scholarly journals Prevalence of Sleep Disturbance and correlates in Chinese Older Adults with type 2 diabetes

2021 ◽  
Author(s):  
Yu-Xing Gong ◽  
Cai-Lan Hou ◽  
Shi-Bin Wang ◽  
Fei Wang ◽  
Zhuo-Hui Huang ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Older Adults ◽  
Sleep Disturbance ◽  
Sleep Disturbances ◽  
Demographic Data ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Chinese Older Adults ◽  
Significant Difference

Abstract Objective To examine the prevalence of sleep disturbances, the socio-demographic and clinical correlates in Chinese older adults with type 2 diabetes (T2DM). Methods A cross-sectional survey of 195 patients with T2DM was conducted using standardized instruments. Results The prevalence of any type of sleep disturbances was 38.5%, the incidence of DIS, DMS, and EMA were 23.6%, 25.6% and 26.2%, respectively. No statistically significant difference was observed in socio-demographic data between participants with and without sleep disturbances except age. Sleep disturbances were associated with more severe depressive symptoms and lower quality of life (QOL). Only 32% of patients suffering sleep disturbance received treatment. Conclusions Sleep disturbance is common in Chinese older patients with T2DM, but the rate of treatment appears low. More aggressive measures should be implemented to improve the assessment and treatment of sleep disturbances in patients with T2DM.

scholarly journals Relationship between subjective sleep disturbances and glycaemia in Chinese adults with type 2 diabetes: findings from a 1.5-year follow-up study

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Chunrong Xu ◽  
Pan Zhang ◽  
Quanyong Xiang ◽  
Guiqiu Chang ◽  
Ming Zhang ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Linear Regression ◽  
Sleep Disturbance ◽  
Multiple Linear Regression ◽  
Sleep Disturbances ◽  
Cross Sectional ◽  
Subjective Sleep ◽  
The Relationship

Abstract We wanted to determine whether subjective sleep disturbance was associated with serum glycated hemoglobin (HbA1c) in people with type 2 diabetes mellitus. In total, 944 randomly-selected people with diabetes completed the Chinese version of the Pittsburgh Sleep Quality Index (PSQI). Participants’ glycaemia was assessed using HbA1c in March 2016 and September 2017. The PSQI score and the change in score(△PSQI), and the HbA1c and its change (△HbAlc) were analysed by sex and age (30–45, 46–60, 61–75, and 76–89 years). Associations between time point PSQI and △PSQI with static HbA1c and △HbA1c were analysed using multiple linear regression. The results showed subjective sleep disturbance among people with diabetes was not correlated with serum HbAlc (β coefficient = 0.032, P = 0.103). However, cross-sectional multiple linear regression showed the relationship was present in women (β coefficient = 0.163, P < 0.01). In multiple linear regression, △PSQI score was correlated with △HbAlc value (β coefficient = 0.142, P < 0.01). The regression coefficient (β) for the relationship between △PSQI score and △HbA1c in men was greater than that in women, and for age was β61–75years < β46–60years < β30–45years. The strongest relationship between △PSQI and △HbA1c was in men aged 30–45 years (β = 0.452, P < 0.01). Subjective sleep disturbance among people with diabetes was not related to glycaemic status in the whole sample, but there was a correlation in women. The change in subjective sleep disturbance correlated with the change in glycaemia, most strongly in younger participants, especially men aged 30–45 years.

scholarly journals The Performance of the Finnish Diabetes Risk Score (FINDRISC) in Detecting Undiagnosed Type 2 Diabetes among Kenyan adults aged 18–69 years

2021 ◽  
Author(s):  
Innocent Bambeiha Mugume ◽  
Solomon T Wafula ◽  
Damazo T Kadengye ◽  
Josefien Van Olmen
Keyword(s):  
Type 2 Diabetes ◽  
Risk Score ◽  
Secondary Analysis ◽  
Secondary Data ◽  
Undiagnosed Diabetes ◽  
Operating Characteristics ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Significant Difference

