OBJECTIVE: The aim of this study was to determine if higher artificially sweetened beverage intake is associated with higher prevalence of urinary incontinence symptoms. METHODS: We conducted a secondary analysis of data from the Womens Health Initiative Observational Study. Our analytic cohort included 80,388 women. Participants who answered questions about beverage consumption and urinary incontinence symptoms at a 3-year follow-up visit were included. Demographic characteristics were compared between three groups of beverage consumers: never to less than one serving per week, one to six servings per week, and greater than or equal to one serving per day. Multivariable logistic regression models were constructed to estimate odds and type of urinary incontinence and adjust for potential confounders. RESULTS: Most participants (64%) were rare consumers of artificially sweetened beverages, with 13% ( n = 10,494) consuming greater than or equal to 1 serving per day. The unadjusted odds of reporting urinary incontinence were 10% to 12% higher in women consuming one to six servings per week (odds ratio [OR], 1.10; 95% CI, 1.06-1.14) or greater than or equal to one serving per day (OR, 1.12; 95% CI, 1.07-1.18) versus never to less than one serving per week. In multivariable analyses, women consuming greater than or equal to one serving per day (ref: never to <1 serving/wk) had 10% higher odds of reporting mixed urinary incontinence (OR, 1.10; 95% CI, 1.02-1.19). There were no significant differences for stress or urgency urinary incontinence symptoms between groups. CONCLUSIONS: When compared to never to less than one serving per week, women consuming greater than or equal to one serving per day of artificially sweetened beverages had 10% greater odds of reporting mixed urinary incontinence after adjustments. Amount of artificially sweetened beverage consumption was not associated with stress or urgency urinary incontinence symptoms.

Background

Insufficient data exist to conclude whether consumption of artificially sweetened beverages is associated with a higher risk of urinary tract cancers.

Objective

We sought to investigate whether urinary tract cancer incidence differed among women who consumed various amounts of artificially sweetened beverages.

Design setting and participants

This was a secondary analysis of data from the Women's Health Initiative Observational Study, a multicenter longitudinal prospective study of the health of 93 676 postmenopausal women with a mean follow-up time of 13.5 yr. Women were identified at 40 clinical centers across the USA and enrolled from 1993 to 1998. Women between the ages of 50 and 79 yr were enrolled. We included women who answered questions about artificially sweetened beverage consumption and reported no prior urinary tract cancer diagnoses. The frequency of artificially sweetened beverage consumption was categorized as follows: rare artificially sweetened beverage consumption (never to fewer than one serving per week), frequent consumption (one to six servings per week), and daily consumption (more than one servings per day).

Outcome measurements and statistical analysis

The incidence of urinary tract cancer reported during subsequent visits until February 28, 2020 was recorded. Demographic characteristics were compared between those with varying levels of artificially sweetened beverage consumption. Descriptive statistics were used to report the rates of urinary tract cancer diagnosis, and Cox regression models were constructed to determine hazard ratios and adjust for potential confounders.

Results and limitations

We identified 80 388 participants who met the inclusion criteria. Most participants (64%) were infrequent consumers of artificially sweetened beverages, with 13% (n = 10 494) consuming more than one servings per day. The incidence of urinary tract cancers was low, with only 804 cases identified. Cox regression models showed that frequent artificially sweetened beverage consumption was associated with a higher risk of kidney cancer (adjusted hazard ratio 1.34, 95% confidence interval 1.03-1.75). There was no significant association between artificially sweetened beverage intake and bladder cancer.

Conclusions

Frequent consumption of artificially sweetened beverages may be associated with a higher risk of kidney cancer among postmenopausal women.

Patient summary

A secondary analysis of the Women's Health Initiative Observational Study showed that higher consumption of artificially sweetened beverages was associated with a higher risk of kidney cancer.

Objectives

We hypothesized that intentional weight loss may be associated with development of lymphohematopoietic cancers, based on observations of immune suppression following weight loss in short-term studies.

Methods

At the baseline of the Women's Health Initiative Observational Study (1994-1998), participants reported information about intentional weight loss episodes in the past 20 years. We estimated hazard ratios (HRs) and 95% confidence intervals (CIs) among 81,219 women for associations between past intentional weight loss and risk of developing non-Hodgkin lymphoma (NHL), leukemia, and multiple myeloma during an average 9.9 years of follow-up.

