1
|
Teede HJ, Neven ACH, Pena A. Evolution of evidence-based diagnostic criteria in adolescents with polycystic ovary syndrome. Hum Reprod 2024; 39:876-877. [PMID: 38514447 DOI: 10.1093/humrep/deae050] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2024] [Indexed: 03/23/2024] Open
Affiliation(s)
- H J Teede
- Monash Centre for Health Research and Implementation, Monash University, Melbourne, VIC, Australia
| | - A C H Neven
- Monash Centre for Health Research and Implementation, Monash University, Melbourne, VIC, Australia
| | - A Pena
- Discipline of Paediatrics, The University of Adelaide Robinson Research Institute, North Adelaide, SA, Australia
| |
Collapse
|
2
|
Tiruneh SA, Vu TTT, Moran LJ, Callander EJ, Allotey J, Thangaratinam S, Rolnik DL, Teede HJ, Wang R, Enticott J. Externally validated prediction models for pre-eclampsia: systematic review and meta-analysis. Ultrasound Obstet Gynecol 2024; 63:592-604. [PMID: 37724649 DOI: 10.1002/uog.27490] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/12/2023] [Revised: 08/29/2023] [Accepted: 09/08/2023] [Indexed: 09/21/2023]
Abstract
OBJECTIVE This systematic review and meta-analysis aimed to evaluate the performance of existing externally validated prediction models for pre-eclampsia (PE) (specifically, any-onset, early-onset, late-onset and preterm PE). METHODS A systematic search was conducted in five databases (MEDLINE, EMBASE, Emcare, CINAHL and Maternity & Infant Care Database) and using Google Scholar/reference search to identify studies based on the Population, Index prediction model, Comparator, Outcome, Timing and Setting (PICOTS) approach until 20 May 2023. We extracted data using the CHARMS checklist and appraised the risk of bias using the PROBAST tool. A meta-analysis of discrimination and calibration performance was conducted when appropriate. RESULTS Twenty-three studies reported 52 externally validated prediction models for PE (one preterm, 20 any-onset, 17 early-onset and 14 late-onset PE models). No model had the same set of predictors. Fifteen any-onset PE models were validated externally once, two were validated twice and three were validated three times, while the Fetal Medicine Foundation (FMF) competing-risks model for preterm PE prediction was validated widely in 16 different settings. The most common predictors were maternal characteristics (prepregnancy body mass index, prior PE, family history of PE, chronic medical conditions and ethnicity) and biomarkers (uterine artery pulsatility index and pregnancy-associated plasma protein-A). The FMF model for preterm PE (triple test plus maternal factors) had the best performance, with a pooled area under the receiver-operating-characteristics curve (AUC) of 0.90 (95% prediction interval (PI), 0.76-0.96), and was well calibrated. The other models generally had poor-to-good discrimination performance (median AUC, 0.66 (range, 0.53-0.77)) and were overfitted on external validation. Apart from the FMF model, only two models that were validated multiple times for any-onset PE prediction, which were based on maternal characteristics only, produced reasonable pooled AUCs of 0.71 (95% PI, 0.66-0.76) and 0.73 (95% PI, 0.55-0.86). CONCLUSIONS Existing externally validated prediction models for any-, early- and late-onset PE have limited discrimination and calibration performance, and include inconsistent input variables. The triple-test FMF model had outstanding discrimination performance in predicting preterm PE in numerous settings, but the inclusion of specialized biomarkers may limit feasibility and implementation outside of high-resource settings. © 2023 The Authors. Ultrasound in Obstetrics & Gynecology published by John Wiley & Sons Ltd on behalf of International Society of Ultrasound in Obstetrics and Gynecology.
Collapse
Affiliation(s)
- S A Tiruneh
- Monash Centre for Health Research and Implementation, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, VIC, Australia
| | - T T T Vu
- Monash Centre for Health Research and Implementation, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, VIC, Australia
| | - L J Moran
- Monash Centre for Health Research and Implementation, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, VIC, Australia
| | - E J Callander
- Monash Centre for Health Research and Implementation, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, VIC, Australia
- School of Public Health, Faculty of Health, University of Technology Sydney, Sydney, NSW, Australia
| | - J Allotey
- World Health Organization (WHO) Collaborating Centre for Global Women's Health, Institute of Metabolism and Systems Research, University of Birmingham, Birmingham, UK
- NIHR Birmingham Biomedical Research Centre, University Hospitals Birmingham NHS Foundation Trust and University of Birmingham, Birmingham, UK
| | - S Thangaratinam
- World Health Organization (WHO) Collaborating Centre for Global Women's Health, Institute of Metabolism and Systems Research, University of Birmingham, Birmingham, UK
- NIHR Birmingham Biomedical Research Centre, University Hospitals Birmingham NHS Foundation Trust and University of Birmingham, Birmingham, UK
- Birmingham Women's and Children's NHS Foundation Trust, Birmingham, UK
| | - D L Rolnik
- Department of Obstetrics and Gynaecology, Monash University, Clayton, VIC, Australia
| | - H J Teede
- Monash Centre for Health Research and Implementation, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, VIC, Australia
| | - R Wang
- Department of Obstetrics and Gynaecology, Monash University, Clayton, VIC, Australia
| | - J Enticott
- Monash Centre for Health Research and Implementation, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, VIC, Australia
| |
Collapse
|
3
|
Norman RJ, Morman R, Teede HJ. Reply of the Authors: Adolescent PCOS: a Postpubertal Central Obesity Syndrome. Fertil Steril 2023:S0015-0282(23)00314-X. [PMID: 37105455 DOI: 10.1016/j.fertnstert.2023.04.029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2023] [Accepted: 04/19/2023] [Indexed: 04/29/2023]
|
4
|
Thong EP, Milat F, Enticott JC, Joham AE, Ebeling PR, Mishra GD, Teede HJ. The diabetes-fracture association in women with type 1 and type 2 diabetes is partially mediated by falls: a 15-year longitudinal study. Osteoporos Int 2021; 32:1175-1184. [PMID: 33411006 DOI: 10.1007/s00198-020-05771-9] [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] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/21/2020] [Accepted: 12/01/2020] [Indexed: 12/25/2022]
Abstract
UNLABELLED This study evaluated mediators of fracture risk in postmenopausal women with type 1 (T1D) and type 2 diabetes (T2D), over a 15-year follow-up period. This study provides evidence that the increased fracture risk in women with T1D or T2D is partially explained by falls. Furthermore, a shorter reproductive lifespan in women with T1D contributes modestly to fracture risk in this cohort. PURPOSE Skeletal fragility is associated with diabetes mellitus, while limited estrogen exposure during the reproductive years also predisposes to lower bone mass and higher fracture risk. We aimed to determine osteoporosis diagnosis, fall and fracture rates in women with type 1 (T1D) and type 2 (T2D) diabetes mellitus, and explore mediators of the diabetes-fracture relationship. METHODS Prospective observational data drawn from the Australian Longitudinal Study in Women's Health (ALSWH) from 1996 to 2010. Women were randomly selected from the national health insurance database. Standardized data collection occurred at six survey time points, with main outcome measures being self-reported osteoporosis, incident fracture, falls, and reproductive lifespan. Mediation analyses were performed to elucidate relevant intermediaries in the diabetes-fracture relationship. RESULTS Exactly 11,313 women were included at baseline (T1D, n = 107; T2D, n = 333; controls, n = 10,873). A total of 885 new cases of osteoporosis and 1099 incident fractures were reported over 15 years. Women with T1D or T2D reported more falls and fall-related injuries; additionally, women with T1D had a shorter reproductive lifespan. While fracture risk was increased in women with diabetes (T1D: OR 2.28, 95% CI 1.53-3.40; T2D: OR 2.40, 95% CI 1.90-3.03), compared with controls, adjustment for falls attenuated the risk of fracture by 10% and 6% in T1D and T2D, respectively. In women with T1D, reproductive lifespan modestly attenuated fracture risk by 4%. CONCLUSION Women with T1D and T2D have an increased risk of fracture, which may be partially explained by increased falls, and to a lesser extent by shorter reproductive lifespan, in T1D.
Collapse
Affiliation(s)
- E P Thong
- Departments of Endocrinology & Diabetes, Monash Health, Clayton, Victoria, Australia
- Monash Centre for Health Research and Implementation, School of Public Health and Preventative Medicine, Monash University, Clayton, Victoria, Australia
| | - F Milat
- Monash Centre for Health Research and Implementation, School of Public Health and Preventative Medicine, Monash University, Clayton, Victoria, Australia
- Hudson Institute of Medical Research, Clayton, Victoria, Australia
| | - J C Enticott
- Monash Centre for Health Research and Implementation, School of Public Health and Preventative Medicine, Monash University, Clayton, Victoria, Australia
| | - A E Joham
- Departments of Endocrinology & Diabetes, Monash Health, Clayton, Victoria, Australia
- Monash Centre for Health Research and Implementation, School of Public Health and Preventative Medicine, Monash University, Clayton, Victoria, Australia
| | - P R Ebeling
- Departments of Endocrinology & Diabetes, Monash Health, Clayton, Victoria, Australia
- Department of Medicine, School of Clinical Sciences, Monash University, Melbourne, Victoria, Australia
| | - G D Mishra
- Centre for Longitudinal and Life Course Research, School of Public Health, University of Queensland, St Lucia, Queensland, Australia
| | - H J Teede
- Departments of Endocrinology & Diabetes, Monash Health, Clayton, Victoria, Australia.
- Monash Centre for Health Research and Implementation, School of Public Health and Preventative Medicine, Monash University, Clayton, Victoria, Australia.
| |
Collapse
|
5
|
Affiliation(s)
- S D Cooray
- Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Melbourne, Vic., Australia.,Diabetes and Endocrinology Units, Monash Health, Clayton, Vic., Australia
| | - S Thangaratinam
- Institute of Metabolism and Systems Research, University of Birmingham, Birmingham, UK
| | - H J Teede
- Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Melbourne, Vic., Australia.,Diabetes and Endocrinology Units, Monash Health, Clayton, Vic., Australia
| |
Collapse
|
6
|
Stepto NK, Hiam D, Gibson-Helm M, Cassar S, Harrison CL, Hutchison SK, Joham AE, Canny BJ, Moreno-Asso A, Strauss BJ, Hatzirodos N, Rodgers RJ, Teede HJ. Exercise and insulin resistance in PCOS: muscle insulin signalling and fibrosis. Endocr Connect 2020; 9:346-359. [PMID: 32229703 PMCID: PMC7219141 DOI: 10.1530/ec-19-0551] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [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: 02/27/2020] [Accepted: 03/31/2020] [Indexed: 12/05/2022]
Abstract
OBJECTIVE Mechanisms of insulin resistance in polycystic ovary syndrome (PCOS) remain ill defined, contributing to sub-optimal therapies. Recognising skeletal muscle plays a key role in glucose homeostasis we investigated early insulin signalling, its association with aberrant transforming growth factor β (TGFβ)-regulated tissue fibrosis. We also explored the impact of aerobic exercise on these molecular pathways. METHODS A secondary analysis from a cross-sectional study was undertaken in women with (n = 30) or without (n = 29) PCOS across lean and overweight BMIs. A subset of participants with (n = 8) or without (n = 8) PCOS who were overweight completed 12 weeks of aerobic exercise training. Muscle was sampled before and 30 min into a euglycaemic-hyperinsulinaemic clamp pre and post training. RESULTS We found reduced signalling in PCOS of mechanistic target of rapamycin (mTOR). Exercise training augmented but did not completely rescue this signalling defect in women with PCOS. Genes in the TGFβ signalling network were upregulated in skeletal muscle in the overweight women with PCOS but were unresponsive to exercise training except for genes encoding LOX, collagen 1 and 3. CONCLUSIONS We provide new insights into defects in early insulin signalling, tissue fibrosis, and hyperandrogenism in PCOS-specific insulin resistance in lean and overweight women. PCOS-specific insulin signalling defects were isolated to mTOR, while gene expression implicated TGFβ ligand regulating a fibrosis in the PCOS-obesity synergy in insulin resistance and altered responses to exercise. Interestingly, there was little evidence for hyperandrogenism as a mechanism for insulin resistance.
