Anabolic Steroid Wikipedia
Short‑answer:
There isn’t a magic "X‑day" after which you can stop looking at your weight. Progress is usually assessed every 4–6 weeks (about a month or so), but you’ll want to see consistent trends over several weeks before deciding whether to keep going, adjust your plan, or take a break.
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Why the 4–6‑Week Window Makes Sense
Factor | How it affects timing |
---|---|
Body‑fat changes | Reducing fat takes time. A realistic drop is ~0.5 lb per week of caloric deficit. In 4–6 weeks you’ll see a measurable change. |
Water weight & glycogen | Fluctuations happen daily; the first few weeks are often dominated by water shifts, not true fat loss. |
Metabolic adaptation | The body may slow its metabolism after several weeks of calorie restriction. Seeing how your weight responds over 4–6 weeks helps spot this trend early. |
Hormonal response | Hormones (insulin, cortisol, leptin) stabilize over a few weeks; sustained changes in these levels are reflected in longer-term trends. |
> Bottom line: A single day’s number can be misleading because of daily variations. Looking at 4–6 week data gives you a clearer picture of whether your calorie deficit is producing sustainable fat loss.
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3️⃣ How to Use This Information
Step | What to Do | Why It Matters |
---|---|---|
1. Record daily calories | Log all foods, drinks, and snacks in an app (MyFitnessPal, https://nrisoulmate.com/@stephaniebelli Cronometer). | Accurate data is the foundation for analysis. |
2. Track weight & body composition weekly | Weigh yourself once a week at the same time of day; if possible, use DEXA or skinfold calipers to monitor fat mass vs muscle. | Prevents short‑term fluctuations from skewing your view. |
3. Plot calorie intake vs weight trend | Use spreadsheet software to overlay daily calories on weight changes over 30 days. | Visual patterns emerge—e.g., weight plateau after certain calorie level. |
4. Identify "threshold" points | Look for ranges where increasing calories by 100–200 kcal/day no longer produces weight gain; this likely reflects your energy requirement. | This is the dynamic of energy balance in real life. |
5. Refine and re‑test | Adjust calories upward or downward based on identified threshold, then repeat a new month to confirm consistency. | Repetition confirms that the threshold is stable over time. |
Practical Example (Hypothetical)
Week | Avg Daily Calories | Weight Change |
---|---|---|
1 | 2,200 kcal | +0.5 kg |
2 | 2,300 kcal | +0.8 kg |
3 | 2,400 kcal | +0.9 kg |
4 | 2,500 kcal | +1.2 kg |
The weight gain slows in week 4 relative to earlier weeks. You might deduce that your maintenance level is around 2,400–2,500 kcal. Confirm this by repeating with a different dataset or adjusting for activity changes.
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5. Why the "Average Calorie Intake" Approach Is Wrong
- Assumes Perfect Balance: The approach presupposes that all calories you eat are stored as fat, ignoring metabolic processing.
- Ignores Variable Energy Expenditure: Your basal metabolic rate and activity level change daily; a static average intake cannot capture this dynamic.
- Disregards Time‑Scale Effects: Over weeks or months, the body’s storage and mobilization of energy buffer short‑term fluctuations. An average does not reflect cumulative excesses or deficits.
4. A More Plausible, Mechanistic Model
Below is a concise outline of a model that links diet to weight using physiological principles rather than a simplistic average:
Component | Description | Key Equations / Concepts |
---|---|---|
Energy Intake (EI) | Calories consumed per day. | \( EI = \sum_food C_i \) |
Basal Metabolic Rate (BMR) | Energy expended at rest. | Harris–Benedict, Mifflin‑St Jeor, or measured via indirect calorimetry. |
Thermic Effect of Food (TEF) | ~10% of EI for protein; varies by macronutrient. | \( TEF = 0.1 \times EI_protein + 0.05 \times EI_fat + 0.03 \times EI_carb \) |
Physical Activity Energy Expenditure (PAEE) | Calories burned during activity; measured via accelerometry or heart‑rate monitors. | |
Total Daily Energy Expenditure (TDEE) | \( TDEE = TEE + TEF + PAEE \). | |
Energy Balance | \( EB = EI - TDEE \); positive EB leads to fat gain (~3500 kcal ≈ 1 lb fat). |
This framework is used by dietitians and researchers to estimate how many calories a person can eat or must restrict to achieve weight loss.
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4. How the Body Uses Food for Energy
Nutrient | Main Pathway | Primary Product |
---|---|---|
Carbohydrates | Glycolysis → Pyruvate → Acetyl‑CoA (via PDH) → TCA cycle → ATP (via ETC). | Glucose or glycogen stores. |
Fats | β‑oxidation → Acetyl‑CoA + NADH/FADH₂ → TCA cycle → ATP. | Triglycerides stored in adipose tissue; also from dietary oils. |
Proteins | Deamination → α‑ketoglutarate or other intermediates → entry into TCA cycle (anaplerosis). | Dietary amino acids or muscle protein breakdown. |
- Efficiency: Fat yields ~9 kcal/g, carbohydrate ~4 kcal/g; proteins also provide 4 kcal/g but are not primarily used for energy.
- Regulation: Insulin promotes storage (fatty acid synthesis), glucagon promotes mobilization (lipolysis) and gluconeogenesis.
Summary
- Blood glucose is the main fuel that circulates in the blood.
- The brain can use glucose, lactate, or ketone bodies, but it cannot produce its own glucose; any glucose must come from dietary intake or hepatic synthesis.
- If carbohydrate intake is insufficient and the liver is deprived of glycogen (e.g., after a prolonged fast), the brain’s glucose supply falls below critical levels (~45 mg/dL). The body then switches to ketone bodies for fuel.
- During a 36‑hour fast with no carbohydrate or protein, the blood glucose level can drop close to 50–60 mg/dL before ketogenesis compensates.