Establishing the sensitivity and specificity of the gynaecological cancer distress screen.

OBJECTIVE: Nuanced distress screening tools can help cancer care services manage specific cancer groups' concerns more efficiently. This study examines the sensitivity and specificity of a tool specifically for women with gynaecological cancers (called the Gynaecological Cancer Distress Screen or DT-Gyn). METHODS: This paper presents cross-sectional data from individuals recently treated for gynaecological cancer recruited through Australian cancer care services, partner organisations, and support/advocacy services. Receiver operating characteristics analyses were used to evaluate the diagnostic accuracy of the DT-Gyn against criterion measures for anxiety (GAD-7), depression (patient health questionnaire), and distress (IES-R and K10). RESULTS: Overall, 373 individuals aged 19-91 provided complete data for the study. Using the recognised distress thermometer (DT) cut-off of 4, 47% of participants were classified as distressed, while a cut-off of 5 suggested that 40% had clinically relevant distress. The DT-Gyn showed good discriminant ability across all measures (IES-R: area under the curve (AUC) = 0.86, 95% CI = 0.82-0.90; GAD-7: AUC = 0.89, 95% CI = 0.85-0.93; K10: AUC = 0.88, 95% CI = 0.85-0.92; PHQ-9: AUC = 0.85, 95% CI = 0.81-0.89) and the Youden Index suggested an optimum DT cut-point of 5. CONCLUSIONS: This study established the psychometric properties of the DT-Gyn, a tool designed to identify and manage the common sources of distress in women with gynaecological cancers. We suggest a DT cut point ≥5 is optimal in detecting 'clinically relevant' distress, anxiety, and depression in this population.

Prevalence and predictors of sleep problems in women following a cancer diagnosis: results from the women's wellness after cancer program.

PURPOSE: Using a discrete dataset from the Women's Wellness after Cancer Program (WWACP), we examine the prevalence and predictors of self-reported sleep problems in women previously treated for cancer. METHODS: Participants were 351 women (Mage = 53.2, SD = 8.8) from the WWACP who had completed surgery, chemotherapy and/or radiotherapy for breast, gynaecological or blood cancers within the previous 24 months. Sleep problems were measured using the Pittsburgh Sleep Quality Index (PSQI). Baseline data (i.e. prior to intervention randomisation) were analysed. RESULTS: Most women (59%) reported clinically significant sleep disturbance (PSQI > 5), 40% reported insufficient sleep duration (< 7 h), 38% self-reported poor sleep quality and 28% reported poor habitual sleep efficiency (sleep efficiency < 75%). Fewer psychological and vasomotor climacteric symptoms, age < 45 years and having a partner were associated with reduced odds (AOR < 1) of sleep problems. Higher levels of pain-related disability, and an intermediate compared to 'high' level of education, were associated with increased odds (AOR > 1) of sleep problems. CONCLUSIONS: These findings confirm previous studies that have found a high prevalence of sleep problems in women previously treated for cancer. A range of sociodemographic, climacteric and pain-related factors were associated with sleep problems in this study. IMPLICATIONS FOR CANCER SURVIVORS: Targeted interventions to improve sleep quality after cancer treatment should be explored in this population. Predictors identified in this study could inform intervention targeting and development.

Sleep and health-related quality of life in women following a cancer diagnosis: results from the Women's Wellness after Cancer Program in Australia.

