the hospitalization rate among people below 65 years. The associations (except for physical abuse) were attenuated when adjusted for one or more of the adulthood factors such as depression, restriction of activity, smoking, chronic conditions, poor perceived health, obesity, unmet health care needs, poor education, and unemployment, observations that are consistent with mediation effects. The associations were not significant among those aged 65 and above. CONCLUSION Childhood adversities significantly increased the rate of hospitalization in young and middle adulthood, and the effect was potentially mediated by adulthood socioeconomic status and health and health care access related factors. Health care overutilization may be reduced through primary prevention of childhood adversities and intervention on those potentially mediating pathways such as improving adulthood socioeconomic circumstances and lifestyle modifications.
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Affiliation(s)
- Asmita Bhattarai
- Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Mathison Centre for Research & Education, University of Calgary, Calgary, AB, Canada
| | - Gina Dimitropoulos
- Mathison Centre for Research & Education, University of Calgary, Calgary, AB, Canada
- Faculty of Social Work, University of Calgary, Calgary, AB, Canada
| | - Andrew G M Bulloch
- Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Mathison Centre for Research & Education, University of Calgary, Calgary, AB, Canada
- Department of Psychiatry, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Suzanne C Tough
- Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Department of Pediatrics, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Scott B Patten
- Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Mathison Centre for Research & Education, University of Calgary, Calgary, AB, Canada
- Department of Psychiatry, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
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Vinther JL, Cadman T, Avraam D, Ekstrøm CT, Sørensen TIA, Elhakeem A, Santos AC, de Moira AP, Heude B, Iñiguez C, Pizzi C, Simons E, Voerman E, Corpeleijn E, Zariouh F, Santorelli G, Inskip HM, Barros H, Carson J, Harris JR, Nader JL, Ronkainen J, Strandberg-Larsen K, Santa-Marina L, Calas L, Cederkvist L, Popovic M, Charles MA, Welten M, Vrijheid M, Azad M, Subbarao P, Burton P, Mandhane PJ, Huang RC, Wilson RC, Haakma S, Fernández-Barrés S, Turvey S, Santos S, Tough SC, Sebert S, Moraes TJ, Salika T, Jaddoe VWV, Lawlor DA, Nybo Andersen AM. Correction: Gestational age at birth and body size from infancy through adolescence: An individual participant data meta-analysis on 253,810 singletons in 16 birth cohort studies. PLoS Med 2023; 20:e1004232. [PMID: 37071835 PMCID: PMC10112920 DOI: 10.1371/journal.pmed.1004232] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/20/2023] Open
Abstract
[This corrects the article DOI: 10.1371/journal.pmed.1004036.].
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Scime NV, Metcalfe A, Nettel-Aguirre A, Tough SC, Chaput KH. Association of postpartum medication practices with early breastfeeding cessation among mothers with chronic conditions: A prospective cohort study. Acta Obstet Gynecol Scand 2023; 102:420-429. [PMID: 36707933 PMCID: PMC10008275 DOI: 10.1111/aogs.14516] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Revised: 01/12/2023] [Accepted: 01/13/2023] [Indexed: 01/29/2023]
Abstract
INTRODUCTION Use of medications is a common concern for breastfeeding women, particularly when they are strongly needed or unavoidable to manage maternal chronic conditions. Yet the influence of medication usage patterns on breastfeeding duration in mothers with chronic conditions is unclear. The objective of this study was to examine whether postpartum medication practices were associated with shorter breastfeeding duration or earlier than planned breastfeeding cessation among mothers with chronic conditions. MATERIAL AND METHODS We analyzed 346 mothers with chronic conditions enrolled in a prospective, community-based pregnancy cohort study (Alberta, Canada) who initiated breastfeeding after birth. Data were collected through self-report questionnaires spanning late pregnancy to 6 months postpartum. Based on reported use of preexisting medications while breastfeeding, women were classified as continuing medications (reference group), discontinuing one or more medications, or those who did not use preexisting medications. Cox proportional hazards regression was used to analyze the association of medication practices and overall breastfeeding duration in weeks. Logistic regression was used to analyze the association of medication practices and earlier than planned breastfeeding cessation. Multivariable models adjusted for demographic and health-related factors. RESULTS Overall, 30.6% of women with chronic conditions stopped breastfeeding in the first 6 months, almost all of whom did so earlier than planned. In multivariable models, medication discontinuation was significantly associated with shorter breastfeeding duration (adjusted hazard ratio [HR] 1.67, 95% confidence interval [CI] 1.03-2.70) and earlier than planned breastfeeding cessation (adjusted odds ratio [OR] 1.85, 95% CI 1.01-3.42), whereas medication non-use was not associated with differences in breastfeeding outcomes. CONCLUSIONS Women with chronic conditions who discontinued preexisting medications while breastfeeding had significantly shorter breastfeeding duration and were less likely to meet their breastfeeding goals in the first 6 months postpartum compared to women who continued preexisting medications.
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Affiliation(s)
- Natalie V Scime
- Department of Community Health Sciences, University of Calgary, Calgary, Alberta, Canada
| | - Amy Metcalfe
- Department of Community Health Sciences, University of Calgary, Calgary, Alberta, Canada.,Department of Obstetrics and Gynecology, University of Calgary, Calgary, Alberta, Canada.,Department of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Alberto Nettel-Aguirre
- Center For Health and Social Analytics, National Institute for Applied Statistical Research, School of Mathematics and Statistics, University of Wollongong, Wollongong, New South Wales, Australia.,Department of Pediatrics, University of Calgary, Calgary, Alberta, Canada
| | - Suzanne C Tough
- Department of Community Health Sciences, University of Calgary, Calgary, Alberta, Canada.,Department of Pediatrics, University of Calgary, Calgary, Alberta, Canada
| | - Kathleen H Chaput
- Department of Community Health Sciences, University of Calgary, Calgary, Alberta, Canada.,Department of Obstetrics and Gynecology, University of Calgary, Calgary, Alberta, Canada
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Scime NV, Metcalfe A, Nettel-Aguirre A, Nerenberg K, Seow CH, Tough SC, Chaput KH. Breastfeeding difficulties in the first 6 weeks postpartum among mothers with chronic conditions: a latent class analysis. BMC Pregnancy Childbirth 2023; 23:90. [PMID: 36732799 PMCID: PMC9893695 DOI: 10.1186/s12884-023-05407-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2022] [Accepted: 01/25/2023] [Indexed: 02/04/2023] Open
Abstract
BACKGROUND Breastfeeding difficulties frequently exacerbate one another and are common reasons for curtailed breastfeeding. Women with chronic conditions are at high risk of early breastfeeding cessation, yet limited evidence exists on the breastfeeding difficulties that co-occur in these mothers. The objective of this study was to explore clusters of breastfeeding difficulties experienced up to 6 weeks postpartum among mothers with chronic conditions and to examine associations between chronic condition types and breastfeeding difficulty clusters. METHODS We analyzed 348 mothers with chronic conditions enrolled in a prospective, community-based pregnancy cohort study from Alberta, Canada. Data were collected through self-report questionnaires. We used latent class analysis to identify clusters of early breastfeeding difficulties and multinomial logistic regression to examine whether types of chronic conditions were associated with these clusters, adjusting for maternal and obstetric factors. RESULTS We identified three clusters of breastfeeding difficulties. The "physiologically expected" cluster (51.1% of women) was characterized by leaking breasts and engorgement (reference outcome group); the "low milk production" cluster (15.4%) was discerned by low milk supply and infant weight concerns; and the "ineffective latch" cluster (33.5%) involved latch problems, sore nipples, and difficulty with positioning. Endocrine (adjusted relative risk ratio [RRR] 2.34, 95% CI 1.10-5.00), cardiovascular (adjusted RRR 2.75, 95% CI 1.01-7.81), and gastrointestinal (adjusted RRR 2.51, 95% CI 1.11-5.69) conditions were associated with the low milk production cluster, and gastrointestinal (adjusted RRR 2.44, 95% CI 1.25-4.77) conditions were additionally associated with the ineffective latch cluster. CONCLUSION Half of women with chronic conditions experienced clusters of breastfeeding difficulties corresponding either to low milk production or to ineffective latch in the first 6 weeks postpartum. Associations with chronic condition types suggest that connections between lactation physiology and disease pathophysiology should be considered when providing breastfeeding support.
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Affiliation(s)
- Natalie V. Scime
- grid.22072.350000 0004 1936 7697Department of Community Health Sciences, University of Calgary, Calgary, AB Canada
| | - Amy Metcalfe
- grid.22072.350000 0004 1936 7697Department of Community Health Sciences, University of Calgary, Calgary, AB Canada ,grid.22072.350000 0004 1936 7697Department of Obstetrics and Gynecology, University of Calgary, Calgary, AB Canada ,grid.22072.350000 0004 1936 7697Department of Medicine, University of Calgary, Calgary, AB Canada
| | - Alberto Nettel-Aguirre
- grid.1007.60000 0004 0486 528XCentre For Health and Social Analytics, School of Mathematics and Statistics, National Institute for Applied Statistical Research, University of Wollongong, Wollongong, NSW Australia ,grid.22072.350000 0004 1936 7697Department of Pediatrics, University of Calgary, Calgary, AB Canada
| | - Kara Nerenberg
- grid.22072.350000 0004 1936 7697Department of Community Health Sciences, University of Calgary, Calgary, AB Canada ,grid.22072.350000 0004 1936 7697Department of Obstetrics and Gynecology, University of Calgary, Calgary, AB Canada ,grid.22072.350000 0004 1936 7697Division of General Internal Medicine, Department of Medicine, University of Calgary, Calgary, AB Canada
| | - Cynthia H. Seow
- grid.22072.350000 0004 1936 7697Department of Community Health Sciences, University of Calgary, Calgary, AB Canada ,grid.22072.350000 0004 1936 7697Division of Gastroenterology & Hepatology, Department of Medicine, University of Calgary, Calgary, AB Canada
| | - Suzanne C. Tough
- grid.22072.350000 0004 1936 7697Department of Community Health Sciences, University of Calgary, Calgary, AB Canada ,grid.22072.350000 0004 1936 7697Department of Pediatrics, University of Calgary, Calgary, AB Canada
| | - Kathleen H. Chaput
- grid.22072.350000 0004 1936 7697Department of Community Health Sciences, University of Calgary, Calgary, AB Canada ,grid.22072.350000 0004 1936 7697Department of Obstetrics and Gynecology, University of Calgary, Calgary, AB Canada
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10
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Fenton TR, Elmrayed S, Scime NV, Tough SC, Pinto J, Sabet F, Wollny K, Lee Y, Harrison TG, Alladin-Karan B, Kramer MS, Ospina MB, Lorenzetti DL, Madubueze A, Leung AA, Kumar M. Small for date preterm infants and risk of higher blood pressure in later life: A systematic review and meta-analysis. Paediatr Perinat Epidemiol 2023. [PMID: 36688258 DOI: 10.1111/ppe.12955] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/24/2022] [Revised: 01/05/2023] [Accepted: 01/08/2023] [Indexed: 01/24/2023]
Abstract
BACKGROUND Historical reports suggest that infants born small for gestational age (SGA) are at increased risk for high blood pressure (BP) at older ages after adjustment for later age body size. Such adjustment may be inappropriate since adiposity is a known cause of cardiovascular and metabolic disease. OBJECTIVES To assess the association between SGA births and later BP among preterm births, considering potential background confounders and over-adjustment for later body size. METHODS A database search of studies up to October 2022 included MEDLINE, EMBASE and CINAHL. Studies were included if they reported BP (systolic [SBP] or diastolic [DBP]) (outcomes) for participants born preterm with SGA (exposure) or non-SGA births. All screening, extraction steps, and risk of bias (using the Risk of Bias In Non-randomised Studies of Interventions [ROBINS-I] tool) were conducted in duplicate by two reviewers. Data were pooled in meta-analysis using random-effects models. We explored potential sources of heterogeneity. RESULTS We found no meaningful difference in later BP between preterm infants with and without SGA status at birth. Meta-analysis of 25 studies showed that preterm SGA, compared to preterm non-SGA, was not associated with higher BP at age 2 and older with mean differences for SBP 0.01 mmHg (95% CI -0.10, 0.12, I2 = 59.8%, n = 20,462) and DBP 0.01 mm Hg (95% CI -0.10, 0.12), 22 studies, (I2 = 53.0%, n = 20,182). Adjustment for current weight did not alter the results, which could be due to the lack of differences in later weight status in most of the included studies. The included studies were rated to be at risk of bias due to potential residual confounding, with a low risk of bias in other domains. CONCLUSIONS Evidence indicates that preterm infants born SGA are not at increased risk of developing higher BP as children or as adults as compared to non-SGA preterm infants.
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Affiliation(s)
- Tanis R Fenton
- Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.,Alberta Children's Hospital Research Institute, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.,O'Brien Institute for Public Health, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Seham Elmrayed
- Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.,Alberta Children's Hospital Research Institute, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.,Global Health and Human Ecology Institute, American University in Cairo, Cairo, Egypt
| | - Natalie V Scime
- Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Suzanne C Tough
- Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.,Alberta Children's Hospital Research Institute, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.,O'Brien Institute for Public Health, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Jahaira Pinto
- Virginia Mason Franciscan Health, Seattle, Washington, USA
| | - Fatemeh Sabet
- Interior Health Authority, Kelowna, British Columbia, Canada
| | - Krista Wollny
- Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.,Alberta Children's Hospital Research Institute, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.,Faculty of Nursing, University of Calgary, Calgary, Alberta, Canada
| | - Yoonshin Lee
- Senior Persons Living Connected, Hong Fook Mental Health Association, Toronto, Ontario, Canada
| | - Tyrone G Harrison
- Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.,Department of Medicine, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Bibi Alladin-Karan
- Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.,Alberta Children's Hospital Research Institute, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Michael S Kramer
- Departments of Pediatrics and of Epidemiology and Biostatistics, McGill University Faculty of Medicine, Montreal, Quebec, Canada
| | - Maria B Ospina
- Department of Public Health Sciences, Faculty of Health Sciences, Queen's University, Kingston, Ontario, Canada
| | - Diane L Lorenzetti
- Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.,Health Sciences Library and Department of Community Health Sciences, University of Calgary, Calgary, Alberta, Canada
| | - Ada Madubueze
- Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Alexander A Leung
- Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.,Alberta Children's Hospital Research Institute, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.,Department of Medicine, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Manoj Kumar
- Department of Pediatrics, University of Alberta, Edmonton, Alberta, Canada
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11
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Vinther JL, Cadman T, Avraam D, Ekstrøm CT, I. A. Sørensen T, Elhakeem A, Santos AC, Pinot de Moira A, Heude B, Iñiguez C, Pizzi C, Simons E, Voerman E, Corpeleijn E, Zariouh F, Santorelli G, Inskip HM, Barros H, Carson J, Harris JR, Nader JL, Ronkainen J, Strandberg-Larsen K, Santa-Marina L, Calas L, Cederkvist L, Popovic M, Charles MA, Welten M, Vrijheid M, Azad M, Subbarao P, Burton P, Mandhane PJ, Huang RC, Wilson RC, Haakma S, Fernández-Barrés S, Turvey S, Santos S, Tough SC, Sebert S, Moraes TJ, Salika T, Jaddoe VWV, Lawlor DA, Nybo Andersen AM. Gestational age at birth and body size from infancy through adolescence: An individual participant data meta-analysis on 253,810 singletons in 16 birth cohort studies. PLoS Med 2023; 20:e1004036. [PMID: 36701266 PMCID: PMC9879424 DOI: 10.1371/journal.pmed.1004036] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/17/2022] [Accepted: 12/19/2022] [Indexed: 01/27/2023] Open
Abstract
BACKGROUND Preterm birth is the leading cause of perinatal morbidity and mortality and is associated with adverse developmental and long-term health outcomes, including several cardiometabolic risk factors and outcomes. However, evidence about the association of preterm birth with later body size derives mainly from studies using birth weight as a proxy of prematurity rather than an actual length of gestation. We investigated the association of gestational age (GA) at birth with body size from infancy through adolescence. METHODS AND FINDINGS We conducted a two-stage individual participant data (IPD) meta-analysis using data from 253,810 mother-child dyads from 16 general population-based cohort studies in Europe (Denmark, Finland, France, Italy, Norway, Portugal, Spain, the Netherlands, United Kingdom), North America (Canada), and Australasia (Australia) to estimate the association of GA with body mass index (BMI) and overweight (including obesity) adjusted for the following maternal characteristics as potential confounders: education, height, prepregnancy BMI, ethnic background, parity, smoking during pregnancy, age at child's birth, gestational diabetes and hypertension, and preeclampsia. Pregnancy and birth cohort studies from the LifeCycle and the EUCAN-Connect projects were invited and were eligible for inclusion if they had information on GA and minimum one measurement of BMI between infancy and adolescence. Using a federated analytical tool (DataSHIELD), we fitted linear and logistic regression models in each cohort separately with a complete-case approach and combined the regression estimates and standard errors through random-effects study-level meta-analysis providing an overall effect estimate at early infancy (>0.0 to 0.5 years), late infancy (>0.5 to 2.0 years), early childhood (>2.0 to 5.0 years), mid-childhood (>5.0 to 9.0 years), late childhood (>9.0 to 14.0 years), and adolescence (>14.0 to 19.0 years). GA was positively associated with BMI in the first decade of life, with the greatest increase in mean BMI z-score during early infancy (0.02, 95% confidence interval (CI): 0.00; 0.05, p < 0.05) per week of increase in GA, while in adolescence, preterm individuals reached similar levels of BMI (0.00, 95% CI: -0.01; 0.01, p 0.9) as term counterparts. The association between GA and overweight revealed a similar pattern of association with an increase in odds ratio (OR) of overweight from late infancy through mid-childhood (OR 1.01 to 1.02) per week increase in GA. By adolescence, however, GA was slightly negatively associated with the risk of overweight (OR 0.98 [95% CI: 0.97; 1.00], p 0.1) per week of increase in GA. Although based on only four cohorts (n = 32,089) that reached the age of adolescence, data suggest that individuals born very preterm may be at increased odds of overweight (OR 1.46 [95% CI: 1.03; 2.08], p < 0.05) compared with term counterparts. Findings were consistent across cohorts and sensitivity analyses despite considerable heterogeneity in cohort characteristics. However, residual confounding may be a limitation in this study, while findings may be less generalisable to settings in low- and middle-income countries. CONCLUSIONS This study based on data from infancy through adolescence from 16 cohort studies found that GA may be important for body size in infancy, but the strength of association attenuates consistently with age. By adolescence, preterm individuals have on average a similar mean BMI to peers born at term.
