STUDY DESIGN: Systematic review and meta-analysis.
METHODS: A search was conducted across multiple databases until February 15, 2024. Observational studies that assessed the prevalence of gaming disorder were included. Nested Knowledge software was used for screening and data extraction. The quality assessment was performed using the Joanna Briggs Institute tool. Meta-analysis using a random effect model was used to synthesize prevalence rates. Statistical analyses were performed in R software version 4.3.
RESULTS: The meta-analysis included 84 studies covering a diverse geographical scope totaling 641,763 individuals. The pooled prevalence of gaming disorder was 8.6 % (95 % CI: 6.9 %-10.8 %), (I2 = 100 %). Subgroup analysis revealed varying prevalence rates by country, with China reporting the highest rate at 11.7 % (95 % CI: 8.6 %-15.7 %). Meta-regression analysis highlighted an increasing trend in the prevalence of gaming disorder over the years, underscoring the growing impact of digital technologies.
CONCLUSION: A significant prevalence of gaming disorder among adolescents is observed. With an increasing trend, fostering healthy gaming habits, enhancing awareness, and implementing effective intervention programs are crucial. This emphasizes the importance of global efforts in combating the growing challenge of gaming disorder among adolescents.
MATERIAL AND METHODS: Searches were conducted in six databases to identify randomised clinical trials (RCT) comparing staged VRA techniques with a minimum of 3 months follow-up. Relative premature bone resorption (PBR%) overall (primary) and in sites with uneventful versus complicated healing and need for additional bone grafting (NAG) (secondary) were chosen as outcomes. The risk of bias and certainty in evidence were assessed using Cochrane RoB 2.0 and GRADE tools. Bayesian models estimated treatment effects and rankings.
RESULTS: Ten RCTs, involving 220 participants and 236 defects, were included. Nine RCTs reported mean PBR%, with a range from 6% to 44%, averaging 26%. Seven treatment groups were evaluated: onlay, onlay + barrier, inlay, guided bone regeneration, distraction osteogenesis (DO), tissue expansion + tunnelling (TET), and cortical tenting. Eight RCTs, involving 160 participants and 176 defects, contributed to the NMA. Compared to onlay, all groups had lower mean PBR%. Inlay had the highest probability of being ranked first (Pr = 0.55), followed by DO (Pr = 0.27) and TET (Pr = 0.15). Healing complications significantly increased PBR% (MD 10%, 95% CrI 4.4-15.7).
CONCLUSION: VRA techniques preserving the periosteum (inlay, DO, and TET) exhibit less PBR compared with other techniques. When techniques involve full flap elevation, clinicians should anticipate volume loss at re-entry and consider greater grafting volumes to offset PBR. PROTOCOL REGISTRATION: PROSPERO ID: CRD42023394396; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=394396.
METHODS: We assessed the performance and overlap of various risk factors in identifying high-risk individuals for invasive breast cancer (BrCa) and ductal carcinoma in situ (DCIS) in 161,849 European-ancestry and 18,549 Asian-ancestry women. Discriminatory ability was evaluated using the area under the receiver operating characteristic curve (AUC). High-risk criteria included: 5-year absolute risk ≥1·66% by the Gail model [GAILbinary]; first-degree family history of breast cancer [FHbinary]; 5-year absolute risk ≥1·66% by a 313-variants polygenic risk score [PRSbinary]; and carriers of pathogenic variants in breast cancer predisposition genes [PTVbinary].
