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OBJECTIVE: To contextualize the challenges that persons with congenital genitourinary conditions (CGC) may encounter in adulthood, we examined health care access, readiness for self-management, and health care utilization of adults with spina bifida (SB). METHODS: Through surveys distributed via social media, persons with SB were asked about access and barriers to care, readiness for self-management, and health care utilization (ie, medical visits, missed visits, emergency room [ER] visits, hospital admissions) within the past year. Multivariable models were fitted to examine determinants of utilization. RESULTS: Of the 270 eligible respondents (mean age 39), 24.5% had not received care from a urologist in the past year. The odds of missing any medical visits were increased among those with more prior urologic surgeries (odds ratio (OR) 1.35, 95%confidence interval (CI) 1.05-1.78) and those with ER visits for urologic condition within the past year (OR 2.65, 95%CI 1.22-6.01). Those with private insurance had lower odds of having ER visits for urologic condition (OR 0.46, 95%CI 0.22-0.84). The odds of hospital admission related to urologic condition were increased among female (OR 2.35, 95%CI 1.01-6.64), those with more prior urologic surgeries (OR 1.18, 95%CI 1.09-1.51), and those with a urologist (OR 2.98, 95%CI 1.15-14.47). CONCLUSION: A substantial proportion of adults with CGC lack routine urologic care. Considering the significant barriers to care and lapses in care, efforts to improve access and optimize health care services utilization for this population with high medical complexity are warranted.

PURPOSE: Women with obesity are more likely to experience bothersome urinary and sexual symptoms, but the long-term effect of metabolic and bariatric surgery (MBS) on these outcomes is poorly understood. We aimed to describe how MBS longitudinally impacted womens urinary and sexual health. METHODS: Patients who underwent MBS at the University of California, San Francisco Medical Center (UCSF) between 2009 and 2021 participated in a survey examining sexual health, pelvic organ prolapse (POP), and urinary health using three validated questionnaires: a modified version of the Female Sexual Function Index (FSFI), the Pelvic Organ Prolapse Distress Inventory 6 (POPDI-6), and the Urinary Distress Inventory 6 (UDI-6). All questions asked referenced two time points: before surgery and at the time of survey. Logistic regression identified predictors of symptom improvement. RESULTS: Of 162 participants contacted, 118 (73%) had complete survey data. Mean body mass index (BMI) decreased from 52.4 ± 12.6 to 36.3 ± 9.7 kg/m2 (p < 0.01) with an average follow-up of 6 years. The mean UDI-6 score amongst women was 24 ± 24 prior to MBS and 24 ± 26 at the time of survey administration (p = 0.458). Mean modified FSFI scores amongst women were 15 ± 5 prior to surgery and 14 ± 7 at the time of survey administration (p = 0.005). The overall mean POPDI-6 score amongst women was 13 ± 15 prior to surgery and 9 ± 14 at the time of survey administration (p = 0.056). CONCLUSION: Women who underwent MBS reported a high rate of sexual and urological dysfunction that did not improve longitudinally, despite significant weight loss.

Introduction

There are few published empirical data on the effects of COVID-19 on mental health, and until now, there is no large international study.

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.

Introduction

The current study aimed to investigate the rates of anxiety, clinical depression, and suicidality and their changes in health professionals during the COVID-19 outbreak.

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 < 0.0001). Suicidal tendencies were at least doubled in terms of RASS scores. Approximately one-third of participants were accepting (at least to a moderate degree) a non-bizarre conspiracy. The highest Relative Risk (RR) to develop clinical depression was associated with a history of Bipolar disorder (RR = 4.23).

Conclusions

The current study reported findings in health care professionals similar in magnitude and quality to those reported earlier in the general population although rates of clinical depression, suicidal tendencies, and adherence to conspiracy theories were much lower. However, the general model of factors interplay seems to be the same and this could be of practical utility since many of these factors are modifiable.

Introduction

During the COVID-19 pandemic various degrees of lockdown were applied by countries around the world. It is considered that such measures have an adverse effect on mental health but the relationship of measure intensity with the mental health effect has not been thoroughly studied. Here we report data from the larger COMET-G study pertaining to this question.

Material and methods

During the COVID-19 pandemic, data were gathered with an online questionnaire 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). Anxiety was measured with the STAI, depression with the CES-D and suicidality with the RASS. Distress and probable depression were identified with the use of a previously developed cut-off and algorithm respectively.

Statistical analysis

It included the calculation of Relative Risk (RR), Factorial ANOVA and Multiple backwards stepwise linear regression analysis RESULTS: Approximately two-thirds were currently living under significant restrictions due to lockdown. For both males and females the risk to develop clinical depression correlated significantly with each and every level of increasing lockdown degree (RR 1.72 and 1.90 respectively). The combined lockdown and psychiatric history increased RR to 6.88 The overall relationship of lockdown with severity of depression, though significant was small.

Conclusions

The current study is the first which reports an almost linear relationship between lockdown degree and effect in mental health. Our findings, support previous suggestions concerning the need for a proactive targeted intervention to protect mental health more specifically in vulnerable groups.