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Despite potential links between diabetes and sensorineural hearing loss (SNHL), routine hearing assessments for diabetic patients are not standard practice. Our study aimed to investigate the prevalence of SNHL and its association with diabetes-related factors among patients with type 2 diabetes mellitus (T2DM).
This cross-sectional study was conducted at the Diabetes Clinic, Jinnah Postgraduate Medical Centre, Karachi, Pakistan, from May to September 2021. A total of 396 patients fulfilling the inclusion criteria participated after informed consent. Data collection involved a sociodemographic profile, Michigan Neuropathy Screening Instrument examination followed by pure-tone audiometry and laboratory tests including haemoglobin A1C (HbA1c). HL was defined using better ear four-frequency pure-tone average of ≥26 dB HL and graded as per WHO criteria. Statistical analyses were performed using SPSS. 2, independent t-test and multinomial logistic regression analyses were applied. P
Our study revealed a high prevalence of SNHL among patients with T2DM. Mild HL was seen in 55.8%, while 18.7% suffered from moderate HL. Common audiological symptoms included difficulty understanding speech in noisy surroundings (44.2%), balance problems (42.9%), sentence repetition (35.9%), tinnitus (32.3%) and differentiating consonants (31.1%). Hearing impairment predominantly affected low (0.25–0.5 kHz) and high (4–8 kHz) frequencies with a significant difference at 4 kHz among both sexes (t (394)=2.8, p=0.004). Peripheral neuropathy was significantly associated with SNHL on multinomial logistic regression after adjusting with age, sex, body mass index and the presence of any comorbidities. Diabetes duration, HbA1c or family history of diabetes was found unrelated to SNHL severity.
The study highlights the substantial prevalence of SNHL among patients with T2DM and emphasises the importance of targeted audiological care as part of a holistic approach to diabetes management. Addressing HL early may significantly improve communication and overall quality of life.
Globally, cardiovascular disease (CVD) remains the leading cause of death, warranting effective management and prevention measures. Risk prediction tools are indispensable for directing primary and secondary prevention strategies for CVD and are critical for estimating CVD risk. Machine learning (ML) methodologies have experienced significant advancements across numerous practical domains in recent years. Several ML and statistical models predicting CVD time-to-event outcomes have been developed. However, it is not known as to which of the two model types—ML and statistical models—have higher discrimination and calibration in this regard. Hence, this planned work aims to systematically review studies that compare ML with statistical methods in terms of their predictive abilities in the case of time-to-event data with censoring.
Original research articles published as prognostic prediction studies, which involved the development and/or validation of a prognostic model, within a peer-reviewed journal, using cohort or experimental design with at least a 12-month follow-up period will be systematically reviewed. The review process will adhere to the Critical Appraisal and Data Extraction for Systematic Reviews of Prediction Modelling Studies checklist.
Ethical approval is not required for this review, as it will exclusively use data from published studies. The findings of this study will be published in an open-access journal and disseminated at scientific conferences.
CRD42023484178.
Tuberculosis (TB) remains a public health concern in Kenya despite the massive global efforts towards ending TB. The impediments to TB prevention and care efforts include poor health systems, resource limitations and other sociopolitical contexts that inform policy and implementation. Notably, TB cases are much higher in men than women. Therefore, the political economy analysis (PEA) study provides in-depth contexts and understanding of the gender gaps to access and successful treatment for TB infection.
PEA adopts a qualitative, in-depth approach through key informant interviews (KII) and documentary analysis.
The KIIs were distributed among government entities, academia, non-state actors and community TB groups from Kenya.
The themes identified were mapped onto the applied PEA analysis framework domains. The contextual and institutional issues included gender concerns related to the disconnect between TB policies and gender inclusion aspects, such as low prioritisation for TB programmes, limited use of evidence to inform decisions and poor health system structures. The broad barriers influencing the social contexts for TB programmes were social stigma and cultural norms such as traditional interventions that negatively impact health-seeking behaviours. The themes around the economic situation were poverty and unemployment, food insecurity and malnutrition. The political context centred around the systemic and governance gaps in the health system from the national and devolved health functions.
