Resilience in family caregivers of Asian older people with dementia: An integrative review.

AIM: To identify factors associated with resilience in family caregivers of Asian older people with dementia based on Luthar and Cicchetti's definition of resilience. DESIGN: Integrative review of resilience in family caregivers of Asian older people with dementia reported by studies with quantitative and qualitative research designs. DATA SOURCES: Databases used for the literature search included CINAHL, PubMed, EMBASE, PsycINFO and Google Scholar. REVIEW METHODS: A total of 565 potentially relevant studies published between January 1985 and March 2024 were screened, and 27 articles met the inclusion criteria. RESULTS: Family caregivers were most commonly adult children of care recipients, female and providing care in their home. Two themes emerged from the review: factors associated with adversity (dementia severity, caregiver role strain, stigma, family stress, female gender, low income and low education) and factors associated with positive adaptational outcomes (positive aspect of caregiving, social support and religiosity/spirituality). CONCLUSION: In our review of Asian research, four new factors-caregiver role strain, stigma, family stress and positive aspects of caregiving-emerged alongside those previously identified in Western studies. A paradigm shift was observed from a focus on factors associated with adversity to factors associated with positive adaptational outcomes, particularly after the issuance of the WHO's 2017 global action plan for dementia. However, a gap remains between WHO policy recommendations and actual research, with studies often neglecting to address gender and socioeconomic factors. IMPACT: The review findings will broaden healthcare providers' understanding of resilience in dementia caregivers and use them to develop comprehensive programmes aimed at reducing factors associated with adversity and enhancing those associated with positive adaptational outcomes. This approach can be customized to incorporate Asian cultural values, empowering caregivers to navigate challenges more effectively. NO PATIENT OR PUBLIC CONTRIBUTION: This paper is an integrative review and does not include patient or public contributions.

Physical Activity After Heart Surgery: Associations With Psychosocial and Sleep Factors.

BACKGROUND: Heart surgery is an effective intervention for managing heart disease, the leading cause of death globally. After surgery, physical activity is key to improving patients' quality of life and decreasing mortality, but patients are frequently physically inactive after heart surgery. OBJECTIVE: This cross-sectional pilot study aimed to examine how psychosocial and sleep factors influenced physical activity in patients after heart surgery. The mediating role of sleep factors between psychosocial factors and physical activity was also examined. METHODS: Thirty-three patients who had undergone heart surgery were recruited. Psychosocial and sleep factors and physical activity were measured using an online survey and a wrist-worn ActiGraph for 7 days and nights. RESULTS: The participants had heart surgery an average of about 7 years previously. They exceeded the recommended 150 minutes per week of moderate-intensity physical activity for Americans; however, 64% of them showed poor sleep quality (Pittsburgh Sleep Quality Index >5). Higher anxiety and depressive symptoms, lower self-efficacy, and greater sleep disturbances were associated with lower physical activity. Moreover, self-efficacy, sleep duration, sleep disturbance, sleep efficiency, and wake after sleep onset were predictors for physical activity. No mediating role of sleep factors was observed between psychosocial factors and physical activity. CONCLUSIONS: Psychosocial and sleep factors should be considered when developing and implementing physical activity strategies for patients after heart surgery. Researchers should examine the relationships among the study variables with larger samples of postsurgical cardiac patients during different periods after heart surgery.

Effects of daily sleep on physical activity after cardiac surgery.

BACKGROUND: Maintaining physical activity is challenging after cardiac surgery. Postsurgical cardiac patients often experience sleep problems showing a reciprocal interaction with physical activity. As sleep and physical activity show day-to-day variations, their daily relationships need to be assessed. However, no studies have examined daily sleep-physical activity relationships in postsurgical cardiac patients. OBJECTIVES: This study aimed to examine the effects of daily sleep factors on daily physical activity after cardiac surgery. METHODS: Among 33 patients who underwent cardiac surgery at least 10 weeks earlier, 5 sleep and 4 physical activity variables were measured using a wrist-worn ActiGraph for 7 days. Mixed-effects models were applied for data analyses. RESULTS: Most participants were male (57.6 %), non-Hispanic whites (63.6 %) who had coronary artery bypass graft surgery (54.6 %). Participants averaged 60.8 ± 10.1 years of age and 85.7 ± 91.2 months since surgery. They slept for an average of 385.6 ± 74.6 min (6.4 ± 1.2 h). Among sleep factors, greater number of awakenings (NOA) predicted lower next-day sedentary time. Higher sleep efficiency (SE) was associated with lower next-day sedentary time when not controlling for covariates. Among the psychosocial, demographic, and clinical covariates, higher comorbidity index was associated with fewer kcals expended, less daily moderate-to-vigorous physical activity, and more daily sedentary time. CONCLUSIONS: Daily SE and NOA and individual health status, including comorbidity, should be assessed over time to support improvement of daily physical activity after cardiac surgery. Researchers should examine the relationship between NOA and next-day sedentary time with larger samples. Such research should address multiple psychosocial, demographic, and clinical factors and the potential mediating role of sleep.

