Development and validation of body fat percent prediction equation for screening obesity in adults.

BACKGROUND: In Ethiopia, use of advanced body composition measurement methods may not be feasible due cost and unavailability of the facilities. This study developed and validated body fat percent prediction equation for adults using locally appropriate data. METHODS: The study was conducted from February to April 2015 among 704 randomly selected adult employees of Jimma University. The total sample was spilt and randomly assigned to a training (n = 352) sample used for developing Ethiopian body fat percent (BF%) prediction equation and a testing (validation) sample (n = 352) used for determining the validity of the equation. A multivariable linear regression model was used to develop BF% prediction equation on the training sample using Air displacement Plethysmography (ADP) measured BF% as dependent variable and age, sex and body mass index as predictor variables. For the testing (validation) sample, BF% measured using ADP and the one predicted using the newly developed Ethiopian and Caucasian BF% prediction equations were compared using validity measures, Kappa statistics and agreement between the two measures was determined using Bland Altman plot. RESULTS: A multivariable linear regression model run on the testing population showed that age, sex and BMI were significant predictors of ADP measured BF%. Accordingly, the BF% prediction equation of Ethiopian adults was generated as follows: BF% = -8.601 + BMI (1.521) + Age (0.243) + Sex (-10.568), where sex = 1 for males and 0 for females. Comparison of measured and predicted BF% showed that there was no significant (P = 0.932) difference between ADP measured BF% and BF% predicted using Ethiopian equation with a mean (±SD) difference of 0.03 (±5.44). Conversely, there was a significant difference (<0.0001) between ADP measured BF% and the Caucasian Equation estimated BF% with a mean (±SD) of 6.83 (±5.57). In both males and females, the Ethiopian equation demonstrated a very good to excellent sensitivity, specificity, positive predictive value and negative predictive values. Conversely, the Caucasian equation had poor sensitivity and negative predictive values, while it demonstrated an excellent specificity and positive predictive value. Likewise, there was a substantial Kappa agreement for males (K = 0.741) and for females (K = 0.720) between Ethiopian equation and ADP in diagnosing obesity among males based on BF%, while there was a slight Kappa agreement for males (K = 0.156) and a fair Kappa agreement for females (K = 0.365) between Caucasian equation and ADP (P < 0.001). Bland Altman plot showed a good agreement between ADP measured BF% for the Ethiopian Equation and not for the Caucasian equation. It was observed that the Ethiopian equation has a better prediction of BF% when compared to the measured one, but the Caucasian equation consistently underestimated BF% for all samples with different levels BF%. CONCLUSION: The new Ethiopian BF% prediction equation performed very well in predicting BF% in the testing population in terms of validity measures, Kappa agreement and Bland Altman plot; while the Caucasian equation significantly underestimated body fat percent among Ethiopian adults. The results imply that the new Ethiopian equation can be used as a cost effective and user friendly screening method for early detection of obesity for the prevention of associated morbidity and mortality in Ethiopian adults.

Ethnic Specific body fat percent prediction equation as surrogate marker of obesity in Ethiopian adults.

BACKGROUND: Application of advanced body composition measurement methods is not practical in developing countries context due to cost and unavailability of facilities. This study generated ethnic specific body fat percent prediction equation for Ethiopian adults using appropriate data. METHODS: A cross-sectional study was carried ifrom February to April 2015 among 704 randomly selected adult employees of Jimma University. Ethnic specific Ethiopian body fat percent (BF%) prediction equation was developed using a multivariable linear regression model with measured BF% as dependent variable and age, sex, and body mass index as predictor variables. Agreement between fat percent measured using air displacement plethysmography and body fat percent estimated using Caucasian prediction equations was determined using Bland Altman plot. RESULTS: Comparison of ADP measured and predicted BF% showed that Caucasian prediction equation underestimated body fat percent among Ethiopian adults by 6.78% (P < 0.0001). This finding is consistent across all age groups and ethnicities in both sexes. Bland Altman plot did not show agreement between ADP and Caucasian prediction equation (mean difference = 6.7825) and some of the points are outside 95% confidence interval. The caucasian prediction equation significantly underestimates body fat percent in Ethiopian adults, which is consistent across all ethnic groups in the sample. The study developed Ethnic specific BF% prediction equations for Ethiopian adults. CONCLUSION: The Caucasian prediction equation significantly underestimates body fat percent among Ethiopian adults regardless of ethnicity. Ethiopian ethnic-specific prediction equation can be used as a very simple, cheap, and cost-effective alternative for estimating body fat percent among Ethiopian adults for health care provision in the prevention of obesity and related morbidities and for research purposes.