Abstract Background: Diabetes mellitus is growing to epidemic proportions especially in LMICs. The disease is often undiagnosed until clinical manifestation of related complications. Africa, has the highest proportion of undiagnosed diabetes and in Kenya, is estimated at 53%. Studies have however demonstrated that early diagnosis & prevention delays its onset and related complications. Diagnosing & screening diabetes in Kenya, is however costly and not readily available. The alternative use of diabetes screening risk score tools advocated such as FINDRISC have not been validated for use in Kenya. We therefore aimed to measure the performance of the FINDRISC as a screening tool for undiagnosed type 2 diabetes among Kenya adults. Methods: A secondary analysis of a Kenya STEPwise cross-sectional survey conducted between April and June 2015 was carried out. The modified FINDRISC and simplified FINDRISC versions were created based on available secondary data and regression analyses performed. Non-parametric analyses of the areas under the receiver operating characteristics curve (AUC), and statistics of the modified FINDRISC and simplified FINDRISC diagnostic tests were analyzed. Results: A total of 4,027 data observations of individuals aged 18−69 years were analyzed. The prevalence of undiagnosed diabetes and prediabetes were estimated at 1.8% and 2.6% respectively. The AUC of the modified FINDRISC and simplified FINDRISC in detecting undiagnosed diabetes were 0.7481 and 0.7486 respectively, with no statistically significant difference (p=0.9118). With an optimal cut-off ≥ 7, the simplified FINDRISC had a higher PPV (7.9%) and diagnostic odds (OR:6.65, CI: 4.43 – 9.96) of detecting undiagnosed T2D than the modified FINDRISC. Conclusion: The simple and non-invasive modified FINDRISC and simplified FINDRISC tools performed well in detecting undiagnosed diabetes and may be useful in the Kenyan population and other similar population settings. Considering the context of the Kenyan population settings, the simplified FINDRISC is preferred.

scholarly journals Predictors of frailty among Chinese community-dwelling older adults with type 2 diabetes: a cross-sectional survey

BMJ Open ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. e041578
Author(s):  
Linglin Kong ◽  
Huimin Zhao ◽  
Junyao Fan ◽  
Quan Wang ◽  
Jie Li ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Older Adults ◽  
Depressive Symptoms ◽  
Community Health ◽  
Community Dwelling ◽  
Central China ◽  
Chinese Community ◽  
Cross Sectional ◽  
Community Dwelling Older Adults

ObjectivesTo assess the prevalence of frailty and identify predictors of frailty among Chinese community-dwelling older adults with type 2 diabetes.DesignA cross-sectional design.SettingTwo community health centres in central China.Participants291 community-dwelling older adults aged ≥65 years with type 2 diabetes.Main outcome measuresData were collected via face-to-face interviews, anthropometric measurements, laboratory tests and community health files. The main outcome measure was frailty, as assessed by the frailty phenotype criteria. The multivariate logistic regression model was used to identify the predictors of frailty.ResultsThe prevalence of prefrailty and frailty were 51.5% and 19.2%, respectively. The significant predictors of frailty included alcohol drinking (ex-drinker) (OR 4.461, 95% CI 1.079 to 18.438), glycated haemoglobin (OR 1.434, 95% CI 1.045 to 1.968), nutritional status (malnutrition risk/malnutrition) (OR 8.062, 95% CI 2.470 to 26.317), depressive symptoms (OR 1.438, 95% CI 1.166 to 1.773) and exercise behaviour (OR 0.796, 95% CI 0.716 to 0.884).ConclusionsA high prevalence of frailty was found among older adults with type 2 diabetes in the Chinese community. Frailty identification and multifaceted interventions should be developed for this population, taking into consideration proper glycaemic control, nutritional instruction, depressive symptoms improvement and enhancement of self-care behaviours.

