Prevalence of metabolic syndrome and components in rural, semi-urban and urban areas in the littoral region in Cameroon: impact of physical activity.

BACKGROUND: Living areas in developing countries impact seriously lifestyle by modifying energy consumption and energy expenditure. Thus, urbanization is associated with less practice of physical activity (PA), a leading cause of metabolic syndrome (MetS) which prevalence vary in African countries. The present study aimed to assess the effect of PA on MetS according to urbanization level in the littoral region, Cameroon. METHODS: A cross-sectional study was conducted in three geographical settings (urban, semi-urban, and rural) in the littoral region in Cameroon. A total of 879 participants were included (urban: 372, semi-urban: 195 and rural: 312). MetS was defined according to the International Federation of Diabetes 2009. The level of PA was assessed using the Global Physical Activity questionnaire. RESULTS: Low level of PA was (P < 0.0001) reported in urban (54.5%), semi-urban (28.7%) and rural (16.9%) and high level in rural area (77.9%). The prevalence of MetS was higher in urban areas (37.2%), then rural (36.8%) and finally semi-urban (25.9%). Hyperglycemia (p = 0.0110), low HDL-c (p < 0.0001) and high triglyceridemia (p = 0.0068) were most prevalent in urban residents. Participants with low level of PA were at risk of MetS (OR: 1.751, 95% CI 1.335-2.731, p = 0.001), hyperglycemia (OR: 1.909, 95% CI 1.335-2.731, p = 0.0004) abdominal obesity(OR: 2.007, 95% CI 1.389-2.900, p = 0.0002), low HDL-c (OR: 1.539, 95% CI 1.088-2.179, p = 0.014) and those with moderate level of PA were protected against high blood pressure(OR: 0.452, 95% CI 0.298-0.686, p = 0.0002) and compared to those with high level of PA. Urban dwellers were at the risk of MetS compared to rural residents (OR: 1.708, 95% CI. 1.277-2.285, p = 0.003) and protected against high blood pressure (OR:0.314, 95% CI 0.212-0.466, p < 0.0001), abdominal obesity (OR: 0.570, 95% CI 0.409-0.794, p = 0.0009), and low HDL-c (OR: 0.725, 95% CI 0.534-0.983, p = 0.038) compared to rural residents. CONCLUSIONS: MetS was more prevalent in urban dwellers and was associated with a low level of PA.

Prevalence of musculoskeletal disorders among taxi drivers in Yaoundé, Cameroon: preventive effect of physical activity.

BACKGROUND: Musculoskeletal Disorders (MSDs) are very common conditions in the workplace. Among professional drivers, there would be an increased risk of developing these disorders. Identifying the associated factors would allow us to better devise effective prevention strategies. Our objective was to determine the prevalence of MSDs among taxi drivers in the city of Yaoundé and to search for associated factors, mainly the level of physical activity. METHODS: We conducted an analytical cross-sectional study of 151 adult male professional taxi drivers. We used a non-probabilistic consecutive and non-exhaustive sampling method. Sociodemographic, anthropometric and occupational data were collected. MSDs over the past 12 months were assessed using the Nordic Questionnaire and physical activity level was determined by the World Health Organization (WHO) Global Physical Activity Questionnaire (GPAQ). Univariate logistic regression models, followed by a multivariate logistic regression, were used to determine factors associated with the presence of MSDs. RESULTS: The overall prevalence of MSDs was 86.8% (95% CI 80.8 - 91.4); the most affected areas were mainly the lower back (72.8%) the neck (42.4%), and the knees (29.1%). Job dissatisfaction was associated with MSDs (OR = 2.1 95%CI = 1.1-3.9). Most taxi drivers (62.9%) had a low physical activity level and no association was found between the physical activity level and MSDs. CONCLUSIONS: MSDs are common ailments among taxi drivers in Yaoundé (Cameroon). There is a need to think about how to address job dissatisfaction and better identify other associated factors in order to define good prevention strategies.

Effect of a 12-week training program on the anthropometric and physiological profiles of some participants registered in a fitness center in Douala, Cameroon.

