Exploratory factor and confirmatory analyses of the polycystic ovary syndrome health-related quality of life questionnaire (PCOSQ-50).

BACKGROUND: A condition-specific instrument is necessary to measure the health-related quality of life among those with polycystic ovary syndrome (PCOS), the most common chronic endocrinopathy among women. The first instrument was developed in 1988, followed by several revisions. However, further recommendations from all versions include additional application and measurement among different cultural populations of women with PCOS and psychometric testing based on use among larger samples of women with PCOS. Thus, the purpose of this study was to explore the factor structure of the Polycystic Ovary Syndrome Questionnaire (PCOSQ-50) using an international cross-sectional survey data from women with PCOS aged 18-42 years. METHODS: Using data from the largest known international cross-sectional study of women with PCOS aged 18-42 years (n = 935) to date, exploratory factor and confirmatory analyses were conducted for the PCOSQ-50, followed by factor labeling using a thematic analysis approach. RESULTS: Respondents were 31.0 ± 5.8 years of age, mostly White (72%), well-educated (56% had a college degree), married (69%), and employed full-time (65%). Three-quarters (74%) of the sample had one or more chronic conditions in addition to PCOS. Approximately 20% of the respondents originated from countries such as the United Kingdom, Australia, South Africa, etc. The PCOSQ-50 demonstrated good reliability but may be best described using a 7-factor model. The 7-factor model revealed goodness-of-fit. Thematic analysis suggested the following labels of those seven factors: hirsutism, fertility, isolation/trepidation, sexual function, self-esteem, emotional, and obesity. CONCLUSION: More research is needed to adapt the current PCOSQ-50, as well as to create an age-appropriate PCOS-specific HRQoL instrument for peri-postmenopausal women with PCOS.

PCOS health-related quality-of-life and depressive symptoms across the lifespan: Comparative study.

The purpose of this cross-sectional study was to compare health-related quality of life (HRQoL) and depressive symptoms among peri-postmenopausal women with polycystic ovary syndrome (PCOS) aged ≥43 years relative to premenopausal women with PCOS aged 18-42 years. An online survey link comprising questionnaires about demographics, HRQoL, and depressive symptoms was posted onto two PCOS-specific Facebook groups. Respondents (n = 1,042) were separated into two age cohorts: women with PCOS aged 18-42 years (n = 935) and women with PCOS aged ≥43 years (n = 107). Data from the online survey were analyzed using descriptive statistics, Pearson correlations, and multiple regression via SAS. Results were interpreted through the lens of life course theory. All demographic variables, except for the number of comorbidities, significantly differed between groups. HRQoL among older women with PCOS was significantly better as compared to those aged 18-42 years. Results indicated significant positive linear associations between the HRQoL psychosocial/emotional subscale and other HRQoL subscales and a significant negative association with age. The fertility and sexual function HRQoL subscales were not significantly associated with the psychosocial/emotional subscale among women aged ≥43 years. Women in both groups had moderate depressive symptoms. Study findings demonstrate the need to tailor PCOS management to women's life stage. This knowledge can inform future research about peri-postmenopausal women with PCOS and age-appropriate and patient-centered healthcare, including requisite clinical screenings (e.g., depressive symptoms) and lifestyle counseling across the lifespan.

Leveraging digital technology for social connectedness among adults with chronic conditions: A systematic review.

Purpose: To review the evidence about the impact of digital technology on social connectedness among adults with one or more chronic health conditions. Methods: PubMed, Embase, Social Sciences, CINAHL, and Compendex were systematically searched for full-text, peer-reviewed empirical evidence published between 2012 and 2023 and reported using the PRISMA flow diagram. Articles were critically appraised applying the Joanna Briggs Institute checklists. Specific data were extracted based on the framework for social identity and technology approaches for health outcomes and then analyzed and synthesized. Results: Thirty-four studies met study criteria. Evidence showed heterogeneity among research methodology, chronic health conditions, digital technology, and health outcomes. Technology use was influenced by factors such as usability, anonymity, availability, and control. More advanced digital technologies require higher digital literacy and improved accessibility features/modifications. Social support was the most measured aspect of social connectedness. The emotional and informational forms of social support were most reported; instrumental support was the least likely to be delivered. Self-efficacy for using technology was considered in seven articles. Sixteen articles reported health outcomes: 31.2% (n = 5) described mental health outcomes only, 18.8% (n = 3) reported physical health outcomes only, 31.2% (n = 5) detailed both physical and mental health outcomes, whereas 18.8% (n = 3) denoted well-being or quality-of-life outcomes. Most often, health outcomes were positive, with negative outcomes for selected groups also noted. Conclusion: Leveraging digital technology to promote social connectedness has the potential to affect positive health outcomes. Further research is needed to better understand the social integration of technology among populations with different contexts and chronic health conditions to enhance and tailor digital interventions.