Behavioral interventions and symptom cluster change in adults with chronic obstructive pulmonary disease and insomnia.

BACKGROUND: People with chronic obstructive pulmonary disease (COPD) and insomnia experience multiple co-occurring symptoms, but no studies have examined symptom cluster change over time in this population. OBJECTIVES: This study explored longitudinal patterns of symptom cluster profiles for adults with COPD and insomnia and evaluated whether behavioral interventions were associated with changes in symptom cluster profiles. METHODS: This study included 91 adults with COPD and insomnia who participated in a randomized trial of cognitive behavioral therapy for insomnia (CBT-I) and COPD education. The pre-specified symptom cluster included insomnia, dyspnea, fatigue, anxiety, and depression. Latent profile analysis identified participant groups with distinct symptom cluster profiles at baseline, immediately post-intervention, and at 3-month follow-up; latent transition analysis then estimated the probability of group membership change over time. Multinomial logistic regression was used to determine whether the interventions were associated with changes in symptom cluster profiles. RESULTS: Three groups were identified at each of three time-points: Class 1 (low symptom burden), Class 2 (intermediate), and Class 3 (high). Classes 1 and 2 showed less movement to other classes (16 % and 38 %, respectively), whereas Class 3 showed greater transition (64 %). The CBT-I intervention was significantly associated with movement to a lower symptom burden group (Class 3 to 2 or 2 to 1). CONCLUSIONS: CBT-I, with or without COPD education, shows promise as a tailored intervention to reduce symptom burden in the study population. Study findings will facilitate development of interventions to reduce the severity of multiple co-occurring symptoms in people with COPD and insomnia. CLINICAL TRIAL REGISTRATION: Registry: ClinicalTrials.gov; Name: A Behavioral Therapy for Insomnia Co-existing with COPD; Identifier: NCT01973647.

Information Needs and Its Association With Depressive Symptoms in People With Type 2 Diabetes.

PURPOSE: The purpose of this study was to describe the information needs and examine its association with depressive symptoms in people with type 2 diabetes (T2D). METHODS: A descriptive, correlational design was used. People with T2D (N = 358) were recruited from 12 communities in Shanghai, China. Self-reported information needs and depressive symptoms were measured using the Information Needs in Diabetes Questionnaire and Patient Health Questionnaire-9 (PHQ-9), respectively. Multivariate linear regression analysis was performed. RESULTS: The participants were 64.8 years on average, and 46.6% were men. One hundred fifty-one (42.2%) had depressive symptoms (PHQ-9 ≥ 5). Participants had the least knowledge about "diabetes research," "acute complications," and "lifestyle adjustment." The sample had the highest levels of information needs about topics including "mental strain," "treatment/therapy," and "diabetes in everyday life." Compared to those without depressive symptoms, those experiencing depressive symptoms were less informed and had higher levels of need for further information. Controlling for covariates, higher levels of need for further information were significantly associated with greater depressive symptoms (B = 0.368, 95% CI, 0.155-0.582, P = .001). CONCLUSIONS: This study demonstrated areas that should be prioritized when meeting patients' information needs. It also showed the potential negative effect of unmet information needs on depression. These findings may help develop a more tailored intervention for people with T2D.

Symptom Cluster Profiles in Adults with Chronic Obstructive Pulmonary Disease and Insomnia.

