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HLTH-150 • Nutrition for Sports and Exercise / Nutrición para el Deporte y el Ejercicio

Mod 14 Lab & Simulation: Lifespan Meal Plan & Older Adult Protein Audit

Estimated Time / Tiempo: 25–35 Minutes / Minutos
Format / Formato: Text Entry Box Only (No File Uploads)
Mastery Policy / Dominio: 10 / 7 / 0 Scale • Unlimited Revisions Through Semester Close
Module 14 Key Clinical Terms in Plain English / Glosario Clínico del Módulo en Palabras Sencillas (Click to Expand / Presione para Abrir)
  • Anabolic Resistance in Older Adults (1.2–1.6 g/kg/day & 25–35 g/Meal): Aging muscle requires a higher per-meal protein and leucine dose (25–35 g high-quality protein per meal) paired with resistance exercise to prevent sarcopenia.
    En palabras sencillas: Con los años el músculo aprovecha menos la proteína, por lo que un adulto mayor necesita de 25 a 35 gramos de proteína real por comida más ejercicios de fuerza.
  • Maternal Trimester Energy & Micronutrient Increments (DGA 2025–2030): Pregnancy requires +0 kcal (1st trimester), +340 kcal/day (2nd trimester), and +452 kcal/day (3rd trimester) alongside critical folate, iron, iodine, and choline from real foods.
    En palabras sencillas: Durante el embarazo se suman +340 calorías en el segundo trimestre y +452 en el tercero con alimentos ricos en ácido fólico, hierro y colina.
  • Youth Peak Bone Mass Accrual (Calcium, Vitamin D & Unrestrictive Fueling): Adolescence is the critical window for building lifetime bone mineral density; restrictive dieting during youth stunts growth and increases fracture risk.
    En palabras sencillas: En niños y adolescentes nunca se aplican dietas restrictivas; necesitan calcio, vitamina D y energía suficiente para crecer y formar huesos fuertes.

In Plain English

Before you read the details below, here is the short version: Nutritional needs change across youth growth, pregnancy, and older adulthood. In this lab, you calculate daily protein and hydration targets for an older adult or lifespan client in Yuma County using the 2025–2030 Dietary Guidelines for Americans to prevent muscle loss (sarcopenia).

En Palabras Sencillas (Contexto Norteño)

Con los años el cuerpo necesita mejor mantenimiento: los adultos mayores ocupan suficiente proteína de comida real en cada comida para no perder fuerza ni músculo. Si los términos técnicos se ponen pesados, concéntrate primero en repartir bien la proteína y el agua durante el día.

Lab 9-Box Command Center Consult ([WHAT] Ring 3 • "Toolkit" in Course Navigation • Open 9-Box Command Center (exwtoolkit.com)): In your Coaching Sprint ([HOW]), you calibrated a single-rule /simulators/* micro-widget. Now in this Lab Assignment ([WHAT]), use the full 9-Box Command Center along the workflow Step 1: Biometrics Box → 3. Fuel Box (RMR, TDEE & Macronutrients) → 9. Solve Box ("Copy for Canvas Submission") to synthesize your complete 4-part clinical consult (verify all outputs against 2025-2030 Dietary Guidelines for Americans (Real-Food Focus)).

PAGA Physical Activity & Nutrition Tool Kit PWA ("PAGA" in Course Navigation • Open PAGA PWA): Open Nutrition Coach (DGA 2025–2030) • USOPC Athlete Plates • Activity Audit • My Dashboard → Paste your ### delimited case to cross-check federal guidelines and build your Pattern / Rule / Solve audit.

Centro de Comando de 9 Cajas para el Laboratorio ([WHAT] Anillo 3 • "Toolkit" y "PAGA"): Después de calibrar el micro-simulador en su Sprint, use el Centro de Comando de 9 Cajas en "Toolkit" (https://exwtoolkit.com → Step 1: Biometrics Box → 3. Fuel Box (Tasa Metabólica y Macronutrientes) → 9. Solve Box) y "PAGA" (paga2018.dev → Nutrition Coach (DGA 2025–2030), Platos del Atleta USOPC y Activity Audit) para respaldar su entrega completa de 4 partes verificando cada dato contra la Fuente de Verdad.

Part A: Select Your Lifespan Nutrition Case Study

Track 1: Clinical Geriatric Sarcopenia Prevention

Client: 68-year-old retired agricultural supervisor in Yuma, AZ beginning resistance training.
Data: Body Mass: 75.0 kg | Current Protein Intake: 48 g/day (0.64 g/kg/day, skewed 70% at dinner) | Target DGA/Clinical Range: 1.2–1.6 g/kg/day evenly distributed (25–30 g/meal).

Track 2: Maternal & Perinatal Fitness Fueling (Click to Expand Case Profile / Presione para Abrir)
Track 2: Maternal & Perinatal Fitness Fueling

Client: 29-year-old second-trimester recreational swimmer and elementary teacher in Somerton, AZ.
Data: Pre-pregnancy Mass: 64.0 kg | Current Intake: 1,950 kcal/day | Needs +340 kcal/day second-trimester adjustment, 1.1 g/kg/day protein, plus iron, folate, and choline verification.

Track 3: Masters Endurance Athlete (62 y/o) (Click to Expand Case Profile / Presione para Abrir)
Track 3: Masters Endurance Athlete (62 y/o)

Athlete: 62-year-old masters cyclist in Imperial Valley / Yuma training 4 days/week in dry heat.
Data: Body Mass: 70.0 kg | Current Protein: 60 g/day (0.86 g/kg/day) | Needs 1.4–1.6 g/kg/day whole-food protein distribution and heat-adjusted fluid/electrolyte replacement.

