METHODS: The review spanned 1997 to 2023, adhering to Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) guidelines. Databases like PubMed, ScienceDirect, and Google Scholar were searched for relevant literature. Selection criteria covered English-language journals, US Food and Drug Administration (FDA) guidelines, and professional organizational standards, revealing key aspects of MQSA and breast cancer diagnostics in the USA.
RESULTS AND DISCUSSION: MQSA's legislative aspects guarantee the effectiveness of regulations for high-quality mammography. It addresses technology, emphasizes inspections, and balances compliance with healthcare burdens. Procedural guidelines prioritize patient outcomes, minimize errors, and address access disparities. Regular updates are crucial to align screening services with technological changes, maintaining safety and accuracy nationwide.
CONCLUSION: The FDA's collaboration with stakeholders, including medical specialists and patient advocacy groups, has contributed to crucial legislative aspects of MQSA. The accuracy of mammography screenings has significantly improved by MQSA's installation of stringent quality and regulatory standards. Compliance with MQSA guidelines led to higher accuracy, safety, and better detection rates. Ongoing efforts must aim to refine guidelines, address emerging challenges, and optimize breast cancer detection.
Methods: This cross-sectional study was carried out on 400 pregnant women who were selected using stratified random sampling technique from eight private maternity centers located in Indore city. A questionnaire collected information on socio-demographic characteristics, oral hygiene practices, previous dental visit and past medical history. OHRQOL was assessed using Oral Health Impact Profile-14 questionnaire. Lifestyle factors were assessed using the Health practice Index.
Results: The lifestyle factors were the strongest predictor for poor OHRQOL. The pregnant women (OR = 3.22, P-value < 0.0001*) with poor lifestyle had significantly poor OHRQOL. Logistic regression analysis showed that poor socio-economic status (OR = 2.63, P-value = 0.025*), brushing frequency of less than or equal to once daily (OR = 2.02, P-value = 0.025*), and suffering from systemic diseases (OR = 2.11, P-value = 0.017*) were other important predictors for poor OHRQOL in pregnant women.
Conclusions: Our findings showed that lifestyle factors significantly impact OHRQOL in pregnant women. Thus, it is recommended that effective policies should be drafted to improve lifestyle factors and OHRQOL in pregnant women.
METHODS: This cross-sectional online survey involved patients with asthma and physicians managing such patients from Southeast Asia (Indonesia, Malaysia, Philippines, Thailand and Vietnam) and the Middle East (Saudi Arabia and United Arab Emirates) included in the Asthma Patients' and Physicians' Perspectives on the Burden and Management of Asthma (APPaRENT) 3 study. Patients and physicians shared their attitudes and beliefs regarding treatment and adherence in asthma management.
RESULTS: Most patients (82%, 1108/1354) reported having ever received treatment with daily controller inhalers, whereas 38% used inhaled relievers at least once daily for symptomatic relief. Among those prescribed maintenance and reliever therapy, 93% were prescribed a separate inhaled reliever, with significant variation by country (P
METHODS: This cross-sectional survey of patients with asthma and treating physicians was conducted in seven countries: Indonesia, Malaysia, Philippines, Thailand, Vietnam (patient survey only), Saudi Arabia, and the United Arab Emirates. Assessment was carried out through an online/face-to-face questionnaire, where patients' viewpoints were focused on their attitudes and beliefs about asthma and treatment adherence, whereas physicians' viewpoints were gathered on their attitudes and beliefs about asthma management, knowledge of and adherence to asthma treatment guidelines, and asthma treatment regimens.
RESULTS: Overall, 1400 patients (mean age, 34 years) and 599 physicians (mean age, 43 years) were included in the survey. Physicians similarly prioritised symptom control (39%) and exacerbation reduction (40%) in moderate asthma, whereas patients prioritised symptom control (41%) over exacerbation reduction (22%). Although both groups (physicians, 86%; patients, 84%) perceived asthma as well-controlled, poor management was evident based on Asthma Control Test (ACT) scores (mean, 15.7; standard deviation, 4.14; 82% had an ACT score
METHODS: The sample included 54,826 subjects (64.73% females; 34.15% males; 1.11% nonbinary gender) from 40 countries (COMET-G study). The analysis was based on the registration of previous history that could serve as a fair approximation for the lifetime prevalence of various medical conditions.
