The Best Apps, Wearables, and Digital Health Tools for Perimenopause and Postmenopause (Naturopathic Doctor Reviewed)

I hear these things in my office every day:

You used to recover faster. You used to sleep through the night. You used to bounce back after a workout, and now the same workout costs you three days. It feels like your body changed overnight, and you cannot point to when it happened.

You've been told it's stress. You've been told it's just getting older. You've been told your bloodwork is normal.

You're not imagining the change.

Perimenopause is a stretch of years, often four to eight, where hormones swing unpredictably and symptoms arrive in combinations nobody connects to menopause (Duralde et al., 2023). These same symptoms continue to persist and sometimes worsen through postmenopause. Hot flashes affect roughly 50 to 75% of women and typically last more than seven years, and yet menopausal symptoms remain substantially undertreated (Crandall et al., 2023). The gap between what you feel and what you're offered is real and documented.

You deserve an explanation, and this is how to build one. I love tech. But, my bias here is that I love simple tech. Things that are relatively easy to use and implement. I’ve trialled a lot. This is my review!

Why Tracking Works

In a randomized trial of 100 perimenopausal and postmenopausal women, daily symptom monitoring produced a 42% reduction in physical symptoms at two weeks, compared with 12% in controls, along with a significant drop in negative emotions (Andrews, John, & Lancastle, 2023). Among 1,900 women using a menopause app, the ones who tracked more consistently improved more (Andrews, Lancastle, et al., 2023).

Here is the part that matters most. Perimenopause is diagnosed clinically, from your age, your cycles, and your symptoms, not from a blood test (Crandall et al., 2023). Your log is the data. When you walk in with dates and numbers, you are no longer asking to be believed. Because hot flashes have a real differential (meaning many possible causes), including thyroid disease, a dated record is what lets your clinician rule things out rather than shrug (Crandall et al., 2023).

The Risks of Tracking

  • Over-monitoring can feed anxiety. Anxiety predicts more severe hot flashes and is both cause and consequence of how much they bother you (Brown et al., 2024). If logging makes you more afraid, put it down.

  • Don’t delay care. Waiting too long because you want to track things can sometimes mean we miss treating things at an important time. Track it, then act on it.

  • Rapid weight loss is a risk factor, not a win. Eating less and less can cost you muscle and bone while the scale number falls (Seimon et al., 2019).

  • Your data is less private than you think. Across 23 women's health apps, all collected personal health data and 87% shared it with third parties (Alfawzan et al., 2022). Choose apps that let you export and delete your data, and turn off location and ad tracking.

What to Track (and How to Track It)


1. Your symptom log (start here)

Daily and dated: hot flashes and night sweats, sleep, mood and brain fog, cycle details, vaginal dryness or urinary symptoms, joint aches, and what you tried and whether it helped. One of the most important things to include here is the amount of pain-relieving (or other) medication you have used throughout the month. This is the language clinicians understand. When we hear “I needed Advil most days of the month for pain”, it tells us a lot!

Use Balance, Health & Her, or Clue, or a paper journal. All of these options are free or fairly inexpensive. The trial that showed the 42% reduction used paper, so the tool matters less than the habit (Andrews, John, & Lancastle, 2023). The Menopause Foundation of Canada has free printable Canadian checklists you can bring to an appointment. Bottom line: start tracking symptoms.

2. A validated score (for progress, not just symptoms)

A daily log tells you about today. A score tells you whether you are genuinely better over months.

Many clinicians use validated questionnaires because they detect change better than memory alone. The most common ones used in perimenopause and postmenopause care include:

  • Menopause Rating Scale (MRS): covers 11 symptoms across psychological, physical, and urogenital domains. With the MRS, rating any single symptom "very severe" was enough to signal that treatment was warranted, regardless of the total score (Blümel et al., 2018). One bad symptom is worth bringing forward.

  • PHQ-9 and GAD-7: two minutes each, both standard tools for screening mood and anxiety in perimenopausal women (Reddy et al., 2026). A PHQ-9 that moves from 15 to 8 is proof something is working.

Inside The Pain Relief Path Menopause course, I've adapted these into one simple tracking tool, shaped for the pain, sleep, and mood picture that brings most women into this program. You'll find it in the course on week 1 and week 4.

Score at baseline, then every 4 to 12 weeks, and again 8 to 12 weeks after any treatment change. Track over time. That trajectory is the most useful thing you can bring to any appointment.

