Yes! A Premium subscription is not required to use your scale. You can still enjoy the Hume Health app for free and access essential features like weighing-in and viewing body measurements.However, certain advanced features are reserved for Premium (Hume Plus) users, including:A comprehensive weekly Health Report that examines: - Body Composition - Activity - SleepPersonalized health insights & recommendations to achieve your goalsAnd so much more!

Can it be used by multiple users?

Yes! The Hume Pod can connect to multiple accounts. Each user should log in with their own Hume Account for accurate tracking.Like all Bluetooth devices, the Hume Pod can only connect to one phone at a time. To weigh in, simply open your Hume Health App and step on the scale. However, if another paired user is nearby with their app open, they may need to close their app to free up the Hume Pod’s connection for you.

Are these technologies safe?

Yes—the Hume Pod’s BIA (Bioelectrical Impedance Analysis) technology is completely safe and has been widely used for over 20 years. What sets us apart is our patented BIA frequency, which allows for greater accuracy compared to other smart Hume Pods.For customers with cardiac devices like pacemakers or ICDs implanted after 1992, our Hume Pod is safe to use. Multiple studies have shown no interference with CIEDs (Cardiac Implantable Electronic Devices) during BIA measurements.Your safety and trust are our top priorities—and our technology reflects that.

Does it show weekly trends in a graph?

Yes! Hume tracks your progress over time and displays your data in easy-to-read graphs. You can view your weekly, monthly, and yearly averages for weight and other key health metrics. This makes it simple to spot trends, track your progress, and stay motivated on your health journey.

What Does my Warranty Cover?

1-Year WarrantyThink of this as your Hume safety net. If your device ever runs into a hiccup due to a product defect—like a sensor glitch or anything not working the way it should—we’re on it. Just give us a shout, and we’ll send you a free replacement to keep things running smoothly. No stress, no fuss, just support when you need it.10-Year WarrantyGo long—like really long—with our 10-year warranty. It covers the same product defect protection as our 1-year plan, but for a whole decade. If your device ever stops working as expected due to a defect, we’ll replace it for free. And if it ever happens again? Your second replacement is 50% off. It’s peace of mind for the long haul, with a little bonus built in.

If I don’t like it? Can I return it?

Absolutely! We’re confident you’ll love your Hume product—but if it’s not the right fit, no worries. That’s why we offer a 45-day trial so you can try it out, commitment-free. If you decide to return it, just reach out to our customer service team first. They’ll share the return instructions—and once you ship it back to us, we’ll take it from there.

What is the maximum weight?

The scale supports a maximum weight of 400 lbs (181.4 kg). If exceeded, the scale will display an error. The scale has a minimum measurable weight of 6.6 lbs (3 kg).

Weighing-in for the first time?

Place your scale on an uncarpeted, flat surface.Ensure your phone’s Bluetooth is active.With bare feet (no socks), step onto your scale until it displays 0.00.If your scale is not turning on, please charge it.Open the Hume Health app and tap “Measurement.” Select the Hume Pod from the list of available devices.Pull the handles, stand fully upright facing forward, and hold the Hume Pod handles steady with both hands.Remain in place, upright on the scale and holding both handles steady, until the Hume Health app signals that your weigh-in is complete.Checklist:Uncarpeted, flat surfaceStanding upright and barefootHolding the handles steady at waist heightWaiting for your Hume Health app to notify you that your weigh-in is complete

How to get the best results?

Start your day with a morning weigh-in for consistent tracking, minimizing daily fluctuations influenced by meals and fluids.Try to keep the same time and place for your weigh-ins.Remember: Weight can vary day to day and even hour to hour. It is important to focus on trends. By focusing on these trends, you get a clearer picture of your progress and patterns.Stay flexible. If you miss your usual time, don’t skip the day; just do it later.

