Dietary Intake and Health Status of Elderly Patients With Type 2 Diabetes Mellitus: Cross-sectional Study Using a Mobile App in Primary Care.

BACKGROUND: Healthy dietary intake reduces the risk of complications of diabetes mellitus. Using assessment methods helps to understand these circumstances, and an electronic application may optimize this practice. OBJECTIVE: In this study, we aimed to (1) assess the dietary intake and health status of elderly patients with type 2 diabetes mellitus (T2DM) in primary care, (2) use a mobile app as a tool for data collection and analysis in the context of primary care, and (3) verify the perceptions of multidisciplinary health professionals regarding app use. METHODS: First, we developed a mobile app comprised of the questions of the Food and Nutrition Surveillance System (SISVAN) of Brazil, which includes a food frequency questionnaire of food categories with a recall of the previous 7 days. Thereafter, we used the app to collect data on the health status and dietary intake of 154 participants, aged 60-96 years, diagnosed with T2DM, and under treatment in primary care centers in the northern region of Rio Grande do Sul, Brazil. We also collected participants' demographic, anthropometric, biochemical, and lifestyle variables. The associations between dietary intake and other variables were tested using chi-square tests with a 5% significance level. Regarding the app, we assessed usability and acceptance with 20 health professionals. RESULTS: Between August 2018 and December 2018, participants had an intake in line with recommended guidelines for raw salads (57.1%), fruits (76.6%), milk products (68.2%), fried foods (72.7%), savory biscuits (60.4%), cookies or sweets (72.1%), and sugary drinks (92.9%) Meanwhile, the consumption of beans (59.7%), pulses and cooked vegetables (73.4%), and processed meat products (59.7%) was not in line with the guidelines. There were statistically significant differences in meeting the recommended guidelines among participants of different genders (P=.006 and P=.035 for the intake of fried foods and sugary drinks, respectively), place of residence (P=.034 for the intake of cookies and sweets), family history of diabetes (P<.001 for the intake of beans), physical activity engagement (P=.003 for the intake fresh fruits), history of smoking (P=.001 for the intake of raw salads), and presence of coronary disease (P=.050 for the intake of pulses and cooked vegetables). The assessment of usability resulted in a mean score of 71.75 points. Similarly, the assessment of the 15 acceptance questions revealed high scores, and the qualitative questions revealed positive perceptions. CONCLUSIONS: We identified that most participants complied with recommended intake guidelines for 7 of 10 categories in the SISVAN guidelines. However, most participants were overweight and had nutritional and clinical disorders, which justifies further investigations in this population. The app was well-rated by health professionals and considered a useful and promising tool for collecting and analyzing data in primary care settings.

Mobile health applications for chronic diseases: A systematic review of features for lifestyle improvement.

AIMS: To identify mobile health applications with features for improving the lifestyle of patients with chronic diseases. METHODS: We performed a systematic literature review between November 2017 and May 2018 on the Virtual Health Library's interface. A total of 816 records were identified. In the selection process, 24 studies met inclusion criteria for analysis. Study characteristics were extracted and synthesized. RESULTS: We identified applications with similar functionalities, such as the use of reminders and medical monitoring. Most of them addressed the treatment of conditions related to an already diagnosed chronic disease, including Diabetes Mellitus, Hypertension, Cardiovascular Diseases, Asthma, Neoplasms, and chronic conditions in general. The main lifestyle changes were the reduction of body weight, promotion of healthy eating, and adherence to the regular practice of physical exercises. CONCLUSIONS: Technology can facilitate health care with simple messages and alerts that aid in adherence to treatment. Changes in lifestyle with the use of applications are remarkable. Benefits may be even greater if more applications address the importance of prevention and not just treatment.

Food consumption and glycemic testing of adults and elderly diabetic patients from Public Health: A systematic review of assessment methods.

AIMS: To map and discuss the different methods used to assess food consumption and glycemic testing of adults and elderly diabetic patients from Public Health. MATERIALS AND METHODS: A total of 710 records were identified by searching databases integrated by the Virtual Health Library website, between September and October 2017. The Newcastle Ottawa scale was used for study quality assessment. A total of 8 studies met inclusion criteria for analysis. Study characteristics were extracted and synthesized to generate comparisons. RESULTS: Food consumption was evaluated by Food Frequency Questionnaire, 24-hour Dietary Recall, Eating Attitudes Test (EAT-26), Questionnaire On Eating and Weight Patterns (QEWP-R), and questioning the salt intake. Glucose testing methods included Postprandial Glucose, Glycated Hemoglobin (HbA1C), fasting glucose, and self-reported diabetes. CONCLUSIONS: Most methods that access food consumption use single questionnaires, which are easy to administer and yield easily interpreted results. For glycemic testing, the majority used are conventional methods.