BACKGROUND: People with chronic obstructive pulmonary disease (COPD) and insomnia may experience multiple symptoms that can affect physical function, but little research has focused on symptom clusters in this population. OBJECTIVES: This study aimed to identify subgroups of people with COPD and insomnia based on a pre-specified symptom cluster and determine whether physical function differed in the subgroups. METHODS: This secondary data analysis included 102 people with insomnia and COPD. Latent profile analysis classified subgroups of individuals sharing similar patterns of five symptoms: insomnia, dyspnea, fatigue, anxiety, and depression. Multinomial logistic regression and multiple regression determined factors associated with the subgroups and whether physical function differed among them. RESULTS: Three groups of participants were identified based on the severity of all five symptoms: low (Class 1), intermediate (Class 2), and high (Class 3). Compared to Class 1, Class 3 showed lower self-efficacy for sleep and for COPD management and more dysfunctional beliefs and attitudes about sleep. Class 3 showed more dysfunctional beliefs and attitudes about sleep than Class 2. Class 1 showed significantly better physical function than Classes 2 and 3. CONCLUSIONS: Self-efficacy for sleep and for COPD management and dysfunctional beliefs and attitudes about sleep were associated with class membership. As physical function differed among subgroups, interventions to improve self-efficacy for sleep and for COPD management and minimize dysfunctional beliefs and attitudes about sleep may reduce symptom cluster severity, in turn enhancing physical function.

Cognitive Function and Self-Management Behaviors in Older Adults With Type 2 Diabetes.

BACKGROUND: Type 2 diabetes (T2D) is strongly associated with cognitive impairment. Decreased cognitive function could affect daily self-management behaviors critical for people with T2D. Executive function is significant for daily self-management, and decreased subjective cognitive function could be an early indicator of poor daily self-management. However, little is known about whether executive or subjective cognitive function affects daily self-management behaviors in older adults. OBJECTIVES: We investigated the effect of executive function or subjective cognitive function on daily self-management behaviors (diet, glucose management, physical activity, and physician contact) in older adults with T2D. METHODS: We used a cross-sectional, observational design with convenience sampling of 84 adults aged ≥60 years with T2D. Telephone-administered cognitive function tests measured participants' overall cognitive and executive function levels. Subjective cognitive function, diabetes self-management, and covariates, including demographic information (age, gender, race/ethnicity, and level of education), body mass index, depressive symptoms, and diabetes duration, were assessed using online surveys. Data were analyzed using bivariate correlation and backward stepwise regression. RESULTS: The mean age of the sample was 68.46 ± 5.41 years. Participants were predominantly female and White, and the majority had normal cognitive function. Controlling for demographics, body mass index, depressive symptoms, and diabetes duration, a decrease in executive function indicated by a greater number of errors made during the telephone-administered Oral Trail Making Test Part B relative to the sample was associated with poorer adherence to physician contact behaviors. Subjective cognitive function was not associated with any self-management behaviors. DISCUSSION: A reduction in executive function was associated with poorer adherence to physician contact behaviors in older adults with T2D and normal cognitive function; lack of adherence to physician contact behaviors could be an early indicator of declining cognitive function. Difficulties or changes in routine diabetes self-management behaviors should be closely monitored in older adults. Cognitive assessment should be followed when needed.

"Something Tells Me I Can't Do That No More": Experiences With Real-Time Glucose and Activity Monitoring Among Underserved Black Women With Type 2 Diabetes.

PURPOSE: The purpose of the study was to explore self-regulation skills with real-time activity and glucose monitoring among Black women with type 2 diabetes (T2DM). METHODS: A small acceptability trial was conducted using technology (continuous glucose monitors and Fitbit) to facilitate core behaviors associated with self-regulation (self-monitoring/assessment, learning, mental contrasting [comparing current values with goal values], and goal setting/review). Participants were given continuous glucose monitors and Fitbit activity trackers for self-monitoring of blood glucose and activity. Two sessions of group diabetes education were also offered. Following the intervention, semistructured interviews and subsequent content analyses were conducted to explore how the women's experiences reflected certain self-regulation behaviors. RESULTS: Eight underserved Black women with non-insulin-requiring T2DM were included (age = 68 ± 5.2 years; A1C = 6.6% ± 1.1%; 15.3 ± 7.2 years since diagnosis). Content analysis revealed themes that were consistent with core self-regulation behaviors: experiential learning through self-monitoring, mental contrasting, and impact on behavior (actual behavior change and motivation to change behavior). CONCLUSIONS: With use of real-time glucose and activity monitoring, underserved Black women with T2DM described how they used the data from the devices to make choices about eating and activity behaviors.

Impact of worries associated with COVID-19 on diabetes-related psychological symptoms in older adults with Type 2 diabetes.