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{ "type": "slideout", "content": { "title": "11-modal", "content": "\u003ch4\u003eLean Mass Preservation During GLP‑1-Assisted Weight Loss in Engaged Digital Health Program Participants\u003c\/h4\u003e\n\u003cp\u003e\u003ci\u003eAn Outcomes Analysis of 6,990 Hume Health Premium Members\n \u003c\/i\u003e\u003c\/p\u003e\n\u003cp\u003eHume Health Corp • Internal Outcomes Analysis • 2024\n Correspondence: research@humehealth.com • Methodology available on request\n\u003c\/p\u003e\n\u003ch4\u003eABSTRACT\u003c\/h4\u003e\n\u003cp\u003e\u003cb\u003eBackground.\u003c\/b\u003e GLP‑1 receptor agonists produce substantial weight loss but are associated with lean mass loss of\n 25–39%\n of total weight lost in published clinical trials. Lean mass is a primary determinant of resting metabolic rate, and\n its loss during weight reduction is associated with impaired weight maintenance following treatment cessation. This\n analysis examined lean mass outcomes in a real-world cohort of Hume Health premium platform members who met defined\n engagement criteria.\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eMethods.\u003c\/b\u003e Retrospective analysis of 6,990 Hume Health premium members on GLP‑1 therapy who completed a minimum\n of\n three body composition measurements per week via the Hume Body (8-sensor bioelectrical impedance analysis) and made\n weekly attestations of adherence to Pro.f AI protocol guidance. Body composition was measured at each weigh-in. The\n primary outcome was lean mass loss as a percentage of total weight lost, assessed from highest recorded weight (peak)\n to lowest recorded weight (nadir). Weighted mean lean mass loss was computed as the ratio of aggregate lean mass\n change to aggregate total weight lost across the full cohort.\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eResults.\u003c\/b\u003e Mean baseline weight was 105.3 kg (SD 21.8). Mean total weight lost was 21.9 kg (SD 6.8),\n representing 21.3%\n of baseline body weight. The weighted mean lean mass loss as a percentage of total weight lost was 16.9%. The median\n lean mass loss as a percentage of total weight lost was 19.4%. A total of 12.7% of members preserved or increased lean\n mass over the measurement period. Among the 87.3% of members who lost lean mass, mean lean mass loss as a percentage\n of total weight lost was 22.0%.\n\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003e\n Conclusions. \u003c\/b\u003e Hume Health premium members on GLP‑1 therapy demonstrated lean mass loss substantially below the\n 25–39%\n range documented in published clinical trials. These results are consistent with the hypothesis that\n high-frequency\n body composition monitoring combined with AI-guided protocol adherence supports favorable body composition\n outcomes\n during medically assisted weight loss.\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eKeywords:\u003c\/b\u003e \u003ci\u003eGLP‑1 receptor agonists; lean mass preservation; body composition; semaglutide; weight loss;\n bioelectrical impedance analysis; digital health\u003c\/i\u003e\u003c\/p\u003e\n \n\u003ch4\u003e1. INTRODUCTION\u003c\/h4\u003e\n\u003cp\u003eGlucagon-like peptide-1 (GLP‑1) receptor agonists represent a substantial advance in pharmacological obesity\n management. In the STEP 1 clinical trial, once-weekly subcutaneous semaglutide 2.4 mg produced mean total body weight\n loss of 14.9% over 68 weeks, compared to 2.4% in the placebo group receiving lifestyle intervention alone —\n approximately 6.2 times greater weight loss than lifestyle intervention alone.¹\u003c\/p\u003e\n\u003cp\u003eHowever, a consistent finding across GLP‑1 clinical trials is that a meaningful proportion of weight lost derives\n from lean tissue rather than adipose tissue. Neeland et al. documented lean mass reductions of 40–60% of total weight\n lost in some GLP‑1 trial cohorts, with substantial heterogeneity across studies.² Prado et al., in a commentary in The\n Lancet Diabetes \u0026 Endocrinology, reported lean mass loss of 25–39% of total weight lost across medically induced\n weight loss programs.