183 research outputs found

    Hot flashes in breast cancer survivors and an association with calcium supplement use

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    Gretchen Kimmick1,2, Gloria Broadwater2, Mara Vitolins31Medical Oncology, Wake Forest University School of Medicine, Winston-Salem; 2Cancer Center Biostatistics, Duke University Medical Center, Durham; 3Department of Epidemiology and Prevention, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USAAims: In breast cancer survivors, we aimed to describe the frequency of hot flashes and night sweats, frequency and type of treatment, and the association of hot flashes and use of calcium supplements.Methods: Charts of breast cancer survivors were reviewed for information about hot flashes, treatment for hot flashes, and calcium supplementation. Associations between variables were explored using the Chi-square test and Fisher’s Exact test.Results: Eighty-six charts were reviewed. Mean age of the women was 58 years and 79% were postmenopausal. Forty-two (49%) of women had hot flashes and 18 (21%) had night sweats. Thirty-one (36%) were treated for hot flashes. Treatment included selective serotonin reuptake inhibitors/serotonin-norepinephrine reuptake inhibitors (n = 19), clonidine (n = 7), Bellergal-S® (n = 8), sleep-aid (n = 7), and other (n = 5). Calcium supplementation was recorded in 31%. Of women with hot flashes, 44% took calcium supplements; of women without hot flashes, 18% took calcium supplements (Chi-square P = 0.02).Conclusion: Hot flashes were recorded in 49% of this group of primarily postmenopausal breast cancer survivors. Women with hot flashes were more likely to be taking calcium ­supplements. Further exploration of the association between hot flashes and calcium supplementation is warranted.Keywords: hot flashes, breast cancer, calcium supplementatio

    Electrocardiographic repolarization-related variables as predictors of coronary heart disease death in the women's health initiative study.

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    BackgroundWe evaluated 25 repolarization-related ECG variables for the risk of coronary heart disease (CHD) death in 52 994 postmenopausal women from the Women's Health Initiative study.Methods and resultsHazard ratios from Cox regression were computed for subgroups of women with and without cardiovascular disease (CVD). During the average follow-up of 16.9 years, 941 CHD deaths occurred. Based on electrophysiological considerations, 2 sets of ECG variables with low correlations were considered as candidates for independent predictors of CHD death: Set 1, Ѳ(Tp|Tref), the spatial angle between T peak (Tp) and normal T reference (Tref) vectors; Ѳ(Tinit|Tterm), the angle between the initial and terminal T vectors; STJ depression in V6 and rate-adjusted QTp interval (QTpa); and Set 2, TaVR and TV1 amplitudes, heart rate, and QRS duration. Strong independent predictors with over 2-fold increased risk for CHD death in women with and without CVD were Ѳ(Tp|Tref) >42° from Set 1 and TaVR amplitude >-100 μV from Set 2. The risk for these CHD death predictors remained significant after multivariable adjustment for demographic/clinical factors. Other significant predictors for CHD death in fully adjusted risk models were Ѳ(Tinit|Tterm) >30°, TV1 >175 μV, and QRS duration >100 ms.ConclusionsѲ(Tp|Tref) angle and TaVR amplitude are associated with CHD mortality in postmenopausal women. The use of these measures to identify high-risk women for further diagnostic evaluation or more intense preventive intervention warrants further study.Clinical trial registration urlhttp://www.clinicaltrials.gov. Unique identifier: NCT00000611

    Race and Ethnicity, Obesity, Metabolic Health, and Risk of Cardiovascular Disease in Postmenopausal Women

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    Background It is unclear whether obesity unaccompanied by metabolic abnormalities is associated with increased cardiovascular disease risk across racial and ethnic subgroups. Methods and Results We identified 14 364 postmenopausal women from the Women\u27s Health Initiative who had data on fasting serum lipids and serum glucose and no history of cardiovascular disease or diabetes at baseline. We categorized women by body mass index (in kg/m2) as normal weight (body mass index 18.5 to P=0.05). Obese black women without metabolic syndrome had higher adjusted risk (HR 1.95) than obese white women (HR 1.07; interaction P=0.02). Among women with only 2 metabolic abnormalities, cardiovascular risk was increased in black women who were overweight (HR 1.77) or obese (HR 2.17) but not in white women who were overweight (HR 0.98) or obese (HR 1.06). Overweight and obese women with ≤1 metabolic abnormality did not have increased cardiovascular risk, regardless of race or ethnicity. Conclusions Metabolic abnormalities appeared to convey more cardiovascular risk among black women

    Adapting the Diabetes Prevention Program for low and middle-income countries: protocol for a cluster randomised trial to evaluate ‘Lifestyle Africa’

