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Sn(ii) and Ga(iii) complexes bearing bis(pyrazol-1-yl)acetato (bpza) or bis(3,5-dimethylpyrazol-1-yl)acetato (bdmpza) ligands are reported. The homoleptic complexes exhibit either mononuclear or dinuclear molecular structures.

Introduction Multiple sclerosis (MS), a neurodegenerative disease with typical onset in young to middle adulthood, results in disrupted sleep more commonly than the general population. There are known sex differences in MS onset and clinical course. MS, however, affects approximately three times more women than men, resulting in less attention to the male experience. Thus, there is a lack of information on disrupted sleep among men with MS. The purpose of this study was to examine the relationships between personal factors, behaviors, and sleep quality among men with MS. Methods Men with MS aged 20 to 90 years participated in an online anonymous survey recruited through the National MS Society website. Pearson’s correlations and linear regression were used to examine relationships between personal factors (age (years), type of MS, years since MS was diagnosed by a physician and race), sleep promoting behaviors (Sleep Behavior Self-Rating Scale), and sleep quality (Sleep Impact Short-Form total score). Results Four hundred ninety-six men with MS (mean age=53 years; SD=12.8; range 22-81 years) completed the survey. The majority were white (n=428; 86%) and married (n=358; 72%), with relapsing-remitting MS (n=323; 65%). Sleep quality ranged widely (mean=43.2; SD=3; range 27.9-59.9) with 90% reporting poor sleep. Pearson correlation results indicated a significant positive association between sleep quality and sleep promoting behaviors (r=.339) and negative associations with age (r=-234) and race (r=-.148). Multiple regression showed that sleep promoting behaviors and age statistically significantly predicted sleep quality (F(5,399) =15.51,p Conclusion These findings suggest that poor sleep quality was strongly associated with sleep promoting behaviors among in older men with MS. Improving sleep promoting behaviors may substantially improve sleep quality. Further qualitative research is required to address the lack of information on understanding factors that disturb sleep among men with MS. Support (if any) This study was supported by National Heart, Lung, and Blood Institute (NHLBI) UB Clinical Scholar Program in Implementation Science to Achieve Triple Aims -NIH K12 Faculty Scholar Program in Implementation Science (NHLBI) Award

Introduction Ten percent of adults aged ≥ 65 and 50% of adults ≥ 85 years exhibit cognitive impairment. In addition, 50% of older adults experience poor sleep quality. Veterans are more vulnerable to sleep disturbances and potential cognitive impairment as long-term consequences of on-duty responsibilities, co-morbidities, and conditions such as post-traumatic stress disorder. Previous studies demonstrated a relationship between sleep and cognitive impairment through impaired glymphatic function and neurodegeneration. Biomarkers such as neurofilament light (NfL) are elevated in neurodegeneration and dementia. Here, we sought to investigate NfL levels in cognitive-intact older Veterans exhibiting poor sleep quality. Methods A cross-sectional study with eighteen Veterans aged 65-86 without a clinical diagnosis of dementia. Self-reported sleep quality was assessed with the Pittsburgh Sleep Quality Index (PSQI), while time in bed (TIB), and total sleep time (TST) were retrieved from Fitbit Charge. Cognitive function was evaluated with the St. Louis University Mental Status Exam (VA-SLUMS). We used an automated multiplex immunoassay system to identify dementia biomarkers using an enzyme-linked lectin assay. T-tests, one-way or two-way ANOVAs with Tukey’s post-hoc (with or without repeated measures) were used for the analysis. Results Participants were classified as good sleepers (PSQI>5) and poor sleepers (PSQI< 5). Poor sleepers spent less TIB (Fitbit 5.3h vs. 7.7h, p =0.001) and slept fewer hours (Fitbit 4.7h vs. 7.2h, p =0.001) when compared to good sleepers. Additionally, poor sleepers exhibited mild cognitive impairment (VA SLUMS 26.9, p, =0.01). Lastly, poor sleepers exhibited higher serum NfL (mean 66.7, p=0.04). Conclusion Poor sleep quality was associated with short sleep duration, mild cognitive impairment, and higher serum levels of NfL in older Veterans without a dementia diagnosis. Results may contribute to the early identification of dementia and sleep-centered treatment guidance. Further studies with more extensive and diverse samples are warranted before clinical recommendations. Support (if any) Carleara Weiss, Ph.D., MS, RN. 1K99AG079117-01 (PI), National Institute on Aging.