³\u003c\/p\u003e\n\u003cp\u003eThis is clinically significant because skeletal muscle mass is a primary determinant of resting metabolic rate (RMR)\n — the baseline energy expenditure that determines whether a patient can sustain their new body weight after treatment\n ends.⁶ In the STEP 1 extension trial, participants who discontinued semaglutide without a structured metabolic exit\n protocol regained two-thirds of their prior weight loss within one year of stopping treatment.⁴\u003c\/p\u003e\n\u003cp\u003eThe Hume Health platform combines GLP‑1 therapy with high-frequency body composition measurement via bioelectrical\n impedance analysis (BIA), physician oversight informed by longitudinal tissue-level data, and an AI guidance system\n (Pro.f) that surfaces body composition patterns for clinical review and member adherence. This analysis examines\n whether this protocol-supported approach is associated with lean mass outcomes below published benchmarks.\n\u003c\/p\u003e\n \n\u003ch4\u003e2. METHODS\n\u003c\/h4\u003e\n\u003cp\u003e\u003cb\u003e2.1 Study Design\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eThis was a retrospective cohort analysis of real-world member data from the Hume Health platform. The analysis period\n spanned active program enrollment through March 2026. The study was conducted under Hume Health Corp internal data\n governance protocols. Member data were de-identified prior to analysis. The study did not constitute human subjects\n research requiring institutional review board oversight under 45 CFR 46 as it involved retrospective analysis of\n de-identified operational data.\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003e2.2 Participants\n \u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eEligible participants were Hume Health premium members who: (1) were actively enrolled in a GLP‑1 therapy program\n during the analysis period; (2) completed a minimum of three Hume Body body composition measurements per week\n throughout the measurement window; and (3) completed weekly attestations confirming engagement with and adherence to\n Pro.f AI protocol guidance. Members who did not meet all three criteria were excluded from analysis.\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003e2.3 Measurements\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eBody weight and body composition were measured at each weigh-in using the Hume Pod, a bioelectrical impedance analysis\n device measuring whole-body and segmental lean mass, fat mass, and total body water. BIA measurements were recorded at\n consistent times relative to weigh-in. Lean mass at peak weight (highest recorded body weight during the measurement\n window) and lean mass at nadir weight (lowest recorded body weight) were identified for each member. Lean mass delta\n was computed as lean mass at nadir minus lean mass at peak. Weight loss was computed as peak weight minus nadir\n weight.\n\u003c\/p\u003e\n\u003cp\u003eLean mass loss as a percentage of total weight lost was computed for each member as: (|lean mass delta| \/ weight\n loss) × 100, where lean mass delta was negative for members who lost lean mass and positive for members who preserved\n or gained lean mass. The primary aggregate outcome — weighted mean lean mass loss as a percentage of total weight lost\n — was computed as: (sum of lean mass deltas across all members \/ sum of total weight lost across all members) × 100,\n reflecting the population-level ratio of lean mass change to total weight change.\n\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003e2.4 Statistical Analysis\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eDescriptive statistics were computed for all primary and secondary outcomes. Continuous variables are reported as\n mean (standard deviation) and median. The weighted mean was used as the primary outcome measure for lean mass loss as\n a percentage of total weight lost, as it accounts for variation in total weight lost across members and reflects the\n aggregate population-level body composition response. Members who preserved or gained lean mass during the measurement\n period (lean mass delta ≥ 0) are included in all analyses; their inclusion in the weighted mean computation reduces\n the aggregate lean mass loss percentage relative to analyses restricted to members with lean mass loss.