Broad contextual factors identified from the PEA widen the disparity in targeted gender efforts toward men. Following the development of effective TB policies and strategies, it is essential to have well-planned gendered responsive interventions with a clear implementation plan and monitoring system to enhance access to TB prevention and care.
A meta-analysis investigation was carried out to measure the wound infections (WIs) and other postoperative problems (PPs) of distal gastrectomy (DG) compared with total gastrectomy (TG) for gastric cancer (GC). A comprehensive literature investigation till February 2023 was used and 1247 interrelated investigations were reviewed. The 12 chosen investigations enclosed 2896 individuals with GC in the chosen investigations' starting point, 1375 of them were TG, and 1521 were DG. Odds ratio (OR) in addition to 95% confidence intervals (CIs) were utilized to compute the value of the WIs and other PPs of DG compared with TG for GC by the dichotomous approaches and a fixed or random model. TG had significantly higher overall PP (OR, 1.58; 95% CI, 1.15–2.18, p = 0.005), WIs (OR, 1.69; 95% CI, 1.07–2.67, p = 0.02), peritoneal abscess (PA) (OR, 2.99; 95% CI, 1.67–5.36, p < 0.001), anastomotic leakage (AL) (OR, 1.90; 95% CI, 1.21–2.97, p = 0.005) and death (OR, 2.26; 95% CI, 1.17–4.37, p = 0.02) compared to those with DG in individuals with GC. TG had significantly higher overall PP, WIs, PA, AL and death compared to those with DG in individuals with GC. However, care must be exercised when dealing with its values because of the low sample size of some of the nominated investigations for the meta-analysis.
by Aminu S. Abdullahi, Abubaker Suliman, Moien AB Khan, Howaida Khair, Saad Ghazal-Aswad, Iffat Elbarazi, Fatima Al-Maskari, Tom Loney, Rami H. Al-Rifai, Luai A. Ahmed
BackgroundLow hemoglobin (Hb) level is a leading cause of many adverse pregnancy outcomes. Patterns of changes in Hb levels during pregnancy are not well understood.
AimThis study estimated Hb levels, described its changing patterns across gestational trimesters, and identified factors associated with these changes among pregnant women.
Materials and methodsData from the ongoing maternal and child health cohort study–The Mutaba’ah Study, was used (N = 1,120). KML machine learning algorithm was applied to identify three distinct cluster trajectories of Hb levels between the first and the third trimesters. Descriptive statistics were used to profile the study participants. Multinomial multivariable logistic regression was employed to identify factors associated with change patterns in Hb levels.
ResultsThe three identified clusters–A, B and C–had, respectively, median Hb levels (g/L) of 123, 118, and 104 in the first trimester and 119, 100, and 108 in the third trimester. Cluster ’A’ maintained average normal Hb levels in both trimesters. Cluster ’B’, on average, experienced a decrease in Hb levels below the normal range during the third trimester. Cluster ’C’ showed increased Hb levels in the third trimester but remained, on average, below the normal range in both trimesters. Pregnant women with higher gravida, diabetes mellitus (type 1 or 2), nulliparity or lower level of education were more likely to be in cluster ’B’ than the normal cluster ’A’. Pregnant women who reported using iron supplements before pregnancy or those with low levels of education. were more likely to be in cluster ’C’ than the normal cluster ’A’.
ConclusionThe majority of pregnant women experienced low Hb levels during pregnancy. Changes in Hb levels during pregnancy were associated with parity, gravida, use of iron before pregnancy, and the presence of diabetes mellitus (type 1 or 2).