PURPOSE: Sleep disturbance after cancer treatment could compromise recovery. This paper examined the associations between post-treatment sleep problems and health-related quality of life (HRQoL), and the effectiveness of an e-enabled lifestyle intervention on sleep outcomes. METHODS: The Women's Wellness after Cancer Program (WWACP) was examined in a single blinded, multi-centre randomised controlled trial. Data were collected from 351 women (Mage = 53.2, SD = 8.8; intervention n = 175, control group n = 176) who had completed surgery, chemotherapy and/or radiotherapy for breast, gynaecological or blood cancers within the previous 24 months. Participants completed the Pittsburgh Sleep Quality Index (PSQI) at baseline (prior to intervention randomisation), and at 12 and 24 weeks later. Sociodemographic information, menopausal symptoms (Greene Climacteric Scale) and HRQoL (36-Item Short Form Health Survey; SF-36) were also collected. Linear panel regression was used to examine the association between sleep variables and SF36 Physical Component Summary (PCS) and Mental Component Summary (MCS) scores. A difference-in-difference regression model approach was used to examine the intervention effect on the sleep outcomes. RESULTS: After adjustment for potential confounders, the sleep variables (except sleep duration) significantly predicted physical, but not mental, HRQoL. There was no statistically significant effect of the intervention on sleep outcomes at 12 or 24 weeks. CONCLUSION: Women who have completed treatment for cancer experience sleep problems that are associated with decreased physical HRQoL. Improving sleep through targeted interventions should improve their physical HRQoL. Improved targeting of the sleep components of the WWACP should be explored.

Changes in health behaviours in adults at-risk of chronic disease: primary outcomes from the My health for life program.

BACKGROUND: Chronic disease is the leading cause of premature death globally, and many of these deaths are preventable by modifying some key behavioural and metabolic risk factors. This study examines changes in health behaviours among men and women at risk of diabetes or cardiovascular disease (CVD) who participated in a 6-month lifestyle intervention called the My health for life program. METHODS: The My health for life program is a Queensland Government-funded multi-component program designed to reduce chronic disease risk factors amongst at-risk adults in Queensland, Australia. The intervention comprises six sessions over a 6-month period, delivered by a trained facilitator or telephone health coach. The analysis presented in this paper stems from 9,372 participants who participated in the program between July 2017 and December 2019. Primary outcomes included fruit and vegetable intake, consumption of sugar-sweetened drinks and take-away, alcohol consumption, tobacco smoking, and physical activity. Variables were summed to form a single Healthy Lifestyle Index (HLI) ranging from 0 to 13, with higher scores denoting healthier behaviours. Longitudinal associations between lifestyle indices, program characteristics and socio-demographic characteristics were assessed using Gaussian Generalized Estimating Equations (GEE) models with an identity link and robust standard errors. RESULTS: Improvements in HLI scores were noted between baseline (Md = 8.8; IQR = 7.0, 10.0) and 26-weeks (Md = 10.0; IQR = 9.0, 11.0) which corresponded with increases in fruit and vegetable consumption and decreases in takeaway frequency (p < .001 for all) but not risky alcohol intake. Modelling showed higher average HLI among those aged 45 or older (ß = 1.00, 95% CI = 0.90, 1.10, p < .001) with vocational educational qualifications (certificate/diploma: ß = 0.32, 95% CI = 0.14, 0.50, p < .001; bachelor/post-graduate degree ß = 0.79, 95% CI = 0.61, 0.98, p < .001) while being male, Aboriginal or Torres Strait Islander background, or not currently working conferred lower average HLI scores (p < .001 for all). CONCLUSIONS: While participants showed improvements in dietary indicators, changes in alcohol consumption and physical activity were less amenable to the program. Additional research is needed to help understand the multi-level barriers and facilitators of behaviour change in this context to further tailor the intervention for priority groups.

Improving health-related quality of life in women with breast, blood, and gynaecological Cancer with an eHealth-enabled 12-week lifestyle intervention: the women's wellness after Cancer program randomised controlled trial.