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Affiliation(s)
- Johan L. Vinther
- Section of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
- * E-mail:
| | - Tim Cadman
- Population Health Science, Bristol Medical School, Bristol, United Kingdom
| | - Demetris Avraam
- Population Health Sciences Institute, Newcastle University, Newcastle, United Kingdom
| | - Claus T. Ekstrøm
- Section of Biostatistics, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Thorkild I. A. Sørensen
- Section of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Ahmed Elhakeem
- Population Health Science, Bristol Medical School, Bristol, United Kingdom
| | - Ana C. Santos
- EPIUnit–Instituto de Saúde Pública, Universidade do Porto, Porto, Portugal
- Departamento de Ciências da Saúde Pública e Forenses e Educação Médica, Faculdade de Medicina, Universidade do Porto, Porto, Portugal
| | - Angela Pinot de Moira
- Section of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Barbara Heude
- Université Paris Cité and Université Sorbonne Paris Nord, Inserm, INRAE, Center for Research in Epidemiology and StatisticS (CRESS), Paris, France
| | - Carmen Iñiguez
- Department of Statistics and Operational Research, Universitat de València, València, Spain
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Madrid, Spain
- FISABIO—Universitat Jaume I—Universitat de València Epidemiology and Environmental Health Joint Research Unit, València, Spain
| | - Costanza Pizzi
- Cancer Epidemiology Unit, Department of Medical Sciences, University of Turin, Turin, Italy
| | - Elinor Simons
- Section of Allergy and Immunology, Department of Pediatrics and Child Health, University of Manitoba, Winnipeg, Canada
- The Children’s Hospital Research Institute of Manitoba (CHRIM), Winnipeg, Canada
| | - Ellis Voerman
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
- Department of Pediatrics, Erasmus MC–Sophia Children’s Hospital, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Eva Corpeleijn
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Faryal Zariouh
- Ined, Inserm, EFS, joint unit Elfe, Aubervilliers Cedex, France
| | - Gilian Santorelli
- Born In Bradford, Bradford Institute for Health Research, Bradford, United Kingdom
| | - Hazel M. Inskip
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton General Hospital, Southampton, United Kingdom
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, United Kingdom
| | - Henrique Barros
- EPIUnit–Instituto de Saúde Pública, Universidade do Porto, Porto, Portugal
- Departamento de Ciências da Saúde Pública e Forenses e Educação Médica, Faculdade de Medicina, Universidade do Porto, Porto, Portugal
| | - Jennie Carson
- Telethon Kids Institute, Perth, Australia
- University of Western Australia, School of Population and Global Health, Perth, Australia
| | - Jennifer R. Harris
- Center for Fertillity and Health, The Norwegian Institute of Public Health, Oslo, Norway
| | - Johanna L. Nader
- Department of Genetics and Bioinformatics, Division of Health Data and Digitalisation, Norwegian Institute of Public Health, Oslo, Norway
| | - Justiina Ronkainen
- Center for Life-course Health research, University of Oulu, Oulu, Finland
| | | | - Loreto Santa-Marina
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Biodonostia Health Research Institute, San Sebastian, Spain
- Health Department of Basque Government, Subdirectorate of Public Health of Gipuzkoa, San Sebastian, Spain
| | - Lucinda Calas
- Université Paris Cité and Université Sorbonne Paris Nord, Inserm, INRAE, Center for Research in Epidemiology and StatisticS (CRESS), Paris, France
| | - Luise Cederkvist
- Section of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Maja Popovic
- Cancer Epidemiology Unit, Department of Medical Sciences, University of Turin, Turin, Italy
| | | | - Marieke Welten
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
- Department of Pediatrics, Erasmus MC–Sophia Children’s Hospital, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Martine Vrijheid
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Madrid, Spain
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra, Barcelona, Spain
| | - Meghan Azad
- Section of Allergy and Immunology, Department of Pediatrics and Child Health, University of Manitoba, Winnipeg, Canada
- Developmental Origins of Chronic Diseases in Children Network (DEVOTION), Children’s Hospital, Winnipeg, Canada
- Department of Food and Human Nutritional Sciences, University of Manitoba, Winnipeg, Canada
| | - Padmaja Subbarao
- Translational Medicine Program, Department of Pediatrics, The Hospital for Sick Children, Toronto, Canada
- Department of Medicine, McMaster University, Hamilton, Canada
- Dalla Lana School of Public Health, University of Toronto, Toronto, Canada
| | - Paul Burton
- Population Health Sciences Institute, Newcastle University, Newcastle, United Kingdom
| | | | - Rae-Chi Huang
- Telethon Kids Institute, Perth, Australia
- Edith Cowan University, School of Medicine and Health Sciences, Joondalup, Australia
| | - Rebecca C. Wilson
- Institute of Population Health, University of Liverpool, Liverpool, United Kingdom
| | - Sido Haakma
- University of Groningen, University Medical Center Groningen, Genomics Coordination Center, Groningen, the Netherlands
| | - Sílvia Fernández-Barrés
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra, Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Stuart Turvey
- Department of Pediatrics, BC Children’s Hospital, University of British Columbia, Vancouver, Canada
| | - Susana Santos
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
- Department of Pediatrics, Erasmus MC–Sophia Children’s Hospital, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Suzanne C. Tough
- Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Canada
| | - Sylvain Sebert
- Center for Life-course Health research, University of Oulu, Oulu, Finland
| | - Theo J. Moraes
- Translational Medicine Program, Department of Pediatrics, The Hospital for Sick Children, Toronto, Canada
| | - Theodosia Salika
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, United Kingdom
| | - Vincent W. V. Jaddoe
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
- Department of Pediatrics, Erasmus MC–Sophia Children’s Hospital, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Deborah A. Lawlor
- Population Health Science, Bristol Medical School, Bristol, United Kingdom
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, United Kingdom
| | - Anne-Marie Nybo Andersen
- Section of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
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12
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Elhakeem A, Taylor AE, Inskip HM, Huang J, Tafflet M, Vinther JL, Asta F, Erkamp JS, Gagliardi L, Guerlich K, Halliday J, Harskamp-van Ginkel MW, He JR, Jaddoe VWV, Lewis S, Maher GM, Manios Y, Mansell T, McCarthy FP, McDonald SW, Medda E, Nisticò L, de Moira AP, Popovic M, Reiss IKM, Rodrigues C, Salika T, Smith A, Stazi MA, Walker C, Wu M, Åsvold BO, Barros H, Brescianini S, Burgner D, Chan JKY, Charles MA, Eriksson JG, Gaillard R, Grote V, Håberg SE, Heude B, Koletzko B, Morton S, Moschonis G, Murray D, O’Mahony D, Porta D, Qiu X, Richiardi L, Rusconi F, Saffery R, Tough SC, Vrijkotte TGM, Nelson SM, Nybo Andersen AM, Magnus MC, Lawlor DA. Association of Assisted Reproductive Technology With Offspring Growth and Adiposity From Infancy to Early Adulthood. JAMA Netw Open 2022; 5:e2222106. [PMID: 35881399 PMCID: PMC9327583 DOI: 10.1001/jamanetworkopen.2022.22106] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/10/2022] [Accepted: 05/13/2022] [Indexed: 11/14/2022] Open
Abstract
Importance People conceived using assisted reproductive technology (ART) make up an increasing proportion of the world's population. Objective To investigate the association of ART conception with offspring growth and adiposity from infancy to early adulthood in a large multicohort study. Design, Setting, and Participants This cohort study used a prespecified coordinated analysis across 26 European, Asia-Pacific, and North American population-based cohort studies that included people born between 1984 and 2018, with mean ages at assessment of growth and adiposity outcomes from 0.6 months to 27.4 years. Data were analyzed between November 2019 and February 2022. Exposures Conception by ART (mostly in vitro fertilization, intracytoplasmic sperm injection, and embryo transfer) vs natural conception (NC; without any medically assisted reproduction). Main Outcomes and Measures The main outcomes were length / height, weight, and body mass index (BMI; calculated as weight in kilograms divided by height in meters squared). Each cohort was analyzed separately with adjustment for maternal BMI, age, smoking, education, parity, and ethnicity and offspring sex and age. Results were combined in random effects meta-analysis for 13 age groups. Results Up to 158 066 offspring (4329 conceived by ART) were included in each age-group meta-analysis, with between 47.6% to 60.6% females in each cohort. Compared with offspring who were NC, offspring conceived via ART were shorter, lighter, and thinner from infancy to early adolescence, with differences largest at the youngest ages and attenuating with older child age. For example, adjusted mean differences in offspring weight were -0.27 (95% CI, -0.39 to -0.16) SD units at age younger than 3 months, -0.16 (95% CI, -0.22 to -0.09) SD units at age 17 to 23 months, -0.07 (95% CI, -0.10 to -0.04) SD units at age 6 to 9 years, and -0.02 (95% CI, -0.15 to 0.12) SD units at age 14 to 17 years. Smaller offspring size was limited to individuals conceived by fresh but not frozen embryo transfer compared with those who were NC (eg, difference in weight at age 4 to 5 years was -0.14 [95% CI, -0.20 to -0.07] SD units for fresh embryo transfer vs NC and 0.00 [95% CI, -0.15 to 0.15] SD units for frozen embryo transfer vs NC). More marked differences were seen for body fat measurements, and there was imprecise evidence that offspring conceived by ART developed greater adiposity by early adulthood (eg, ART vs NC difference in fat mass index at age older than 17 years: 0.23 [95% CI, -0.04 to 0.50] SD units). Conclusions and Relevance These findings suggest that people conceiving or conceived by ART can be reassured that differences in early growth and adiposity are small and no longer evident by late adolescence.
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Affiliation(s)
- Ahmed Elhakeem
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, United Kingdom
- Population Health Science, Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - Amy E. Taylor
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, United Kingdom
- Population Health Science, Bristol Medical School, University of Bristol, Bristol, United Kingdom
- National Institute for Health Research Bristol Biomedical Research Centre, Bristol, United Kingdom
| | - Hazel M. Inskip
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, United Kingdom
- National Institute for Health Research Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton National Health Service Foundation Trust, Southampton, United Kingdom
| | - Jonathan Huang
- Singapore Institute for Clinical Science, Agency for Science, Technology, and Research, Singapore
- Academic Clinical Program in Obstetrics and Gynaecology, Duke-NUS Medical School, Singapore
| | - Muriel Tafflet
- Université de Paris, National Institute for Health and Medical Research, National Research Institute for Agriculture, Food and Environment, Centre for Research in Epidemiology and Statistics, Paris, France
| | - Johan L. Vinther
- Section of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Federica Asta
- Department of Epidemiology, Lazio Regional Health Service, Rome, Italy
| | - Jan S. Erkamp
- The Generation R Study Group, Erasmus MC, University Medical Center, Rotterdam, the Netherlands
- Department of Paediatrics, Erasmus MC, University Medical Center, Rotterdam, the Netherlands
| | - Luigi Gagliardi
- Department of Mother and Child Health, Ospedale Versilia, Viareggio, Azienda Usl Toscana Nord Ovest, Pisa, Italy
| | - Kathrin Guerlich
- Division of Metabolic and Nutritional Medicine, Department of Pediatrics, Dr von Hauner Children’s Hospital, University Hospital, LMU Munich, Munich, Germany
| | - Jane Halliday
- Murdoch Children’s Research Institute, Parkville, Australia
- University of Melbourne, Parkville, Australia
| | - Margreet W. Harskamp-van Ginkel
- Amsterdam University Medical Centers, University of Amsterdam, Department of Public and Occupational Health, Amsterdam Public Health Research Institute, Amsterdam, the Netherlands
| | - Jian-Rong He
- Division of Birth Cohort Study, Guangzhou Women and Children’s Medical Center, Guangzhou Medical University, Guangzhou, China
| | - Vincent W. V. Jaddoe
- The Generation R Study Group, Erasmus MC, University Medical Center, Rotterdam, the Netherlands
- Department of Paediatrics, Erasmus MC, University Medical Center, Rotterdam, the Netherlands
| | - Sharon Lewis
- Murdoch Children’s Research Institute, Parkville, Australia
- University of Melbourne, Parkville, Australia
| | - Gillian M. Maher
- School of Public Health, University College Cork, Cork, Ireland
- The Irish Centre for Maternal and Child Health Research, University College Cork, Cork, Ireland
| | - Yannis Manios
- Department of Nutrition and Dietetics, School of Health Science and Education, Harokopio University, Athens, Greece
- Institute of Agri-Food and Life Sciences, Hellenic Mediterranean University Research Centre, Heraklion, Greece
| | - Toby Mansell
- Murdoch Children’s Research Institute, Parkville, Australia
- University of Melbourne, Parkville, Australia
| | - Fergus P. McCarthy
- The Irish Centre for Maternal and Child Health Research, University College Cork, Cork, Ireland
- Department of Obstetrics and Gynaecology, University College Cork, Cork, Ireland
| | - Sheila W. McDonald
- Department of Paediatrics, Cumming School of Medicine, University of Calgary, Calgary, Canada
- Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Canada
| | - Emanuela Medda
- Center for Behavioral Sciences and Mental Health, Istituto Superiore di Sanità, Rome, Italy
| | - Lorenza Nisticò
- Center for Behavioral Sciences and Mental Health, Istituto Superiore di Sanità, Rome, Italy
| | - Angela Pinot de Moira
- Section of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Maja Popovic
- Cancer Epidemiology Unit, Department of Medical Sciences, University of Turin, Reference Centre for Epidemiology and Cancer Prevention Piemonte, Turin, Italy
| | - Irwin K. M. Reiss
- Department of Paediatrics, Erasmus MC, University Medical Center, Rotterdam, the Netherlands
| | - Carina Rodrigues
- Epidemiology Research Unit, Instituto de Saúde Pública, Universidade do Porto, Porto, Portugal
- Laboratório para a Investigação Integrativa e Translacional em Saúde Populacional, Porto, Portugal
| | - Theodosia Salika
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, United Kingdom
| | - Ash Smith
- Centre for Longitudinal Research, He Ara ki Mua, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand
| | - Maria A. Stazi
- Center for Behavioral Sciences and Mental Health, Istituto Superiore di Sanità, Rome, Italy
| | - Caroline Walker
- Centre for Longitudinal Research, He Ara ki Mua, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand
| | - Muci Wu
- Department of Paediatrics, Cumming School of Medicine, University of Calgary, Calgary, Canada
| | - Bjørn O. Åsvold
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway
- HUNT Research Centre, Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Levanger, Norway
- Department of Endocrinology, Clinic of Medicine, St. Olav’s Hospital, Trondheim University Hospital, Trondheim, Norway
| | - Henrique Barros
- Epidemiology Research Unit, Instituto de Saúde Pública, Universidade do Porto, Porto, Portugal
- Laboratório para a Investigação Integrativa e Translacional em Saúde Populacional, Porto, Portugal
| | - Sonia Brescianini
- Center for Behavioral Sciences and Mental Health, Istituto Superiore di Sanità, Rome, Italy
| | - David Burgner
- Murdoch Children’s Research Institute, Parkville, Australia
- Department of Paediatrics, University of Melbourne, Parkville, Australia
- Department of Paediatrics, Monash University, Clayton, Australia
| | - Jerry K. Y. Chan
- Academic Clinical Program in Obstetrics and Gynaecology, Duke-NUS Medical School, Singapore
- Department of Reproductive Medicine, KK Women’s and Children’s Hospital, Singapore
| | - Marie-Aline Charles
- Université de Paris, National Institute for Health and Medical Research, National Research Institute for Agriculture, Food and Environment, Centre for Research in Epidemiology and Statistics, Paris, France
- National Institute for Demographic Studies, National Institute for Health and Medical Research, National Blood Service Joint Unit Elfe, Paris, France
| | - Johan G. Eriksson
- Singapore Institute for Clinical Science, Agency for Science, Technology, and Research, Singapore
- Department of Obstetrics and Gynaecology and Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Department of General Practice and Primary Health Care, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- Folkhälsan Research Center, Helsinki, Finland
| | - Romy Gaillard
- The Generation R Study Group, Erasmus MC, University Medical Center, Rotterdam, the Netherlands
- Department of Paediatrics, Erasmus MC, University Medical Center, Rotterdam, the Netherlands
| | - Veit Grote
- Division of Metabolic and Nutritional Medicine, Department of Pediatrics, Dr von Hauner Children’s Hospital, University Hospital, LMU Munich, Munich, Germany
| | - Siri E. Håberg
- Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Barbara Heude
- Université de Paris, National Institute for Health and Medical Research, National Research Institute for Agriculture, Food and Environment, Centre for Research in Epidemiology and Statistics, Paris, France
| | - Berthold Koletzko
- Division of Metabolic and Nutritional Medicine, Department of Pediatrics, Dr von Hauner Children’s Hospital, University Hospital, LMU Munich, Munich, Germany
| | - Susan Morton
- Centre for Longitudinal Research, He Ara ki Mua, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand
| | - George Moschonis
- Department of Food, Nutrition and Dietetics, School of Allied Health, Human Services and Sport, La Trobe University, Melbourne, Australia
| | - Deirdre Murray
- The Irish Centre for Maternal and Child Health Research, University College Cork, Cork, Ireland
- Department of Pediatrics and Child Health, University College Cork, Cork, Ireland
| | - Desmond O’Mahony
- National Longitudinal Study of Children in Ireland, Economic and Social Research Institute, Dublin, Ireland
| | - Daniela Porta
- Department of Epidemiology, Lazio Regional Health Service, Rome, Italy
| | - Xiu Qiu
- Division of Birth Cohort Study, Guangzhou Women and Children’s Medical Center, Guangzhou Medical University, Guangzhou, China
| | - Lorenzo Richiardi
- Cancer Epidemiology Unit, Department of Medical Sciences, University of Turin, Reference Centre for Epidemiology and Cancer Prevention Piemonte, Turin, Italy
| | - Franca Rusconi
- Department of Mother and Child Health, Ospedale Versilia, Viareggio, Azienda Usl Toscana Nord Ovest, Pisa, Italy
| | - Richard Saffery
- Murdoch Children’s Research Institute, Parkville, Australia
- University of Melbourne, Parkville, Australia
| | - Suzanne C. Tough
- Department of Paediatrics, Cumming School of Medicine, University of Calgary, Calgary, Canada
- Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Canada
| | - Tanja G. M. Vrijkotte
- Amsterdam University Medical Centers, University of Amsterdam, Department of Public and Occupational Health, Amsterdam Public Health Research Institute, Amsterdam, the Netherlands
| | - Scott M. Nelson
- National Institute for Health Research Bristol Biomedical Research Centre, Bristol, United Kingdom
- School of Medicine, University of Glasgow, Glasgow, United Kingdom
| | - Anne-Marie Nybo Andersen
- Section of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Maria C. Magnus
- Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Deborah A. Lawlor
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, United Kingdom
- Population Health Science, Bristol Medical School, University of Bristol, Bristol, United Kingdom
- National Institute for Health Research Bristol Biomedical Research Centre, Bristol, United Kingdom
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13
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Scime NV, Hetherington E, Tomfohr-Madsen L, Nettel-Aguirre A, Chaput KH, Tough SC. Hypertensive disorders in pregnancy and child development at 36 months in the All Our Families prospective cohort study. PLoS One 2021; 16:e0260590. [PMID: 34852012 PMCID: PMC8635344 DOI: 10.1371/journal.pone.0260590] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2021] [Accepted: 11/14/2021] [Indexed: 12/15/2022] Open
Abstract
Hypertensive disorders in pregnancy (HDP) are associated with increased risk of offspring neurodevelopmental disorders, suggesting long-term adverse impacts on fetal brain development. However, the relationship between HDP and deficits in general child development is unclear. Our objective was to assess the association between HDP and motor and cognitive developmental delay in children at 36 months of age. We analyzed data from the All Our Families community-based cohort study (n = 1554). Diagnosis of HDP-gestational or chronic hypertension, preeclampsia, or eclampsia-was measured through medical records. Child development was measured by maternal-report on five domains of the Ages and Stages Questionnaire (ASQ-3). Standardized cut-off scores were used to operationalize binary variables for any delay, motor delay, and cognitive delay. We calculated adjusted risk ratios (aRRs) and 95% confidence intervals (CIs) using logistic regression, sequentially controlling for potential confounders followed by factors suspected to lie on the causal pathway. Overall, 8.0% of women had HDP and hypertension-exposed children had higher prevalence of delay than unexposed children. Hypertension-exposed children had elevated risk for developmental delay, but CIs crossed the null. The aRRs quantifying the fully adjusted effect of HDP on child development were 1.19 (95% CI 0.92, 1.53) for any delay, 1.18 (95% CI 0.86, 1.61) for motor delay, and 1.24 (95% CI 0.83, 1.85) for cognitive delay. We did not find a statistically significant association between HDP and developmental delay. Confidence intervals suggest that children exposed to HDP in utero have either similar or slightly elevated risk of any, motor, and cognitive delay at 36 months after controlling for maternal and obstetric characteristics. The observed direction of association aligns with evidence of biological mechanisms whereby hypertensive pathology can disrupt fetal neurodevelopment; however, more evidence is needed. Findings may have implications for early developmental monitoring and intervention following prenatal hypertension exposure.
