Effects of Sleep-Extend on glucose metabolism in women with a history of gestational diabetes: a pilot randomized trial

Insomnia, Short Sleep, and Their Treatments: Review of Their Associations with Weight

PURPOSE OF REVIEW

Insomnia and short sleep have been linked with weight gain and obesity. However, these findings have not been consistent across studies. We review recent evidence for the association between insomnia, short sleep, and weight gain, as well as the relationship between behavioral and pharmacological treatments for sleep and weight.

RECENT FINDINGS

The relationship between insomnia and obesity is mixed, with stronger associations between insomnia with short sleep and obesity than other presentations of insomnia. Short sleep is associated with weight gain. Z-drugs and benzodiazapines do not appear to impact weight, but many antidepressants and antipsychotics that are used for insomnia treatment do cause weight gain. The relationships between insomnia and short sleep with weight gain and obesity are inconsistent. More prospective trials are needed to identify mediators and moderators of this relationship to better develop and deliver effective interventions for both sleep and weight problems.

Sleep extension and cardiometabolic health: what it is, possible mechanisms and real-world applications

Short sleep duration is associated with heightened cardiometabolic disease risk and has reached epidemic proportions among children, adolescents and adults. Potential mechanisms underlying this association are complex and multifaceted, including disturbances in circadian timing, food intake and appetitive hormones, brain regions linked to control of hedonic eating, physical activity, an altered microbiome and impaired insulin sensitivity. Sleep extension, or increasing total sleep duration, is an emerging and ecologically relevant intervention with significant potential to advance our understanding of the mechanisms underlying the association between short sleep duration and the risk of cardiometabolic disease. If effective, sleep extension interventions have potential to improve cardiometabolic health across the lifespan. Existing data show that sleep extension is feasible and might have potential cardiometabolic health benefits, although there are limitations that the field must overcome. Notably, most existing studies are short term (2-8 weeks), use different sleep extension strategies, analyse a wide array of cardiometabolic health outcomes in different populations and, frequently, lack adequate statistical power, thus limiting robust scientific conclusions. Overcoming these limitations will require fully powered, randomized studies conducted in people with habitual short sleep duration and existing cardiometabolic risk factors. Additionally, randomized controlled trials comparing different sleep extension strategies are essential to determine the most effective interventions. Ongoing and future research should focus on elucidating the potential cardiometabolic health benefits of sleep extension. Such studies have high potential to generate crucial knowledge with potential to improve health and quality of life for those struggling with short sleep duration.

Sleep disorders during pregnancy: an underestimated risk factor for gestational diabetes mellitus

Sleep disorders are highly prevalent during pregnancy and significantly affect women's health and quality of life. Gestational diabetes mellitus (GDM) is one of the most common metabolic complications during pregnancy and constitutes a significant risk factor for both mother and fetus in the short and the long term. While the association between sleep disorders and type 2 diabetes mellitus (T2DM) is indisputable, it is not clear whether there is a link between sleep disorders and GDM. The aim of this article was to investigate the association between sleep disorders and GDM and whether the treatment of sleep disorders may prevent GDM development. Insomnia, obstructive sleep apnea (OSA), restless legs syndrome (RLS), and narcolepsy were the most common sleep disorders identified during pregnancy and were related to poor sleep quality and short or prolonged sleep duration. They were all associated with an increased risk of GDM. The ideal sleep duration for pregnant women was determined at 8-9 h daily. In conclusion, sleep disorders constitute a risk factor for GDM. It is imperative that prospective studies be conducted to evaluate the effect of the early management of sleep disorders on GDM manifestation and control. Healthcare providers should highlight the importance of sufficient sleep to reinforce pregnancy outcomes.

Stress and human health in diabetes: A report from the 19th Chicago Biomedical Consortium symposium

Stress and diabetes coexist in a vicious cycle. Different types of stress lead to diabetes, while diabetes itself is a major life stressor. This was the focus of the Chicago Biomedical Consortium's 19th annual symposium, "Stress and Human Health: Diabetes," in November 2022. There, researchers primarily from the Chicago area met to explore how different sources of stress - from the cells to the community - impact diabetes outcomes. Presenters discussed the consequences of stress arising from mutant proteins, obesity, sleep disturbances, environmental pollutants, COVID-19, and racial and socioeconomic disparities. This symposium showcased the latest diabetes research and highlighted promising new treatment approaches for mitigating stress in diabetes.

The diabetes insulin self-management education (DIME) intervention for people with type 2 diabetes starting insulin: a pilot feasibility randomised controlled trial

OBJECTIVE

To determine the feasibility and acceptability of a diabetes insulin self-management education (DIME) group intervention for people with type 2 diabetes starting insulin.

DESIGN

Single-centre parallel randomised pilot trial.

SETTING

Primary care, South London, UK.

SUBJECTS

Adults with type 2 diabetes, requiring insulin treatment, on maximum tolerated dose of 2 or more oral antidiabetic drugs with HbA1c > / = 7.5% (58 mmol/mol) on 2 occasions. We excluded people who were non-fluent in English; morbid obesity (BMI > / = 35 kg/m²); in employment that contraindicates insulin treatment; and those with severe depression, anxiety disorders, psychotic disorders, personality disorders, or cognitive impairment.

METHODS

Participants were randomised using blocks of 2 or 4 to 3, 2-h group, face-to-face, DIME sessions or standard insulin group education sessions (control). We assessed feasibility according to consent to randomisation and attendance at intervention (DIME) and standard group insulin education sessions. Acceptability of the interventions was determined using exit interviews. We additionally measured change in self-reported insulin beliefs, diabetes distress and depressive symptoms between baseline and 6-month post-randomisation.

RESULTS

There were 28 potentially eligible participants, of which 17 consented to randomisation, 9 were allocated to the DIME group intervention and 8 were allocated to the standard group insulin education. Three people withdrew from the study (1 from DIME and 2 from standard insulin education) before the start of the first session and did not complete baseline questionnaires. Of the remaining participants (n = 14), all DIME participants (n = 8) completed all 3 sessions, and all standard insulin education participants (n = 6) completed at least 1 standard insulin education session. The median group size was 2, the mean age of participants was 57.57 (SD 6.45) years, and 64% were female (n = 9). Exit interviews demonstrated that all participants (n = 7) found the group sessions acceptable, and thematic analysis of interview transcripts indicated social support, the content of group sessions and post-group experiences were positive, especially amongst DIME participants. There was improvement on self-report questionnaires.

CONCLUSIONS

The DIME intervention was acceptable and feasible to deliver to participants with type 2 diabetes starting insulin in South London, UK.

TRIAL REGISTRATION

International Study Registration Clinical Trial Network (ISRCTN registration number 13339678).