BACKGROUND: The residual effects of cancer and its treatment can profoundly affect women's quality of life. This paper presents results from a multisite randomized controlled trial that evaluated the clinical benefits of an e-health enabled health promotion intervention (the Women's Wellness after Cancer Program or WWACP) on the health-related quality of life of women recovering from cancer treatment. METHODS: Overall, 351 women previously treated for breast, blood or gynaecological cancers were randomly allocated to the intervention (WWACP) or usual care arms. The WWACP comprised a structured 12-week program that included online coaching and an interactive iBook that targeted physical activity, healthy diet, stress and menopause management, sexual wellbeing, smoking cessation, alcohol intake and sleep hygiene. Data were collected via a self-completed electronic survey at baseline (t0), 12 weeks (post-intervention, t1) and 24 weeks (to assess sustained behaviour change, t2). The primary outcome, health-related quality of life (HRQoL), was measured using the Short Form Health Survey (SF-36). RESULTS: Following the 12-week lifestyle program, intervention group participants reported statistically significant improvements in general health, bodily pain, vitality, and global physical and mental health scores. Improvements were also noted in the control group across several HRQoL domains, though the magnitude of change was less. CONCLUSIONS: The WWACP was associated with improved HRQoL in women previously treated for blood, breast, and gynaecological cancers. Given how the synergy of different lifestyle factors influence health behaviour, interventions accounting for the reciprocity of multiple health behaviours like the WWACP, have real potential for immediate and sustainable change. TRIAL REGISTRATION: The protocol for this randomised controlled trial was submitted to the Australian and New Zealand Clinical Trials Registry on 15/07/2014 and approved on 28/07/2014 ( ACTRN12614000800628 ).

Determining the psychometric properties of the Greene Climacteric Scale (GCS) in women previously treated for breast cancer: A pooled analysis of data from the Women's Wellness after Cancer Programs.

OBJECTIVES: This paper examines the utility of a common climacteric symptoms scale, the Greene Climacteric Scale (GCS), in two groups of women with a history of breast cancer, those who were at menopause before commencing breast cancer treatment, and those who were not. STUDY DESIGN: This pooled analysis of 297 women previously diagnosed with breast cancer, aged 28-74 years, was undertaken on baseline data from two structured lifestyle interventions: the Women's Wellness After Cancer Program (WWACP) and the Younger Women's Wellness After Cancer Program (YWWACP). Data were split into two data subsets (women who were post-menopausal on commencement of breast cancer treatment and those who were either pre- or peri­menopausal). Multitrait/multi-item analysis was conducted to test scaling assumptions for each group separately. RESULTS: GCS domain scores were positively skewed, with significant floor effects for vasomotor symptoms and ceiling effects for sexual dysfunction. Multitrait analysis showed acceptable convergent validity (77% of items correlated ≥ 0.40 with their hypothesized domains) but weak discriminant validity for anxiety, depression, and somatic symptoms in both groups. The exploratory factor analysis in women who were menopausal at the commencement of breast cancer treatment and those who were not revealed distinct factor structures that accounted for 60.2% and 62.7% of the total variance, respectively. CONCLUSIONS: The original GCS factor structure was not replicated in this sample. Among women previously treated for breast cancer, the presence of multiple concurrent and severe menopausal symptoms with possible treatment-related causes underpins the need for a breast cancer-specific measure to enhance their identification and management. TRIAL IDS, AUSTRALIAN AND NEW ZEALAND CLINICAL TRIALS REGISTRY: WWACP, ACTRN12614000800628; YWWACP, ACTRN12614001087640.

Considerations about risk of ongoing distress: what can we learn from repeat screening?

The importance of routine distress screening in cancer patients is widely acknowledged, though non-compliance with screening protocols is common. Cited reasons for non-adherence include lack of time and expertise and concerns about the resources associated with the identification and management of clinically relevant distress. This commentary examines changes in distress among people with cancer who participated in a tele-based psychosocial intervention, from the point of initial distress screening to 12 months after commencing the intervention. The goal is to contribute to the discussion about the potential infrastructure requirements of implementing screening programs among screening 'hesitant' cancer care services. Secondary analysis showed a general downward distress trajectory though the greatest reduction occurred between recruitment and baseline and before receiving a low-intensity psychosocial intervention (ß = - 1.84, 95% CI - 2.12, - 1.56). While acknowledging transience of distress in some patients, our results support the possible therapeutic benefit of assessing and validating individuals' distress in the hope of preventing the development of more overt health problems associated with undiagnosed and untreated symptoms.

Screening for distress in women with gynaecological cancer: Adaptation of the distress thermometer for gynaecological oncology patients.