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Affiliation(s)
- Natalie V. Scime
- Department of Community Health Sciences, University of Calgary, Calgary, Alberta, Canada
- * E-mail:
| | - Erin Hetherington
- Department of Obstetrics and Gynaecology, University of Calgary, Calgary, Alberta, Canada
| | - Lianne Tomfohr-Madsen
- Department of Psychology, University of Calgary, Calgary, Alberta, Canada
- Department of Pediatrics, University of Calgary, Calgary, Alberta, Canada
| | - Alberto Nettel-Aguirre
- Centre for Health and Social Analytics, NIASRA, School of Mathematics and Applied Statistics, University of Wollongong, Wollongong, New South Wales, Australia
| | - Kathleen H. Chaput
- Department of Community Health Sciences, University of Calgary, Calgary, Alberta, Canada
- Department of Obstetrics and Gynaecology, University of Calgary, Calgary, Alberta, Canada
| | - Suzanne C. Tough
- Department of Community Health Sciences, University of Calgary, Calgary, Alberta, Canada
- Department of Pediatrics, University of Calgary, Calgary, Alberta, Canada
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14
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Bhattarai A, Dimitropoulos G, Marriott B, Paget J, Bulloch AGM, Tough SC, Patten SB. Can the adverse childhood experiences (ACEs) checklist be utilized to predict emergency department visits among children and adolescents? BMC Med Res Methodol 2021; 21:195. [PMID: 34563122 PMCID: PMC8465692 DOI: 10.1186/s12874-021-01392-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2021] [Accepted: 09/04/2021] [Indexed: 11/29/2022] Open
Abstract
Background Extensive literature has shown an association of Adverse Childhood Experiences (ACEs) with adverse health outcomes; however, its ability to predict events or stratify risks is less known. Individuals with mental illness and ACE exposure have been shown to visit emergency departments (ED) more often than those in the general population. This study thus examined the ability of the ACEs checklist to predict ED visits within the subsequent year among children and adolescents presenting to mental health clinics with pre-existing mental health issues. Methods The study analyzed linked data (n = 6100) from two databases provided by Alberta Health Services (AHS). The Regional Access and Intake System (RAIS 2016–2018) database provided data on the predictors (ACE items, age, sex, residence, mental health program type, and primary diagnosis) regarding children and adolescents (aged 0–17 years) accessing addiction and mental health services within Calgary Zone, and the National Ambulatory Care Reporting System (NACRS 2016–2019) database provided data on ED visits. A 25% random sample of the data was reserved for validation purposes. Two Least Absolute Shrinkage and Selection Operator (LASSO) logistic regression models, each employing a different method to tune the shrinkage parameter lambda (namely cross-validated and adaptive) and performing 10-fold cross-validation for a set of 100 lambdas in each model were examined. Results The adaptive LASSO model had a slightly better fit in the validation dataset than the cross-validated model; however, it still demonstrated poor discrimination (AUC 0.60, sensitivity 37.8%, PPV 49.6%) and poor calibration (over-triaged in low-risk and under-triaged in high-risk subgroups). The model’s poor performance was evident from an out-of-sample deviance ratio of − 0.044. Conclusion The ACEs checklist did not perform well in predicting ED visits among children and adolescents with existing mental health concerns. The diverse causes of ED visits may have hindered accurate predictions, requiring more advanced statistical procedures. Future studies exploring other machine learning approaches and including a more extensive set of childhood adversities and other important predictors may produce better predictions. Furthermore, despite highly significant associations being observed, ACEs may not be deterministic in predicting health-related events at the individual level, such as general ED use. Supplementary Information The online version contains supplementary material available at 10.1186/s12874-021-01392-w.
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Affiliation(s)
- Asmita Bhattarai
- Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, 3280 Hospital Drive NW, Calgary, AB, T2N4Z6, Canada. .,Mathison Centre for Research & Education, University of Calgary, 3280 Hospital Drive NW, Calgary, AB, T2N4Z6, Canada.
| | - Gina Dimitropoulos
- Mathison Centre for Research & Education, University of Calgary, 3280 Hospital Drive NW, Calgary, AB, T2N4Z6, Canada.,Faculty of Social Work, University of Calgary, 2500 University Dr NW, Calgary, AB, T2N 1N4, Canada
| | - Brian Marriott
- Faculty of Social Work, University of Calgary, 2500 University Dr NW, Calgary, AB, T2N 1N4, Canada.,Addiction and Mental Health, Alberta Health Services- Calgary Zone, Calgary, AB, Canada
| | - Jaime Paget
- Addiction and Mental Health, Alberta Health Services- Calgary Zone, Calgary, AB, Canada
| | - Andrew G M Bulloch
- Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, 3280 Hospital Drive NW, Calgary, AB, T2N4Z6, Canada.,Mathison Centre for Research & Education, University of Calgary, 3280 Hospital Drive NW, Calgary, AB, T2N4Z6, Canada.,Department of Psychiatry, Cumming School of Medicine, University of Calgary, 2500 University Dr NW, Calgary, AB, T2N 1N4, Canada
| | - Suzanne C Tough
- Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, 3280 Hospital Drive NW, Calgary, AB, T2N4Z6, Canada.,Department of Pediatrics, Cumming School of Medicine, University of Calgary, 2500 University Dr NW, Calgary, AB, T2N 1N4, Canada
| | - Scott B Patten
- Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, 3280 Hospital Drive NW, Calgary, AB, T2N4Z6, Canada.,Mathison Centre for Research & Education, University of Calgary, 3280 Hospital Drive NW, Calgary, AB, T2N4Z6, Canada.,Department of Psychiatry, Cumming School of Medicine, University of Calgary, 2500 University Dr NW, Calgary, AB, T2N 1N4, Canada
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15
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Scime NV, Metcalfe A, Nettel-Aguirre A, Tough SC, Chaput KH. Association of prenatal medical risk with breastfeeding outcomes up to 12 months in the All Our Families community-based birth cohort. Int Breastfeed J 2021; 16:69. [PMID: 34526043 PMCID: PMC8442292 DOI: 10.1186/s13006-021-00413-0] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/26/2021] [Accepted: 08/23/2021] [Indexed: 11/25/2022] Open
Abstract
Background Prenatal medical risk describes physical health issues or biological factors that predate or arise during pregnancy which heighten the risk of adverse outcomes, and often warrant specialized obstetric care. The influence of the nature and magnitude of prenatal risk on breastfeeding outcomes remains poorly understood. The objective of this study was to determine the association between prenatal medical risk and breastfeeding initiation and duration up to 1 year postpartum. Methods We analysed a subset of data from the All Our Families longitudinal cohort (n = 2706) of women in Calgary, Canada who delivered a liveborn infant between 2008 and 2010. Data were collected from self-report questionnaires and medical records. Women with complete data on prenatal medical risk factors and breastfeeding outcomes were included in this analysis. Prenatal medical risk was operationalized as one integer score of risk severity and four binary risk types capturing pre-pregnancy characteristics, past obstetric problems, current obstetric problems, and substance use. Outcomes were breastfeeding initiation defined as the infant ever receiving breast milk, and duration operationalized as still breastfeeding at 4 months, at 12 months, and time to breastfeeding cessation in weeks. We used logistic regression and Cox regression with right censoring at 52 weeks or attrition to calculate odds ratios (OR) and hazard ratios (HR), respectively, adjusting for sociodemographic vulnerability, parity, mode of delivery, and gestational age. Results Prenatal medical risk severity and type were not significantly associated with breastfeeding initiation, with the exception of pre-pregnancy risk type (OR 0.45; 95% CI 0.26, 0.77). Risk severity was associated with lower odds of breastfeeding to 4 months (OR 0.94; 95% CI 0.90, 0.99), 12 months (OR 0.93; 95% CI 0.87, 0.98), and earlier breastfeeding cessation (HR 1.05; 95% CI 1.02, 1.08). Associations with shorter breastfeeding length across the first postpartum year were observed for pre-pregnancy, current obstetric, and substance use risk types, but not past obstetric problems. Conclusion Prenatal medical risk is associated with shortened duration of breastfeeding. Women with prenatal medical risk may benefit from the proactive arrangement of lactation support before and following delivery to promote continued breastfeeding. Supplementary Information The online version contains supplementary material available at 10.1186/s13006-021-00413-0.
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Affiliation(s)
- Natalie V Scime
- Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.
| | - Amy Metcalfe
- Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.,Department of Obstetrics & Gynecology, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Alberto Nettel-Aguirre
- Centre for Health and Social Analytics, National Institute for Applied Statistical Research, School of Mathematics and Statistics, University of Wollongong, Wollongong, NSW, Australia
| | - Suzanne C Tough
- Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.,Department of Pediatrics, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Kathleen H Chaput
- Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.,Department of Obstetrics & Gynecology, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
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16
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Letourneau N, McDonald S, MacKay LJ, Bell RC, Hetherington E, Deane AJ, Dewey D, Edwards S, Field CJ, Giesbrecht GF, Graham S, Lebel C, Leung B, Madigan S, McArthur BA, McMorris C, Racine N, Ross KM, Wu M, Tough SC. Cross-Sectional Study Protocol for the COVID-19 Impact Survey of Mothers and Their 7-11 Year Old Children in Alberta, Canada. Front Psychiatry 2021; 12:597759. [PMID: 34239455 PMCID: PMC8260076 DOI: 10.3389/fpsyt.2021.597759] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/21/2020] [Accepted: 05/14/2021] [Indexed: 11/13/2022] Open
Abstract
Objectives: Our aim is to understand the effect of the COVID-19 pandemic on families who have been followed longitudinally in two cohorts studied in Alberta, Canada. We will examine household infections during the COVID-19 pandemic, financial impact, domestic violence, substance use, child school and daily life and relationships in the home. We will identify risk and protective factors for maternal mental health outcomes using longitudinal data that can inform policy and government resource allocation in future disasters. Methods: Mothers who are currently participating in two longitudinal studies, Alberta Pregnancy Outcomes and Nutrition (APrON; N = 1,800) and All Our Families (AOF: N = 2,534) were eligible to participate. Mothers were invited to complete the baseline COVID-19 Impact Survey (20-30 min) within 4 months of March 15, 2020, which was when the province of Alberta, Canada, implemented school closures and physical-distancing measures to prevent the spread of COVID-19. Mothers were asked to report on their own, their child's and their family's functioning. Mothers were re-surveyed at 6 months after completion of the initial COVID-19 Impact Survey, and will be re-surveyed again at 12 months. Results: Responses from participants in both cohorts will be examined in harmonized analyses as well as separately. Descriptive, multivariable analysis will be undertaken to examine risk and resiliency over time and factors that predict mental health and well-being. Conclusions: This study will provide timely information on the impact of COVID-19 for Albertan families. It will identify risk and protective factors for mental health and well-being among contemporary urban families supported by a publicly funded health care system to inform allocation of resources to support those most vulnerable during a global pandemic.
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Affiliation(s)
- Nicole Letourneau
- Faculty of Nursing, University of Calgary, Calgary, AB, Canada
- Department of Paediatrics, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Owerko Centre at the Alberta Children's Hospital Research Institute, University of Calgary, Calgary, AB, Canada
- Department of Psychiatry, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Sheila McDonald
- Department of Paediatrics, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | | | - Rhonda C. Bell
- Faculty of Agricultural, Life and Environmental Science, University of Alberta, Edmonton, AB, Canada
| | - Erin Hetherington
- Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Andrea J. Deane
- Department of Paediatrics, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Owerko Centre at the Alberta Children's Hospital Research Institute, University of Calgary, Calgary, AB, Canada
| | - Deborah Dewey
- Department of Paediatrics, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Owerko Centre at the Alberta Children's Hospital Research Institute, University of Calgary, Calgary, AB, Canada
| | - Sarah Edwards
- Department of Radiology, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Catherine J. Field
- Faculty of Agricultural, Life and Environmental Science, University of Alberta, Edmonton, AB, Canada
| | - Gerald F. Giesbrecht
- Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Susan Graham
- Department of Psychology, Faculty of Arts, University of Calgary, Calgary, AB, Canada
| | - Catherine Lebel
- Department of Radiology, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Brenda Leung
- Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Public Health Program, Faculty Health Sciences, University of Lethbridge, Lethbridge, AB, Canada
| | - Sheri Madigan
- Department of Psychology, Faculty of Arts, University of Calgary, Calgary, AB, Canada
| | - Brae Anne McArthur
- Department of Psychology, Faculty of Arts, University of Calgary, Calgary, AB, Canada
| | - Carly McMorris
- Werklund School of Education, University of Calgary, Calgary, AB, Canada
| | - Nicole Racine
- Department of Psychology, Faculty of Arts, University of Calgary, Calgary, AB, Canada
| | - Kharah M. Ross
- Department of Psychology, Faculty of Arts, University of Calgary, Calgary, AB, Canada
- Psychology, Centre for Social Sciences, Athabasca University, Athabasca, AB, Canada
| | - Muci Wu
- Department of Paediatrics, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Suzanne C. Tough
- Department of Paediatrics, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
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17
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Morin-Lessard E, Hentges RF, Tough SC, Graham SA. Developmental Pathways Between Infant Gestures and Symbolic Actions, and Children's Communicative Skills at Age 5: Findings From the All Our Families Pregnancy Cohort. Child Dev 2021; 92:799-810. [PMID: 33835495 DOI: 10.1111/cdev.13567] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
Using data from the All Our Families study, a longitudinal study of 1992 mother-child dyads in Canada (47.7% female; 81.9% White), we examined the developmental pathways between infant gestures and symbolic actions and communicative skills at age 5. Communicative gestures at age 12 months (e.g., pointing, nodding head "yes"), obtained via parental report, predicted stronger general communicative skills at age 5 years. Moreover, greater use of symbolic actions (e.g., "feeding" a stuffed animal with a bottle) indirectly predicted increased communicative skills at age 5 via increased productive vocabulary at 24 months. These pathways support the hypothesis that children's communicative skills during the transition to kindergarten emerge from a chain of developmental abilities starting with gestures and symbolic actions during infancy.
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18
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Currie CL, Tough SC. Adverse childhood experiences are associated with illicit drug use among pregnant women with middle to high socioeconomic status: findings from the All Our Families Cohort. BMC Pregnancy Childbirth 2021; 21:133. [PMID: 33583407 PMCID: PMC7882074 DOI: 10.1186/s12884-021-03591-1] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2020] [Accepted: 01/26/2021] [Indexed: 11/10/2022] Open
Abstract
Background Adverse childhood experiences (ACEs) are associated with illicit drug use among pregnant women who are socioeconomically vulnerable. While it is assumed that the impact of ACEs on illicit drug use in pregnancy is reduced among women with higher socioeconomic status (SES), this assumption is not well tested in the literature. The objective of this study was to examine the impact of maternal ACEs on illicit drug use in a community-based sample of pregnant women with middle to high SES. Methods This study is a secondary analysis of a prospective cohort study that collected data from 1660 women during and after pregnancy in Calgary, Canada between 2008 and 2011 using mailed surveys. Illicit drug use in pregnancy was self-reported by women at 34–36 weeks gestation. An established scale examined maternal ACEs before 18 years. Logistic regression models and 95% confidence intervals tested associations between maternal ACE scores and illicit drug use in pregnancy. Results Overall, 3.1% of women in this predominantly married, well-educated, middle and upper middle income sample reported illicit drug use in pregnancy. Women with 2–3 ACEs had more than a two-fold increase, and women with 4 or more ACEs had almost a four-fold increase in illicit drug use in pregnancy, relative to women with 0–1 ACEs after adjustment for confounders. Exposure to child abuse was more consistently associated with illicit drug use in pregnancy than exposure to household dysfunction in childhood. Conclusions Maternal ACEs were common and associated with a moderate increase in the odds of illicit drug use in pregnancy among Canadian women with middle to high SES.
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Affiliation(s)
- Cheryl L Currie
- Faculty of Health Sciences, University of Lethbridge, M3083 Markin Hall, 4401 University Drive, Lethbridge, Alberta, T1K 3M4, Canada.
| | - Suzanne C Tough
- Cummings School of Medicine, University of Calgary, Calgary, Canada
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19
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Stephenson NL, Hornaday KK, Doktorchik CTA, Lyon AW, Tough SC, Slater DM. Quality assessment of RNA in long-term storage: The All Our Families biorepository. PLoS One 2020; 15:e0242404. [PMID: 33259520 PMCID: PMC7707483 DOI: 10.1371/journal.pone.0242404] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2019] [Accepted: 11/02/2020] [Indexed: 01/10/2023] Open
Abstract
Background The All Our Families (AOF) cohort study is a longitudinal population-based study which collected biological samples from 1948 pregnant women between May 2008 and December 2010. As the quality of samples can decline over time, the objective of the current study was to assess the association between storage time and RNA (ribonucleic acid) yield and purity, and confirm the quality of these samples after 7–10 years in long-term storage. Methods Maternal whole blood samples were previously collected by trained phlebotomists and stored in four separate PAXgene Blood RNA Tubes (PreAnalytiX) between 2008 and 2011. RNA was isolated in 2011 and 2018 using PAXgene Blood RNA Kits (PreAnalytiX) as per the manufacturer’s instruction. RNA purity (260/280), as well as RNA yield, were measured using a Nanodrop. The RNA integrity number (RIN) was also assessed from 5–25 and 111–130 months of storage using RNA 6000 Nano Kit and Agilent 2100 BioAnalyzer. Descriptive statistics, paired t-test, and response feature analysis using linear regression were used to assess the association between various predictor variables and quality of the RNA isolated. Results Overall, RNA purity and yield of the samples did not decline over time. RNA purity of samples isolated in 2011 (2.08, 95% CI: 2.08–2.09) were statistically lower (p<0.000) than samples isolated in 2018 (2.101, 95% CI: 2.097, 2.104), and there was no statistical difference between the 2011 (13.08 μg /tube, 95% CI: 12.27–13.89) and 2018 (12.64 μg /tube, 95% CI: 11.83–13.46) RNA yield (p = 0.2964). For every month of storage, the change in RNA purity is -0.01(260/280), and the change in RNA yield between 2011 and 2018 is -0.90 μ g / tube. The mean RIN was 8.49 (95% CI:8.44–8.54), and it ranged from 7.2 to 9.5. The rate of change in expected RIN per month of storage is 0.003 (95% CI 0.002–0.004), so while statistically significant, these results are not relevant. Conclusions RNA quality does not decrease over time, and the methods used to collect and store samples, within a population-based study are robust to inherent operational factors which may degrade sample quality over time.
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Affiliation(s)
- Nikki L. Stephenson
- Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
- * E-mail:
| | - Kylie K. Hornaday
- Department of Physiology and Pharmacology, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Chelsea T. A. Doktorchik
- Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Andrew W. Lyon
- Department of Pathology and Laboratory Medicine, Saskatchewan Health Authority, Saskatoon, Saskatchewan, Canada
| | - Suzanne C. Tough
- Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
- Department of Paediatrics, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Donna M. Slater
- Department of Physiology and Pharmacology, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
- Department of Obstetrics and Gynecology, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
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20
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Abstract
Background: The prevalence of chronic disease in pregnant women has consistently risen over the past two decades. Substantial evidence demonstrates that maternal chronic disease is associated with adverse medical outcomes like preterm birth, but less research has characterized postpartum outcomes such as infant feeding practices. It is recommended that infants be exclusively breastfed from birth to 6 months given the numerous health benefits it provides.Objective: To determine the association between maternal chronic disease and breastfeeding outcomes.Methods: We analyzed cross-sectional self-report data from the 2015/2016 Canadian Community Health Survey, restricted to women who gave birth within 2 years of data collection (n = 2100, rounded). The exposure was professionally diagnosed chronic physical disease (e.g. diabetes, arthritis, heart disease). The outcomes were breastfeeding non-initiation and early cessation of breastfeeding before 6 months. Multivariable logistic regression modeling was used to estimate adjusted odds ratios (AOR) with 95% confidence intervals (CIs). Estimates were bootstrapped and weighted to represent the national population.Results: Overall, 11.9% (95% CI 9.8-14.1) of women reported chronic disease, and were more likely to be single, be Canadian born, have low education, and be overweight/obese than women without chronic disease. The mean maternal age was approximately 30 years in both groups. Women with chronic disease had similar odds of breastfeeding non-initiation (AOR 0.96, 95% CI 0.54-1.71) and early cessation of any breastfeeding (AOR 1.40, 95% CI 0.82-2.40), but over twice the odds of early cessation of exclusive breastfeeding (AOR 2.48, 95% CI 1.49-4.12) compared to unaffected women.Conclusion: Mothers with chronic disease initiate and continue some form of breastfeeding to six months as often as their unaffected peers. However, they have substantially higher odds of ceasing exclusive breastfeeding before the recommended 6 months. Findings suggest a need to investigate the reasons for this disparity to ensure that appropriate breastfeeding support is available for women with chronic disease and their children.
