Association of comorbid obstructive sleep apnea and insomnia with risk of major adverse cardiovascular events in sleep medicine center patients

OBJECTIVES

To investigate the association between comorbid obstructive sleep apnea and insomnia and major adverse cardiovascular events, including myocardial infarction, unstable angina, congestive heart failure, and stroke, in adults with suspected sleep disorders who underwent sleep apnea testing.

METHODS

We conducted a retrospective analysis of electronic medical records data from patients with clinical encounters at sleep medicine centers to identify patients with comorbid obstructive sleep apnea and insomnia, obstructive sleep apnea only, insomnia only, and patients without a diagnosis of obstructive sleep apnea or insomnia (i.e., controls). Obstructive sleep apnea, insomnia, comorbidities, and new-onset major adverse cardiovascular events were ascertained by ICD-9-CM and ICD-10-CM codes. Multivariable adjusted Cox proportional regression models evaluated the risk of major adverse cardiovascular events over a 10-year follow-up period.

RESULTS

A total of 3951 patients, 226 controls, 2107 with obstructive sleep apnea only, 276 with insomnia only, and 1342 with comorbid obstructive sleep apnea and insomnia, were included in the analysis. Compared to controls, comorbid obstructive sleep apnea and insomnia were associated with a significantly higher risk of developing major adverse cardiovascular events (hazard ratio 3.60, 95 CI%: 2.33-5.91) in unadjusted analyses. The relationship between comorbid obstructive sleep apnea and insomnia and major adverse cardiovascular events remained after adjustment for demographic and behavioral factors, but not after further adjustment for comorbidities. The greatest risk of major adverse cardiovascular events was found among younger adults with comorbid obstructive sleep apnea and insomnia. Obstructive sleep apnea only was associated with greater risk of major adverse cardiovascular events in unadjusted analyses only (hazard ratio 2.77, 95% CI: 1.80-4.54). Insomnia only was not significantly associated with increased risk of major adverse cardiovascular events.

CONCLUSIONS

Comorbid obstructive sleep apnea and insomnia may be a high-risk group for major adverse cardiovascular events, particularly younger adults. Further research is needed to better understand the association between comorbid obstructive sleep apnea and insomnia and major adverse cardiovascular events risk.

Examining Nurses' Perception of Shift Work and Evaluating Supportive Interventions

BACKGROUND

Health care requires a delicate equilibrium of nurse health safety and patient safety outcomes. Shift work can disrupt this balance, resulting in poor outcomes for staff and patients.

PROBLEM

Limited evidence exists on nurses' perceptions of shift work, fatigue countermeasures use, and interest in risk-mitigating interventions.

METHODS

An online survey of nurses was conducted. Survey questions assessed perceptions of shift work, use of fatigue countermeasures, and potential interventions.

RESULTS

The participants perceived multiple differences between day and night shifts when asked about their ability to complete both work- and life-oriented tasks. Use of fatigue countermeasures was more common while working night shift. Potential interventions included the use of blackout curtains, an on-site exercise facility, consulting a nutritionist, and block scheduling.

CONCLUSIONS

Health care leaders should consider nurses' perceptions and interests when incorporating initiatives to mitigate the negative effects of shift work.

Impact of lifestyle-based interventions on absolute cardiovascular disease risk: a systematic review and meta-analysis

OBJECTIVE

The objective of the review was to synthesize the evidence of the effectiveness of lifestyle-based interventions for mitigating absolute cardiovascular disease (CVD) risk.

INTRODUCTION

Evidence-based guidelines recommend employing an absolute CVD risk score to inform the selection and intensity of preventive interventions. However, studies employing this strategy have reported mixed results, hence the need for a systematic review of the current evidence.

INCLUSION CRITERIA

Studies published in English that included a lifestyle-based intervention to mitigate CVD risk were considered. Studies were eligible if they enrolled individuals aged ≥18 years, with no history of CVD at baseline. The primary outcome was change in absolute CVD risk score post-intervention.

METHODS

PubMed, Embase, and CINAHL searches were conducted from database inception to February 2022. The trial registers searched included Cochrane Central Register of Controlled Trials (CENTRAL) and ClinicalTrials.gov. Searches for unpublished studies/gray literature were conducted in ProQuest Dissertations and Theses Global, GreyLit Report, and OCLC First Search Proceedings. Two independent reviewers selected the studies and critically appraised them for methodological quality using JBI tools. Data extraction was performed for main outcome variables. Data were presented using separate pooled statistical meta-analysis for quasi-experimental and randomized clinical trials. Random effects models were employed in the analyses. Effect sizes (Cohen's d) were expressed as standardized mean difference at 95% CI. Heterogeneity was assessed via Cochran's Q statistic, and the inconsistency index ( I2 ) was used to describe variability in effect estimates due to heterogeneity rather than sampling error.

RESULTS

Twenty-nine studies with a total sample of 5490 adults with no CVD at baseline were included. Fifteen were randomized controlled trials (RCTs; n=3605) and 14 were quasi-experimental studies (n=1885). The studies were conducted in Europe (n=18), the United States (n = 5), Asia (n=3), Mexico (n=1), Canada (n = 1), and Australia (n=1) and included the following lifestyle interventions: diet, physical activity, motivational interviewing, problem-solving, psychological counseling, cardiovascular risk assessment and feedback, health self-management education, and peer support. Six validated absolute CVD risk assessment tools were used to measure the study outcomes, including Framingham, SCORE, Heart Health Risk Assessment Score, Dundee, ASSIGN, and The UK Prospective Diabetes Study risk score. Overall, the methodological rigor of the RCTs and quasi-experimental studies was high. Of the 15 RCTs included in the meta-analysis, lifestyle intervention was favored over control in reducing absolute CVD risk score (Cohen's d = -0.39; P =0.032; Z= -2.14; I2 = 96). Similarly, in the 14 quasi-experimental studies, the absolute CVD risk score after lifestyle intervention was significantly lower compared to baseline (Cohen's d = -0.39; P <0.001; Z= -3.54; I2= 88). RCTs that combined diet and physical activity reported no significant impact on absolute CVD risk score, but those that used either intervention independently reported significant improvement in the absolute CVD risk score.

CONCLUSIONS

There is evidence supporting the positive impact of lifestyle modification on absolute CVD risk score in adult populations without CVD. Our analysis further suggests that diet and physical activity had significant impact on absolute CVD risk, and a variety of validated screening tools can be used to monitor, evaluate, and communicate changes in absolute risk score after lifestyle modification.

SUPPLEMENTAL DIGITAL CONTENT

A Spanish-language version of the abstract of this review is available [ http://links.lww.com/SRX/A29 ].

Risk stratification by sex and menopausal status in the multivariable apnea prediction index

STUDY OBJECTIVES

To determine the sensitivity of the Multivariable Apnea Prediction (MAP) index for obstructive sleep apnea (OSA) in pre- and post-menopausal women with the goal of developing a tailored scoring classification approach.