Collapse
Affiliation(s)
- N K Stepto
- Institute for Health and Sport, Victoria University, Melbourne, Victoria, Australia
- Monash Centre for Health Research and Implementation, Monash University, Clayton, Victoria, Australia
- Australian Institute for Musculoskeletal Science, Victoria University, Melbourne, Victoria, Australia
- Medicine-Western Health, Faculty of Medicine, Dentistry and Health Science, Melbourne University, Melbourne, Victoria, Australia
| | - D Hiam
- Institute for Health and Sport, Victoria University, Melbourne, Victoria, Australia
- Correspondence should be addressed to D Hiam:
| | - M Gibson-Helm
- Monash Centre for Health Research and Implementation, Monash University, Clayton, Victoria, Australia
| | - S Cassar
- Institute for Health and Sport, Victoria University, Melbourne, Victoria, Australia
| | - C L Harrison
- Monash Centre for Health Research and Implementation, Monash University, Clayton, Victoria, Australia
| | - S K Hutchison
- Monash Centre for Health Research and Implementation, Monash University, Clayton, Victoria, Australia
| | - A E Joham
- Monash Centre for Health Research and Implementation, Monash University, Clayton, Victoria, Australia
| | - B J Canny
- School of Medicine, University of Tasmania, Hobart, Tasmania, Australia
| | - A Moreno-Asso
- Institute for Health and Sport, Victoria University, Melbourne, Victoria, Australia
- Australian Institute for Musculoskeletal Science, Victoria University, Melbourne, Victoria, Australia
| | - B J Strauss
- Department of Medicine, School of Clinical Sciences, Monash University, Clayton, Victoria, Australia
- Division of Diabetes, Endocrinology & Gastroenterology, School of Medical Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK
| | - N Hatzirodos
- The Robinson Research Institute, School of Medicine, The University of Adelaide, Adelaide, Australia
| | - R J Rodgers
- The Robinson Research Institute, School of Medicine, The University of Adelaide, Adelaide, Australia
| | - H J Teede
- Monash Centre for Health Research and Implementation, Monash University, Clayton, Victoria, Australia
- Diabetes and Endocrine Units, Monash Health, Clayton, Victoria, Australia
| |
Collapse
|
7
|
Lim SS, Kakoly NS, Tan JWJ, Fitzgerald G, Bahri Khomami M, Joham AE, Cooray SD, Misso ML, Norman RJ, Harrison CL, Ranasinha S, Teede HJ, Moran LJ. Metabolic syndrome in polycystic ovary syndrome: a systematic review, meta-analysis and meta-regression. Obes Rev 2019; 20:339-352. [PMID: 30339316 DOI: 10.1111/obr.12762] [Citation(s) in RCA: 123] [Impact Index Per Article: 24.6] [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: 12/17/2017] [Revised: 03/25/2018] [Accepted: 03/30/2018] [Indexed: 01/08/2023]
Abstract
Women with polycystic ovary syndrome (PCOS) have increased risk of metabolic syndrome. The relative contribution of clinical, demographic or biochemical factors to metabolic syndrome in PCOS is not known. A literature search was conducted in MEDLINE, CINAHL, EMBASE and clinical trial registries. Of 4530 studies reviewed, 59 were included in the systematic review and 27 in the meta-analysis and meta-regression. In good and fair quality studies, women with PCOS had an overall increased prevalence of metabolic syndrome (odds ratio, OR 3.35, 95% confidence interval, CI 2.44, 4.59). Increased prevalence of metabolic syndrome occurred in overweight or obese women with PCOS (OR 1.88, 95% 1.16, 3.04) but not in lean women (OR 1.45, 95% CI 0.35, 6.12). In meta-regression analyses, the markers of metabolic syndrome diagnostic criteria (waist circumference, high-density lipoprotein cholesterol, triglyceride, blood pressure), BMI, glucose tolerance (2-hr oral glucose tolerance test) and surrogate markers of insulin resistance (HOMA-IR) but not markers of reproductive dysfunction (sex hormone binding globulin, testosterone, PCOS phenotypes) contributed significantly to the heterogeneity in the prevalence of metabolic syndrome. Women with PCOS have increased risk of metabolic syndrome which was associated with obesity and metabolic features but not with indices of hyperandrogenism.
Collapse
Affiliation(s)
- S S Lim
- Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - N S Kakoly
- Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - J W J Tan
- Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - G Fitzgerald
- Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - M Bahri Khomami
- Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - A E Joham
- Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.,Diabetes and Vascular Medicine Unit, Monash Health, Clayton, Victoria, Australia
| | - S D Cooray
- Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.,Diabetes and Vascular Medicine Unit, Monash Health, Clayton, Victoria, Australia
| | - M L Misso
- Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - R J Norman
- Robinson Research Institute, University of Adelaide and Fertility SA, Adelaide, South Australia, Australia
| | - C L Harrison
- Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - S Ranasinha
- Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - H J Teede
- Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.,Diabetes and Vascular Medicine Unit, Monash Health, Clayton, Victoria, Australia.,Monash Partners Academic Health Sciences Centre, Melbourne, Victoria, Australia
| | - L J Moran
- Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.,Robinson Research Institute, University of Adelaide and Fertility SA, Adelaide, South Australia, Australia
| |
Collapse
|
8
|
Gupta Y, Kapoor D, Josyula LK, Praveen D, Naheed A, Desai AK, Pathmeswaran A, de Silva HA, Lombard CB, Shamsul Alam D, Prabhakaran D, Teede HJ, Billot L, Bhatla N, Joshi R, Zoungas S, Jan S, Patel A, Tandon N. A lifestyle intervention programme for the prevention of Type 2 diabetes mellitus among South Asian women with gestational diabetes mellitus [LIVING study]: protocol for a randomized trial. Diabet Med 2019; 36:243-251. [PMID: 30368898 DOI: 10.1111/dme.13850] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [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] [Accepted: 10/25/2018] [Indexed: 01/05/2023]
Abstract
AIM This study aims to determine whether a resource- and culturally appropriate lifestyle intervention programme in South Asian countries, provided to women with gestational diabetes (GDM) after childbirth, will reduce the incidence of worsening of glycaemic status in a manner that is affordable, acceptable and scalable. METHODS Women with GDM (diagnosed by oral glucose tolerance test using the International Association of the Diabetes and Pregnancy Study Groups criteria) will be recruited from 16 hospitals in India, Sri Lanka and Bangladesh. Participants will undergo a repeat oral glucose tolerance test at 6 ± 3 months postpartum and those without Type 2 diabetes, a total sample size of 1414, will be randomly allocated to the intervention or usual care. The intervention will consist of four group sessions, 84 SMS or voice messages and review phone calls over the first year. Participants requiring intensification of the intervention will receive two additional individual sessions over the latter half of the first year. Median follow-up will be 2 years. The primary outcome is the proportion of women with a change in glycaemic category, using the American Diabetes Association criteria: (i) normal glucose tolerance to impaired fasting glucose, or impaired glucose tolerance, or Type 2 diabetes; or (ii) impaired fasting glucose or impaired glucose tolerance to Type 2 diabetes. Process evaluation will explore barriers and facilitators of implementation of the intervention in each local context, while trial-based and modelled economic evaluations will assess cost-effectiveness. DISCUSSION The study will generate important new evidence about a potential strategy to address the long-term sequelae of GDM, a major and growing problem among women in South Asia. (Clinical Trials Registry of India No: CTRI/2017/06/008744; Sri Lanka Clinical Trials Registry No: SLCTR/2017/001; and ClinicalTrials.gov Identifier No: NCT03305939).
Collapse
Affiliation(s)
- Y Gupta
- Department of Endocrinology & Metabolism, All India Institute of Medical Sciences, New Delhi, India
| | - D Kapoor
- Department of Endocrinology & Metabolism, All India Institute of Medical Sciences, New Delhi, India
| | - L K Josyula
- The George Institute for Global Health, Hyderabad, India
- The George Institute for Global Health, University of New South Wales, Sydney, Australia
| | - D Praveen
- The George Institute for Global Health, Hyderabad, India
- The George Institute for Global Health, University of New South Wales, Sydney, Australia
| | - A Naheed
- Initiative for Noncommunicable Diseases, Health Systems and Population Studies Division, icddr,b, Dhaka, Bangladesh
| | - A K Desai
- Department of Medicine, Goa Medical College and Hospital, Bambolim, Goa, India
| | - A Pathmeswaran
- Department ofPublic Health, University of Kelaniya, Ragama, Sri Lanka
| | - H A de Silva
- Department of Pharmacology, Faculty of Medicine, University of Kelaniya, Ragama, Sri Lanka
| | - C B Lombard
- Department of Nutrition and Dietetics, Monash University, Melbourne, Australia
| | - D Shamsul Alam
- Faculty of Health, School of Kinesiology and Health Science, York University, Toronto, Canada
| | | | - H J Teede
- Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - L Billot
- The George Institute for Global Health, University of New South Wales, Sydney, Australia
| | - N Bhatla
- Department of Obstetrics & Gynaecology, All India Institute of Medical Sciences, New Delhi, India
| | - R Joshi
- The George Institute for Global Health, University of New South Wales, Sydney, Australia
| | - S Zoungas
- Division of Metabolism, Ageing and Genomics, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - S Jan
- The George Institute for Global Health, University of New South Wales, Sydney, Australia
| | - A Patel
- The George Institute for Global Health, University of New South Wales, Sydney, Australia
| | - N Tandon
- Department of Endocrinology & Metabolism, All India Institute of Medical Sciences, New Delhi, India
| |
Collapse
|
9
|
Abell SK, Boyle JA, Earnest A, England P, Nankervis A, Ranasinha S, Soldatos G, Wallace EM, Zoungas S, J Teede H. Impact of different glycaemic treatment targets on pregnancy outcomes in gestational diabetes. Diabet Med 2019; 36:177-183. [PMID: 30102812 DOI: 10.1111/dme.13799] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [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] [Accepted: 08/09/2018] [Indexed: 11/27/2022]
Abstract
AIM With no current randomized trials, we explored the impact of tight compared with standard treatment targets on pregnancy outcomes in gestational diabetes mellitus (GDM). METHODS This cohort study of singleton births ≥ 28 weeks' gestation was conducted at two major Australian maternity services (2009-2013). Standardized maternal, neonatal and birth outcomes were examined using routine healthcare data and compared for women with GDM at Service One (n = 2885) and Service Two (n = 1887). Services applied different treatment targets: Service One (standard targets, reference group) fasting < 5.5 mmol/l, 2-h postprandial < 7.0 mmol/l; Service Two (tight targets) fasting < 5.0 mmol/l, 2-h postprandial < 6.7 mmol/l. Multivariable regression with propensity score adjustment was used to examine associations between targets and outcomes. RESULTS GDM prevalence and insulin use were 7.9% and 31% at Service One, and 5.7% and 46% at Service Two. There were no differences in primary outcomes: birthweight > 90th centile [adjusted odds ratio (OR) 1.06, 95% confidence interval (CI) 0.87-1.30] and < 10th centile (OR 0.84, 95% CI 0.70-1.01), or secondary outcomes gestational hypertension, pre-eclampsia, shoulder dystocia or a perinatal composite. Service Two with tight targets had increased induction of labour (OR 3.63, 95% CI 3.17-4.16), elective Caesarean section (OR 1.75, 95% CI 1.37-2.23) and Apgar scores < 7 at 5 min (OR 1.54, 95% CI 1.05-2.25), decreased hypoglycaemia (OR 0.76, 95% CI 0.61-0.94]), jaundice (OR 0.47, 95% CI 0.35-0.63) and respiratory distress (OR 0.68, 95% CI 0.47-0.98). CONCLUSIONS Tight GDM treatment targets were associated with greater insulin use and no difference in primary birthweight outcomes. The service with tight targets had higher obstetric intervention, lower rates of reported hypoglycaemia, jaundice, respiratory distress and lower Apgar scores. High-quality interventional data are required before tight treatment targets can be implemented.
Collapse
Affiliation(s)
- S K Abell
- Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Melbourne, Vic., Australia
- Diabetes and Vascular Medicine Unit, Monash Health, Melbourne, Vic., Australia
| | - J A Boyle
- Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Melbourne, Vic., Australia
- Monash Women's Services, Monash Health, Melbourne, Vic., Australia
| | - A Earnest
- Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Melbourne, Vic., Australia
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Vic., Australia
| | - P England
- Department of Obstetrics and Gynaecology, Royal Women's Hospital, Melbourne, Vic., Australia
| | - A Nankervis
- Diabetes Unit, Royal Women's Hospital, Melbourne, Vic., Australia
| | - S Ranasinha
- Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Melbourne, Vic., Australia
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Vic., Australia
| | - G Soldatos
- Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Melbourne, Vic., Australia
- Diabetes and Vascular Medicine Unit, Monash Health, Melbourne, Vic., Australia
| | - E M Wallace
- Monash Women's Services, Monash Health, Melbourne, Vic., Australia
- The Ritchie Centre, Department of Obstetrics and Gynaecology, Monash University, Melbourne, Vic., Australia
| | - S Zoungas
- Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Melbourne, Vic., Australia
- Diabetes and Vascular Medicine Unit, Monash Health, Melbourne, Vic., Australia
| | - H J Teede
- Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Melbourne, Vic., Australia
- Diabetes and Vascular Medicine Unit, Monash Health, Melbourne, Vic., Australia
| |
Collapse
|
10
|
Kakoly NS, Khomami MB, Joham AE, Cooray SD, Misso ML, Norman RJ, Harrison CL, Ranasinha S, Teede HJ, Moran LJ. Ethnicity, obesity and the prevalence of impaired glucose tolerance and type 2 diabetes in PCOS: a systematic review and meta-regression. Hum Reprod Update 2019; 24:455-467. [PMID: 29590375 DOI: 10.1093/humupd/dmy007] [Citation(s) in RCA: 193] [Impact Index Per Article: 38.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2017] [Accepted: 03/12/2018] [Indexed: 12/23/2022] Open
Abstract
BACKGROUND Our prior meta-analyses demonstrated an increased prevalence of impaired glucose tolerance (IGT) and type 2 diabetes mellitus (T2DM) with polycystic ovary syndrome (PCOS), but with substantial clinical heterogeneity. OBJECTIVE AND RATIONALE We aimed to update our previous review to quantify the prevalence of IGT and T2DM in PCOS with only quality studies (good and fair quality). We also aimed to examine the contribution of parameters including ethnicity, obesity and method of diagnosing T2DM in explaining the observed heterogeneity in IGT and T2DM prevalence in PCOS. SEARCH METHODS We conducted a literature search (MEDLINE, CINAHL, EMBASE, clinical trial registries and hand-searching) up to June 2016 to identify studies reporting the prevalence of dysglycemia (IGT and T2DM) in women with and without PCOS. We included studies where women with PCOS (defined according to original National Institute of Health) were compared to women without PCOS for the end-points of the prevalence of IGT or T2DM. We excluded case reports, case series, editorials, and narrative reviews. Studies where PCOS was diagnosed by self-report, or where IGT or T2DM were measured by fasting glucose, only were excluded. We assessed the methodological quality of the included studies using a priori criteria based on the Newcastle-Ottawa Scaling (NOS) for non-randomized studies. Data are presented as odds ratio (OR) (95% CI) with random-effects meta-analysis by Mantel-Haenszel methods. We assessed the contribution of demographic and clinical factors to heterogeneity using subgroup and meta-regression analysis. OUTCOMES We reviewed 4530 studies and included 40 eligible studies in the final analysis. On meta-analysis of quality studies, women with PCOS had an increased prevalence of IGT (OR = 3.26, 95% CI: 2.17-4.90) and T2DM (OR = 2.87, 95% CI: 1.44-5.72), which differed by ethnicity (for IGT, Asia: 5-fold, the Americas: 4-fold and Europe: 3-fold), was higher with obesity, and doubled among studies using self-report or administrative data for diagnosing diabetes. The ethnicity-related difference retained its significance for Asia and Europe in BMI-matched subgroups. Clear contributors to heterogeneity did not emerge in meta-regression. WIDER IMPLICATIONS Our findings underscore the importance of PCOS as a cause of dysglycemia with a higher prevalence of IGT and T2DM. They support the relevance of ethnicity and obesity and emphasize the need for accurate diagnostic methods for diabetes. PROSPERO REGISTRATION NUMBER CRD42017056524.
