Call Details - Saumya

Call Timing Context

Call Time Label

Mid-day

Is Morning

False

Is Mid-day

True

Current Hour

13

Activity Analysis

Highlights

Activity volume is low and inconsistent: two recorded days with steps under 4,000 (2026-02-07: 3,953) and two days with no recorded steps (2026-02-09–10). There are no recorded structured workouts or heart-rate zone data across the period.
Physiological signs suggest limited recovery and cardiorespiratory fitness: resting heart rate ~79–83 bpm on measured days and low HRV (~19–22 ms). VO2max is 29.47 — a reasonable baseline for age but with room to improve through regular activity.
Load pattern is variable (average daily load ~3,055 with SD ~3,727 and monotony index 0.82): this means activity swings between low and moderate days rather than steady daily movement. There was one better day (6,458 steps on 2026-02-08), so short improvements are possible and already occurring.

Recommendations

Start a progressive daily walking habit to reduce glucose peaks and build consistency: aim for a 10–20 minute walk after lunch (add ~1,500–2,000 steps) most days this week, then increase toward the 8,000-step goal over 3–4 weeks.
Add two short resistance sessions per week (20–30 minutes) to improve insulin sensitivity and VO2max. Simple home options: 2–3 sets of chair squats or sit-to-stand, seated rows or band pulls, and 8–12 slow controlled lunges or step-ups. Start light and increase gradually; stop if you feel dizzy or unwell.
Capture missing physiology and log structured sessions: wear the watch consistently (as discussed in the visit) so sleep, HRV, and workout heart-rate zones are recorded. Log planned workouts and brief post-meal walks so we can directly link activity timing to glucose improvements.

Detailed Notes

Daily step summary: 2026-02-07 = 3,953 steps (below 8,000 target), 2026-02-08 = 6,458 steps (improved), 2026-02-09 & 02-10 = 0 steps recorded (device or logging gap). Two zero-step days make weekly activity look substantially lower than actual if the device was not worn.
No structured workouts recorded over the 4 days: workout duration = 0 minutes and heart-rate zone distribution = 0 across all zones. Strain score is 0 each day, indicating no logged training load from workouts.
Resting heart rate and HRV: measured resting HR 79–83 bpm and HRV 19–22 ms on the two days with data. Lower HRV and higher resting HR commonly reflect reduced recovery or higher sympathetic tone — prioritizing regular sleep and gentle activity can help raise HRV over weeks.
VO2max 29.47 and activity scores (46–60 on measured days) point to modest cardiorespiratory fitness. Consistent moderate aerobic work (walking, cycling, or swim) plus twice-weekly resistance training should improve VO2max and glucose control.
Load & monotony: average daily load ~3,055 with a high standard deviation (3,727). A monotony index near 0.8 suggests variable day-to-day activity — making daily movement more even (short walks most days) will reduce variability and support glucose stability.

Glucose Analysis

Highlights

Overall time-in-range is high (weekly TIR ~92%), and mean glucose shows a small downward trend — good baseline control. However, there are marked short-term swings on specific days: 2026-02-07 and 2026-02-08 show high variability (SD ≈ 38 mg/dL, CV ~28–30%) and large post‑meal spikes (MAGE ≈ 70–80 mg/dL).
Clear food–glucose link observed: a high‑glycemic, breaded/fried meal logged at 2026-02-08 16:25 produced a large post-meal response (reported food-response glucose 246 mg/dL). Minute-level CGM confirms large rises in the 30–120 minute window after that meal (values >230 mg/dL).
Hypoglycemia is rare but present briefly: overall time-below-range 0.12%. A notable low reading occurred on 2026-02-08 at 07:31 (69 mg/dL). Most night recordings show no sustained nocturnal lows, but there are occasional single low readings early in the morning.