This study examined the associations between worries associated with COVID-19, diabetes-specific distress, and depressive symptoms in older adults with type 2 diabetes (T2D), who are particularly vulnerable to COVID-19 and its psychological impacts. A cross-sectional online survey was conducted with 84 older adults with T2D from June to December 2020. Participants had little to moderate worries associated with COVID-19, with the greatest worries about the economy recession, followed by a family member catching COVID-19, lifestyle disruptions, and overwhelmed local hospitals. Bivariate correlation and tobit regression revealed that increases in worries associated with COVID-19 were associated with increased diabetes distress and depressive symptoms. Specifically, worries associated with COVID-19 increased diabetes-specific emotional burden and physician-related and regimen-related distress. Increased diabetes distress and depressive symptoms worsened by COVID-19 may ultimately lead to poor glucose control. Additional assessment by mental health experts should be considered for older adults with T2D during and after infectious disease pandemic.

Fluctuations in Self-Reported Symptoms Predict Objective Physical Activity in Adults With Type 2 Diabetes.

PURPOSE: The purpose of this study was to examine the association between self-reported symptoms including fatigue and sleep disturbance with moderate-intensity physical activity among adults with type 2 diabetes. METHODS: This report was a secondary analysis of a cross-sectional study. Data from 53 participants with at least 6 days of repeated measures were used. Daytime physical activity and energy expenditure were assessed using a wrist-worn accelerometer at the free-living setting. Fatigue upon awakening was measured using a 0 to 10 scale. Sleep (eg, restorative sleep, sleep duration, and sleep efficiency) was measured using the Consensus Sleep Diary for Morning. Data were analyzed using linear mixed models by including within- and between-person effects. RESULTS: Participants were predominantly females (54.7%) with a mean age of 60.3 years. Controlling for the covariates, at the individual level (within-person), fluctuations in restorative sleep and fatigue upon awakening predicted moderate-intensity PA. Similarly, at the individual level, fluctuations in restorative sleep and fatigue upon awakening predicted average hourly energy expenditure. However, at the group level (between-person), no significant associations were found between fatigue and restorative sleep with moderate-intensity physical activity. CONCLUSIONS: The study findings suggest that within-person fluctuations in fatigue and restorative sleep upon awakening predict daytime moderate-intensity physical activity. At the individual level, reducing fluctuations in fatigue and restorative sleep might encourage participation in physical activity. More research is warranted to uncover the underlying causes of fluctuations in fatigue and restorative sleep. Meanwhile, diabetes care and education specialists should pay attention to the within-person fluctuations of fatigue and sleep.

Relationships Between Cognitive Impairment and Self-Management in Older Adults With Type 2 Diabetes: An Integrative Review.

Cognitive impairment is common in older adults with diabetes and is likely to negatively affect their daily diabetes self-management behaviors (DSMB). The primary aim of this integrative review was to summarize and synthesize the current state of knowledge about relationships between cognitive impairment and DSMB in older adults with type 2 diabetes. The review was guided by Whittemore and Knafl's 2005 framework, and study quality was evaluated using the Crowe Critical Appraisal Tool. Of 27 studies reviewed, 24 were quantitative, and three were qualitative. Heterogeneity was noted in study design, participant characteristics, and measures of cognitive function and DSMB. Overall, global cognitive impairment and executive function impairment related particularly to poor medication management and glucose self-monitoring. The findings supported the need for routine cognitive assessment of older adults with diabetes, but more longitudinal and interventional studies are needed to better define cognitive impairment-DSMB relationships. [Research in Gerontological Nursing, 14(2), 104-112.].

Subjective cognitive decline in diabetes: Associations with psychological, sleep, and diabetes-related factors.