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Affiliation(s)
- Natalie V Scime
- Department of Community Health Sciences, University of Calgary, Calgary, Canada
| | - Scott B Patten
- Department of Community Health Sciences, University of Calgary, Calgary, Canada.,Department of Psychiatry, University of Calgary, Calgary, Canada
| | - Suzanne C Tough
- Department of Community Health Sciences, University of Calgary, Calgary, Canada.,Department of Pediatrics, University of Calgary, Calgary, Canada
| | - Katie H Chaput
- Department of Community Health Sciences, University of Calgary, Calgary, Canada.,Department of Obstetrics and Gynecology, University of Calgary, Calgary, Canada
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21
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Scime NV, Chaput KH, Faris PD, Quan H, Tough SC, Metcalfe A. Pregnancy complications and risk of preterm birth according to maternal age: A population-based study of delivery hospitalizations in Alberta. Acta Obstet Gynecol Scand 2019; 99:459-468. [PMID: 31713841 DOI: 10.1111/aogs.13769] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2019] [Revised: 11/04/2019] [Accepted: 11/06/2019] [Indexed: 01/10/2023]
Abstract
INTRODUCTION Pregnancy-related medical complications are associated with a 2- to 5-fold increased risk of preterm birth (PTB), but the nature of this etiologic relation in context with maternal factors remains poorly understood. Previous studies have generally treated maternal age as a confounder but overlooked its potential as an effect modifier, whereby the magnitude of the effect of complications on PTB could differ significantly across age groups. We investigated whether advanced maternal age (≥35 years) modified the association between pregnancy complications and PTB, and compared population-attributable fractions of PTB from complications in women older vs younger than 35 years. MATERIAL AND METHODS We analyzed population-based, cross-sectional data from the Alberta Discharge Abstract Database for women aged 18-50 years with singleton live births in hospital between 2014 and 2017 (n = 152 246). Complications were preeclampsia, gestational diabetes, and placental disorders identified using diagnostic codes. Outcomes were spontaneous (sPTB) or iatrogenic (iPTB) PTB before 37 weeks of gestation. We estimated risk ratios and risk differences using modified Poisson and log binomial regression, respectively, adjusting for confounders (pregnancy history, comorbidities). Population-attributable fractions estimates were calculated from risk ratios. Age modification was tested using interaction terms and Z-tests. RESULTS Prevalence of advanced maternal age was 19.2%. Pregnancy complications and s/iPTB were more common among women aged ≥35 years. Age modified the risk of PTB from preeclampsia only, with risk differences of 9.9% (95% CI 7.2%-12.6%) in older women vs 6.1% (95% CI 4.8%-7.4%) in younger women (P-interaction = 0.012) for sPTB, and 29.5% (95% CI 26.0%-33.1%) vs 20.8% (95% CI 18.9%-22.6%, P-interaction <0.001) for iPTB. Population-attributable fractions of s/iPTB types for all complications were consistently 2%-5% larger in women aged ≥35 years, and significantly larger for preeclampsia (sPTB: 5.1% vs 2.7%, P = 0.002; iPTB: 18.8% vs 14.0%, P < 0.001) and placental disorders (sPTB: 12.5% vs 8.7%, P < 0.001; iPTB: 13.2% vs 8.9%, P < 0.001). CONCLUSIONS Of the pregnancy complications studied, advanced maternal age only modified the association between PTB and preeclampsia, such that older women with preeclampsia have a higher risk for s/iPTB than younger counterparts. Pregnancy complications contribute to a sizable proportion of PTBs in Alberta, especially among women aged ≥35 years. Findings may inform clinical risk assessment and population-level policy targeting PTB.
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Affiliation(s)
- Natalie V Scime
- Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Katie H Chaput
- Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.,Department of Obstetrics & Gynecology, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.,Department of Pediatrics, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Peter D Faris
- Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Hude Quan
- Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Suzanne C Tough
- Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.,Department of Pediatrics, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Amy Metcalfe
- Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.,Department of Obstetrics & Gynecology, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.,Department of Medicine, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
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22
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Santos S, Voerman E, Amiano P, Barros H, Beilin LJ, Bergström A, Charles MA, Chatzi L, Chevrier C, Chrousos GP, Corpeleijn E, Costa O, Costet N, Crozier S, Devereux G, Doyon M, Eggesbø M, Fantini MP, Farchi S, Forastiere F, Georgiu V, Godfrey KM, Gori D, Grote V, Hanke W, Hertz-Picciotto I, Heude B, Hivert MF, Hryhorczuk D, Huang RC, Inskip H, Karvonen AM, Kenny LC, Koletzko B, Küpers LK, Lagström H, Lehmann I, Magnus P, Majewska R, Mäkelä J, Manios Y, McAuliffe FM, McDonald SW, Mehegan J, Melén E, Mommers M, Morgen CS, Moschonis G, Murray D, Ní Chaoimh C, Nohr EA, Nybo Andersen AM, Oken E, Oostvogels A, Pac A, Papadopoulou E, Pekkanen J, Pizzi C, Polanska K, Porta D, Richiardi L, Rifas-Shiman SL, Roeleveld N, Ronfani L, Santos AC, Standl M, Stigum H, Stoltenberg C, Thiering E, Thijs C, Torrent M, Tough SC, Trnovec T, Turner S, van Gelder M, van Rossem L, von Berg A, Vrijheid M, Vrijkotte T, West J, Wijga AH, Wright J, Zvinchuk O, Sørensen T, Lawlor DA, Gaillard R, Jaddoe V. Impact of maternal body mass index and gestational weight gain on pregnancy complications: an individual participant data meta-analysis of European, North American and Australian cohorts. BJOG 2019; 126:984-995. [PMID: 30786138 DOI: 10.1111/1471-0528.15661] [Citation(s) in RCA: 207] [Impact Index Per Article: 41.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/06/2019] [Indexed: 01/06/2023]
Abstract
OBJECTIVE To assess the separate and combined associations of maternal pre-pregnancy body mass index (BMI) and gestational weight gain with the risks of pregnancy complications and their population impact. DESIGN Individual participant data meta-analysis of 39 cohorts. SETTING Europe, North America, and Oceania. POPULATION 265 270 births. METHODS Information on maternal pre-pregnancy BMI, gestational weight gain, and pregnancy complications was obtained. Multilevel binary logistic regression models were used. MAIN OUTCOME MEASURES Gestational hypertension, pre-eclampsia, gestational diabetes, preterm birth, small and large for gestational age at birth. RESULTS Higher maternal pre-pregnancy BMI and gestational weight gain were, across their full ranges, associated with higher risks of gestational hypertensive disorders, gestational diabetes, and large for gestational age at birth. Preterm birth risk was higher at lower and higher BMI and weight gain. Compared with normal weight mothers with medium gestational weight gain, obese mothers with high gestational weight gain had the highest risk of any pregnancy complication (odds ratio 2.51, 95% CI 2.31- 2.74). We estimated that 23.9% of any pregnancy complication was attributable to maternal overweight/obesity and 31.6% of large for gestational age infants was attributable to excessive gestational weight gain. CONCLUSIONS Maternal pre-pregnancy BMI and gestational weight gain are, across their full ranges, associated with risks of pregnancy complications. Obese mothers with high gestational weight gain are at the highest risk of pregnancy complications. Promoting a healthy pre-pregnancy BMI and gestational weight gain may reduce the burden of pregnancy complications and ultimately the risk of maternal and neonatal morbidity. TWEETABLE ABSTRACT Promoting a healthy body mass index and gestational weight gain might reduce the population burden of pregnancy complications.
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Affiliation(s)
- S Santos
- The Generation R Study Group, Erasmus MC, University Medical Center, Rotterdam, the Netherlands.,Department of Pediatrics, Erasmus MC, University Medical Center, Rotterdam, the Netherlands
| | - E Voerman
- The Generation R Study Group, Erasmus MC, University Medical Center, Rotterdam, the Netherlands.,Department of Pediatrics, Erasmus MC, University Medical Center, Rotterdam, the Netherlands
| | - P Amiano
- Public Health Division of Gipuzkoa, San Sebastián, Spain.,BioDonostia Research Institute, San Sebastián, Spain.,CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - H Barros
- EPIUnit - Instituto de Saúde Pública, Universidade do Porto, Porto, Portugal.,Department of Public Health and Forensic Sciences and Medical Education, Unit of Clinical Epidemiology, Predictive Medicine and Public Health, University of Porto Medical School, Porto, Portugal
| | - L J Beilin
- Medical School, Royal Perth Hospital Unit, The University of Western Australia, Perth, WA, Australia
| | - A Bergström
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.,Centre for Occupational and Environmental Medicine, Stockholm County Council, Stockholm, Sweden
| | - M-A Charles
- INSERM, UMR1153 Epidemiology and Biostatistics Sorbonne Paris Cité Center (CRESS), ORCHAD Team, Villejuif, France.,Paris Descartes University, Villejuif, France
| | - L Chatzi
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.,Faculty of Medicine, Department of Social Medicine, University of Crete, Heraklion, Greece.,Department of Genetics and Cell Biology, Maastricht University, Maastricht, the Netherlands
| | - C Chevrier
- Inserm UMR 1085, Irset - Research Institute for Environmental and Occupational Health, Rennes, France
| | - G P Chrousos
- First Department of Pediatrics, Athens University Medical School, 'Aghia Sophia' Children's Hospital, National and Kapodistrian University of Athens, Athens, Greece
| | - E Corpeleijn
- Department of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - O Costa
- Epidemiology and Environmental Health Joint Research Unit, FISABIO-Universitat Jaume I-Universitat de València, Valencia, Spain
| | - N Costet
- Inserm UMR 1085, Irset - Research Institute for Environmental and Occupational Health, Rennes, France
| | - S Crozier
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
| | - G Devereux
- Liverpool School of Tropical Medicine, Liverpool, UK
| | - M Doyon
- Centre de Recherche du Centre Hospitalier de l'Universite de Sherbrooke, Sherbrooke, QC, Canada
| | - M Eggesbø
- Department of Exposure and Environmental Epidemiology, Norwegian Institute of Public Health, Oslo, Norway
| | - M P Fantini
- The Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy
| | - S Farchi
- Department of Epidemiology, Lazio Regional Health Service, Rome, Italy
| | - F Forastiere
- Department of Epidemiology, Lazio Regional Health Service, Rome, Italy
| | - V Georgiu
- Faculty of Medicine, Department of Social Medicine, University of Crete, Heraklion, Greece
| | - K M Godfrey
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK.,NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - D Gori
- The Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy
| | - V Grote
- Division of Metabolic and Nutritional Medicine, Dr. von Hauner Children's Hospital, Ludwig-Maximilian-Universität Munich, Munich, Germany
| | - W Hanke
- Department of Environmental Epidemiology, Nofer Institute of Occupational Medicine, Lodz, Poland
| | - I Hertz-Picciotto
- Department of Public Health Sciences, School of Medicine, University of California Davis, Davis, CA, USA
| | - B Heude
- INSERM, UMR1153 Epidemiology and Biostatistics Sorbonne Paris Cité Center (CRESS), ORCHAD Team, Villejuif, France.,Paris Descartes University, Villejuif, France
| | - M-F Hivert
- Centre de Recherche du Centre Hospitalier de l'Universite de Sherbrooke, Sherbrooke, QC, Canada.,Department of Population Medicine, Harvard Medical School, Harvard Pilgrim Health Care Institute, Boston, MA, USA.,Diabetes Unit, Massachusetts General Hospital, Boston, MA, USA
| | - D Hryhorczuk
- Center for Global Health, University of Illinois College of Medicine, Chicago, IL, USA
| | - R-C Huang
- Telethon Kids Institute, The University of Western Australia, Perth, WA, Australia
| | - H Inskip
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK.,NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - A M Karvonen
- Department of Health Security, National Institute for Health and Welfare, Kuopio, Finland
| | - L C Kenny
- Irish Centre for Fetal and Neonatal Translational Research, Cork University Maternity Hospital, University College Cork, Cork, Ireland.,Department of Obstetrics and Gynaecology, Cork University Maternity Hospital, Cork, Ireland
| | - B Koletzko
- Division of Metabolic and Nutritional Medicine, Dr. von Hauner Children's Hospital, Ludwig-Maximilian-Universität Munich, Munich, Germany
| | - L K Küpers
- Department of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands.,MRC Integrative Epidemiology Unit, Oakfield House, Oakfield Grove, University of Bristol, Bristol, UK.,Population Health Science, Bristol Medical School, University of Bristol, Bristol, UK.,Division of Human Nutrition and Health, Wageningen University & Research, Wageningen, the Netherlands
| | - H Lagström
- Department of Public Health, University of Turku, Turku, Finland
| | - I Lehmann
- Department of Environmental Immunology/Core Facility Studies, Helmholtz Centre for Environmental Research - UFZ, Leipzig, Germany
| | - P Magnus
- Division of Health Data and Digitalization, Norwegian Institute of Public Health, Oslo, Norway
| | - R Majewska
- Department of Epidemiology, Chair of Epidemiology and Preventive Medicine, Jagiellonian University Medical College, Krakow, Poland
| | - J Mäkelä
- Turku Centre for Biotechnology, University of Turku and Abo Akademi University, Turku, Finland
| | - Y Manios
- Department of Nutrition and Dietetics, School of Health Science and Education, Harokopio University, Athens, Greece
| | - F M McAuliffe
- UCD Perinatal Research Centre, Obstetrics& Gynaecology, School of Medicine, National Maternity Hospital, University College Dublin, Dublin, Ireland
| | - S W McDonald
- Department of Pediatrics, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - J Mehegan
- UCD Perinatal Research Centre, School of Public Health and Physiotherapy and Sports Science, University College Dublin, Dublin, Ireland
| | - E Melén
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.,Sach's Children Hospital, Stockholm, Sweden
| | - M Mommers
- Department of Epidemiology, Care and Public Health Research Institute, Maastricht University, Maastricht, the Netherlands
| | - C S Morgen
- National Institute of Public Health, University of Southern Denmark, Copenhagen, Denmark.,Department of Public Health, Section of Epidemiology, University of Copenhagen, Copenhagen, Denmark
| | - G Moschonis
- Department of Rehabilitation, Nutrition and Sport, La Trobe University, Melbourne, Vic, Australia
| | - D Murray
- Irish Centre for Fetal and Neonatal Translational Research, Cork University Maternity Hospital, University College Cork, Cork, Ireland.,Paediatrics & Child Health, University College Cork, Cork, Ireland
| | - C Ní Chaoimh
- Irish Centre for Fetal and Neonatal Translational Research, Cork University Maternity Hospital, University College Cork, Cork, Ireland.,Cork Centre for Vitamin D and Nutrition Research, School of Food and Nutritional Sciences, University College Cork, Cork, Ireland
| | - E A Nohr
- Research Unit for Gynaecology and Obstetrics, Institute for Clinical Research, University of Southern Denmark, Odense, Denmark
| | - A-M Nybo Andersen
- Department of Public Health, Section of Epidemiology, University of Copenhagen, Copenhagen, Denmark
| | - E Oken
- Department of Population Medicine, Harvard Medical School, Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - Ajjm Oostvogels
- Department of Public Health, Amsterdam Public Health Research Institute, Academic Medical Center, Amsterdam, the Netherlands
| | - A Pac
- Department of Epidemiology, Chair of Epidemiology and Preventive Medicine, Jagiellonian University Medical College, Krakow, Poland
| | - E Papadopoulou
- Department of Environmental Exposures and Epidemiology, Domain of Infection Control and Environmental Health, Norwegian Institute of Public Health, Oslo, Norway
| | - J Pekkanen
- Department of Health Security, National Institute for Health and Welfare, Kuopio, Finland.,Department of Public Health, University of Helsinki, Helsinki, Finland
| | - C Pizzi
- Department of Medical Sciences, University of Turin, Turin, Italy
| | - K Polanska
- Department of Environmental Epidemiology, Nofer Institute of Occupational Medicine, Lodz, Poland
| | - D Porta
- Department of Epidemiology, Lazio Regional Health Service, Rome, Italy
| | - L Richiardi
- Department of Medical Sciences, University of Turin, Turin, Italy
| | - S L Rifas-Shiman
- Department of Population Medicine, Harvard Medical School, Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - N Roeleveld
- Department for Health Evidence, Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, the Netherlands
| | - L Ronfani
- Institute for Maternal and Child Health - IRCCS 'Burlo Garofolo', Trieste, Italy
| | - A C Santos
- EPIUnit - Instituto de Saúde Pública, Universidade do Porto, Porto, Portugal.,Department of Public Health and Forensic Sciences and Medical Education, Unit of Clinical Epidemiology, Predictive Medicine and Public Health, University of Porto Medical School, Porto, Portugal
| | - M Standl
- Institute of Epidemiology, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany
| | - H Stigum
- Department of Non-communicable Diseases, Norwegian Institute of Public Health, Oslo, Norway
| | - C Stoltenberg
- Norwegian Institute of Public Health, Oslo, Norway.,Department of Global Public Health and Primary Care, University of Bergen, Bergen, Norway
| | - E Thiering
- Institute of Epidemiology, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany.,Dr. von Hauner Children's Hospital, Ludwig-Maximilians-University Munich, Munich, Germany
| | - C Thijs
- Department of Epidemiology, Care and Public Health Research Institute, Maastricht University, Maastricht, the Netherlands
| | - M Torrent
- Ib-salut, Area de Salut de Menorca, Menorca, Spain
| | - S C Tough
- Department of Pediatrics, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.,Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - T Trnovec
- Department of Environmental Medicine, Slovak Medical University, Bratislava, Slovak Republic
| | - S Turner
- Child Health, Royal Aberdeen Children's Hospital, Aberdeen, UK
| | - Mmhj van Gelder
- Department for Health Evidence, Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, the Netherlands.,Radboud REshape Innovation Center, Radboud University Medical Center, Nijmegen, the Netherlands
| | - L van Rossem
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - A von Berg
- Department of Pediatrics, Research Institute, Marien-Hospital Wesel, Wesel, Germany
| | - M Vrijheid
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.,ISGlobal, Institute for Global Health, Barcelona, Spain.,Universitat Pompeu Fabra (UPF), Barcelona, Spain
| | - Tgm Vrijkotte
- Department of Public Health, Amsterdam Public Health Research Institute, Academic Medical Center, Amsterdam, the Netherlands
| | - J West
- Bradford Institute for Health Research, Bradford Royal Infirmary, Bradford, UK
| | - A H Wijga
- National Institute for Public Health and the Environment, Bilthoven, the Netherlands
| | - J Wright
- Bradford Institute for Health Research, Bradford Royal Infirmary, Bradford, UK
| | - O Zvinchuk
- Department of Medical and Social Problems of Family Health, Institute of Pediatrics, Obstetrics and Gynecology, Kyiv, Ukraine
| | - Tia Sørensen
- Department of Public Health, Section of Epidemiology, University of Copenhagen, Copenhagen, Denmark.,Section of Metabolic Genetics, Faculty of Health and Medical Sciences, The Novo Nordisk Foundation Center for Basic Metabolic Research, University of Copenhagen, Copenhagen, Denmark
| | - D A Lawlor
- MRC Integrative Epidemiology Unit, Oakfield House, Oakfield Grove, University of Bristol, Bristol, UK.,Population Health Science, Bristol Medical School, University of Bristol, Bristol, UK
| | - R Gaillard
- The Generation R Study Group, Erasmus MC, University Medical Center, Rotterdam, the Netherlands.,Department of Pediatrics, Erasmus MC, University Medical Center, Rotterdam, the Netherlands
| | - Vwv Jaddoe
- The Generation R Study Group, Erasmus MC, University Medical Center, Rotterdam, the Netherlands.,Department of Pediatrics, Erasmus MC, University Medical Center, Rotterdam, the Netherlands.,Department of Epidemiology, Erasmus MC, University Medical Center, Rotterdam, the Netherlands
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23
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Manhas KP, Cui X, Tough SC. The Experience of Establishing Data Sharing & Linkage Platforms for Administrative, Research and Community-Service Data. Int J Popul Data Sci 2019; 4:465. [PMID: 32935021 PMCID: PMC7299464 DOI: 10.23889/ijpds.v4i1.465] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
Introduction Innovative data platforms (e.g. biobanks, repositories) continually emerge to facilitate data sharing. Extant and emerging data platforms must navigate myriad tensions for successful data sharing and re-use. Two Alberta data platforms navigated such processes and factors regarding administrative, research and nonprofit data: the Child & Youth Data Laboratory (CYDL) and Secondary Analysis to Generate Evidence (SAGE). Objectives To clarify the social and policy factors that influenced CYDL and SAGE establishment and implementation, and the relationships, if any, between these factors and data type. Methods This paper involves a qualitative secondary analysis of two developmental evaluations on CYDL and SAGE establishment. Six-years post-implementation, the CYDL evaluation entailed document review; website user analysis; interviews (n=30); online stakeholder survey (n=260); and an environmental scan. One-year post implementation, the SAGE evaluation included 15 interviews and document review. We used thematic analysis and comparisons with the literature to identify key factors. Results Three (not mutually exclusive) categories of social and policy factors influenced the navigation towards CYDL and SAGE realization: trusting relationships; sustainability amidst readiness; and privacy within social context. For these platforms to be able to manage, link or share data, trust had to be fostered and maintained across multiple, dynamic and intersecting relationships between primary data producers, data subjects, secondary users and institutions. Platform sustainability required capacity building and innovation. Privacy and information sharing evolved culturally and correspondingly for these data platforms, which required constant flexibility and awareness. Conclusions This analysis calls for more empirical research on the value of data re-use or the detriment in not re-using data. While the culture of information sharing is progressing towards greater openness and capacity for data sharing and re-use, successful data platforms must advocate, facilitate and mobilize analysis and innovation using data re-use while being cognizant of social and policy influences.