Recommendations

Change specific meals that drive spikes: avoid breaded/fried high-GI entrees (the 2026-02-08 16:25 item produced a ~246 mg/dL response). Substitute with the provided meal-plan options (grilled fish/chicken + mixed vegetables + a modest portion of cauliflower/legume salad) or halve the portion, add a large salad and protein, and include 10–20 minutes of walking about 30 minutes after the meal.
Spread and increase protein at dinner and across meals to blunt evening spikes: follow the refined meal plan's approach (each main meal ~30–60 g protein). Prioritize a 20–30 g protein source at dinner (Greek yogurt, fish, tofu, or lean poultry) — this aligns with your progress aim to improve protein distribution.
Improve logging and device calibration to refine analysis: log every meal (especially anything fried/high-GI) and add fingerstick readings occasionally to calibrate the CGM when values look inconsistent. Also start wearing the watch to capture sleep and stress so we can test sleep/stress correlations with glucose. Consult your clinician before changing medications.

Detailed Notes

Large afternoon/evening spikes on 2026-02-07: minute-level CGM shows glucose rising from ~142 mg/dL at 14:16 to peaks >235–239 mg/dL between ~15:56–16:11 and sustained high values into the evening. There is not a clear meal log at that exact midday-afternoon window, so please log meals/snacks in that window next time to confirm the cause.
Confirmed food-trigger on 2026-02-08: 'Breaded Fried Item with Creamy and Tomato Sauce' eaten at 16:25 produced a large postprandial response (food-response glucose recorded 246 mg/dL). The CGM timeline matches a substantial rise in the 30–120 minute window after that meal (many readings >200 mg/dL). Swapping cooking method and reducing portion would likely blunt this response.
Morning low on 2026-02-08: CGM reading 69 mg/dL at 07:31. Although overall low time is minimal, brief early-morning lows can occur with variable evening meals, missed bedtime snacks, or medication effects. If you use glucose-lowering medicines, discuss this with your clinician; in the meantime, consider a small planned protein/fat snack before bed on nights when dinner is light.
High short-term variability metrics: CONGA and MAGE are elevated on 02-07 and 02-08 (CONGA-1/2/4 hours often >30), which means short bursts of instability—these line up with high-GI foods and large portions. Pairing carbs with protein/fiber and adding short post-meal walks are proven strategies to reduce these micro-spikes.
Missing / low-quality contextual data reduces precision: sleep entries show no usable data and stress/strain appear as zeros, limiting our ability to correlate poor sleep or stress with glucose swings. Nutrition logs are sparse on some days (only 1–2 meals logged on several days). Capturing full meal timing, wearing the watch overnight, and logging perceived stress will let us give more targeted suggestions.

Nutrition Analysis

Highlights

No highlights available

Recommendations

Prioritize a higher-protein dinner and a small protein-containing bedtime snack from your plan (for example 100 g nonfat Greek yogurt, grilled fish, or 30 g cheese plus a handful of nuts) to help blunt late-evening glucose excursions.
Add a brief 10–20 minute gentle walk within 30–60 minutes after larger meals to reduce peak postprandial glucose; this is low-burden, matches what you reported works, and fits current activity capacity.
Improve logging completeness for Feb 07–09 by recording every meal and approximate timing so we can link specific foods to glucose; when you choose substitutions, keep ingredient-similarity to the plan — for example the granola you used on Feb 07 and Feb 09 shares the same base ingredients as the planned Protein Seed Granola Bowl and therefore supports the meal-plan intent.

Detailed Notes

The breaded fried item with creamy-tomato sauce logged on Feb 08 produced a severe glucose response (peak near 246 mg/dL) and prolonged evening hyperglycemia, so replacing that preparation with grilled/roasted protein and non-starchy vegetables is likely to reduce peak and duration.
Weekend spikes were followed by a relatively quick recovery by Feb 09 (lower SD and lower CONGA values), suggesting the high variability is episodic and tightly linked to weekend meal choices and timing rather than a persistent baseline glucose shift.
Logging was incomplete on Feb 07 (2 logs) and Feb 08 (1 log), which likely underestimates calories and misses snacks; capturing full meals, portion estimates, and timing will allow more precise meal-sequence and portion recommendations.

Sleep Analysis

Highlights

No highlights available

Recommendations

Please wear your Apple Watch or Fitbit overnight with good skin contact so sleep can be tracked reliably.

Detailed Notes

Sleep stages, sleep efficiency, HR/HRV during sleep, and recovery-linked interpretations could not be generated because sleep data is missing.

