ABSTRACT
BACKGROUND: Estimating the nutritional content of food is essential for self-management in people with type 2 diabetes mellitus, but it is a difficult skill to learn. The aim of this study was to investigate how diabetes management was impacted by the ability of patients to search for items they ate from a database of 26,300 different foods, and to visualize nutritional intake using the Japanese mobile application (app) "Calomeal." METHODS: This was a single-arm, single-center, pilot study. Eighteen outpatients with type 2 diabetes mellitus used the "Calomeal" app for 3 months. The primary endpoint was change in hemoglobin A1c (HbA1c). Secondary endpoints were changes in body weight (BW), lipid parameters, and quality of life scores. RESULTS: The baseline characteristics of the study subjects were as follows: age: 53.4 ± 7.8 years; male/female ratio: 11/7; HbA1c: 7.9 (7.58 - 8.23)%; and body mass index (BMI): 25.17 (21.63 - 28.59) kg/m2. Significant reductions in HbA1c and BMI were observed over 3 months (HbA1c: 7.9 (7.58 - 8.23)% to 7.6 (7.3 - 8.23)%, P = 0.0410; BMI: 25.17 (21.63 - 28.59) to 24.54 (21.57 - 27.81) kg/m2, P = 0.0057). Reductions in HbA1c and BMI both correlated with decreased carbohydrate intake estimated by the mobile app. CONCLUSIONS: Japanese patients who used their smartphones to visualize their nutritional intake using the "Calomeal" app demonstrated improved short-term glycemic control and BMI. Although the validity of the results should be tested in future randomized controlled trials, this approach may be a clinical option for improving self-management in Japanese patients with type 2 diabetes mellitus.
ABSTRACT
OBJECTIVE: To analyse the relationships between dietary patterns and cognitive function in elderly patients with type 2 diabetes mellitus (T2DM). METHODS: Patients with T2DM completed a 3-day dietary record and Mini-mental State Examination (MMSE). Dietary patterns were identified by factor analysis. RESULTS: The study included 73 patients and identified five dietary patterns, one of which was characterized by high loading for vegetables and fish. A higher consumption of vegetables and fish was significantly associated with improved MMSE score (unadjusted model, model adjusted for age and sex, and model adjusted for age, sex, education, diabetic nephropathy and alcohol consumption), and decreased prevalence of suspected mild dementia (unadjusted model, model adjusted for age and sex). CONCLUSIONS: A high score in the vegetables and fish dietary pattern was associated with high MMSE score and low prevalence of suspected mild dementia in elderly patients with T2DM.
Subject(s)
Cognition , Diabetes Mellitus, Type 2/physiopathology , Diet , Aged , Aged, 80 and over , Demography , Female , Food , Humans , MaleABSTRACT
Malaria is a common parasitic disease in tropical countries, causing one to two million deaths every year. To establish the new biomarker, we analyzed plasma miRNAs obtained from 19 malaria patients and 19 normal subjects, using reverse transcription-based quantitative polymerase chain reaction (RT-qPCR). The average levels of plasma miR-451 and miR-16 were significantly lower in malaria patients, (8.9-fold; p <0.001 and 10.4-fold; p = 0.01, respectively). The levels of other abundant miRNAs in plasma (miR-223, miR-226-3p) did not change significantly in malaria patients. Our data suggest that plasma miR-451 and miR-16 are relevant biomarkers for malaria infection.
