Psychotropic-related sexual dysfunction is a quite frequent issue in clinical practice, mainly in chronic treatments affecting both quality of life and compliance. In the last decade fortunately antidepressants and antipsychotic compounds have been deeply screened in order to identify sexual adverse events that were commonly underdiagnosed and previously underestimated by clinicians and perhaps by pharmaceutical companies as well. Some differences in the mechanism of action are the nucleus of this poorly tolerated adverse event. All antidepressants with serotonergic activity can cause mild to severe sexual dysfunction such as decreased libido and delayed orgasm frequently (>60%) or anorgasmia and arousal difficulties sometimes (30%). In contrast, noradrenergic, dopaminergic, or melatonergic antidepressants do not cause sexual dysfunction but perhaps the clinical profile of patients receiving these compounds could be different. Antipsychotics that highly increase prolactin levels and strongly block dopamine receptors could be related to sexual dysfunction as well. Unfortunately, these dysfunctions are present during the long term after the antipsychotic onset to provide continued symptom control and enable recovery. Young patients suffering psychosis and concomitant sexual dysfunction (erectile and/or orgasmic difficulties) tend to show poor compliance in chronic treatments affecting the outcomes. The implications of psychotropic-related sexual dysfunction in clinical practice are relevant mainly in patients under long-term treatment with previous satisfactory sexual life. Implications for future research about sexual dysfunction in all new treatments should be strongly taken into account.
Introduction: The literature showed the need for a better understanding of the male sexual response, which has historically been considered as simpler and more mechanistic compared with that in women.Aim: To examine the literature on biopsychosocial factors associated with the level of sexual desire in men and discuss some interesting directions for future research.Methods: A systematic literature review was conducted.Main outcome measures: 169 articles published in Google Scholar, Web of Science, Scopus, EBSCO, and Cochrane Library about male sexual desire and related biopsychosocial factors.Results: We found a lack of multidimensional studies on male sexual desire. Most existing research has focused on hypoactive sexual desire disorder in coupled heterosexual men. Biological factors play important roles in the level of sexual desire, but they are insufficient to explain the male sexual response. Psychological, relational, and sexual factors (eg depression, anxiety, emotions, attraction, conflicts, communication, sexual functioning, distress, satisfaction) are involved in the development/maintenance of lack of sexual interest in men. Cultural influence is also relevant, with cognitive factors linked to gender roles and sexual scripts of masculinity identified as important predictors of low sexual desire.Conclusion: Male sexual desire is characterized by an interplay among biological, psychological, sexual, relational, and cultural elements. This interplay merits further study to better understand how sexual desire works and how treatments for low sexual interest could be improved.
1 April 2017 in Journal of Pediatric and Adolescent Gynecology
Anal fissures (AFs) are lesions located in the lower anal canal. They can be primary (chronic or acute) or secondary to a basic disease. There is high comorbidity of depression and anxiety in patients with chronic AF, with poorer quality of life (QoL) and sexual function. This is a case–control study carried out in the San Juan Hospital (Alicante, Spain). Sixty-seven participants were included in the study, including 35 cases and 32 controls: 36 males and 31 females. This study aims to investigate the association of presenting AFs with sexuality, quality of life, anxiety, depression, and anger. The instruments used were the Spanish validated versions of the validated original selected questionnaires. These instruments were used to assess health-related quality of life, anxiety, anger, depression, and sexual function. Results show higher values in cases than in controls with statistical significance in anxiety state and trait; anxiety and depression; bodily pain, general health, and vitality; and 10 of the 12 anger factors. Higher values in controls than in cases with statistical significance in sexuality and many of the QoL factors were found. Addressing these issues in AF surgical patients would be beneficial for their clinical assessment and intervention.
28 June 2015 in British Journal of General Practice
Background Prevalence of diagnostic inertia (DI), defined as a failure to diagnose disease, has not been analysed in patients with obesity. Aim To quantify DI for cardiovascular risk factors (CVRF) in patients with obesity, and determine its association with the cardiovascular risk score. Design and setting Cross-sectional study of people ≥40 years attending a preventive programme in primary healthcare centres in Spain in 2003–2004. Method All patients with obesity attending during the first 6 months of the preventive programme were analysed. Participants had to be free of CVD (myocardial ischaemia or stroke) and aged 40–65 years; the criteria used to measure SCORE (Systematic COronary Risk Evaluation). Three subgroups of patients with obesity with no personal history of CVRF but with poor control of risk factors were established. Outcome variable was DI, defined as poor control of risk factors and no action taken by the physician. Secondary variables were diabetes, fasting blood glucose (FBG), body mass index (BMI), and SCORE. Adjusted odds ratios (OR) was determined using multivariate logistic regression models. Results Of 8687 patients with obesity in the programme, 6230 fulfilled SCORE criteria. Prevalence of DI in the three subgroups was: hypertension, 1275/1816 (70.2%) patients affected (95% CI = 68.1 to 72.3%); diabetes, 335/359 (93.3%) patients affected (95% CI = 90.7 to 95.9%); dyslipidaemia subgroup, 1796/3341 (53.8%) patients affected (95% CI = 52.1 to 55.4%. Factors associated with DI for each subgroup were: for hypertension, absence of diabetes, higher BMI, and greater cardiovascular risk; for dyslipidaemia, diabetes, higher BMI, and greater cardiovascular risk (SCORE); and for diabetes, lower FBG levels, lower BMI, and greater cardiovascular risk. Conclusion This study quantified DI in patients with obesity and determined that it was associated with a greater cardiovascular risk.