Dataset Information

Diabetes and Humor: A Preliminary Investigation.

ABSTRACT: Diabetes can take a tremendous toll on physical and psychological health. Given the growing evidence of the benefits of humor, this study examined the association between diabetes and humor. The sample consisted of 249 participants: 72.3% with type 1 diabetes, 70.3% female, 89.5% Caucasian, and 70.9% college educated. Participants completed the Humor Styles Questionnaire (HSQ) and were compared with HSQ norms. On the affiliative humor scale, the diabetes group did not differ from the norm (P >0.05), nor did those with type 1 diabetes (P >0.05). Scores of those with type 2 diabetes were lower than the norm (P <0.05). On the self-enhancing humor scale, the diabetes group did not differ from the norm (P >0.05), nor did the subgroups with type 1 diabetes (P >0.05) or type 2 diabetes (P >0.05). The diabetes group was lower than the norm on aggressive humor (P <0.01), as were the subgroups with type 1 diabetes (P <0.01) and type 2 diabetes (P <0.05). The diabetes group was higher than the norm on self-defeating humor (P <0.01), as were the subgroups with type 1 diabetes (P <0.01) and type 2 diabetes (P <0.01). Results suggest that people with either type of diabetes are more inclined toward self-enhancing humor, are less inclined toward aggressive humor, and score higher on self-defeating humor, and those with type 1 diabetes are also inclined toward affiliative humor. Results are discussed relative to the sample being comprised of individuals with good glycemic control (mean A1C 7.06 ± 1.39%). This study offers a preliminary comparison of humor among people with diabetes versus those in a healthy norm group without diabetes.

SUBMITTER: Greene DS

PROVIDER: S-EPMC7228823 | biostudies-literature |

REPOSITORIES: biostudies-literature

ACCESS DATA

Similar Datasets

Project description:Diabetes mellitus is a multiorgan systemic disease impacting numerous ocular structures that results in significant ocular morbidity and often results in more frequent corneal and glaucoma surgeries for affected individuals. We hypothesize that the systemic metabolic and proteomic derangement observed in the progression of diabetes influences the composition of the aqueous humor (AH), which ultimately impacts the anterior segment health of the eye. To identify changes associated with diabetes progression, we mapped the metabolite profile and proteome of AH samples from patients with varying severities of type II diabetes (T2DM). Patients were classified as nondiabetic (ND or control), non-insulin-dependent diabetic without advanced features of disease (NAD-ni), insulin-dependent diabetic without advanced features (NAD-i), or diabetic with advanced features (AD). AH samples collected from the anterior chamber during elective ophthalmic surgery were evaluated for metabolite and protein expression changes associated with diabetic severity via gas chromatography/mass spectrometry and ultra-high performance liquid chromatography tandem mass spectrometry, respectively. Metabolic and proteomic pathway analyses were conducted utilizing MetaboAnalyst 4.0 and Ingenuity Pathway Analysis. A total of 14 control, 12 NAD-ni, 4 NAD-I, and 14 AD samples were included for analysis. Elevated levels of several branched amino acids (e.g., valine, leucine, isoleucine), and lipid metabolites (e.g., palmitate) were found only with increasing diabetic severity (i.e., the AD group). Similar proteomic trends were noted in amino acid and fatty acid metabolism and the unfolded protein/stress response. These results represent the first report of both metabolomic and proteomic evaluation of aqueous humor. Diabetes results in metabolic and proteomic perturbations detectable in the AH, and unique changes become manifest as T2DM severity worsens. Changes in AH composition may serve as an indicator of disease severity, risk assessment of anterior segment cells and structures, and potential future therapies.

Dataset Information

Diabetes and Humor: A Preliminary Investigation.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets