The Association between Personality Factors and Metabolic Parameters among Patients with Non-Alcoholic-Fatty Liver Disease and Type 2 Diabetes Mellitus-A Cross-Sectional Study

A Cross-Sectional Study Investigating Associations between Personality Traits, Glycemic Control, and BMI in Persons with Diabetes: Lolland-Falster Health Study, Denmark

There is a growing focus on person-centered care, emphasizing the importance of respecting inter-individual differences and implementing individualized treatment initiatives. Prior research has established an association between personality traits, body mass index, and health-related behaviors. The aim of this study was to explore the potential of personality trait assessments in identifying individuals at risk of glycemic dysregulation and increasing BMI. This cross-sectional study used a dataset comprising 140 participants with diabetes who completed the Big Five personality trait questionnaire from the Lolland-Falster Health Study. Logistic regression was used to investigate associations between personality traits, glycemic control, and BMI ≥ 25. No significant associations between personality traits and glycemic control were found. There was a significant association between agreeableness and lower odds of BMI ≥ 25 in the unadjusted analysis (OR 0.54 (0.34-0.86)), which persisted after adjusting for sex, age, and education (OR 0.54 (0.33-0.89)). No significant association between glycemic control and personality traits was observed in this small sample study. However, higher levels of agreeableness were associated with a lower likelihood of having a BMI of ≥25. This preliminary study suggests that integrating personality assessments could help identify individuals at risk of increasing BMI. These findings highlight the potential of using personality traits to guide targeted interventions, offering a direction for future research.

Salvia miltiorrhiza bge. f. alba ameliorates type 2 diabetes mellitus-associated non-alcoholic fatty liver disease via the STING pathway

OBJECTIVE

To elucidate the functional role and underlying mechanism of Salvia miltiorrhiza bge. f. alba (SMBFA) in patients with type 2 diabetes mellitus (T2DM) accompanied by non-alcoholic fatty liver disease (NAFLD).

METHODS

A retrospective analysis was conducted on 90 patients with T2DM-NAFLD who met the inclusion criteria. The control group was comprised of 45 patients treated with Fenofibrate, while the observation group consisted of 45 patients who received SMBFA in addition to the control treatment. An in vivo mouse model of T2DM-NAFLD was established using a high-fat diet combined with streptozotocin. Serum levels of fasting plasma glucose (FPG), 2-hour postprandial glucose (2h PG), hemoglobin A1c (HbA1c), homeostasis model assessment of insulin resistance (HOMA-IR), total cholesterol (TC), and triglyceride (TG) were measured in both patients and mice using an automated biochemical analyzer. Liver indices and function were also evaluated. ELISA assays were performed to quantify inflammatory cytokine levels. Western blotting was utilized to assess the protein levels related to the stimulator of interferon genes (STING)-interferon regulatory factor 3 (IRF3) pathway.

RESULTS

After treatment, significant reductions in blood glucose indices, HOMA-IR, lipid metabolism markers, liver function indices, and inflammatory cytokines were observed in both groups of T2DM-NAFLD patients. Notably, the decreases were more pronounced in the observation group compared to the control group. Similarly, in T2DM-NAFLD mouse models, the levels of these parameters were significantly lower in the observation group than in the normal control (NC) group. Additionally, SMBFA suppressed the elevated levels of STING, p-IRF3, and p-TANK-binding kinase 1 in the T2DM-NAFLD mice.

CONCLUSION

SMBFA exhibits the potential to regulate glucose and lipid metabolism, inhibit insulin resistance, and protect liver function by modulating the STING signaling pathway.

Self-management behaviours in adults with non-alcoholic fatty liver disease: a cross-sectional survey from China

OBJECTIVES

The prevalence of non-alcoholic fatty liver disease (NAFLD) in China has significantly increased due to changing lifestyles and rising obesity rates. Effective self-management behaviours are crucial for reversing NAFLD. This study aimed to assess the current self-management status and the influencing factors among the Chinese NAFLD population.

DESIGN

A cross-sectional study.

SETTING

This was a study conducted between 30 May 2022 and 30 May 2023 at a tertiary care hospital.

PARTICIPANTS

A total of 380 patients diagnosed with NAFLD were included in this study. NAFLD patients included in this study were diagnosed by FibroScan and had a controlled attenuation parameter ≥248 dB/m.

PRIMARY OUTCOMES AND MEASURES

The primary outcomes were self-management, demographic characteristics and clinical features of patients with NAFLD. Self-management-related domains were assessed using the self-management questionnaire of NAFLD.

RESULTS

The study included 380 patients with an average age of 42.79±13.77 years, with 62.89% being male. The mean score on the self-management scale was 80.92±18.31, indicating a low level of self-management behaviours. Among the five dimensions of the self-management scale, lifestyle management received the highest score (10.68±2.53), while disease knowledge management received the lowest score (9.29±2.51). Furthermore, gender (β=0.118, p=0.009), education level (β=0.118, p=0.010), body mass index (BMI) (β=-0.141, p=0.002) and sleep quality (β=0.387, p<0.001) were found to influence the self-management behaviours of patients to some extent.

CONCLUSIONS

This cross-sectional survey in China revealed impaired self-management behaviours among adults with NAFLD. The study identified significant associations between self-management behaviours and gender, education level, BMI and sleep quality. Healthcare providers should focus on optimising the care of NAFLD patients to enhance their self-management behaviours.