OBJECTIVE: Generic distress screening tools may not recognise the unique concerns reported in some cancer populations. The face and content validity of a screening tool derived from the National Cancer Comprehensive Network distress thermometer and problem list and adapted specifically for women with gynaecological cancer is presented. METHODS: Building on existing work, panels of clinicians and researchers, and focus groups with women treated for gynaecological cancer, developed a nuanced distress screening tool. RESULTS: The clinical reference group used an iterative process to reduce 54 items to 22 across four domains (practical/family/psychological/physical). These items were included in the draft tool, which was reviewed by two focus groups of long-term cancer survivors. Participants unanimously thought the tool was necessary though several changes were recommended. The final draft tool contained a global distress score and 25 items across the four domains. CONCLUSIONS: This measure provides a structured screening tool tailored to the concerns of women with gynaecological cancer, enhancing communication between clinicians and their patients about potentially identified and unrecognised sources of distress. Future research will focus on establishing sensitivity and specificity of this tool and further assessing its utility in clinical settings for all gynaecological cancers (including rare cancers like vulvar cancer).

Obesity, smoking, and risk of vasomotor menopausal symptoms: a pooled analysis of eight cohort studies.

BACKGROUND: Frequent and severe vasomotor symptoms during menopause are linked with adverse health outcomes. Understanding modifiable lifestyle factors for the risk of vasomotor menopausal symptoms is important to guide preventive strategies. OBJECTIVE: We investigated the associations between body mass index and smoking, their joint effects with the risk of vasomotor symptoms, and whether the associations differed by menopausal stage. STUDY DESIGN: The International Collaboration for a Life Course Approach to Reproductive Health and Chronic Disease Events pooled data on 21,460 midlife women from 8 studies (median age, 50 years; interquartile range, 49-51 years) for the cross-sectional analysis. Four studies provided data for the prospective analysis (n=11,986). Multinomial logistic regression models with 4 categories of frequency/severity for the outcome of vasomotor symptoms were used to estimate relative risk ratios and 95% confidence intervals that were adjusted for within-study correlation and covariates. RESULTS: At baseline, nearly 60% of the women experienced vasomotor symptoms. One-half of them were overweight (30%) or obese (21%), and 17% were current smokers. Cross-sectional analyses showed that a higher body mass index and smoking more cigarettes with longer duration and earlier initiation were all associated with more frequent or severe vasomotor symptoms. Never smokers who were obese had a 1.5-fold (relative risk ratio, 1.52; 95% confidence interval, 1.35-1.73) higher risk of often/severe vasomotor symptoms, compared with never smokers who were of normal-weight. Smoking strengthened the association because the risk of often/severe vasomotor symptoms was much greater among smokers who were obese (relative risk ratio, 3.02; 95% confidence interval, 2.41-3.78). However, smokers who quit at <40 years of age were at similar levels of risk as never smokers. Prospective analyses showed a similar pattern, but the association attenuated markedly after adjustment for baseline vasomotor symptoms. Furthermore, we found that the association between body mass index and vasomotor symptoms differed by menopausal status. Higher body mass index was associated with increased risk of vasomotor symptoms in pre- and perimenopause but with reduced risk in postmenopause. CONCLUSION: High body mass index (≥25 kg/m2) and cigarette smoking substantially increased women's risk for experiencing frequent or severe vasomotor symptoms in a dose-response manner, and smoking intensified the effect of obesity. However, the effect of body mass index on the risk of vasomotor symptoms was opposite among postmenopausal women. Maintaining a normal weight before the menopausal transition and quitting smoking at <40 years of age may mitigate the excess risk of vasomotor symptoms in midlife.

Life stress and symptoms of anxiety and depression in women after cancer: The mediating effect of stress appraisal and coping.