Utilization of non-pneumatic anti-shock garment and associated factors for postpartum hemorrhage management among health care professionals' in public hospitals of Jimma zone, south-West Ethiopia, 2019.

BACKGROUND: Non- pneumatic anti-shock garment is a unique, life -saving first -aid device made of neoprene and velcro, which is used for treatment of women with postpartum hemorrhage. Maternal mortality in the world still very high and postpartum hemorrhage is the leading cause of maternal mortality worldwide. OBJECTIVE: This study was aimed to assess the utilization of non-pneumatic anti-shock garment and associated factors for postpartum hemorrhage management. METHODS: Facility based cross-sectional studies design both quantitative and qualitative data collection methods were employed among 210 health care professionals and 10 key informants respectively. Bivariable and multivariable logistic regression was done to identify factors associated with non-pneumatic anti-shock garment utilization. Qualitative data was transcribed, translated and triangulated with quantitative findings. RESULTS: Seventy six (36.2%) of the respondents used non-pneumatic anti-shock garment in their hospitals for management of post-partum hemorrhage. Having good knowledge [(AOR = 3.96, 95% CI: (1.67, 9.407)], having positive attitude [(AOR = 3.54, 95% CI: (1.37, 9.13)], attending training [AOR = 13.156, 95% CI: (4.81, 36.00], having two and above non-pneumatic anti-shock garment at their hospitals [AOR = 8.7, 95% CI: (2.89, 26.20)] were significantly associated with utilization of non-pneumatic anti-shock garment. … "I didn't use non-pneumatic anti-shock garment for the management of postpartum hemorrhage complication before because I have no training and experience how to use it." CONCLUSION: The utilization of non-pneumatic anti-shock garment for the management of postpartum hemorrhage was low. Having positive attitude, having good knowledge and training on non-pneumatic anti-shock garment were statically associated with its use. The health care professionals that involved in the maternity service should be trained on how to use this important garment in the management of postpartum hemorrhage.

Metabolic Effects of Fasting and Animal Source Food Avoidance in an Ethiopian Adult Cohort.

Fasting is a religious practice to which the faithful comply strictly. The longest period of fasting in Orthodox religion is the lent (in Ethiopia known as "Hudade"). According to the doctrine of Ethiopian Orthodox Christianity, fasters should strictly avoid all animal source foods (ASF) and skip breakfast at least up to lunch time. This can be taken as a well-controlled natural experiment to evaluate the effect of breakfast skipping and avoidance of ASF for 55 days. However, there is no study that evaluated the effect of ASF fasting (avoidance of animal source foods  and breakfast skipping) on lipid profiles, fasting blood sugar and body composition in Ethiopian set up. A retrospective cohort study was carried out among 704 employees of Jimma University (253 fasters and 451 non-fasters) from February 2015 to April 2015. Data on socio-demographic, anthropometry, blood pressure and blood samples were collected according to WHO STEPS procedure. Descriptive statistics and multivariable linear regression models were used to compare the effect of fasting on outcome variables. There was a significant difference in the body fat percent (mean ± sd) between non-fasters (32.35 ± 11.12) and fasters (30.59 ± 11.22, P = 0.045). Similarly, the mean ± sd waist circumference was higher among non-fasters (84.96 ± 11.43 cm) compared to fasters (83.04 ± 11.43 cm, P < 0.033). High density lipoprotein was significantly (P = 0.001) high among fasters (68.29 mg/dl) compared to non-fasters (57.24 mg/dl). Total cholesterol (T.chol) was also higher among non- fasters (181.01 mg/dl) than fasters (173.80 mg/dl, P = 0.035). The mean Triglyceride level was significantly (P = 0.035) high among non-fasters (142.76 mg/dl) compared to fasters (129.39 mg/dl). Similarly, fasting blood sugar was high among non-fasters (100.14 mg/dl) compared to fasters (95.11 mg/dl), P = 0.009. On multivariable linear regression analyses after adjusting for different variables, fasters had a significantly high mean HDL and lower mean T.chol, Triglycerides, FBS and LDL levels. Similarly, fasters had a significantly low mean waist circumference and low mean body fat percent (P < 0.05). In conclusion, animal source food avoidanceand breakfast skipping has a significant desirable health effects on lipid profiles, fasting blood sugar and body composition. The findings imply the need for considering such a dietary practice as a basis for public health promotion. Future research should investigate the effect of ASF fasting and breakfast skipping on micronutrient intake and determine the minimum number of days of fasting required to generate clinically significant effects.