RESULTS: About 24.5% reported a history of somatic and 26.14% of mental disorders. Mental disorders were by far the most prevalent group of medical conditions. Comorbidity of any somatic with any mental disorder was reported by 8.21%. One-third to almost two-thirds of somatic patients were also suffering from a mental disorder depending on the severity and multicomorbidity. Bipolar and psychotic patients and to a lesser extent depressives, manifested an earlier (15-20 years) manifestation of somatic multicomorbidity, severe disability, and probably earlier death. The overwhelming majority of patients with mental disorders were not receiving treatment or were being treated in a way that was not recommended. Antipsychotics and antidepressants were not related to the development of metabolic syndrome.
CONCLUSIONS: The finding that one-third to almost two-thirds of somatic patients also suffered from a mental disorder strongly suggests that psychiatry is the field with the most trans-specialty and interdisciplinary value and application points to the importance of teaching psychiatry and mental health in medical schools and also to the need for more technocratically oriented training of psychiatric residents.
METHODS: Chi-square tests were used for initial screening to select only those variables which would show an initial significance. Risk Ratios (RR) were calculated, and a Multiple Backward Stepwise Linear Regression Analysis (MBSLRA) was followed with those variables given significant results at screening and with the presence of distress or depression or the lack of both of them.
RESULTS: The most important risk factors for depression were female (RR = 1.59-5.49) and non-binary gender (RR = 1.56-7.41), unemployment (RR = 1.41-6.57), not working during lockdowns (RR = 1.43-5.79), bad general health (RR = 2.74-9.98), chronic somatic disorder (RR = 1.22-5.57), history of mental disorders (depression RR = 2.31-9.47; suicide attempt RR = 2.33-9.75; psychosis RR = 2.14-10.08; Bipolar disorder RR = 2.75-12.86), smoking status (RR = 1.15-5.31) and substance use (RR = 1.77-8.01). The risk factors for distress or depression that survived MBSLRA were younger age, being widowed, living alone, bad general health, being a carer, chronic somatic disorder, not working during lockdowns, being single, self-reported history of depression, bipolar disorder, self-harm, suicide attempts and of other mental disorders, smoking, alcohol, and substance use.
CONCLUSIONS: Targeted preventive interventions are crucial to safeguard the mental health of vulnerable groups, emphasizing the importance of diverse samples in future research.
LIMITATIONS: Online data collection may have resulted in the underrepresentation of certain population groups.
MATERIAL AND METHODS: During the COVID-19 pandemic, an online questionnaire gathered data from 55,589 participants from 40 countries (64.85% females aged 35.80 ± 13.61; 34.05% males aged 34.90±13.29 and 1.10% other aged 31.64±13.15). Distress and probable depression were identified with the use of a previously developed cut-off and algorithm respectively.
STATISTICAL ANALYSIS: Descriptive statistics were calculated. Chi-square tests, multiple forward stepwise linear regression analyses and Factorial Analysis of Variance (ANOVA) tested relations among variables.
RESULTS: Probable depression was detected in 17.80% and distress in 16.71%. A significant percentage reported a deterioration in mental state, family dynamics and everyday lifestyle. Persons with a history of mental disorders had higher rates of current depression (31.82% vs. 13.07%). At least half of participants were accepting (at least to a moderate degree) a non-bizarre conspiracy. The highest Relative Risk (RR) to develop depression was associated with history of Bipolar disorder and self-harm/attempts (RR = 5.88). Suicidality was not increased in persons without a history of any mental disorder. Based on these results a model was developed.
CONCLUSIONS: The final model revealed multiple vulnerabilities and an interplay leading from simple anxiety to probable depression and suicidality through distress. This could be of practical utility since many of these factors are modifiable. Future research and interventions should specifically focus on them.
MATERIALS AND METHODS: The data came from the larger COMET-G study. The study sample includes 12,792 health professionals from 40 countries (62.40% women aged 39.76 ± 11.70; 36.81% men aged 35.91 ± 11.00 and 0.78% non-binary gender aged 35.15 ± 13.03). Distress and clinical depression were identified with the use of a previously developed cut-off and algorithm, respectively.
STATISTICAL ANALYSIS: Descriptive statistics were calculated. Chi-square tests, multiple forward stepwise linear regression analyses, and Factorial Analysis of Variance (ANOVA) tested relations among variables.
RESULTS: Clinical depression was detected in 13.16% with male doctors and 'non-binary genders' having the lowest rates (7.89 and 5.88% respectively) and 'non-binary gender' nurses and administrative staff had the highest (37.50%); distress was present in 15.19%. A significant percentage reported a deterioration in mental state, family dynamics, and everyday lifestyle. Persons with a history of mental disorders had higher rates of current depression (24.64% vs. 9.62%; p