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Transportation Factors and Postoperative Attendance and Weight Loss Through 24 Months.
Pratt, Keeley J; Miller, Harvey J; Hanks, Andrew S; Focht, Brian C; Noria, Sabrena; Brethauer, Stacy; Needleman, Bradley.
Afiliação
  • Pratt KJ; Department of Human Sciences, College of Education and Human Ecology, The Ohio State University, 1787 Neil Ave, Columbus, OH, 43210, USA. pratt.192@osu.edu.
  • Miller HJ; Department of General Surgery, College of Medicine, The Ohio State University Wexner Medical Center, Columbus, OH, 43210, USA. pratt.192@osu.edu.
  • Hanks AS; Department of Geography, Center for Urban and Regional Analysis, The Ohio State University, Columbus, OH, 43210, USA.
  • Focht BC; Department of Human Sciences, College of Education and Human Ecology, The Ohio State University, 1787 Neil Ave, Columbus, OH, 43210, USA.
  • Noria S; Department of Human Sciences, College of Education and Human Ecology, The Ohio State University, 1787 Neil Ave, Columbus, OH, 43210, USA.
  • Brethauer S; Department of Geography, Center for Urban and Regional Analysis, The Ohio State University, Columbus, OH, 43210, USA.
  • Needleman B; Department of Geography, Center for Urban and Regional Analysis, The Ohio State University, Columbus, OH, 43210, USA.
Obes Surg ; 34(1): 114-122, 2024 Jan.
Article em En | MEDLINE | ID: mdl-38015330
ABSTRACT

PURPOSE:

Transportation, access to follow-up care, and association with weight loss are understudied in the bariatric population. The objective of this study was to determine how transportation variables associate with postoperative attendance and weight loss through 24 months. MATERIALS AND

METHODS:

Seven hundred eighty-seven patients (81.3% female; 59.1% White) who had primary surgery (48.6% gastric bypass) from 2015 to 2019 were included. Sidewalk coverage and number of bus stops from patients' homes, driving distance in miles and minutes from patients' homes to the nearest bus stop and the clinic were measured. Bivariate analyses were conducted with the transportation variables and attendance and %TWL at 2 or 3, 6, 12, and 24 months. One mixed multilevel model was conducted with dependent variable %TWL over 24 months with visits as the between-subjects factor and covariates race, insurance, surgical procedure, and driving distance to the clinic in minutes, attendance, and %TWL over 24 months; an interaction between distance, attendance, and visits.

RESULTS:

There were no significant differences between the majority of the transportation variables and postoperative attendance or %TWL. Patients who had perfect attendance had improved %TWL at 12 months [t(534)=-1.92, p=0.056] and 24 months [t(393)=-2.69, p=0.008] compared to those who missed at least one appointment. Patients with perfect attendance and who had shorter driving times (under 20 min) to the clinic had greater weight loss through 24 months [F(10, 1607.50)=2.19, p=0.016)].

CONCLUSIONS:

Overall, transportation factors were not associated with attendance and weight loss, with the exception of the interaction between shorter driving minutes to follow-up and perfect attendance.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Obesidade Mórbida / Derivação Gástrica / Cirurgia Bariátrica Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Obesidade Mórbida / Derivação Gástrica / Cirurgia Bariátrica Idioma: En Ano de publicação: 2024 Tipo de documento: Article