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Affiliation(s)
- Kiran Pohar Manhas
- Alberta Health Services, Seventh Street Plaza, 14th Floor, North Tower, 10030-107 Street NW, Edmonton, Alberta T5J 3E4, Canada
| | - Xinjie Cui
- PolicyWise with Children & Families, 9925 109 St NW, Edmonton, AB T5K 2J8, Canada https://policywise.com/
| | - Suzanne C Tough
- University of Calgary, Departments of Paediatrics and Community Health Sciences, Faculty of Medicine, 2500 University Drive NW Calgary, AB, Canada T2N 1N4 https://www.ucalgary.ca/stough/about
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24
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Kingston D, Mughal MK, Arshad M, Kovalchuk I, Metz GAS, Wynne-Edwards K, King S, Jiang S, Postovit L, Wajid A, McDonald S, Slater DM, Tough SC, Aitchison K, Arnold P. Prediction and Understanding of Resilience in Albertan Families: Longitudinal Study of Disaster Responses (PURLS) - Protocol. Front Psychiatry 2019; 10:729. [PMID: 31736793 PMCID: PMC6834684 DOI: 10.3389/fpsyt.2019.00729] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/07/2019] [Accepted: 09/11/2019] [Indexed: 12/28/2022] Open
Abstract
Exposure to a natural disaster in childhood can have serious, long-lasting consequences, impacting physical and mental health, development, and learning. Although many children experience negative effects after a disaster, the majority do not, and what differentiates these groups is not well understood. Some of the factors that influence disaster-related outcomes in the midst of adversity include parents' mental health, the home environment, and socioeconomic status. Furthermore, genetics has also a role to play in how children respond to stressors. We had the opportunity to conduct a natural experiment of disaster recovery following the Alberta 2013 Flood. This paper presents the detailed protocol on prediction of resilience in Albertan families, and validation with cortisol data. In addition, data collection procedures, developing resiliency screening tools, candidate gene identification, genotyping, DNA methylation, and genomic analyses are described to achieve the research objectives. This study produced new knowledge by using pre- and post-disaster information on children's health and development, including children's genetics and responses to stress. This information has been identified as important to governments and other organizations invested in early child development. Our comprehensive research plan generates evidence that can be mobilized population-based approaches to improve child and family resiliency.
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Affiliation(s)
- Dawn Kingston
- Faculty of Nursing, University of Calgary, Calgary, AB, Canada
| | | | - Muhammad Arshad
- Faculty of Nursing, University of Calgary, Calgary, AB, Canada.,Mathison Centre for Mental Health Research and Education, Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Igor Kovalchuk
- Biological Sciences Department, University of Lethbridge, Lethbridge, AB, Canada
| | - Gerlinde A S Metz
- Department of Neuroscience, University of Lethbridge, Lethbridge, AB, Canada
| | - Katherine Wynne-Edwards
- Faculty of Veterinary Medicine & Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
| | - Suzanne King
- Department of Psychiatry, McGill University, Montreal, QC, Canada
| | - Shui Jiang
- Departments of Psychiatry and Medical Genetics, University of Alberta, Edmonton, AB, Canada
| | - Lynne Postovit
- Department of Oncology, University of Alberta, Edmonton, AB, Canada
| | - Abdul Wajid
- Faculty of Nursing, University of Calgary, Calgary, AB, Canada
| | - Sheila McDonald
- Child Development Centre, University of Calgary, Calgary, AB, Canada
| | - Donna M Slater
- Department of Physiology and Pharmacology, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.,Department of Obstetrics and Gynaecology, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Suzanne C Tough
- Child Development Centre, University of Calgary, Calgary, AB, Canada
| | - Katherine Aitchison
- Departments of Psychiatry and Medical Genetics, University of Alberta, Edmonton, AB, Canada
| | - Paul Arnold
- Mathison Centre for Mental Health Research and Education, Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
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25
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Manhas KP, Dodd SX, Page S, Letourneau N, Adair CE, Cui X, Tough SC. Sharing longitudinal, non-biological birth cohort data: a cross-sectional analysis of parent consent preferences. BMC Med Inform Decis Mak 2018; 18:97. [PMID: 30419910 PMCID: PMC6233367 DOI: 10.1186/s12911-018-0683-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2017] [Accepted: 10/19/2018] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Mandates abound to share publicly-funded research data for reuse, while data platforms continue to emerge to facilitate such reuse. Birth cohorts (BC) involve longitudinal designs, significant sample sizes and rich and deep datasets. Data sharing benefits include more analyses, greater research complexity, increased opportunities for collaboration, amplification of public contributions, and reduced respondent burdens. Sharing BC data involves significant challenges including consent, privacy, access policies, communication, and vulnerability of the child. Research on these issues is available for biological data, but these findings may not extend to BC data. We lack consensus on how best to approach these challenges in consent, privacy, communication and autonomy when sharing BC data. We require more stakeholder engagement to understand perspectives and generate consensus. METHODS Parents participating in longitudinal birth cohorts completed a web-based survey investigating consent preferences for sharing their, and their child's, non-biological research data. Results from a previous qualitative inquiry informed survey development, and cognitive interviewing methods (n = 9) were used to improve the question quality and comprehension. Recruitment was via personalized email, with email and phone reminders during the 14-day window for survey completion. RESULTS Three hundred and forty-six of 569 parents completed the survey in September 2014 (60.8%). Participants preferred consent processes for data sharing in future independent research that were less-active (i.e. no consent or opt-out). Parents' consent preferences are associated with their communication preferences. Twenty percent (20.2%) of parents generally agreed that their child should provide consent to continue participating in research at age 12, while 25.6% felt decision-making on sharing non-biological research data should begin at age 18. CONCLUSIONS These finding reflect the parenting population's preference for less project-specific permission when research data is non-biological and de-identified and when governance practices are highly detailed and rigourous. Parents recognize that children should become involved in consent for secondary data use, but there is variability regarding when and how involvement occurs. These findings emphasize governance processes and participant notification rather than project-specific consent for secondary use of de-identified, non-biological data. Ultimately, parents prefer general consent processes for sharing de-identified, non-biological research data with ultimate involvement of the child.
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Affiliation(s)
- Kiran Pohar Manhas
- Community Health Sciences, University of Calgary, Calgary, Canada
- University of Alberta, Edmonton, Canada
- Alberta Health Services, Calgary, Canada
| | | | - Stacey Page
- Community Health Sciences, University of Calgary, Calgary, Canada
- Conjoint Health Research Ethics Board, University of Calgary, Calgary, Canada
| | | | - Carol E. Adair
- Community Health Sciences, University of Calgary, Calgary, Canada
| | - Xinjie Cui
- PolicyWise for Children & Families, Edmonton, AB Canada
| | - Suzanne C. Tough
- PolicyWise for Children & Families, Calgary, Canada
- Pediatrics & Community Health Sciences, University of Calgary, Calgary, Canada
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26
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Santos S, Eekhout I, Voerman E, Gaillard R, Barros H, Charles MA, Chatzi L, Chevrier C, Chrousos GP, Corpeleijn E, Costet N, Crozier S, Doyon M, Eggesbø M, Fantini MP, Farchi S, Forastiere F, Gagliardi L, Georgiu V, Godfrey KM, Gori D, Grote V, Hanke W, Hertz-Picciotto I, Heude B, Hivert MF, Hryhorczuk D, Huang RC, Inskip H, Jusko TA, Karvonen AM, Koletzko B, Küpers LK, Lagström H, Lawlor DA, Lehmann I, Lopez-Espinosa MJ, Magnus P, Majewska R, Mäkelä J, Manios Y, McDonald SW, Mommers M, Morgen CS, Moschonis G, Murínová Ľ, Newnham J, Nohr EA, Andersen AMN, Oken E, Oostvogels AJJM, Pac A, Papadopoulou E, Pekkanen J, Pizzi C, Polanska K, Porta D, Richiardi L, Rifas-Shiman SL, Roeleveld N, Santa-Marina L, Santos AC, Smit HA, Sørensen TIA, Standl M, Stanislawski M, Stoltenberg C, Thiering E, Thijs C, Torrent M, Tough SC, Trnovec T, van Gelder MMHJ, van Rossem L, von Berg A, Vrijheid M, Vrijkotte TGM, Zvinchuk O, van Buuren S, Jaddoe VWV. Gestational weight gain charts for different body mass index groups for women in Europe, North America, and Oceania. BMC Med 2018; 16:201. [PMID: 30396358 PMCID: PMC6217770 DOI: 10.1186/s12916-018-1189-1] [Citation(s) in RCA: 73] [Impact Index Per Article: 12.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/24/2018] [Accepted: 10/10/2018] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND Gestational weight gain differs according to pre-pregnancy body mass index and is related to the risks of adverse maternal and child health outcomes. Gestational weight gain charts for women in different pre-pregnancy body mass index groups enable identification of women and offspring at risk for adverse health outcomes. We aimed to construct gestational weight gain reference charts for underweight, normal weight, overweight, and grades 1, 2 and 3 obese women and to compare these charts with those obtained in women with uncomplicated term pregnancies. METHODS We used individual participant data from 218,216 pregnant women participating in 33 cohorts from Europe, North America, and Oceania. Of these women, 9065 (4.2%), 148,697 (68.1%), 42,678 (19.6%), 13,084 (6.0%), 3597 (1.6%), and 1095 (0.5%) were underweight, normal weight, overweight, and grades 1, 2, and 3 obese women, respectively. A total of 138, 517 women from 26 cohorts had pregnancies with no hypertensive or diabetic disorders and with term deliveries of appropriate for gestational age at birth infants. Gestational weight gain charts for underweight, normal weight, overweight, and grade 1, 2, and 3 obese women were derived by the Box-Cox t method using the generalized additive model for location, scale, and shape. RESULTS We observed that gestational weight gain strongly differed per maternal pre-pregnancy body mass index group. The median (interquartile range) gestational weight gain at 40 weeks was 14.2 kg (11.4-17.4) for underweight women, 14.5 kg (11.5-17.7) for normal weight women, 13.9 kg (10.1-17.9) for overweight women, and 11.2 kg (7.0-15.7), 8.7 kg (4.3-13.4) and 6.3 kg (1.9-11.1) for grades 1, 2, and 3 obese women, respectively. The rate of weight gain was lower in the first half than in the second half of pregnancy. No differences in the patterns of weight gain were observed between cohorts or countries. Similar weight gain patterns were observed in mothers without pregnancy complications. CONCLUSIONS Gestational weight gain patterns are strongly related to pre-pregnancy body mass index. The derived charts can be used to assess gestational weight gain in etiological research and as a monitoring tool for weight gain during pregnancy in clinical practice.
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Affiliation(s)
- Susana Santos
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, PO Box 2040, 3000 CA, Rotterdam, the Netherlands.,Department of Pediatrics, Sophia Children's Hospital, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Iris Eekhout
- TNO Child Health, Leiden, the Netherlands.,Department of Epidemiology and Biostatistics, VU University Medical Center, Amsterdam, the Netherlands
| | - Ellis Voerman
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, PO Box 2040, 3000 CA, Rotterdam, the Netherlands.,Department of Pediatrics, Sophia Children's Hospital, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Romy Gaillard
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, PO Box 2040, 3000 CA, Rotterdam, the Netherlands.,Department of Pediatrics, Sophia Children's Hospital, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Henrique Barros
- EPIUnit-Instituto de Saúde Pública, Universidade do Porto, Rua das Taipas, n° 135, 4050-600, Porto, Portugal.,Department of Public Health and Forensic Sciences and Medical Education, Unit of Clinical Epidemiology, Predictive Medicine and Public Health, University of Porto Medical School, Porto, Portugal
| | - Marie-Aline Charles
- INSERM, UMR1153 Epidemiology and Biostatistics Sorbonne Paris Cité Center (CRESS), ORCHAD Team, Villejuif, France.,Paris Descartes University, Villejuif, France
| | - Leda Chatzi
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.,Department of Social Medicine, Faculty of Medicine, University of Crete, Heraklion, Greece.,Department of Genetics and Cell Biology, Maastricht University, Maastricht, the Netherlands
| | - Cécile Chevrier
- Inserm UMR 1085, Irset-Research Institute for Environmental and Occupational Health, F-35000, Rennes, France
| | - George P Chrousos
- First Department of Pediatrics, Athens University Medical School, Aghia Sophia Children's Hospital, National and Kapodistrian University of Athens, Athens, Greece
| | - Eva Corpeleijn
- Department of Epidemiology, University Medical Center Groningen, University of Groningen, P.O. Box 30.001, 9700 RG, Groningen, the Netherlands
| | - Nathalie Costet
- Inserm UMR 1085, Irset-Research Institute for Environmental and Occupational Health, F-35000, Rennes, France
| | - Sarah Crozier
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
| | - Myriam Doyon
- Centre de Recherche du Centre Hospitalier de l'Universite de Sherbrooke, Sherbrooke, QC, Canada
| | - Merete Eggesbø
- Department of Exposure and Environmental Epidemiology, Norwegian Institute of Public Health, Oslo, Norway
| | - Maria Pia Fantini
- The Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy
| | - Sara Farchi
- Department of Epidemiology, Lazio Regional Health Service, Rome, Italy
| | | | - Luigi Gagliardi
- Department of Woman and Child Health, Ospedale Versilia, Local Health Authority Toscana Nord Ovest, Viareggio, Italy
| | - Vagelis Georgiu
- Department of Social Medicine, Faculty of Medicine, University of Crete, Heraklion, Greece
| | - Keith M Godfrey
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK.,NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Davide Gori
- The Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy
| | - Veit Grote
- Division of Metabolic and Nutritional Medicine, Dr. von Hauner Children's Hospital, Ludwig-Maximilian-Universität Munich, 80337, Munich, Germany
| | - Wojciech Hanke
- Department of Environmental Epidemiology, Nofer Institute of Occupational Medicine, Lodz, Poland
| | - Irva Hertz-Picciotto
- Department of Public Health Sciences, School of Medicine, University of California Davis, Davis, CA, 95616, USA
| | - Barbara Heude
- INSERM, UMR1153 Epidemiology and Biostatistics Sorbonne Paris Cité Center (CRESS), ORCHAD Team, Villejuif, France.,Paris Descartes University, Villejuif, France
| | - Marie-France Hivert
- Centre de Recherche du Centre Hospitalier de l'Universite de Sherbrooke, Sherbrooke, QC, Canada.,Department of Population Medicine, Harvard Medical School, Harvard Pilgrim Health Care Institute, Boston, MA, USA.,Diabetes Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Daniel Hryhorczuk
- Center for Global Health, University of Illinois College of Medicine, Chicago, IL, USA
| | - Rae-Chi Huang
- Telethon Kids Institute, The University of Western Australia, Perth, WA, Australia
| | - Hazel Inskip
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK.,NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Todd A Jusko
- Departments of Public Health Sciences and Environmental Medicine, University of Rochester School of Medicine and Dentistry, Rochester, NY, USA
| | - Anne M Karvonen
- Department of Health Security, National Institute for Health and Welfare, Kuopio, Finland
| | - Berthold Koletzko
- Division of Metabolic and Nutritional Medicine, Dr. von Hauner Children's Hospital, Ludwig-Maximilian-Universität Munich, 80337, Munich, Germany
| | - Leanne K Küpers
- Department of Epidemiology, University Medical Center Groningen, University of Groningen, P.O. Box 30.001, 9700 RG, Groningen, the Netherlands.,MRC Integrative Epidemiology Unit, University of Bristol, Oakfield House, Oakfield Grove, Bristol, BS8 2BN, UK.,Population Health Science, Bristol Medical School, University of Bristol, Bristol, BS8 2BN, UK
| | - Hanna Lagström
- Department of Public Health, University of Turku, Turku, Finland
| | - Debbie A Lawlor
- MRC Integrative Epidemiology Unit, University of Bristol, Oakfield House, Oakfield Grove, Bristol, BS8 2BN, UK.,Population Health Science, Bristol Medical School, University of Bristol, Bristol, BS8 2BN, UK
| | - Irina Lehmann
- Department of Environmental Immunology/Core Facility Studies, Helmholtz Centre for Environmental Research-UFZ, Leipzig, Germany
| | - Maria-Jose Lopez-Espinosa
- Epidemiology and Environmental Health Joint Research Unit, FISABIO-Universitat Jaume I-Universitat de València, Valencia, Spain.,CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Per Magnus
- Division of Health Data and Digitalization, Norwegian Institute of Public Health, Oslo, Norway
| | - Renata Majewska
- Department of Epidemiology, Chair of Epidemiology and Preventive Medicine, Jagiellonian University Medical College, Krakow, Poland
| | - Johanna Mäkelä
- Turku Centre for Biotechnology, University of Turku and Abo Akademi University, Turku, Finland
| | - Yannis Manios
- Department of Nutrition and Dietetics, School of Health Science and Education, Harokopio University, Athens, Greece
| | - Sheila W McDonald
- Department of Pediatrics, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Monique Mommers
- Department of Epidemiology, Care and Public Health Research Institute, Maastricht University, Maastricht, the Netherlands
| | - Camilla S Morgen
- National Institute of Public Health, University of Southern Denmark, Copenhagen, Denmark.,Department of Public Health, Section of Epidemiology, University of Copenhagen, Øster Farimagsgade 5, 1014, Copenhagen, Denmark
| | - George Moschonis
- Department of Rehabilitation, Nutrition and Sport, La Trobe University, Melbourne, Australia
| | - Ľubica Murínová
- Department of Environmental Medicine, Faculty of Public Health, Slovak Medical University, Bratislava, Slovak Republic
| | - John Newnham
- School of Women's and Infants' Health, University of Western Australia, Crawley, Western Australia, Australia
| | - Ellen A Nohr
- Research Unit for Gynaecology and Obstetrics, Institute for Clinical Research, University of Southern Denmark, Odense, Denmark
| | - Anne-Marie Nybo Andersen
- Department of Public Health, Section of Epidemiology, University of Copenhagen, Øster Farimagsgade 5, 1014, Copenhagen, Denmark
| | - Emily Oken
- Department of Population Medicine, Harvard Medical School, Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - Adriëtte J J M Oostvogels
- Department of Public Health, Amsterdam Public Health Research Institute, Academic Medical Center, Amsterdam, the Netherlands
| | - Agnieszka Pac
- Department of Epidemiology, Chair of Epidemiology and Preventive Medicine, Jagiellonian University Medical College, Krakow, Poland
| | - Eleni Papadopoulou
- Department of Environmental Exposures and Epidemiology, Domain of Infection Control and Environmental Health, Norwegian Institute of Public Health, Lovisenberggata 8, 0477, Oslo, Norway
| | - Juha Pekkanen
- Department of Health Security, National Institute for Health and Welfare, Kuopio, Finland.,Department of Public Health, University of Helsinki, Helsinki, Finland
| | - Costanza Pizzi
- Department of Medical Sciences, University of Turin, Turin, Italy
| | - Kinga Polanska
- Department of Environmental Epidemiology, Nofer Institute of Occupational Medicine, Lodz, Poland
| | - Daniela Porta
- Department of Epidemiology, Lazio Regional Health Service, Rome, Italy
| | | | - Sheryl L Rifas-Shiman
- Department of Population Medicine, Harvard Medical School, Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - Nel Roeleveld
- Department for Health Evidence, Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Loreto Santa-Marina
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.,Subdirección de Salud Pública Gipuzkoa, San Sebastián, Spain.,Instituto de Investigación Sanitaria BIODONOSTIA, San Sebastián, Spain
| | - Ana C Santos
- EPIUnit-Instituto de Saúde Pública, Universidade do Porto, Rua das Taipas, n° 135, 4050-600, Porto, Portugal.,Department of Public Health and Forensic Sciences and Medical Education, Unit of Clinical Epidemiology, Predictive Medicine and Public Health, University of Porto Medical School, Porto, Portugal
| | - Henriette A Smit
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Thorkild I A Sørensen
- Department of Public Health, Section of Epidemiology, University of Copenhagen, Øster Farimagsgade 5, 1014, Copenhagen, Denmark.,The Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Marie Standl
- Institute of Epidemiology, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany
| | | | - Camilla Stoltenberg
- Norwegian Institute of Public Health, Oslo, Norway.,Department of Global Public Health and Primary Care, University of Bergen, Bergen, Norway
| | - Elisabeth Thiering
- Institute of Epidemiology, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany.,Dr. von Hauner Children's Hospital, Ludwig-Maximilians-University Munich, Munich, Germany
| | - Carel Thijs
- Department of Epidemiology, Care and Public Health Research Institute, Maastricht University, Maastricht, the Netherlands
| | | | - Suzanne C Tough
- Department of Pediatrics, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.,Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Tomas Trnovec
- Department of Environmental Medicine, Slovak Medical University, Bratislava, 833 03, Slovak Republic
| | - Marleen M H J van Gelder
- Department for Health Evidence, Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, the Netherlands.,Radboud REshape Innovation Center, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Lenie van Rossem
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Andrea von Berg
- Department of Pediatrics, Marien-Hospital Wesel, Research Institute, Wesel, Germany
| | - Martine Vrijheid
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.,ISGlobal, Institute for Global Health, Barcelona, Spain.,Universitat Pompeu Fabra (UPF), Barcelona, Spain
| | - Tanja G M Vrijkotte
- Department of Public Health, Amsterdam Public Health Research Institute, Academic Medical Center, Amsterdam, the Netherlands
| | - Oleksandr Zvinchuk
- Department of Medical and Social Problems of Family Health, Institute of Pediatrics, Obstetrics and Gynecology, Kyiv, Ukraine
| | - Stef van Buuren
- TNO Child Health, Leiden, the Netherlands.,Department of Methodology and Statistics, University of Utrecht, Utrecht, the Netherlands
| | - Vincent W V Jaddoe
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, PO Box 2040, 3000 CA, Rotterdam, the Netherlands. .,Department of Pediatrics, Sophia Children's Hospital, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands. .,Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands.