Next generation nurse scientists: A systems approach to engaging undergraduate students in research.

BACKGROUND: Nursing Doctor of Philosophy program enrollment has declined. Undergraduate nursing student (UGS) research engagement is associated with future graduate education, an essential element for building the nursing faculty pipeline. PURPOSE: (a) To describe the infrastructure and culture-enhancing resources and strategies associated with building UGS research engagement and (b) to evaluate UGS research engagement. METHODS: Guided by a socioecological systems model university and college documents, databases, and college of nursing survey results were used to identify approaches to, and outcomes of, engaging UGS in research. Descriptive statistics were calculated to illustrate 5-year UGS research engagement trends. FINDINGS: Resources and strategies included grant funding, research assistant funding, student research showcases, and faculty mentorship. UGS research 5-year engagement trends included (a) a 75% increase in the number of students mentored, (b) a 30% rise in funded research proposals, and (c) a 54% increase in paid research assistantships. DISCUSSION: Purposefully using existing resources, growing the college of nursing infrastructure, and cultivating a culture recognizing faculty contributions were approaches associated with increased UGS research engagement.

Detecting Medication-Taking Gestures Using Machine Learning and Accelerometer Data Collected via Smartwatch Technology: Instrument Validation Study.

BACKGROUND: Medication adherence is a global public health challenge, as only approximately 50% of people adhere to their medication regimens. Medication reminders have shown promising results in terms of promoting medication adherence. However, practical mechanisms to determine whether a medication has been taken or not, once people are reminded, remain elusive. Emerging smartwatch technology may more objectively, unobtrusively, and automatically detect medication taking than currently available methods. OBJECTIVE: This study aimed to examine the feasibility of detecting natural medication-taking gestures using smartwatches. METHODS: A convenience sample (N=28) was recruited using the snowball sampling method. During data collection, each participant recorded at least 5 protocol-guided (scripted) medication-taking events and at least 10 natural instances of medication-taking events per day for 5 days. Using a smartwatch, the accelerometer data were recorded for each session at a sampling rate of 25 Hz. The raw recordings were scrutinized by a team member to validate the accuracy of the self-reports. The validated data were used to train an artificial neural network (ANN) to detect a medication-taking event. The training and testing data included previously recorded accelerometer data from smoking, eating, and jogging activities in addition to the medication-taking data recorded in this study. The accuracy of the model to identify medication taking was evaluated by comparing the ANN's output with the actual output. RESULTS: Most (n=20, 71%) of the 28 study participants were college students and aged 20 to 56 years. Most individuals were Asian (n=12, 43%) or White (n=12, 43%), single (n=24, 86%), and right-hand dominant (n=23, 82%). In total, 2800 medication-taking gestures (n=1400, 50% natural plus n=1400, 50% scripted gestures) were used to train the network. During the testing session, 560 natural medication-taking events that were not previously presented to the ANN were used to assess the network. The accuracy, precision, and recall were calculated to confirm the performance of the network. The trained ANN exhibited an average true-positive and true-negative performance of 96.5% and 94.5%, respectively. The network exhibited <5% error in the incorrect classification of medication-taking gestures. CONCLUSIONS: Smartwatch technology may provide an accurate, nonintrusive means of monitoring complex human behaviors such as natural medication-taking gestures. Future research is warranted to evaluate the efficacy of using modern sensing devices and machine learning algorithms to monitor medication-taking behavior and improve medication adherence.