3. Diet tracking

You're doing all the right things and something still feels different. Sometimes the reason only shows up when you see a whole week laid out.

MyFitnessPal is the app I use and recommend, for one practical reason: you can add me as a friend on the app. I can see your food diary and give my patients specific feedback instead of generic advice based on what you think you ate last Tuesday. It has a massive food database, barcode scanning, and macro breakdowns, which matters when the target is 1.2 to 1.6 g/kg/day of protein (Mozaffarian et al., 2025). The catch is that portion sizes are the hardest part to get right and the user-submitted database has errors, so check labels (Slazus et al., 2022). This app has a free and paid version. It’s worth the paid version in my opinion! There are many other great apps out there. Many of patients also like Lose It!

Diet tracking gets tedious, which is normal. Consistency beats perfection: women who log most days lose over three times as much weight as inconsistent trackers (Patel, Brooks, & Bennett, 2020).

A word on the AI photo apps (Snap Calorie, CalAI, and the AI features in Lose It!). They estimate calories reasonably well, but protein is their weakest nutrient by a wide margin. In a head-to-head test, professional nutritionists outperformed all 40 AI models tested, and protein estimation was 672% worse than human (Vedovelli et al., 2026). They also handle mixed dishes poorly and underrepresent Canadian and cultural foods. Use them when manual logging is not going to happen, but not for protein if you are protecting muscle.

4. Therapeutic apps for common symptoms

You don't have to settle for "this is just how it is." Several apps now have real clinical trial data behind them for symptoms that come up constantly in perimenopause and postmenopause.

  • Nerva (IBS and digestive symptoms). I see digestive issues like IBS very commonly in perimenopause and postmenopause women! This app has transformed my practice. It delivers gut-directed hypnotherapy in daily 15-minute sessions over six weeks. In an RCT of 240 adults, 81% of Nerva users achieved clinically meaningful improvement versus 63% controls, and 71% had at least a 30% reduction in pain (Anderson et al., 2025) and I see these results with my patients. Subscription-based. The main challenge is adherence: only 18% of purchasers completed all sessions in one analysis (Brenner et al., 2024). Strong recommendation alongside dietary management.

  • Curable (chronic and musculoskeletal pain). Uses pain neuroscience education, mindfulness, and journaling. Scores highest among pain apps for evidence-based content in systematic reviews (Devan et al., 2019; Gamwell et al., 2021), and the broader approach is supported by a meta-analysis of 56 RCTs showing significant improvements in pain and disability (Valentijn et al., 2022). Honest caveat: Curable itself does not yet have its own large RCT. Subscription-based. Best for people open to the idea that pain has neurological and psychological contributors alongside structural ones.

  • Sleepio or SHUTi/ Somryst (insomnia). Digital cognitive behavioural therapy for insomnia (CBT-I), which is recommended as first-line treatment ahead of medication (Morin & Buysse, 2024). A meta-analysis specific to peri/postmenopausal women confirmed CBT significantly improved sleep outcomes (Lam et al., 2022).

  • Caria (menopause-specific). Combines CBT, education, and self-management. In a six-week RCT, users had significantly lower hot flash severity, improved depression, and better sleep versus education alone (Duffecy et al., 2025). Subscription-based.

All of these work best as part of a broader plan, not as standalone solutions.

5. Wearables

All the major devices detect sleep versus wake well and all are noticeably weaker at telling deep from light from REM, so read patterns, not nightly scores (Robbins et al., 2024; Lee et al., 2025).

  • Fitbit. The most affordable option and the simplest to use. It's an excellent choice for women who want straightforward health insights without being overwhelmed by data. My pick for most women. I actually love the simplicity of the step counting on this.

  • Apple Watch. The best all-rounder if you already have an iPhone, with ECG, fall detection, and a wide range of health features. It's a great choice if you want a smartwatch that does much more than fitness tracking. Personally, I don't love the "ring" system. My brain prefers a simple step count.

  • Oura Ring. One of the more expensive options once you add the mandatory subscription, but it provides excellent sleep and recovery insights. Its nightly temperature trends can also be helpful for identifying changes over time, but only if you'll actually look at and use the data.

  • WHOOP. A subscription-based, screenless fitness tracker designed for women who exercise regularly and want detailed recovery data rather than smartwatch features. It tracks heart rate variability (HRV), resting heart rate, respiratory rate, sleep, and daily strain, combining them into a recovery score that can help guide training intensity. In validation studies, WHOOP showed the least disagreement with polysomnography for total sleep time and deep sleep of the devices tested (Schyvens et al., 2024; Miller et al., 2022). The downside is that there is no screen, so you'll need your phone to view your data, and the ongoing subscription makes it one of the more expensive options.