Collapse
Affiliation(s)
- N S Kakoly
- The Department of Epidemiology and Preventive Medicine, Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - M B Khomami
- The Department of Epidemiology and Preventive Medicine, Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - A E Joham
- The Department of Epidemiology and Preventive Medicine, Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.,Diabetes and Vascular Medicine Unit, Monash Health, Clayton, Victoria, Australia
| | - S D Cooray
- The Department of Epidemiology and Preventive Medicine, Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - M L Misso
- The Department of Epidemiology and Preventive Medicine, Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - R J Norman
- The Robinson Research Institute, Discipline of Obstetrics and Gynaecology, University of Adelaide and Fertility, Adelaide SA, Australia
| | - C L Harrison
- The Department of Epidemiology and Preventive Medicine, Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - S Ranasinha
- The Department of Epidemiology and Preventive Medicine, Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - H J Teede
- The Department of Epidemiology and Preventive Medicine, Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.,Diabetes and Vascular Medicine Unit, Monash Health, Clayton, Victoria, Australia.,Monash Partners Academic Health Sciences Centre, PO Box 315, Prahran, Melbourne, Victoria, Australia
| | - L J Moran
- The Department of Epidemiology and Preventive Medicine, Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.,The Robinson Research Institute, Discipline of Obstetrics and Gynaecology, University of Adelaide and Fertility, Adelaide SA, Australia
| |
Collapse
|
11
|
Costello MF, Misso ML, Balen A, Boyle J, Devoto L, Garad RM, Hart R, Johnson L, Jordan C, Legro RS, Norman RJ, Mocanu E, Qiao J, Rodgers RJ, Rombauts L, Tassone EC, Thangaratinam S, Vanky E, Teede HJ. Evidence summaries and recommendations from the international evidence-based guideline for the assessment and management of polycystic ovary syndrome: assessment and treatment of infertility. Hum Reprod Open 2019; 2019:hoy021. [PMID: 31486807 PMCID: PMC6396642 DOI: 10.1093/hropen/hoy021] [Citation(s) in RCA: 54] [Impact Index Per Article: 10.8] [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: 09/09/2018] [Accepted: 12/13/2018] [Indexed: 12/12/2022] Open
Abstract
STUDY QUESTION What is the recommended assessment and management of infertile women with polycystic ovary syndrome (PCOS), based on the best available evidence, clinical expertize and consumer preference? SUMMARY ANSWER International evidence-based guidelines, including 44 recommendations and practice points, addressed prioritized questions to promote consistent, evidence-based care and improve the experience and health outcomes of infertile women with PCOS. WHAT IS KNOWN ALREADY Previous guidelines on PCOS lacked rigorous evidence-based processes, failed to engage consumer and multidisciplinary perspectives or were outdated. The assessment and management of infertile women with PCOS are inconsistent. The needs of women with PCOS are not being adequately met and evidence practice gaps persist. PARTICIPANTS/MATERIALS, SETTING, METHODS Governance included a six continent international advisory and a project board, a multidisciplinary international guideline development group (GDG), consumer and translation committees. Extensive health professional and consumer engagement informed the guideline scope and priorities. The engaged international society-nominated panel included endocrinology, gynaecology, reproductive endocrinology, obstetrics, public health and other experts, alongside consumers, project management, evidence synthesis and translation experts. Thirty-seven societies and organizations covering 71 countries engaged in the process. Extensive online communication and two face-to-face meetings over 15 months addressed 19 prioritized clinical questions involving nine evidence-based reviews and 10 narrative reviews. Evidence-based recommendations (EBRs) were formulated prior to consensus voting within the guideline panel. STUDY DESIGN, SIZE, DURATION International evidence-based guideline development engaged professional societies and consumer organizations with multidisciplinary experts and women with PCOS directly involved at all stages. A (AGREE) II-compliant processes were followed, with extensive evidence synthesis. The Grading of Recommendations, Assessment, Development, and Evaluation (GRADE) framework was applied across evidence quality, desirable and undesirable consequences, feasibility, acceptability, cost, implementation and ultimately recommendation strength. The guideline was peer-reviewed by special interest groups across our partner and collaborating societies and consumer organizations, was independently assessed against AGREE II criteria and underwent methodological review. This guideline was approved by all members of the GDG and has been approved by the NHMRC. MAIN RESULTS AND THE ROLE OF CHANCE The quality of evidence (QOE) for the EBRs in the assessment and management of infertility in PCOS included very low (n = 1), low (n = 9) and moderate (n = 4) quality with no EBRs based on high-quality evidence. The guideline provides 14 EBRs, 10 clinical consensus recommendations (CCRs) and 20 clinical practice points on the assessment and management of infertility in PCOS. Key changes in this guideline include emphasizing evidence-based fertility therapy, including cheaper and safer fertility management. LIMITATIONS, REASONS FOR CAUTION Overall evidence is generally of low to moderate quality, requiring significantly greater research in this neglected, yet common condition. Regional health systems vary and a process for adaptation of this guideline is provided. WIDER IMPLICATIONS OF THE FINDINGS The international guideline for the assessment and management of infertility in PCOS provides clinicians with clear advice on best practice based on the best available evidence, expert multidisciplinary input and consumer preferences. Research recommendations have been generated and a comprehensive multifaceted dissemination and translation program supports the guideline with an integrated evaluation program. STUDY FUNDING/COMPETING INTEREST(S) The guideline was primarily funded by the Australian National Health and Medical Research Council of Australia (NHMRC) supported by a partnership with ESHRE and the American Society for Reproductive Medicine (ASRM). GDG members did not receive payment. Travel expenses were covered by the sponsoring organizations. Disclosures of conflicts of interest were declared at the outset and updated throughout the guideline process, aligned with NHMRC guideline processes. Dr Costello has declared shares in Virtus Health and past sponsorship from Merck Serono for conference presentations. Prof. Norman has declared a minor shareholder interest in the IVF unit Fertility SA, travel support from Merck and grants from Ferring. Prof. Norman also has scientific advisory board duties for Ferring. The remaining authors have no conflicts of interest to declare. This article was not externally peer-reviewed by Human Reproduction Open.
Collapse
Affiliation(s)
- M F Costello
- School of Women's and Children's Health, University of New South Wales, High St, Kensington, Sydney, New South Wales, Australia
| | - M L Misso
- Monash Centre for Health Research and Implementation, Monash Public Health and Preventive Medicine, Monash University, Clayton, Victoria, Australia.,Monash Health, Clayton, Melbourne, Australia
| | - A Balen
- Reproductive Medicine and Surgery, Leeds Centre for Reproductive Medicine, Leeds Teaching Hospitals, Leeds, UK
| | - J Boyle
- Monash Centre for Health Research and Implementation, Monash Public Health and Preventive Medicine, Monash University, Clayton, Victoria, Australia.,Monash Health, Clayton, Melbourne, Australia
| | - L Devoto
- Department of Obstetrics and Gynecology, Faculty of Medicine, University of Chile, Santiago, Chile
| | - R M Garad
- Monash Health, Clayton, Melbourne, Australia.,National Health and Medical Research Council Centre for Research Excellence in PCOS, Monash Centre for Health Research and Implementation, Monash Public Health and Preventive Medicine, Monash University, Victoria, Australia
| | - R Hart
- Division of Obstetrics and Gynaecology, University of Western Australia, Crawley, WA, Australia
| | - L Johnson
- Victorian Assisted Reproductive Treatment Authority, Victoria, Australia
| | - C Jordan
- Victorian Assisted Reproductive Treatment Authority, Victoria, Australia.,Genea Hollywood Fertility, 190 Cambridge St, Wembley WA, Australia
| | - R S Legro
- Department of Obstetrics and Gynecology, Penn State University College of Medicine, USA
| | - R J Norman
- National Health and Medical Research Council Centre for Research Excellence in PCOS, Monash University, Melbourne, Victoria, Australia.,Adelaide University, Adelaide, South Australia, Australia
| | - E Mocanu
- Royal College of Surgeons, Rotunda Hospital, 123 St Stephen's Green, Dublin, Ireland
| | - J Qiao
- Peking University Third Hospital, Haidian Qu, Beijing Shi, China
| | - R J Rodgers
- Robinson Research Institute, University of Adelaide and Fertility SA, Adelaide, South Australia, Australia
| | - L Rombauts
- Department of Obstetrics and Gynaecology, Monash University, Clayton, Melbourne, Victoria 3168, Australia
| | - E C Tassone
- Monash Centre for Health Research and Implementation, Monash Public Health and Preventive Medicine, Monash University, Clayton, Victoria, Australia.,Monash Health, Clayton, Melbourne, Australia
| | - S Thangaratinam
- Barts Research Centre for Women's Health (BARC), Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - E Vanky
- Department of Clinical and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, Norway
| | - H J Teede
- Monash Health, Clayton, Melbourne, Australia.,National Health and Medical Research Council Centre for Research Excellence in PCOS, Monash Centre for Health Research and Implementation, Monash Public Health and Preventive Medicine, Monash University, Victoria, Australia
| | | |
Collapse
|
12
|
Kakoly NS, Moran LJ, Teede HJ, Joham AE. Cardiometabolic risks in PCOS: a review of the current state of knowledge. Expert Rev Endocrinol Metab 2019; 14:23-33. [PMID: 30556433 DOI: 10.1080/17446651.2019.1556094] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [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: 08/23/2018] [Accepted: 12/03/2018] [Indexed: 01/03/2023]
Abstract
INTRODUCTION Polycystic ovary syndrome (PCOS) is a common endocrine disorder affecting up to 18% women of reproductive age. It is associated with a range of metabolic, reproductive, and psychological features. Current evidence indicates a role of PCOS in the development of metabolic and increased cardiovascular risk factors (CVRF) with implications for compromised cardiovascular endpoint disease, which may have a considerable impact on health and health care costs. AREAS COVERED Existing studies examining long-term cardiometabolic health in PCOS are heterogeneous with inconsistent findings. In the current review, we aim to explore and critically review retrospective, prospective, meta-analysis and review articles relating to PCOS on cardiometabolic risk factors and clinical consequences to summarize the evidence, note evidence gaps, and suggest implications for future research. EXPERT COMMENTARY Although there is an established association between PCOS and metabolic health, implications on cardiac health are more uncertain with associations observed for CVRF and subclinical disease, yet limited and conflicting data on actual cardiovascular endpoints. There is a lack of population-based long-term studies examining cardiometabolic morbidity and mortality in PCOS with a need for further research to progress toward a better understanding of the long-term cardiometabolic impacts in women with PCOS.
