7
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: not found
      • Article: not found

      Sleep Characteristics and Carotid Atherosclerosis Among Midlife Women

      Read this article at

      ScienceOpenPublisherPMC
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          <div class="section"> <a class="named-anchor" id="d4350470e297"> <!-- named anchor --> </a> <h5 class="section-title" id="d4350470e298">Introduction:</h5> <p id="d4350470e300">Midlife, which encompasses the menopause transition in women, can be a time of disrupted sleep and accelerated atherosclerosis accumulation. Short or poor sleep quality has been associated with cardiovascular disease (CVD) risk; few studies have investigated relations among midlife women. We tested whether shorter actigraphy sleep time or poorer subjective sleep quality was associated with carotid atherosclerosis among midlife women. </p> </div><div class="section"> <a class="named-anchor" id="d4350470e302"> <!-- named anchor --> </a> <h5 class="section-title" id="d4350470e303">Aims and Methods:</h5> <p id="d4350470e305">Two hundred fifty-six peri- and postmenopausal women aged 40–60 years completed 3 days of wrist actigraphy, hot flash monitoring, questionnaires (Pittsburgh Sleep Quality Index [PSQI], Berlin), a blood draw, and carotid ultrasound [intima media thickness (IMT), plaque]. Associations of objective (actigraphy) and subjective (PSQI) sleep with IMT/plaque were tested in regression models (covariates: age, race, education, body mass index, blood pressure, lipids, insulin resistance, medications, snoring, depressive symptoms, sleep hot flashes, and estradiol). </p> </div><div class="section"> <a class="named-anchor" id="d4350470e307"> <!-- named anchor --> </a> <h5 class="section-title" id="d4350470e308">Results</h5> <p id="d4350470e310">Shorter objective sleep time was associated with higher odds of carotid plaque (for each hour shorter sleep, plaque score ≥ 2, odds ratio (OR) [95% confidence interval, CI] = 1.58 [1.11–2.27], <i>p</i> = .01; plaque score = 1, OR [95% CI] = 0.95 [0.68–1.32], <i>p</i> = .75, vs. no plaque, multivariable). Poorer subjective sleep quality was associated with higher mean IMT [β, <i>b</i> (standard error, <i>SE</i>) = 0.004 (0.002), <i>p</i> = .03], maximal IMT [ <i>b</i> ( <i>SE</i>) = 0.009 (0.003), <i>p</i> = .005], and plaque [plaque score ≥ 2, OR (95% CI) = 1.23 (1.09–1.40), <i>p</i> = .001; score = 1, OR (95% CI) = 1.06 (0.93–1.21), <i>p</i> = .37, vs. no plaque] in multivariable models. Findings persisted additionally adjusting for sleep hot flashes and estradiol. </p> </div><div class="section"> <a class="named-anchor" id="d4350470e343"> <!-- named anchor --> </a> <h5 class="section-title" id="d4350470e344">Conclusions:</h5> <p id="d4350470e346">Shorter actigraphy-assessed sleep time and poorer subjective sleep quality were associated with increased carotid atherosclerosis among midlife women. Associations persisted adjusting for CVD risk factors, hot flashes, and estradiol. </p> </div>

          Related collections

          Most cited references29

          • Record: found
          • Abstract: found
          • Article: not found

          Sleep duration predicts cardiovascular outcomes: a systematic review and meta-analysis of prospective studies.