\u003c\/p\u003e\n\u003ch4\u003e3. RESULTS\u003c\/h4\u003e\n\u003cp\u003e\u003cb\u003e3.1 Participant Characteristics\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eA total of 6,990 members met all eligibility criteria and were included in the analysis. Baseline characteristics are\n presented in Table 1.\u003c\/p\u003e\n \n\u003cdiv class=\"table_drawer\"\u003e\n \u003cp\u003eTable 1. Baseline Participant Characteristics (n = 6,990)\u003c\/p\u003e\n \u003ctable border=\"1\"\u003e\n \u003ctr\u003e\n \u003cth\u003eCharacteristic\u003c\/th\u003e\n \u003cth\u003eValue\u003c\/th\u003e\n \u003c\/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003eSample size (n)\u003c\/td\u003e\n \u003ctd\u003e6,990\u003c\/td\u003e\n \u003c\/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003eMean baseline weight, kg (SD)\u003c\/td\u003e\n \u003ctd\u003e105.3 (21.8)\u003c\/td\u003e\n \u003c\/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003eMedian baseline weight, kg\u003c\/td\u003e\n \u003ctd\u003e102.3\u003c\/td\u003e\n \u003c\/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003eMeasurement frequency (minimum)\u003c\/td\u003e\n \u003ctd\u003e3 weigh-ins per week\u003c\/td\u003e\n \u003c\/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003eProof engagement attestation\u003c\/td\u003e\n \u003ctd\u003eWeekly (required for inclusion)\u003c\/td\u003e\n \u003c\/tr\u003e\n \u003c\/table\u003e\n\u003c\/div\u003e\n \n\u003cp\u003e\u003cb\u003e3.2 Weight Loss Outcomes\n \u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eMean total weight lost was 21.9 kg (SD 6.8), representing a mean reduction of 21.3% (SD 6.7%) of baseline body\n weight. Median weight lost was 19.6 kg, representing 20.0% of baseline body weight. Weight loss outcomes are presented\n in Table 2.\u003c\/p\u003e\n \n\u003cp\u003eTable 2. Weight Loss Outcomes\u003c\/p\u003e\n\u003cdiv class=\"table_drawer2\"\u003e\n \u003ctable border=\"1\"\u003e\n \u003ctr\u003e\n \u003cth\u003eOutcome\u003c\/th\u003e\n \u003cth\u003eResult\u003c\/th\u003e\n \u003c\/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003eMean weight loss, kg (SD)\u003c\/td\u003e\n \u003ctd\u003e21.9 (6.8)\u003c\/td\u003e\n \u003c\/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003eMedian weight loss, kg\u003c\/td\u003e\n \u003ctd\u003e19.6\u003c\/td\u003e\n \u003c\/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003eMean weight loss, % of baseline (SD)\u003c\/td\u003e\n \u003ctd\u003e21.3% (6.7%)\u003c\/td\u003e\n \u003c\/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003eMedian weight loss, % of baseline\u003c\/td\u003e\n \u003ctd\u003e20.0%\u003c\/td\u003e\n \u003c\/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003eMinimum weight loss, kg\u003c\/td\u003e\n \u003ctd\u003e15.7\u003c\/td\u003e\n \u003c\/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003eMaximum weight loss, kg\u003c\/td\u003e\n \u003ctd\u003e75.4\u003c\/td\u003e\n \u003c\/tr\u003e\n \u003c\/table\u003e\n\u003c\/div\u003e\n\u003cp\u003e\u003cb\u003e3.3 Lean Mass Outcomes\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eThe weighted mean lean mass loss as a percentage of total weight lost was 16.9% across all 6,990 members. The median\n lean mass loss as a percentage of total weight lost was 19.4%. A total of 890 members (12.7%) preserved or increased\n lean mass over the measurement period (lean mass delta ≥ 0). Among the 6,100 members (87.3%) who lost lean mass, the\n mean lean mass loss as a percentage of total weight lost was 22.0%. Lean mass outcomes are presented in Table 3.