scholarly journals Breastfeeding support and barriers to women with gestational diabetes mellitus: a nationwide cross-sectional survey of hospitals in Japan

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Mayumi Matsunaga ◽  
Yaeko Kataoka ◽  
Yumiko Igarashi ◽  
Toshiko Fukui ◽  
Masumi Imura ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
General Information ◽  
Breastfeeding Support ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Organizational Barriers

Abstract Background Despite the benefits of breastfeeding for women with Gestational Diabetes Mellitus (GDM) and their infants, breastfeeding is less likely to be performed by this group. This study aimed to examine the current levels of implementation of breastfeeding support to women with GDM in Japan and to clarify barriers to promoting breastfeeding among this population. Methods A 25-item questionnaire was developed by the authors to investigate the current levels of implementation of breastfeeding support for women with GDM provided in hospitals, and to explore barriers for promoting breastfeeding among these women. The questionnaire was sent to all 1046 hospitals facilitating childbirth in Japan. Descriptive statistics were used to analyze the quantitative data, and content analysis was used to analyze qualitative data from the open-ended questions. Results All 296 respondents were included in this study. Regarding breastfeeding support, 95.2% of the respondents provided general information on breastfeeding to GDM women during antenatal midwife consultations. However, the benefits of breastfeeding for preventing type 2 diabetes were addressed by only 48.0%. Likewise, although follow-up services (e.g., telephone support or breastfeeding consultations) were conducted in 88.9% of hospitals, only 50.7% of hospitals informed women that breastfeeding decreases the risk of developing type 2 diabetes after GDM. Regarding barriers, seven categories and 20 subcategories about promoting breastfeeding for women with GDM were extracted and abstracted into the following three themes: Barriers associated with mother and infant, Barriers associated with health professionals, and Organizational barriers. Conclusions In Japan, most hospitals that responded provided general breastfeeding support from the antenatal to postpartum periods. However, the benefits of breastfeeding in terms of preventing the incidence of type 2 diabetes following GDM were insufficiently communicated to women with GDM. Furthermore, there were numerous barriers to promoting breastfeeding among women with GDM.

scholarly journals The Frequency of Malnutrition in Patients with Type 2 Diabetes

2021 ◽  
Author(s):  
Miraç Vural Keskinler ◽  
Güneş Feyizoğlu ◽  
Kübra Yıldız ◽  
Aytekin Oğuz
Keyword(s):  
Type 2 Diabetes ◽  
Outpatient Clinic ◽  
High Body Mass Index ◽  
Cross Sectional Study ◽  
University Hospital ◽  
Nutritional Risk ◽  
Cross Sectional ◽  
Significant Difference ◽  
Nrs 2002

Objective: Obesity is one of the most common comorbidities of diabetes mellitus (DM) whose frequency is rapidly increasing nowadays. Although obesity caused by excessive and unbalanced nutrition often accompanies diabetes; malnutrition is another complication of diabetes. This study was conducted to investigate the frequency of malnutrition in individuals with diabetes. Method: This study is a cross-sectional study. The patients with type 2 diabetes followed up in the diabetes outpatient clinic of a university hospital between February and March 2018 were included in the study. Anthropometric measurements of the patients and “Nutritional Risk Screening-2002” (NRS-2002) scores were recorded. Results: A total of 222 (F: 132 59.4%) patients were included in the study. When two groups with higher NRS (≥3) and lower NRS (<3) scores less than 3 were compared, any significant difference was not detected between two groups in terms of age, waist circumference and HbA1c values. Only BMI was found to be lower in the group with malnutrition risk (p: 0.030). When the patients were evaluated in terms of diabetes treatments and risk of malnutrition, any significant intergroup difference was not found (p: 0.847). Conclusion: It was found that there is a risk of malnutrition in one of every seven diabetics with a high body mass index who were being followed up in the diabetes outpatient clinic.