Methanol-Assisted ADMET Polymerization of Semiaromatic Amides.

A method for the acyclic diene metathesis polymerization of semiaromatic amides is described. The procedure uses second-generation Grubbs' catalyst and N-cyclohexyl-2-pyrrolidone (CHP), a high boiling, polar solvent capable of solubilizing both monomer and polymer. The addition of methanol to the reaction was found to significantly increase polymer molar mass although the role of the alcohol is currently not understood. Hydrogenation with hydrogen gas and Wilkinson's catalyst resulted in near-quantitative saturation. All polymers synthesized here exhibit a hierarchical semicrystalline morphology driven by ordering of aromatic amide groups via strong nonbonded interactions. Furthermore, the melting points can be tuned over a >100 °C range by precise substitution at just one of the backbone positions on each mer (<5% of the total).

Experiences of African Americans Living With Sickle Cell Disease.

INTRODUCTION: About 100,000 individuals in the United States live with sickle cell disease (SCD). Palliative care (PC) can improve symptom management for these individuals. The purpose of the study was to explore (a) the experiences of people living with SCD, and (b) their knowledge and perceptions of PC. METHOD: Using a qualitative, descriptive design, adults with SCD were recruited from a foundation in the southeastern United States. Data included social and SCD-related demographics and audio-recorded, semi-structured focus groups. Analysis took a thematic analysis approach. RESULTS: Participants: There were 16 African Americans who participated in the study, 75% of whom were females, and aged 22 to 71 years. Five themes were identified: unique and unpredictable impact of SCD on daily life, the changing experience of SCD over time, stigmatization/marginalization in health care interactions, perceptions of support in managing SCD symptoms/crises, and PC: "What is it?" DISCUSSION: Participants lacked PC knowledge. PC should be offered to individuals with SCD as part of comprehensive SCD management.

Correction: Medication Adherence Reminder System for Virtual Home Assistants: Mixed Methods Evaluation Study.

[This corrects the article DOI: .].

The impact of exercise perceptions and depressive symptoms on polycystic ovary syndrome-specific health-related quality of life.

BACKGROUND: Studies indicate that women with polycystic ovary syndrome have high depressive symptom scores and more perceived barriers than benefits to exercise, factors that may affect health-related quality-of-life. The purpose of this cross-sectional study was to explore the impact of perceived exercise benefits and barriers, exercise outcome expectations, and depressive symptoms on polycystic ovary syndrome-specific health-related quality-of-life. METHODS: A survey link was posted on polycystic ovary syndrome Facebook groups. Women with polycystic ovary syndrome (n = 935) answered questionnaires about demographics, polycystic ovary syndrome-specific health-related quality-of-life, exercise benefits and barriers, exercise outcome expectations, and depressive symptoms. Data were collected using Qualtrics, transferred to SPSS, and statistically analyzed using regression analyses. Mean responses were reported for the questionnaires, with exercise benefits and barriers means divided for a ratio. RESULTS: Respondents were 32 ± 10.6 years of age, mostly White (72%), and employed full-time (65%). The total mean scores were health-related quality-of-life, 2.7 ± 0.1; exercise outcome expectation, 2.4 ± 0.8; and depressive symptoms, 12.4 ± 5.8. The benefit/barrier ratio was 0.9. HRQoL increased 0.32 points for every additional perceived exercise benefit and 0.61 points for every additional exercise outcome expectation (EOE). HRQoL was reduced by 1.19 points for every additional perceived exercise barrier and 2.82 points for every additional one-point increase of the depressive symptoms score. CONCLUSIONS: Respondents reported low health-related quality-of-life, greater exercise barriers than benefits, neutral exercise outcome expectations, and high depressive symptoms. These results suggest that promoting exercise benefits, overcoming exercise barriers, and addressing management of depressive symptoms are important foci of future efforts to improve health-related quality-of-life among women with polycystic ovary syndrome.

Voice-Activated Virtual Home Assistant Use and Social Isolation and Loneliness Among Older Adults: Mini Review.