\u003c\/p\u003e\n \n\u003cp\u003eTable 3. Lean Mass Outcomes\u003c\/p\u003e\n\u003cdiv class=\"table_drawer3\"\u003e\n \u003ctable border=\"1\"\u003e\n \u003ctr\u003e\n \u003cth\u003eOutcome\u003c\/th\u003e\n \u003cth\u003eResult\u003c\/th\u003e\n \u003c\/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003eWeighted mean lean mass loss, % of total weight lost (all members)\u003c\/td\u003e\n \u003ctd\u003e16.9%\u003c\/td\u003e\n \u003c\/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003eMedian lean mass loss, % of total weight lost (all members)\u003c\/td\u003e\n \u003ctd\u003e19.4%\u003c\/td\u003e\n \u003c\/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003eMembers preserving or gaining lean mass, n (%)\u003c\/td\u003e\n \u003ctd\u003e890 (12.7%)\u003c\/td\u003e\n \u003c\/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003eMembers losing lean mass, n (%)\u003c\/td\u003e\n \u003ctd\u003e6,100 (87.3%)\u003c\/td\u003e\n \u003c\/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003eMean lean mass loss, % of total weight lost (among those with lean mass loss)\u003c\/td\u003e\n \u003ctd\u003e22.0%\u003c\/td\u003e\n \u003c\/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003ePublished benchmark (Prado et al., 2024; Neeland et al., 2024)\u003c\/td\u003e\n \u003ctd\u003e25–39% (range across GLP-1 trials)\u003c\/td\u003e\n \u003c\/tr\u003e\n \u003c\/table\u003e\n\u003c\/div\u003e\n \n\u003cp\u003e\u003cb\u003e3.4 Interpretation of the Weighted Mean Outcome\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eThe weighted mean of 16.9% reflects the aggregate population-level ratio of total lean mass change to total weight\n lost across all members. Because members who preserved or gained lean mass (12.7% of the cohort) contribute negative\n lean mass loss values to the numerator, the weighted mean is lower than the mean computed among members who lost lean\n mass exclusively (22.0%). Both measures are reported to provide transparency regarding cohort composition. The\n weighted mean is the primary outcome because it most accurately represents the population-level body composition\n impact of the program.\u003c\/p\u003e\n\u003ch4\u003e4. DISCUSSION\n\u003c\/h4\u003e\n\u003cp\u003eThis analysis demonstrates that Hume Health premium members on GLP‑1 therapy, who met defined body composition\n monitoring and AI protocol engagement criteria, experienced lean mass loss substantially below the benchmarks\n documented in published GLP‑1 clinical trials. The weighted mean lean mass loss of 16.9% of total weight lost compares\n favorably to the 25–39% range reported by Prado et al.³ and the 40–60% upper range reported in some cohorts by Neeland\n et al.²\n\u003c\/p\u003e\n\u003cp\u003eThe mechanism by which frequent body composition measurement and protocol-guided engagement may attenuate lean mass\n loss is consistent with established physiology. Skeletal muscle mass is the primary determinant of resting metabolic\n rate.⁶ Interventions that preserve lean mass during caloric restriction — including higher protein intake, resistance\n exercise, and dose calibration timed to body composition response — are documented to reduce lean mass loss during\n weight reduction. The Hume platform protocol facilitates tissue-level visibility that enables these calibrations in\n near real-time; the present analysis cannot isolate which components of the program contributed to the observed\n outcomes.\n\u003c\/p\u003e\n\u003cp\u003eThe finding that 12.7% of members preserved or gained lean mass during GLP‑1-assisted weight loss is notable. This\n subgroup is likely influenced by favorable baseline characteristics, behavioral factors, and variability in BIA\n measurement across conditions, and should not be interpreted as a program-level guarantee of lean mass preservation.\n Its inclusion in the weighted mean reduces the reported aggregate lean mass loss figure relative to analyses\n restricted to members who lost lean mass.\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003e4.1 Limitations\n \u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eThis analysis has several limitations that should be considered when interpreting results. First, the study is\n retrospective and observational, without a concurrent control group. Comparison to published clinical trial benchmarks\n involves differences in population, measurement methodology, and GLP‑1 agent. Second, body composition was measured\n via bioelectrical impedance analysis rather than dual-energy X-ray absorptiometry (DXA) or magnetic resonance imaging\n (MRI), which are considered the reference standards for lean mass quantification. BIA measurements are sensitive to\n hydration status, time of measurement, and device calibration, and may produce systematic differences relative to\n DXA-derived lean mass values. Third, the cohort consists of premium-tier members who met a minimum engagement\n threshold; results may not generalize to members with lower engagement frequency or to non-engaged GLP‑1 users.