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Tama

Phone
+16695775590
Scheduled Time
Sep 30, 2025 01:44 AM EDT
Timezone
America/New_York
Status
completed
Call Type
daily_analysis_update
Created
Sep 29, 2025 06:34 PM EDT
Data Analysis Period
Sep 27, 08:00 PM to Sep 30, 01:35 AM (America/New_York)

Call Timing Context

Call Time Label
Morning
Is Morning
True
Is Mid-day
False
Current Hour
1

Summary

Good morning! In this morning update, we reviewed your data from 2025-09-28 and 2025-09-29. Overall, you had an excellent performance in activity and nutrition with high step counts, effective calorie burn, and balanced macronutrient intake. Your glucose data, though recorded only on 2025-09-29, shows stable readings with an average of 102 mg/dL and a low GMI of 5.7%. Sleep was solid with high quality scores, although the awake time on 2025-09-29 was a bit higher. Stress data was not captured, so consider adding a log there. Compared to the previous day, activity and nutrition were consistent, while sleep showed a slight increase in disturbances. The Heald Score for most metrics is excellent, though glucose tracking could use more attention. For today, try to add a brisk post-breakfast walk and hydrate well to ensure the day keeps improving. A tip: record your stress levels to gain more insight into your overall wellbeing.

Activity Analysis

Highlights

  • On 2025-09-28 you achieved an impressive 14,981 steps with a solid workout time of over 50 minutes and a perfect score of 100.
  • 2025-09-29 maintained quality with 10,764 steps and a higher average workout HR (69.47 bpm) reflecting a slightly more intense session.
  • Both active days demonstrate consistent high-calorie burn (2364 and 1553 calories) and well-distributed heart rate readings.

Recommendations

  • Keep up the consistent workout routines to maintain high activity levels.
  • Consider a short walk or light stretching during the morning to reinforce the great start, especially on partial days.
  • Monitor today’s activity and try to add some movement in the morning since the 2025-09-30 data is missing.

Detailed Notes

  • 2025-09-28 featured a low but steady workout HR range (49-56 bpm) with an excellent score of 100.
  • 2025-09-29’s workout showed a dynamic range with a max HR of 85 bpm, indicating moderate intensity.
  • Both days exceeded the daily steps target of 7,500, which is great for cardiovascular health.
  • Calories burned were significant on both days, highlighting efficient energy expenditure.
  • The absence of activity data on 2025-09-30 calls for ensuring some morning movement today.

Glucose Analysis

Highlights

  • The 2025-09-29 glucose reading shows a stable median of 103 mg/dL and an average of 102 mg/dL.
  • A GMI of 5.7% indicates that overall glycemic exposure is within target.
  • No significant spikes were observed, with a narrow range from 81 to 116 mg/dL.

Recommendations

  • Increase the frequency of glucose recordings to compare daily trends more effectively.
  • Consider integrating additional readings, especially around meals, to better capture post-prandial effects.
  • Verify the TIR data collection since TIR is reported as 0.0 despite stable averages.

Detailed Notes

  • Only 2025-09-29 has detailed glucose data, limiting day-to-day comparison.
  • The low MAGE (0.0) suggests minimal glucose variability.
  • The average glucose of 102 mg/dL is reassuring, keeping within a healthy range.
  • GMI at 5.7% is well below the action threshold of 7.0%, which is encouraging.
  • Further data logging across all days would provide a clearer glucose profile.

Nutrition Analysis

Highlights

  • Your overall nutrition score is impressive at 91, showing balanced macronutrient distribution.
  • Most foods logged are low glycemic (over 90% low), which supports steady glucose control.
  • Meal distribution is fairly balanced with Breakfast 16.67%, Lunch 25%, Dinner 33.33%, and Snacks 25%.

Recommendations

  • Monitor and slightly reduce high glycemic foods like the Chocolate Chip Cookie and Macadamia White Chocolate Cookie.
  • Aim for more consistent calorie logging across days to ensure balanced energy intake.
  • Consider balancing calories on lighter days (844 calories) to sustain energy and nutrient intake.

Detailed Notes

  • On 2025-09-28, calories logged reached 1515 with 113g carbs, while 2025-09-29 had 844 calories with 75g carbs.
  • Macronutrient percentages (33% protein, 42% carbs, 25% fat) indicate a healthy balance.
  • High glycemic foods noted include a Chocolate Chip Cookie (GI: 70.0) and a Macadamia White Chocolate Cookie (GI: 65.0).
  • The meal logs reveal a structured intake pattern that supports overall nutrition.
  • Tracking across additional days may help refine portion sizes and caloric balance.

Sleep Analysis

Highlights

  • Both 2025-09-28 and 2025-09-29 recorded high sleep scores of 89 and 91, respectively.
  • Total sleep duration appears healthy with approximately 8 to 9 hours per night.
  • Balanced sleep architecture was observed with consistent light and REM sleep stages.

Recommendations

  • Continue maintaining a regular sleep schedule to preserve high sleep quality.
  • Monitor the increased awake time on 2025-09-29 to ensure it does not become a pattern.
  • Prioritize good sleep hygiene tonight to capture quality sleep data for 2025-09-30.

Detailed Notes

  • 2025-09-28 sleep breakdown: light 4.45 hrs, REM 1.76 hrs, deep 1.43 hrs, awake 0.49 hrs.
  • 2025-09-29 showed slightly higher light sleep (4.87 hrs) and increased awake time (1.47 hrs).
  • REM sleep remained consistent between the two nights (around 1.65-1.76 hrs).
  • Deep sleep was a bit lower on 2025-09-29, which may affect recovery slightly.
  • No sleep data for 2025-09-30 highlights the need for consistent nightly tracking.

Stress Analysis

Highlights

  • Stress data shows strainScore and recoveryScore of 0 on all days, which may imply unrecorded or minimal stress.
  • No fluctuations in stress metrics were noted, keeping the readings consistent.
  • The lack of recorded stress may reflect either low perceived stress or missing logging in this area.

Recommendations

  • Begin logging subjective stress levels daily to capture any subtle changes.
  • Incorporate short mindfulness or deep breathing sessions during the day.
  • Consider using a wearable device that tracks stress metrics to get more detailed insights.

Detailed Notes

  • Across 2025-09-28, 29, and 30, both strainScore and recoveryScore remain at 0.
  • This uniformity suggests either very low stress or incomplete data entry.
  • Capturing subjective stress ratings could enhance understanding of emotional wellbeing.
  • No additional physiological markers of stress were included in the dataset.
  • Integrating stress tracking can help correlate mood and physical activity for comprehensive health monitoring.

Call Logs & Conversation

AI Call Summary

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Call Logs

  • Hey Tama, it's great to connect. I'm Mira from Heald, and I'd love to share some insights from your health data when you're ready.

Agent Conversation (text)

Hey Tama, it's great to connect. I'm Mira from Heald, and I'd love to share some insights from your health data when you're ready.