by Alexis Thrower, Bethany Barone Gibbs, Abdullah Alansare, Sally Sherman, Kelliann Davis
Vinyasa yoga is moderate-intensity physical activity, yet physiological responses are poorly characterized. The purpose of this study was to examine the effect of a vinyasa yoga session on autonomic/cardiovascular functioning in healthy adults. A randomized crossover design took place at the Physical Activity and Weight Management laboratory (Pittsburgh, PA; n = 18), and included two experimental conditions: 60 minutes of vinyasa yoga or a seated control, and measurements were taken at baseline, 5-minutes, and 65-minute post-conditions. The primary cardiovascular-related outcomes of this study included blood pressure (BP), heart rate (HR), and HR variability (HRV) measures [natural log transformed (ln) standard deviation of normal-to-normal R-R intervals (SDNN), root mean square of successive differences (RMSSD), high frequency (HF), and low frequency to high frequency ratio (LF/HF ratio)]. Linear mixed effects models were used for data analyses. Systolic BP was 8.14 mmHg lower at 5 minutes post yoga (pby Muntequa Imtiaz Siraji, Ahnaf Akif Rahman, Mirza Muntasir Nishat, Md Abdullah Al Mamun, Fahim Faisal, Lamim Ibtisam Khalid, Ashik Ahmed
Depression is a psychological state of mind that often influences a person in an unfavorable manner. While it can occur in people of all ages, students are especially vulnerable to it throughout their academic careers. Beginning in 2020, the COVID-19 epidemic caused major problems in people’s lives by driving them into quarantine and forcing them to be connected continually with mobile devices, such that mobile connectivity became the new norm during the pandemic and beyond. This situation is further accelerated for students as universities move towards a blended learning mode. In these circumstances, monitoring student mental health in terms of mobile and Internet connectivity is crucial for their wellbeing. This study focuses on students attending an International University of Bangladesh to investigate their mental health due to their continual use of mobile devices (e.g., smartphones, tablets, laptops etc.). A cross-sectional survey method was employed to collect data from 444 participants. Following the exploratory data analysis, eight machine learning (ML) algorithms were used to develop an automated normal-to-extreme severe depression identification and classification system. When the automated detection was incorporated with feature selection such as Chi-square test and Recursive Feature Elimination (RFE), about 3 to 5% increase in accuracy was observed by the method. Similarly, a 5 to 15% increase in accuracy has been observed when a feature extraction method such as Principal Component Analysis (PCA) was performed. Also, the SparsePCA feature extraction technique in combination with the CatBoost classifier showed the best results in terms of accuracy, F1-score, and ROC-AUC. The data analysis revealed no sign of depression in about 44% of the total participants. About 25% of students showed mild-to-moderate and 31% of students showed severe-to-extreme signs of depression. The results suggest that ML models, incorporating a proper feature engineering method can serve adequately in multi-stage depression detection among the students. This model might be utilized in other disciplines for detecting early signs of depression among people.by Muhammad Abdul Rehman, Unaiza Naeem, Anooja Rani, Umm E. Salma Shabbar Banatwala, Afia Salman, Muhammad Abdullah Khalid, Areeba Ikram, Erfa Tahir
BackgroundVirtual multidisciplinary team meetings (VMDTM) provide a standard of care that is not limited by physical distance or social restrictions. And so, when the COVID-19 pandemic imposed irrefutable social restrictions and made in-person meetings impossible, many hospitals switched to the VMDTMs. Although the pandemic might have highlighted the ease of VMDTMs, these virtual meetings have existed over the past decade, albeit less in importance. Despite their recent importance, no review has previously assessed the feasibility of VMDTMs through the eyes of the participants, the barriers participants face, nor their comparison with the in-person format. We undertook this scoping review to map existing literature and assess the perspectives of VMDTM participants.
Material and methodsWe searched MEDLINE, Embase, CINAHL, and Google Scholar from inception till July 1st, 2023 to select studies that evaluated the perspectives of participants of VMDTMs regarding the core components that make up a VMDMT. Four authors, independently, extracted data from all included studies. Two authors separated data into major themes and sub-themes.
ResultsWe identified six core, intrinsic aspects of a VMDTM that are essential to its structure: (1) organization, (2) case discussion and decision-making, (3) teamwork and communication, (4) training and education, (5) technology, and (6) patient-related aspect. VMDTMs have a high overall satisfaction rating amongst participants. The preference, however, is for a hybrid model of multidisciplinary teams. VMDTMs offer support to isolated physicians, help address complex cases, and offer information that may not be available elsewhere. The periodical nature of VMDTMs is appropriate for their consideration as CMEs. Adequate technology is paramount to the sustenance of the format.