Collapse
Affiliation(s)
- N S Kakoly
- a Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine , Monash University , Melbourne , Australia
| | - L J Moran
- a Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine , Monash University , Melbourne , Australia
| | - H J Teede
- a Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine , Monash University , Melbourne , Australia
- b Endocrine and Diabetes Units , Monash Health , Clayton , Australia
- c Monash Partners Academic Health Sciences Centre , Melbourne , Australia
| | - A E Joham
- a Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine , Monash University , Melbourne , Australia
- b Endocrine and Diabetes Units , Monash Health , Clayton , Australia
| |
Collapse
|
13
|
Lan L, Harrison CL, Misso M, Hill B, Teede HJ, Mol BW, Moran LJ. Systematic review and meta-analysis of the impact of preconception lifestyle interventions on fertility, obstetric, fetal, anthropometric and metabolic outcomes in men and women. Hum Reprod 2018; 32:1925-1940. [PMID: 28854715 DOI: 10.1093/humrep/dex241] [Citation(s) in RCA: 50] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2016] [Accepted: 06/21/2017] [Indexed: 11/14/2022] Open
Abstract
STUDY QUESTION What is the impact of preconception lifestyle interventions on live birth, birth weight and pregnancy rate? SUMMARY ANSWER Lifestyle interventions showed benefits for weight loss and increased natural pregnancy rate, but not for live birth or birth weight. WHAT IS KNOWN ALREADY Evidence on the practice and content of preconception counseling and interventions is variable and limited. STUDY DESIGN, SIZE, DURATION Systematic review and meta-analysis (MA). Main search terms were those related to preconception lifestyle. Database searched were Ovid MEDLINE(R), EBM Reviews, PsycINFO, EMBASE and CINAHL Plus. No language restriction was placed on the published articles. The final search was performed on 10 January 2017. PARTICIPANTS/MATERIALS, SETTING, METHODS Participants were non-pregnant women of childbearing age intent on conceiving or their male partners. Exclusion criteria include participants with BMI < 18 kg/m2, animal trials, hereditary disorder in one or both partners and trials focusing solely on alcohol or smoking cessation/reduction, micronutrient supplementation, or diabetes control. Anthropometric, fertility, obstetric and fetal outcomes were assessed. Bias and quality assessments were performed. MAIN RESULTS AND THE ROLE OF CHANCE The search returned 1802 articles and eight studies were included for analysis. Populations targeted were primarily overweight or obese subfertile women seeking reproductive assistance, with few community-based studies and none including men. MA showed greater reduction in weight (n = 3, P < 0.00001, mean difference: -3.48 kg, 95% CI: -4.29, -2.67, I2 = 0%) and BMI (n = 2, P < 0.00001, mean difference: -1.40 kg/m2, 95% CI: -1.95, -0.84, I2 = 24%) with intervention. The only significant fertility outcome was an increased natural pregnancy rate (n = 2, P = 0.003, odds ratio: 1.87, CI: 1.24, 2.81, I2 = 0%). No differences were observed for ART adverse events, clinical pregnancy, pregnancy complications, delivery complications, live birth, premature birth, birth weight, neonatal mortality or anxiety. Risk of bias were high for three studies, moderate for three studies and low for two studies, Attrition bias was moderate or high in majority of studies. LIMITATIONS, REASONS FOR CAUTION Results were limited to subfertile or infertile women who were overweight or obese undergoing ART with no studies in men. The heterogeneous nature of the interventions in terms of duration and regimen means no conclusions could be made regarding the method or components of optimal lifestyle intervention. Attrition bias itself is an important factor that could affect efficacy of interventions. WIDER IMPLICATIONS OF THE FINDINGS Existing preconception lifestyle interventions primarily targeted overweight and obese subfertile women undergoing ART with a focus on weight loss. It is important to note that natural conception increased with lifestyle intervention. This emphasizes the need for further research exploring optimal components of preconception lifestyle interventions in the broader population and on the optimal nature, intensity and timing of interventions. STUDY FUNDING/COMPETING INTEREST(S) No conflict of interest declared. C.L.H. is a National Heart Foundation Postdoctoral Research Fellow. B.H. is funded by an Alfred Deakin Postdoctoral Research Fellowship. H.J.T. and B.W.M. hold NHMRC Practitioner fellowships. L.J.M. is supported by a SACVRDP Fellowship; a program collaboratively funded by the NHF, the South Australian Department of Health and the South Australian Health and Medical Research Institute. PROSPERO REGISTRATION NUMBER CRD42015023952.
Collapse
Affiliation(s)
- L Lan
- Monash Diabetes, Monash Health, 246 Clayton Road, Clayton VIC 3168, Australia.,Monash Centre for Health Research and Implementation, School of Public Health and Preventative Medicine, Monash University, Locked Bag 29, Clayton VIC 3168, Australia
| | - C L Harrison
- Monash Centre for Health Research and Implementation, School of Public Health and Preventative Medicine, Monash University, Locked Bag 29, ClaytonVIC 3168, Australia
| | - M Misso
- Monash Centre for Health Research and Implementation, School of Public Health and Preventative Medicine, Monash University, Locked Bag 29, ClaytonVIC 3168, Australia
| | - B Hill
- School of Psychology, Deakin University, Geelong, Locked Bag 20000VIC, 3220, Australia
| | - H J Teede
- Monash Diabetes, Monash Health, 246 Clayton Road, Clayton VIC 3168, Australia.,Monash Centre for Health Research and Implementation, School of Public Health and Preventative Medicine, Monash University, Locked Bag 29, Clayton VIC 3168, Australia
| | - B W Mol
- Robinson Research Institute, School of Paediatrics and Reproductive Health, University of Adelaide, 55 King William Street, North Adelaide SA 5006, Australia, Locked Bag 29, ClaytonVIC 3168, Australia
| | - L J Moran
- Monash Centre for Health Research and Implementation, School of Public Health and Preventative Medicine, Monash University, Locked Bag 29, Clayton VIC 3168, Australia.,Robinson Research Institute, School of Paediatrics and Reproductive Health, University of Adelaide, 55 King William Street, North Adelaide SA 5006, Australia, Locked Bag 29, Clayton VIC 3168, Australia
| |
Collapse
|
14
|
Moran LJ, Brown WJ, McNaughton SA, Joham AE, Teede HJ. Weight management practices associated with PCOS and their relationships with diet and physical activity. Hum Reprod 2018; 32:669-678. [PMID: 28069732 DOI: 10.1093/humrep/dew348] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [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: 08/02/2016] [Accepted: 12/15/2016] [Indexed: 12/18/2022] Open
Abstract
STUDY QUESTION Do weight management practices differ in women with and without PCOS? SUMMARY ANSWER Women in the general population with self-reported PCOS are more likely to be using healthy weight management practices and alternative non-lifestyle measures for weight management than women without PCOS. WHAT IS KNOWN ALREADY Lifestyle management is the first-line treatment in PCOS. However, the specific weight management practices used by women with PCOS and their effect on diet and physical activity are unclear. STUDY DESIGN, SIZE, DURATION The study was a population-based observational cross-sectional study involving women in the 1973-1978 cohort (n = 7767 total; n = 556 with PCOS, n = 7211 without PCOS). PARTICIPANTS/MATERIALS, SETTING, METHODS Women with and without self-reported PCOS were included. Self-reported outcome measures included healthy lifestyle-related or alternative non-lifestyle-related (e.g. laxatives or smoking) weight management practices, dietary intake and physical activity. MAIN RESULTS AND THE ROLE OF CHANCE Women with PCOS were more likely to be following both healthy [reducing meal or snack size (odds ratio (OR) 1.50, 95% CI 1.14, 1.96, P = 0.004) and reducing fat or sugar intake (OR 1.32, 95% CI 1.03, 1.69, P = 0.027) or following a low glycaemic index diet (OR 2.88, 95% CI 2.30, 3.59, P < 0.001)] and alternative [smoking (OR 1.60, 95% CI 1.02, 2.52, P = 0.043) or use of laxative, diet pills, fasting or diuretics (OR 1.45, 95% CI 1.07, 1.97, P = 0.017)] weight management practices than women without PCOS. In PCOS, the use of a range of healthy weight management practices was associated with increases in physical activity (P < 0.001), diet quality (P < 0.001), percentage protein intake (P < 0.001) and decreases in glycaemic index (P < 0.001), and percentages of fat (P = 0.001), saturated fat (P < 0.001) or fibre (P = 0.003). Use of alternative weight management practices was associated with decreases in diet quality. LIMITATIONS, REASONS FOR CAUTION Limitations include the use of self-reported data for PCOS, height, weight, diet, physical activity and weight management behaviours. WIDER IMPLICATIONS OF THE FINDINGS In PCOS, we should focus on improving healthy weight practices across both diet quality and quantity, and on assessing alternative weight practices and their potential adverse effect on dietary intake. STUDY FUNDING/COMPETING INTEREST(S) L.M. is supported by a South Australian Cardiovascular Research Development Program Fellowship (ID AC11S374); a program collaboratively funded by the National Heart Foundation, the South Australian Department of Health and the South Australian Health and Medical Research Institute. H.T. is supported by the NHMRC. S.A.M. is supported by an NHMRC Career Development Fellowship Level 2, ID1104636 and was previously supported by an ARC Future Fellowship (2011-2015, FT100100581). The authors declare no conflict of interest. TRIAL REGISTRATION NUMBER Not applicable.
Collapse
Affiliation(s)
- L J Moran
- Monash Centre for Health Research Implementation, School of Public Health and Preventive Medicine, Monash University, Clayton, Victoria 3168, Australia.,The Robinson Research Institute, Discipline of Obstetrics and Gynaecology, University of Adelaide, North Adelaide 5006, Australia
| | - W J Brown
- Centre for Research on Exercise, Physical Activity and Health, University of Queensland, Brisbane 4072, Australia
| | - S A McNaughton
- Institute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Melbourne 3125, Australia
| | - A E Joham
- Monash Centre for Health Research Implementation, School of Public Health and Preventive Medicine, Monash University, Clayton, Victoria 3168, Australia
| | - H J Teede
- Monash Centre for Health Research Implementation, School of Public Health and Preventive Medicine, Monash University, Clayton, Victoria 3168, Australia.,Diabetes and Vascular Medicine Unit, Monash Health, Clayton 3168, Australia
| |
Collapse
|
15
|
Moran LJ, Mundra PA, Teede HJ, Meikle PJ. The association of the lipidomic profile with features of polycystic ovary syndrome. J Mol Endocrinol 2017; 59:93-104. [PMID: 28500248 DOI: 10.1530/jme-17-0023] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [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: 03/24/2017] [Accepted: 05/12/2017] [Indexed: 12/31/2022]
Abstract
Polycystic ovary syndrome (PCOS) affects up to 18% of reproductive-aged women with reproductive and metabolic complications. While lipidomics can identify associations between lipid species and metabolic diseases, no research has examined the association of lipid species with the pathophysiological features of PCOS. The aim of this study was to examine the lipidomic profile in women with and without PCOS. This study was a cross-sectional study in 156 age-matched pre-menopausal women (18-45 years, BMI >20 kg/m2; n = 92 with PCOS, n = 64 without PCOS). Outcomes included the association between the plasma lipidomic profile (325 lipid species (24 classes) using liquid chromatography mass spectrometry) and PCOS, adiposity, homeostasis assessment of insulin resistance (HOMA), sex hormone-binding globulin (SHBG) and free androgen index (FAI). There were no associations of the lipidomic profile with PCOS or testosterone. HOMA was positively associated with 2 classes (dihydroceramide and triacylglycerol), SHBG was inversely associated with 2 classes (diacylglycerol and triacylglycerol), FAI was positively associated with 8 classes (ceramide, phosphatidylcholine, lysophosphatidylcholine, phosphatidylethanolamine, lysophosphatidylethanolamine, phosphatidylinositol, diacylglycerol and triacylglycerol) and waist circumference was associated with 8 classes (4 positively (dihydroceramide, phosphatidylglycerol, diacylglycerol and triacylglycerol) and 4 inversely (trihexosylceramide, GM3 ganglioside, alkenylphosphatidylcholine and alkylphosphatidylethanolamine)). The lipidomic profile was primarily related to central adiposity and FAI in women with or without PCOS. This supports prior findings that adiposity is a key driver of dyslipidaemia in PCOS and highlights the need for weight management through lifestyle interventions.
Collapse
Affiliation(s)
- L J Moran
- Monash Centre for Health Research and ImplementationSchool of Public Health and Preventative Medicine, Monash University, Clayton, Victoria, Australia
- The Robinson Research InstituteUniversity of Adelaide, North Adelaide, South Australia, Australia
| | - P A Mundra
- Metabolomics LaboratoryBaker IDI Heart and Diabetes Institute, Melbourne, Victoria, Australia
| | - H J Teede
- Monash Centre for Health Research and ImplementationSchool of Public Health and Preventative Medicine, Monash University, Clayton, Victoria, Australia
- Diabetes and Endocrine UnitMonash Health, Clayton, Victoria, Australia
| | - P J Meikle
- Metabolomics LaboratoryBaker IDI Heart and Diabetes Institute, Melbourne, Victoria, Australia
- Department of Biochemistry and Molecular BiologyUniversity of Melbourne, Melbourne, Victoria, Australia
| |
Collapse
|
16
|
Kozica SL, Lombard CB, Harrison CL, Teede HJ. Evaluation of a large healthy lifestyle program: informing program implementation and scale-up in the prevention of obesity. Implement Sci 2016; 11:151. [PMID: 27881146 PMCID: PMC5121947 DOI: 10.1186/s13012-016-0521-4] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [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: 04/20/2016] [Accepted: 11/14/2016] [Indexed: 02/08/2023] Open
Abstract
BACKGROUND The Healthy Lifestyle Program for women (HeLP-her) is a low-intensity, self-management program which has demonstrated efficacy in preventing excess weight gain in women. However, little is known about the implementation, reach, and sustainability of low-intensity prevention programs in rural settings, where risk for obesity in women is higher than urban settings. We aimed to evaluate a low-intensity healthy lifestyle program delivered to women in a rural setting to inform development of effective community prevention programs. METHODS A mixed method hybrid implementation and evaluation study, guided by the RE-AIM framework (addressing the Reach, Effectiveness, Adoption, Implementation, and Maintenance), was undertaken. Data collection tools included anthropometric measures, program checklists, questionnaires, and semi-structured interviews with participants and local stakeholders. The RE-AIM self-audit tool was applied to assess evaluation rigor. RESULTS Six hundred and forty-nine women from 41 relatively socio-economic disadvantaged communities in Australia participated: mean age 39.6 years (±SD 6.7) and body mass index of 28.8 kg/m2 (±SD 6.9). A between-group weight difference of -0.92 kg (95% CI -1.67 to -0.16) showed program effectiveness. Reach was broad across 41 towns with 62% of participants reporting influencing some of the health behaviors of their families. Strong implementation fidelity was achieved with good retention rates at 1 year (76%) and high participant satisfaction (82% of participants willing to recommend this program). Over 300 multi-level community partnerships were established supporting high adoption. Stakeholders reported potential capacity to implement and sustain the prevention program in resource poor rural settings, due to the low-intensity design and minimal resources required. CONCLUSIONS Our comprehensive RE-AIM evaluation demonstrates that an evidence-based obesity prevention program can be successfully implemented in real-world settings. The program achieved broad reach, effectiveness, and satisfaction at the community and stakeholder level, revealing potential for program sustainability. The evaluation addressed implementation knowledge gaps to support future obesity prevention program scale-up. TRIAL REGISTRATION Australian and New Zealand Clinical Trial Registry ACTRN 12612000115831 [ http://www.anzctr.org.au/ ].
