Is There Limited Utility for Lifestyle Recommendations for Diabetes Prevention Among Overweight or Obese Depressed Patients?

Differences in mental health status between individuals living with diabetes, and pre-diabetes in Qatar: A cross-sectional study

Aims

The aims of this study was to determine the prevalence and to compare depression and anxiety screening scores by type of diabetes: type 2 diabetes mellitus (T2DM), type 1 diabetes mellitus (T1DM), and pre-diabetes. The secondary aim was to examine sex differences in screening scores by type of diabetes.

Methods

This cross-sectional study was conducted in Doha, Qatar using primary data collection (N = 150), and stratified random sampling at a diabetes primary healthcare center. The study tool collected demographic information and used validated mental health screening tools for depressive symptoms "Patient Health Questionnaire-9 (PHQ-9)", and for anxiety symptoms "Generalized Anxiety Disorder 7 (GAD-7)".

Results

The prevalence of moderate to severe depressive and anxiety scores was highest in the prediabetes group (20 % and 14 % respectively). There were increased PHQ-9 scores in the pre-diabetes group compared to T2DM (p-value <0.05). No statistically significant differences in depressive symptom scores were found when comparing the pre-diabetes group with T1DM, and T1DM with T2DM. When looking at sex differences, there were no statistically significant differences between T1DM and pre-diabetes males and females, however PHQ-9 and GAD-7 scores in T2DM females were poorer compared to T2DM males.

Conclusion

The results of our study found patients living with pre-diabetes, and females with T2DM are vulnerable populations who should be screened for mental health disorders. Early screening for mental health disorders for individuals diagnosed with prediabetes, T1DM, and T2DM should be routinely conducted to potentially improve health outcomes.

Preventing type 2 diabetes: A research agenda for behavioural science

AIMS

The aim of this narrative review was to identify important knowledge gaps in behavioural science relating to type 2 diabetes prevention, to inform future research in the field.

METHODS

Seven researchers who have published behaviour science research applied to type 2 diabetes prevention independently identified several important gaps in knowledge. They met to discuss these and to generate recommendations to advance research in behavioural science of type 2 diabetes prevention.

RESULTS

A total of 21 overlapping recommendations for a research agenda were identified. These covered issues within the following broad categories: (a) evidencing the impact of whole population approaches to type 2 diabetes prevention, (b) understanding the utility of disease-specific approaches to type 2 diabetes prevention such as Diabetes Prevention Programmes (DPPs) compared to generic weight loss programmes, (c) identifying how best to increase reach and engagement of DPPs, whilst avoiding exacerbating inequalities, (d) the need to understand mechanism of DPPs, (e) the need to understand how to increase maintenance of changes as part of or following DPPs, (f) the need to assess the feasibility and effectiveness of alternative approaches to the typical self-regulation approaches that are most commonly used, and (g) the need to address emotional aspects of DPPs, to promote effectiveness and avoid harms.

CONCLUSIONS

There is a clear role for behavioural science in informing interventions to prevent people from developing type 2 diabetes, based on strong evidence of reach, effectiveness and cost-effectiveness. This review identifies key priorities for research needed to improve existing interventions.