RESUMEN
AIM: The study aimed to determine potential risk factors associated with Premenstrual Syndrome and Premenstrual Dysphoric Disorder. METHODS: Three hundred two female student participants who were 18-45 years old completed a questionnaire including demographic characteristics, lifestyle factors, and a Vietnamese Premenstrual Syndrome Screening Tool. We then followed up participants during at least two menstrual cycles using the Daily Record of Severity of Problems. The Premenstrual Syndrome and Premenstrual Dysphoric Disorder diagnosis was established using The Carolina Premenstrual Assessment Scoring System, based on the American College of Obstetrics and Gynecology and Diagnostic and Statistical Manual of Mental Disorders. RESULTS: According to the Carolina Premenstrual Assessment Scoring System, 35 out of 302 students (11.6%; 95%CI: 8.2-15.7%) met the diagnosis of PMS (31 students) or PMDD (4 students). We found that age at menarche (PR = 0.77, 95%CI: 0.63-0.96), having negative Rh blood type (PR = 4.43, 95%CI: 1.95 to 10.08), being moderately depressed or higher (PR = 2.81, 95%CI: 1.24 to 6.36), and consuming caffeine more than three times per week were statistically associated with having Premenstrual Syndrome or Premenstrual Dysphoric Disorder after adjusting for other variables. CONCLUSION: The prominent risk factors for Premenstrual Syndrome and Premenstrual Dysphoric Disorder were negative Rhesus blood type, menarche age, caffeine consumption, and self-reported depression.
Asunto(s)
Trastorno Disfórico Premenstrual , Síndrome Premenstrual , Estudiantes de Medicina , Humanos , Femenino , Trastorno Disfórico Premenstrual/epidemiología , Trastorno Disfórico Premenstrual/etiología , Estudios Transversales , Cafeína , Síndrome Premenstrual/epidemiologíaRESUMEN
OBJECTIVE: To assess whether an all-condition case management program can improve health care utilization and clinical outcomes in patients with diabetes. RESEARCH DESIGN AND METHODS: 1342 patients with diabetes were enrolled in the Johns Hopkins Community Health Partnership (J-CHiP) Case Management program for high-risk patients with any chronic disease. We categorized participants into two intervention exposure categories based on the number of contacts with case manager (CM) and community health worker (CHW) per month: low contact (≤1 contact/month), and high contact (>1 contacts/month). The primary outcomes were rates of emergency department (ED) visits, hospitalizations, and 30-day hospital readmissions. RESULTS: In analyses adjusted for age, sex, race, risk score, and baseline health utilization rate, Medicaid participants in the high contact group had 42% (rate ratio (RR): 1.42; 95% CI: 1.08-1.86) and 64% (RR: 1.64; 95% CI: 1.08-2.48) higher risks for hospital admission and readmission, respectively, than the low contact group. Similar increases were seen in the Medicare participants with 20% (RR: 1.20; 95% 1.02-1.42) and 42% (RR:1.42; 95% 1.09-1.84) higher risks for admission and readmission, respectively. The associations were not statistically significant for ED visits. Subsidiary analysis of a subset with HbA1c available (nâ¯=â¯545) revealed a statistically significant decrease in HbA1c among Medicare participants (mean (SD): -0.17% (1.50%)), with a larger decrease in the high contact group (mean (SD): -0.23% (1.59%)). CONCLUSION: In an all-condition case management program for high-risk patients, the higher intensity of contacts with CHW and CM was not associated with a reduced health care utilization in adults with diabetes.