OBJECTIVE: This paper examines the direct and intermediary relationships between life stress, stress appraisal, and resilience, and increased anxiety and depressive symptoms in Australian women after cancer treatment. METHODS: Data examined from 278 women aged 18 years and older previously treated for breast, gynaecological, or blood cancer, participating in the Australian Women's Wellness after Cancer Program. Serial mediation models interrogated the effect of stressful life events (List of Threatening Experiences-Modified) mediated by appraisal and coping (Perceived Stress Scale and Connor-Davidson Resilience Scale), on symptoms of anxiety and depression (Zung Self-rating Anxiety Scale and Center for Epidemiologic Studies Depression Scale). RESULTS: Over one-quarter (30.2%) of participants reported 1 or more stressful life events, other than their cancer, in the previous 6 months. Results indicate that perceived stress fully mediated the relationships between life stress, anxiety (indirect effect = 0.09, Bias-corrected bootstrap 95% CI 0.02-0.18, Percent mediation = 0.51), and depressive symptoms (indirect effect = 0.11, Bias-corrected bootstrap 95% CI 0.02-0.23, Percent mediation = 0.71) and accounted for more than half of the relationship between predictor and outcome. CONCLUSIONS: Findings indicate that stress appraisal mediated the relationship between past life stressors and anxiety and depressive symptoms. This analysis also highlights the need to consider wellness within a broader care context to identify potentially vulnerable patients to possibly avert future health concerns.

Lifestyle interventions for improving health and health behaviours in women with type 2 diabetes: A systematic review of the literature 2011-2017.

The development and maintenance of healthy lifestyle behaviours are among the most promising strategies for reducing complications and premature death among women living with type 2 diabetes mellitus (T2DM). However, despite the potential benefits of these interventions, they have had varying success and the sustained uptake of the recommended lifestyle modifications is limited. This paper reviews research on the impact of lifestyle interventions aimed at improving health and health behaviours in women with T2DM. In a systematic review of the literature, empirical literature from 2011 to 2017 is examined to explore the effects of various lifestyle interventions on a number of objective and subjective health indicators in women with T2DM. A total of 18 intervention studies in women aged between 21 and 75 years were included in this narrative review. Interventions included education/counselling, exercise, diet, or combined components of varying duration. The included studies used a variety of objective indicators, including glycaemic control, lipid profile and anthropometric indices, as well as a number of diabetes-specific and generic subjective scales (for example, the Diabetes Problem Solving Inventory and the Short Form 36). Significant heterogeneity was noted in the interventions and also the study findings, although exercise interventions tended to yield the most consistent benefit in relation to glycaemic control, while exercise/dietary interventions generally improved anthropometric indices. The findings from this review did not consistently suggest the greater value of any one type of intervention. Future research should consider interventions that target multiple health behaviours and emphasize health literacy, self-efficacy, and problem-solving skills.

Exposure to stress across the life course and its association with anxiety and depressive symptoms: Results from the Australian Women's Wellness After Cancer Program (WWACP).

OBJECTIVES: Earlier life stressors can increase the risk of persistent anxiety and depressive symptoms in women after cancer, though our understanding of the underlying mechanisms is limited. In this study, we tested alternative life course models to determine which best described associations between exposure to stressors in childhood, adolescence, and adulthood, and self-reported health in women previously treated for breast, gynaecological, and blood cancer. STUDY DESIGN: Data were drawn from 351 Australian women within 2 years of completing active cancer treatment who were participating in the Women's Wellness After Cancer Program (WWACP) randomised controlled trial. A model-building framework compared "accumulative risk" and "sensitive period" stress exposure hypotheses with the saturated model to determine best fit. MAIN OUTCOME MEASURES: Symptoms of anxiety and depression were measured using the Center for Epidemiologic Studies Depression Scale (CES-D) and the Zung Self-rating Anxiety Scale (SAS). RESULTS: Participants with the greatest number of stressful life events (SLEs) reported higher anxiety scores and more depressive symptoms. Alternative life course models for psychological distress (measured through the CES-D and SAS) and stress were compared with the saturated model (i.e., the accumulative risk). The more restrictive "sensitive period" models were the best fit for depressive symptoms though none was significantly better than another. In contrast, an "early sensitive" model provided the best fit for anxiety data. CONCLUSIONS: Anxiety scores were higher in women with early life stressors. This study highlights the need for whole-of-life supportive care approaches for women previously treated for cancer, which should include targeted strategies for effective management of stress, anxiety and depression.

The Women's wellness after cancer program: a multisite, single-blinded, randomised controlled trial protocol.