\n Fourth, no information on dietary protein intake, resistance exercise participation, or specific GLP‑1 agent and\n dosing schedule was incorporated into this analysis, and these variables are likely to influence lean mass outcomes.\n Fifth, the duration of the measurement window varied across members and was determined by the interval between peak\n and nadir weight rather than a fixed protocol period.\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003e4.2 Future Directions\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eProspective controlled study designs with standardized measurement protocols, dietary and exercise co-variate\n capture, and DXA-validated BIA calibration would provide stronger evidence for the role of high-frequency monitoring\n and AI-guided adherence in lean mass preservation during GLP‑1 therapy. Subgroup analyses examining the impact of\n engagement frequency, protein intake, resistance training participation, and GLP‑1 agent on lean mass outcomes would\n further characterize the mechanisms underlying these findings.\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003e5. CONCLUSIONS\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eAmong 6,990 Hume Health premium members on GLP‑1 therapy who met defined body composition monitoring and AI protocol\n engagement criteria, the weighted mean lean mass loss as a percentage of total weight lost was 16.9%. This is\n substantially below the 25–39% range reported in published GLP‑1 clinical trial literature. The median lean mass loss\n was 19.4%. These findings are consistent with the hypothesis that high-frequency tissue-level monitoring, combined\n with AI-guided protocol adherence and physician oversight informed by body composition data, supports favorable lean\n mass outcomes during medically assisted weight loss. Prospective controlled research is needed to confirm these\n findings and to isolate the active components of the platform protocol.\n\u003c\/p\u003e\n \n\u003ch4\u003eREFERENCES\u003c\/h4\u003e\n \n\u003cp\u003e1. Wilding JPH, Batterham RL, Calanna S, et al. Once-Weekly Semaglutide in Adults with Overweight or Obesity. N Engl\n J Med. 2021;384(11):989–1002. doi:10.1056\/NEJMoa2032183.\u003c\/p\u003e\n\u003cp\u003e2. Neeland IJ, Linge J, Birkenfeld AL. Changes in lean body mass with glucagon-like peptide-1-based therapies and\n mitigation strategies. Diabetes Obes Metab. 2024;26(Suppl 4):16–27. doi:10.1111\/dom.15728.\u003c\/p\u003e\n\u003cp\u003e3. Prado CM, Phillips SM, Gonzalez MC, Heymsfield SB. Muscle matters: the effects of medically induced weight loss on\n skeletal muscle. Lancet Diabetes Endocrinol. 2024;12(11):785–787. doi:10.1016\/S2213-8587(24)00272-9.\u003c\/p\u003e\n\u003cp\u003e4. Wilding JPH, Batterham RL, Davies M, et al. Weight regain and cardiometabolic effects after withdrawal of\n semaglutide: The STEP 1 trial extension. Diabetes Obes Metab. 2022;24(8):1553–1564. doi:10.1111\/dom.14725.\u003c\/p\u003e\n\u003cp\u003e5. Hume Health Corp. Lean Mass Preservation in GLP‑1 Members: An Internal Outcomes Analysis. 2024. Analysis of 6,990\n premium members. Methodology available on request: research@humehealth.com.\n\u003c\/p\u003e\n\u003cp\u003e6. Ravussin E, Bogardus C. Skeletal muscle metabolism is a major determinant of resting energy expenditure. J Appl\n Physiol. 1989;66(3). PMID:2243122.\n\u003c\/p\u003e\n \n\u003cp\u003e\u003cb\u003eDisclosure Statement\n \u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eThis analysis was conducted by Hume Health Corp using data from the Hume Health platform. Hume Health Corp is the\n developer of the body composition monitoring hardware (Hume Body Pod) and AI guidance system (Pro.f) evaluated in this\n analysis. No external funding was received. The analysis has not undergone independent peer review. Investigators have\n an inherent commercial interest in the outcomes described.\u003c\/p\u003e" }, "width": 750, "transitionDuration": 150 }

