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Poor sleep is associated with higher levels of inflammatory biomarkers. Conventionally, higher average time awake, lower average time asleep, and lower sleep efficiency define poor sleep. Recent research suggests that, in addition to average sleep, sleep inconsistency is an important indicator of sleep dysfunction. The current study sought to extend our knowledge of the relationship between sleep and inflammation through an examination of sleep inconsistency and inflammatory biomarkers. Methods: Secondary analyses of the Survey of Midlife in the United States (MIDUS) sleep study were conducted. Five hundred thirty-three individuals completed nightly sleep diaries, actigraphy, and underwent a blood draw for the inflammatory biomarkers C-reactive protein, interleukin-6, and fibrinogen. Sleep inconsistency was derived from 7 consecutive nights of assessment and was operationalized as nightly fluctuations in the following variables: terminal wakefulness, number of awakenings, time in bed, sleep onset latency, and wake after sleep onset. Structural equation modeling was used to examine the influence of a latent average sleep and a latent sleep inconsistency variable on a latent inflammation variable. Models were subsequently adjusted for age, sex, BMI, health, and medication. Stratified models by sex were also analyzed. Results: The average sleep model would not converge. The sleep inconsistency model fit the data well. A significant positive association between the latent factors sleep inconsistency and inflammation was observed (β = 10.18, SE = 4.40, p = 0.021), suggesting inconsistent sleep is associated with higher levels of inflammatory biomarkers. When stratified by sex, the association between the latent sleep inconsistency factor and inflammation was significant for women (β = 1.93, SE = 0.82, p = 0.018), but not men (β = 0.20, SE = 0.35, p = 0.566). The association between sleep inconsistency and inflammation weakened following multivariate adjustment (β = 6.23, SE = 3.71, p = 0.093). Conclusions: Inconsistent sleep may be an associated feature of inflammatory dysfunction, especially in women. Future studies should build upon this preliminary work and examine these associations longitudinally and through treatment trials.

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Reflex immunohistochemistry (rIHC) for mismatch repair (MMR) protein expression can be used as a screening tool to detect Lynch Syndrome (LS). Increasingly the mismatch repair‐deficient (dMMR) phenotype has therapeutic implications. We investigated the pattern and consequence of testing for dMMR in three Irish Cancer Centres (CCs). CRC databases were analyzed from January 2005–December 2013. CC1 performs IHC upon physician request, CC2 implemented rIHC in November 2008, and CC3 has been performing rIHC since 2004. The number of eligible patients referred to clinical genetic services (CGS), and the number of LS patients per center was determined. 3906 patients were included over a 9‐year period. dMMR CRCs were found in 32/153 (21%) of patients at CC1 and 55/536 (10%) at CC2, accounting for 3% and 5% of the CRC population, respectively. At CC3, 182/1737 patients (10%) had dMMR CRCs (P < 0.001). Additional testing for the BRAF V600E mutation, was performed in 49 patients at CC3 prior to CGS referral, of which 29 were positive and considered sporadic CRC. Referrals to CGS were made in 66%, 33%, and 30% of eligible patients at CC1, CC2, and CC3, respectively. LS accounted for CRC in eight patients (0.8%) at CC1, eight patients (0.7%) at CC2, and 20 patients (1.2%) at CC3. Cascade testing of patients with dMMR CRC was not completed in 56%. Universal screening increases the detection of dMMR tumors and LS kindreds. Successful implementation of this approach requires adequate resources for appropriate downstream management of these patients.

Despite the growth of behavioral health services in the United States, reports show persistent disparities in racial and ethnic minority populations' access to them. Primary care practices are often where patients go first for their medical and mental healthcare, placing the burden for treatment of behavioral health problems on primary care physicians. Integrated behavioral healthcare (IBHC), which embeds behavioral health clinicians in medical settings, is growing rapidly and should become an important component of the healthcare system. This paper proposes IBHC as a solution to reduce disparities in access to behavioral health services for underserved populations, specifically Latinx and African American populations, as well as racial and ethnic minority youth. The authors surveyed the literature to describe the history and current use of IBHC and present the case for addressing the behavioral health needs of underserved populations with IBHC. Research suggests that patients treated in IBHC settings experience an improvement in their symptoms and functioning across behavioral health problems. Furthermore, IBHC patients in primary care clinics report satisfaction with care and strong therapeutic alliance with behavioral health clinicians. Preliminary research suggests that IBHC may also reduce stigma and cultural barriers in underserved racial and ethnic minority populations. IBHC provides a unique opportunity to fulfill a critical need by meeting patients where they are. Therefore, we need to focus on improving and expanding IBHC for underserved racial and ethnic minority communities. What is the significance of this article for the general public?This paper outlines current barriers to accessing behavioral healthcare for Latinx, African American, and racial and ethnic minority youth and how IBHC combats those barriers. Additionally, it highlights outcomes of brief behavioral interventions and patient and physician satisfaction with IBHC. IBHC is a viable option for providing behavioral healthcare to underserved patient populations.