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27
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McDonald SW, Kehler HL, Tough SC. Risk factors for delayed social-emotional development and behavior problems at age two: Results from the All Our Babies/Families (AOB/F) cohort. Health Sci Rep 2018; 1:e82. [PMID: 30623038 PMCID: PMC6266514 DOI: 10.1002/hsr2.82] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2017] [Revised: 06/27/2018] [Accepted: 07/13/2018] [Indexed: 11/22/2022] Open
Abstract
BACKGROUND AND AIMS Social-emotional delays and behavioral problems at preschool age are associated with negative outcomes at school age, including ongoing behavior problems, poorer social functioning, and academic difficulties. Understanding modifiable risk factors for suboptimal development requires consideration of contemporary family circumstances to determine areas for effective early intervention to optimize development. This study aimed to identify risk factors for delayed social-emotional development and behavior problems at age two among participants of the All Our Babies/Families cohort study. METHODS Mothers (N = 1596) completed five comprehensive questionnaires spanning midpregnancy to 2 years postpartum. At child age two, behavior and competence outcomes were measured using the Brief Infant-Toddler Social and Emotional Assessment. Chi square analysis and multivariable logistic regression modeling was used to identify key risk factors for suboptimal child outcomes. Predicted probabilities for adverse outcomes in the presence of risk were calculated. RESULTS Risk factors for possible delayed social-emotional development in children included maternal depression at 2 years postpartum (OR 2.46, 95% CI 1.63, 3.72), lower parenting self-efficacy at 2 years postpartum (OR 2.76, 95% CI 1.51, 5.06), non-daily play-based interaction when child was 1 and 2 years old (OR 1.43, 95% CI 1.02, 1.99), child delayed sleep initiation at 2 years of age (OR 1.58, 95% CI 1.05, 2.37), and playgroup non-attendance between 1 and 2 years postpartum (OR 1.43, 95% CI 1.03, 1.99). Risk factors for possible behavior problems included lower maternal optimism during pregnancy (OR 2.02, 95% CI 1.36, 2.99), maternal depression at 2 years postpartum (OR 2.19, 95% CI 1.46, 3.27), difficulty balancing responsibilities at 2 years postpartum (OR 2.32 95% CI 1.55, 3.47), child second language exposure at 2 years of age (OR 1.88, 95% CI 1.37, 2.58), child delayed sleep initiation at 2 years of age (OR 1.55 95% CI 1.06, 2.26), child frequent night wakings at 2 years of age (OR 2.95 95% CI 2.13, 4.10), and more screentime exposure at 2 years of age (OR 1.85 95% CI 1.34, 2.54). CONCLUSIONS This study suggests that addressing maternal mental health and promoting parenting strategies that encourage play-based interaction, limiting screen time, preventing sleep problems, and engagement in informal playgroups would reduce the risk of behavior and social-emotional problems.
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Affiliation(s)
- Sheila W. McDonald
- Departments of Pediatrics and Community Health Sciences, Cumming School of MedicineUniversity of CalgaryCalgaryAlbertaCanada
| | | | - Suzanne C. Tough
- Departments of Pediatrics and Community Health Sciences, Cumming School of MedicineUniversity of CalgaryCalgaryAlbertaCanada
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28
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Hetherington E, McDonald S, Williamson T, Patten SB, Tough SC. Social support and maternal mental health at 4 months and 1 year postpartum: analysis from the All Our Families cohort. J Epidemiol Community Health 2018; 72:933-939. [PMID: 29921649 DOI: 10.1136/jech-2017-210274] [Citation(s) in RCA: 27] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2017] [Revised: 04/25/2018] [Accepted: 05/28/2018] [Indexed: 11/03/2022]
Abstract
BACKGROUND Low social support is consistently associated with postpartum depression. Previous studies do not always control for previous mental health and do not consider what type of support (tangible, emotional, informational or positive social interaction) is most important. The objectives are: to examine if low social support contributes to subsequent risk of depressive or anxiety symptoms and to determine which type of support is most important. METHODS Data from the All Our Families longitudinal pregnancy cohort were used (n=3057). Outcomes were depressive or anxiety symptoms at 4 months and 1 year postpartum. Exposures were social support during pregnancy and at 4 months postpartum. Log binomial models were used to calculate risk ratios (RRs) and absolute risk differences, controlling for past mental health. RESULTS Low total social support during pregnancy was associated with an increased risk of depressive symptoms (RR 1.50, 95% CI 1.24 to 1.82) and anxiety symptoms (RR 1.63, 95% CI 1.38 to 1.93) at 4 months postpartum. Low total social support at 4 months was associated with an increased risk of anxiety symptoms (RR 1.65, 95% CI 1.31 to 2.09) at 1 year. Absolute risk differences were largest among women with previous mental health challenges resulting in a number needed to treat of 5 for some outcomes. Emotional/informational support was the most important type of support for postpartum anxiety. CONCLUSION Group prenatal care, prenatal education and peer support programmes have the potential to improve social support. Prenatal interventions studies are needed to confirm these findings in higher risk groups.
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Affiliation(s)
- Erin Hetherington
- Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Sheila McDonald
- Departments of Pediatrics and Community Health Sciences, University of Calgary, Calgary, Alberta, Canada
| | - Tyler Williamson
- Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Scott B Patten
- Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Suzanne C Tough
- Departments of Pediatrics and Community Health Sciences, University of Calgary, Calgary, Alberta, Canada
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29
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Vinturache AE, Winn A, Tough SC. Recall of Prenatal Counselling Among Obese and Overweight Women from a Canadian Population: A Population Based Study. Matern Child Health J 2018; 21:2092-2101. [PMID: 28721648 DOI: 10.1007/s10995-017-2324-x] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Objective The objective of this study was to evaluate the recall of prenatal counselling received among overweight and obese women in primary care settings. Methods A sample of 1996 women with singleton, term deliveries and pre-pregnancy BMI >18.5 kg/m2 were identified from the All Our Babies pregnancy cohort. Information on socio-demographic characteristics and women's experiences with prenatal counselling on nutrition, vitamin and mineral supplements, exercise, weight gain, employment, alcohol and drug use, and smoking during pregnancy were collected through questionnaires administered at <25 weeks and 34-36 weeks gestation. Multivariable logistic regression analyses explored the associations between pre-pregnancy BMI and the domains of prenatal counselling, controlling for confounders. Results Women reported high levels of comfort asking questions and satisfaction with their health care provider. Women reported getting information about nutrition (69.3%), weight gain (67.8%), exercise (64.4%), vitamins and minerals supplementation (86.1%). Obese women (211, 10.6%) were more likely than normal weight women (1313, 65.8%) to be Caucasian (p = 0.004), less educated (p = 0.001), and to have been born or lived in Canada for at least 5 years (p = 0.01). There was no difference in the prenatal advice received on nutrition, weight gain and exercise in pregnancy between obese, overweight, and normal weight women. Conclusions for Practice Pre-pregnancy BMI did not appear to influence the recall of prenatal counselling women receive in community health care centers. Given the importance of nutrition and weight gain during pregnancy, and guidelines for weight gain based on pre-pregnancy BMI, there are missed opportunities in knowledge exchange between women and providers in the prenatal period.
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Affiliation(s)
- Angela E Vinturache
- Department of Paediatrics, Cumming School of Medicine, University of Calgary, 3330 Hospital Drive NW, Calgary, AB, T2N 4N1, Canada.
| | - Anika Winn
- Faculty of Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Canada
| | - Suzanne C Tough
- Department of Paediatrics, Cumming School of Medicine, University of Calgary, 3330 Hospital Drive NW, Calgary, AB, T2N 4N1, Canada.,Department of Community of Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Canada
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Racine NM, Madigan SL, Plamondon AR, McDonald SW, Tough SC. Differential Associations of Adverse Childhood Experience on Maternal Health. Am J Prev Med 2018; 54:368-375. [PMID: 29306559 DOI: 10.1016/j.amepre.2017.10.028] [Citation(s) in RCA: 46] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/17/2017] [Revised: 10/03/2017] [Accepted: 10/30/2017] [Indexed: 01/21/2023]
Abstract
INTRODUCTION The current study examined whether three distinct antecedent factors related to maternal adverse childhood experiences were differentially associated with maternal health and psychosocial outcomes in the antepartum period. It was hypothesized that all three adverse childhood experience factors would be positively associated with poor health prior to pregnancy, poor reproductive health history, and health complications and psychosocial difficulties during pregnancy. METHODS Data from 1,994 women (mean age=30.87 years) and their infants were collected from a prospective longitudinal cohort from 2008 to 2011. Pregnant women completed self-report questionnaires and a healthcare professional assessed the mothers' health prior to pregnancy, reproductive history, and pregnancy complications. RESULTS Data analyses were conducted from December 2016 to March 2017. Path analysis demonstrated that women who had experience with physical/emotional abuse in childhood were significantly more likely to enter pregnancy with a chronic health condition (AOR=1.25, 95% CI=1.02, 1.54) and to have psychosocial difficulties in their pregnancy (AOR=1.60, 95% CI=1.34, 1.89). Women who were exposed to household dysfunction in childhood were also significantly more likely to experience psychosocial difficulties during pregnancy (AOR=2.33, 95% CI=1.49, 3.65). There was no association between exposure to sexual abuse and maternal health or mental health outcomes. CONCLUSIONS Adverse childhood experience categories differentially predicted maternal health and psychosocial outcomes prior to and during pregnancy. The overall variance accounted for by adverse childhood experiences was small (3%-19%), suggesting that factors other than childhood adversity likely contribute to maternal health.
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Affiliation(s)
- Nicole M Racine
- Department of Psychology, Faculty of Arts, University of Calgary, Calgary, Alberta, Canada; Alberta Children's Hospital Research Institute, Calgary, Alberta, Canada
| | - Sheri L Madigan
- Department of Psychology, Faculty of Arts, University of Calgary, Calgary, Alberta, Canada; Alberta Children's Hospital Research Institute, Calgary, Alberta, Canada.
| | - Andre R Plamondon
- Département des fondements et pratiques en éducation, Université Laval, Québec, Québec, Canada
| | - Sheila W McDonald
- Department of Pediatrics, University of Calgary, Calgary, Alberta, Canada
| | - Suzanne C Tough
- Department of Pediatrics, University of Calgary, Calgary, Alberta, Canada; Department of Community Health Sciences, University of Calgary, Calgary, Alberta, Canada
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Tough SC, McDonald SW, Collisson BA, Graham SA, Kehler H, Kingston D, Benzies K. Cohort Profile: The All Our Babies pregnancy cohort (AOB). Int J Epidemiol 2017; 46:1389-1390k. [DOI: 10.1093/ije/dyw363] [Citation(s) in RCA: 63] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/13/2016] [Indexed: 11/15/2022] Open
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McDonald SW, Kehler HL, Tough SC. Protective factors for child development at age 2 in the presence of poor maternal mental health: results from the All Our Babies (AOB) pregnancy cohort. BMJ Open 2016; 6:e012096. [PMID: 28186930 PMCID: PMC5128911 DOI: 10.1136/bmjopen-2016-012096] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/05/2022] Open
Abstract
OBJECTIVE To identify the combination of factors most protective of developmental delay at age 2 among children exposed to poor maternal mental health. DESIGN Observational cohort study. SETTING Pregnant women were recruited from primary healthcare offices, the public health laboratory service and community posters in Calgary, Alberta, Canada. PARTICIPANTS 1596 mother-child dyads who participated in the All Our Babies study and who completed a follow-up questionnaire when their child was 2 years old. Among participants who completed the 2-year questionnaire and had complete mental health data (n=1146), 305 women (27%) were classified as high maternal mental health risk. PRIMARY MEASURES Child development at age 2 was described and a resilience analysis was performed among a subgroup of families at maternal mental health risk. The primary outcome was child development problems. Protective factors were identified among families at risk, defined as maternal mental health risk, a composite measure created from participants' responses to mental health life course questions and standardised mental health measures. RESULTS At age 2, 18% of children were classified as having development problems, 15% with behavioural problems and 13% with delayed social-emotional competencies. Among children living in a family with maternal mental health risk, protective factors against development problems included higher social support, higher optimism, more relationship happiness, less difficulty balancing work and family responsibilities, limiting the child's screen time to <1 hour per day and the child being able to fall asleep in <30 min and sleeping through the night by age 2. CONCLUSIONS Among families where the mother has poor mental health, public health and early intervention strategies that support interpersonal relationships, social support, optimism, work-life balance, limiting children's screen time and establishing good sleep habits in the child's first 2 years show promise to positively influence early child development.
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Affiliation(s)
- Sheila W McDonald
- Department of Pediatrics, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Heather L Kehler
- Department of Pediatrics, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Suzanne C Tough
- Departments of Pediatrics and Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
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McDonald SW, Ginez HK, Vinturache AE, Tough SC. Maternal perceptions of underweight and overweight for 6-8 years olds from a Canadian cohort: reporting weights, concerns and conversations with healthcare providers. BMJ Open 2016; 6:e012094. [PMID: 27798005 PMCID: PMC5073603 DOI: 10.1136/bmjopen-2016-012094] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/28/2023] Open
Abstract
OBJECTIVES The majority of mothers do not correctly identify their child's weight status. The reasons for the misperception are not well understood. This study's objective was to describe maternal perceptions of their child's body mass index (BMI) and maternal report of weight concerns raised by a health professional. DESIGN Prospective, community-based cohort. PARTICIPANTS Data were collected in 2010 from 450 mothers previously included in a longitudinal birth cohort. Mothers of children aged 6-8 years reported their child's anthropometric measures and were surveyed concerning their opinion about their child's weight. They were also asked if a healthcare provider raised any concerns regarding their child's body weight. Child BMI was categorised according to the WHO Growth Charts adapted for Canada. Descriptive statistics and bivariate analyses were used to evaluate mothers' ability to correctly identify their children's body habitus. RESULTS 74% of children had a healthy BMI, 10% were underweight, 9% were overweight and 7% were obese. 80%, 89% and 62% of mothers with underweight, overweight and obese children, respectively, believed that their child was at the right weight. The proportion of mothers who recalled a health professional raising concerns about their child being underweight, overweight, and obese was low (12.5%). CONCLUSIONS The majority of mothers with children at unhealthy weights misclassified and normalised their child's weight status, and they did not recall a health professional raising concerns regarding their child's weight. The highest rates of child body weight misclassification occurred in overweight children. This suggests that there are missed opportunities for healthcare professionals to improve knowledge exchange and early interventions to assist parents to recognise and support healthy weights for their children.
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Affiliation(s)
- Sheila W McDonald
- Department of Paediatrics, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
- Population, Public, and Aboriginal Health, Alberta Health Services, Calgary, Alberta, Canada
| | - Heather K Ginez
- Department of Paediatrics, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Angela E Vinturache
- Department of Paediatrics, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Suzanne C Tough
- Department of Paediatrics, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
- Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
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Robinson AM, Benzies KM, Cairns SL, Fung T, Tough SC. Who is distressed? A comparison of psychosocial stress in pregnancy across seven ethnicities. BMC Pregnancy Childbirth 2016; 16:215. [PMID: 27514674 PMCID: PMC4982239 DOI: 10.1186/s12884-016-1015-8] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2015] [Accepted: 08/01/2016] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND Calgary, Alberta has the fourth highest immigrant population in Canada and ethnic minorities comprise 28 % of its total population. Previous studies have found correlations between minority status and poor pregnancy outcomes. One explanation for this phenomenon is that minority status increases the levels of stress experienced during pregnancy. The aim of the present study was to identify specific types of maternal psychosocial stress experienced by women of an ethnic minority (Asian, Arab, Other Asian, African, First Nations and Latin American). METHODS A secondary analysis of variables that may contribute to maternal psychosocial stress was conducted using data from the All Our Babies prospective pregnancy cohort (N = 3,552) where questionnaires were completed at < 24 weeks of gestation and between 34 and 36 weeks of gestation. Questionnaires included standardized measures of perceived stress, anxiety, depression, physical and emotional health, and social support. Socio-demographic data included immigration status, language proficiency in English, ethnicity, age, and socio-economic status. RESULTS Findings from this study indicate that women who identify with an ethnic minority were more likely to report symptoms of depression, anxiety, inadequate social support, and problems with emotional and physical health during pregnancy than women who identified with the White reference group. CONCLUSIONS This study has identified that women of an ethic minority experience greater psychosocial stress in pregnancy compared to the White reference group.
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Affiliation(s)
- Alexandra M Robinson
- Faculty of Education, Counselling Psychology, University of Calgary, Calgary, AB, Canada
| | - Karen M Benzies
- Faculty of Nursing, and Department of Paediatrics, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.
| | - Sharon L Cairns
- Faculty of Education, Counselling Psychology, University of Calgary, Calgary, AB, Canada
| | - Tak Fung
- Information Technologies, University of Calgary, Calgary, AB, Canada
| | - Suzanne C Tough
- Departments of Paediatrics and Community Health Sciences, Cumming School of Medicine, Calgary, AB, Canada
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Heng YJ, Pennell CE, McDonald SW, Vinturache AE, Xu J, Lee MWF, Briollais L, Lyon AW, Slater DM, Bocking AD, de Koning L, Olson DM, Dolan SM, Tough SC, Lye SJ. Maternal Whole Blood Gene Expression at 18 and 28 Weeks of Gestation Associated with Spontaneous Preterm Birth in Asymptomatic Women. PLoS One 2016; 11:e0155191. [PMID: 27333071 PMCID: PMC4917227 DOI: 10.1371/journal.pone.0155191] [Citation(s) in RCA: 39] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2016] [Accepted: 04/25/2016] [Indexed: 01/08/2023] Open
Abstract
The heterogeneity of spontaneous preterm birth (SPTB) requires an interdisciplinary approach to determine potential predictive risk factors of early delivery. The aim of this study was to investigate maternal whole blood gene expression profiles associated with spontaneous preterm birth (SPTB, <37 weeks) in asymptomatic pregnant women. The study population was a matched subgroup of women (51 SPTBs, 114 term delivery controls) who participated in the All Our Babies community based cohort in Calgary (n = 1878). Maternal blood at 17–23 (sampling time point 1, T1) and 27–33 weeks of gestation (T2) were collected. Total RNA was extracted and microarray was performed on 326 samples (165 women). Univariate analyses determined significant clinical factors and differential gene expression associated with SPTB. Thirteen genes were validated using qRT-PCR. Three multivariate logistic models were constructed to identify gene expression at T1 (Model A), T2 (Model B), and gene expression fold change from T1 to T2 (Model C) associated with SPTB. All models were adjusted for clinical factors. Model C can predict SPTB with 65% sensitivity and 88% specificity in asymptomatic women after adjusting for history of abortion and anaemia (occurring before T2). Clinical data enhanced the sensitivity of the Models to predict SPTB. In conclusion, clinical factors and whole blood gene expression are associated with SPTB in asymptomatic women. An effective screening tool for SPTB during pregnancy would enable targeted preventive approaches and personalised antenatal care.