We surveyed community-dwelling older adults in 2020, primarily in the Midwest, to learn about their experiences during the initial months of the COVID-19 pandemic. In summer 2021, we collected quantitative and qualitative one-year follow-up data on 118 participants from the original cohort who agreed to be contacted later (n=246; 48% response rate). Respondents included mostly women (75.2%), White (95%) with a mean age of 76.4 years and 15 mean years of education; half were married (49.5), and 40.7% lived alone. Compared to 2020, participants had a higher mean score on the CESD10 (9.76 vs. 6.97); although self-rated health and quality of life scores were similar (94-95% good-excellent). Mean scores on the Brief Resilient Scale were similar. In this group, 99.3% had been vaccinated, and had a concern score of 3.7 out of 5 that there would be more COVID outbreaks. Themes from their reported adaptations during the pandemic included taking steps for physical and mental self-care, maintaining connections with others, and finding credible sources of information. Connecting with others online was the biggest technological change during this time, and the computer was the most valued technology. These educated, middle class older adults continued to adapt to the COVID-19 pandemic, but those who did not respond to the second survey may have had more health or mental health challenges. These findings suggest a need for health care providers to screen older adults for depression so that early interventions can take place.

Objectives Dementia family caregivers report poor sleep and mood, typically attributed to chronic stress and managing frequent daily stressors. Although many studies use global retrospective reports of these indicators, the current study examines mechanisms linking sleep, negative affect, stress biomarkers, and high-/low-stress contexts at the daily level, from the biopsychosocial perspective of stressor exposure and reactivity. Method One hundred seventy-three caregivers (Mage = 61.97, SD = 10.66) were providing care at home and used adult day services (ADS) at least 2 days a week. Caregivers reported their bedtime, wake time, sleep quality, and nighttime problems of the person with dementia (PwD) daily for eight consecutive days, concurrently reporting noncare stressors, negative affect, and providing five salivary cortisol samples per day. We conducted multilevel analysis to examine whether caregiver sleep characteristics overnight (i.e., total time in bed, quality, and PwD sleep problems) were associated with their anxious and depressive symptoms on days where ADS were utilized versus non-ADS days (i.e., low stress vs. high stress), and whether cortisol daily total output as area under the curve (AUCg) mediated the direct associations, at the within- and between-person levels. Results On high-stress (i.e., non-ADS) days when caregivers had a longer time in bed than usual the night before, they were less anxious on the following day; the direct association was statistically mediated through lower cortisol AUCg during the day. Discussion Staying longer in bed than usual before an upcoming high-stress day may help dementia family caregivers better regulate cortisol stress reactivity and anxious symptoms.

Carbon-rich ruthenium allenylidene complexes bearing either a hexaarylbenzene (HAB) or a hexa-peri-hexabenzocoronene (HBC) substituent were synthesised. This was achieved via the corresponding propargyl alcohols with HAB and HBC substituents, which were accessible via 3 or 4 step reaction cascades. Reaction of the propargyl alcohols HCC(OH)Ph(HAB) and HCC(OH)Ph(HBC) with [RuCl(η5-C5H5)(PPh3)2] yielded the complexes [Ru(η5-C5H5)(CCC(HAB)(Ph))(PPh3)2]PF6 and [Ru(η5-C5H5)(CCC(HBC)(Ph))(PPh3)2]PF6. The latter of which shows interesting π–π-stacking behaviour in the solid state as well as aggregation in solution.

Poor sleep health, including short or long duration and/or irregular timing may lead to a variety of chronic health conditions including diabetes and heart disease. An estimated 50-70 million adults in the United States have poor sleep health and this burden is disproportionately felt among systematically disadvantaged groups. While social and behavioral determinants of sleep duration and quality have been examined, sleep health, a multidimensional concept, has been less explored. The study aims to examine the impact of social determinants on sleep health among middle-aged and older adults. Data from the 2014 wave of the Health and Retirement Study were weighted and restricted to respondents of “Leave-Behind” questionnaire (n=5334). Sleep Health score was derived from sleep variables (range 0-100). Structural equation modeling was conducted using the R package lavaan. Sample mean age was 68.2 years (SD=10.1). Majority were female (60%) and white (76%) with mean Sleep Health score of 50 (SD=5.2). Black (p< 0.0001) and Latinx respondents (p< 0.0001) had worse sleep health than white respondents. Depression, financial strain, and neighborhood characteristics of socioeconomic status, social cohesion, and physical disorder mediated the relationship between race and sleep health. Ongoing chronic stress and everyday discrimination also mediated the relationship between race and Sleep Health among Black vs. white respondents. These findings suggest multiple individual and neighborhood-level determinants may negatively influence sleep health among a nationally representative sample of middle-aged and older Black and Latinx adults. Neighborhood-level characteristics may be modifiable factors that can be targeted to improve sleep and related health outcomes.