AIMS: To determine whether psychological, sleep, and diabetes-related factors were associated with subjective cognitive decline (SCD) in adults with type 2 diabetes (T2D). DESIGN: A secondary analysis with a cross-sectional, correlational design. METHODS: Data from two parent studies were combined. A total of 105 adults with diabetes were recruited from a Midwestern city in the United States from September 2013-March 2014 and September 2016-September 2017. Subjective cognitive decline was measured with the psychological-cognitive symptom subscale of the Diabetes Symptom Checklist-Revised. Psychological factors (diabetes distress, fatigue, and depressive symptoms) and sleep were measured using the Diabetes Distress Scale and Patient-Reported Outcomes Measurement Information System. Diabetes-related factors were measured with body mass index and glycaemia control. Quantile regression was used to examine the associations. RESULTS/FINDINGS: The mean age of the participants was 58.10 (SD 7.92) years and 58.1% were women. The participants' mean psychological-cognitive symptom score was 1.41 (SD 1.13). After controlling for age and gender, sleep disturbance, sleep-related impairment, and body mass index were associated with SCD in lower cognitive symptom quantile groups (5th to 30th percentiles). In contrast, fatigue and depressive symptoms were more strongly associated with SCD in higher quantile groups (70th to 95th percentiles). CONCLUSION: In adults with T2D, SCD was differentially associated with psychological, sleep, and diabetes-related factors depending on cognitive symptom percentiles. Adults with T2D require regular screening for SCD. If they complain of cognitive symptoms at clinical visits, different underlying factors should be assessed according to their symptom severity. IMPACT: Findings from this study provided evidence for early identification of SCD and its influencing factors, which may help to develop nursing interventions to recognize and/or delay the onset of cognitive impairment in adults with T2D.

Rhythmic auditory stimulation increases 6-Minute walk distance in individuals with COPD: A repeated measures study.

OBJECTIVE: To evaluate if there is an increase in 6-minute walk distance in individuals with chronic obstructive pulmonary disease (COPD) while walking to rhythmically enhanced music. BACKGROUND: Individuals with COPD are less active. Walking with rhythmically enhanced music may help Participant's walk farther while simultaneously distracting from symptoms of dyspnea. METHODS: Twenty-five men (age = 70.7 ± 4.5 yr), with moderate-to-severe COPD (FEV1 = 47.4 ± 9.7% predicted) completed three, 6 min walk tests (6MWT) in random order. Walks were completed with music, with music that was rhythmically enhanced, or without music. Walking distance and perceived dyspnea were measured. RESULTS: Participant's walked 12 m, 95% CI [20.5-, 2.6], p = 0.015 further during the 6MWT when listening to rhythmically enhanced music when compared to no music. Onset of dyspnea was not different between the three walking conditions. CONCLUSIONS: Rhythmically-enhanced music may be a useful tool to increase walking distance in Participant's with COPD.

Real-Time Associations Between Glucose Levels and Fatigue in Type 2 Diabetes: Sex and Time Effects.

OBJECTIVE: Fatigue is a pervasive and serious complaint among aging adults with type 2 diabetes. Anecdotally, hyperglycemia was thought to cause fatigue, but prior cross-sectional analyses failed to find any relationship between glucose levels and fatigue. However, study methodology may have caused this relationship to be missed. Our aim was to use concurrent and continuous data across 5 days to examine real-time momentary relationships between glucose and fatigue levels by week, day, and time of day. Additionally, we explored how these relationships differed by sex. METHOD: Participants (N = 54, 51% male, 54% non-White) wore continuous glucose monitors and wrist actigraphy into which they inputted fatigue ratings 6-8 times daily during waking hours across 5 days. Generalized estimation equation models were used to explore the relationship between glucose and fatigue when averaged by week, day, and time of day. Differences by sex were also explored. RESULTS: HbA1c and baseline and real-time fatigue were higher in women than in men. Baseline HbA1c and self-reported general fatigue were unrelated. Fatigue levels averaged by day and time of day were higher in women than in men (p < .05). Glucose and fatigue were significantly related at all levels of data (weekly, daily, and time of day) in women but not men. CONCLUSIONS: Our findings suggest that, when measured concurrently, glucose excursions may affect fatigue levels in women.

Intra-individual variability in sleep is related to glycaemic control in adults with type 2 diabetes.

