Sanjeeva Ranasinha

Association of gestational weight gain with maternal and infant outcomes: A systematic review and meta-analysis

Importance Body mass index (BMI) and gestational weight gain are increasing globally. In 2009, the Institute of Medicine (IOM) provided specific recommendations regarding the ideal gestational weight gain. However, the association between gestational weight gain consistent with theIOM guidelines and pregnancy outcomes is unclear. Objective To perform a systematic review, meta-analysis, and metaregression to evaluate associations between gestational weight gain above or below the IOM guidelines (gain of 12.5-18 kg for underweight women [BMI <18.5]; 11.5-16 kg for normal-weight women [BMI 18.5-24.9]; 7-11 kg for overweight women [BMI 25-29.9]; and 5-9 kg for obese women [BMI ≥30]) and maternal and infant outcomes. Data Sources and Study Selection Search of EMBASE, Evidence-Based Medicine Reviews, MEDLINE, and MEDLINE In-Process between January 1, 1999, and February 7, 2017, for observational studies stratified by prepregnancy BMI category and total gestational weight gain. Data Extraction and Synthesis Data were extracted by 2 independent reviewers. Odds ratios (ORs) and absolute risk differences (ARDs) per live birth were calculated using a random-effects model based on a subset of studies with available data. Main Outcomes and Measures Primary outcomes were small for gestational age (SGA), preterm birth, and large for gestational age (LGA). Secondary outcomes were macrosomia, cesarean delivery, and gestational diabetes mellitus. Results Of 5354 identified studies, 23 (n = 1 309 136 women) met inclusion criteria. Gestational weight gain was below or above guidelines in 23% and 47% of pregnancies, respectively. Gestational weight gain below the recommendations was associated with higher risk of SGA (OR, 1.53 [95% CI, 1.44-1.64]; ARD, 5% [95% CI, 4%-6%]) and preterm birth (OR, 1.70 [1.32-2.20]; ARD, 5% [3%-8%]) and lower risk of LGA (OR, 0.59 [0.55-0.64]; ARD, −2% [−10% to −6%]) and macrosomia (OR, 0.60 [0.52-0.68]; ARD, −2% [−3% to −1%]); cesarean delivery showed no significant difference (OR, 0.98 [0.96-1.02]; ARD, 0% [−2% to 1%]). Gestational weight gain above the recommendations was associated with lower risk of SGA (OR, 0.66 [0.63-0.69]; ARD, −3%; [−4% to −2%]) and preterm birth (OR, 0.77 [0.69-0.86]; ARD, −2% [−2% to −1%]) and higher risk of LGA (OR, 1.85 [1.76-1.95]; ARD, 4% [2%-5%]), macrosomia (OR, 1.95 [1.79-2.11]; ARD, 6% [4%-9%]), and cesarean delivery (OR, 1.30 [1.25-1.35]; ARD, 4% [3%-6%]). Gestational diabetes mellitus could not be evaluated because of the nature of available data. Conclusions and Relevance In this systematic review and meta-analysis of more than 1 million pregnant women, 47% had gestational weight gain greater than IOM recommendations and 23% had gestational weight gain less than IOM recommendations. Gestational weight gain greater than or less than guideline recommendations, compared with weight gain within recommended levels, was associated with higher risk of adverse maternal and infant outcomes.

Gestational Diabetes and Type 2 Diabetes in Reproductive-Aged Women With Polycystic Ovary Syndrome

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 Womens 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.

The contribution of diet, physical activity and sedentary behaviour to body mass index in women with and without polycystic ovary syndrome

