Evidence map›Paper›PMID 37880463›Full record

Observational studyObesity surgery2023

Lifestyle Patterns in the Late Postoperative Period of Bariatric Surgery: a Descriptive Analysis of the CINTO Study.

Larissa de O Alencar, Sara A Silva, Lara P S L Borges, Teresa Helena M da Costa, Kênia M B de Carvalho

Abstract readObservational Study
PubMed Publisher
In one paragraph

Observational study in Obesity surgery, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Larissa de O AlencarDepartment of Nutrition, University of Brasília, Brasília, Brazil.
Sara A SilvaGraduate Program of Human Nutrition, Faculty of Health Sciences, University of Brasília, Campus Universitario Darcy Ribeiro, Brasília, Federal District, 70910-900, Brazil.
Lara P S L BorgesGraduate Program of Human Nutrition, Faculty of Health Sciences, University of Brasília, Campus Universitario Darcy Ribeiro, Brasília, Federal District, 70910-900, Brazil.
Teresa Helena M da CostaGraduate Program of Human Nutrition, Faculty of Health Sciences, University of Brasília, Campus Universitario Darcy Ribeiro, Brasília, Federal District, 70910-900, Brazil.
Kênia M B de CarvalhoGraduate Program of Human Nutrition, Faculty of Health Sciences, University of Brasília, Campus Universitario Darcy Ribeiro, Brasília, Federal District, 70910-900, Brazil. kenia@unb.br.ORCID 0000-0003-2799-1038

Funding

Conselho Nacional de Desenvolvimento Científico e Tecnológico 408340/2017-7
6 · The paper itself

Abstract

backgroundThe behavior of patients undergoing metabolic bariatric surgery (MBS) has been widely investigated to better understand their attitudes and to formulate effective advisory strategies. Although these elements have been studied separately, the magnitude of these behaviors still needs to be determined from a combined factors approach. This study aimed to identify the lifestyle patterns of patients who underwent MBS 5 or more years ago.

methodsIn this observational study, 123 patients who underwent MBS at least 5 years ago were included. Anthropometric data, sociodemographic profile, dietary intake, physical activity level, sleeping, smoking, and alcohol consumption were collected for all participants. Lifestyle pattern was evaluated using principal component analysis (PCA) and the Kaiser-Meyer-Olkin (KMO) index was applied to evaluate data factorability.

resultsPCA identified two patterns of behavior adopted by the participants in the late postoperative (PO) period (more than 5 years PO) of MBS. In the first pattern, a positive correlation was found between consumption of ultra-processed foods (r = 0.459), risky consumption of alcoholic beverages (r = 0.630), and tobacco use (r = 0.584). In the second, a positive correlation was observed between the consumption of unprocessed or minimally processed foods (r = 0.692) and more sleep time per day (r = 0.654).

conclusionAfter 5 years of PO, combined behavior analysis revealed healthy and unhealthy lifestyle patterns, which points to the relevance of permanent clinical follow-up of these patients to ensure the best health status.

Indexed as

Bariatric SurgeryObesity, MorbidEatingFeeding BehaviorHumansLife StylePostoperative PeriodBariatric metabolic surgeryHealth careHealthy lifestylePCA analysis

Identifiers

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.