The origins of sex-biased differences in disease and health are of growing interest to both medical researchers and health professionals. Several major factors have been identified that affect sex differences in incidence of diseases and mental disorders. These are: sex chromosomes, sex hormones and female immunity, sexual selection and antagonistic evolution, and differential susceptibility of sexes to environmental factors. These factors work on different time scales and are not exclusive of each other. Recently, a combined Sexual Selection-Sex Hormones (SS-SH) Theory was presented as an evolutionary mechanism to explain sex-biased differences in diseases and mental disorders (Singh in J Mol Evol 89:195–213, 2021). In that paper disease prevalence trends were investigated, and non-sex-specific diseases were hypothesized to be more common in males than in females in general. They showed signs of exceptions to this trend with inflammatory diseases and stress-related mental disorders that were more common in females. We believe that the SS-SH theory requires the consideration of psycho-social stress (PSS) to explain the predominance of female-biased mental disorders and some other exceptions in their findings. Here we present a theory of sex-differential experience of PSS and provide quantitative support for the combined SS-SH-PSS Theory using age-standardized incidence rates (ASIRs) recording the levels of male- and female-bias in data obtained from different countries. The grand theory provides an evolutionary framework for explaining patterns of sex-biased trends in the prevalence of disease and health. Further exploration of women’s vulnerability to social factors may help to facilitate new treatments for female-biased diseases.

Background: Bacterial antimicrobial resistance (AMR) is a leading cause of mortality worldwide. Although AMR is common in low-income communities, there is limited evidence of the effect of antibiotic stewardship programs in low-income communities in the United States. Objectives: Our goal is to assess the effects of implementing pharmacist-led ASP by integrating it with medication therapy management service (MTM) in a low-income serving clinic. We evaluated the following 1) antibiotic prescriptions per 1000 patients, 2) the frequency of clinic (office) visits 30-day post-index clinic visits for recurring infections. Methods:  To achieve our goal, we conducted a pre-post, quasi-experimental intervention study using an interrupted time-series analysis to assess the following: 1) antibiotic prescriptions per 1000 patients and the 2) frequency of office visits (including telehealth) within 30-day post-index clinic visits associated with recurrent infection. Results: Our findings revealed that the long-term effect of our antibiotic stewardship program intervention was associated with 63.69% reduction in antibiotic prescriptions per 1000 patients (change in slope = -0.173, [95% CI: (-0.30, -0.05)], P < 0.007) and a reduction in the frequency of office visits within  30-day post-index clinic visits by  67.27% (change in slope = -2.043, [95% CI: (-3.84, -0.24)], P < 0.028). Conclusion: Implementing antibiotic stewardship programs is feasible for clinics serving low-income populations. It was associated with a reduction in antibiotic prescriptions and preventable clinic (office) visits within 30 days due to infection recurrence.