AIMS: To examine whether there were significant differences in sleep during weekdays/weekends and whether the intra-individual variability in sleep was related to glycaemic control in patients with type 2 diabetes. DESIGN: Correlational, longitudinal design. METHODS: Data were collected between February 2017-January 2018. In all, 56 adults with type 2 diabetes were included (60.7 years, 55.4% female). Sleep was measured using the Consensus Sleep Diary over 8 days. Intra-individual variability of sleep was calculated as the standard deviation of sleep variables. Standard deviations of sleep duration, sleep efficiency, sleep quality, and mid-sleep time were obtained. Glycaemic control was measured by haemoglobin A1C. Paired t test and multiple regression analysis were used. RESULTS: Overall, there were no differences in sleep parameters between weekdays and weekends. Participants slept 20 min more over the weekends than during weekdays. The mid-sleep time during weekends was about 35 min later than during weekdays. Intra-individual variability of sleep duration and mid-sleep ranged from 27.6-167.4 min and 13-137 min, respectively. Controlling for covariates (e.g., distress, symptoms, and self-care), larger variability in sleep duration, and mid-sleep were significantly related to higher A1C levels. CONCLUSION: Diabetes educators are recommended to include the assessment of intra-individual variability in sleep. Maintaining a regular sleep habit (e.g., sleep duration and sleep timing) should be highlighted during patient education. IMPACT: Intra-individual variability in sleep is an alternative dimension for sleep assessment. This study examined whether intra-individual variability in sleep was related to glycaemic control in an older sample of type 2 diabetes patients using a sleep diary across 8 days. This sample had a similar sleep pattern during weekdays and weekends. Larger intra-individual variabilities in sleep duration and mid-sleep time were independently related to worse glycaemic control. Diabetes patients are recommended to maintain a regular sleep routine.

Heart Rate Variability and Cardiorespiratory Fitness in Non-Hispanic Black Versus Non-Hispanic White Adolescents With Type 1 Diabetes.

BACKGROUND: Evidence indicates that fewer non-Hispanic black versus non-Hispanic white youths with type 1 diabetes are meeting treatment goals for optimal glycemic outcomes, predisposing them to risks for cardiovascular (CV) morbidity and mortality in adulthood. PURPOSE: We sought to assess the association of sex and race with heart rate variability (HRV) and cardiorespiratory fitness in adolescents with type 1 diabetes. The association between the HRV and cardiorespiratory outcomes with glucose control was also examined. METHODS: A secondary data analysis of 95 adolescents with type 1 diabetes (n = 66 non-Hispanic white n = 29 non-Hispanic black) was used. Using 24-hour Holter recordings, spectral and time domain measures of HRV were obtained. Cardiorespiratory fitness using a graded exercise test was completed. Descriptive statistics and Pearson correlation coefficients were used to assess associations between glucose control and study outcomes, and general linear models were applied to explore and quantify associations of sex and race with HRV and cardiorespiratory fitness. RESULTS: Body mass index (mean [standard deviation]) was similar between non-Hispanic black (23.5 [3.9]) and non-Hispanic white (22.7 [3.8]) adolescents. Females and non-Hispanic black adolescents had significantly lower HRV and cardiorespiratory fitness levels. Moderate associations were found between lower HRV and poorer glycemic control (HbA1c). Recent HbA1c was significantly higher in non-Hispanic black (9.7 [1.8]) than non-Hispanic white (8.2 [1.2]). CONCLUSION: Findings support the importance of early identification of CV health risks in adolescents with type 1 diabetes, particularly for non-Hispanic black adolescents. Interventions focused on overall improvement in glycemic control for adolescents with type 1 diabetes are a priority for minimizing future CV complications.

Active Learning: Lessons From Women With Type 2 Diabetes in a Walking Program.

PURPOSE: The purpose of this study was to explore the experiences and preferences of sedentary women with type 2 diabetes who had recently completed a pilot 12-week supervised treadmill walking study. METHODS: A qualitative design was used. Content analysis was used to assess major themes and subthemes embedded within participants' responses to open-ended questions about their experiences of participating in a walking program. Women were recruited from a database of patients willing to be contacted for research studies. RESULTS: Seven inner-city women with type 2 diabetes (71% African American, age 62 ± 4.2 years, A1C 6.8% ± 1.3, years since diagnosis 6.6 ± 3.4 years) completed the postprogram interview. Only 3 of the 7 women had ever received any diabetes education. Four major themes emerged: (1) supportive environment, (2) personal commitment: overcoming ambivalence, (3) learning, and (4) outcomes, and 8 subthemes emerged. A supportive environment (encouraging, person centered, social, and structured) in combination with actively learning about diabetes and self-monitoring the effects of exercise seemed to be associated with personal commitment and confidence in participating in a walking program. CONCLUSIONS: Active/experiential learning in a supportive environment may enhance both personal diabetes knowledge and behaviors among women with little diabetes education and low activity levels.

Associations between fatigue, sleep disturbance and eating style in adults with type 2 diabetes: A correlational study.