METHODS

Data from two studies (N = 386); the diabetes sleep treatment trial (N = 236) and EMPOWER (N = 150) were used to assess the sensitivity and specificity of the MAP index by comparing men (n = 129) to women (n = 257), and premenopausal (n = 100) to post-menopausal women (n = 136). We evaluated participants at two cut points, apnea-hypopnea index (AHI) values of ≥ 5 and ≥ 10, using 0.5 as a predicted probability cut point to establish baseline sensitivity and specificity. Contingency tables and receiver operating characteristic (ROC) analysis were conducted to evaluate the accuracy of the MAP index in predicting OSA in men versus women, and in pre-versus post-menopausal women. To select optimal predicted probabilities for classification by sex and menopausal status, Youden's J statistic was generated from ROC coordinates.

RESULTS

The MAP index was more sensitive to women in the AHI ≥ 5 group (76%) compared to AHI ≥ 10 group (30%). Among post-menopausal women with AHI ≥ 5, sensitivity was similar to men (98%), but less than men when AHI ≥ 10 (32%). Suggested probability cut points for women with an AHI ≥ 10 are 0.24 overall; 0.15 for premenopausal, and 0.38 for postmenopausal women.

CONCLUSIONS

Because women's risk for OSA (AHI ≥ 10) was underestimated by the MAP index, we suggest the use of tailored cut points based on sex and menopausal status or assessing for OSA risk with an AHI of ≥ 5.

Wake-up Call: Night Shifts Adversely Affect Nurse Health and Retention, Patient and Public Safety, and Costs

The purpose of this mini review is to (1) summarize the findings on the impact of night shift on nurses' health and wellness, patient and public safety, and implications on organizational costs and (2) provide strategies to promote night shift nurses' health and improve organizational costs. The night shift, compared with day shift, results in poorer physical and mental health through its adverse effects on sleep, circadian rhythms, and dietary and beverage consumption, along with impaired cognitive function that increases nurse errors. Nurse administrators and health care organizations have opportunities to improve nurse and patient safety on night shifts. Low-, moderate-, and higher-cost measures that promote night nurses' health and well-being can help mitigate these negative outcomes. The provided individual and organizational recommendations and innovations support night shift nurses' health, patient and public safety, and organizational success.

Financial Hardship and its Associations with Perceived Sleep Quality in Participants with Type 2 Diabetes and Obstructive Sleep Apnea

OBJECTIVES

The purpose of this study was to explore social determinants of health (SDoH), and disease severity as predictors of sleep quality in persons with both Obstructive Sleep Apnea (OSA) and type 2 diabetes (T2D).

METHODS

Disease severity was measured by Apnea-Hypopnea Index [(AHI) ≥ 5] and HbA1c for glycemic control. SDoH included subjective and objective financial hardship, race, sex, marital status, education, and age. Sleep quality was measured by Pittsburgh Sleep Quality Index (PSQI).

RESULTS

The sample (N = 209) was middle-aged (57.6 ± 10.0); 66% White and 34% African American; and 54% men and 46% women. Participants carried a high burden of disease (mean AHI = 20.7 ± 18.1, mean HbA1c = 7.9% ± 1.7%). Disease severity was not significantly associated with sleep quality (all p >.05). Worse sleep quality was associated with both worse subjective (b = -1.54, p = .015) and objective (b = 2.58, p <.001) financial hardship. Characteristics significantly associated with both subjective and objective financial hardship included being African American, female, ≤ 2 years post high school, and of younger ages (all p < .01).Discussion: Financial hardship is a more important predictor of sleep quality than disease severity, age, sex, race, marital status, and educational attainment, in patients with OSA and T2D.

Abstract P460: A Behavioral Intervention to Improve Health Sleep Among Adults With Excess Weight and Suboptimal Sleep Health: Preliminary Results of a Feasibility Study

Introduction: Suboptimal sleep health is highly prevalent and multiple dimensions of poor sleep have been identified as obesity predictors. Prior sleep interventions have not demonstrated a convincing effect on reducing obesity but this may be due to focusing on a single sleep dimension. The Transdiagnostic Intervention for Sleep and Circadian Dysfunction (TranS-C) is an efficacious, individually tailored behavioral intervention aimed at improving multiple dimensions of sleep. However, TranS-C has not been tested in adults with excess weight and suboptimal sleep health.

Purpose: This single group, pre-test, post-test pilot study conducted in adults with excess weight and suboptimal sleep health examined the feasibility and impact of a remotely delivered, 8-week TranS-C intervention on a composite sleep health score and individual sleep health dimensions.

Methods: The six dimensions of sleep addressed in TranS-C were regularity, satisfaction, alertness, timing, efficiency, and duration. Pre- and post-intervention individual sleep dimensions were assessed using validated questionnaires and Fitbit-derived accelerometry data, with values dichotomized into ‘good’ or ‘poor’ for each sleep dimension. A composite sleep health score was calculated as the count of the ‘good’ individual dimensions (possible range 0-6). Effect sizes were calculated as standardized within-subject mean differences ( d ) to describe the intervention effect on the composite score and individual dimensions. We conducted post-intervention semi-structured interviews and used thematic analysis to analyze the qualitative data.

Results: Participants (N = 7) were mostly female (71.4%) and white (71.4%) with a mean age of 41.0 ± 17.2 years and mean body mass index of 33.2 ± 3.8 kg/m 2 . Mean composite sleep health score pre-TranS-C was 3.6 ± 1.3 (range 2-5) compared to a mean post-TranS-C composite sleep health score of 4.7 ± 0.8 (range 4-6) ( d = 1.27). Improvements were seen in all individual dimensions except timing with effect sizes ranging from 0.38 to 1.46. During the semi-structured interviews, participants stated that they found the intervention to be informative, liked receiving the sessions remotely, and thought it improved their sleep. However, participants mentioned that some of the modules were not very helpful because information was repetitive or the information did not apply to them, and they suggested that the intervention be delivered in fewer sessions.

Conclusions: TranS-C was acceptable for participants with overweight or obesity and suboptimal sleep health and had a large, positive effect on the composite sleep health score. Future refinement of the intervention will include reducing the number of sessions by identifying the most relevant modules and eliminating repetitive information. Continued refinement of the intervention will focus on the content addressing the timing dimension of sleep.

Abstract 51: Better Sleep Health is Associated With Greater Adherence to Lifestyle Modification During a 12-month Behavioral Weight Loss Intervention

Introduction: Consistent evidence suggests that poor sleep may impede weight loss efforts; however, the impact of poor sleep on lifestyle modification during attempted weight loss is unclear.

Purpose: To examine the relationship between sleep health and measures of lifestyle modification in a sample of adults who participated in a 12-month behavioral weight loss intervention.

