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1.
Am Surg ; 76(10): 1115-8, 2010 Oct.
Artigo em Inglês | MEDLINE | ID: mdl-21105623

RESUMO

Chronic postoperative pain has been associated with mesh repair in meta-analysis of clinical trials. We compared the incidence of early complications, recurrence, and chronic pain syndrome in anatomic and mesh repairs in 200 patients. We defined chronic pain syndrome as pain in the inguinal area more than 3 months after inguinal hernia repair, patient referral to pain management, or necessity of a secondary procedure for pain control. The mean follow-up time was 4 years and 2 months for anatomic repair and 3 years and 7 months for mesh repair. The clinical outcomes did not reveal a significant disparity between the 100 consecutive patients who had mesh repair versus the 100 patients who had anatomic repair with regard to the incidence of superficial wound infection (0 vs. 2%, P = 0.497), testicular swelling (12 vs. 7%, P = 0.335), hematoma (1 vs. 0%, P = 0.99), recurrence (3 vs. 2%, P = 0.99), or chronic postoperative pain (4 vs. 1%, P = 0.369). The anatomic procedure without mesh should continue to be offered to patients who have an initial inguinal hernia repair.


Assuntos
Hérnia Inguinal/cirurgia , Dor Pós-Operatória/epidemiologia , Doença Crônica , Feminino , Humanos , Masculino , Pessoa de Meia-Idade , Recidiva , Telas Cirúrgicas , Síndrome
2.
J Subst Abuse Treat ; 86: 70-77, 2018 03.
Artigo em Inglês | MEDLINE | ID: mdl-29415854

RESUMO

BACKGROUND: While the number of older adults who engage in unhealthy drinking is increasing, few studies have examined the role of online alcohol screening and intervention tools for this population. The objective of this study was to describe characteristics of drinking behaviors among older adults who visited an alcohol screening and intervention website, and compare them to younger adults. METHODS: We analyzed the responses of visitors to Alcoholscreening.org in 2013 (n=94,221). The prevalence of unhealthy alcohol use, behavioral change characteristics, and barriers to changing drinking were reported by age group (ages 21-49, 50-65, 66-80). Logistic regression models were used to identify characteristics associated with receiving a plan to either help cut back or quit drinking. RESULTS: Of the entire study sample, 83% of respondents reported unhealthy drinking (exceeding daily or weekly recommended limits) with 84% among 21-49year olds, 79% among 50-65year olds, and 85% among adults over 65. Older adults reported fewer negative aspects of drinking, lower importance to change, highest confidence and fewer barriers to change, compared to younger adults. In the adjusted model, females (AOR=1.45, p<0.001) and older adults (AOR=1.55, p<0.002) were more likely to receive a plan to change drinking behaviors. DISCUSSION: An online screening and intervention tool identified many older adults with unhealthy alcohol use behaviors and most were receptive to change. Web-based screening and interventions for alcohol use have the potential to be widely used among older adults.


Assuntos
Transtornos Relacionados ao Uso de Álcool/epidemiologia , Educação em Saúde , Inquéritos e Questionários , Adolescente , Adulto , Fatores Etários , Idoso , Idoso de 80 Anos ou mais , Transtornos Relacionados ao Uso de Álcool/etiologia , Transtornos Relacionados ao Uso de Álcool/prevenção & controle , Feminino , Humanos , Internet , Modelos Logísticos , Masculino , Pessoa de Meia-Idade , Prevalência , Estados Unidos/epidemiologia , Adulto Jovem
3.
J Obes ; 2012: 195251, 2012.
Artigo em Inglês | MEDLINE | ID: mdl-22315671

RESUMO

Factors postulated to predict weight loss after gastric bypass surgery, include race, age, gender, technique, height, and initial weight. This paper contained 1551 gastric bypass patients (85.9% female). Operations were performed by one surgeon (MLO) at community hospitals in Southern California from 1989 to 2008 with 314 being laparoscopic and 1237 open. We created the following equation: In[percent weight] = At(2) - Bt, where t was the time after operation (days) and A and B are constants. Analysis was completed on R-software. The model fits with R(2) value 0.93 and gives patients a realistic mean target weight with a confidence interval of 95% for the first year. Conclusion. We created a curve predicting weight loss after surgery as a percentage of initial weight. Initial weight was the single most important predictor of weight loss after surgery. Other recorded variables accounted for less than 1% of variability. Unknown factors account for the remaining 6-7%.

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