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Affiliation(s)
- Yujing J. Heng
- Departments of Obstetrics & Gynaecology and Physiology, University of Toronto, Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, ON, Canada
- Department of Pathology, Harvard Medical School, Beth Israel Deaconess Medical Center, Boston, MA, United States of America
- * E-mail:
| | - Craig E. Pennell
- School of Women's and Infants' Health, The University of Western Australia, Crawley, WA, Australia
| | - Sheila W. McDonald
- Department of Paediatrics, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Angela E. Vinturache
- Department of Paediatrics, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Departments of Obstetrics & Gynaecology and Physiology & Pharmacology, Cumming School of Medicine, University of Calgary, AB, Canada
| | - Jingxiong Xu
- Departments of Obstetrics & Gynaecology and Physiology, University of Toronto, Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, ON, Canada
- Dalla Lana School of Public Health, University of Toronto, ON, Canada
| | - Mary W. F. Lee
- Departments of Obstetrics & Gynaecology and Physiology, University of Toronto, Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, ON, Canada
| | - Laurent Briollais
- Departments of Obstetrics & Gynaecology and Physiology, University of Toronto, Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, ON, Canada
- Dalla Lana School of Public Health, University of Toronto, ON, Canada
| | - Andrew W. Lyon
- Department of Pathology and Lab Medicine, University of Saskatchewan, St Paul’s Hospital, Saskatoon Health Region, Saskatoon, SK, Canada
| | - Donna M. Slater
- Department of Paediatrics, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Departments of Obstetrics & Gynaecology and Physiology & Pharmacology, Cumming School of Medicine, University of Calgary, AB, Canada
| | - Alan D. Bocking
- Departments of Obstetrics & Gynaecology and Physiology, University of Toronto, Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, ON, Canada
| | - Lawrence de Koning
- Department of Paediatrics, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Calgary Laboratory Services, Calgary, AB, Canada
- Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - David M. Olson
- Departments of Obstetrics & Gynecology, Physiology and Pediatrics, University of Alberta, Edmonton, AB, Canada
| | - Siobhan M. Dolan
- Department of Obstetrics & Gynecology and Women's Health (Reproductive Genetics), Albert Einstein College of Medicine, Bronx, NY, United States of America
| | - Suzanne C. Tough
- Department of Paediatrics, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Stephen J. Lye
- Departments of Obstetrics & Gynaecology and Physiology, University of Toronto, Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, ON, Canada
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Hobbs AJ, Mannion CA, McDonald SW, Brockway M, Tough SC. The impact of caesarean section on breastfeeding initiation, duration and difficulties in the first four months postpartum. BMC Pregnancy Childbirth 2016; 16:90. [PMID: 27118118 PMCID: PMC4847344 DOI: 10.1186/s12884-016-0876-1] [Citation(s) in RCA: 265] [Impact Index Per Article: 33.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2015] [Accepted: 04/19/2016] [Indexed: 12/16/2022] Open
Abstract
Background The caesarean section (c-section) rate in Canada is 27.1 %, well above the 5–15 % of deliveries suggested by the World Health Organization in 2009. Emergency and planned c-sections may adversely affect breastfeeding initiation, milk supply and infant breastfeeding receptivity compared to vaginal deliveries. Our study examined mode of delivery and breastfeeding initiation, duration, and difficulties reported by mothers at 4 months postpartum. Methods The All Our Babies study is a prospective pregnancy cohort in Calgary, Alberta, that began in 2008. Participants completed questionnaires at <25 and 34–36 weeks gestation and approximately 4 months postpartum. Demographic, mental health, lifestyle, and health services data were obtained. Women giving birth to singleton infants were included (n = 3021). Breastfeeding rates and difficulties according to mode of birth (vaginal, planned c-section and emergency c-section) were compared using cross-tabulations and chi-square tests. A multivariable logistic regression model was created to examine the association between mode of birth on breastfeeding duration to 12 weeks postpartum. Results More women who delivered by planned c-section had no intention to breastfeed or did not initiate breastfeeding (7.4 % and 4.3 % respectively), when compared to women with vaginal births (3.4 % and 1.8 %, respectively) and emergency c-section (2.7 % and 2.5 %, respectively). Women who delivered by emergency c-section were found to have a higher proportion of breastfeeding difficulties (41 %), and used more resources before (67 %) and after (58 %) leaving the hospital, when compared to vaginal delivery (29 %, 40 %, and 52 %, respectively) or planned c-sections (33 %, 49 %, and 41 %, respectively). Women who delivered with a planned c-section were more likely (OR = 1.61; 95 % CI: 1.14, 2.26; p = 0.014) to discontinue breastfeeding before 12 weeks postpartum compared to those who delivered vaginally, controlling for income, education, parity, preterm birth, maternal physical and mental health, ethnicity and breastfeeding difficulties. Conclusions We found that when controlling for socio-demographic and labor and delivery characteristics, planned c-section is associated with early breastfeeding cessation. Anticipatory guidance around breastfeeding could be provided to women considering a planned c-section. As well, additional supportive care could be made available to lactating women with emergency c-sections, within the first 24 hours post birth and throughout the early postpartum period. Electronic supplementary material The online version of this article (doi:10.1186/s12884-016-0876-1) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Amy J Hobbs
- Cumming School of Medicine, Department of Community Health Sciences, University of Calgary, TRW Building 3rd Floor, 3280 Hospital Drive NW, Calgary, Alberta, T2N 4Z6, Canada.
| | - Cynthia A Mannion
- Faculty of Nursing, University of Calgary, 2800 University Way NW, Calgary, AB, T2N1N4, Canada
| | - Sheila W McDonald
- Cumming School of Medicine, Department of Paediatrics, University of Calgary, 2888 Shaganappi Trail NW, Calgary, Alberta, T3B 6A8, Canada
| | - Meredith Brockway
- Faculty of Nursing, University of Calgary, 2800 University Way NW, Calgary, AB, T2N1N4, Canada
| | - Suzanne C Tough
- Cumming School of Medicine, Department of Community Health Sciences, University of Calgary, TRW Building 3rd Floor, 3280 Hospital Drive NW, Calgary, Alberta, T2N 4Z6, Canada.,Cumming School of Medicine, Department of Paediatrics, University of Calgary, 2888 Shaganappi Trail NW, Calgary, Alberta, T3B 6A8, Canada
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Abstract
OBJECTIVE To compare demographic characteristics and maternal, fetal, neonatal, and pregnancy outcomes of term macrosomic infants of obese and non-obese mothers. METHODS A sample of 1996 singleton, term deliveries was drawn from the All Our Babies Cohort, a prospective, community-based pregnancy cohort. Maternal self-reported socio-demographic and anthropometric information was linked to the clinical data on pregnancy and birth events abstracted from electronic health records. Demographic, obstetrical characteristics and maternal, fetal, neonatal, and pregnancy outcomes of macrosomic infants in obese, overweight, and normal weight women were compared. Multinomial regression analysis assessed the risk factors of macrosomia in primiparous and multiparous women stratified by maternal pre-pregnancy BMI, controlling for confounding variables. RESULTS Macrosomia affected 10% of pregnancies in the study. Mothers whose infants were macrosomic were more likely to be Caucasian, obese, have had previous deliveries, undergo induction of labour and delivery by emergency C-section, particularly for labour abnormalities. Macrosomic infants were more likely to be delivered postdates, have meconium stained liquor and require resuscitation at birth. There were no significant differences in birth and neonatal outcomes of macrosomic pregnancies between obese, overweight and normal weight women. Pre-pregnancy BMI and gestational age at delivery were risk factors for macrosomia in all women. Ethnicity and history of delivery of a macrosomic infant were additional independent risk factors in multiparas. CONCLUSIONS Obesity in pregnancy increases the risk of delivery of a macrosomic infant in both primiparous and multiparous women. The maternal, fetal and neonatal outcomes of macrosomic pregnancies are similar in obese and normal weight women.
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Affiliation(s)
- Angela E Vinturache
- a Department of Paediatrics , Cumming School of Medicine, University of Calgary , Calgary , Alberta , Canada and
| | - Kathleen H Chaput
- a Department of Paediatrics , Cumming School of Medicine, University of Calgary , Calgary , Alberta , Canada and
| | - Suzanne C Tough
- b Departments of Pediatrics and Community Health Sciences , Cumming School of Medicine, University of Calgary , Calgary , Alberta , Canada
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Alton ME, Zeng Y, Tough SC, Mandhane PJ, Kozyrskyj AL. Postpartum depression, a direct and mediating risk factor for preschool wheeze in girls. Pediatr Pulmonol 2016; 51:349-57. [PMID: 26448278 DOI: 10.1002/ppul.23308] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/10/2014] [Revised: 07/13/2015] [Accepted: 07/20/2015] [Indexed: 11/07/2022]
Abstract
BACKGROUND Postpartum depression affects over 1 in 10 child-bearing women. A growing body of evidence links maternal distress during the key developmental stages of infants with poor health outcomes, including wheeze and asthma. OBJECTIVE We sought to investigate whether postpartum depression had an independent association with the development of wheeze in preschool-aged children. A second a priori objective was to ascertain whether postpartum depression functioned as a mediating factor for associations between wheeze, and prenatal distress and nutrition. METHODS Data from the Community Perinatal Care Trial on maternal postpartum depression (Edinburgh Postnatal Depression Scale), the dependent variable, wheeze at age 3, and possible confounding factors were obtained for 791 women and their children in Calgary, Canada. Adjusted gender-specific logistic regression analyses were performed to test the association between postpartum depression and child wheeze, which was independent of maternal distress and vitamin use during pregnancy, pre/postnatal smoking, preterm birth, exclusive breastfeeding duration, daycare attendance, and maternal education. The potential mediating effects of postpartum depression were investigated in a path analysis. RESULTS Wheeze at age 3 was almost 5 times more likely in girls of mothers who experienced postpartum depression. Results from a path analysis suggested that postpartum depression has a direct effect on wheeze (beta-coefficient=0.135, P < 0.05), and also mediates the effects of prenatal distress and vitamin use on wheeze in preschool girls. In boys, only prenatal smoking was a statistically significant predictor of wheeze, mainly through the effects of postnatal smoking. CONCLUSIONS & CLINICAL RELEVANCE Postpartum depression may be a risk factor for preschool wheeze among girls in a low risk population, directly and indirectly through prenatal distress and vitamin use. Interventions which target postpartum depression and promote a healthy pregnancy may also reduce the risk of wheeze in children.
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Affiliation(s)
- Megan E Alton
- Faculty of Medicine, University of Calgary, Calgary, Alberta
| | - Yiye Zeng
- Department of Pediatrics, Faculty of Medicine & Dentistry, University of Alberta, Edmonton, Alberta
| | - Suzanne C Tough
- Departments of Paediatrics and Community Health Sciences, Faculty of Medicine, University of Calgary, Calgary, Alberta
| | - Piushkumar J Mandhane
- Department of Pediatrics, Faculty of Medicine & Dentistry, University of Alberta, Edmonton, Alberta.,School of Public Health, University of Alberta, Edmonton, Alberta
| | - Anita L Kozyrskyj
- Department of Pediatrics, Faculty of Medicine & Dentistry, University of Alberta, Edmonton, Alberta.,School of Public Health, University of Alberta, Edmonton, Alberta
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Metcalfe A, Talavlikar R, du Prey B, Tough SC. Exploring the relationship between socioeconomic factors, method of contraception and unintended pregnancy. Reprod Health 2016; 13:28. [PMID: 27000406 PMCID: PMC4802908 DOI: 10.1186/s12978-016-0151-y] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2015] [Accepted: 03/12/2016] [Indexed: 01/23/2023] Open
Abstract
BACKGROUND It is estimated that approximately one-third of pregnancies in Canada are unintended, meaning they were either mistimed (the woman wanted to be pregnant at a different point in time) or undesired (the woman did not want to be pregnant). This study aimed to assess the impact of socioeconomic variables and method of contraception on the decision to either terminate or continue and unintended pregnancy. METHODS Data were obtained from two contemporaneous studies in Calgary Canada--a cross-sectional study involving women seeking abortion services (n = 577) and a longitudinal cohort study involving women with continuing pregnancies (n = 3552) between 2008 and 2012. Chi square tests and logistic regression were used to examine the association between socioeconomic variables, use of contraception and pregnancy intention. RESULTS 96.5% of women seeking an abortion and 19.6% of women with ongoing pregnancies reported having an unintended pregnancy. Women with unintended pregnancies were significantly younger (p < 0.001), less educated (p < 0.001), had a lower household income (p < 0.001), were less likely to be in a stable relationship (p < 0.001), and less likely to speak English in the home (p < 0.002). 20.2% reported not using any form of birth control despite their desire to not get pregnant. Among women with unintended pregnancies, the only significant demographic predictor of not using any form of contraception was low educational attainment (OR = 1.7, 95% CI: 1.2-2.4). CONCLUSIONS Low educational attainment was associated with not using any form of contraception among women with unintended pregnancies. However, as unintended pregnancy occurs across all socio-demographic groups, care providers are encouraged to have an open discussion regarding fertility goals and contraception with all patients and refer them to appropriate resource materials.
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Affiliation(s)
- Amy Metcalfe
- Department of Obstetrics and Gynecology, University of Calgary, Foothills Medical Centre, 4th Floor North Tower 1403 29 St, NW Calgary, Alberta, T2N 2T9, Canada.
| | - Rachel Talavlikar
- Family Medicine and Primary Care, University of Calgary, Research Office, G012, Health Sciences Centre 3330 Hospital Drive, NW Calgary, T2N 4N1, Alberta, Canada
| | - Beatrice du Prey
- Family Medicine and Primary Care, University of Calgary, Research Office, G012, Health Sciences Centre 3330 Hospital Drive, NW Calgary, T2N 4N1, Alberta, Canada
| | - Suzanne C Tough
- Department of Pediatrics, University of Calgary, 2888 Shaganappi Trail, N.W. Calgary, Alberta, T3B 6A8, Canada.,Department of Community Health Sciences, University of Calgary, Calgary, Alberta, T2N, Canada
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Manhas KP, Page S, Dodd SX, Letourneau N, Ambrose A, Cui X, Tough SC. Parental perspectives on consent for participation in large-scale, non-biological data repositories. Life Sci Soc Policy 2016; 12:1. [PMID: 26790860 PMCID: PMC4720627 DOI: 10.1186/s40504-016-0034-6] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/12/2015] [Accepted: 01/07/2016] [Indexed: 05/13/2023]
Abstract
BACKGROUND Data sharing presents several challenges to the informed consent process. Unique challenges emerge when sharing pediatric or pregnancy-related data. Here, parent preferences for sharing non-biological data are examined. METHODS Groups (n = 4 groups, 18 participants) and individual interviews (n = 19 participants) were conducted with participants from two provincial, longitudinal pregnancy cohorts (AOB and APrON). Qualitative content analysis was applied to transcripts of semi-structured interviews. RESULTS Participants were supportive of a broad, one-time consent model or a tiered consent model. These preferences were grounded in the perceived obligations for reciprocity and accuracy. Parents want reciprocity among participants, repositories and researchers regarding respect and trust. Furthermore, parents' worry about the interrelationships between the validity of the consent processes and secondary data use. CONCLUSIONS Though parent participants agree that their research data should be made available for secondary use, they believe their consent is still required. Given their understanding that obtaining and informed consent can be challenging in the case of secondary use, parents agreed that a broad, one-time consent model was acceptable, reducing the logistical burden while maintaining respect for their contribution. This broad model also maintained participant trust in the research and secondary use of their data. The broad, one-time model also reflected parents' perspectives surrounding child involvement in the consent process. The majority of parents felt decision made during childhood were the parents responsibility and should remain in parental purview until the child reaches the age of majority.
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Affiliation(s)
- Kiran Pohar Manhas
- Child Development Centre, c/o 2888 Shaganappi Trail NW, Calgary, AB, T3B 6A8, Canada.
| | - Stacey Page
- MacKimmie Library Tower, 2500 University Drive Northwest, Calgary, AB, T2N 1N4, Canada.
| | - Shawn X Dodd
- Child Development Centre, c/o 2888 Shaganappi Trail NW, Calgary, AB, T3B 6A8, Canada.
| | - Nicole Letourneau
- Child Development Centre, c/o 2888 Shaganappi Trail NW, Calgary, AB, T3B 6A8, Canada.
| | | | - Xinjie Cui
- Child and Youth Data Lab, Alberta Center for Child Family and Community Research, 9925 109 St NW, Edmonton, AB, T5J 3M9, Canada.
| | - Suzanne C Tough
- Child Development Centre, c/o 2888 Shaganappi Trail NW, Calgary, AB, T3B 6A8, Canada.
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Chaput KH, Nettel-Aguirre A, Musto R, Adair CE, Tough SC. Breastfeeding difficulties and supports and risk of postpartum depression in a cohort of womenwho have given birth in Calgary: a prospective cohort study. CMAJ Open 2016; 4:E103-9. [PMID: 27280109 PMCID: PMC4866929 DOI: 10.9778/cmajo.20150009] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
BACKGROUND A link exists between breastfeeding difficulties and postpartum depression, and evidence shows that some breastfeeding promotion initiatives may increase maternal stress and contribute to risk of the condition. We conducted a prospective cohort study to determine whether breastfeeding difficulties affect the risk of postpartum depression and whether breastfeeding support modifies the relationship between breastfeeding difficulties and postpartum depression. METHODS Between June and October 2010, we recruited 442 women who intended to breastfeed from all maternity hospitals in Calgary within 72 hours of giving birth to full-term, singleton infants. We administered questionnaires at birth and 6 weeks and 6 months postpartum, measuring breastfeeding difficulties, exposure to breastfeeding supports and postpartum depression. We used qualitative inquiry to measure breastfeeding support experiences. Postpartum depression was defined as a score of 10 or greater on the Edinburgh Postnatal Depression Scale or a self-reported diagnosis of depression in the first 6 months postpartum. RESULTS A total of 386 women (87.3%) reported moderate to severe breastfeeding difficulties and 437 (98.9%) received some form of breastfeeding advice, help or support. Among women with breastfeeding difficulties, those who did not report a negative breastfeeding support experience were at decreased risk of postpartum depression (risk ratio 0.36). In the final regression model a negative breastfeeding support experience was a significant effect modifier of the relationship between breastfeeding difficulties and postpartum depression. INTERPRETATION The quality of breastfeeding support is important not only for breastfeeding promotion but also for maternal mental health. Educating front-line caregivers to ensure that support experiences of breastfeeding women are positive can reduce the risk of postpartum depression.
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Affiliation(s)
- Kathleen H Chaput
- Department of Community Health Sciences (Chaput, Nettel-Aguirre, Musto, Adair, Tough), Cumming School of Medicine; Department of Paediatrics (Chaput, Nettel-Aguirre, Tough), Cumming School of Medicine, University of Calgary; Alberta Health Services - Calgary Zone (Musto); Department of Psychiatry (Adair), Cumming School of Medicine, University of Calgary, Calgary, Alta
| | - Alberto Nettel-Aguirre
- Department of Community Health Sciences (Chaput, Nettel-Aguirre, Musto, Adair, Tough), Cumming School of Medicine; Department of Paediatrics (Chaput, Nettel-Aguirre, Tough), Cumming School of Medicine, University of Calgary; Alberta Health Services - Calgary Zone (Musto); Department of Psychiatry (Adair), Cumming School of Medicine, University of Calgary, Calgary, Alta
| | - Richard Musto
- Department of Community Health Sciences (Chaput, Nettel-Aguirre, Musto, Adair, Tough), Cumming School of Medicine; Department of Paediatrics (Chaput, Nettel-Aguirre, Tough), Cumming School of Medicine, University of Calgary; Alberta Health Services - Calgary Zone (Musto); Department of Psychiatry (Adair), Cumming School of Medicine, University of Calgary, Calgary, Alta
| | - Carol E Adair
- Department of Community Health Sciences (Chaput, Nettel-Aguirre, Musto, Adair, Tough), Cumming School of Medicine; Department of Paediatrics (Chaput, Nettel-Aguirre, Tough), Cumming School of Medicine, University of Calgary; Alberta Health Services - Calgary Zone (Musto); Department of Psychiatry (Adair), Cumming School of Medicine, University of Calgary, Calgary, Alta
| | - Suzanne C Tough
- Department of Community Health Sciences (Chaput, Nettel-Aguirre, Musto, Adair, Tough), Cumming School of Medicine; Department of Paediatrics (Chaput, Nettel-Aguirre, Tough), Cumming School of Medicine, University of Calgary; Alberta Health Services - Calgary Zone (Musto); Department of Psychiatry (Adair), Cumming School of Medicine, University of Calgary, Calgary, Alta
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Hetherington E, Doktorchik C, Premji SS, McDonald SW, Tough SC, Sauve RS. Preterm Birth and Social Support during Pregnancy: a Systematic Review and Meta-Analysis. Paediatr Perinat Epidemiol 2015; 29:523-35. [PMID: 26332279 DOI: 10.1111/ppe.12225] [Citation(s) in RCA: 51] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
BACKGROUND Additional social support is often recommended for women during the prenatal period to optimise birth outcomes, specifically to avoid preterm birth. Social support is thought to act in one of two ways: by reducing stress and anxiety, or by providing coping mechanisms for women with high stress. However, evidence in this area is mixed. The purpose of this meta-analysis is to determine if low levels of social support are associated with an increased risk for preterm birth. METHODS Six databases were searched for randomised control trials and cohort studies regarding social support and preterm birth with no limits set on date or language. Inclusion criteria included the use of a validated instrument to measure social support, and studies conducted in high-income or high-middle-income countries. RESULTS There were 3467 records retrieved, 16 of which met the inclusion criteria. Eight studies (n = 14 630 subjects) demonstrated a pooled odds ratio (OR) of 1.22 (95% CI 0.84, 1.76) for preterm birth in women with low social support compared with high social support. Among women with high stress levels, two studies (n = 6374 subjects) yielded a pooled OR of 1.52 (95% CI 1.18, 1.97). The results of six studies could not be pooled due to incompatibility of outcome measures. CONCLUSIONS There is no evidence for a direct association between social support and preterm birth. Social support, however, may provide a buffering mechanism between stress and preterm birth.