Methods: Adults (N=125) with overweight or obesity (50.3±10.6 years, 91% female, 81% White) participated in a 12-month behavioral weight loss intervention. Assessments occurred at baseline, 6 months, and 12 months. Six dimensions of sleep were included in our operationalization of sleep health: regularity, satisfaction, alertness, timing, efficiency, and duration. Sleep dimensions were assessed using validated questionnaires and actigraphy, with values dichotomized into ‘good’ and ‘poor’ sleep. A composite sleep health score was calculated based upon the count of the ‘good’ individual dimensions (range: 0-6), with higher scores indicating better sleep health. Measures of lifestyle modification included attendance at group intervention sessions, daily adherence to caloric intake goals (% of days), and change in average daily moderate-vigorous physical activity (MVPA). Linear mixed modeling was used to examine the relationship between baseline and 6-month sleep health and lifestyle modification during the subsequent 6-month interval with adjustment for age, gender, bed partner, and race. The composite sleep health score and individual sleep health dimensions were evaluated in separate models.

Results: Mean sleep health was 4.5±1.1 (mean±standard deviation) at baseline and 4.5±1.2 at 6 months; from 0-6 months and 6-12 months, participants attended 79.4±15.0% and 62.3±32.3% of the group intervention sessions, adhered to caloric intake goals on 35.6±23.3% and 21.1±23.3% of the days, and changed MVPA by 8.7±13.6 min/day and -3.7±13.6 min/day. Better sleep health was associated with higher rates of attendance at group intervention sessions (b=2.71, SE=1.29; P=.038), greater adherence to caloric intake goals (b=4.60, SE=1.34; P<.001), and a trend for greater change in MVPA (b=1.41, SE=0.82; P=.088). Associations with lifestyle modification outcomes were observed with the following individual sleep dimensions (each P<.05): regularity with attendance and caloric intake, satisfaction with caloric intake, and duration with MVPA.

Conclusions: Better sleep health was associated with greater adherence to lifestyle modification during a 12-month behavioral weight loss intervention. Whether improving sleep health prior to or during a weight loss intervention facilitates better lifestyle modification outcomes merits examination. Support: NIH R01HL107370.

Nightly Variation in Sleep Influences Self-efficacy for Adhering to a Healthy Lifestyle: A Prospective Study

BACKGROUND

Self-efficacy, or the perceived capability to engage in a behavior, has been shown to play an important role in adhering to weight loss treatment. Given that adherence is extremely important for successful weight loss outcomes and that sleep and self-efficacy are modifiable factors in this relationship, we examined the association between sleep and self-efficacy for adhering to the daily plan. Investigators examined whether various dimensions of sleep were associated with self-efficacy for adhering to the daily recommended lifestyle plan among participants (N = 150) in a 12-month weight loss study.

METHOD

This study was a secondary analysis of data from a 12-month prospective observational study that included a standard behavioral weight loss intervention. Daily assessments at the beginning of day (BOD) of self-efficacy and the previous night's sleep were collected in real-time using ecological momentary assessment.

RESULTS

The analysis included 44,613 BOD assessments. On average, participants reported sleeping for 6.93 ± 1.28 h, reported 1.56 ± 3.54 awakenings, and gave low ratings for trouble sleeping (3.11 ± 2.58; 0: no trouble; 10: a lot of trouble) and mid-high ratings for sleep quality (6.45 ± 2.09; 0: poor; 10: excellent). Participants woke up feeling tired 41.7% of the time. Using linear mixed effects modeling, a better rating in each sleep dimension was associated with higher self-efficacy the following day (all p values < .001).

CONCLUSION

Our findings supported the hypothesis that better sleep would be associated with higher levels of reported self-efficacy for adhering to the healthy lifestyle plan.

Metabolic outcomes in adults with type 2 diabetes and sleep disorders

PURPOSE

Insomnia is frequently co-morbid with obstructive sleep apnea (OSA); the effect of insomnia or co-morbid insomnia and OSA (OSA + I) on associated metabolic outcomes in adults with type 2 diabetes (T2D) remains unclear. This study in adults with T2D compared metabolic outcomes among persons with OSA, insomnia, or OSA + I.

METHODS

This study analyzed baseline data from the Diabetes Sleep Treatment Trial of persons recruited for symptoms of OSA or poor sleep quality. Home sleep studies determined OSA presence and severity. Insomnia was evaluated using the Insomnia Severity Index. Height and weight to calculate body mass index (BMI) and blood for laboratory values were obtained. Multivariate general linear models were used to examine the impact of the type of sleep disorder and sociodemographic, lifestyle, and sleep risk factors on metabolic outcomes.

RESULTS

Participants (N = 253) were middle-aged (56.3 ± 10.5 years), white (60.5%), obese (mean BMI of 35.3 ± 7.1 kg/m²), and male (51.4%) with poor glucose control (mean HbA1c of 8.0 ± 1.8%). Most participants had OSA + I (42.7%) or insomnia only (41.0%). HbA1c and BMI differed among the sleep disorder groups. In addition, in the adjusted models, having insomnia only, compared to OSA only, was associated on average with higher HbA1c levels (b = 1.08 ± 0.40, p < 0.007) and lower BMI (b =  - 7.03 ± 1.43, p < 0.001).

CONCLUSIONS

Findings suggest that insomnia frequently co-exists with OSA, is independently associated with metabolic outcomes in adults with T2D, and should be considered in investigations of the effects of OSA in persons with T2D.

TRIAL REGISTRATION

Diabetes-Obstructive Sleep Apnea Treatment Trial (NCT01901055), https: Clinicaltrials.gov/ct2/show/NCT01901055; Registration date: July 17, 2013.

Sleep problems and associations with cardiovascular disease and all-cause mortality in asthma-COPD overlap: analysis of the National Health and Nutrition Examination Survey (2007-2012)

STUDY OBJECTIVES

The impact of sleep problems (i.e. sleep duration and presence of sleep disorders) on cardiovascular morbidity and all-cause mortality in adults with asthma-COPD overlap (ACO) is unknown.

METHODS

Using the National Health and Nutrition Examination Survey (NHANES) database (2007-2012 cycles) and National Death Index data, we identified 398 persons with ACO. Data on self-reported physician-diagnosed sleep disorder and cardiovascular disease were collected. Sleep duration in hours was categorized as short (≤5), normal (6-8), and long (≥9). Associations between sleep duration and presence of sleep disorders and cardiovascular disease and all-cause mortality were analyzed in regression models adjusted for age, sex, race, smoking status, and body mass index.

RESULTS

Presence of sleep disorders was more commonly reported in the ACO group (24.7%) compared to all other groups. The ACO group had a higher proportion of short sleepers (27.6%) compared to controls (11.7%) and COPD (19.2%) and a higher proportion of long sleepers (6.9%) compared to COPD (5.5%). Presence of sleep disorders was associated with increased risk for CVD (OR = 2.48, 95% CI, 1.65 - 3.73) and death (HR = 1.44, 95% CI, 1.03 - 2.02); risk did not vary between groups. A stronger association existed between sleep duration and increased risk for CVD and all-cause mortality in ACO as compared to COPD and controls.