Performance of newly developed body mass index cut-off for diagnosing obesity among Ethiopian adults.

BACKGROUND: Obesity is defined as unhealthy excess body fat, which increases the risk of premature mortality from noncommunicable diseases. Early screening and prevention of obesity is critical for averting associated morbidity, disability, and mortality. Ethiopia has been using the international (WHO's) BMI cut-off for diagnosing obesity even though its validity among Ethiopian population was questioned. To address this problem, a new body mass index cut-off was developed for Ethiopian adults using population-specific data. However, its performance in diagnosing obesity has not been validated. Therefore, this study determined the performance of the newly developed Ethiopian and World Health Organization (WHO) BMI cut-offs in detecting obesity among Ethiopian adults. METHODS: A cross-sectional study was carried out among 704 employees of Jimma University from February to April 2015. The study participants were selected using simple random sampling technique based on their payroll. Data on sociodemographic variables were collected using an interviewer-administered structured questionnaire. Anthropometric parameters including body weight and height were measured according to WHO recommendation. Body fat percentage (BF%) was measured using the air displacement plethysmography (ADP) after calibration of the machine. The diagnostic accuracy of the WHO BMI cut-off (≥ 30 kg/m2) for obesity in both sexes and Ethiopian BMI cut-off (> 22.2 kg/m2 for males and >  24.5 kg/m2 for females) were compared to obesity diagnosed using ADP measured body fat percentage (> 35% for females and >  25% for males). Sensitivity, specificity, predictive values, and kappa agreements were determined to validate the performance of the BMI cut-offs. RESULTS: In males, WHO BMI cut-off has a sensitivity of 5.3% and specificity of 99.4% (Kappa = 0.047) indicating a slight agreement. However, the Ethiopian cut-off showed a sensitivity of 87.5% and specificity of 87.7% (Kappa = 0.752) indicating a substantial agreement. Similarly, in females, the WHO BMI cut-off showed a sensitivity of 46.9%, while its specificity was 100% (Kappa = 0.219) showing a fair agreement. The Ethiopian BMI cut-off demonstrated a sensitivity 80.0% and a specificity 95.6% (Kappa = 0.701) showing a substantial agreement. The WHO BMI cut-off underestimated the prevalence of obesity by a maximum of 73.7% and by a minimum of 28.3% among males, while the values for underestimation ranged from 31.4-54.1% in females. The misclassification was minimal using the newly developed Ethiopian BMI cut-off. The prevalence of obesity was underestimated by a maximum of 9.2% and overestimated by a maximum of 6.2%. The WHO BMI cut-off failed to identify nearly half (46.6%) of Ethiopian adults who met the criteria for obesity using BF% in the overall sample. CONCLUSIONS: The findings suggest that WHO BMI cut-off (≥ 30 kg/m2) is not appropriate for screening obesity among Ethiopian adults. The newly developed Ethiopian BMI cut-off showed a better performance with excellent sensitivity, specificity, predictive values, and agreement indicating the diagnostic significance of it use as a simple, cost-effective, and valid indicator in clinical and community setups.

Optimal cut-off for obesity and markers of metabolic syndrome for Ethiopian adults.

