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Effect decomposition and Table 2 fallacy

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 What? To show multiple adjusted effect estimates shown in a single table from a single regression model. What are the consequences? 1. Interpretative complexities- create confusion in the interpretation of direct effect estimates to total effect estimates for covariates in the model. 2. Though the effect estimate of the main exposure are not confounded but overall effect estimate is confounded due to including all the covarites in the same model 3. Effect estimate may complicate further by heterogeneity (variation, modification) of the exposure effect estimate are presented Why we need effect decomposition?: To identify the interventional factors and understand the pathways to design for intervention to improve health and prevent diseases. Few term before explaining the concept of effect decomposition: Primary effect- effect of primary exposure of interest in the initial adjustment model Secondary effect- effect of covariate (confounder or effect modifier) not of primary interest ...

Which seed do you eat?

 Which seeds would you like to add to your healthy diet? Nutritional Comparison of Common Seeds: Nutrient Pumpkin Seeds Hemp Seeds Chia Seeds Sesame Seeds Flaxseeds Sunflower Seeds Calories (kcal) 153 157 138 160 151 164 Protein (g) 6.9 9.0 4.4 4.8 5.2 5.8 Fat (g) 13.0 13.8 8.7 13.6 12.0 14.4 Carbs (g) 5.0 2.5 12.3 7.3 8.2 5.6 Fiber (g) 1.8 1.1 9.8 4.0 7.8 2.4 Calcium (mg) 15 20 179 281 72 22 Iron (mg) 2.3 2.3 2.2 4.2 1.6 1.5 Magnesium (mg) 156 210 95 101 113 36 Zinc (mg) 2.2 3.0 1.3 2.0 1.3 1.5 Selenium (mcg) 5.2 5.7 15.7 1.6 2.6 22.5 Vitamin E (mg) 0.56 0.8 0.5 0.25 0.3 7.4 Omega-3 (ALA) (g) 0.1 0.6 5.1 0.1 6.5 0.1 Omega-6 (g) 5.8 3.8 1.6 6.0 1.7 9.5 Copper (mg) 0.4 0.5 0.1 0.7 0.6 0.5 Manganese (mg) 0.1 2.3 0.6 0.7 0.7 0.6 Phosphorus (mg) 332 469 244 181 182 185 Potassium (mg) 228 341 115 126 228 185 Lignans (mg) ...