CONCLUSIONS

These results suggest that persons with ACO may represent a high-risk group that should be targeted for more aggressive intervention of sleep problems, a modifiable risk factor.

Change in Objectively Measured Activity Levels Resulting from the EMPOWER Study Lifestyle Intervention

Purpose

To examine changes in physical activity (PA) during a behavioral weight-loss intervention and determine baseline factors associated with PA goal achievement.

Methods

Overweight/obese community-dwelling adults with valid PA accelerometer data (N=116; mean age 51.7 years; 89% female; 83% non-Hispanic White) were recruited into a single-arm prospective cohort study examining the effects of a 12-month intervention that included 24 in-person group sessions, weight-loss, calorie, fat gram, and PA goals, self-monitoring, and feedback. Minutes of moderate-to-vigorous (MV) PA and steps were measured using a waist-worn accelerometer (ActiGraph GT3x) at baseline, 6 months, and 12 months. Achievement of the 150 minute/week MVPA goal was examined using total minutes and bout minutes (i.e., counting only PA occurring in bouts ≥10 minutes in length). Change in PA was analyzed using non-parametric tests for multiple comparisons. Associations of factors with meeting the PA goal were modeled using binary logistic regression.

Results

At 6 months, there were increases from baseline in MVPA (median [p25, p75]: 5.3 [-0.9, 17.6] minutes/day) and steps (863 [-145, 2790] steps/day), both p<0.001. At 12 months, improvements were attenuated (MVPA: 2.4 [-2.0, 11.4] minutes/day, p=0.047; steps: 374[-570, 1804] p=0.14). At 6 months, 33.6% of individuals met the PA goal (using total or bout minutes). At 12 months, the percent meeting the goal using total MVPA [31%] differed from bout MVPA [22.4%]. Male gender (OR=4.14, p=0.027) and an autumn program start (versus winter; OR=3.39, p=0.011) were associated with greater odds of goal achievement at 6 months.

Conclusions

The intervention increased PA goal achievement at 6 and 12 months with many making clinically meaningful improvements. Our results suggest female participants may require extra support toward improving PA levels.

CE: Nurses Are More Exhausted Than Ever: What Should We Do About It?

ABSTRACT

For nurses, the challenges posed by demanding work environments and schedules often lead to fatigue, and this can be exacerbated during crises like the COVID-19 pandemic. In this article, the authors discuss causes and challenges of nurse fatigue and consider several evidence-based strategies and solutions for individual nurses and organizations. Barriers to implementation, including a negative workplace culture and inadequate staffing, are also described, and several resources are presented.

Considerations for assessing physical function and physical activity in clinical trials during the COVID-19 pandemic

The coronavirus disease-2019 (COVID-19) pandemic has changed the conduct of clinical trials. For studies with physical function and physical activity outcomes that require in-person participation, thoughtful approaches in transitioning to the remote research environment are critical. Here, we share our experiences in transitioning from in-person to remote assessments of physical function and activity during the pandemic and highlight key considerations for success. Details on the development of the remote assessment protocol, integration of a two-way video platform, and implementation of remote assessments are addressed. In particular, procedural challenges and considerations in transitioning and conducting remote assessments will be discussed in terms of efforts to maintain participant safety, maximize study efficiency, and sustain trial integrity. Plans for triangulation and analysis are also discussed. Although the role of telehealth platforms and research activities in remote settings are still growing, our experiences suggest that adopting remote assessment strategies are useful and convenient in assessing study outcomes during, and possibly even beyond, the current pandemic. Trial register and number: ClinicalTrials.gov [NCT03728257].

A Qualitative Exploration of Patients' Experiences with Lifestyle Changes After Sleeve Gastrectomy in China

PURPOSE

Sleeve gastrectomy (SG) is the most widely used surgical treatment for severe obesity worldwide. Individuals who have undergone SG usually need to change lifestyle behaviors as a response to the anatomical changes imposed by SG, and patients need to sustain lifestyle changes for long-term surgical success. Little is known about how patients experience and manage lifestyle changes following SG. In China, where SG comprises over 70% of bariatric surgical procedures, there have been no reports addressing this issue. This study aimed to describe individuals' experiences related to lifestyle changes after SG in China.

MATERIALS AND METHODS

Semi-structured interviews were conducted at the Shanghai Huashan Hospital in China with adults who had undergone SG between 2012 and 2018. Two independent researchers used an interpretive thematic approach to analyze transcripts for themes and sub-themes.

RESULTS

Interviews (N = 15) revealed three major themes of participants' experiences with postoperative lifestyle changes: advantages outweigh disadvantages; developing self-management strategies (i.e., adopting new behaviors and developing habits, continuing self-monitoring, focusing on health over weight, staying determined); and experiencing culture-specific difficulties in adherence to follow-up visits and lifestyle recommendations.

CONCLUSION

The data from this study provided a rich description of the postoperative experiences of patients in China. Participants reported that surgical benefits supersede the surgery-related side effects, and participants were able to develop self-management strategies in order to achieve success. However, personal and social barriers, such as the challenges of applying postoperative dietary guidelines into daily practice, may impede patients making and sustaining recommended behavioral changes.

Bidirectional relationship between sleep and sedentary behavior in adults with overweight or obesity: A secondary analysis

Study Objectives

The relationships between daytime sedentary behavior and that night’s sleep and sleep and next day’s sedentary behavior are unknown. The purpose of this analysis was to examine these potentially bidirectional associations.

Methods

This study was a secondary analysis of baseline data from an ecological momentary assessment study to determine the triggers for dietary lapses during a weight loss intervention. Sedentary behavior, physical activity, and sleep were objectively measured using accelerometers. Linear mixed modeling was used to examine the bidirectional multivariate associations between activity and sleep characteristics for each outcome examined separately. The models included sex, age, body mass index (BMI), education, and day of the week (weekday vs. weekend).

Results

Participants were predominantly white (81.5%) and female (88.9%) with a mean age of 51.2 ± 10.6 years. Longer previous night’s total sleep time (TST) (b = −0.320, standard error [SE] = 0.060; p < .001) and being a weekend (b = −63.845, SE = 9.406; p < .001) were associated with less sedentary time the next day. More daytime sedentary time was associated with less wake after sleep onset (b = −0.018, SE = 0.008; p = .016), fewer awakenings (b = −0.010, SE = 0.004; p = .016), and less TST (b = −0.060, SE = 0.028; p = .029) that night.

Conclusions

The bidirectional relationships between sedentary time and sleep characteristics are complex and may vary depending on participant characteristics and duration of sedentary and sleep time. Interventions to decrease sedentary behavior may benefit by targeting sleep duration and weekday activity.

