Predictors of weight reduction in a Nigerian family practice setting
Ghana Medical Journal
; 56(3): 206-214, )2022. Figures, Tables
Article
в En
| AIM
| ID: biblio-1398796
Ответственная библиотека:
CG1.1
ABSTRACT
Objectives:
This study identified the predictors of weight reduction among adult obese patients in a Family Practice Setting and developed a statistical model to predict weight reduction.Design:
A prospective cohort design.Setting:
The Family Practice Clinic, University College Hospital, Ibadan, Nigeria Participants and study tools Obese adults were recruited into a three-month weight reduction program. Patient Information Leaflets were used for counselling, while questionnaires were administered to obtain socio-demographic and lifestyle factors. Potential predictors were assessed using the Multidimensional Scale of Perceived Social Support, Zung Depression Scale, Rosenberg Self-Esteem scale, Garner's Eating Attitude Test-26 (EAT-26), 24-hour dietary recall and International Physical Activity Questionnaire-short form. Anthropometric indices, blood pressure and Fasting Lipid Profile were assessed. Descriptive and inferential statistics were used for analysis with a significance set at α0.05.Results:
Most 99(76.2%) of the 130 participants achieved weight reduction and had a median weight change of -2.3kg (IQR-4, -0.5), with 66 (66.7%) out of 99 attaining the weight reduction target of 10%. The regression model showed predictors of weight reduction to be Total Cholesterol [TC] (p=0.01) and Low-Density Lipoprotein Cholesterol [LDLC] (p=0.03). The statistical model derived for Weight reduction = 0.0028 (LDL-C) -0.029 (TC)-0.053 (EAT-26) +0.041(High-Density Lipoprotein Cholesterol). The proportion of variance of the model tested was R 2 = 0.3928 (adjusted R2 = 0.2106).Conclusion:
Predictors of weight reduction among patients were eating attitude score, Total Cholesterol, Low-Density Lipid and High-Density Lipoprotein Cholesterol levels. A statistical model was developed for managing obesity among patientsKey words
Полный текст:
1
База данных:
AIM
Основная тема:
Clinical Laboratory Information Systems
/
Diet, Reducing
/
Obesity
Тип исследования:
Prognostic_studies
/
Risk_factors_studies
Язык:
En
Журнал:
Ghana Medical Journal
Год:
2022
Тип:
Article