BACKGROUND: Despite advances in cancer diagnosis and treatment have significantly improved survival rates, patients post-treatment-related health needs are often not adequately addressed by current health services. The aim of the Women's Wellness after Cancer Program (WWACP), which is a digitised multimodal lifestyle intervention, is to enhance health-related quality of life in women previously treated for blood, breast and gynaecological cancers. METHODS: A single-blinded, multi-centre randomized controlled trial recruited a total of 351 women within 24 months of completion of chemotherapy (primary or adjuvant) and/or radiotherapy. Women were randomly assigned to either usual care or intervention using computer-generated permuted-block randomisation. The intervention comprises an evidence-based interactive iBook and journal, web interface, and virtual health consultations by an experienced cancer nurse trained in the delivery of the WWACP. The 12 week intervention focuses on evidence-based health education and health promotion after a cancer diagnosis. Components are drawn from the American Cancer Research Institute and the World Cancer Research Fund Guidelines (2010), incorporating promotion of physical activity, good diet, smoking cessation, reduction of alcohol intake, plus strategies for sleep and stress management. The program is based on Bandura's social cognitive theoretical framework. The primary outcome is health-related quality of life, as measured by the Functional Assessment of Cancer Therapy-General (FACT-G). Secondary outcomes are menopausal symptoms as assessed by Greene Climacteric Scale; physical activity elicited with the Physical Activity Questionnaire Short Form (IPAQ-SF); sleep measured by the Pittsburgh Sleep Quality Index; habitual dietary intake monitored with the Food Frequency Questionnaire (FFQ); alcohol intake and tobacco use measured by the Australian Health Survey and anthropometric measures including height, weight and waist-to-hip ratio. All participants were assessed with these measures at baseline (at the start of the intervention), 12 weeks (at completion of the intervention), and 24 weeks (to determine the level of sustained behaviour change). Further, a simultaneous cost-effectiveness evaluation will consider if the WWACP provides value for money and will be reported separately. DISCUSSION: Women treated for blood, breast and gynaecological cancers demonstrate increasingly good survival rates. However, they experience residual health problems that are potentially modifiable through behavioural lifestyle interventions such as the WWACP. TRIAL REGISTRATION: The protocol for this study was registered with the Australian and New Zealand Clinical Trials Registry, Trial ID: ACTRN12614000800628 , July 28, 2014.

Menopausal symptom clusters and their correlates in women with and without a history of breast cancer: a pooled data analysis from the Women's Wellness Research Program.

OBJECTIVES: This analysis examined climacteric symptoms clusters in women with and without breast cancer, and explored how sociodemographic, health, and modifiable lifestyle factors predicted symptom clusters. METHODS: This pooled analysis of four Women's Wellness Research Program (WWRP) studies comprised individual-level data from 969 Australian women aged 40 to 63 years, 293 of whom had been previously treated for breast cancer and 678 without a breast cancer history. Climacteric symptoms, menopausal status, sociodemographic characteristics, and health and lifestyle factors were assessed. Principal component analysis was used to determine symptom clusters for each group separately before linear regression with backwards selection was used to identify the significant correlates of the identified clusters. RESULTS: Women with a history of breast cancer reported more sleep disturbance (P < 0.01), difficulty concentrating (P < 0.01), muscular/joint pain (P < 0.01), crying (P < 0.01) and irritability (P < 0.01), and vasomotor symptoms (P < 0.01) than women from the noncancer group. Principal component analysis with quartimax rotation revealed two distinct solutions explaining 60.9% and 57.6% of the variance in the groups, respectively. For both groups, symptom clusters were increased among those with unhealthy lifestyle behaviors (and chemotherapy among the after cancer group, P < 0.05 for all), though to a lesser extent in the breast cancer group. CONCLUSIONS: In this study, women after treatment for breast cancer reported a broad range of bothersome climacteric symptoms. Similar symptom clusters were also noted for women with and without a history of breast cancer, though correlates differed across groups, and might reflect different underlying etiologies.

Factors predicting barriers to exercise in midlife Australian women.