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Affiliation(s)
- Erin Hetherington
- Department of Community Health Sciences, University of Calgary, Calgary, Alberta, Canada
| | - Chelsea Doktorchik
- Department of Community Health Sciences, University of Calgary, Calgary, Alberta, Canada
| | - Shahirose S Premji
- Department of Community Health Sciences, University of Calgary, Calgary, Alberta, Canada.,Faculty of Nursing, University of Calgary, Calgary, Alberta, Canada
| | - Sheila W McDonald
- Department of Pediatrics, University of Calgary, Calgary, Alberta, Canada
| | - Suzanne C Tough
- Department of Community Health Sciences, University of Calgary, Calgary, Alberta, Canada.,Department of Pediatrics, University of Calgary, Calgary, Alberta, Canada
| | - Reg S Sauve
- Department of Community Health Sciences, University of Calgary, Calgary, Alberta, Canada.,Department of Pediatrics, University of Calgary, Calgary, Alberta, Canada
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Abstract
BACKGROUND Breastfeeding difficulties are a common occurrence, are highly personal and can vary from one infant to the next for any mother. Multiple sources of support, help and advice for breastfeeding are available to nursing mothers. Evidence suggests that the experience of the quality of breastfeeding supports may play an important role in maternal mental health and well-being in the postpartum period. We sought to explore the experiences of nursing mothers with support they received for breastfeeding in order to better inform and optimize existing breastfeeding supports and interventions. METHODS We conducted a qualitative inquiry of nursing mothers' experiences with help, advice and support for breastfeeding. Participants were asked to provide open-ended, written accounts of their experiences with all sources of breastfeeding support received in the 6 months following the delivery of a healthy full-term infant in Calgary. We conducted qualitative thematic analysis, using constant comparison techniques. RESULTS The sample included 86 mothers. Our analyses uncovered 4 emergent themes that contributed to the perceived quality of breastfeeding support: knowledge, effectiveness, sensitivity/emotional support and accessible when sought. INTERPRETATION Our study provides a greater understanding of how mothers perceive the quality of the breastfeeding support that they receive, as well as what qualities of breastfeeding support are seen as beneficial or negative. The qualities contributing to the perception of breastfeeding support are important to inform and optimize perinatal care, and potentially reduce the risk of negative mental health outcomes for mothers.
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Affiliation(s)
- Kathleen H Chaput
- Department of Community Health, University of Calgary; and Alberta Health Services, Calgary, Alta. ; Department of Paediatrics, University of Calgary; and Alberta Health Services, Calgary, Alta
| | - Carol E Adair
- Department of Community Health, University of Calgary; and Alberta Health Services, Calgary, Alta. ; Department of Psychiatry, University of Calgary; and Alberta Health Services, Calgary, Alta
| | - Alberto Nettel-Aguirre
- Department of Community Health, University of Calgary; and Alberta Health Services, Calgary, Alta. ; Department of Paediatrics, University of Calgary; and Alberta Health Services, Calgary, Alta
| | - Richard Musto
- Department of Community Health, University of Calgary; and Alberta Health Services, Calgary, Alta. ; Cumming School of Medicine, University of Calgary; and Alberta Health Services, Calgary, Alta
| | - Suzanne C Tough
- Department of Community Health, University of Calgary; and Alberta Health Services, Calgary, Alta. ; Department of Paediatrics, University of Calgary; and Alberta Health Services, Calgary, Alta
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Mannion CA, Vinturache AE, McDonald SW, Tough SC. The Influence of Back Pain and Urinary Incontinence on Daily Tasks of Mothers at 12 Months Postpartum. PLoS One 2015; 10:e0129615. [PMID: 26083252 PMCID: PMC4471341 DOI: 10.1371/journal.pone.0129615] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2014] [Accepted: 05/11/2015] [Indexed: 11/24/2022] Open
Abstract
Objective The present study examined back pain (BP) and/or urinary incontinence (UI) impact on the ability to perform daily tasks at 12 months after childbirth in healthy reproductive women who sought maternity care in community based family practice clinics. Methods This study is a secondary analysis from the All Our Babies Study, a prospective, community-based pregnancy cohort in Calgary, Alberta. Maternal self-reported information on demographics, lifestyle, experiences with pregnancy and childbirth, occurrence of BP, UI and consequent impairment of daily tasks were collected by questionnaires administered before 25 weeks, at 34-36 weeks gestation and at 4 and 12 months postpartum. The occurrence and severity of BP and UI at one year after childbirth was assessed using descriptive and bivariate analyses. Logistic regression models examined the association between demographic and obstetrical variables and the severity of functional impairment due to UI and BP. Results From 1574 women with singleton pregnancies included in the study, 1212 (77%) experienced BP, 773 (49%) UI, and 620 (40%) both BP and UI. From the 821 women reporting impairment of daily tasks due to BP, 199 (24 %) were moderately and 90 (11%) severely affected with the remainder, 532 (64%) being mildly affected. From 267 women with functional impairment due to UI, 52 (19%) reported moderately to severe impairment in their ability to perform daily tasks. Obesity and parity were risk factors for impairment of daily functioning due to BP, whereas obesity and vaginal delivery increased the risk of moderate to severe impairment due to UI. Conclusions BP and UI are common occurrences 1 year after childbirth. Maternal performance of daily tasks and women’s health and quality of life are more often impaired due to BP than UI. Our study brings new evidence of the risk factors that predict severity and impact of these conditions on women functioning at 12 months postpartum.
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Affiliation(s)
| | - Angela E. Vinturache
- Department of Paediatrics, Faculty of Medicine, University of Calgary, Calgary, Alberta, Canada
- * E-mail:
| | - Sheila W. McDonald
- Department of Paediatrics, Faculty of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Suzanne C. Tough
- Department of Paediatrics, Faculty of Medicine, University of Calgary, Calgary, Alberta, Canada
- Department of Community Health Sciences, Faculty of Medicine, University of Calgary, Calgary, Alberta, Canada
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Manhas KP, Page S, Dodd SX, Letourneau N, Ambrose A, Cui X, Tough SC. Parent perspectives on privacy and governance for a pediatric repository of non-biological, research data. J Empir Res Hum Res Ethics 2015; 10:88-99. [PMID: 25742670 DOI: 10.1177/1556264614564970] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Research data repositories (RDRs) are data storage entities where data can be submitted, stored, and subsequently accessed for purposes beyond the original intent. There is little information relating to non-biological RDRs, nor considerations regarding pediatric data storage and re-use. We examined parent perspectives on pediatric, non-biological RDRs. Qualitative, descriptive methods including both interviews and focus groups were used. Purposive sampling of adult participants in two provincial birth cohorts yielded 19 interviewees and 18 focus group participants (4 groups). Transcripts were analyzed by thematic content analysis. Parent research participants strongly supported the sharing of their own, and their child's, non-biological research data. Four themes emerged: that altruism has limits, that participants have ongoing privacy concerns, that some participants need the assurance of congruent values between themselves and researchers/research questions, and that opinions diverge for some governance issues. The establishment of RDRs is important and maximizes participants', researchers', and funders' investments. Participants as data donors have concerns relating to privacy, relationships, and governance that must be considered in RDR development.
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Affiliation(s)
- Kiran P Manhas
- Alberta Centre for Child, Family & Community Research, Calgary, Canada University of Calgary, Alberta, Canada
| | | | | | | | | | - Xinjie Cui
- Alberta Centre for Child, Family & Community Research, Calgary, Canada
| | - Suzanne C Tough
- Alberta Centre for Child, Family & Community Research, Calgary, Canada University of Calgary, Alberta, Canada
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Dzakpasu S, Fahey J, Kirby RS, Tough SC, Chalmers B, Heaman MI, Bartholomew S, Biringer A, Darling EK, Lee LS, McDonald SD. Contribution of prepregnancy body mass index and gestational weight gain to adverse neonatal outcomes: population attributable fractions for Canada. BMC Pregnancy Childbirth 2015; 15:21. [PMID: 25652811 PMCID: PMC4326407 DOI: 10.1186/s12884-015-0452-0] [Citation(s) in RCA: 70] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2014] [Accepted: 01/22/2015] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Low or high prepregnancy body mass index (BMI) and inadequate or excess gestational weight gain (GWG) are associated with adverse neonatal outcomes. This study estimates the contribution of these risk factors to preterm births (PTBs), small-for-gestational age (SGA) and large-for-gestational age (LGA) births in Canada compared to the contribution of prenatal smoking, a recognized perinatal risk factor. METHODS We analyzed data from the Canadian Maternity Experiences Survey. A sample of 5,930 women who had a singleton live birth in 2005-2006 was weighted to a nationally representative population of 71,200 women. From adjusted odds ratios, we calculated population attributable fractions to estimate the contribution of BMI, GWG and prenatal smoking to PTB, SGA and LGA infants overall and across four obstetric groups. RESULTS Overall, 6% of women were underweight (<18.5 kg/m(2)) and 34.4% were overweight or obese (≥25.0 kg/m(2)). More than half (59.4%) gained above the recommended weight for their BMI, 18.6% gained less than the recommended weight and 10.4% smoked prenatally. Excess GWG contributed more to adverse outcomes than BMI, contributing to 18.2% of PTB and 15.9% of LGA. Although the distribution of BMI and GWG was similar across obstetric groups, their impact was greater among primigravid women and multigravid women without a previous PTB or pregnancy loss. The contributions of BMI and GWG to PTB and SGA exceeded that of prenatal smoking. CONCLUSIONS Maternal weight, and GWG in particular, contributes significantly to the occurrence of adverse neonatal outcomes in Canada. Indeed, this contribution exceeds that of prenatal smoking for PTB and SGA, highlighting its public health importance.
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Affiliation(s)
- Susie Dzakpasu
- Maternal and Infant Health Section, Health Surveillance and Epidemiology Division, Public Health Agency of Canada, 785 Carling Avenue, 6804A 4th Floor, Ottawa, Ontario, K1A 0 K9, Canada.
| | - John Fahey
- Reproductive Care Program of Nova Scotia, Halifax, Nova Scotia, Canada.
| | - Russell S Kirby
- Department of Community and Family Health, College of Public Health, University of South Florida, Tampa, FL, U.S.A.
| | - Suzanne C Tough
- Departments of Paediatrics and Community Health Sciences, Faculty of Medicine, University of Calgary, Calgary, Alberta, Canada.
| | - Beverley Chalmers
- Department of Obstetrics and Gynaecology, Ottawa Hospital Research Institute, University of Ottawa, Ottawa, Ontario, Canada.
| | - Maureen I Heaman
- College of Nursing, Faculty of Health Sciences, University of Manitoba, Winnipeg, Manitoba, Canada.
| | - Sharon Bartholomew
- Maternal and Infant Health Section, Health Surveillance and Epidemiology Division, Public Health Agency of Canada, 785 Carling Avenue, 6804A 4th Floor, Ottawa, Ontario, K1A 0 K9, Canada.
| | - Anne Biringer
- Department of Family and Community Medicine, University of Toronto, Mount Sinai Hospital, Toronto, Ontario, Canada.
| | - Elizabeth K Darling
- Midwifery Education Program, Laurentian University, Sudbury, Ontario, Canada.
| | - Lily S Lee
- Perinatal Services British Columbia, Provincial Health Services Authority, Vancouver, British Columbia, Canada.
| | - Sarah D McDonald
- Departments of Obstetrics & Gynecology, Radiology, and Clinical Epidemiology & Biostatistics, McMaster University, Hamilton, Canada.
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McDonald SW, Hicks M, Rasmussen C, Nagulesapillai T, Cook J, Tough SC. Characteristics of Women Who Consume Alcohol Before and After Pregnancy Recognition in a Canadian Sample: A Prospective Cohort Study. Alcohol Clin Exp Res 2015; 38:3008-16. [DOI: 10.1111/acer.12579] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2014] [Accepted: 09/13/2014] [Indexed: 10/24/2022]
Affiliation(s)
| | - Matthew Hicks
- Department of Pediatrics; University of Calgary; Calgary Alberta Canada
| | - Carmen Rasmussen
- Department of Pediatrics; University of Alberta; Edmonton Alberta Canada
| | | | | | - Suzanne C. Tough
- Department of Pediatrics; University of Calgary; Calgary Alberta Canada
- Department of Community Health Sciences; University of Calgary; Calgary Alberta Canada
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48
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Metcalfe A, Lix LM, Johnson JA, Currie G, Lyon AW, Bernier F, Tough SC. Validation of an obstetric comorbidity index in an external population. BJOG 2015; 122:1748-55. [PMID: 25559311 PMCID: PMC5006847 DOI: 10.1111/1471-0528.13254] [Citation(s) in RCA: 92] [Impact Index Per Article: 10.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/03/2014] [Indexed: 12/03/2022]
Abstract
Objectives An obstetric comorbidity index has been developed recently with superior performance characteristics relative to general comorbidity measures in an obstetric population. This study aimed to externally validate this index and to examine the impact of including hospitalisation/delivery records only when estimating comorbidity prevalence and discriminative performance of the obstetric comorbidity index. Design Validation study. Setting Alberta, Canada. Population Pregnant women who delivered a live or stillborn infant in hospital (n = 5995). Methods Administrative databases were linked to create a population‐based cohort. Comorbid conditions were identified from diagnoses for the delivery hospitalisation, all hospitalisations and all healthcare contacts (i.e. hospitalisations, emergency room visits and physician visits) that occurred during pregnancy and 3 months pre‐conception. Logistic regression was used to test the discriminative performance of the comorbidity index. Main outcome measures Maternal end‐organ damage and extended length of stay for delivery. Results Although prevalence estimates for comorbid conditions were consistently lower in delivery records and hospitalisation data than in data for all healthcare contacts, the discriminative performance of the comorbidity index was constant for maternal end‐organ damage [all healthcare contacts area under the receiver operating characteristic curve (AUC) = 0.70; hospitalisation data AUC = 0.67; delivery data AUC = 0.65] and extended length of stay for delivery (all healthcare contacts AUC = 0.60; hospitalisation data AUC = 0.58; delivery data AUC = 0.58). Conclusions The obstetric comorbidity index shows similar performance characteristics in an external population and is a valid measure of comorbidity in an obstetric population. Furthermore, the discriminative performance of the comorbidity index was similar for comorbidities ascertained at the time of delivery, in hospitalisation data or through all healthcare contacts.
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Affiliation(s)
- A Metcalfe
- Department of Obstetrics and Gynaecology, University of Calgary, Calgary, AB, Canada
| | - L M Lix
- Department of Community Health Sciences, University of Manitoba, Winnipeg, MB, Canada
| | - J-A Johnson
- Department of Obstetrics and Gynaecology, University of Calgary, Calgary, AB, Canada
| | - G Currie
- Department of Paediatrics, University of Calgary, Calgary, AB, Canada.,Department of Community Health Sciences, University of Calgary, Calgary, AB, Canada
| | - A W Lyon
- Department of Pathology and Laboratory Medicine, Saskatoon Health Region and College of Medicine, University of Saskatchewan, Saskatoon, SK, Canada
| | - F Bernier
- Department of Clinical Genetics, University of Calgary, Calgary, AB, Canada
| | - S C Tough
- Department of Paediatrics, University of Calgary, Calgary, AB, Canada.,Department of Community Health Sciences, University of Calgary, Calgary, AB, Canada
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McDonald SW, Kingston D, Bayrampour H, Dolan SM, Tough SC. Cumulative psychosocial stress, coping resources, and preterm birth. Arch Womens Ment Health 2014; 17:559-68. [PMID: 24948100 DOI: 10.1007/s00737-014-0436-5] [Citation(s) in RCA: 69] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/06/2014] [Accepted: 06/11/2014] [Indexed: 01/27/2023]
Abstract
Preterm birth constitutes a significant international public health issue, with implications for child and family well-being. High levels of psychosocial stress and negative affect before and during pregnancy are contributing factors to shortened gestation and preterm birth. We developed a cumulative psychosocial stress variable and examined its association with early delivery controlling for known preterm birth risk factors and confounding environmental variables. We further examined this association among subgroups of women with different levels of coping resources. Utilizing the All Our Babies (AOB) study, an ongoing prospective pregnancy cohort study in Alberta, Canada (n = 3,021), multinomial logistic regression was adopted to examine the independent effect of cumulative psychosocial stress and preterm birth subgroups compared to term births. Stratified analyses according to categories of perceived social support and optimism were undertaken to examine differential effects among subgroups of women. Cumulative psychosocial stress was a statistically significant risk factor for late preterm birth (OR = 1.73; 95 % CI = 1.07, 2.81), but not for early preterm birth (OR = 2.44; 95 % CI = 0.95, 6.32), controlling for income, history of preterm birth, pregnancy complications, reproductive history, and smoking in pregnancy. Stratified analyses showed that cumulative psychosocial stress was a significant risk factor for preterm birth at <37 weeks gestation for women with low levels of social support (OR = 2.09; 95 % CI = 1.07, 4.07) or optimism (OR = 1.87; 95 % CI = 1.04, 3.37). Our analyses suggest that early vulnerability combined with current anxiety symptoms in pregnancy confers risk for preterm birth. Coping resources may mitigate the effect of cumulative psychosocial stress on the risk for early delivery.
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Affiliation(s)
- Sheila W McDonald
- Department of Paediatrics, University of Calgary, Calgary, AB, Canada,
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50
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Cabaj JL, McDonald SW, Tough SC. Early childhood risk and resilience factors for behavioural and emotional problems in middle childhood. BMC Pediatr 2014; 14:166. [PMID: 24986740 PMCID: PMC4083129 DOI: 10.1186/1471-2431-14-166] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/05/2013] [Accepted: 06/25/2014] [Indexed: 11/27/2022] Open
Abstract
BACKGROUND Mental disorders in childhood have a considerable health and societal impact but the associated negative consequences may be ameliorated through early identification of risk and protective factors that can guide health promoting and preventive interventions. The objective of this study was to inform health policy and practice through identification of demographic, familial and environmental factors associated with emotional or behavioural problems in middle childhood, and the predictors of resilience in the presence of identified risk factors. METHODS A cohort of 706 mothers followed from early pregnancy was surveyed at six to eight years post-partum by a mail-out questionnaire, which included questions on demographics, children's health, development, activities, media and technology, family, friends, community, school life, and mother's health. RESULTS Although most children do well in middle childhood, of 450 respondents (64% response rate), 29.5% and 25.6% of children were found to have internalising and externalising behaviour problem scores in the lowest quintile on the NSCLY Child Behaviour Scales. Independent predictors for problem behaviours identified through multivariable logistic regression modelling included being male, demographic risk, maternal mental health risk, poor parenting interactions, and low parenting morale. Among children at high risk for behaviour problems, protective factors included high maternal and child self-esteem, good maternal emotional health, adequate social support, good academic performance, and adequate quality parenting time. CONCLUSIONS These findings demonstrate that several individual and social resilience factors can counter the influence of early adversities on the likelihood of developing problem behaviours in middle childhood, thus informing enhanced public health interventions for this understudied life course phase.
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Affiliation(s)
- Jason L Cabaj
- Department of Community Health Sciences, University of Calgary, Calgary, Alberta, Canada
| | - Sheila W McDonald
- Department of Pediatrics, University of Calgary, Calgary, Alberta, Canada
| | - Suzanne C Tough
- Department of Community Health Sciences, University of Calgary, Calgary, Alberta, Canada
- Department of Pediatrics, University of Calgary, Calgary, Alberta, Canada
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