ConclusionVMDTMs are efficient and offer a multidisciplinary consensus without geographical limitations. Despite certain technical and social limitations, VMDTM participants are highly satisfied with the format, although the preference lies with a hybrid model.
Cyberbullying is a growing public health concern with clear, negative impacts on the mental, physical and social health of targeted victims. Previous research on cyberbullying has largely focused on examining its occurrence among children and adolescents. The present study aims to examine the prevalence of cyberbullying victimisation and its association with family dysfunction, health behaviour and psychological distress among young adults in Selangor, Malaysia.
A cross-sectional study was conducted in a locality within Selangor, sampling a total of 1449 young adults. The Cyberbullying and Online Aggression Survey was used to measure cyberbullying victimisation. The Family APGAR scale, General Health Questionnaire, Pittsburgh Sleep Quality Index and single-item measures were used to assess family dysfunction, psychological distress and health behaviour, respectively.
The 1-month prevalence of cyberbullying victimisation among young adults was 2.4%. The most common cyberbullying act experienced was mean or hurtful comments about participants online (51.7%), whereas the most common online environment for cyberbullying to occur was social media (45.8%). Male participants (adjusted OR (AOR)=3.60, 95% CI=1.58 to 8.23) had at least three times the odds of being cyberbullied compared with female participants. Meanwhile, participants with higher levels of psychological distress had increased probability of being cyberbullied compared with their peers (AOR=1.13, 95% CI=1.05 to 1.21).
As evident from this study, cyberbullying victimisation prevails among young adults and is significantly related to gender and psychological distress. Given its devastating effects on targeted victims, a multipronged and collaborative approach is warranted to reduce incidences of cyberbullying and safeguard the health and well-being of young adults.
To investigate the experiences of men struggling with infertility.
This is a qualitative study, and the report follows the COREQ checklist.
A team of nurse researchers conducted this research in Iran to examine the experiences of 11 men with primary infertility. The participants were selected through targeted sampling and underwent in-depth semi-structured interviews. The data collected was analysed using the conventional content analysis method outlined by Krippendorff. To ensure the study's accuracy, it followed the criteria proposed by Lincoln and Guba.
The central theme, “the threat to masculinity,” was identified upon analysis. It comprises six categories: psychological pressure of confronting reality, frustration, discomfort with others, holding out against ridicule, tolerating unwanted opinions and advice and concealment of infertility and therapy.
This study brings attention to the challenge to masculinity that men with primary infertility face as their central struggle. It highlights the importance of culturally sensitive care from healthcare professionals, emotional support, counselling services and public awareness to reduce the stigma surrounding male infertility. It can be valuable to evaluate and enhance infertility care in various settings.
To provide the best possible care for infertile men, it would be beneficial for nurses to pay more attention to sociocultural factors. Fertility care should be respectful of patients' beliefs and backgrounds.
Infertility care has been the subject of recent research, focusing on the impact of sociocultural factors. Male-factor infertility is often overlooked in clinical care literature. There is a correlation between cultural background and men's acceptance of reproductive healthcare.
Male infertility is often avoided in discussions due to its perceived threat to masculinity. Multiple factors, including societal norms, cultural expectations and personal experiences, influence the nature of men's struggles with infertility. Providing emotional support and counselling services is crucial so that men can openly discuss their fertility challenges and seek treatment without feeling ashamed or judged.
Raising public awareness and providing education about male infertility is crucial. Nurses must exhibit cultural sensitivity while caring for men experiencing infertility. Policymakers need to implement strategies to reduce the stigma surrounding male infertility.
The study is reported using the Consolidated Criteria for Reporting Qualitative Research (COREQ).
No public or patient involvement.