Sleep and Metabolic Syndrome

Metabolic syndrome (MetS) refers to the clustering of risk factors for cardiovascular disease and diabetes, including central adiposity, hypertension, dyslipidemia, and hyperglycemia. During the past 20 years, there have been parallel and epidemic increases in MetS and impaired sleep. This article describes evidence on the association between MetS and short sleep duration, circadian misalignment, insomnia, and sleep apnea. Potential mechanisms where impaired sleep desynchronizes and worsens metabolic control and interventions to improve sleep and potentially improve MetS are presented.

The association between sleep health and weight change during a 12-month behavioral weight loss intervention

BACKGROUND

Prior research on the relationship between sleep and attempted weight loss failed to recognize the multidimensional nature of sleep. We examined the relationship between a composite measure of sleep health and change in weight and body composition among adults in a weight loss intervention.

METHODS

Adults (N = 125) with overweight or obesity (50.3 ± 10.6 years, 91% female, 81% white) participated in a 12-month behavioral weight loss intervention, with assessments of sleep, weight, fat mass, and fat-free mass at baseline, 6 months, and 12 months. Six sleep dimensions (regularity, satisfaction, alertness, timing, efficiency, and duration) were categorized as "good" or "poor" using questionnaires and actigraphy. A composite score was calculated by summing the number of "good" dimensions. Obstructive sleep apnea (OSA) was assessed in a subsample (n = 117), using the apnea-hypopnea index (AHI) to determine OSA severity. Linear mixed modeling was used to examine the relationships between sleep health and outcomes of percent weight, fat mass, or fat-free mass change during the subsequent 6-month interval, adjusting for age, sex, bed partner, and race; an additional model adjusted for AHI.

RESULTS

Mean baseline and 6-month sleep health was 4.5 ± 1.1 and 4.5 ± 1.2, respectively. Mean weight, fat mass, and fat-free mass changes from 0 to 6 months were -9.3 ± 6.1%, -16.9 ± 13.5%, and -3.4 ± 3.4%, respectively, and 0.4 ± 4.8%, -0.3 ± 10.3%, and 0.7 ± 4.1% from 6 to 12 months. Better sleep health was associated with greater subsequent weight loss (P = 0.016) and fat loss (P = 0.006), but not fat-free mass loss (P = 0.232). Following AHI adjustment, the association between sleep health and weight loss was attenuated (P = 0.102) but remained significant with fat loss (P = 0.040). Regularity, satisfaction, timing, and efficiency were each associated with weight and/or fat loss (P ≤ 0.041).

CONCLUSIONS

Better sleep health was associated with greater weight and fat loss, with associations attenuated after accounting for OSA severity. Future studies should explore whether improving sleep health, OSA, or the combination improves weight loss.

0020 Differentially Expressed Genes Using Saliva Samples from Nurses Rotating Shifts

Introduction

Globally, millions of people work night or rotating shifts (i.e., shift work), including nurses and other healthcare providers. Shift work can cause insufficient and mistimed sleep which disrupts the normal circadian rhythm. Shift work is associated with an increased risk for cardio-metabolic disorders and certain cancers. This descriptive, single group, within-subject, repeated-measures study explored the effect of shift work on gene expression levels in a sample of female nurses engaged in rotating shifts.

Methods

Saliva samples were collected from ten nurses without sleep or alertness medication use or a sleep disorder. The samples were collected using DNA Genotek RNA stabilizing saliva kits after participants worked at least 3 consecutive day shifts (~ 7:30 pm) and 3 consecutive night shifts (~7:30 am). Takara Smarter Stranded Total RNA Seq Kit was used following manufacturer’s instructions on an Illumina NextSeq500. CLC Genomic Workbench 12 (Qiagen) was used for quality control, aligning the sequence reads, normalization, and differential expression analyses. Genes with log2 fold changes of ± 2.0 were included in gene set enrichment and pathway analyses using Ingenuity Pathway Analysis (IPA; Qiagen).

Results

Participants were all female, white, and mostly healthy with a mean ± SD age of 27.2 ± 4.5 years. Compared to the post-day shift samples, a total of 287 genes were differentially expressed at a log2 fold change of ± 2.0 in the post-night shift samples. The genes with the greatest increase in expression levels were: PRDX5, SLC7A5, FCGR1A, DNAJC7, PSMD4, and PER1. The genes with the greatest decrease in expression levels were: PPIP5K2, SCART1, CASP10, SLC24A4, and OSBP. Based on the IPA analyses, the differentially expressed genes play a role in gene expression, cell signaling, cell death and survival, and RNA damage and repair.

Conclusion

Significant differential gene expression in pathways associated with poor health were observed among female nurses engaged in rotating shifts. Potential molecular and cellular functions were identified that may be the mechanisms resulting in the increased health risks associated with shift work.

Support

University of Pittsburgh School of Nursing Center for Research and Evaluation Pilot/Feasibility Study Program

Correlates of Endothelial Function in Older Adults With Untreated Obstructive Sleep Apnea and Cardiovascular Disease

BACKGROUND

Obstructive sleep apnea (OSA) is a highly prevalent and consequential sleep disorder in older adults. Untreated moderate to severe OSA substantially increases the risk for hypertension and cardiovascular disease (CVD), which can be attributed to the accelerated progression of atherosclerosis and endothelial dysfunction.

OBJECTIVE

The aim of this study was to identify factors that can function as correlates of endothelial function in older adults with untreated, moderate to severe OSA and CVD or CVD risk factors.

METHODS

A subsample (N = 126) of adults aged 65 years and older from the HeartBEAT study were included in the analyses. Univariate analyses and multiple linear regression models were conducted to establish which demographic and CVD risk factors were the best correlates of endothelial function.

RESULTS

In the univariate analyses, sex, employment status, body mass index, waist circumference, hip-to-waist ratio, neck circumference, diastolic blood pressure, total cholesterol, high-density lipoprotein cholesterol, total cholesterol to high-density lipoprotein cholesterol ratio, plasminogen activator inhibitor-1, calcium channel blocker use, and β-blocker use were associated with endothelial function at a level of P < .10. In the most parsimonious model, male sex (b = -0.305, P < .001), calcium channel blocker use (b = -0.148, P < .019), and body mass index (b = -.014, P < .037) were negatively associated with endothelial function after adjusting for the other covariates.

CONCLUSIONS

The authors identified correlates of endothelial function in older adults with untreated OSA and CVD or CVD risk factors, which are different than the correlates in middle-aged adults with the same conditions.

Feasible but Not Yet Efficacious: A Scoping Review of Wearable Activity Monitors in Interventions Targeting Physical Activity, Sedentary Behavior, and Sleep

Purpose of Review

The present review aimed to explore the range and characteristics of interventions that utilize WAM and descriptively summarize the efficacy of these interventions.

Recent Findings

A total of 65 articles (61 studies) were included in this review. Most of the WAM-based interventions (n=58) were designed to improve physical activity (PA). Interventions targeting sedentary behavior (SB) were much less common (n=12), and even less frequent were WAM-based sleep interventions (n=3). Most studies tested the feasibility of WAM-based interventions; hence, efficacy of these interventions in improving PA, SB, and/or sleep could not be conclusively determined. Nonetheless, WAM-based interventions showed considerable potential in increasing PA and decreasing SB.