Stress Analysis

Highlights

No highlights available

Recommendations

Please wear your Apple Watch, Fitbit, or any HRV-capable device consistently throughout the day so stress and recovery can be tracked accurately.

Detailed Notes

HRV trends, recovery patterns, strain–recovery relationships, and autonomic stress interpretations could not be generated because stress metrics are absent or reported as zero for the analysis window (Feb 7–10).

Call Logs & Conversation

AI Call Summary

Summary generation failed: Python process failed with code 2: python3: can't open file '/llm_service.py': [Errno 2] No such file or directory

Call Logs

Hey Saumya, it's great to connect. Mira this side from Heald, hope you're doing great!
Yes, I am. Thank you.
I'm glad to hear that! How has your day been so far? Anything on your mind you'd like to share or reflect on today?
It's been okay. I've been busy, but it's been nice.
Busy days can be a mix of challenge and satisfaction. It’s good to hear you found some niceness in it. Have you noticed how your energy or mood has been during these busy times? Sometimes little shifts there can tell us a lot.
My energy has been okay, mood has been a little on the lower side.
Thanks for sharing that with me. Feeling a bit low in mood is something many of us go through, especially when life gets busy. It’s completely okay to have those moments. Have you noticed if anything in particular triggers that mood dip? Or maybe something that helped lift it before?
I don't know I think sometimes I just get a little overwhelmed when there's a lot of work to do
That makes a lot of sense—feeling overwhelmed when work piles up is really common. It’s tough when the to-do list feels bigger than the time or energy you have. Maybe we can think about one small thing...
Yeah.
How about trying a short walk after one of your meals today? It’s a gentle way to break up the day, clear your mind a bit, and it can also help keep your blood sugar steadier. Just ten to twenty minutes could make a nice difference. Would you like me to remind you to take that walk?
That would be nice if you could remind me around 3 p.m., India time
I’m here to support you, but I can’t set reminders directly. The best way is to set a reminder on your phone or a calendar app for around three in the afternoon. Meanwhile, I’ll check in with you tomorrow to see how it went. Sound good?
Sound good!
Awesome! You’re doing great—keep it up, and I’ll check in tomorrow. If you want to chat or need any support before then, just let me know. Take care!
Okay, thank you. Bye-bye.
You’re very welcome! Take care and talk soon. Bye for now!

Agent Conversation (text)

Hey Saumya, it's great to connect. Mira this side from Heald, hope you're doing great!

Yes, I am. Thank you.

I'm glad to hear that! How has your day been so far? Anything on your mind you'd like to share or reflect on today?

It's been okay. I've been busy, but it's been nice.

Busy days can be a mix of challenge and satisfaction. It’s good to hear you found some niceness in it. Have you noticed how your energy or mood has been during these busy times? Sometimes little shifts there can tell us a lot.

My energy has been okay, mood has been a little on the lower side.

Thanks for sharing that with me. Feeling a bit low in mood is something many of us go through, especially when life gets busy. It’s completely okay to have those moments. Have you noticed if anything in particular triggers that mood dip? Or maybe something that helped lift it before?

I don't know I think sometimes I just get a little overwhelmed when there's a lot of work to do

That makes a lot of sense—feeling overwhelmed when work piles up is really common. It’s tough when the to-do list feels bigger than the time or energy you have. Maybe we can think about one small thing...

Yeah.

How about trying a short walk after one of your meals today? It’s a gentle way to break up the day, clear your mind a bit, and it can also help keep your blood sugar steadier. Just ten to twenty minutes could make a nice difference. Would you like me to remind you to take that walk?

That would be nice if you could remind me around 3 p.m., India time

I’m here to support you, but I can’t set reminders directly. The best way is to set a reminder on your phone or a calendar app for around three in the afternoon. Meanwhile, I’ll check in with you tomorrow to see how it went. Sound good?

Sound good!

Awesome! You’re doing great—keep it up, and I’ll check in tomorrow. If you want to chat or need any support before then, just let me know. Take care!

Okay, thank you. Bye-bye.

You’re very welcome! Take care and talk soon. Bye for now!