OBJECTIVES: Chronic diseases are the leading cause of death and disability worldwide. They are, though, largely attributable to modifiable lifestyle risk factors, including lack of exercise. This study aims to investigate what factors predict perceptions of barriers to exercise in midlife women. STUDY DESIGN: This cross-sectional descriptive study collected data from midlife Australian women by online questionnaire. Volunteers aged between 40 and 65 years were recruited following media publicity about the study. MAIN OUTCOME MEASURES: The primary outcome measure was perceived exercise barriers (EBBS Barriers sub-scale). Other self-report data included: exercise, smoking, alcohol, fruit and vegetable consumption, body mass index, physical and mental health and well-being (MOS SF-12v2) and exercise self-efficacy. RESULTS: On average, the 225 participants were aged 50.9 years (SD=5.9). The significant predictors of perceived barriers to exercise were perceived benefits of exercise, exercise self-efficacy, physical well-being and mental well-being. These variables explained 41% of the variance in the final model (F (8219)=20.1, p<.01) CONCLUSIONS: In midlife women, perceptions of barriers to exercise correlate with beliefs about the health benefits of exercise, exercise self-efficacy, physical and mental well-being. These findings have application to health promotion interventions targeting exercise behaviour change in midlife women.

Decreasing menopausal symptoms in women undertaking a web-based multi-modal lifestyle intervention: The Women's Wellness Program.

Menopausal transition can be challenging for many women. This study tested the effectiveness of an intervention delivered in different modes in decreasing menopausal symptoms in midlife women. The Women's Wellness Program (WWP) intervention was delivered to 225 Australian women aged between 40 and 65 years through three modes (i.e., on-line independent, face-to-face with nurse consultations, and on-line with virtual nurse consultations). All women in the study were provided with a 12-week Program Book outlining healthy lifestyle behaviors while women in the consultation groups were supported by a registered nurse who provide tailored health education and assisted with individual goal setting for exercise, healthy eating, smoking and alcohol consumption. Pre- and post-intervention data were collected on menopausal symptoms (Greene Climacteric Scale), health related quality of life (SF12), and modifiable lifestyle factors. Linear mixed-effect models showed an average 0.87 and 1.23 point reduction in anxiety (p<0.01) and depression scores (p<0.01) over time in all groups. Results also demonstrated reduced vasomotor symptoms (ß=-0.19, SE=0.10, p=0.04) and sexual dysfunction (ß=-0.17, SE=0.06, p<0.01) in all participants though women in the face-to-face group generally reported greater reductions than women in the other groups. This lifestyle intervention embedded within a wellness framework has the potential to reduce menopausal symptoms and improve quality of life in midlife women thus potentially enhancing health and well-being in women as they age. Of course, study replication is needed to confirm the intervention effects.

Facilitating lifestyle changes to manage menopausal symptoms in women with breast cancer: a randomized controlled pilot trial of The Pink Women's Wellness Program.

OBJECTIVE: Women diagnosed as having breast cancer may experience difficulties with posttreatment effects such as menopausal symptoms. The aims of this pilot study were to (1) evaluate the impact of a multimodal lifestyle program on reducing menopausal symptoms in women with breast cancer and (2) examine the impact of the program on health-related quality of life (HRQoL) and adherence to lifestyle recommendations. METHODS: Overall, 55 women aged 45 to 60 years with one moderate to severe menopausal symptom and a history of breast cancer were randomized into an intervention group (n = 26) or a control group (n = 29). Women in the intervention group received a lifestyle intervention (The Pink Women's Wellness Program) that included clinical consultations and a tailored health education program. Measurements of menopausal symptoms (Greene Climacteric Scale), HRQoL (SF-12 and Functional Assessment of Cancer Therapy-Breast), and modifiable lifestyle factors (food intake, physical activity, smoking and alcohol use, and sleep disturbance) were taken at baseline and 12 weeks. RESULTS: Women in the intervention group reported clinically significant reductions in many menopausal symptoms, specifically somatic symptoms (d = 0.52), vasomotor symptoms (d = 0.55), sexual dysfunction (d = .65), and overall menopausal symptoms (d = 0.54), at 12 weeks compared with the control group (d = 0.03, d = 0.24, d = 0.18, and d = 0.05, respectively). Women in the intervention group reported improvements in Functional Assessment of Cancer Therapy-Breast subscale scores, physical well-being and functional well-being, and Functional Assessment of Cancer Therapy-General total scores (intervention group: d = 0.54, d = 0.50, and d = 0.48, respectively; control group: d = 0.22, d = 0.11, and d = 0.05, respectively). CONCLUSIONS: The Pink Women's Wellness Program is effective in decreasing menopausal symptoms, thus improving HRQoL. This being a pilot study, further research is recommended to investigate the benefits of combining nonpharmacological interventions for women with breast cancer to reduce their treatment-related menopausal symptoms.