Summary

WAM-based PA interventions exhibited preliminary efficacy in increasing PA. Although not as many interventions were focused on SB, current interventions also showed potential in decreasing sedentary time. Meanwhile, more evidence is needed to determine the utility of WAM in improving sleep. Major challenges with including WAM as part of interventions are reduced engagement in using the devices over time and the rapid changes in technology resulting in devices becoming obsolete soon after completion of an efficacy trial.

Impact of lifestyle modification on absolute cardiovascular disease risk: a systematic review protocol

OBJECTIVE

The objective of this review is to synthesize the available evidence on the effectiveness of lifestyle-based interventions for reducing absolute cardiovascular disease (CVD).

INTRODUCTION

Cardiovascular disease prevention guidelines recommend tailoring the choice and intensity of preventive interventions based on absolute CVD risk score. Several studies employing lifestyle-based interventions to mitigate CVD risk have reported heterogeneous outcomes, necessitating a systematic review to provide an exhaustive summary of current evidence.

INCLUSION CRITERIA

Eligible studies will include individuals at high-risk of CVD who are at least 18 years of age, with no history of CVD at baseline, regardless of sex, ethnicity and socio-economic status. Studies that compare lifestyle-based intervention to no intervention or usual care will be included. The outcome of interest is change in absolute CVD risk from baseline to post-intervention. Experimental and quasi-experimental study designs will be included.

METHODS

Searches will be conducted in PubMed, EMBASE and CINAHL from the inception of each database. The search for gray literature will include ProQuest Dissertations and Theses Global, Grey Literature Report, Web of Science, BIOSIS Previews and the Proceedings database. Selected studies will be critically appraised by two independent reviewers at the study level for methodological quality. Extracted data will include details about the interventions, populations, study methods and outcomes of significance to the review question and objectives. Where possible, papers will be pooled in statistical meta-analysis. Effect sizes will be expressed as either odds ratios or standardized mean differences, and their 95% confidence intervals will be calculated for analysis.

SYSTEMATIC REVIEW REGISTRATION NUMBER

PROSPERO CRD42017073543.

Rotating Shifts Negatively Impacts Health and Wellness Among Intensive Care Nurses

The impact of shift work on sleep and health has been examined in the past, but most studies utilized cross-sectional designs relying on between-subject differences. The purpose this study was to examine the within-subject differences in self-report measures of health and wellness among a group of nurses engaged in rotating shifts. Patient-Reported Outcomes Measurement Information System (PROMIS) measures, collected post-day and post-night shift, were used to assess health, sleep disturbances and sleep-related impairment, fatigue, emotional distress (anger), satisfaction with social roles outside of work, and applied cognitive abilities. Among the sample of 23 White, mostly female (91.3%) nurses, all PROMIS measures were worse indicting lower health and wellness after working night shifts compare to after working day shifts ( p values from .167 to < .001). During both time points of assessment, sleep-related impairment was highly correlated with greater emotional distress, greater fatigue, and worse memory and concentration. Study findings support prior studies that shift work can negatively impact health and wellness.

Sleep and Self-Rated Health in an Aging Workforce

The labor force participation rate for adults aged 55 years and older has increased nearly 10% over the past two and a half decades. As workers age, they frequently experience increased chronic health conditions and impaired sleep, which may negatively influence their self-rated health (SRH) and work performance. This study aimed to examine the associations between nonrestorative sleep (NRS) and work performance (i.e., difficulty concentrating or having lower productivity at work) and associations between demographic and sleep characteristics with SRH in middle-aged workers. We conducted a secondary data analysis among working middle-aged adults 50 to 65 years of age ( N = 392) from the 2008 Sleep in America Poll. Respondents frequently reported impaired sleep such as frequent insomnia symptoms, NRS, and short sleep duration. Nonrestorative sleep was associated with decreased work performance such as trouble organizing work, doing work over due to mistakes, and lower productivity. Nonrestorative sleep and short sleep duration were significantly associated with lower SRH. Strategies for the early detection of impaired sleep and implementation of interventions to improve sleep may improve SRH and work performance in working middle-aged adults.

DNA methylation changes and improved sleep quality in adults with obstructive sleep apnea and diabetes

OBJECTIVE

Obstructive sleep apnea (OSA) is common among adults with diabetes. However, little is known about the impact of OSA treatment on DNA methylation levels. The purpose of this study is to explore changes in DNA methylation levels among adults with these conditions enrolled in a randomized controlled trial.

RESEARCH DESIGN AND METHODS

Participants were randomized to continuous positive airway pressure (CPAP) treatment or sham-CPAP placebo for 12 weeks. All participants received diabetes education and counseling. At baseline and 12 weeks, white blood cell DNA methylation levels for five candidate genes (ANGPTL4, DAPK3, KAT5, PER1, and TNFAIP3) and hemoglobin A1C (A1C) levels were obtained from blood. The Pittsburgh Sleep Quality Index (PSQI) and the Epworth Sleepiness Scale (ESS) assessed sleep quality and daytime sleepiness, respectively. T-tests examined within-subject changes from baseline to 12 weeks. Regression analyses explored associations between DNA methylation changes and baseline variables, minutes of therapeutic CPAP use, and changes in A1C levels, PSQI scores, and ESS scores.

RESULTS

Participants (n=10) were 70% female, 80% white, and 61.7±7.9 years old. Among all participants from baseline and 12 weeks, TNFAIP3 and PER1 DNA methylation levels decreased. At baseline, PER1 methylation levels were significantly higher in males and sex-based difference in methylation level changes was observed from baseline to 12 weeks. Changes in DNA methylation levels were not associated with minutes of therapeutic CPAP use or changes in A1C, PSQI scores, and ESS scores.

CONCLUSIONS

While DNA methylation level changes were observed in the study, the causal mechanism is unclear and additional work is needed. Although the methylation changes were small, the long-term effects are unknown.

Group-Based Trajectory Analysis of Physical Activity Change in a US Weight Loss Intervention

BACKGROUND

The obesity epidemic is a global concern. Standard behavioral treatment including increased physical activity, reduced energy intake, and behavioral change counseling is an effective lifestyle intervention for weight loss.

PURPOSE

To identify distinct step count patterns among weight loss intervention participants, examine weight loss differences by trajectory group, and examine baseline factors associated with trajectory group membership.

METHODS

Both groups received group-based standard behavioral treatment while the experimental group received up to 30 additional, one-on-one self-efficacy enhancement sessions. Data were analyzed using group-based trajectory modeling, analysis of variance, chi-square tests, and multinomial logistic regression.