Opioid use among reproductive-age women has greatly increased, resulting in high rates of opioid-exposed pregnancies, which are associated with negative outcomes, such as neonatal abstinence syndrome. Prevention of unintended pregnancy among opioid users is a critical pathway to reducing opioid-exposed pregnancies; however, little is known about pregnancy intention in this group. This article estimates the prevalence of unintended pregnancy among opioid-using women, thereby supporting efforts to develop interventions to reduce unintended pregnancy.A systematic literature search was conducted in PubMed, Web of Science, PsycINFO, and CINAHL, in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-analyses framework. Reference lists of articles were searched. Eligibility criteria included reported unintended pregnancy rates within a population of opioid-using women of reproductive age. The search was completed in July 2018 and updated in October 2019.We identified 115 citations, screened 64 titles/abstracts, reviewed 31 full-text articles, and included 12 articles for this review. Rates of unintended pregnancy in opioid users were estimated in two ways, across the lifetime and for a current pregnancy, depending on study samples. Rates for both groups were high, with rates among currently pregnant opioid-using women (85%) compared with 45% among the general population.Unintended pregnancy rates in opioid-using women were strikingly high, indicating a critical need for intervention. Routine inclusion of pregnancy planning in opioid treatment care is indicated. Education regarding contraception and opioid treatment services is essential for nurses in these settings. Family planning and opioid treatment efforts can be optimized by care coordination, with focus on nurse training for screening and patient education.

Carbon-rich ruthenium allenylidene complexes bearing either a hexaarylbenzene (HAB) or a hexa-peri-hexabenzocoronene (HBC) substituent were synthesised. This was achieved via the corresponding propargyl alcohols with HAB and HBC substituents, which were accessible via 3 or 4 step reaction cascades. Reaction of the propargyl alcohols HC[triple bond, length as m-dash]C(OH)Ph(HAB) and HC[triple bond, length as m-dash]C(OH)Ph(HBC) with [RuCl(η5-C5H5)(PPh3)2] yielded the complexes [Ru(η5-C5H5)([double bond, length as m-dash]C[double bond, length as m-dash]C[double bond, length as m-dash]C(HAB)(Ph))(PPh3)2]PF6 and [Ru(η5-C5H5)([double bond, length as m-dash]C[double bond, length as m-dash]C[double bond, length as m-dash]C(HBC)(Ph))(PPh3)2]PF6. The latter of which shows interesting π-π-stacking behaviour in the solid state as well as aggregation in solution.

Health professionals have been concerned about mental health of older adults during the COVID pandemic. To explore their experiences, we conducted an online survey of community-dwelling older people to examine their mental health related to stress, based on Pearlin’s Stress Process Model. A snowball approach was used; we sent recruitment e-mails through senior organizations and contacts with e-mail lists of potential participants; there were 504 respondents. We used regression analysis to explore predictors of mental health based on Pearlin’s model. Background characteristics included age (m = 75.7, SD 4.95), gender (77.4% female) and race (White = 93.4%). The CESD-10 provided a measure of mental health. Scores indicated 62.3% of the sample scored in the low range for depressive symptoms and 37.7% in the moderate to high range. Stressors were measured using the Perceived Stress Scale that includes subscales of perceived helplessness and perceived self-efficacy. We also measured perceived social Isolation, and current life space as predictor variables. Results of regressing the CESD-10 onto the set of theoretical predictors revealed that the inclusion both subscales of the Perceived Stress Scale, social isolation, and current life space jointly accounted for approximately 63.0% of the variability in the outcome beyond the baseline model (FChange[4, 449] = 211.15, p < .01), which included age, race, and gender. The model overall, accounted for approximately 66.5% (R2adjusted = 66.0%) of the variability in CESD-10 scores, (F[7, 449] = 127.473, p < .01). Addressing stress among older adults is important to help them maintain positive mental health.

Effective public health nursing relies on the development of responsive and collaborative relationships with families. While nurse-family relationships are endorsed by home visitation programs, training nurses to follow visit-to-visit protocols may unintentionally undermine these relationships and may also obscure nurses' clinical understanding and situated knowledge. With these issues in mind, we designed a home-visiting intervention, titled Listening with Care, to cultivate nurses' relationships with teen mothers and nurses' clinical judgment and reasoning. Rather than using protocols, the training for the intervention introduced nurses to narrative methods and therapeutic tools. This mixed-method pilot study included a quasi-experimental design to examine the effect of the intervention on teen mothers' depressive symptoms, self-silencing, repeat pregnancy, and educational progress compared to teens who received usual care. Qualitative data were collected from the nurses to evaluate the feasibility and acceptability of the intervention and therapeutic tools. The nurses endorsed the therapeutic tools and expected to continue using them in their practice. Despite the lack of statistically significant differences in outcomes between groups, findings suggest that further study of the intervention is warranted. Future studies may have implications for strengthening hidden aspects of nursing that make a difference in the lives of teen mothers.

Approximately one quarter of adults with dementia experience sleep disturbances. The purpose of this article is to (a) describe and define sleep disturbances in individuals with dementia, (b) describe techniques to assess for sleep disturbances in individuals with dementia, and (c) provide nursing interventions to improve sleep in this patient population. Typical presentations of sleep disturbances in individuals with dementia are described, along with medications that may interfere with sleep. Suggestions for nursing measures that can be implemented to enhance sleep are also presented. Nurses have numerous nonpharmacological options to assist with the regulation of sleep-wake rhythms in individuals with dementia.