A lack of social connectedness is common among older adults due to living alone, loss of loved ones, reduced mobility, and, more recently, social distancing created by the global Covid-19 pandemic. Older adults are vulnerable to social isolation and loneliness, which pose significant health risks comparable to those of smoking, obesity, physical inactivity, and high blood pressure. A lack of social connectedness is also correlated with higher mortality rates even when controlling for other factors such as age and comorbid conditions. The purpose of this mini review was to explore the emerging concepts of older adults' use of commercially available artificial intelligent virtual home assistants (VHAs; e.g., Amazon Echo, Google Nest), and its relationship to social isolation and loneliness. A secondary purpose was to identify potential areas for further research. Results suggest that VHAs are perceived by many older adult users as "companions" and improve social connectedness and reduce loneliness. Available studies are exploratory and descriptive and have limited generalizability due to small sample sizes, however, similar results were reported across several studies conducted in differing countries. Privacy concerns and other ethical issues and costs associated with VHA use were identified as potential risks to older adults' VHA adoption and use. Older adults who were using VHAs expressed the need and desire for more structured training on device use. Future research with stronger methods, including prospective, longitudinal, and randomized study designs are needed. Public education, industry standards, and regulatory oversight is required to mitigate potential risks associated with VHA use.

Resistance Training as Therapeutic Management in Women with PCOS: What is the Evidence?

Polycystic ovary syndrome (PCOS), the most common chronic endocrinopathy and the leading cause of infertility in women, has significant clinical consequences, including cardiovascular, endocrinological, oncological, and psychological co-morbidities. Endocrine Society Clinical Practice Guidelines on the Diagnosis and Treatment of PCOS recommend exercise and physical activity as first-line treatment to combat chronic disease risk. However, details about what type of exercise are not provided. Given the known beneficial effects of resistance training on the management of other chronic diseases, the purpose of this scoping review was to evaluate the scientific evidence about the physical and psychosocial effects of resistance training among women with PCOS. Studies were identified through a systematic search of PubMed, SPORTDiscus, and CINAHL databases. Peer-reviewed research studies published between January 2011 and January 2021 that evaluated a resistance training intervention for premenopausal women with PCOS were included. Studies that offered multi-component programs were excluded. Nine articles met the inclusion criteria of which seven were sub-studies of one larger clinical trial. One article reported findings from a small randomized controlled trial and the last article reported feasibility study findings. Each intervention yielded positive results across a wide range of outcome variables; however, the studies had small sample sizes and assessed different outcome variables. Evidence regarding the effects of resistance training on health outcomes for women with PCOS is positive but preliminary. Adequately powered clinical trials are required to confirm health benefits, answer research questions as to therapeutic dose, and discover behavioral strategies to promote resistance training for therapeutic management.

Medication Adherence Reminder System for Virtual Home Assistants: Mixed Methods Evaluation Study.

BACKGROUND: Medication nonadherence is a global public health challenge that results in suboptimal health outcomes and increases health care costs. Forgetting to take medicines is one of the most common reasons for unintentional medication nonadherence. Research findings indicate that voice-activated virtual home assistants, such as Amazon Echo and Google Home devices, may be useful in promoting medication adherence. OBJECTIVE: This study aims to create a medication adherence app (skill), MedBuddy, for Amazon Echo devices and measure the use, usability, and usefulness of this medication-taking reminder skill. METHODS: A single-group, mixed methods, cohort feasibility study was conducted with women who took oral contraceptives (N=25). Participants were undergraduate students (age: mean 21.8 years, SD 6.2) at an urban university in the Southeast United States. Participants were given an Amazon Echo Dot with MedBuddy-a new medication reminder skill for Echo devices created by our team-attached to their study account, which they used for 60 days. Participants self-reported their baseline and poststudy medication adherence. MedBuddy use was objectively evaluated by tracking participants' interactions with MedBuddy through Amazon Alexa. The usability and usefulness of MedBuddy were evaluated through a poststudy interview in which participants responded to both quantitative and qualitative questions. RESULTS: Participants' interactions with MedBuddy, as tracked through Amazon Alexa, only occurred on half of the study days (mean 50.97, SD 29.5). At study end, participants reported missing their medication less in the past 1 and 6 months compared with baseline (χ21=0.9 and χ21=0.4, respectively; McNemar test: P<.001 for both). However, there was no significant difference in participants' reported adherence to consistently taking medication within the same 2-hour time frame every day in the past 1 or 6 months at the end of the study compared with baseline (χ21=3.5 and χ21=0.4, respectively; McNemar test: P=.63 and P=.07, respectively). Overall feedback about usability was positive, and participants provided constructive feedback about the skill's features that could be improved. Participants' evaluation of MedBuddy's usefulness was overwhelmingly positive-most (15/23, 65%) said that they would continue using MedBuddy as a medication reminder if provided with the opportunity and that they would recommend it to others. MedBuddy features that participants enjoyed were an external prompt separate from their phone, the ability to hear the reminder prompt from a separate room, multiple reminders, and verbal responses to prompts. CONCLUSIONS: The findings of this feasibility study indicate that the MedBuddy medication reminder skill may be useful in promoting medication adherence. However, the skill could benefit from further usability enhancements.

