Effects of a smart phone-based game on balance ability and dizziness in healthy adult individuals

Many people use smartphone these days. There are many studies on the effects of smartphones on our bodies, but there is a lack of research on balance and dizziness. The purpose of this study was to determine how a healthy person’s balance and dizziness is affected by using smart devices. Twenty four healthy adults in their twenties were assigned to the 10-minute and 20-minute group based on the duration of the smartphone game. To evaluate the effects of smartphone games on the balance and dizziness of the participants, we evaluated their balance and dizziness before and after playing the smartphone game. Balance was measured using a force plate (Wii Balance Board, Balancia version 2.0, Mintosys Inc., Seoul, KR) and dizziness was measured using the Simulator sickness Questionnaire (SSQ). There was a significant difference in balance among both groups before and after playing the smartphone game (p .05). Regarding dizziness, the SSQ score indicated minimal symptoms in the 10-minute group, while it revealed significant symptoms in the 20-minute group. In this study, playing a smartphone game for 10 minutes and 20 minutes was found to affect balance. Further, it was found that playing a smartphone game for 20 minutes may lead to a significant level of dizziness

Association of menopausal hormone therapy with gastric and colorectal cancer risks in Korean women: A nationwide population-based cohort study

Background: Menopausal hormone therapy (MHT) has been associated with a decreased risk of gastric cancer (GC) and colorectal cancer (CRC); however, few studies have been conducted in diverse ethnic groups, particularly in the Asian population. Therefore, the current study evaluated if MHT is inversely associated with GC and CRC in East Asia using a representative population-based study in Korea. Methods: This retrospective cohort study was conducted using the National Health Insurance Service–National Sample Cohort 2.0 in South Korea from 2002 to 2015. A total of 196,095 women aged ≥40 years were included in the study. The numbers of participants who did and did not use MHT were 19,063 (9.7 %) and 177,032 (90.3 %), respectively. Hazard ratios (HRs) and the corresponding 95 % confidence intervals (CIs) were estimated using a time-dependent Cox proportional hazards model. Age was considered as a time scale, and other confounding factors, including income levels based on insurance premiums, region of residence, and comorbidities, were included in the multivariable-adjusted model. Results: The total number of incident cases of GC and CRC were 1339 (0.68 %) and 1428 (0.73 %), respectively. We observed an inverse association of the use of estrogen replacement therapy (ERT; estrogen-containing therapy regardless of other regimen types) with GC [HR (95 % CI):0.68 (0.51–0.90)], CRC [0.57 (0.42–0.78)] and gastrointestinal cancer [GI, 0.63 (0.51–0.77)]. In the analyses by CRC subsite, the risks of both colon and rectal cancers were associated with ERT. In addition, both estrogen and combined estrogen and progestogen regimens were significantly associated with CRC and GI cancer. Conclusion: ERT was associated with a decreased risk of GC and CRC. Our findings support the protective effect of estrogen against GC and CRC in Korean women. © 2022 Elsevier B.V.N

The Effect of Pre-Stretched Substrate on the Electrical Resistance of Printed Ag Nanowires

One-dimensional nanomaterials have drawn attention as an alternative electrode material for stretchable electronics. In particular, silver nanowires (Ag NWs) have been studied as stretchable electrodes for strain sensors, 3D electronics, and freeform-shaped electronic circuits. In this study, Ag NWs ink was printed on the pre-stretched silicone rubber film up to 40% in length using a drop-on-demand dispenser. After printing, silicone rubber film was released and stretched up to 20% as a cyclic test with 10-time repetition, and the ratios of the resistance of the stretched state to that of the released state (Rstretched/Rreleased) were measured at each cycle. For Ag NWs electrode printed on the pre-stretched silicone rubber at 30%, Rstretched/Rreleased at 10% and 20% strain was 1.05, and 1.57, respectively, which is significantly less than about 7 for Ag NWs at the 10% strain without pre-stretched substrate. In the case of 10% strain on the 30% pre-stretched substrate, the substrate is stretched and the contact points with Ag NWs were not changed much as the silicone rubber film stretched, which meant that Ag NWs may slide between other Ag NWs. Ag NWs electrode on the 40% pre-stretched substrate was stretched, strain was concentrated on the Ag NWs electrode and failure of electrode occurred, because cracks occurred at the surface of silicone rubber film when it was pre-stretched to 40%. We confirmed that printed Ag NWs on the pre-stretched film showed more contact points and less electric resistance compared to printed Ag NWs on the film without pre-stretching

Screening Patients with Early Stage Parkinson’s Disease Using a Machine Learning Technique: Measuring the Amount of Iron in the Basal Ganglia

The purpose of this study was to determine whether a support vector machine (SVM) model based on quantitative susceptibility mapping (QSM) can be used to differentiate iron accumulation in the deep grey matter of early Parkinson’s disease (PD) patients from healthy controls (HC) and Non-Motor Symptoms Scale (NMSS) scores in early PD patients. QSM values on magnetic resonance imaging (MRI) were obtained for 24 early PD patients and 27 age-matched HCs. The mean QSM values in deep grey matter areas were used to construct SVM and logistic regression (LR) models to differentiate between early PD patients and HCs. Additional SVM and LR models were constructed to differentiate between low and high NMSS scores groups. A paired t-test was used to assess the classification results. For the differentiation between early PD patients and HCs, SVM had an accuracy of 0.79 ± 0.07, and LR had an accuracy of 0.73 ± 0.03 (p = 0.027). SVM for NMSS classification had a fairly high accuracy of 0.79 ± 0.03, while LR had 0.76 ± 0.04. An SVM model based on QSM offers competitive accuracy for screening early PD patients and evaluates non-motor symptoms, which may offer clinicians the ability to assess the progression of motor symptoms in the patient population