  • Garmin. The best option for women who prioritize exercise performance, especially runners, cyclists, and endurance athletes. It offers excellent training metrics, the longest battery life of the group, and no ongoing subscription.

For Today: You don't need an expensive wearable to start tracking your movement. If you want to monitor your daily steps for free, simply download a pedometer app on your smartphone and add its widget to your lock screen or home screen (a quick google about your device will walk you through this in under 3 minutes. Seeing your step count throughout the day can be an easy, motivating way to build awareness and gradually increase your activity. However, you have to carry your phone around for this to work.

My honest take: I love the simplicity of a Fitbit for most people. It is the cheapest way in and easy to read without a manual, and a device that overwhelms you ends up in a drawer tracking nothing. But the Oura Ring gives some genuinely cool data if you are the kind of person who will look at all of those parameters, especially the nightly temperature and HRV trends. Buy it because you will use the graphs, not because you like the idea of them.

Your First Four Weeks

1. Week 1. Track daily (symptoms, diet, exercise, sleep—whatever's most relevant), but change nothing else. Build your baseline. Complete The Pain Relief Path scale, PHQ-9, and GAD-7. Date and save them.

2. Week 2. Review your patterns. Which symptoms occur together? Are they linked to your menstrual cycle, sleep, stress, exercise, or nutrition?

3. Week 3. Book an appointment with your healthcare provider if needed. Bring one page: your symptom scores, weekly hot flash count, sleep pattern, cycle log, medication use (including pain-relieving medication), and your top three concerns in your own words.

4. Week 4. Repeat your symptom score and compare it with your baseline. Progress is measured by trends over time, not by one bad Tuesday. If tracking is helping you understand your body, keep going. If it's feeding your anxiety more than your understanding, simplify your approach and focus only on the measures that are most useful to you.

The bottom line

You deserve to understand what is happening to you, and that understanding starts with data you collected yourself.

If you want help figuring out your next step:

Book a free 15 minute discovery call here.

Or start with the Midlife Pain Lab Guide to better understand what to test and why here.

Medical disclaimer

This post is for general education and information only. It is not medical advice, and it does not create a practitioner-patient relationship. Nothing here is a substitute for individual assessment, diagnosis, or treatment by your own physician, nurse practitioner, or other qualified health professional who knows your history.

No app, wearable, home test strip, or symptom score can diagnose perimenopause, menopause, or any other condition, and none of these tools should be used as contraception or to delay seeking care. Do not start, stop, or change any medication, hormone therapy, supplement, diet, or exercise program based on this post without speaking to your own healthcare provider first. Product mentions are for information only and are not endorsements, and no compensation was received for naming them. Availability, pricing, and privacy policies change without notice.

Seek medical attention promptly for chest pain, severe shortness of breath, fainting, heavy or unusual vaginal bleeding, any bleeding after menopause, a new breast lump, or thoughts of harming yourself. In an emergency, call 911 or go to your nearest emergency department.

References

Alfawzan, N., Christen, M., Spitale, G., & Biller-Andorno, N. (2022). Privacy, data sharing, and data security policies of women's mHealth apps. JMIR mHealth and uHealth, 10(5), e33735.

Anderson, E. J., Peters, S. L., Gibson, P. R., & Halmos, E. P. (2025). Comparison of digitally delivered gut-directed hypnotherapy program with an active control for irritable bowel syndrome. American Journal of Gastroenterology, 120(2), 440-448.

Andrews, R. A. F., John, B., & Lancastle, D. (2023). Symptom monitoring improves physical and emotional outcomes during menopause: A randomized controlled trial. Menopause, 30(5), 484-491.

Andrews, R., Lancastle, D., Bache, K., & Lacey, A. S. (2023). Does Health & Her app use improve menopausal symptoms? A longitudinal cohort study. BMJ Open, 13(9), e071022.

Blümel, J. E., Arteaga, E., Parra, J., et al. (2018). Decision-making for the treatment of climacteric symptoms using the Menopause Rating Scale. Maturitas, 111, 15-19.

Brenner, D. M., Ladewski, A. M., & Kinsinger, S. W. (2024). Development and current state of digital therapeutics for irritable bowel syndrome. Clinical Gastroenterology and Hepatology, 22(2), 222-234.