Reducing Fall Risks Among Visually Impaired Older Adults.

Falls are the leading cause of death due to unintentional injuries in the older adult population, and fall-related death rates among older adults are escalating annually. Visual deficits are underrecognized and underdiagnosed, which increases fall risk. The purpose of this article is to provide a review of the common types of visual impairment, their etiology, and treatment and to present strategies to reduce falls among older adults with visual impairments. Both traditional home safety interventions and emerging technology-based interventions to reduce falls are described. Appropriate use of both traditional and emerging fall prevention interventions may reduce fall risk and falls among older adult home healthcare patients.

Balancing Internal and External Validity Using Precis-2 and Re-Aim: Case Exemplars.

The National Institutes of Health estimated that $3-$4 billion is spent supporting clinical trials annually, yet an average of 17 years is required for research evidence to be implemented into practice. Study designs that balance external and internal validity, based on the goals of the study and relative to the state of the science, may accelerate knowledge translation. The purpose of this case study was to evaluate two randomized control trials on the effectiveness-efficacy continuum using the PRagmatic Explanatory Continuum Indicator Summary and the Research Effectiveness Adoption Implementation Maintenance model. Findings provided insight into strategies that may lead to more balanced approaches to research design. Incorporating tools such as PRECIS-2 and RE-AIM when designing and implementing research interventions may accelerate knowledge translation to close the gap between scientific knowledge and clinical practice.

Social construction of biopsychosocial and medical experiences of women with polycystic ovary syndrome.

AIM: To explore the perceived biopsychosocial and medical experiences of women with polycystic ovary syndrome, as presented in stories written by women on a social support website. DESIGN: Qualitative descriptive using low inference content analysis, guided by the social construction of illness theoretical framework. METHODS: In July 2018, 95 of 379 website stories were randomly selected. The stories were analysed, ending in September 2018. RESULTS: Three major themes aligning with framework constructs were identified: Biopsychosocial struggles and management: "I can't even look in the mirror without wanting to cry," Sociocultural navigation: "I feel all alone and no one understands me." and Healthcare encounters: "I don't feel like I'm getting the help I need". These themes revealed that Polycystic ovary syndrome (PCOS) has biological and experiential components, which exist independently of each other and hold social and cultural meanings. CONCLUSION: Care for women with PCOS should be multidisciplinary, multidimensional, and multi-level to ameliorate biopsychosocial issues. Provider (physicians, nurse practitioners, physician assistants) education about PCOS is necessary to enhance timely diagnosis and implement individualized treatment strategies. Non-advanced practice nurses are in a unique position to have an impact on patient satisfaction and clinical outcomes by providing and reinforcing patient education, coordinating management processes, counselling via telephone or in-person appointments and facilitating referrals to ancillary providers. Evidence-based and accessible psychosocial supports and interventions will lead to improved self-esteem and effective coping skills, and reduced stigma-related stress. Lastly, policy changes are warranted to address access to care, health insurance inequities and inadequate funding for PCOS-related research. IMPACT: Increased awareness of PCOS and its biopsychosocial aspects will aid providers with timely diagnosis and meaningful treatment plans. Women with PCOS will gain acknowledgment, acceptance, and insight towards health care and self-management.