STUDY QUESTION What is the contribution of diet, physical activity and sedentary behaviour to body mass index (BMI) in women with and without polycystic ovary syndrome (PCOS)? SUMMARY ANSWER PCOS status, higher energy intake and glycaemic index and lower physical activity were independently associated with BMI. WHAT IS KNOWN ALREADY Obesity worsens the clinical features of PCOS and women with PCOS have an elevated prevalence of overweight and obesity. It is not known whether there is a contribution of lifestyle factors such as dietary intake, physical activity or sedentary behaviour to the elevated prevalence of obesity in PCOS. STUDY DESIGN, SIZE, DURATION This study is a population-based observational study with data currently collected at 13 year follow-up. The study commenced in 1996. For this analysis, data are analysed at one time point corresponding to the Survey 5 of the cohort in 2009. At this time 8200 participants remained (58% retention of baseline participants) of which 7466 replied to the questionnaire; 409 self-reported a diagnosis of PCOS and 7057 no diagnosis of PCOS. PARTICIPANTS/MATERIALS, SETTING, METHODS Australian women born in 1973-1978 from the Australian Longitudinal Study on Womens Health. MAIN RESULTS AND THE ROLE OF CHANCE Mean BMI was higher in women with PCOS compared with non-PCOS (29.3 ± 7.5 versus 25.6 ± 5.8 kg/m(2), P < 0.001). Women with PCOS reported a better dietary intake (elevated diet quality and micronutrient intake and lower saturated fat and glycaemic index intake) but increased energy intake, increased sitting time and no differences in total physical activity compared with non-PCOS. PCOS status, higher energy intake and glycaemic index and lower physical activity, as well as age, smoking, alcohol intake, occupation, education and country of birth, were independently associated with BMI. LIMITATIONS, REASONS FOR CAUTION The weaknesses of this study include the self-reported diagnosis of PCOS, and the women not reporting PCOS not having their control status clinically verified which is likely to underrepresent the PCOS population. We are also unable to determine if lifestyle behaviours contributed to the PCOS diagnosis or were altered in response to diagnosis. WIDER IMPLICATIONS OF THE FINDINGS The strengths of this study include the community-based nature of the sample which minimizes selection bias to include women with a variety of clinical presentations. These results are therefore generalizable to a broader population than the majority of research in PCOS examining this research question which are performed in clinic-based populations. This study is in agreement with the literature that PCOS is independently associated with elevated BMI. We provide new insights that diet quality is subtly improved but that sedentary behaviour is elevated in PCOS and that PCOS status, higher energy intake and glycaemic index and lower physical activity are independently associated with BMI. STUDY FUNDING/COMPETING INTEREST(S) L.J.M. was supported by a South Australian Cardiovascular Research Development Program (SACVRDP) Fellowship (AC11S374); a program collaboratively funded by the National Heart Foundation of Australia, the South Australian Department of Health and the South Australian Health and Medical Research Institute, S.A.M. was funded by an Australian Research Council Future Fellowship (FT100100581), S.Z. was funded by a Heart Foundation Career Development Fellowship (ID CR10S5330) and H.J.T. was funded by an NHMRC fellowship (ID 545888). None of the authors has any conflict of interest to declare. TRIAL REGISTRATION NUMBER Not applicable.

Prevalence of Infertility and Use of Fertility Treatment in Women with Polycystic Ovary Syndrome: Data from a Large Community-Based Cohort Study

BACKGROUND Polycystic ovary syndrome (PCOS) affects 6%-21% of women. PCOS is the primary cause of anovulatory infertility, with major health and economic costs, yet we are unaware of any community-based, natural history studies on fertility and fertility treatments published to date. We aim to compare infertility, fertility treatment use, and relationship to body mass index (BMI) in women reporting PCOS to women not reporting PCOS in a community-based population. METHODS This is a cross-sectional analysis of a longitudinal cohort study, the Australian Longitudinal Study on Womens Health (ALSWH). For the ALSWH, women from the general community were randomly selected from the national public insurance database. Mailed survey data were collected at multiple time points. At survey 4, there were 9145 respondents aged 28-33 years. Of 8612 women with known PCOS status, 478 women reported having PCOS. Information regarding fertility status was available for 4856 women. This was the subgroup used in this analysis. The main outcomes measures are self-reported PCOS status, BMI, infertility, and use of fertility therapies including ovulation induction and in vitro fertilization (IVF). Logistic regression was used to examine factors associated with infertility and use of fertility treatment. RESULTS Self-reported PCOS prevalence was 5.8% (95% confidence interval [CI]: 5.3%-6.4%). Infertility was noted by 72% of 309 women reporting PCOS, compared with 16% of 4547 women not reporting PCOS (p<0.001). Infertility was 15-fold higher in women reporting PCOS (adjusted odds ratio 14.9, 95% CI 10.9-20.3), independent of BMI. Of women reporting infertility, there was greater use of fertility hormone treatment, (62%, n=116 vs. 33%, n=162, p<0.001) in women reporting PCOS; however, IVF use was similar. CONCLUSIONS In this community-based cohort of women, infertility and use of fertility hormone treatment was significantly higher in women reporting PCOS. Considering the prevalence of PCOS and the health and economic burden of infertility, strategies to optimize fertility are important.