scholarly journals Use of the Consumer-Based Meditation App Calm for Sleep Disturbances: Cross-Sectional Survey Study (Preprint)

2020 ◽  
Author(s):  
Jennifer Huberty ◽  
Megan E Puzia ◽  
Linda Larkey ◽  
Michael R Irwin ◽  
Ana-Maria Vranceanu
Keyword(s):  
Sleep Disturbance ◽  
Sleep Disturbances ◽  
Mobile Apps ◽  
Survey Study ◽  
Cross Sectional Survey ◽  
Chi Square ◽  
Cross Sectional ◽  
Common Time ◽  
Usage Patterns ◽  
Waking Up

BACKGROUND Over 30% of Americans report regular sleep disturbance, and consumers are increasingly seeking strategies to improve sleep. Self-guided mindfulness mobile apps may help individuals improve their sleep. Despite the recent proliferation of sleep content within commercially available mindfulness apps, there is little research on how consumers are using these apps for sleep. OBJECTIVE We conducted a cross-sectional survey among subscribers to Calm, a popular, consumer-based, mindfulness-based meditation app, and described and compared how good sleepers, poor sleepers, and those with self-reported insomnia use the app for sleep. METHODS Participants who were paying subscribers of Calm and had used a sleep component of Calm in the last 90 days were invited to complete an investigator-developed survey that included questions about sleep disturbance and the use of Calm for sleep. Based on self-reports of sleep disturbances and of insomnia diagnosis, participants were categorized as “good sleepers,” “poor sleepers,” or “those with insomnia diagnosis.” Chi-square tests compared reasons for downloading the app and usage patterns across participants with and without sleep disturbance. RESULTS There was a total of 9868 survey respondents. Approximately 10% of participants (1008/9868, 10.21%) were good sleepers, 78% were poor sleepers (7565/9868, 77.66%), and 11% reported a diagnosis of insomnia (1039/9868, 10.53%). The sample was mostly White (8185/9797, 83.55%), non-Hispanic (8929/9423, 94.76%), and female (8166/9578, 85.26%). The most common reasons for sleep disturbances were racing thoughts (7084/8604, 82.33%), followed by stress or anxiety (6307/8604, 73.30%). Poor sleepers and those with insomnia were more likely than good sleepers to have downloaded Calm to improve sleep (χ<sup>2</sup><sub>2</sub>=1548.8, <i>P</i>&lt;.001), reduce depression or anxiety (χ<sup>2</sup><sub>2</sub>=15.5, <i>P</i>&lt;.001), or improve overall health (χ<sup>2</sup><sub>2</sub>=57.6, <i>P</i>&lt;.001). Respondents with insomnia used Calm most often (mean 5.417 days/week, SD 1.936), followed by poor sleepers (mean 5.043 days/week, SD 2.027; <i>F</i><sub>2</sub>=21.544, <i>P</i>&lt;.001). The most common time to use Calm was while lying down to sleep (7607/9686, 78.54%), and bedtime use was more common among poor sleepers and those with insomnia (χ<sup>2</sup><sub>2</sub>=382.7, <i>P</i>&lt;.001). Compared to good and poor sleepers, those with insomnia were more likely to use Calm after waking up at night (χ<sup>2</sup><sub>2</sub>=410.3, <i>P</i>&lt;.001). Most participants tried to use Calm on a regular basis (5031/8597, 58.52%), but regular nighttime use was most common among those with insomnia (646/977, 66.1%), followed by poor sleepers (4040/6930, 58.30%; χ<sup>2</sup><sub>2</sub>=109.3, <i>P</i>&lt;.001). CONCLUSIONS Of the paying subscribers to Calm who have used one of the sleep components, approximately 90% have sleep difficulties, and 77% started using Calm primarily for sleep. These descriptive data point to areas of focus for continued refinement of app features and content, followed by prospective trials testing efficacy of consumer-based meditation mobile apps for improving sleep.

Sign in / Sign up

Export Citation Format

Share Document