Prevalence and correlates of sleep disturbance in postmenopausal women: the Australian Healthy Aging of Women (HOW) Study.

BACKGROUND: Sleep disturbance in midlife women has been studied extensively, although less is known about sleep after menopause. This study examined the relative impact of sociodemographics, modifiable lifestyle factors, and health status on sleep disturbance in postmenopausal women from Queensland, Australia. METHODS: The longitudinal Healthy Aging of Women (HOW) Study examines health-related quality of life (HRQOL measured by the 12-item Short Form [SF-12(®)] survey [Medical Outcomes Trust, Hanover, CA]); chronic illness; modifiable lifestyle factors, such as physical activity, alcohol consumption, smoking; and sleep disturbance (General Sleep Disturbance Scale [GSDS] (Lee, San Francisco, CA) ≥43 represents poor sleep) in midlife and older women from low- and high-socioeconomic rural and urban areas of South East Queensland, Australia. This article presents cross-sectional data from the 322 women, aged 60-70 years, participating in the HOW study in 2011. RESULTS: For women in this study, sleep disturbance was relatively common, with 23% (n=83) reporting poor sleeping (GSDS ≥43). Sleep-disturbance scores were strongly correlated with being unemployed or on a disability support pension (ß=18.69, p<0.01), sedentary lifestyle (ß=23.84, p<0.01), and lower mental (ß=-0.60, p<0.01) and physical HRQOL scores (ß=-0.32, p=0.01), and these variables explained almost one-third of variance in sleep-disturbance scores (ηρ(2)=29%). CONCLUSIONS: Multivariable analysis revealed that sleep disturbance was correlated with physical and mental HRQOL, disability, and sedentary lifestyle but not other lifestyle and sociodemographic characteristics. It may be, however, that modifiable lifestyle factors may indirectly impact sleep by influencing health status.

Predictors of mental health in post-menopausal women: results from the Australian healthy aging of women study.

OBJECTIVE: To examine the extent to which socio-demographics, modifiable lifestyle, and physical health status influence the mental health of post-menopausal Australian women. METHODS: Cross-sectional data on health status, chronic disease and modifiable lifestyle factors were collected from a random cross-section of 340 women aged 60-70 years, residing in Queensland, Australia. Structural equation modeling (SEM) was used to measure the effect of a range of socio-demographic characteristics, modifiable lifestyle factors, and health markers (self-reported physical health, history of chronic illness) on the latent construct of mental health status. Mental health was evaluated using the Medical Outcomes Study Short Form 12 (SF-12(®)) and Center for Epidemiologic Studies Depression Scale (CES-D). RESULTS: The model was a good fit for the data (χ(2)=4.582, df=3, p=0.205) suggesting that mental health is negatively correlated with sleep disturbance (ß=-0.612, p<0.001), and a history of depression (ß=-0.141, p=0.024).While mental health was associated with poor sleep, it was not correlated with most lifestyle factors (BMI, alcohol consumption, or cigarette smoking) or socio-demographics like age, income or employment category and they were removed from the final model. CONCLUSION: Research suggests that it is important to engage in a range of health promoting behaviors to preserve good health. We found that predictors of current mental health status included sleep disturbance, and past mental health problems, while socio-demographics and modifiable lifestyle had little impact. It may be however, that these factors influenced other variables associated with the mental health of post-menopausal women, and these relationships warrant further investigation.