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    This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.Introduction Low and middle-income countries like South Africa are experiencing major increases in burden of non-communicable diseases such as diabetes and cardiovascular conditions. However, evidence-based interventions to address behavioural factors related to these diseases are lacking. Our study aims to adapt the CDC’s National Diabetes Prevention Program (DPP) within the context of an under-resourced urban community in Cape Town, South Africa. Methods/analysis The new intervention (Lifestyle Africa) consists of 17 weekly sessions delivered by trained community health workers (CHWs). In addition to educational and cultural adaptations of DPP content, the programme adds novel components of text messaging and CHW training in Motivational Interviewing. We will recruit overweight and obese participants (body mass index ≥25 kg/m2) who are members of 28 existing community health clubs served by CHWs. In a 2-year cluster randomised control trial, clubs will be randomly allocated to receive the intervention or usual care. After year 1, usual care participants will also receive the intervention and both groups will be followed for another year. The primary outcome analysis will compare percentage of baseline weight loss at year 1. Secondary outcomes will include diabetes and cardiovascular risk indicators (blood pressure, haemoglobin A1C, lipids), changes in self-reported medication use, diet (fat and fruit and vegetable intake), physical activity and health-related quality of life. We will also assess potential psychosocial mediators/moderators as well as cost-effectiveness of the programme. Ethics/dissemination Ethical approval was obtained from the University of Cape Town and Children’s Mercy. Results will be submitted for publication in peer-reviewed journals and training curricula will be disseminated to local stakeholders. Trial registration number NCT03342274

    Evaluation of diet pattern and weight gain in postmenopausal women enrolled in the Women’s Health Initiative Observational Study

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    Abstract It is unclear which of four popular contemporary diet patterns is best for weight maintenance among postmenopausal women. Four dietary patterns were characterised among postmenopausal women aged 49–81 years (mean 63·6 ( sd 7·4) years) from the Women’s Health Initiative Observational Study: (1) a low-fat diet; (2) a reduced-carbohydrate diet; (3) a Mediterranean-style (Med) diet; and (4) a diet consistent with the US Department of Agriculture’s Dietary Guidelines for Americans (DGA). Discrete-time hazards models were used to compare the risk of weight gain (≥10 %) among high adherers of each diet pattern. In adjusted models, the reduced-carbohydrate diet was inversely related to weight gain (OR 0·71; 95 % CI 0·66, 0·76), whereas the low-fat (OR 1·43; 95 % CI 1·33, 1·54) and DGA (OR 1·24; 95 % CI 1·15, 1·33) diets were associated with increased risk of weight gain. By baseline weight status, the reduced-carbohydrate diet was inversely related to weight gain among women who were normal weight (OR 0·72; 95 % CI 0·63, 0·81), overweight (OR 0·67; 95 % CI 0·59, 0·76) or obese class I (OR 0·63; 95 % CI 0·53, 0·76) at baseline. The low-fat diet was associated with increased risk of weight gain in women who were normal weight (OR 1·28; 95 % CI 1·13, 1·46), overweight (OR 1·60; 95 % CI 1·40, 1·83), obese class I (OR 1·73; 95 % CI 1·43, 2·09) or obese class II (OR 1·44; 95 % CI 1·08, 1·92) at baseline. These findings suggest that a low-fat diet may promote weight gain, whereas a reduced-carbohydrate diet may decrease risk of postmenopausal weight gain

    Cost-effectiveness of Lifestyle Africa: an adaptation of the diabetes prevention programme for delivery by community health workers in urban South Africa

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    Background Lifestyle Africa is an adapted version of the Diabetes Prevention Program designed for delivery by community health workers to socioeconomically disadvantaged populations in low- and middle-income countries (LMICs). Results from the Lifestyle Africa trial conducted in an under-resourced community in South Africa indicated that the programme had a significant effect on reducing haemoglobin A1c (HbA1c). Objective To estimate the cost of implementation and the cost-effectiveness (in cost per point reduction in HbA1c) of the Lifestyle Africa programme to inform decision-makers of the resources required and the value of this intervention. Methods Interviews were held with project administrators to identify the activities and resources required to implement the intervention. A direct-measure micro-costing approach was used to determine the number of units and unit cost for each resource. The incremental cost per one point improvement in HbA1c was calculated. Results The intervention equated to 71 United States dollars (USD) in implementation costs per participant and a 0.26 improvement in HbA1c per participant. Conclusions Lifestyle Africa reduced HbA1c for relatively little cost and holds promise for addressing chronic disease in LMIC. Decision-makers should consider the comparative clinical effectiveness and cost-effectiveness of this intervention when making resource allocation decisions
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