Ethnicity and the risk of late-pregnancy stillbirth

Objective: To determine if maternal country of birth is associated with the risk of antepartum stillbirth in late pregnancy.

Contraception use and pregnancy outcomes in women with polycystic ovary syndrome: data from the Australian Longitudinal Study on Women's Health

STUDY QUESTION Do contraception use, pregnancy outcome and number of children differ in women with and without polycystic ovary syndrome (PCOS)? SUMMARY ANSWER Women with PCOS were less likely to report use of contraception and more likely to report a miscarriage, whilst number of children was similar between groups. WHAT IS KNOWN ALREADY The oral contraceptive pill is used in the management of PCOS, but the patterns of contraception use in women with PCOS is not known. In women with PCOS who undergo assisted reproduction, the risk of pregnancy loss appears higher, yet pregnancy loss and family size among community-based women with PCOS is not known. STUDY DESIGN, SIZE AND DURATION This is a cross-sectional analysis of a longitudinal cohort study. Mailed survey data were collected at five time points (years 1996, 2000, 2003, 2006 and 2009). Data from respondents to Survey 4 (2006), aged 28-33 (n = 9145, 62% of the original cohort aged 18-23 years) were analysed. PARTICIPANTS/MATERIALS, SETTING, METHODS This study was conducted in a general community setting. Data from participants who responded to the questions on PCOS, contraception and pregnancy outcome were analysed. The main outcome measures were self-reported PCOS, body mass index (BMI), contraception use, pregnancy loss and number of children. MAIN RESULTS AND THE ROLE OF CHANCE In women aged 28-33 years, women with PCOS were less likely to be using contraception (61 versus 79%, P < 0.001) and more likely to be trying to conceive (56 versus 45%, P < 0.001), compared with women not reporting PCOS. A greater proportion of women with PCOS reported pregnancy loss (20 versus 15%, P = 0.003). PCOS was not independently associated with pregnancy loss; however, BMI was independently associated with pregnancy loss in the overweight and obese groups (OR 1.2, 95% CI 1.04-1.4, P = 0.02 and OR 1.4, 95% CI 1.1-1.6, P = 0.001, respectively). Fertility treatment use was also independently associated with pregnancy loss (adjusted OR 3.2, 95% CI 2.4-4.2, P < 0.001). There was no significant difference in number of children between women with and without PCOS. LIMITATIONS, REASON FOR CAUTION PCOS, contraception use and pregnancy outcome data were self-reported. Attrition occurred, but is reasonable compared with similar longitudinal cohort studies. WIDER IMPLICATIONS OF THE FINDINGS This community-based cohort aged 28-33 years provides insights into the contraceptive use, pregnancy loss and family size of a large cohort of unselected women. Women reporting PCOS had lower rates of contraception use and were more likely to be currently trying to conceive, suggesting that they may be aware of potential fertility challenges, yet in those not planning to conceive, contraceptive use was low and further education may be required. Despite prior reports of higher rates of pregnancy loss in PCOS, usually from infertility services, in this community-based population, PCOS was not independently associated with pregnancy loss, yet independent risk factors for pregnancy loss included higher BMI, were higher in PCOS. The number of children per woman was similar in the both groups, albeit with more infertility treatment in PCOS. This may reassure women with PCOS that with access to fertility treatment, family sizes appear similar to women not reporting PCOS.