Results

The risk of NHL was associated with having lost a large maximum amount of weight (> or =50 pounds, HR = 1.68, 95% CI 1.13-2.50). NHL risk also varied by the frequency of intentional weight loss; women had increased risk if they lost 50 pounds or more > or =3 times (HR = 1.97, 95% CI 0.93-4.16; p trend by frequency = 0.09) or 20-49 pounds > or =3 times (HR = 1.55, 95% CI 1.00-2.40; p trend = 0.05), but there was no risk associated with smaller amounts of weight loss (10-19 pounds > or =3 times, HR = 0.78, 95% CI 0.46-1.33). These associations persisted with adjustment for body mass index at different ages. We observed non-significant associations of similar magnitude for multiple myeloma, but past intentional weight loss episodes were not associated with leukemia.

Conclusion

Further assessment of intentional weight loss as a possible risk factor for lymphomas may provide insight into the etiology of these cancers.

Background

The respiratory quotient (RQ), defined as the ratio of carbon dioxide exhaled to oxygen uptake, reflects substrate utilization when energy is expended. Fat and alcohol have RQ values of approximately 0.7, compared with 1.0 for carbohydrate, and approximately 0.8 for protein. Here, the association between RQ and postmenopausal breast cancer risk is studied.

Methods

Paired RQ measurements were obtained, separated by approximately 6 months, for women in the reliability subset of a Women's Health Initiative (WHI) Nutrition and Physical Activity Assessment Study. Linear regression of the average of the paired log RQ assessments on a corresponding log food quotient (FQ) average and other study subject characteristics, including age, body mass index, race, and education, yielded calibration equations for predicting RQ.

Results

Calibration equations, using any of food frequency, food record, or dietary recall data, explained an appreciable fraction of measured log RQ variation, and these were used to compute calibrated RQ estimates throughout WHI cohorts. Calibrated RQ estimates using 4-day food record (4DFR) data related inversely (P = 0.004) to (invasive) breast cancer risk in the WHI Dietary Modification trial comparison group, and corresponding RQ estimates using food-frequency data related inversely (P = 0.002) to breast cancer incidence in this cohort combined with the larger WHI observational study.

Conclusion

Although preliminary, these analyses suggest a substantially higher postmenopausal breast cancer risk among women having relatively low RQ.

Impact

RQ elevation could provide a novel target for breast cancer risk reduction.

Background

Hispanics are a heterogeneous group of individuals with a variation in dietary habits that is reflective of their cultural heritage and country of origin. It is important to identify differences in their dietary habits because it has been well established that nutrition contributes substantially to the burden of preventable diseases and early deaths in the United States.

Objective

We estimated the distribution of usual intakes (of both food groups and nutrients) by Hispanic and Latino backgrounds by using National Cancer Institute methodology.

Design

The Hispanic Community Health Study/Study of Latinos is a population-based cohort study that recruited participants who were 18-74 y of age from 4 US cities in 2008-2011 (Miami, Bronx, Chicago, and San Diego). Participants who provided at least one 24-h dietary recall and completed a food propensity questionnaire (n = 13,285) were included in the analyses. Results were adjusted for age, sex, field center, weekend, sequencing, and typical amount of intake.

Results

Overall, Cubans (n = 2128) had higher intakes of total energy, macronutrients (including all subtypes of fat), and alcohol than those of other groups. Mexicans (n = 5371) had higher intakes of vitamin C, calcium, and fiber. Lowest intakes of total energy, macronutrients, folate, iron, and calcium were reported by Dominicans (n = 1217), whereas Puerto Ricans (n = 2176) had lowest intakes of vitamin C and fiber. Food-group servings reflected nutrient intakes, with Cubans having higher intakes of refined grains, vegetables, red meat, and fats and Dominicans having higher intakes of fruit and poultry, whereas Puerto Ricans had lowest intakes of fruit and vegetables. Central and South Americans (n = 1468 and 925, respectively) were characterized by being second in their reported intakes of fruit and poultry and the highest in fish intake in comparison with other groups.