RESULTS

Participants (N = 120) were mostly female (81.8%) and white (73.6%) with a mean (SD) body mass index of 33.2 (3.8) kg/m2. Four step count trajectory groups were identified: active (>10,000 steps/day; 11.7%), somewhat active (7500-10,000 steps/day; 28.3%), low active (5000-7500 steps/day; 27.5%), and sedentary (<5000 steps/day; 32.5%). Percent weight loss at 12 months increased incrementally by trajectory group (5.1% [5.7%], 7.8% [6.9%], 8.0% [7.4%], and 13.63% [7.0%], respectively; P = .001). At baseline, lower body mass index and higher perceived health predicted membership in the better performing trajectory groups.

CONCLUSIONS

Within a larger group of adults in a weight loss intervention, 4 distinct trajectory groups were identified and group membership was associated with differential weight loss.

Bidirectional Relationships Between Weight Change and Sleep Apnea in a Behavioral Weight Loss Intervention

OBJECTIVE

To examine the bidirectional relationship between weight change and obstructive sleep apnea (OSA) in the context of a behavioral weight loss intervention.

PATIENTS AND METHODS

Adults who were overweight or obese (N=114) participated in a 12-month behavioral weight loss intervention from April 17, 2012, through February 9, 2015. The apnea-hypopnea index (AHI), a marker of the presence and severity of OSA, was assessed at baseline, 6 months, and 12 months. Linear mixed models evaluated the effect of weight change on the AHI and the effect of OSA (AHI ≥5) on subsequent weight loss. Secondary analyses evaluated the effect of OSA on intervention attendance, meeting daily calorie goals, and accelerometer-measured physical activity.

RESULTS

At baseline, 51.8% of the sample (n=59) had OSA. Adults who achieved at least 5% weight loss had an AHI reduction that was 2.1±0.9 (adjusted mean ± SE) events/h greater than those with less than 5% weight loss (P<.05). Adults with OSA lost a mean ± SE of 2.2%±0.9% less weight during the subsequent 6-month interval compared with those without OSA (P=.02). Those with OSA were less adherent to daily calorie goals (mean ± SE: 25.2%±3.3% vs 34.8%±3.4% of days; P=.006) and had a smaller increase in daily activity (mean ± SE: 378.3±353.7 vs 1060.1±377.8 steps/d; P<.05) over 12 months than those without OSA.

CONCLUSION

Behaviorally induced weight loss in overweight/obese adults was associated with significant AHI reduction. However, the presence of OSA was associated with blunted weight loss, potentially via reduced adherence to behaviors supporting weight loss. These results suggest that OSA screening before attempting weight loss may be helpful to identify who may benefit from additional behavioral counseling.

Perceived Versus Actual Risk of Type 2 Diabetes by Race and Ethnicity

Purpose The purpose of this study was to examine associations between perceived risk and actual risk of type 2 diabetes by race and/or ethnicity. Methods The study sample included 10 999 adults from the 2011 to 2014 National Health and Nutrition Examination Survey. Sociodemographic, clinical, and behavioral data were collected using interviews and physical examinations. Participants were asked if they felt at risk for diabetes or prediabetes and then asked the reasons why. Data analyses were conducted with SAS to properly analyze complex survey data. Results About 86% of the sample (n = 9496) answered the risk perception question for diabetes, and among those, 28.4% indicated having a high perceived risk. Among this subsample, 38.3% were identified as having an actual risk for prediabetes or diabetes according to the American Diabetes Association guidelines. Across all race groups, the most frequently reported risk factors participants believed to contribute to their risk for diabetes were family history of diabetes, obesity, and poor diet habits. When the percentage of participants with an actual risk factor who correctly perceived it as a risk factor was examined, fewer Asians correctly perceived weight status and physical activity level as a risk for diabetes in contrast to the other racial/ethnic groups. Conclusions Our study showed that when perception was compared to actual risks, associations differed statistically by race. It will be essential to discuss their risk perception to proper screening for diabetes and relevant lifestyle modifications to prevent and delay the onset of diabetes.

Symptom Science: Repurposing Existing Omics Data

Omics approaches, including genomics, transcriptomics, proteomics, epigenomics, microbiomics, and metabolomics, generate large data sets. Once they have been used to address initial study aims, these large data sets are extremely valuable to the greater research community for ancillary investigations. Repurposing available omics data sets provides data to address research questions, generate and test hypotheses, replicate findings, and conduct mega-analyses. Many well-characterized, longitudinal, epidemiological studies collected extensive phenotype data related to symptom occurrence and severity. While the main phenotype of interest for many of these studies was often not symptom related, these data were collected to better understand the primary phenotype of interest. A search for symptom data (i.e., cognitive impairment, fatigue, gastrointestinal distress/nausea, sleep, and pain) in the database of genotypes and phenotypes (dbGaP) revealed many studies that collected symptom and omics data. There is thus a real possibility for nurse scientists to be able to look at symptom data over time from thousands of individuals and use omics data to identify key biological underpinnings that account for the development and severity of symptoms without recruiting participants or generating any new data. The purpose of this article is to introduce the reader to resources that provide omics data to the research community for repurposing, provide guidance on using these databases, and encourage the use of these data to move symptom science forward.

Outcomes of a Pilot Intervention Study for Young Adults at Risk for Cardiovascular Disease Based on Their Family History

BACKGROUND

Lifestyle choices have a significant impact on cardiovascular disease (CVD) risk. Interventions to promote a heart-healthy lifestyle in young adults at long-term high risk for CVD are needed to decrease the burden of CVD. However, few interventions with this purpose have been developed.

OBJECTIVE

The objective of this study was to examine the effect of a pilot intervention on young adults with a family history of CVD that used 3-generation pedigrees, risk factor information, and counseling on heart disease knowledge, perceived CVD risk, and intention to engage in a heart-healthy lifestyle.

METHODS

A pretest-posttest design, with within-group analysis, was used to examine the effect of the intervention. Paired t test and Wilcoxon signed rank tests were used to examine the changes in heart disease knowledge, perceived risk, and behavioral intention from baseline to postintervention. The Cohen d was calculated to examine the effect of the intervention on study measures. In addition, Spearman ρ was used to examine the associations between postintervention perceived risk, postintervention behavioral intention, and family history.

RESULTS

The sample for the pilot study included 15 mostly white and mostly female healthy young adults between the ages of 18 and 25 years. The intervention was effective at increasing CVD knowledge (P = .02) and had a medium effect on perceived risk and intention to engage in a heart-healthy lifestyle (Cohen d, 0.48-0.58). There were significant associations between postintervention perceived risk and postintervention intention to exercise and the participants' family history of coronary heart disease (r = 0.62, P = .014 and r = 0.55, P = .035, respectively).

CONCLUSIONS

Interventions are needed to increase individuals' awareness of their long-term CVD risk and to improve their ability to make lifestyle changes. Although this intervention was only tested in a small sample, it shows promise to improve heart disease knowledge and perceived lifetime CVD risk and may effect longer-term risk for CVD.

