A path model analysis on predictors of dropout (at 6 and 12 months) during the weight loss interventions in endocrinology outpatient division

Abstract

Introduction

This study aimed to identify the dropout rate at 6 and 12 months from the first outpatient visit, and to analyze dropout risk factors among the following areas: biochemical examinations, anthropometric measures, psychological tests, personal data, and life attitude such as smoking, physical activity, and pathologies.

Methods

This is a retrospective longitudinal observational study. Patients undergo an outpatient endocrinology visit, which includes collecting biographical data, anthropometric measurements, physical and pathological history, psychological tests, and biochemical examinations.

Results

The sample consists of 913 subjects (682 women and 231 men), with an average age of 50.88 years (±15.80) for the total sample, with a BMI of 33.11 ± 5.65 kg/m².

51.9% of the patients abandoned therapy at 6 months after their first visit, and analyzing the dropout rate at 12 months, it appears that 69.5% of subjects abandon therapy. The main predictor of dropout risk factors at 6 and 12 months is the weight loss during the first 3 months (p < 0.05). As regards the hematological predictors, white blood cell and iron level stated dropout at 12 months. Patients who introduced physical activity had a reduction of – 17% (at 6 months) and −13% (at 12 months) of dropout risk (p < 0.05). As regards the "worker" status, patients classified as"retired" had a decrease risk of dropout vs. other categories of worker (i = 0.58; p < 0.05). Dropout risk at 12 months decrease in patients with a previous history of cancer, Endocrine and psychic and behavioral disorders (p < 0.001).

Conclusions

The main factor that predisposes patients to continue therapy or to abandon it is the success (or failure) of the diet in the initial period, based on weight lost (or not lost) in the early months of the initiation of therapy. Furthermore, considerable differences were found in different categories of "workers", and with previous "pathologies". The level of physical activity and previous diseases also seem to be predictors of dropout.

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