Conclusion

Variations in diet noted in this study, with additional analysis, may help explain diet-related differences in health outcomes observed in Hispanics and Latinos.

Study objectives

Recent work on US Whites from clinical samples used obstructive sleep apnea (OSA) symptoms to generate phenotypes for individuals with moderate-severe OSA which suggested 3 to 5 symptom classes. However, it is unknown whether similar classes generalize to diverse Hispanics/Latino adults. Therefore, we sought to fill this gap by empirically deriving sleep phenotypes among a large sample of diverse Hispanics/Latinos.

Methods

We used data from The Hispanic Community Health Study/Study of Latinos (HCHS/SOL; 2008-2011), a prospective cohort study designed using a multisite multistage probability sample of adults 18-74 years old. The subpopulation of interest included participants with moderate-severe OSA symptoms (≥15 respiratory event index (REI) events per hour; n = 1,605). We performed latent class analysis for complex survey data using 15 common OSA symptoms (e.g. Epworth Sleepiness Scale) and 4 comorbidities to identify phenotype classes.

Results

Average age was 52.4 ± 13.9 years and 34.0% were female. Mean REI was 33.8 ± 22.5 events per hour. Fit statistics and clinical significance suggested that a three-class solution provided the best fit to the data. The three phenotypes were: (1) Minimally Symptomatic (47.7%), (2) Excessive sleepiness (37.1%), and (3) Disturbed Sleep (15.2%). Sensitivity models were consistent with the main proposed solution.

Conclusions

Derived sleep phenotypes among diverse Hispanic/Latinos were consistent with recent findings from the Sleep Apnea Global Interdisciplinary Consortium, but we found notable differences in class prevalence relative to Whites. Further research is needed to link derived sleep phenotypes to health comorbidities in diverse populations.

Background

Epidemiological evidence suggests that inadequate sleep duration and insomnia may be associated with increased risk of metabolic syndrome (MetS). However, longitudinal data with repeated measures of sleep duration and insomnia and of MetS are limited. We examined the association of sleep duration and insomnia with MetS and its components using longitudinal data from the Women's Health Initiative (WHI).

Methods

The study included postmenopausal women (ages 50-79 years) diabetes-free at enrollment in the WHI, with baseline data on sleep duration (n = 5,159), insomnia (n = 5,063), MetS, and its components. Repeated measures of self-reported sleep duration and insomnia were available from years 1 or 3 of follow-up and of the MetS components from years 3, 6 and 9. Associations were assessed using logistic regression and generalized estimating equations models, and odds ratios and 95% confidence intervals (CI) adjusted for major risk factors were calculated.

Results

In cross-sectional analysis, baseline sleep duration ≥ 9 h was positively associated with MetS (OR = 1.51; 95%CI 1.12-2.04), while sleep duration of 8- < 9 h was associated with waist circumference > 88 cm and triglycerides ≥ 150 mg/dL (OR = 1.18; 95%CI 1.01-1.40 and OR = 1.23; 95%CI 1.05-1.46, respectively). Insomnia had a borderline positive association with MetS (OR = 1.14; 95%CI 0.99-1.31), and significant positive associations with waist circumference > 88 cm and glucose ≥ 100 mg/dL (OR = 1.18; 95%CI 1.03-1.34 and OR = 1.17; 95%CI 1.02-1.35, respectively). In the longitudinal analysis, change from restful sleep to insomnia over time was associated with increased odds of developing MetS (OR = 1.40; 95%CI 1.01-1.94), and of a triglyceride level ≥ 150 mg/dL (OR = 1.48; 95%CI 1.08-2.03).

Conclusions

Among postmenopausal women in the WHI, sleep duration and insomnia were associated with current and future risk of MetS and some of its components.

Introduction

To determine if sleep-disordered breathing (SDB), daytime sleepiness, insomnia, and sleep duration predict seven-year neurocognitive decline in US Hispanics/Latinos (N = 5247).

Methods

The exposures were baseline SDB, daytime sleepiness, insomnia, and sleep duration. The outcomes were change in episodic learning and memory (B-SEVLT-Sum and SEVLT-Recall), language (word fluency [WF]), processing speed (Digit Symbol Substitution), and a cognitive impairment screener (Six-item Screener [SIS]).