Socio-demographic, anthropometric, and psychosocial predictors of attrition across behavioral weight-loss trials

Preventing attrition is a major concern in behavioral weight loss intervention studies. The purpose of this analysis was to identify baseline and six-month predictors associated with participant attrition across three independent clinical trials of behavioral weight loss interventions (PREFER, SELF, and SMART) that were conducted over 10 years. Baseline measures included body mass index, Barriers to Healthy Eating, Beck Depression Inventory-II (BDI), Hunger Satiety Scale (HSS), Binge Eating Scale (BES), Medical Outcome Study Short Form (MOS SF-36 v2) and Weight Efficacy Lifestyle Questionnaire (WEL). We also examined early weight loss and attendance at group sessions during the first 6 months. Attrition was recorded at the end of the trials. Participants included 504 overweight and obese adults seeking weight loss treatment. The sample was 84.92% female and 73.61% white, with a mean (± SD) age of 47.35 ± 9.75 years. After controlling for the specific trial, for every one unit increase in BMI, the odds of attrition increased by 11%. For every year increase in education, the odds of attrition decreased by 10%. Additional predictors of attrition included previous attempts to lose 50-79 lbs, age, not possessing health insurance, and BES, BDI, and HSS scores. At 6 months, the odds of attrition increased by 10% with reduced group session attendance. There was also an interaction between percent weight change and trial (p<.001). Multivariate analysis of the three trials showed education, age, BMI, and BES scores were independently associated with attrition (ps ≤ .01). These findings may inform the development of more robust strategies for reducing attrition.

Screening and evaluation tools for sleep disorders in older adults

The negative effects of impaired sleep on physical and mental well-being in older adults have recently been recognized by health care professionals. However, researchers and clinicians may be unaware of reliable and valid screening and evaluation tools for evaluating sleep disorders in older adults. The purpose of this article is to present subjective and objective instruments that measure sleep quality, excessive daytime sleepiness, obstructive sleep apnea, insomnia and restless leg syndrome that are appropriate for use in adult and older adult patients.

The SELF trial: A self-efficacy-based behavioral intervention trial for weight loss maintenance

OBJECTIVE

The SELF Trial examined the effect of adding individual self-efficacy (SE) enhancement sessions to standard behavioral weight loss treatment (SBT).

METHODS

Participants were randomly assigned to SBT or SBT plus SE sessions (SBT+SE). Outcome measures were weight loss maintenance, quality of life, intervention adherence, and self-efficacy at 12 and 18 months.

RESULTS

The sample (N = 130) was female (83.08%) with a mean (SD) body mass index of 33.15 (4.11) kg m(2) . There was a significant time effect for percent weight change (P = 0.002) yet no significant group or group-by-time effects. The weight loss for the SBT+SE group was 8.38% (7.48) at 12 months and 8.00% (7.87) at 18 months, with no significant difference between the two time points (P = 0.06). However, weight loss for the SBT group was 6.95% (6.67) at 12 months and 5.96% (7.35) at 18 months, which was significantly different between the two time points (P = 0.005), indicating that the SBT group had significant weight regain.

CONCLUSIONS

Both groups achieved clinically significant weight loss. The group receiving an intervention targeting enhanced self-efficacy had greater weight loss maintenance whereas the SBT group demonstrated significant weight regain possibly related to the greater attention provided to the SBT+SE group.

The Obesity Epidemic: The United States as a Cautionary Tale for the Rest of the World

Obesity is a global epidemic and its prevalence continues to increase in many developed and developing countries. This brief review provides an update on the prevalence of obesity in the United States (US) and globally, reviews the underlying mechanism of several comorbidities associated with obesity, and discusses the economic burden of obesity. Although the overall prevalence of obesity in the US is not increasing, racial and ethnic minorities continue to struggle with rising obesity rates. Globally, the largest increases are being observed in developing continues. Given the comorbidities associated with obesity and its immense economic burden, nearly every country will soon struggle with the financial and healthcare implications of the epidemic.

My family medical history and me: feasibility results of a cardiovascular risk reduction intervention

OBJECTIVE

Evaluate the feasibility and acceptability of a behaviorally focused intervention designed to increase perceived cardiovascular disease (CVD) and coronary heart disease (CHD) risk in young adults with a family history (FH) of CVD/CHD.

DESIGN AND SAMPLE

Single group, pre-post-test design. Fifteen, mostly female (n = 13, 86.7%), White, young adults (mean age 20.8 years) with a minimum of a high school education with a FH of CVD/CHD.

MEASURES

Feasibility examined the recruitment strategy, study procedures, appropriateness and quality of the study instruments, and problems that occurred during delivery of the intervention. Acceptability examined participants' engagement in the in person sessions and at home exercises and their feedback about the intervention.

INTERVENTION

Two, in person sessions provided personalized, tailored messages about 10-year and lifetime CHD risk based on risk factors, FH from a three-generation pedigree, lipid levels, blood pressure, and smoking status, and brief counseling about how to engage in a healthy lifestyle to decrease CVD/CHD risk.

RESULTS

The intervention was feasible and acceptable. Participants requested more information on healthy food choices, including which foods to avoid and which exercises most improve cardiovascular health.

CONCLUSIONS

Although requiring refinement, the intervention has potential public health implications and deserves further testing.

Low-density lipoprotein cholesterol, apolipoprotein B, and risk of coronary heart disease: from familial hyperlipidemia to genomics

Coronary heart disease (CHD) affects 17 million people in the United States and accounts for over a million hospital stays each year. Technological advances, especially in genetics and genomics, have changed our understanding of the risk factors for developing CHD. The purpose of this article is to review low-density lipoprotein cholesterol (LDL-C), apolipoprotein B (apo B), and risk of CHD. The article focuses on five topics: (1) a description of lipoprotein classes, normal lipoprotein metabolism, and the biological mechanism of atherosclerosis; (2) a review of selected epidemiologic and clinical trial studies examining the associations between elevated LDL-C and apo B with CHD; (3) a brief review of the familial forms of hyperlipidemia; (4) a description of variants in genes that have been associated with higher LDL-C levels in candidate gene studies and genome-wide association studies (GWAS); and (5) nursing implications, including a discussion on how genetic tests are evaluated and the current clinical utility and validity of genetic tests for CHD.

Descriptive study of partners' experiences of living with severe heart failure

PURPOSE

This qualitative study sought to describe the experiences of living with severe heart failure (HF) from the perspective of the partner.

METHODS

In-depth, semistructured interviews were conducted with 14 partners of individuals diagnosed with severe HF. Content analysis was performed to derive the main themes and subthemes of responses.

RESULTS

Three main themes were derived from the data: (1) My Experience of HF in My Loved One, (2) Experience With Healthcare Providers, and the (3) Patient's Experience of HF as Perceived by the Partner.

CONCLUSION

The severity of the patient's disease limited the partner's lifestyle, resulting in social isolation and difficulties in planning for the future for both the patient and the partner. The partners were unprepared to manage the disease burden at home without consistent information and assistance by healthcare providers. Moreover, end-of-life planning was neither encouraged by healthcare providers nor embraced by patients or partners.