AIMS AND OBJECTIVES: To test the hypothesis that fatigue and sleep disturbance account for a significant amount of variation in eating styles among people with type 2 diabetes (T2D). BACKGROUND: Healthy eating is an important component of diabetes self-care but remains a major challenge. In people with T2D, symptoms of fatigue and sleep disturbance are pervasive. However, there is limited understanding of whether fatigue and sleep disturbance are associated with eating style in people with T2D. DESIGN: Correlational design. METHODS: This study was reported following the STROBE checklist. Data were collected between February 2017 and January 2018. A convenience sample of 64 T2D adults completed the Three-Factor Eating Questionnaire-R18V2 to measure eating style (e.g., emotional eating, cognitive restraint and uncontrolled eating). Diabetes distress, fatigue and sleep disturbance were measured using validated questionnaires. Hierarchical regression analyses were performed. RESULTS: Only age was a significant predictor (ß = -0.344) of cognitive restraint. Participant demographics, psychological factor and health-related factors contribute significantly to the model predicting emotional eating, but only diabetes distress was a significant predictor (ß = 0.433). Introducing fatigue and poor sleep quality explained an additional 12.0% of the variation in emotional eating. The final model explained 24.9% of the variation in emotional eating; both diabetes distress (ß = 0.294) and fatigue (ß = 0.360) were significant predictors. CONCLUSION: There is a strong, independent relationship of fatigue and diabetes distress with emotional eating T2D patients. The effect of improving fatigue and diabetes distress on eating style should be explored. RELEVANCE TO CLINICAL PRACTICE: In clinical practice, nurses are recommended to include a detailed assessment of fatigue and distress in patients with diabetes. Additional to the conventional nutrition therapy focusing on diet advice, eating style should also be incorporated in diet education by diabetes nurses.

Challenges Imposed By Hypoglycemia in Adults With Type 1 Diabetes.

Little is known regarding how hypoglycemia and associated fears influence day-to-day life among adults with type 1 diabetes (T1DM) who use contemporary diabetes management strategies. To address this gap, we performed an exploratory qualitative study with five focus groups of 30 people aged 20 to 57 years with T1DM. Sessions were audiotaped and transcribed, and then analyzed. Eight themes emerged: (a) hypoglycemic worry, (b) unpredictability and loss of control, (c) contending with life stress, (d) exercise benefits and challenges, (e) a changed relationship with food, (f) sleep fears, (g) a love/hate relationship with technology, and (h) coping strategies to make it better. Fear of hypoglycemia, diabetes management, and work demands confer a high degree of stress. Challenges surround food, exercise, and sleep. Technology is important but does not relieve fear of hypoglycemia. Developing strong coping skills and creating a safety net of support are necessary.

Relationship between sleep disturbance and self-care in adults with type 2 diabetes.

AIMS: Type 2 diabetes (T2D) is a metabolic disorder requiring intensive self-care to maintain optimal glycemic control. Sleep disturbance is common in T2D patients and likely impairs glycemic control. Our aim was to examine the relationship between sleep disturbance and self-care in adults with T2D. METHODS: This study used a correlational design. Sixty-four adults with T2D were recruited. Validated instruments were used to measure self-care, subjective sleep disturbance, and covariates (e.g., diabetes distress, self-efficacy, fatigue, and daytime sleepiness). Over an 8-day period, the ActiGraph-wGT3X was used to measure objective sleep outcomes (e.g., total sleep time and number of awakenings). Bivariate correlation and multiple linear regression analyses were conducted. RESULTS: The mean age of the participants was 60.6 (SD 6.8) years (range 50-78), and 51.6% were women. Controlling for covariates, subjective sleep disturbance (ß = - 0.26), diabetes distress (ß = - 0.39), and daytime sleepiness (ß = - 0.21) were strong predictors of diabetes self-care (R2 = 0.51, p < 0.001). When objective sleep parameters were used, the number of awakenings (ß = - 0.23) also predicted self-care along with diabetes distress, fatigue, and daytime sleepiness (R2 = 0.57, p < 0.001). CONCLUSIONS: Subjective sleep disturbance and frequent nocturnal awakenings are associated with worse diabetes self-care in adults with T2D. Healthcare providers are recommended to include comprehensive sleep assessment at every clinical visit. Diabetes educators may consider including sleep-related education in their diabetes self-management classes and/or counseling sessions.