Part B: Clinical Framing Protocol (Pattern / Rule / Solve) & Four-Part Submission

  1. Part 1 (The Engine — P-T-C-F Prompt): Wrap your selected client case in triple-hashes (###) and prompt Gemini to calculate daily protein targets (g/day and g/meal across 3–4 meals) and micronutrient priorities under the 2025–2030 Dietary Guidelines for Americans.
  2. Part 2 (The Clinical Audit — 150 Words): Audit the AI's meal plan using Pattern / Rule / Solve. Verify exact protein math ($ ext{Mass in kg} imes ext{Target g/kg/day}$), leucine/meal distribution thresholds (25–35 g/meal), and real-food affordability for Yuma County families.
  3. Part 3 (Active Verification — 150 Words): In your own authentic voice, explain to your client why evenly spacing real-food protein (eggs, Greek yogurt, pinto beans, lean poultry, fish) across breakfast, lunch, and dinner protects muscle and bone health better than a single heavy dinner or expensive supplements.

10 / 10 Pre-Flight Check Before You Click Submit (Check All 4 Boxes / Verifique los 4 Puntos):

Step 1: Exact SSoT Numbers Cited: Included exact federal guideline targets (not vague AI summaries) in Part 2 (The Audit).Step 2: 150+ Words in My Own Voice: Wrote Part 3 (Active Verification) in 150+ words of personal coaching reasoning.Step 3: Yuma Heat & Safety Gate: Addressed Yuma / Imperial Valley heat stress (KNYL flag conditions) and red-flag stop rules.Step 4: Bilingual Cue Card (EN + ES): Included the 2-sentence plain-language coaching card in both English and Spanish.
BLANK SUBMISSION SKELETON (PASTE INTO CANVAS TEXT ENTRY BOX) • PLANTILLA DE ENTREGA
Click to Highlight Template (1 Clic)Selected! Press Ctrl+C / Cmd+C to Copy • ¡Seleccionado!
[SELECTED TRACK AND CLIENT INITIALS]: Track [1 / 2 / 3] — Client [Initials] [9-BOX COMMAND CENTER & PAGA PWA CONSULT (exwtoolkit.com | paga2018.dev)]: [Record key metrics from 1. Biometrics Box → 3. Fuel Box (RMR, TDEE & Macronutrients) → 9. Solve Box or PAGA Case Coach, verified against 2025-2030 Dietary Guidelines for Americans (Real-Food Focus).] [PART 1 — PATTERN RECOGNITION AND P-T-C-F PROMPT]: [Summarize client baseline pattern, Yuma environmental stressors, and your P-T-C-F prompt.] [PART 2 — RULE APPLICATION AND CLINICAL AUDIT (150+ WORDS)]: [Audit the AI output against 2025-2030 Dietary Guidelines for Americans (Real-Food Focus). State exact safety thresholds and corrections.] [PART 3 — SOLVE AND ACTIVE VERIFICATION IN MY OWN VOICE (150+ WORDS — MANDATORY FOR 10/10)]: [Defend your clinical prescription and safety logic in at least 150 words in your own coaching voice.] [PART 4 — BILINGUAL CLIENT COACHING CARD (2 SENTENCES)]: English: "[Write your 2-sentence plain-English takeaway here.]" Spanish: "[Escriba su resumen práctico de 2 oraciones en español aquí.]" [REPOSITORY VERIFICATION]: Confirmed exported and saved to EXW_Professional_AI_Repository.

Exemplar: 10/10 Submission Standard

Quick Quality Check: What Separates 7(Competent) from 10(Exemplary)?
Mastery TierHow It Looks in SpeedGrader (Pattern / Rule / Solve)
7 / 10 — Competent
(Competente — Revisable)
Catches the general issue but relies on generic AI wording, misses specific 2025-2030 Dietary Guidelines for Americans (Real-Food Focus) numeric thresholds or Yuma heat adjustments, or omits the 150-word Part 3 Active Verification. (Unlimited revisions allowed to reach 10 / 10.)
10 / 10 — Exemplary
(Ejemplar — Estándar Meta)
Audits and corrects AI errors using exact 2025-2030 Dietary Guidelines for Americans (Real-Food Focus) benchmarks, adapts for Yuma / Imperial Valley conditions, and defends the plan in 150+ words of personal coaching voice with a 2-sentence bilingual cue card.

Pattern: Track 1 client (75.0 kg, 68 y/o) consumes only 48 g/day protein (0.64 g/kg/day), creating anabolic resistance and sarcopenia risk.
Rule (2025–2030 DGA): Older adults performing resistance exercise require 1.2–1.6 g/kg/day ($75.0 imes 1.4 = 105 ext{ g/day}$) divided into 3 meals of $pprox 30 ext{–}35 ext{ g}$ whole-food protein plus vitamin D, calcium, and fluid adequacy.
Solve: Rebalance intake to 35 g breakfast (eggs, cottage cheese, corn tortillas), 35 g lunch (grilled chicken, pinto beans, greens), and 35 g dinner (baked fish, quinoa, roasted vegetables) with 2.8 L/day baseline fluids.


Módulo 14 Laboratorio y Simulación: Plan de Alimentación en el Ciclo de Vida y Auditoría de Proteína en el Adulto Mayor

Aplique el Protocolo de Encuadre Clínico (Patrón / Regla / Solución) y las Guías Alimentarias 2025–2030 (Enfoque en Comida Real) para calcular y auditar los requerimientos de proteína por comida y micronutrientes clave en el ciclo de vida. Entregue las Partes 1, 2 y 3 en el cuadro de texto de Canvas.