Preventing Weight Gain in Women in Rural Communities: A Cluster Randomised Controlled Trial

Background Obesity is reaching epidemic proportions in both developed and developing countries. Even modest weight gain increases the risk for chronic illness, yet evidence-based interventions to prevent weight gain are rare. This trial will determine if a simple low-intensity intervention can prevent weight gain in women compared to general health information. Methods and Findings We conducted a 1-yr pragmatic, cluster randomised controlled trial in 41 Australian towns (clusters) randomised using a computer-generated randomisation list for intervention (n = 21) or control (n = 20). Women aged 18 to 50 yr were recruited from the general population to receive a 1-yr self-management lifestyle intervention (HeLP-her) consisting of one group session, monthly SMS text messages, one phone coaching session, and a program manual, or to a control group receiving one general women’s health education session. From October 2012 to April 2014 we studied 649 women, mean age 39.6 yr (+/− SD 6.7) and BMI of 28.8 kg/m2 (+/− SD 6.9) with the primary outcome weight change between groups at 1 yr. The mean change in the control was +0.44 kg (95% CI −0.09 to 0.97) and in the intervention group −0.48kg (95% CI −0.99 to 0.03) with an unadjusted between group difference of −0.92 kg (95% CI −1.67 to −0.16) or −0.87 kg (95% CI −1.62 to −0.13) adjusted for baseline values and clustering. Secondary outcomes included improved diet quality and greater self-management behaviours. The intervention appeared to be equally efficacious across all age, BMI, income, and education subgroups. Loss to follow-up included 23.8% in the intervention group and 21.8% in the control group and was within the anticipated range. Limitations include lack of sensitive tools to measure the small changes to energy intake and physical activity. Those who gained weight may have been less inclined to return for 1 yr weight measures. Conclusions A low intensity lifestyle program can prevent the persistent weight gain observed in women. Key features included community integration, nonprescriptive simple health messages, small changes to behaviour, low participant burden, self-weighing, and delivery including a mix of group, phone, and SMS text reminders. The findings support population strategies to halt the rise in obesity prevalence.

Continuous quality improvement and metabolic screening during pregnancy at primary health centres attended by Aboriginal and Torres Strait Islander women

Objective: To investigate associations between the provision of routine metabolic screening and follow‐up in pregnancy and participation by primary health care centres in a large‐scale continuous quality improvement (CQI) initiative.

Low vitamin D is associated with hypertension in paediatric obesity.

The aim of this paper was to investigate the relationship between circulating 25‐hydroxyvitamin D (25(OH)D) and cardio‐metabolic risk factors in a large cohort of obese youth attending tertiary paediatric obesity services.

A cluster randomised controlled trial of a brief couple-focused psychoeducational intervention to prevent common postnatal mental disorders among women: study protocol.

Introduction Postnatal common mental disorders among women are an important public health problem internationally. Interventions to prevent postnatal depression have had limited success. What Were We Thinking (WWWT) is a structured, gender-informed, psychoeducational group programme for parents and their first infant that addresses two modifiable risks to postnatal mental health. This paper describes the protocol for a cluster randomised controlled trial to test the clinical effectiveness and cost-effectiveness of WWWT when implemented in usual primary care. Methods and analysis 48 maternal and child health (MCH) centres from six diverse Local Government Areas, in Victoria, Australia are randomly allocated to the intervention group (usual care plus WWWT) or the control group (usual care). The required sample size is 184 women in each group. English-speaking primiparous women receiving postpartum healthcare in participating MCH centres complete two computer-assisted telephone interviews: baseline at 4 weeks and outcome at 6 months postpartum. Women attending intervention MCH centres are invited to attend WWWT in addition to usual care. The primary outcome is meeting Diagnostic and Statistical Manual-IV (DSM-IV) diagnostic criteria for major depressive episode; generalised anxiety disorder; panic disorder with or without agoraphobia, agoraphobia with or without panic, social phobia, adult separation anxiety or adjustment disorder with depressed mood, anxiety or mixed depressed mood and anxiety within the past 30 days at 6 months postpartum. Secondary outcomes are self-rated general and emotional health, infant sleep problems, method of infant feeding, quality of mother–infant relationship and intimate partner relationship, and healthcare costs and outcomes. Ethics and dissemination Approval to conduct the study has been granted. A comprehensive dissemination plan has been devised. Trial registration number Australian New Zealand Clinical Trials Registry ACTRN12613000506796. UTN U1111-1125-8208.