Collapse
Affiliation(s)
- S L Kozica
- Monash Centre for Health Research and Implementation (MCHRI), School of Public Health and Preventive Medicine, Monash University, Locked Bag 29, Monash Medical Centre, Clayton, Victoria, 3168, Australia
| | - C B Lombard
- Monash Centre for Health Research and Implementation (MCHRI), School of Public Health and Preventive Medicine, Monash University, Locked Bag 29, Monash Medical Centre, Clayton, Victoria, 3168, Australia
| | - C L Harrison
- Monash Centre for Health Research and Implementation (MCHRI), School of Public Health and Preventive Medicine, Monash University, Locked Bag 29, Monash Medical Centre, Clayton, Victoria, 3168, Australia
| | - H J Teede
- Monash Centre for Health Research and Implementation (MCHRI), School of Public Health and Preventive Medicine, Monash University, Locked Bag 29, Monash Medical Centre, Clayton, Victoria, 3168, Australia.
- Endocrinology and Diabetes Unit Monash Health, Clayton, Victoria, Australia.
| |
Collapse
|
17
|
Abstract
Polycystic ovary syndrome (PCOS), a common condition affecting up to 18% of reproductive-aged women, has complications including reproductive, metabolic and psychological dysfunction. There is a strong potentially bidirectional association of obesity with PCOS. Women with PCOS both have a higher risk of obesity and greater longitudinal weight gain and obesity increases the prevalence and severity of the reproductive, metabolic and psychological features of PCOS. In limited observational studies, PCOS is proposed as a potential factor contributing to lower breastfeeding initiation and duration. Areas covered: A narrative review using PubMed was performed covering the areas of the association of obesity and PCOS with breastfeeding success and interventions for improving breastfeeding success. Obesity impacts on breastfeeding success related to factors including impaired lactogenesis, mechanical difficulties, psychological considerations and an increased likelihood of having a caesarean section. The common coexistence of obesity in PCOS is the likely key contributor to the breastfeeding problems observed in PCOS, given the contribution of obesity to reduced breastfeeding initiation and duration. Expert review: Facilitating breastfeeding is crucial for optimising maternal and infant health benefits, highlighting the importance of lactation support for overweight and obese women with or without PCOS.
Collapse
Affiliation(s)
- C L Harrison
- a Monash Centre for Health Research and Implementation (MCHRI), School of Public Health and Preventive Medicine , Monash University , Clayton , Australia
| | - H J Teede
- a Monash Centre for Health Research and Implementation (MCHRI), School of Public Health and Preventive Medicine , Monash University , Clayton , Australia
- b Diabetes and Vascular Medicine , Monash Health , Clayton , Australia
| | - A E Joham
- a Monash Centre for Health Research and Implementation (MCHRI), School of Public Health and Preventive Medicine , Monash University , Clayton , Australia
| | - L J Moran
- a Monash Centre for Health Research and Implementation (MCHRI), School of Public Health and Preventive Medicine , Monash University , Clayton , Australia
- c The Robinson Research Institute, Discipline of Obstetrics and Gynaecology , University of Adelaide , Adelaide , Australia
| |
Collapse
|
18
|
Abell SK, Zoungas S, Teede HJ. Caution in clinical interpretation of population level administrative data. BJOG 2016; 124:814. [PMID: 27726274 DOI: 10.1111/1471-0528.14355] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- S K Abell
- Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Clayton, Vic., Australia.,Monash Diabetes, Monash Health, Clayton, Vic., Australia
| | - S Zoungas
- Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Clayton, Vic., Australia.,Monash Diabetes, Monash Health, Clayton, Vic., Australia
| | - H J Teede
- Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Clayton, Vic., Australia.,Monash Diabetes, Monash Health, Clayton, Vic., Australia
| |
Collapse
|
19
|
Ranasinha S, Joham AE, Norman RJ, Shaw JE, Zoungas S, Boyle J, Moran L, Teede HJ. The association between Polycystic Ovary Syndrome (PCOS) and metabolic syndrome: a statistical modelling approach. Clin Endocrinol (Oxf) 2015; 83:879-87. [PMID: 26052744 DOI: 10.1111/cen.12830] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.2] [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: 03/24/2015] [Revised: 04/14/2015] [Accepted: 06/01/2015] [Indexed: 01/14/2023]
Abstract
OBJECTIVE Polycystic ovary syndrome (PCOS) affects 12-21% of women. Women with PCOS exhibit clustering of metabolic features. We applied rigorous statistical methods to further understand the interplay between PCOS and metabolic features including insulin resistance, obesity and androgen status. DESIGN Retrospective cross-sectional analysis. PATIENTS Women with PCOS attending reproductive endocrine clinics in South Australia for the treatment of PCOS (n = 172). Women without PCOS (controls) in the same Australian region (n = 335) from the Australian Diabetes, Obesity and Lifestyle Study (AusDiab), a national population-based study (age- and BMI-matched within one standard deviation of the PCOS cohort). MEASUREMENTS The factor structure for metabolic syndrome for women with PCOS and control groups was examined, specifically, the contribution of individual factors to metabolic syndrome and the association of hyperandrogenism with other metabolic factors. RESULTS Women with PCOS demonstrated clustering of metabolic features that was not observed in the control group. Metabolic syndrome in the PCOS cohort was strongly represented by obesity (standardized factor loading = 0·95, P < 0·001) and insulin resistance factors (loading = 0·92, P < 0·001) and moderately by blood pressure (loading = 0·62, P < 0·001) and lipid factors (loading = 0·67, P = 0·002). On further analysis, the insulin resistance factor strongly correlated with the obesity (r = 0·70, P < 0·001) and lipid factors (r = 0·68, P < 0·001) and moderately with the blood pressure factor (loading = 0·43, P = 0·002). The hyperandrogenism factor was moderately correlated with the insulin resistance factor (r = 0·38, P < 0·003), but did not correlate with any other metabolic factors. CONCLUSIONS PCOS women are more likely to display metabolic clustering in comparison with age- and BMI-matched control women. Obesity and insulin resistance, but not androgens, are independently and most strongly associated with metabolic syndrome in PCOS.
Collapse
Affiliation(s)
- S Ranasinha
- Women's Reproductive Health Research, Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Clayton, Vic, Australia
| | - A E Joham
- Women's Reproductive Health Research, Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Clayton, Vic, Australia
- Diabetes and Vascular Medicine Unit, Monash Health, Clayton, Vic, Australia
| | - R J Norman
- Robinson Institute, School of Paediatrics and Reproductive Health, University of Adelaide, North Adelaide, SA, Australia
| | - J E Shaw
- Baker IDI Heart and Diabetes Institute, Melbourne, Vic, Australia
| | - S Zoungas
- Women's Reproductive Health Research, Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Clayton, Vic, Australia
- Diabetes and Vascular Medicine Unit, Monash Health, Clayton, Vic, Australia
| | - J Boyle
- Women's Reproductive Health Research, Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Clayton, Vic, Australia
| | - L Moran
- Women's Reproductive Health Research, Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Clayton, Vic, Australia
- Robinson Institute, School of Paediatrics and Reproductive Health, University of Adelaide, North Adelaide, SA, Australia
| | - H J Teede
- Women's Reproductive Health Research, Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Clayton, Vic, Australia
- Diabetes and Vascular Medicine Unit, Monash Health, Clayton, Vic, Australia
| |
Collapse
|
20
|
Mousa A, Naderpoor N, Teede HJ, De Courten MPJ, Scragg R, De Courten B. Vitamin D and cardiometabolic risk factors and diseases. MINERVA ENDOCRINOL 2015; 40:213-230. [PMID: 25714787] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/04/2023]
Abstract
Obesity, type 2 diabetes, and cardiovascular disease (CVD) are the most common preventable causes of morbidity and mortality worldwide. Insulin resistance, which is a shared feature in these conditions, is also strongly linked to the development of polycystic ovary syndrome (PCOS), which is the most common endocrine disease in women of reproductive age and a major cause of infertility. Vitamin D deficiency has reached epidemic proportions worldwide, primarily due to the shift to sedentary, indoor lifestyles and sun avoidance behaviours to protect against skin cancer. In recent years, vitamin D deficiency has been implicated in the aetiology of type 2 diabetes, PCOS and CVD, and has been shown to be associated with their risk factors including obesity, insulin resistance, hypertension, as well as chronic low-grade inflammation. Treating vitamin D deficiency may offer a feasible and cost-effective means of reducing cardiometabolic risk factors at a population level in order to prevent the development of type 2 diabetes and CVD. However, not all intervention studies show that vitamin D supplementation alleviates these risk factors. Importantly, there is significant heterogeneity in existing studies with regards to doses and drug regimens used, populations studied (i.e. vitamin D deficient or sufficient), and the lengths of supplementation, and only few studies have directly examined the effect of vitamin D on insulin secretion and resistance with the use of clamp methods. Therefore, there is a need for well-designed large scale trials to clarify the role of vitamin D supplementation in the prevention of type 2 diabetes, PCOS, and CVD.
Collapse
Affiliation(s)
- A Mousa
- Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Kanooka Grove, Clayton, Australia -
| | | | | | | | | | | |
Collapse
|
21
|
Kozica SL, Lombard CB, Ilic D, Ng S, Harrison CL, Teede HJ. Acceptability of delivery modes for lifestyle advice in a large scale randomised controlled obesity prevention trial. BMC Public Health 2015. [PMID: 26205958 PMCID: PMC4513385 DOI: 10.1186/s12889-015-1995-8] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/29/2023] Open
Abstract
BACKGROUND Preventing obesity is an international health priority and women living in rural communities are at an increased risk of weight gain. Lifestyle programs are needed as part of a comprehensive approach to prevent obesity. Evaluation provides a unique opportunity to investigate and inform improvements in lifestyle program implementation strategies. The Healthy Lifestyle Program for rural women (HeLP-her Rural) is a large scale, cluster randomized control trial, targeting the prevention of weight gain. This program utilises multiple delivery modes for simple lifestyle advice (group sessions, phone coaching, text messages, and an interactive program manual). Here, we describe the acceptability of these various delivery modes. METHODS A mixed-method process evaluation was undertaken measuring program fidelity, recruitment strategies, dose delivered, program acceptability and contextual factors influencing program implementation. Data collection methodologies included qualitative semi-structured interviews for a sub-group of intervention participants [n = 28] via thematic analysis and quantitative methods (program checklists and questionnaires [n = 190]) analysed via chi square and t-tests. RESULTS We recruited 649 women from 41 rural townships into the HeLP-her Rural program with high levels of program fidelity, dose delivered and acceptability. Participants were from low socioeconomic townships and no differences were detected between socioeconomic characteristics and the number of participants recruited across the towns (p = 0.15). A face-to-face group session was the most commonly reported preferred delivery mode for receiving lifestyle advice, followed by text messages and phone coaching. Multiple sub-themes emerged to support the value of group sessions which included: promoting of a sense of belonging, mutual support and a forum to share ideas. The value of various delivery modes was influenced by participant's various needs and learning styles. CONCLUSION This comprehensive evaluation reveals strong implementation fidelity and high levels of dose delivery. We demonstrate reach to women from relatively low income rural townships and highlight the acceptability of low intensity healthy lifestyle programs with mixed face-to-face and remote delivery modes in this population. Group education sessions were the most highly valued component of the intervention, with at least one face-to-face session critical to successful program implementation. However, lifestyle advice via multiple delivery modes is recommended to optimise program acceptability and ultimately effectiveness. TRIAL REGISTRY Australia & New Zealand Clinical Trial Registry. Trial number ACTRN12612000115831, date of registration 24/01/2012.
Collapse
Affiliation(s)
- S L Kozica
- Monash Centre for Health Research and Implementation (MCHRI), School of Public Health & Preventive Medicine, Monash University, Locked Bag 29, Monash Medical Centre, Clayton, VIC, 3168, Australia.
| | - C B Lombard
- Monash Centre for Health Research and Implementation (MCHRI), School of Public Health & Preventive Medicine, Monash University, Locked Bag 29, Monash Medical Centre, Clayton, VIC, 3168, Australia.
| | - D Ilic
- Department of Epidemiology and Preventive Medicine, School of Public Health & Preventive Medicine, Monash University, Victoria, Australia.
| | - S Ng
- Monash Centre for Health Research and Implementation (MCHRI), School of Public Health & Preventive Medicine, Monash University, Locked Bag 29, Monash Medical Centre, Clayton, VIC, 3168, Australia.
| | - C L Harrison
- Monash Centre for Health Research and Implementation (MCHRI), School of Public Health & Preventive Medicine, Monash University, Locked Bag 29, Monash Medical Centre, Clayton, VIC, 3168, Australia.
| | - H J Teede
- Monash Centre for Health Research and Implementation (MCHRI), School of Public Health & Preventive Medicine, Monash University, Locked Bag 29, Monash Medical Centre, Clayton, VIC, 3168, Australia. .,Diabetes and Vascular Medicine Unit, Monash Health, Victoria, Australia.
| |
Collapse
|
22
|
Abstract
BACKGROUND Depression, anxiety, and inflammation are common in polycystic ovary syndrome (PCOS). Inflammation may adversely impact on mood and vitamin D has been associated with both mood disorders and inflammation in the general population, but these relationships have not been studied in PCOS. The aim of this study was to investigate the association among 25 hydroxy-Vitamin D (25OHVD) status, anxiety, depression, and inflammation in women with and without PCOS. METHODS Cross-sectional study in overweight or obese premenopausal women with (n = 50) and without (n = 23) PCOS. Primary outcome measures were 25OHVD, mood (Hospital Anxiety and Depression questionnaire), and inflammation (highly sensitive C-reactive protein (hsCRP)). RESULTS Vitamin D deficiency (25OHVD<50 nmol/L) (46% versus 39%, p = 0.311) and 25OHVD (50.4 ± 22.2 nmol/L versus 51.6 ± 19.0 nmol/L, p = 0.828) were not significantly different in women with and without PCOS. For all women combined, 25OHVD was the only significant independent predictor of depression (β = -0.063 ± 0.021, p = 0.005) and hsCRP (β = -0.041 ± 0.015, p = 0.010). CONCLUSIONS Vitamin D deficiency is common in both women with and without PCOS with no differences between the groups. Vitamin D is independently associated with depression and inflammation in overweight women both with and without PCOS. Further investigation to clarify the interrelationship among vitamin D, inflammation and depression is required to identify optimal prevention and treatment strategies for psychological and metabolic dysfunction in PCOS.