Results

Mean age was 63 ± 8 years, with 55% of the population being female with 7.0% Central American, 24.5% Cuban, 9.3% Dominican, 35.9% Mexican, 14.4% Puerto Rican, and 5.1% South American background. Long sleep (>9 hours), but not short sleep (<6 hours), was associated with decline (standard deviation units) in episodic learning and memory (β_SEVLT-Sum⁼ -0.22 [se = 0.06]; P < .001; β_SEVLT-Recall = -0.13 [se = 0.06]; P < .05), WF (Pwf = -0.20 [se 5 0.06]; P < .01), and SIS (β_SIS = -0.16 [se = 0.06]; P < .01), but not processing speed, after adjusting for covariates. SDB, sleepiness, and insomnia were not associated with neurocognitive decline.

Conclusion

Long sleep duration predicted seven-year cognitive decline.

Obesity and obesity-related metabolic disorders, such as diabetes and chronic inflammation, have been positively associated both with postmenopausal breast cancer and with resting energy expenditure (REE). However, there is limited epidemiologic evidence on the associations between REE and risk of postmenopausal breast cancer. We used multivariable Cox proportional hazards models to examine the association between predicted REE (calculated using the Ikeda, Livingston, and Mifflin equations) and risk of postmenopausal breast cancer overall and by subtypes, and by level of body fat) among 137,283 postmenopausal women in the Women's Health Initiative (WHI). All predicted REEs were positively associated with risk of invasive breast cancer [HRq5 vs. q1 = 1.69; 95% confidence interval (CI), 1.57-1.81; HR = 1.69; 95% CI, 1.57-1.82; and HR = 1.68; 95% CI, 1.56-1.80 for Ikeda, Livingston, and Mifflin, respectively]. These positive associations were observed irrespective of the hormone receptor subtype, grade, and stage of the tumors, but were most pronounced for estrogen receptor-positive/progesterone receptor-positive tumors. After additional adjustment for body mass index (BMI), the associations were mostly attenuated and remained statistically significant for most of the outcomes. We also observed an interaction between the predicted REEs and BMI, with the associations being somewhat stronger among normal weight and overweight women than among obese women (Pinteractions < 0.05). Our findings indicate that relatively high REE is associated with increased risk of invasive breast cancer among postmenopausal women (particularly for the obesity-related tumor subtypes), irrespective of the equation used. Further studies using more objective measures of REE are, however, needed to confirm our findings.

Prevention relevance

This study showed that higher resting energy expenditure (REE) was associated with higher postmenopausal breast cancer risk. REE provides energy to support cancer-associated disorders such as obesity and inflammation. Thus, studies on its association with breast cancer can help to improve our understanding of the pathophysiology of breast cancer.

Total energy consumption and activity-related energy expenditure (AREE) estimates that have been calibrated using biomarkers to correct for measurement error were simultaneously associated with the risks of cardiovascular disease, cancer, and diabetes among postmenopausal women who were enrolled in the Women's Health Initiative at 40 US clinical centers and followed from 1994 to the present. Calibrated energy consumption was found to be positively related, and AREE inversely related, to the risks of various cardiovascular diseases, cancers, and diabetes. These associations were not evident in most corresponding analyses that did not correct for measurement error. However, an important analytical caveat relates to the role of body mass index (BMI) (weight (kg)/height (m)(2)). In the calibrated variable analyses, BMI was regarded, along with self-reported data, as a source of information on energy consumption and physical activity, and BMI was otherwise excluded from the disease risk models. This approach cannot be fully justified with available data, and the analyses herein imply a need for improved dietary and physical activity assessment methods and for longitudinal self-reported and biomarker data to test and relax modeling assumptions. Estimated hazard ratios for 20% increases in total energy consumption and AREE, respectively, were as follows: 1.49 (95% confidence interval: 1.18, 1.88) and 0.80 (95% confidence interval: 0.69, 0.92) for total cardiovascular disease; 1.43 (95% confidence interval: 1.17, 1.73) and 0.84 (95% confidence interval: 0.73, 0.96) for total invasive cancer; and 4.17 (95% confidence interval: 2.68, 6.49) and 0.60 (95% confidence interval: 0.44, 0.83) for diabetes.