The purpose of the meta-analysis was to evaluate and compare the prevalence of surgical site infection (SSI) after spine surgery (SS) in nasal colonization of methicillin-resistant Staphylococcus aureus (MRSA). The results of this meta-analysis were analysed, and the odds ratio (OR) and mean difference (MD) with 95% confidence intervals (CIs) were calculated using dichotomous or contentious random- or fixed-effect models. For the current meta-analysis, 14 examinations spanning from 2014 to 2022 were included, encompassing 18 410 people who were tested for nasal colonization after SS. MRSA-positive had a significantly higher SSI (OR, 3.65; 95% CI, 2.48–5.37, p < 0.001) compared with MRSA-negative in SS subjects. However, no significant difference was found between methicillin-susceptible Staphylococcus aureus and Staphylococcus aureus negative (OR, 0.94; 95% CI, 0.32–2.79, p = 0.91), and Staphylococcus aureus positive and negative (OR, 2.13; 95% CI, 0.26–17.41, p = 0.48) in SS subjects. The examined data revealed that MRSA colonization had a significant effect on SSI; however, methicillin-susceptible Staphylococcus aureus and Staphylococcus aureus had no significant effect on SSI in SS subjects. However, given that some comparisons included a small number of chosen studies, attention should be given to their values.
The meta-analysis aimed to assess the effect of hyperbaric oxygen treatment on diabetic foot ulcers. Using dichotomous or contentious random or fixed effect models, the outcomes of this meta-analysis were examined and the odds ratio (OR) and the mean difference (MD) with 95% confidence intervals (CIs) were computed. 17 examinations from 1992 to 2022 were enrolled for the present meta-analysis, including 7219 people with diabetic foot ulcers. Hyperbaric oxygen treatment had a significantly higher healed ulcer (OR, 14.39; 95% CI, 4.02–51.52, p < 0.001), higher adverse event (OR, 2.14; 95% CI, 1.11–4.11, p = 0.02), lower mortality (OR, 0.22; 95% CI, 0.07–0.71, p = 0.01) and higher ulcer area reduction (MD, 23.39; 95% CI, 11.79–34.99, p < 0.001) compared to standard treatment in patients with diabetic foot ulcers. However, hyperbaric oxygen treatment and standard treatment had no significant difference in amputation (OR, 0.62; 95% CI, 0.22–1.75, p = 0.37), major amputation (OR, 0.59; 95% CI, 0.18–1.92, p = 0.38), minor amputation (OR, 0.64; 95% CI, 0.15–2.66, p = 0.54) and healing time (MD, −0.001; 95% CI, −0.76 to 0.75, p = 0.99) in patients with diabetic foot ulcers. The examined data revealed that hyperbaric oxygen treatment had a significantly higher healed ulcer, adverse event, and ulcer area reduction and lower mortality, however, there was no significant difference in amputation and healing time compared to standard treatment in patients with diabetic foot ulcers. Yet, attention should be paid to its values since most of the selected examinations had a low sample size and some of the comparisons had a low number of selected studies.
The meta-analysis aimed to assess the efficiency of platelet-rich plasma (PRP) in the management of burn wounds (BWs). Using dichotomous or contentious random- or fixed-effects models, the outcomes of this meta-analysis were examined and the odds ratio (OR) and the mean difference (MD) with 95% confidence intervals (CIs) were computed. Thirteen examinations from 2009 to 2023 were enrolled for the present meta-analysis, including 808 individuals with BWs. PRP had significantly shorter healing time (MD, −5.80; 95% CI, −7.73 to −3.88, p < 0.001), higher healing rate (OR, 3.14; 95% CI, 2.05–4.80, p < 0.001), higher healed area percent (MD, 12.67; 95% CI, 9.79–15.55, p < 0.001) and higher graft take area percent (MD, 4.39; 95% CI, 1.51–7.26, p = 0.003) compared with standard therapy in patients with BW. However, no significant difference was found between PRP and standard therapy in graft take ratio (OR, 1.70; 95% CI, 0.86–3.34, p = 0.13) and infection rate (OR, 0.55; 95% CI, 0.20–1.47, p = 0.23) in patients with BW. The examined data revealed that PRP had a significantly shorter healing time, a higher healing rate, a higher healed area percent and a higher graft take area percent; however, no significant difference was found in graft take ratio or infection rate compared with standard therapy in patients with BW. Yet, attention should be paid to its values since all of the selected examinations had a low sample size and some comparisons had a low number of selected studies.
FreshRSS 