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1.
Sexes ; 2(1):50, 2021.
Article in English | ProQuest Central | ID: covidwho-1834878

ABSTRACT

Sentiment analysis (SA) is a technique aimed at extracting opinions and sentiments through the analysis of text, often used in healthcare research to understand patients’ needs and interests. Data from social networks, such as Twitter, can provide useful insights on sexual behavior. We aimed to assess the perception of Valentine’s Day by performing SA on tweets we collected between 28 January and 13 February 2019. Analysis was done using ad hoc software. A total of 883,615 unique tweets containing the word “valentine” in their text were collected. Geo-localization was available for 48,918 tweets;most the tweets came from the US (36,889, 75.41%), the UK (2605, 5.33%) and Canada (1661, 3.4%). The number of tweets increased approaching February 14. “Love” was the most recurring word, appearing in 111,981 tweets, followed by “gift” (55,136), “special” (34,518) and “happy” (33,913). Overall, 7318 tweets mentioned “sex”: among these tweets, the most recurring words were “sexy” (2317 tweets), “love” (1394) and “gift” (679);words pertaining to intimacy and sexual activity, such as “lingerie”, “porn”, and “date” were less common. In conclusion, tweets about Valentine’s Day mostly focus on the emotions, or on the material aspect of the celebration, and the sexual aspect of Valentine’s Day is rarely mentioned.

2.
Sexes ; 2(3):293-304, 2021.
Article in English | MDPI | ID: covidwho-1295912

ABSTRACT

Restriction measures enacted during the COVID-19 pandemic had severe effects on male sexual and reproductive health. We aimed to investigate the real-life impact and perception of sexual function in 2020 in Italy, as the first Western country experiencing a national lockdown by measuring relative search volume for keywords pertaining to sexual health and behaviors provided by Google Trends and sales data for pro-erectile treatments. No significant change was observed for erectile dysfunction and premature ejaculation. Interest towards most phosphodiesterase type 5 inhibitors decreased significantly during lockdown (e.g., sildenafil, p = 0.0002;tadalafil p = 0.0016), then reverted to pre-lockdown levels (e.g., sildenafil, p <0.0001;tadalafil p <0.0001), mirroring a concomitant sales decrement (p = 0.0292). A subsequent recovery to previous levels at the end of the social confinement was also found (e.g., after vs. before lockdown, sildenafil, p = 0.8459;tadalafil p = 0.1166). During lockdown, interest towards pornography significantly increased during restrictions (p = 0.0053) and remained high (after vs. before lockdown, p = 0.0004), whereas interest towards paid and casual sex declined (p = 0.0015 and p = 0.049, respectively), then reverted to previous levels (after vs. before lockdown, p = 0.3969 and 0.8373, respectively). During the first Italian lockdown, we observed a transient but measurable decrease of sexual health-seeking behaviors and changes in sexual behaviors, with unknown impact for sexual medicine and public health.

3.
Diabetes Metab Res Rev ; 37(6): e3404, 2021 09.
Article in English | MEDLINE | ID: covidwho-847855

ABSTRACT

AIMS: To assess changes in glucose metrics and their association with psychological distress and lifestyle changes in patients with type 1 diabetes (T1D) using flash glucose monitoring (FGM) during lockdown following severe acute respiratory syndrome coronavirus 2 outbreak. MATERIALS AND METHODS: Single-centre, observational, retrospective study enrolling T1D patients who attended a remote visit on April 2020 at the Endocrinology division of the University Hospital Policlinico Consorziale, Bari, Italy. Lockdown-related changes in physical activity level and dietary habits were assessed on a semi-quantitative basis. Changes in general well-being were assessed by the General Health Questionnaire-12 items with a binary scoring system. Glucose metrics were obtained from the Libreview platform for the first 2 weeks of February 2020 (T0) and the last 2 weeks before the phone visit (T1). RESULTS: Out of 84 patients assessed for eligibility, 48 had sufficient FGM data to be included in the analysis. FGM data analysis revealed significant reductions in coefficient of variation, number of hypoglycaemic events, and time below range, while no changes were found in time in range, time above range, mean sensor glucose, and glucose management indicator. Moreover, the frequency of sweets consumption was inversely related to the occurrence of hypoglycaemic events during lockdown. CONCLUSIONS: Lockdown-related lifestyle changes, albeit unhealthy, may lead to reduction in FGM-derived measures of hypoglycaemia and glycaemic variability in patients with T1D.


Subject(s)
COVID-19/prevention & control , Communicable Disease Control , Diabetes Mellitus, Type 1 , Hypoglycemia/epidemiology , Stress, Psychological/epidemiology , Adolescent , Adult , Behavior Therapy/statistics & numerical data , Blood Glucose Self-Monitoring , COVID-19/epidemiology , Diabetes Mellitus, Type 1/blood , Diabetes Mellitus, Type 1/epidemiology , Diabetes Mellitus, Type 1/psychology , Diabetes Mellitus, Type 1/therapy , Disease Outbreaks , Female , Humans , Hypoglycemia/blood , Italy/epidemiology , Life Style , Male , Middle Aged , Pandemics , Patient Compliance/psychology , Patient Compliance/statistics & numerical data , Psychological Distress , Quarantine/statistics & numerical data , Remote Consultation , Retrospective Studies , SARS-CoV-2 , Stress, Psychological/etiology , Young Adult
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