BACKGROUND: Metabolic syndrome (MetS) is defined as the presence of central obesity plus any two of the following markers: high triglycerides (> 150 mg/dl), low high density lipoprotein (HDL) cholesterol < 40 mg/dl in men and < 50 mg/dl in women, hypertension (blood pressure > 130/85 mmHg or use of antihypertensive medication), high fasting blood glucose (> 100 mg/dl or use of treatment for diabetes mellitus). Since recently, metabolic syndrome and obesity have become emerging problems of both low and middle income countries, although they have been the leading cause of morbidity and mortality in high income countries for the past decades. It has been indicated that the international anthropometric cut-off for detecting obesity is not appropriate for Ethiopians. This study developed optimal cut off values for anthropometric indicators of obesity and markers of metabolic syndrome for Ethiopian adults to enhance preventive interventions. METHODS: A total of 704 employees of Jimma University were randomly selected using their payroll as a sampling frame. Data on socio-demographic, anthropometry, clinical and blood samples were collected from February to April 2015. Receiver Operating Characteristic Curve analyses were used to determine optimal anthropometric cut-off values for obesity and markers of the metabolic syndrome. WHO indicators of obesity based on body fat percent (> 25% for males and > 35% for females) were used as binary classifiers for developing anthropometric cut-offs. Optimal cut-off values were presented using sensitivity, specificity and area under the curve. RESULTS: The optimal cut-off for obesity using body mass index was 22.2 k/m2 for males and 24.5 kg/m2 for females. Similarly, the optimal waist circumference cut-off for obesity was 83.7 cm for males and 78.0 cm for females. The cut-off values for detecting obesity using waist to hip ratio and waist to height ratio were: WHR (0.88) and WHtR (0.49) for males, while they were 0.82 and 0.50 for females, respectively. Anthropometric cut-off values for markers of metabolic syndrome were lower compared to the international values. For females, the optimal BMI cut-offs for metabolic syndrome markers ranged from 24.8 kg/m2 (triglycerides) to 26.8 kg/m2 (fasting blood sugar). For WC the optimal cut-off ranged from of 82.1 cm (triglyceride) to 96.0 cm(HDL); while for WHtR the optimal values varied from 0.47(HDL) to 0.56(fasting blood sugar). Likewise, the optimal cut-offs of WHR for markers of metabolic syndrome ranged from 0.78(fasting blood sugar) to 0.89(HDL and blood pressure). For males, the optimal BMI cut-offs for metabolic syndrome markers ranged from 21.0 kg/m2 (HDL) to 23.5 kg/m2 (blood pressure). For WC, the optimal cut-off ranged from 85.3 cm (triglyceride) to 96.0 cm(fasting blood sugar); while for WHtR the optimal values varied from 0.47(BP, FBS and HDL) to 0.53(Triglyceride). Similarly, the optimal cut-offs of WHR form markers of metabolic syndrome ranged from 0.86(blood pressure) to 0.95(fasting blood sugar). CONCLUSION: The optimal anthropometric cut-offs for obesity and markers of metabolic syndrome in Ethiopian adults are lower than the international values. The findings imply that the international cut-off for WC, WHtR, WHR and BMI underestimate obesity and metabolic syndrome markers among Ethiopian adults, which should be considered in developing intervention strategies. It is recommended to use the new cut-offs for public health interventions to curb the increasing magnitude of obesity and associated metabolic syndrome and diet related non-communicable diseases in Ethiopia.

Effectiveness of the population health and environment approach in improving family planning outcomes in the Gurage, Zone South Ethiopia.

BACKGROUND: Family planning is a strategy of balancing population growth with economic development for sustainable use of natural resources. A high population growth induces increased demand for resources and the rate at which these resources are exploited. Population, health and environment are connected inextricably. Population growth unbalanced with economic development leads to food insecurity which exposes households to the consumption of food with reduced quality and quantity leading to increased risk of malnutrition and poor health. Food insecurity again obliges people to encroach into the natural environment leading to a spiraling progress to destitution. A study in the Philippines provided concrete evidence that integrated development programming incorporating population, health, and the environment (PHE) can be more effective in lowering population growth rates and preserving critical coastal ecosystems than single-sector development interventions". Although the PHE approach has been implemented for 5 years (2008-2012) Guraghe Zone of South Ethiopia, its outcomes have not been evaluated. The objective of this study was to evaluate the effectiveness of PHE approach for achieving family planning (FP) outcomes in Gurage Zone. METHODS: A comparative cross-sectional study was conducted in October, 2012. A total of 962 married women in the reproductive age group were included in the study. Data were collected using an interviewer administered Amharic version questionnaire. Descriptive statistics and multivariable logistic regression analyses were performed to compare the PHE and non-PHE Woredas (district) based on family planning parameters adopted from Measure Evaluation Manual. RESULTS: Comparison of non-new family panning acceptor women showed that PHE Woreda had a significantly high CPR compared to non-PHE (78% vs 52%, P < 0.0001). Among these sub-groups, women in the PHE Woreda were over four times more likely to use family planning methods during the study period (P < 0.0001) compared with women in the non-PHE Woreda. Women whose husbands' supported their use of family planning methods were 17 times as likely to use family panning methods (AOR: 17.2, 95 % CI [11.1, 26.8]), P < 0.0001. This was even increased to 20 times more when we did sub-group analysis only for women who were not new acceptors (AOR: 20.4:95% CI [9.7, 42.7]), P < 0.0001. The qualitative results showed that there was a better integration of FP, health and environmental issues into the grassroots level interventions in the PHE Woreda through using students as a medium for reaching parents on family planning and environmental issues. CONCLUSIONS: The findings suggest that overall; PHE has positive outcomes in FP behaviors both among married women and their husbands. Integration of population, health and environmental issues need to be strengthened and scaled up to sustain the positive FP behaviors such as support of FP use. Strategies used in the PHE Woredas such as using schools and students as medium for integrated PHE interventions are commendable approaches that need to be strengthened.