Collapse
Affiliation(s)
- L J Moran
- Women's Reproductive Health Research, Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University , Clayton , Australia
| | | | | |
Collapse
|
23
|
Naderpoor N, Shorakae S, Joham A, Boyle J, De Courten B, Teede HJ. Obesity and polycystic ovary syndrome. MINERVA ENDOCRINOL 2015; 40:37-51. [PMID: 25411807] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/04/2023]
Abstract
Obesity is now a major international health concern. It is increasingly common in young women with reproductive, metabolic and psychological health impacts. Reproductive health impacts are often poorly appreciated and include polycystic ovary syndrome (PCOS), infertility and pregnancy complications. PCOS is the most common endocrine condition in women and is underpinned by hormonal disturbances including insulin resistance and hyperandrogenism. Obesity exacerbates hormonal and clinical features of PCOS and women with PCOS appear at higher risk of obesity, with multiple underlying mechanisms linking the conditions. Lifestyle intervention is first line in management of PCOS to both prevent weight gain and induce weight loss; however improved engagement and sustainability remain challenges with the need for more research. Medications like metformin, orlistat, GLP1 agonists and bariatric surgery have been used with the need for large scale randomised clinical trials to define their roles.
Collapse
Affiliation(s)
- N Naderpoor
- Monash Centre for Health Research and Implementation School of Public Health and Preventive Medicine Monash University, MHRP, Clayton, Australia -
| | | | | | | | | | | |
Collapse
|
24
|
Harrison CL, Lombard CB, East C, Boyle J, Teede HJ. Risk stratification in early pregnancy for women at increased risk of gestational diabetes. Diabetes Res Clin Pract 2015; 107:61-8. [PMID: 25444356 DOI: 10.1016/j.diabres.2014.09.006] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.7] [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: 05/07/2014] [Revised: 08/26/2014] [Accepted: 09/17/2014] [Indexed: 01/30/2023]
Abstract
AIM To evaluate the addition of fasting glucose and lipids to a simple, validated risk prediction tool for gestational diabetes (GDM) applied in early pregnancy. METHODS Women at risk of developing GDM on a validated risk prediction tool were recruited in early pregnancy into a large randomised controlled trial. Outcome measures included fasting biochemical markers (glucose, lipids) at 12-15 weeks gestation and GDM diagnosis (28 weeks gestation). Multivariable logistic regression was used to identify additional predictive biochemical variables for GDM, with corresponding receiver operator characteristic (ROC) curves generated. Unadjusted and adjusted models were derived for both the Australasian Diabetes in Pregnancy (ADIPS) and the International Association for Diabetes in Pregnancy Study Group (IADPSG) GDM diagnostic criteria. RESULTS 51 (23%) Women were diagnosed with GDM based on ADIPS criteria, with 60 (30%) diagnosed based on IADPSG criteria. In all four regression models, fasting glucose was the strongest predictor for GDM development with an odds ratio range of 4.7-6.3 (ADIPS) and 8.8-10 (IADPSG). ROC curves revealed an area under the curve of 0.79 (95% CI: 0.72-0.86) for ADIPS criteria and 0.83 (95% CI: 0.77-0.90) for IADPSG criteria for adjusted models. CONCLUSIONS In a two-step approach, when applied with a validated risk prediction tool, fasting glucose in early pregnancy was predictive of GDM and incrementally improved risk identification, presenting potential for an early pregnancy, GDM risk screening strategy for streamlining of pregnancy care and opportunity for preventive intervention.
Collapse
Affiliation(s)
- C L Harrison
- Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - C B Lombard
- Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - C East
- Monash Women's Maternity Services, Monash Health, Melbourne, Australia
| | - J Boyle
- Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - H J Teede
- Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia; Diabetes and Vascular Medicine Unit, Monash Health, Melbourne, Australia.
| |
Collapse
|
25
|
Vincent AJ, Ranasinha S, Sayakhot P, Mansfield D, Teede HJ. Sleep difficulty mediates effects of vasomotor symptoms on mood in younger breast cancer survivors. Climacteric 2014; 17:598-604. [PMID: 24673553 DOI: 10.3109/13697137.2014.900745] [Citation(s) in RCA: 17] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
OBJECTIVE Treatment-induced early menopause occurs in > 80% of premenopausal women diagnosed with breast cancer. This study explored the relationship between vasomotor symptoms (VMS), sleep and mood in women aged 40-51 years with non-metastatic breast cancer. METHODS Cross-sectional study using validated questionnaires (Greene Climacteric scale and Hospital Anxiety and Depression Scale, HADS). Women (n = 114) were recruited from the community and hospital outpatient clinics. Frequency determination and structural equation modeling (SEMod) were used to examine the relationship between the latent variables: VMS, anxiety, and depression, and the indicator variable: difficulty sleeping. RESULTS Participants' mean age was 47 years and 94% became menopausal after breast cancer diagnosis. Difficulty sleeping was reported by 82% of women with 46% reporting (Likert scale) 'quite a bit/extremely'. Most women reported night sweats (77% of women: 47% reporting 'quite a bit/extremely') and hot flushes (84% of women: 50% reporting 'quite a bit/extremely'). HADS scores indicated clinically relevant depression and anxiety in 98% and 99% of women, respectively. SEMod revealed that VMS contributed to difficulty sleeping (standardized coefficient = 0.54; p < 0.001) and difficulty sleeping mediated the relationship between VMS and anxiety (standardized coefficient = 0.34; p = 0.03). However, difficulty sleeping did not have a significant direct impact on depression (standardized coefficient = -0.03; p = 0.8), although anxiety was a strong predictor of depression (standardized coefficient = 0.83; p = 0.015). CONCLUSIONS VMS, sleep and mood disturbance are commonly experienced by younger women with breast cancer. Using SEMod, we demonstrate for the first time that VMS may directly influence sleep in these women. VMS may have an indirect effect on mood, partly mediated by sleep difficulty.
Collapse
Affiliation(s)
- A J Vincent
- * Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University , Clayton , Victoria
| | | | | | | | | |
Collapse
|
26
|
Joham AE, Ranasinha S, Zoungas S, Moran L, Teede HJ. Gestational diabetes and type 2 diabetes in reproductive-aged women with polycystic ovary syndrome. J Clin Endocrinol Metab 2014; 99:E447-52. [PMID: 24081730 DOI: 10.1210/jc.2013-2007] [Citation(s) in RCA: 95] [Impact Index Per Article: 9.5] [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] [Indexed: 02/09/2023]
Abstract
CONTEXT Polycystic ovary syndrome (PCOS) affects 6%-21% of women. PCOS has been associated with an increased risk of dysglycemia including gestational diabetes mellitus (GDM) and type 2 diabetes mellitus (T2DM). OBJECTIVE The objective of the study was to assess the prevalence of dysglycemia and the impact of obesity in young reproductive-aged women with and without PCOS in a community-based cohort. DESIGN This was a cross-sectional analysis of data from a large longitudinal study (the Australian Longitudinal Study on Women's Health). SETTING The setting for the study was the general community. PARTICIPANTS Women were randomly selected from the national health insurance database. Standardized data collection occurred at five survey time points (years 1996, 2000, 2003, 2006, and 2009). Data from survey 4 (2006, n = 9145, 62% of original cohort aged 18-23 y) were examined for this study. MAIN OUTCOME MEASURES Self-reported PCOS, GDM, and T2DM were measured. RESULTS In women aged 28-33 years, PCOS prevalence was 5.8% [95% confidence interval (CI) 5.3%-6.4%]. The prevalence of GDM (in women reporting prior pregnancy) and T2DM was 11.2% and 5.1% in women with PCOS and 3.8% and 0.3% in women without PCOS, respectively (P for both < .001). PCOS was associated with an increased odds of GDM and T2DM. After adjusting for age, body mass index, hypertension, smoking, and demographic factors, the odds of GDM (odds ratio 2.1, 95% CI 1.1-3.9, P = .02) and T2DM (odds ratio 8.8, 95% CI 3.9-20.1, P < .001) remained increased in women reporting PCOS. CONCLUSIONS In a large community-based cohort of reproductive-aged women, PCOS was independently associated with a higher risk of GDM and T2DM, independent of body mass index. Aggressive screening, prevention, and management of dysglycemia is clearly warranted in women with PCOS.
Collapse
Affiliation(s)
- A E Joham
- Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, (A.E.J., S.R., S.Z., L.M., H.J.T.), Monash University, and Southern Health, Clayton, Victoria 3168, Australia; and The Robinson Institute (L.M.), University of Adelaide, North Adelaide, SA 5006, Australia
| | | | | | | | | |
Collapse
|
27
|
Joham AE, Boyle JA, Ranasinha S, Zoungas S, Teede HJ. Contraception use and pregnancy outcomes in women with polycystic ovary syndrome: data from the Australian Longitudinal Study on Women's Health. Hum Reprod 2014; 29:802-8. [DOI: 10.1093/humrep/deu020] [Citation(s) in RCA: 50] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
|
28
|
Moran LJ, Teede HJ, Noakes M, Clifton PM, Norman RJ, Wittert GA. Sex hormone binding globulin, but not testosterone, is associated with the metabolic syndrome in overweight and obese women with polycystic ovary syndrome. J Endocrinol Invest 2013; 36:1004-10. [PMID: 23812344 DOI: 10.3275/9023] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
BACKGROUND Polycystic ovary syndrome (PCOS) is associated with hyperandrogenism and an increased risk of Type 2 diabetes and cardiovascular disease. Decreased SHBG and elevated testosterone are associated with metabolic syndrome and glucose intolerance in women. AIM The aim of this study was to assess the relationship between SHBG and testosterone and metabolic syndrome and glucose intolerance in PCOS. MATERIAL/SUBJECTS AND METHODS Cross-sectional study in overweight and obese premenopausal non-diabetic women with PCOS (no.=178: no.=55 metabolic syndrome, no.=16 glucose intolerance). Data were analyzed by multiple regression with metabolic syndrome, oral glucose tolerance test (OGTT) glucose or SHBG as dependent variables and reproductive hormones, insulin resistance, glucose tolerance, lipids or C-reactive protein as independent variables. RESULTS Metabolic syndrome was independently associated with body mass index [odds ratio (OR) 1.084 95% confidence interval (CI) 1.034-1.170, p=0.015] and SHBG (OR 0.961 95% CI 0.932-0.995, p=0.018). Glucose tolerance was independently associated with OGTT insulin (β=0.418, p<0.001), age (β=0.154, p=0.033) and PRL (β=-0.210, p=0.002). SHBG was independently associated with OGTT insulin (β=-0.216, p=0.014) and PCOS diagnostic criteria (β=0.197, p=0.010). CONCLUSIONS SHBG, but not testosterone, is independently associated with metabolic syndrome in overweight women with PCOS and is associated with insulin resistance and PCOS diagnostic criteria.
Collapse
Affiliation(s)
- L J Moran
- The Robinson Institute, University of Adelaide, North Adelaide, Australia.
| | | | | | | | | | | |
Collapse
|
29
|
Milat F, Goh S, Gani LU, Suriadi C, Gillespie MT, Fuller PJ, Teede HJ, Strickland AH, Allan CA. Prolonged hypocalcemia following denosumab therapy in metastatic hormone refractory prostate cancer. Bone 2013; 55:305-8. [PMID: 23685544 DOI: 10.1016/j.bone.2013.04.012] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.3] [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: 12/22/2012] [Revised: 03/12/2013] [Accepted: 04/15/2013] [Indexed: 11/23/2022]
Abstract
Prostate cancer is a leading cause of cancer death, frequently associated with widespread bone metastases. We report two cases of hypocalcemia following the first dose of denosumab in metastatic hormone refractory prostate cancer, the first case requiring 26 days of intravenous calcium therapy. This is the first report of prolonged hypocalcemia following denosumab in a patient with normal renal function.
