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1.
Ghana Medical Journal ; 56(3): 206-214, )2022. Figures, Tables
Article in English | AIM | ID: biblio-1398796

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 patients


Subject(s)
Clinical Laboratory Information Systems , Diet, Reducing , Obesity , Patient Outcome Assessment , Epidemiological Models
2.
Article in English | AIM | ID: biblio-1257746

ABSTRACT

Background: The elderly comprise the fastest-expanding age group globally, with the greatest increase occurring in developing countries. Disease and deteriorating health are implicitly assumed to be associated with ageing, as chronic medical illnesses mostly present with increasing age. Objectives: To describe the morbidity pattern of elderly patients presenting at the General Outpatients Clinic of the University College Hospital, Ibadan, Nigeria. Method: This was a cross-sectional descriptive study of 500 elderly respondents who presented at the clinic between September 2004 and April 2005. They were interviewed according to the format of the electronic, second revision of the International Classification of Primary Care (ICPC-2-E) questionnaire. Main outcome measurements were the prevalence of various morbidities, self-reported health status and socio-demographic characteristics. Body mass index (BMI) was used to assess respondents' nutritional status. Results: Respondents were found to under-report their actual health problems. The mean ± s.d of self-reported health problems was 1.7 ± 0.9 (range 1­6), while the mean ± s.d of diagnosed morbidities was 2.7 ± 1.4 (range 1­8). The most prevalent morbidities were hypertension (40.0%), cataracts (39.4%) and osteoarthritis (26.8%). The prevalence of anaemia was 8.0%(females = 11.2%; males = 2.6%), and it was significantly associated with gender (p = 0.001). Nutritional status indicated a high prevalence of overweight and obesity (51.8%), which was significantly higher amongst the female respondents than the males (p = 0.001). Conclusion: The prevalence of chronic medical illnesses was high amongst the elderly in this setting. In addition, the elderly under-reported their actual health problems. The high prevalence of overweight and obesity amongst the elderly in this setting calls for public health action that advocates lifestyle changes to manage the health of the elderly


Subject(s)
Aged , Health Services for the Aged , Morbidity , Nigeria , Primary Health Care
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