Effects of a preconception lifestyle intervention in obese infertile women on diet and physical activity; : A secondary analysis of a randomized controlled trial

Funding: The LIFEstyle study was funded by ZonMw, the Dutch Organization for Health Research and Development, grant number: 50- 50110-96-518. TvE is supported by grants from the Dutch Heart Foundation (2013T085) and the European Commission (Horizon2020 project 633595 DynaHealth). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscriptPeer reviewedPublisher PD

Effect of a lifestyle intervention in obese infertile women on cardiometabolic health and quality of life:A randomized controlled trial

BACKGROUND:The prevalence of obesity, an important cardiometabolic risk factor, is rising in women. Lifestyle improvements are the first step in treatment of obesity, but the success depends on factors like timing and motivation. Women are especially receptive to advice about lifestyle before and during pregnancy. Therefore, we hypothesize that the pre-pregnancy period provides the perfect window of opportunity to improve cardiometabolic health and quality of life of obese infertile women, by means of a lifestyle intervention. METHODS AND FINDINGS:Between 2009-2012, 577 infertile women between 18 and 39 years of age, with a Body Mass Index of ≥ 29 kg/m2, were randomized to a six month lifestyle intervention preceding infertility treatment, or to direct infertility treatment. The goal of the intervention was 5-10% weight loss or a BMI < 29 kg/m2. Cardiometabolic outcomes included weight, waist- and hip circumference, body mass index, systolic and diastolic blood pressure, fasting glucose and insulin, HOMA-IR, hs-CRP, lipids and metabolic syndrome. All outcomes were measured by research nurses at randomization, 3 and 6 months. Self-reported quality of life was also measured at 12 months. Three participants withdrew their informed consent, and 63 participants discontinued the intervention program. Intention to treat analysis was conducted. Mixed effects regression models analyses were performed. Results are displayed as estimated mean differences between intervention and control group. Weight (-3.1 kg 95% CI: -4.0 to -2.2 kg; P < .001), waist circumference (-2.4 cm 95% CI: -3.6 to -1.1 cm; P < .001), hip circumference (-3.0 95% CI: -4.2 to -1.9 cm; P < .001), BMI (-1.2 kg/m2 95% CI: -1.5 to -0.8 kg/m2; P < .001), systolic blood pressure (-2.8 mmHg 95% CI: -5.0 to -0.7 mmHg; P = .01) and HOMA-IR (-0.5 95% CI: -0.8 to -0.1; P = .01) were lower in the intervention group compared to controls. Hs-CRP and lipids did not differ between groups. The odds ratio for metabolic syndrome in the intervention group was 0.53 (95% CI: 0.33 to 0.85; P < .01) compared to controls. Physical QoL scores were higher in the lifestyle intervention group (2.2 95% CI: 0.9 to 3.5; P = .001) while mental QoL scores did not differ. CONCLUSIONS:In obese infertile women, a lifestyle intervention prior to infertility treatment improves cardiometabolic health and self-reported physical quality of life (LIFEstyle study: Netherlands Trial Register: NTR1530)

Can We Predict Vesicovaginal or Rectovaginal Fistula Formation in Patients With Stage IVA Cervical Cancer?

Introduction: Patients with cervical carcinoma that invade the bladder or rectum ( International Federation of Obstetrics and Gynecology stage IVA) have a high risk to develop vesicovaginal and/or rectovaginal fistulae. If we could identify pretreatment factors that predict fistula formation, these patients could be offered less debilitating treatment. Materials and Methods: Data were retrieved from the database of consecutive patients diagnosed with stage IVA cervical cancer from 1992 to 2008. Overall survival and fistula-free survival were calculated using the Kaplan-Meier method. Univariate and multivariate Cox regression analyses were used to study the association between pretreatment prognostic variables and fistula formation. Results: Thirty patients with stage IVA cervical cancer were diagnosed. Extension to the bladder was present in 27 patients; three patients had only rectal involvement. Twenty-three patients (77%) had curative radiotherapy with or without chemotherapy and/or hyperthermia. Seven patients (23%) received only palliative therapy or no treatment at all. The 5-year overall survival in the curatively treated group was 42%. Five (22%) of these 23 patients developed one or more fistulae: 3 vesicovaginal, 1 rectovaginal, and 1 vesicovaginal and rectovaginal fistulae. The 5-year fistula-free survival of this group was 64%. No significant association was found between the prognostic variables and fistula formation. Conclusions: The risk to develop vesicovaginal and/or rectovaginal fistulae is high after curative radiotherapy with or without chemotherapy and/or hyperthermia in patients with stage IVA cervical cancer. We could not identify further pretreatment factors that might have predicted fistula formatio

Determinants of successful lifestyle change during a 6-month preconception lifestyle intervention in women with obesity and infertility

PURPOSE: To identify demographic, (bio)physical, behavioral, and psychological determinants of successful lifestyle change and program completion by performing a secondary analysis of the intervention arm of a randomized-controlled trial, investigating a preconception lifestyle intervention. METHODS: The 6-month lifestyle intervention consisted of dietary counseling, physical activity, and behavioral modification, and was aimed at 5-10% weight loss. We operationalized successful lifestyle change as successful weight loss (≥ 5% weight/BMI ≤ 29 kg/m2), weight loss in kilograms, a reduction in energy intake, and an increase in physical activity during the intervention program. We performed logistic and mixed-effect regression analyses to identify baseline factors that were associated with successful change or program completion. RESULTS: Women with higher external eating behavior scores had higher odds of successful weight loss (OR 1.10, 95% CI 1.05-1.16). Women with the previous dietetic support lost 0.94 kg less during the intervention period (95% CI 0.01-1.87 kg). Women with higher self-efficacy reduced energy intake more than women with lower self-efficacy (p < 0.01). Women with an older partner had an increased energy intake (6 kcal/year older, 95% CI 3-13). A high stage of change towards physical activity was associated with a higher number of daily steps (p = 0.03). A high stage of change towards weight loss was associated with completion of the intervention (p = 0.04). CONCLUSIONS: Determinants of lifestyle change and program completion were: higher external eating behavior, not having received previous dietetic support, high stage of change. This knowledge can be used to identify women likely to benefit from lifestyle interventions and develop new interventions for women requiring alternative support. TRIAL REGISTRATION: The LIFEstyle study was registered at the Dutch trial registry (NTR 1530; http://www.trialregister.nl/trialreg/admin/rctview.asp?TC=1530 )

Prevalence of metabolic syndrome, at baseline, three and six months, by randomization group.

<p>Prevalence of metabolic syndrome, at baseline, three and six months, by randomization group.</p

Cardiometabolic outcomes at baseline (mean (standard error (SE))), three and six months for the intervention and control group, unless stated otherwise.

<p>Cardiometabolic outcomes at baseline (mean (standard error (SE))), three and six months for the intervention and control group, unless stated otherwise.</p

Maternal outcomes by quartile of BMI change.

<p>Maternal outcomes by quartile of BMI change.</p

Flowchart of participants.

<p>Baseline values are based on number of participants for whom BMI was available. Due to intercurrent pregnancies, or reaching the goal of the intervention prior to 24 weeks (BMI<29 kg/m2 or >5% weight loss) or because participants did not attend the hospital visit, the numbers of participants are decreasing over time.</p

Flowchart of the analysis.

<p>Flowchart of the analysis.</p

Periconceptional weight change in the intervention and control group.

<p>Periconceptional weight change in the intervention and control group.</p