          Aims To assess the relationship between duration of sleep and morbidity and mortality from coronary heart disease (CHD), stroke, and total cardiovascular disease (CVD). Methods and results We performed a systematic search of publications using MEDLINE (1966-2009), EMBASE (from 1980), the Cochrane Library, and manual searches without language restrictions. Studies were included if they were prospective, follow-up >3 years, had duration of sleep at baseline, and incident cases of CHD, stroke, or CVD. Relative risks (RR) and 95% confidence interval (CI) were pooled using a random-effect model. Overall, 15 studies (24 cohort samples) included 474 684 male and female participants (follow-up 6.9-25 years), and 16 067 events (4169 for CHD, 3478 for stroke, and 8420 for total CVD). Sleep duration was assessed by questionnaire and incident cases through certification and event registers. Short duration of sleep was associated with a greater risk of developing or dying of CHD (RR 1.48, 95% CI 1.22-1.80, P < 0.0001), stroke (1.15, 1.00-1.31, P = 0.047), but not total CVD (1.03, 0.93-1.15, P = 0.52) with no evidence of publication bias (P = 0.95, P = 0.30, and P = 0.46, respectively). Long duration of sleep was also associated with a greater risk of CHD (1.38, 1.15-1.66, P = 0.0005), stroke (1.65, 1.45-1.87, P < 0.0001), and total CVD (1.41, 1.19-1.68, P < 0.0001) with no evidence of publication bias (P = 0.92, P = 0.96, and P = 0.79, respectively). Conclusion Both short and long duration of sleep are predictors, or markers, of cardiovascular outcomes.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Are changes in cardiovascular disease risk factors in midlife women due to chronological aging or to the menopausal transition?

            This prospective study examined whether changes in traditional and novel coronary heart disease (CHD) risk factors are greater within a year of the final menstrual period (FMP), relative to changes that occur before or after that interval, in a multiethnic cohort. Understanding the influence of menopause on CHD risk remains elusive and has been evaluated primarily in Caucasian samples. SWAN (Study of Women's Health Across the Nation) is a prospective study of the menopausal transition in 3,302 minority (African American, Hispanic, Japanese, or Chinese) and Caucasian women. After 10 annual examinations, 1,054 women had achieved an FMP not due to surgery and without hormone therapy use before FMP. Measured CHD risk factors included lipids and lipoproteins, glucose, insulin, blood pressure, fibrinogen, and C-reactive protein. We assessed which of 2 models provided a better fit with the observed risk factor changes over time in relation to the FMP: a linear model, consistent with chronological aging, or a piecewise linear model, consistent with ovarian aging. Only total cholesterol, low-density lipoprotein cholesterol, and apolipoprotein B demonstrated substantial increases within the 1-year interval before and after the FMP, consistent with menopause-induced changes. This pattern was similar across ethnic groups. The other risk factors were consistent with a linear model, indicative of chronological aging. Women experience a unique increase in lipids at the time of the FMP. Monitoring lipids in perimenopausal women should enhance primary prevention of CHD.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Heart rate variability, sleep and sleep disorders.

              Heart rate (HR) is modulated by the combined effects of the sympathetic and parasympathetic nervous systems. Therefore, measurement of changes in HR over time (heart rate variability or HRV) provides information about autonomic functioning. HRV has been used to identify high risk people, understand the autonomic components of different disorders and to evaluate the effect of different interventions, etc. Since the signal required to measure HRV is already being collected on the electrocardiogram (ECG) channel of the polysomnogram (PSG), collecting data for research on HRV and sleep is straightforward, but applications have been limited. As reviewed here, HRV has been applied to understand autonomic changes during different sleep stages. It has also been applied to understand the effect of sleep-disordered breathing, periodic limb movements and insomnia both during sleep and during the daytime. HRV has been successfully used to screen people for possible referral to a Sleep Lab. It has also been used to monitor the effects of continuous positive airway pressure (CPAP). A novel HRV measure, cardiopulmonary coupling (CPC) has been proposed for sleep quality. Evidence also suggests that HRV collected during a PSG can be used in risk stratification models, at least for older adults. Caveats for accurate interpretation of HRV are also presented. Copyright © 2011 Elsevier Ltd. All rights reserved.
                Bookmark

                Author and article information

                Journal
                Sleep
                Oxford University Press (OUP)
                0161-8105
                1550-9109
                February 01 2017
                February 01 2017
                : 40
                : 2
                Article
                10.1093/sleep/zsw052
                6084762
                28364498
                409bf09b-bf1b-4a48-9098-95a65e35002f
                © 2017
                History

                Comments

                Comment on this article