FINDINGS: The 5-year absolute risk by PRS outperformed the Gail model in predicting BrCa (Europeansvs controls: AUCPRS=0·635 [0·632-0·638] vs AUCGail=0·492 [0·489-0·495]; Asiansvs controls: AUCPRS=0·564 [0·556-0·573] vs AUCGail=0·506 [0·497-0·514]). PRSbinary and GAILbinary identified more high-risk European than Asia individuals. High-risk proportions were higher among BrCa (16-26%) and DCIS (20-33%) compared to controls (9-15%) among young Europeans and all Asians. Fewer than 7% of BrCa, 10% of DCIS, and 3% of controls were classified as high-risk by multiple risk classifiers. Overlap between PRSbinary and PTVbinary was minimal (<0·65% Europeans, <0·15% Asians) compared to the proportion at high risk using PTVbinary alone (Europeans: 4·6%, Asians: 4·4%) and PRSbinary alone (Europeans: 13·9%, Asians: 8·5%). PRSbinary and FHbinary uniquely identified 5-6% and 9-11% of young BrCa, respectively.
INTERPRETATION: The incomplete overlap between high-risk individuals identified by PRSbinary, GAILbinary, FHbinary, and PTVbinary highlights the need for a comprehensive approach to breast cancer risk prediction.
METHODS: This is a 12-week, multicenter, randomized controlled trial involving 70 community-dwelling older adults aged 60-75, recruited from three Pusat Aktiviti Warga Emas (PAWE) (Activity Center for Older Adults) in the Northern region of Malaysia. Participants will be randomized to either the intervention group, receiving the PTICOPE module workbook and guided use, or the control group, receiving general IC information, healthcare education, and self-care management. The recruitment of participants for this study has not yet commenced. Recruitment is expected to start after completing the validation of the PTICOPE module, however, it is anticipated that the recruitment start date is in February 2025 and will end in August 2025. Primary outcomes, including locomotor, psychological, cognitive, vitality, visual, and hearing functions using validated scales, will be collected at baseline, 4th, 8th, and 12th week of the study period. Secondary outcomes will evaluate QoL, activities of daily living, urogenital health, and oral health at baseline and 12th week. The normality of data will be checked. The independent t-tests, Chi-square tests, paired t-tests, and Repeated measures ANOVA will be used for data analysis, with a significant level at p
METHODS: Twenty young men were selected to measure the natural gait EMG of 14 muscles of the lower limb using VICON and NORAXON devices. Gait was classified into two categories according to the Niyogi S A classification, integral EMG differences were compared, and principal component analysis was performed on the differing muscles to calculate Cohen's d values for significant differences and ΔIEMG values for non-significant differences.
RESULTS: (1) Significant differences existed in the integral EMG of the left semitendinosus, right semitendinosus, right biceps femoris, and left gastrocnemius muscles, both lateral and medial. (2) Principal component analysis showed significant differences in the left semitendinosus for principal component five (P
METHODS: We used Global Burden of Disease (GBD) 2021 data to assess the burden of AHE across eight South Asian countries from 1990 to 2021. Joinpoint regression was used to analyze temporal trends and Estimated Annual Percentage Change (EAPC) was calculated to quantify trends. The relationship between age-standardized disability-adjusted life years rate (ASDR) and socio-demographic index (SDI) was assessed using smoothing spline model and Spearman rank correlation. Rates are expressed per 100,000 population.
RESULTS: Bangladesh had highest age-standardized prevalence rate (ASPR) [33.27 (95 % Uncertainty Interval: 27.64 to 39.95)] and age-standardized incidence rate (ASIR) [433.01 (359.61 to 519.76)], while India had highest ASDR [9.52 (4.33 to 18.42)]. Males had higher ASIR and ASPR than females in most South Asian countries, except Bhutan and India, and higher ASDR except in Nepal and Pakistan. Bhutan had the highest EAPC for both sexes in ASPR and ASIR, while India had the highest EAPC in ASDR, closely followed by Bhutan for both sexes. Age group 5-9 had the highest ASPR and ASIR whereas <1-year age group had the highest ASDR. There was an inverse relationship between ASDR and SDI (R = -0.49, p < 0.01).
CONCLUSION: South Asia bears a high burden of AHE, with variations across countries. Improvements in Water Sanitation and Hygiene (WASH) services are needed to achieve Sustainable Development Goals 3 and 6.