Collapse
Affiliation(s)
- F Milat
- Department of Endocrinology, Monash Health, Monash Medical Centre, Clayton, Australia.
| | | | | | | | | | | | | | | | | |
Collapse
|
30
|
Kibbey KJ, Speight J, Wong JLA, Smith LA, Teede HJ. Diabetes care provision: barriers, enablers and service needs of young adults with Type 1 diabetes from a region of social disadvantage. Diabet Med 2013; 30:878-84. [PMID: 23659590 DOI: 10.1111/dme.12227] [Citation(s) in RCA: 31] [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] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/28/2012] [Revised: 02/13/2013] [Accepted: 05/07/2013] [Indexed: 11/30/2022]
Abstract
AIMS To determine the barriers to and enablers of engaging with specialist diabetes care and the service requirements of young adults with Type 1 diabetes mellitus from a low socio-economic, multicultural region. METHODS A cross-sectional survey targeted 357 young adults with Type 1 diabetes, aged 18-30 years. Participants completed questions about barriers/enablers to accessing diabetes care and service preferences, self-reported HbA(1c), plus measures of diabetes-related distress (Problem Areas in Diabetes), depression/anxiety (Hospital Anxiety and Depression Scale), and illness perceptions (Brief Illness Perceptions Questionnaire). RESULTS Eighty-six (24%) responses were received [55 (64%) female; mean ± sd age 24 ± 4 years; diabetes duration 12 ± 7 years; HbA(1c) 68 ± 16 mmol/mol (8.4 ± 1.5%)]. Logistical barriers to attending diabetes care were reported; for example, time constraints (30%), transportation (26%) and cost (21%). However, 'a previous unsatisfactory diabetes health experience' was cited as a barrier by 27%. Enablers were largely matched to overcoming these barriers. Over 90% preferred a multidisciplinary team environment, close to home, with after-hours appointment times. Forty per cent reported severe diabetes-related distress, 19% reported moderate-to-severe depressive symptoms and 50% reported moderate-to-severe anxiety. CONCLUSIONS Among these young adults with Type 1 diabetes, glycaemic control was suboptimal and emotional distress common. They had identifiable logistical barriers to accessing and maintaining contact with diabetes care services, which can be addressed with flexible service provision. A substantial minority were discouraged by previous unsatisfactory experiences, suggesting health providers need to improve their interactions with young adults. This research will inform the design of life-stage-appropriate diabetes services targeting optimal engagement, access, attendance and ultimately improved healthcare outcomes in this vulnerable population.
Collapse
Affiliation(s)
- K J Kibbey
- Diabetes Unit, Southern Health, Melbourne, Australia
| | | | | | | | | |
Collapse
|
31
|
|
32
|
Sayakhot P, Teede HJ, Gibson-Helm M, Vincent A. Differences in clinician understanding and management of early menopause after breast cancer. Climacteric 2013; 16:479-89. [DOI: 10.3109/13697137.2013.765842] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
|
33
|
Hutchison SK, Teede HJ, Rachoń D, Harrison CL, Strauss BJ, Stepto NK. Effect of exercise training on insulin sensitivity, mitochondria and computed tomography muscle attenuation in overweight women with and without polycystic ovary syndrome. Diabetologia 2012; 55:1424-34. [PMID: 22246378 DOI: 10.1007/s00125-011-2442-8] [Citation(s) in RCA: 31] [Impact Index Per Article: 2.6] [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: 08/25/2011] [Accepted: 12/09/2011] [Indexed: 12/25/2022]
Abstract
AIMS/HYPOTHESIS Polycystic ovary syndrome (PCOS) is an insulin resistant (IR) state. Increased skeletal muscle lipid content and impaired mitochondrial biogenesis have been implicated in the pathogenesis of IR. We investigated whether differences in these variables explain the IR of women affected by PCOS and whether improvements in IR with exercise are reflected by changes in these variables. METHODS Sixteen PCOS and 13 non-PCOS overweight women were assessed, and eight PCOS and seven non-PCOS women were reassessed after 12 weeks of moderate and vigorous exercise training. Outcomes included insulin sensitivity (glucose infusion rate [GIR]), skeletal muscle gene expression and protein abundance, enzyme activity of selected mitochondrial components, and computed tomography (CT) attenuation-estimated muscle lipid. RESULTS GIR was lower in women with PCOS versus those without (p = 0.01) and increased with exercise in both groups. Baseline CT muscle attenuation suggested a trend to less muscle lipid in PCOS, which increased with exercise training, with a difference in the change in muscle lipid (p = 0.01, age-corrected), compared with non-PCOS women. GIR correlated with PGC1A gene expression across the whole group; skeletal muscle expression of mitochondrial biogenesis markers was not different between groups at baseline, or after training. Neither lipid changes nor mitochondrial changes correlated with changes in GIR. CONCLUSIONS/INTERPRETATION Differences in IR in women with and without PCOS were not explained by differences in skeletal muscle lipid or mitochondrial parameters. Improvements in IR with exercise were dissociated from mitochondrial parameters. CT muscle attenuation suggested a differential capacity of PCOS muscle to store lipid compared with non-PCOS. TRIAL REGISTRATION Clinicaltrials.gov ISRCTN84763265. FUNDING National Health & Medical Research Council (Grant number 606553), Monash University and The Jean Hailes Foundation.
Collapse
Affiliation(s)
- S K Hutchison
- Jean Hailes Foundation Research, School of Public Health and Preventative Medicine, Monash University, Melbourne, VIC, Australia
| | | | | | | | | | | |
Collapse
|
34
|
Moran LJ, Deeks AA, Gibson-Helm ME, Teede HJ. Psychological parameters in the reproductive phenotypes of polycystic ovary syndrome. Hum Reprod 2012; 27:2082-8. [PMID: 22493025 DOI: 10.1093/humrep/des114] [Citation(s) in RCA: 49] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
Abstract
BACKGROUND The aim of this study was to assess the psychological features in women with different polycystic ovary syndrome (PCOS) phenotypes [National Institute of Health (NIH) and non-NIH diagnostic criteria] and women without PCOS. METHODS An observational, cross-sectional study compared overweight (BMI ≥ 25 kg/m(2)) premenopausal women with PCOS (n = 29 NIH and n = 25 non-NIH) and controls (n = 27). Anxiety and depression were compared between women with NIH or non-NIH PCOS and women without PCOS. Health-related quality of life (HRQoL) domains related to emotions, body hair, weight, infertility and menstrual problems were compared between women with NIH and non-NIH PCOS. RESULTS Overall, women with PCOS had worse anxiety (P = 0.007) and depression (P = 0.048) compared with women without PCOS. Both women with NIH PCOS and non-NIH PCOS presented more often with moderate anxiety (P = 0.005 and P = 0.01, respectively) compared with women without PCOS. Women with NIH PCOS had worse HRQoL related to infertility (P = 0.012), emotions (P = 0.02) and weight (P = 0.016). No significant differences were observed between the two PCOS phenotypes for HRQoL domains related to body hair or menstrual problems. Both NIH (β = 0.30, P = 0.024) and non-NIH (β = 0.32, P = 0.016) PCOS status predicted anxiety, whereas age (β = 0.35, P = 0.008) and free androgen index (β = 0.31, P = 0.027) predicted depression. CONCLUSIONS PCOS is associated with anxiety and depression. Non-NIH phenotypes present with similar psychological profiles to NIH PCOS, indicating increased psychological dysfunction in PCOS, even in milder reproductive phenotypes. However, women with NIH PCOS appear to have worse HRQoL in some areas than women with non-NIH PCOS. Psychological function and HRQoL should be considered in all women with PCOS.
Collapse
Affiliation(s)
- L J Moran
- Women's Public Health Research, School of Public Health and Preventive Medicine, Monash University, Clayton, Victoria 3168, Australia.
| | | | | | | |
Collapse
|
35
|
Harrison CL, Lombard CB, Teede HJ. Understanding health behaviours in a cohort of pregnant women at risk of gestational diabetes mellitus: an observational study. BJOG 2012; 119:731-8. [PMID: 22390729 DOI: 10.1111/j.1471-0528.2012.03296.x] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
OBJECTIVE To assess health behaviours, physical activity levels, weight gain and development of gestational diabetes mellitus (GDM) in high-risk women. DESIGN An observational sub-study of a larger randomised controlled trial. SETTING A large tertiary hospital in Australia. POPULATION Ninety-seven women (mean age 31.7 ± 4.5 years; body mass index 30.3 ± 5.9 kg/m(2) ) at risk of developing GDM. METHODS Women were identified as at risk of GDM based on a validated screening tool. Baseline measures were completed at 12-15 weeks of gestation and repeated at 26-28 weeks of gestation. MAIN OUTCOME MEASURES Anthropometric (weight and height) and physical activity assessment (Yamax pedometer and International physical activity questionnaire), questionnaires (self-efficacy) and GDM screening. RESULTS By 28 weeks of gestation, there was a high GDM prevalence of 26% using the recent International Association of Diabetes and Pregnancy Study Group criteria. Weight gain in overweight (body mass index 25-29.9 kg/m(2)) and obese (body mass index >30.0 kg/m(2)) women exceeded minimum total weight gain recommendations set by the Institute of Medicine (P < 0.01). Physical activity levels were low and declined during pregnancy (5437 ± 2951 steps/day to 4096 ± 2438 steps/day, respectively, P < 0.001). Despite reduced activity levels, increased weight gain and high GDM incidence many women did not accurately perceive GDM risk and were confident in their ability to control weight. A significant association with physical activity, weight and GDM outcome was not observed. CONCLUSIONS Overweight and obese pregnant women at risk for developing GDM demonstrate excessive weight gain and a reduced level of physical activity observed from early pregnancy to 28 weeks of gestation. Results highlight the need for targeted intervention in women at risk for developing GDM.
Collapse
Affiliation(s)
- C L Harrison
- School of Public Health and Preventive Medicine, Monash University, Clayton, Victoria, Australia
| | | | | |
Collapse
|
36
|
Moran LJ, Harrison CL, Hutchison SK, Stepto NK, Strauss BJ, Teede HJ. Exercise decreases anti-müllerian hormone in anovulatory overweight women with polycystic ovary syndrome: a pilot study. Horm Metab Res 2011; 43:977-9. [PMID: 21989557 DOI: 10.1055/s-0031-1291208] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.0] [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] [Indexed: 10/16/2022]
Abstract
Polycystic ovary syndrome (PCOS) is a common condition in women associated with menstrual irregularity and anovulation. While obesity worsens and weight loss or exercise improves reproduction function in PCOS, the mechanism for this is unclear. The aim of this study was to examine the effect of exercise on ovarian hormones [anti-Müllerian hormone (AMH)] and menstrual and ovulatory function in women with and without PCOS. Overweight women with (n=7) and without (n=8) PCOS of comparable age, weight and BMI undertook a 12-week intensified endurance exercise training program (1 h 3 times/week) with no structured energy restriction. Primary outcomes were AMH, ovulation (weekly urinary pregnanediol) and menstrual regularity. Secondary outcomes were insulin resistance (euglycemic hyperinsulinemic clamp) and body composition (computed tomography and dual X-ray absorptiometry). Exercise decreased BMI, total and android fat mass and improved insulin sensitivity for all women. AMH was significantly higher in women with PCOS compared to controls before (p<0.001) and after exercise (p=0.001). There was a significant interaction between AMH changes with exercise and PCOS status (p=0.007) such that women without PCOS had no change in AMH (+1.4±5.2 pmol/l, p=0.48) while women with PCOS had a decrease in AMH (- 13.2±11.7 pmol/l, p=0.025). Exercise is associated with improvements in ovarian hormones in women with abnormal ovarian function. This suggests that mechanisms associated with ovarian dysfunction can be improved by exercise in PCOS.
Collapse
Affiliation(s)
- L J Moran
- The Jean Hailes Foundation for Women’s Health Research Unit, School of Public Health and Preventive Medicine,Monash University, Clayton, Victoria, Australia.
| | | | | | | | | | | |
Collapse
|
37
|
Moran LJ, Cameron JD, Strauss BJ, Teede HJ. Vascular function in the diagnostic categories of polycystic ovary syndrome. Hum Reprod 2011; 26:2192-9. [DOI: 10.1093/humrep/der159] [Citation(s) in RCA: 24] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
|
38
|
Deeks AA, Gibson-Helm ME, Paul E, Teede HJ. Is having polycystic ovary syndrome a predictor of poor psychological function including anxiety and depression? Hum Reprod 2011; 26:1399-407. [PMID: 21436137 DOI: 10.1093/humrep/der071] [Citation(s) in RCA: 104] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND The impact of metabolic and reproductive features of polycystic ovary syndrome (PCOS) compromises psychological functioning. We investigated factors associated with negative psychological functioning to determine whether they were predictive of anxiety and depression in PCOS. METHODS A cross-sectional study was performed by questionnaire in 177 women with PCOS (mean ± SD age 32.8 ± 7.8 years) and 109 healthy controls (mean age 41.9 ± 15.4 years). Main outcome measures were anxiety and depression, measured using the Hospital Anxiety Depression Scale (HADS) and Multidimensional Body-Self Relations Questionnaire (MBSRQ), respectively. RESULTS Women with PCOS, compared with control women, had a higher mean anxiety HADS score (9.5 ± 3.9 versus 6.5 ± 3.6; P < 0.001), a higher mean depression score (5.7 ± 3.7 versus 3.3 ± 3.1; P < 0.001) and more negative body image in 7 out of 10 subscales of the MBSRQ. Multivariate regression analysis in PCOS showed that anxiety was predicted by self-worth (P < 0.0001), health evaluation (P = 0.005), time taken to diagnose PCOS (P = 0.003) and age (P = 0.02), while in control women, anxiety was predicted by self-worth (P = 0.009), health evaluation (P = 0.001) and rural living (P = 0.03). Depression in PCOS was predicted by self-worth (P = 0.0004), quality of life (QOL) (P = 0.004), fitness orientation (P = 0.002), appearance evaluation (P = 0.001) and time to diagnosis (P = 0.03) and in women without PCOS, by self-worth (P < 0.0001), QOL (P < 0.0001), illness orientation (P = 0.001) and appearance orientation (P = 0.02). CONCLUSIONS Women with PCOS have increased anxiety, depression and negative body image compared with women without PCOS. In women with or without PCOS, body image and self-worth are predictors of both anxiety and depression, while QOL also predicts only depression. Time taken to diagnose PCOS is associated with poor psychological functioning.