Brown, L., Hunter, M. S., Chen, R., et al. (2024). Promoting good mental health over the menopause transition. The Lancet, 404(10458), 1116-1130.

Crandall, C. J., Mehta, J. M., & Manson, J. E. (2023). Management of menopausal symptoms. JAMA, 329(5), 405-420.

Devan, H., Farmery, D., Peebles, L., & Grainger, R. (2019). Evaluation of self-management support functions in apps for people with persistent pain: Systematic review. JMIR mHealth and uHealth, 7(2), e13080.

Duffecy, J., Rehman, A., Gorman, S., Huang, Y. L., & Klumpp, H. (2025). Evaluating a mobile digital therapeutic for vasomotor and behavioral health symptoms among women in midlife: Randomized controlled trial. JMIR mHealth and uHealth, 13, e58498.

Duralde, E. R., Sobel, T. H., & Manson, J. E. (2023). Management of perimenopausal and menopausal symptoms. BMJ, 382, e072612.

Gamwell, K. L., Kollin, S. R., Gibler, R. C., et al. (2021). Systematic evaluation of commercially available pain management apps examining behavior change techniques. Pain, 162(3), 856-865.

Heinemann, L. A. J., Potthoff, P., & Schneider, H. P. G. (2003). International versions of the Menopause Rating Scale (MRS). Health and Quality of Life Outcomes, 1, 28.

Lam, C. M., Hernandez-Galan, L., Mbuagbaw, L., et al. (2022). Behavioral interventions for improving sleep outcomes in menopausal women: A systematic review and meta-analysis. Menopause, 29(10), 1210-1221.

Lee, Y. J., Lee, J. Y., Cho, J. H., Kang, Y. J., & Choi, J. H. (2025). Performance of consumer wrist-worn sleep tracking devices compared to polysomnography: A meta-analysis. Journal of Clinical Sleep Medicine, 21(3), 573-582.

Miller, D. J., Sargent, C., & Roach, G. D. (2022). A validation of six wearable devices for estimating sleep, heart rate and heart rate variability in healthy adults. Sensors, 22(16), 6317.

Morin, C. M., & Buysse, D. J. (2024). Management of insomnia. New England Journal of Medicine, 391(3), 247-258.

Mozaffarian, D., Agarwal, M., Aggarwal, M., et al. (2025). Nutritional priorities to support GLP-1 therapy for obesity: A joint advisory. American Journal of Clinical Nutrition, 121(5), 1035-1050.

Patel, M. L., Brooks, T. L., & Bennett, G. G. (2020). Consistent self-monitoring in a commercial app-based intervention for weight loss. Journal of Behavioral Medicine, 43(3), 391-401.

Reddy, S., Gopal, A., Weber, R., et al. (2026). Evaluating tools for assessing mental health disorders in perimenopausal women. International Journal of Gynaecology and Obstetrics, 163(1), 215-223.

Robbins, R., Weaver, M. D., Sullivan, J. P., et al. (2024). Accuracy of three commercial wearable devices for sleep tracking in healthy adults. Sensors, 24(20), 6532.

Schyvens, A. M., Van Oost, N. C., Aerts, J. M., et al. (2024). Accuracy of Fitbit Charge 4, Garmin Vivosmart 4, and WHOOP versus polysomnography: Systematic review. JMIR mHealth and uHealth, 12, e50089.

Seimon, R. V., Wild-Taylor, A. L., Keating, S. E., et al. (2019). Effect of weight loss via severe vs moderate energy restriction on lean mass and body composition among postmenopausal women with obesity: The TEMPO diet randomized clinical trial. JAMA Network Open, 2(10), e1913733.

Slazus, C., Ebrahim, Z., & Koen, N. (2022). Mobile health apps: An assessment of needs, perceptions, usability, and efficacy in changing dietary choices. Nutrition, 101, 111690.

Valentijn, P. P., Tymchenko, L., Jacobson, T., et al. (2022). Digital health interventions for musculoskeletal pain conditions: Systematic review and meta-analysis of randomized controlled trials. Journal of Medical Internet Research, 24(9), e37869.

Vedovelli, L., Pugnaloni, S., Lanera, C., et al. (2026). Model architecture dominates nutritional estimation accuracy in vision-language systems. Scientific Reports, 16, 22851.

Next
Next

Red Light Therapy for Pain Relief: A Guide for Women 35+