Fitness centers are remarkably abundant in Cameroon. The aim of this work was to assess the effects of a 12-week training program on the anthropometric and physiological profiles of some participants in a fitness center. A total of 86 participants (40 from the experimental group and 46 from the control group) with age ranging from 17 to 53 years were subjected to pre- and posttraining assessments of, anthropometric parameters, physiological parameters, and performance. Anthropometric parameters (weight, height, body mass index [BMI], waist circumference [WC]) and blood pressure (diastolic blood pressure, systolic blood pressure [SBP]) were measured according to standard protocols. Heart rate was recorded using a heart rate monitor. Cardiorespiratory fitness (maximal oxygen uptake or VO2peak) was estimated by the 20-multistage shuttle run test. All the data was collected twice within 12 weeks. Weight, BMI, and WC did not show any significant variation (P>0.05) after a 12-week training program. VO2peak increase was insignificant (P>0.05) higher in men (7.5%, P=0.06), compared to women (5.4%, P=0.4). We noticed a significant reduction (P=0.002) in the SBP of men. Significant increase of HR max was found in women. There was an improvement of 13.7% in the VO2peak of the participants who did not consume alcohol. These results demonstrate the slight benefits of a 12-week training program on health. The weight characteristics of the participants and lifestyle may play an important role in these interactions.

Association of serum leptin and adiponectin with anthropomorphic indices of obesity, blood lipids and insulin resistance in a Sub-Saharan African population.

BACKGROUND: There is little data on the metabolic effects of adipokines in sub-Saharan African populations. This study aimed to explore the potential relationship of leptin and adiponectin, with obesity, plasma lipids and insulin resistance in a Cameroonian population. METHODS: We enrolled 167 men and 309 women aged ≥18 years from the general population in Cameroon. Data were collected on waist circumference (WC), body mass index (BMI), waist-to-hip ratio (WHR), body fat (BF%), fasting blood glucose, plasma lipids, adiponectin, leptin, insulin and homeostasis model for assessment of insulin resistance (HOMA-IR). Pearson's correlation and multiple stepwise linear regression analyses were used to determine correlates of leptin and adiponectin serum levels. RESULTS: The prevalence of obesity was higher in women compared to men (p < 0.0001), and Central obesity which is more prevalent particularly in women (WC = 42.4%, WHR = 42.3%), is almost for 90% comparable to %BF (42.7%). Adiponectin negatively with BMI (r = -0.294, p < 0.0001), WC (r = -0.294, p < 0.0001), %BF (r = -0.122, p = 0.028), WHR (r = -0.143, p = 0.009), triglycerides (r = -0.141, p = 0.011), HOMA-IR (r = -0.145, p = 0.027) and insulin (r = -0.130, p = 0.048). Leptin positively correlated with BMI (r = 0.628), WC (r = 0.530), BF% (r = 0.720), (all p < 0.0001); with DBP (r = 0.112, p = 0.043), total cholesterol (r = 0.324, p < 0.0001), LDL-cholesterol (r = 0.298, p < 0.0001), insulin (r = 0.320, p < 0.001 and HOMA-IR (r = 0.272, p < 0.0001). In multiple stepwise regression analysis, adiponectin was negatively associated with WC (ß = -0.38, p = 0.001) and BF% (ß = 0.33, p < 0.0001), while leptin was positively associated with BF% (ß = 0.60, p < 0.0001), total cholesterol (ß = 0.11, p = 0.02) and HOMA-IR (ß = 0.11, p = 0.02). When controlled for gender, HOMA-IR was found significantly associated to adiponectin (ß = 0.13, p = 0.046), but not BF%, while the association previously found between leptin and HOMA-IR disappeared; BMI and WC were significantly associated with leptin (ß = 0.18, p = 0.04 & ß = 0.19, p = 0.02 respectively). CONCLUSION: This study, which includes a population who was not receiving potentially confounding medications, confirms the associations previously observed of adiponectin with reduced adiposity especially central adiposity and improved insulin sensitivity. Confirmatory associations were also observed between leptin and obesity, blood lipids and insulin resistance for the first time in an African population. Gender was significant covariate interacting with insulin sensitivity/insulin resistance and obesity indexes associations in this population.

