Self-Administered Auricular Acupressure Integrated With a Smartphone App for Weight Reduction: Randomized Feasibility Trial.

BACKGROUND: Obesity is a common global health problem and increases the risk of many chronic illnesses. Given the adverse effects of antiobesity agents and bariatric surgeries, the exploration of noninvasive and nonpharmacological complementary methods for weight reduction is warranted. OBJECTIVE: The study aimed to determine whether self-administered auricular acupressure (AA) integrated with a smartphone app was more effective than using AA alone or the controls for weight reduction. METHODS: This study is a 3-arm randomized waitlist-controlled feasibility trial. A total of 59 eligible participants were randomly divided into either group 1 (AA group, n=19), group 2 (AA plus smartphone app, n=19), or group 3 (waitlist control, n=21). A total of 6 reflective zones or acupoints for weight reduction were chosen. The smartphone app could send out daily messages to the subjects to remind them to perform self-pressing on the 6 ear acupoints. A "date picker" of the 8-week treatment course was used to enable the users to input the compliance of pressing and the number of bowel movement daily instead of using the booklet for recordings. The app also served as a reminder for the subjects regarding the dates for returning to the center for acupoint changing and assessments. Treatment was delivered 2 times a week, for 8 weeks. Generalized estimating equations were used to examine the interactions among the groups before and after intervention. RESULTS: Subjects in group 2 expressed that the smartphone app was useful (7.41 out of 10). The most popular features were the daily reminders for performing self-pressing (88%), the ear diagram indicating the locations and functions of the 6 ear points (71%), and ear pressing method demonstrated in the video scripts (47%). Nearly 90% of the participants completed the 8-week intervention, with a high satisfaction toward the overall arrangement (8.37 out of 10). The subjects in group 1 and 2 achieved better therapeutic effects in terms of body weight, body mass index (BMI), waist circumference, and hip circumference and perceived more fullness before meals than the waitlist controls. Although no significant differences in the pairwise comparisons between the 2 groups were detected (P>.05), the decrease in body weight, BMI, body fat, visceral fat rating and leptin level, and increase in adiponectin level were notable in group 2 before and after the intervention. CONCLUSIONS: The high compliance rate and high satisfaction toward the trial arrangement indicate that AA can be used to achieve weight reduction and applied in future large-scale studies. AA integrated with the smartphone app has a more notable effect than using AA alone for weight reduction. Larger sample size should be considered in future trials to determine the causal relationship between treatment and effect. TRIAL REGISTRATION: ClinicalTrials.gov NCT03442712; https://clinicaltrials.gov/ct2/show/NCT03442712 (Archived by WebCite at http://www.webcitation.org/78L2tO8Ql).

Qualitative insights into the experiences of living with moderate-to-severe lower urinary tract symptoms among community-dwelling ageing males.

BACKGROUND: Lower urinary tract symptoms (LUTS) comprise a highly prevalent chronic condition among the aging male population. Existing literature on the experiences of men with LUTS is scarce given that only a few studies explored medical care-seeking behaviors and coping strategies. The current understanding of the experiences of elderly males with LUTS is considerably limited. Therefore, the present study aimed to identify the experiences of living with moderate-to-severe LUTS among community-dwelling Chinese ageing males and their coping strategies to facilitate the management of LUTS by healthcare providers. METHODS AND FINDINGS: A qualitative exploratory design using thematic analysis was used. Semi-structured interviews with 24 Chinese ageing males with moderate-to-severe LUTS were conducted. According to the participants, LUTS adversely affect the physical aspects of their daily lives. Most of them were unwilling to seek social support and were even embarrassed to share this topic with their peers. A range of psychological responses could be observed from the participants that range from regarding the condition as a natural life course to loss of one's self-esteem. Most of the interviewees lacked knowledge and held misconceptions toward LUTS, which prevented them from pursuing medical advice. Most of the participants also sought alternative treatments and developed self-help methods to cope with their symptoms. CONCLUSION: LUTS affects the physical and social aspects of sufferers. The findings of this qualitative study can raise awareness about the life experiences, perceptions, misconceptions, and help-seeking behaviors of Chinese elderly with LUTS. Proper health education and advice can be provided for this population.

Association between Auricular Signals and the Risk Factors of Metabolic Syndrome.

Objective: This study aims to determine the association between auricular signals and the risk factors of metabolic syndrome (MS). Methods: A case-control study with an equal number of cases and controls matched by age group and gender was conducted. A total of 204 participants were recruited. Patients were verified as having MS based on the International Diabetes Federation (IDF) criteria. Auricular assessment was conducted in the following sequence: visual inspection, electrical skin resistance test (ESRT), and pressure pain test (PPT). Results: MS+ patients tend to have much more oily auricle complexion than the controls. The 'endocrine' (right) of the participants with MS indicated a significantly higher electrical conductivity compared to that of the controls. The MS group participants experienced significant tenderness on the 'heart' and 'endocrine' acupoints. A number of auricular signals were also associated with the risk factors of MS, including age, gender, smoking status, family history of diabetes, and comorbid illnesses. Both the 'heart' and 'endocrine' acupoints showed the highest sensitivity to tenderness (60.8%), followed by the 'endocrine' (59.8%) and 'pancreas and gallbladder' (55.9%). Conclusions: The results of this study suggest that electrical conductivity and tenderness of a number of auricular points, including the 'heart', 'pancreas and gall bladder', and 'endocrine', are associated with MS and its risk factors. Further investigations with a larger sample size could be conducted to verify the value of these auricular signals on MS risk prediction so that this method can be used as an early screening method for the population with a high MS risk.

Intelligent image retrieval based on radiology reports.

OBJECTIVES: To create an advanced image retrieval and data-mining system based on in-house radiology reports. METHODS: Radiology reports are semantically analysed using natural language processing (NLP) techniques and stored in a state-of-the-art search engine. Images referenced by sequence and image number in the reports are retrieved from the picture archiving and communication system (PACS) and stored for later viewing. A web-based front end is used as an interface to query for images and show the results with the retrieved images and report text. Using a comprehensive radiological lexicon for the underlying terminology, the search algorithm also finds results for synonyms, abbreviations and related topics. RESULTS: The test set was 108 manually annotated reports analysed by different system configurations. Best results were achieved using full syntactic and semantic analysis with a precision of 0.929 and recall of 0.952. Operating successfully since October 2010, 258,824 reports have been indexed and a total of 405,146 preview images are stored in the database. CONCLUSIONS: Data-mining and NLP techniques provide quick access to a vast repository of images and radiology reports with both high precision and recall values. Consequently, the system has become a valuable tool in daily clinical routine, education and research. KEY POINTS: Radiology reports can now be analysed using sophisticated natural language-processing techniques. Semantic text analysis is backed by terminology of a radiological lexicon. The search engine includes results for synonyms, abbreviations and compositions. Key images are automatically extracted from radiology reports and fetched from PACS. Such systems help to find diagnoses, improve report quality and save time.