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1.
J Pediatr Adolesc Gynecol ; 30(2): 199-202, 2017 Apr.
Article in English | MEDLINE | ID: mdl-27693647

ABSTRACT

STUDY OBJECTIVE: In the literature about primary dysmenorrhea (PD), either a pain gradient has been studied just in women with PD or pain was assessed as a binary variable (presence or absence). Accordingly, we decided to carry out a study in young women to determine possible factors associated with intense pain. DESIGN: A cross-sectional observational study. SETTING: A Spanish University in 2016. PARTICIPANTS: A total of 306 women, aged 18-30 years. INTERVENTIONS: A questionnaire was filled in by the participants to assess associated factors with dysmenorrhoea. MAIN OUTCOME MEASURES: Our outcome measure was the Andersch and Milsom scale (grade from 0 to 3). DEFINITION: grade 0 (menstruation is not painful and daily activity is unaffected), grade 1 (menstruation is painful but seldom inhibits normal activity, analgesics are seldom required, and mild pain), grade 2 (daily activity affected, analgesics required and give relief so that absence from work or school is unusual, and moderate pain), and grade 3 (activity clearly inhibited, poor effect of analgesics, vegetative symptoms and severe pain). RESULTS: Factors significantly associated with more extreme pain: a higher menstrual flow (odds ratio [OR], 2.11; P < .001), a worse quality of life (OR, 0.97; P < .001) and use of medication for PD (OR, 8.22; P < .001). CONCLUSION: We determined factors associated with extreme pain in PD in a novel way. Further studies are required to corroborate our results.


Subject(s)
Dysmenorrhea/psychology , Menstruation/psychology , Pain Measurement/methods , Pelvic Pain/psychology , Activities of Daily Living , Adolescent , Adult , Analgesics/therapeutic use , Cross-Sectional Studies , Dysmenorrhea/drug therapy , Female , Humans , Logistic Models , Pelvic Pain/etiology , Quality of Life , Risk Factors , Surveys and Questionnaires , Universities , Young Adult
2.
Br J Gen Pract ; 65(636): e454-9, 2015 Jul.
Article in English | MEDLINE | ID: mdl-26120135

ABSTRACT

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.


Subject(s)
Cardiovascular Diseases/diagnosis , Diagnostic Techniques, Cardiovascular , Obesity/complications , Primary Health Care/statistics & numerical data , Adult , Age Factors , Aged , Body Mass Index , Cardiovascular Diseases/epidemiology , Cardiovascular Diseases/etiology , Cross-Sectional Studies , Female , Humans , Male , Middle Aged , Obesity/diagnosis , Obesity/epidemiology , Odds Ratio , Prevalence , Reproducibility of Results , Retrospective Studies , Risk Assessment , Risk Factors , Sex Factors , Spain/epidemiology
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