Why your belly fat is not budging
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The short version
Chronic stress keeps your body in “store fat” mode. Cortisol makes you crave high-calorie food and pushes fat toward your waist (link). Fix the stress loop, sleep properly, eat like an adult, and use ingredients that lower the stress response (link). That is what Life Support is built for. Metabolites and Carb Shield then make the calorie math easier (link).
Cortisol 101
Too much cortisol for too long is linked to central fat gain (link). Higher long-term cortisol tracks with more abdominal fat in real people when you measure it in hair (link). Your fat can regenerate more active cortisol locally via 11β-HSD1 (link).
Stress nudges you toward comfort food by juicing the brain’s reward circuits (link). Short sleep drops leptin, raises ghrelin, and spikes hunger for carbs (link).
The plan that actually works
1) Lower the stress signal
These are evidence-based ingredients inside Life Support.
- L-Theanine lowers salivary cortisol during acute stress and improves calm in human trials (link, link).
- Vitamin C reduces cortisol responses to the Trier social stress test in randomized studies (link).
- Omega-3s blunt stress reactivity and can lower cortisol in human trials (link).
- Magnesium and B-vitamins improve perceived stress in clinical work (link).
- Prebiotic fibers can reduce the waking cortisol response via the gut–brain axis in humans (link).
Adaptogenic and supportive botanicals
- Reishi improves fatigue and well-being; reishi–cordyceps combos affect pre-race cortisol in athletes (link, link).
- Cordyceps improves exercise tolerance in trials (link).
- Astragalus shows human effects on fatigue and immune modulation (link).
- Chaga shows antioxidant and immunomodulatory activity across reviews and preclinical work (link).
- Dandelion shows diuretic effects in a human pilot (link).
- Slippery elm appears in GI-soothing blends with pilot human benefit (link).
Bottom line
Lower the stress signal and your body stops hoarding around the waist (link). That is exactly why Life Support exists.
2) Sleep like you mean it
Aim for 7 to 9 hours. Less sleep increases hunger hormones and cravings (link).
3) Eat like an adult
Protein each meal, plants most meals, foods that are hard to overeat. Stress eating loves soft, sweet, easy calories (link).
4) Make the calorie math easy
Carb Shield
Uses Garcinia cambogia (HCA) to support appetite control and reduce visceral fat in humans (link, link). Features Ascophyllum nodosum, a brown seaweed whose polyphenols inhibit alpha-amylase and alpha-glucosidase, reducing carbohydrate absorption and blunting post-meal glucose and insulin in randomized human crossover trials (link, link, link).
Advanced Metabolites
Helps curb cravings and steady intake through gut-hormone pathways including GLP-1. Yerba Mate in a Yerba-Mate–Guarana–Damiana blend increased GLP-1 and lowered energy intake in overweight women (link). Guarana supports energy metabolism and is part of that GLP-1-raising blend (link). Chromium picolinate reduced food intake, hunger and fat cravings in placebo-controlled work (link). Panax ginseng shows ginsenosides stimulate GLP-1 release in experimental models (link, link).
Life Support
Built as the daily base to calm the stress loop so fat loss stops fighting you (link).
Footnotes
- HPA axis and central adiposity (Nature)
- Hair cortisol and abdominal obesity
- 11β-HSD1 and adipose cortisol generation
- Stress, glucocorticoids and comfort eating
- Sleep restriction and appetite hormones
- L-theanine acute stress trial; 4-week RCT
- Vitamin C and TSST
- Omega-3 and stress physiology
- Magnesium + B6 and stress
- Prebiotic (B-GOS) lowers CAR
- Reishi RCT; Cochrane review
- Cordyceps and exercise tolerance
- Astragalus human data
- Chaga review
- Dandelion diuretic pilot
- Slippery elm pilot
- Garcinia cambogia meta-analysis; Visceral fat RCT
- A. nodosum enzyme inhibition; Human crossover glycemia; Seaweed polyphenols review
- YGD blend raises GLP-1 and lowers intake
- Chromium picolinate cravings trial
- Ginseng → GLP-1; Mechanism paper