Collapse
Affiliation(s)
- A A Deeks
- The Jean Hailes Research Unit, School of Public Health and Preventive Medicine, Monash University, Locked Bag 29, Clayton, Victoria 3168, Australia.
| | | | | | | |
Collapse
|
39
|
|
40
|
Abstract
BACKGROUND Osteoporosis is a major healthcare issue with over 50% of postmenopausal women suffering an osteoporosis-related fracture. Vertebral fractures, the commonest, are often asymptomatic, unrecognised and untreated. AIMS In a high risk population we aimed to screen for vertebral fractures with a lateral chest X-ray then to intervene to highlight risk and improve fracture prevention. METHODS In this prospective interventional study, 104 postmenopausal women, presenting to hospital for unrelated conditions, were recruited. A baseline lateral chest X-ray and fracture risk questionnaire was completed with a follow-up questionnaire at 12 months. Where fractures were detected the study team intervened through correspondence, including evidence-based guidelines recommending investigations and management to patients and general practitioners. RESULTS Ninety-six women had a lateral chest X-ray with 53 (55%) having vertebral fractures. Sixty-five women completed baseline questionnaires and 64/65 had a calculated 5-year fracture risk greater than 10%. At 12 months, 21% were commenced or continued on bisphosphonates with 17% adhering to therapy while eight had sustained a subsequent symptomatic fracture and eight women had died. CONCLUSIONS Fifty-five per cent of women over 65 years, presenting to hospital with unrelated medical conditions, had a previous minimal trauma vertebral fracture on lateral chest X-ray. Potentially, a lateral chest X-ray may provide a simple effective screening tool for osteoporotic fracture in this high-risk population. Despite notification and recommendations to both patients and general practitioners, treatment uptake was poor, highlighting the need for further research into risk perception and behaviour change in both practitioners and patients.
Collapse
Affiliation(s)
- H J Teede
- Jean Hailes Foundation for Women's Health Research Group, Monash University, Australia.
| | | | | | | |
Collapse
|
41
|
Moran LJ, Meyer C, Hutchison SK, Zoungas S, Teede HJ. Novel inflammatory markers in overweight women with and without polycystic ovary syndrome and following pharmacological intervention. J Endocrinol Invest 2010; 33:258-65. [PMID: 19834313 DOI: 10.1007/bf03345790] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.1] [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] [Indexed: 12/15/2022]
Abstract
BACKGROUND Polycystic ovary syndrome (PCOS) is associated with reproductive and metabolic abnormalities. AIM The aim of this study was to assess novel inflammatory markers [adipokines leptin, adiponectin, and leptinadiponectin ratio (L/A)] in overweight women with and without PCOS and to examine alterations in these markers [aldosterone, leptin, adiponectin, and L/A] with pharmacological interventions modulating insulin resistance (IR) in PCOS. MATERIALS/SUBJECTS AND METHODS Overweight age, and body mass index (BMI)-matched women with (no.=80) or without PCOS (no.=27) were assessed cross-sectionally. Subjects with PCOS were then randomised to 6 months metformin (1 g b.d, no.=26) or oral contraceptive pill (OCP) (35 g ethinyl estradiol/2 mg cytoproterone acetate, no.=30). Outcome measures were leptin, adiponectin, L/A, aldosterone, highly sensitive C-reactive protein, lipid profile, IR, and androgen levels. RESULTS Leptin levels were lower (156.4+/-85.9 vs 208.5+/-105.2 ng/ml, p=0.015) while adiponectin and L/A were not different between women with and without PCOS. Following intervention, IR increased for the OCP and decreased for metformin, however leptin and aldosterone decreased equivalently with the OCP and metformin with no difference between each treatment (p=0.583 and p=0.801, respectively). There was no change in adiponectin or L/A with the OCP or metformin. On multiple regression, the only baseline predictor of leptin was BMI (r(2)=0.485, p<0.001) and the strongest predictor of change in leptin was change in weight (r(2)=0.402, p<0.001). CONCLUSIONS Alterations in leptin between women with and without PCOS and following pharmacological interventions are primarily related to adiposity and not IR. Aldosterone was reduced equivalently with metformin and the OCP despite differential effects on IR.
Collapse
Affiliation(s)
- L J Moran
- The Jean Hailes Foundation for Women's Health, Monash Institute of Health Services Research, Monash University, Clayton, Victoria 3168, Australia.
| | | | | | | | | |
Collapse
|
42
|
Zoungas S, Lui M, Kerr PG, Teede HJ, McNeil JJ, McGrath BP, Polkinghorne KR. Advanced chronic kidney disease, cardiovascular events and the effect of diabetes: data from the Atherosclerosis and Folic Acid Supplementation Trial. Intern Med J 2010; 41:825-32. [DOI: 10.1111/j.1445-5994.2010.02226.x] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
|
43
|
Teede HJ, Liang YL, Kotsopoulos D, Zoungas S, Craven R, McGrath BP. Placebo-controlled trial of transdermal estrogen therapy alone in postmenopausal women: effects on arterial compliance and endothelial function. Climacteric 2009. [DOI: 10.1080/cmt.5.2.160.169] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
|
44
|
|
45
|
Teede HJ, Jayasuriya IA, Gilfillan CP. Fracture prevention strategies in patients presenting to Australian hospitals with minimal-trauma fractures: a major treatment gap. Intern Med J 2007; 37:674-9. [PMID: 17894764 DOI: 10.1111/j.1445-5994.2007.01503.x] [Citation(s) in RCA: 49] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
BACKGROUND The aim of this study was to examine current fracture prevention strategies through the recognition, investigation and treatment of osteoporosis in patients presenting to acute hospitals with minimal-trauma fracture. METHODS A retrospective audit using a standardized database was conducted in 16 Australian hospitals. This involved 1829 cases of minimal-trauma fracture initially presenting to hospital emergency departments during 2003-2005. Cases of minimal-trauma fracture were retrospectively identified using diagnosis-related group fracture codes and case record review at each site. Relevant data were entered into a standardized database and analysed centrally and independently. Risk factors for osteoporosis, investigations, interventions and discharge follow up were recorded. RESULTS The percentage of minimal-trauma fracture patients who underwent investigation or initiated therapy designed to prevent subsequent minimal-trauma fracture was obtained. Less than 13% of patients presenting to hospital with minimal-trauma fractures had risk factors for fracture identified. Ten per cent were appropriately investigated, 12% were commenced on calcium and 12% on vitamin D. Eight per cent started bisphosphonates and 1% selective oestrogens receptor modulators in the acute setting. CONCLUSION Most patients presenting to Australian hospitals with minimal-trauma fracture are neither investigated nor treated for osteoporosis. As this group is at high risk of subsequent fracture, this is a missed opportunity to reduce fracture burden.
Collapse
Affiliation(s)
- H J Teede
- Department of Endocrinology and Diabetes Southern Health, Monash Institute of Public Health Research, Melbourne, Victoria, Australia.
| | | | | |
Collapse
|
46
|
Abstract
1. It has long been hypothesized that oestrogen may be cardioprotective. This hypothesis is supported by diverse and comprehensive mechanistic studies in animals and humans. Consistently, in observational studies, oestrogen use in post-menopausal women significantly reduced cardiovascular disease. Contrastingly, large interventional trials focusing on chronic disease prevention in older post-menopausal women have suggested neutral (oestrogen alone) or adverse (combined oestrogen/progestin preparations) cardiovascular effects. 2. The negative initial interpretation and extrapolation of the early randomized, controlled interventional trials, primarily the Women's Health Initiative, has recently been theoretically reconciled with the positive mechanistic and observational studies. As a new interventional literature emerges, it has been suggested that if oestrogen is used from menopause onwards it is likely to be protective, but if instituted after endothelial damage has occurred in an oestrogen-deficient post-menopausal state, the beneficial vessel wall effects are not observed and the procoagulant effects result in overall increased cardiovascular risk. 3. The present article reviews the literature on arterial function and oestrogen use in the setting of the early endothelial protection theory. This theory is generally supported by the data on oestrogen effects on arterial function. In general, in studies of premenopausal women the effects of oestrogen were positive, with similar benefits noted if oestrogen was used early after menopause. However, where hormone therapy was commenced some years after menopause, the beneficial effects on arterial function were not observed. In clinical practice, hormone therapy is primarily used at menopause for the treatment of menopausal symptoms. The data on arterial function reviewed herein, along with emerging interventional human studies, suggest that the cardiovascular effects of this practice are not adverse.
Collapse
Affiliation(s)
- H J Teede
- The Jean Hailes Foundation for Women's Health, Monash Institute for Health Services Research and Diabetes Unit, Southern Health, Melbourne, Victoria, Australia.
| |
Collapse
|
47
|
Abstract
Polycystic ovary syndrome is the most common endocrinopathy of reproductive aged women affecting 6-10% of the population. Traditionally considered a reproductive disorder manifesting as chronic anovulation, infertility, and hyperandrogenism, management has primarily focused on short-term reproductive outcomes. Recently, however, significant metabolic aspects in conjunction with longer-term health sequealae of PCOS have been recognized. The metabolic features are primarily related to underlying insulin resistance (IR), which is now understood to play an important role in both the pathogenesis and long-term sequelae of PCOS.
Collapse
Affiliation(s)
- H J Teede
- Jean Hailes Research Group, Monash University Institute of Health Services Research and Diabetes Unit Southern Health, Melbourne, Australia.
| | | | | | | |
Collapse
|
48
|
Teede HJ, Norman R. Polycystic ovarian syndrome: insights into the enigma that is PCOS today. Endocrine 2006; 30:1-2. [PMID: 17185785 DOI: 10.1385/endo:30:1:1] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/20/2006] [Revised: 03/20/2006] [Accepted: 07/06/2006] [Indexed: 11/11/2022]
Affiliation(s)
- H J Teede
- Jean Hailes Research Group, Monash University Institute of Health Services Research and Diabetes unit Southern Health, Melbourne, Australia.
| | | |
Collapse
|
49
|
Teede HJ, Hutchison S, Zoungas S, Meyer C. Insulin resistance, the metabolic syndrome, diabetes, and cardiovascular disease risk in women with PCOS. Endocrine 2006; 30:45-53. [PMID: 17185791 DOI: 10.1385/endo:30:1:45] [Citation(s) in RCA: 93] [Impact Index Per Article: 5.2] [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: 12/11/2005] [Revised: 11/30/1999] [Accepted: 12/11/2005] [Indexed: 11/11/2022]
Abstract
Polycystic ovary syndrome is the most common endocrinopathy of reproductive aged women affecting 6-10% of the population. Traditionally considered a reproductive disorder manifesting as chronic anovulation, infertility, and hyperandrogenism, management has primarily focused on short-term reproductive outcomes. Recently, however, significant metabolic aspects in conjunction with longer-term health sequealae of PCOS have been recognized. The metabolic features are primarily related to underlying insulin resistance (IR), which is now understood to play an important role in both the pathogenesis and long-term sequelae of PCOS.
Collapse
Affiliation(s)
- H J Teede
- Jean Hailes Research Group, Monash University Institute of Health Services Research and Diabetes Unit Southern Health, Melbourne, Australia.
| | | | | | | |
Collapse
|
50
|
Abstract
CONTEXT Polycystic ovary syndrome (PCOS) is associated with insulin resistance (IR) and the metabolic syndrome. There are no adequate data demonstrating significantly increased cardiovascular disease (CVD) mortality. In the absence of clinical outcome studies, surrogate markers of early CVD can provide insight into early CVD. OBJECTIVE The aim of this study was to clarify whether overweight women with PCOS have an increased prevalence of cardiovascular risk factors and early CVD, compared with age- and body mass index-matched controls, to determine the contribution of PCOS per se to CVD status. DESIGN AND PATIENTS This was a case control study of 100 overweight women with PCOS and 20 subjects of similar body mass index and age. MAIN OUTCOME MEASURES Noninvasive markers of early CVD [carotid intimal media thickness, pulse wave velocity (PWV), and brachial arterial flow-mediated vasodilation] were measured. Metabolic parameters studied included insulin, glucose, C-reactive protein, lipids, and androgens. RESULTS Subjects with PCOS had elevated testosterone (2.5 +/- 0.2 vs. 1.3 +/- 0.1 nmol/liter), dehydroepiandrosterone sulfate (4.9 +/- 0.3 vs. 3.6 +/- 0.4 mmol/liter), fasting insulin (19.6 +/- 1.4 vs. 6.8 +/- 0.8 microU/ml), and homeostasis model assessment of IR (4.1 +/- 0.3 vs. 1.3 +/- 0.2), compared with controls. In addition, those with PCOS had elevated cholesterol (5.1 +/- 0.1 vs. 4.6 +/- 0.2 mmol/liter) and triglycerides (1.4 +/- 0.1 vs. 0.9 +/- 0.1 mmol/liter), whereas there were no differences in either C-reactive protein or 24-h ambulatory blood pressure parameters. Subjects with PCOS also had increased arterial stiffness (PWV, 7.4 +/- 0.1 vs. 6.6 +/- 0.2 m/sec) and endothelial dysfunction (flow-mediated vasodilation, 9.8 +/- 0.4 vs. 13.3 +/- 0.9), compared with controls. There was no difference in mean intimal media thickness between the groups. Stepwise regression in PCOS subjects showed that IR and lipids were independent predictors of PWV. CONCLUSION Overweight women with PCOS have increased cardiovascular risk factors and evidence of early CVD, compared with weight-matched controls, potentially related to IR.
Collapse
Affiliation(s)
- C Meyer
- Monash University Department of Medicine, Dandenong Hospital, Melbourne, Victoria 3175, Australia
| | | | | |
Collapse
|