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1.
Afr Health Sci ; 20(2): 903-911, 2020 Jun.
Article in English | MEDLINE | ID: mdl-33163058

ABSTRACT

BACKGROUND: As Kenya continues to experience rapid development and urbanization, growing evidence shows an increasing prevalence of non-communicable diseases (NCDs) and overweight and obese citizens. OBJECTIVES: This study sought to explore the extent to which Kenyan overweight and obese participants reported receiving advice from physicians or health care providers to lose weight and to identify demographic characteristics associated with receipt of weight loss advice. METHODS: Descriptive statistics analyzed sociodemographic characteristics and weight loss advice from the 2015 Kenya WHO STEPwise survey (n = 1335). A bivariate logistic regression model estimated the association between socio-demographic characteristics and weight loss advice reported from a physician or health care provider. RESULTS: The prevalence of weight loss advice from health professionals among overweight and obese participants was 19%. Model results indicated that obese individuals [odds ratio (OR) = 2.11, 95% confidence interval (CI) (1.36, 3.26)], individuals with higher than a secondary education [OR = 2.26, 95% CI (1.39, 3.68)], urban dwellers [OR = 2.38, 95% CI (1.29, 4.39)], and women [OR = 3.13, 95% CI (1.60, 6.12)] were significantly more likely to receive weight loss advice from their physician or health care provider. CONCLUSION: This study found low levels of report of physician or health care provider advice for weight loss among overweight individuals. Advice was primarily reported by obese patients. Weight loss advice differed significantly based on educational attainment, geographical location, and gender thus calling for targeted interventions to increase equitable NCD prevention services from physicians.


Subject(s)
Counseling/statistics & numerical data , Obesity/epidemiology , Overweight/epidemiology , Weight Loss , Adult , Aged , Cross-Sectional Studies , Female , Humans , Kenya/epidemiology , Male , Middle Aged , Obesity/prevention & control , Obesity/psychology , Overweight/prevention & control , Overweight/psychology , Physician-Patient Relations , Primary Health Care/organization & administration
2.
PLoS One ; 14(8): e0221257, 2019.
Article in English | MEDLINE | ID: mdl-31425539

ABSTRACT

INTRODUCTION: Cardiovascular disease is among the leading causes of death in Kenya and type II diabetes (T2D) is a growing chronic health concern in the country. However, a gap exists in examining how demographic and social characteristics coalesce to identify individuals at high risk for hypertension and/or T2D in Kenya. The current study examined demographic typologies associated with self-report diagnoses. METHODS: Nationally representative cross-sectional study using 43,898 individuals from the Kenya Demographic and Health Survey 2014. Main Outcome Measures were self-reported Hypertension and Type 2 Diabetes diagnosis. Descriptive analyses were conducted using STATA 14. Latent class analysis (LCA) was conducted using Mplus 7.4. RESULTS: Approximately 5% reported hypertension and 1% reported T2D. Latent class analysis suggested a 4-class solution. The class with the highest likelihood to report previous diagnosis of hypertension (10.4%), consisted of high proportion of married adult women. The second highest prevalence of previous diagnosis of hypertension (4.4%) consisted of a high proportion of married middle aged men with high probability of being smokers. The results suggest that Kenyan women over 30 years may be at increased risk of hypertension compared to men. Future studies should include additional socio-demographic and behavioral characteristics to better understand gender differences in correlates for hypertension to be used for targeted and tailored health promotion-interventions.


Subject(s)
Diabetes Mellitus, Type 2/epidemiology , Health Surveys/statistics & numerical data , Hypertension/epidemiology , Social Determinants of Health/statistics & numerical data , Adolescent , Adult , Cross-Sectional Studies , Female , Humans , Kenya/epidemiology , Latent Class Analysis , Male , Marriage/statistics & numerical data , Middle Aged , Prevalence , Risk Factors , Self Report/statistics & numerical data , Sex Factors , Young Adult
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