Osteoprotegerin in relation to insulin resistance and blood lipids in sub-Saharan African women with and without abdominal obesity.

BACKGROUND: Osteoprotegerin (OPG), a soluble member of the tumor necrosis factor receptor superfamily that inhibits bone resorption, has been suggested as a potential marker of cardiovascular risk. This study aimed to assess the relationship between insulin resistance, lipid profile and OPG levels in obese and non-obese sub-Saharan African women. METHODS: Sixty obese (44) and non-obese (16) volunteer women aged 18 to 40 years were recruited in this cross-sectional study. Their clinical (age, height, weight, waist circumference, systolic and diastolic blood pressures) and biochemical parameters (fasting blood glucose, total cholesterol, high density lipoprotein-cholesterol (HDL-C)) were measured using standard methods. Insulin levels were measured using an electrochemiluminescence immunoassay, while OPG levels were measured using the ELISA technique. Low density lipoprotein-cholesterol (LDL-C), body mass index (BMI) and Homeostasis Model Assessment of Insulin Resistance (HOMA-IR) were calculated using standard methods. Abdominal obesity was defined as a waist circumference ≥ 80 cm. RESULTS: OPG levels were higher in obese than in normal subjects, though the difference was not significant (p = 0.9). BMI, waist circumference, percent body fat and systolic blood pressure were significantly higher in obese than in non-obese subjects (p < 0.05). In these subjects, only age significantly correlated with OPG levels (r = 0.831, p = 0.003), while none of the anthropometric nor metabolic parameter did, even after adjustment for age. In obese subjects, OPG levels fairly correlated with HDL-C (r = 0.298, p = 0.058), and significantly correlated with HOMA-IR (r = -0.438, p = 0.018). After adjustment for age, OPG levels remained negatively correlated to HOMA-IR (r = -0.516, p = 0.020) and LDL-C (r = -0.535, p = 0.015) and positively correlated to HDL-C (r = 0.615, p = 0.004). In multiple linear regression analysis, age was a main determinant of OPG levels in non-obese (ß = 0.647, p = 0.006) and obese (ß = 0.356, p = 0.044) women. HDL-C was also associated to OPG levels in obese women (ß = 0.535, p = 0.009). CONCLUSION: The positive correlation of OPG with HDL-C and HOMA-IR, and its negative correlation with LDL-C suggest that it may be a marker of insulin sensitivity/resistance and atherogenic risk in obese African women.

Osteoprotegerin is not a determinant of metabolic syndrome in sub-Saharan Africans after age adjustment.

OBJECTIVES: Osteoprotegerin (OPG), a soluble member of tumor necrosis factor receptor superfamily that inhibits bone resorption, has been suggested as a cardiovascular risk factor in humans. In this study, we aim to investigate the potential relationship between OPG and MetS (MetS) in a sub-Saharan African population. METHODS: Four hundred and eleven volunteers (152 men, 259 women) aged ≥18 years recruited from the general population in Douala and Edea, Cameroon participated in this study. Anthropometric parameters measured and blood samples were collected for glucose, serum lipids and OPG concentrations measurements. Mean differences of the variables in different groups were compared using Students' t test. We performed logistic regressions to analyze the impact of independent factors on the relation between OPG and MetS outcome. MetS was defined using the Joint Interim Statement 2009. RESULTS: OPG levels did not vary significantly between both men and women with and without MetS (both P>0.05). However, with high fasting blood glucose (≥5.6 mmol/L) had a significantly higher OPG level than those with lower glucose level (P=0.014). In multiple logistic regression analysis, MetS did not show any significant association with serum OPG levels in men and women after adjusting for age, physical activity, alcohol consumption and menopausal status in women (P=0.720 and P=0.930 respectively). CONCLUSION: This study failed to demonstrate any relationship between OPG and MetS. Nevertheless, the positive association between blood glucose and OPG levels reveals that OPG might be involved in cardiovascular risk development in this sub-Saharan African population.