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Band 2.0

Hume Pod

Hume Pod 2.0

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45-day home trial
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4.5 million+ users
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“Our patients are losing fat faster, while preventing muscle loss.”

Dr. Yas Dominguez Verified practitioner

“Our patients are losing fat faster, while preventing muscle loss.”

Dr. Yas Dominguez Verified practitioner

Best Seller#1 Choice For Doctors & Practitioners

The Hume Pod

4.8 48,252+ reviews

See fat, muscle and water split out every morning, within 2% of a DEXA scan.

$229$366Save $137

18 payments of $12.72, no interest with

Lose fat without slowing your metabolism

Build muscle 3x faster, see where it grows

Track symmetry and metabolic age

Unlock 50% Discount 1,339 USED Switch it on to pay $183 instead of $229. Switch it on to pay $183 instead of $229.3x your chance of hitting your goals with the deep insights from the Pod. 3x your chance of hitting your goals with the deep insights from the Pod.

Protection plan (choose one)

1-year warrantyFree replacement if anything fails Included

10-year warrantyBest valueSensor cover and servicing for a decade +$46$70

In stock. Order in – for KW delivery by –

45-day refund
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Free app included

Most Pod owners add this

Add Hume Band 2.0

The Pod shows what changed. The Band shows why: sleep, HRV and recovery.

+$249Regular price$356

Sleep stages and HRV every night
Recovery score that tells you when to push
Same app as your Pod, no monthly fee

45-day money-back guarantee

Not seeing results? Send it back within 45 days for a full refund.

How can I be sure it's as accurate as you claim?

Third-party testing puts the Pod within 2% of a DEXA scan.

See the accuracy report →

See real progress your scale can't show
Understand how diet, training & meds affect you
Correct imbalances with symmetry insights

See it in action

Clinic accuracy for less than 3 DEXA visits.

A DEXA scan costs around $100 a visit and tells you about one day. The Pod gives you the same picture every morning, at home.

98%

Within about 2% of a DEXA scan, based on independent testing

See the accuracy report →

Body scan accuracy vs DEXA

Fat mass 88%

Muscle mass 91.1%

Visceral fat 86.2%

Water weight 96.6%

Hume PodDEXA scan (100%)

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Get better results with deeper insights.

88%

reached their goal weight within 5 months

84%

felt healthier and more motivated after 30 days

93%

built healthier habits within 60 days

Based on a survey of 60 current Hume members rating their own results.

Based on a survey of 110,131+ current Hume members rating their own results.

30 seconds, every morning.

1

Step on, grip the bar

Barefoot on the glass, hands on the sensor bar. That's how it reads your arms and torso, not just your legs.
2

Get 45 readings in the app

Body fat, muscle, water, visceral fat and metabolic age land on your phone before you've put the kettle on.
3

Watch the trend, ignore the noise

Weekly lines strip out water and meal swings, so a good week looks like a good week.

Hume Health customer feature — Ben: weight

Losing weight? Make sure it's fat.

Diets strip muscle along with fat, and the scale counts both as a win. The Pod shows you which one went.

Body fat % drops even on weeks the scale doesn't
Spot water weight before it ruins your week

Hume Health customer feature — Ben: strength

Training? See where the muscle went on.

Arm, leg and torso readings show where you're building and where you're lopsided, the kind of imbalance that turns into back pain.

Segmental muscle for each arm, leg and your torso
Left vs right symmetry score

Hume Health customer feature — Ben: longevity

Thinking long term? Watch the quiet numbers.

Visceral fat, bone mass and metabolic age change slowly and silently. The Pod flags the drift years before a mirror would.

Visceral fat, the fat around your organs
Metabolic age against your real age

Sarah Bacon

3x Olympic Silver Medalist

"For diving, small changes matter. This helps me see what’s really changing."

Sarah Bacon

Belal Muhammad

2x UFC World Champion

"Training and weight cuts are demanding. This gives me clearer insight into how my body is handling both."

Belal Muhammad

Tim Biohacker

Europe’s Leading Biohacker

"As a biohacker, I've tried countless body analyzers, and Hume's Body Pod is one of the most accurate I've found for tracking fat and muscle mass. Precision matters because body composition is what really drives longevity, performance, and metabolic health."

"Hume's Pod is one of the most accurate I've found for tracking fat and muscle mass."

Tim Biohacker

"The scale is easy to use and provides a lot of helpful health info for your health journey."

Debbye Lewis

Brianna McNeal

Olympic Silver Medalist

"It helps me understand how my body adapts to speed work, strength training, and recovery."

Brianna McNeal

Emily Loogman

3x CrossFit Games

"With the mix of lifting and endurance in CrossFit, understanding body composition is far more useful than tracking weight alone."

Emily Loogman

"Linking to Apple Health was simple and the app works great, love the recommendations."

Jorge

Frank Gore

5× NFL Pro Bowl

"Longevity in football comes down to how well your body holds up. This gives clearer insight than weight alone."

Frank Gore

One step each morning. Everything you need to see progress.

45 readings land in the free Hume app before you've made coffee. Here's what that gets you.

Track the 45 metrics that matter.

Body fat, muscle, water, visceral fat, bone mass and metabolic age, all from one step.

Stop weight swings hiding your progress.

Multi-frequency BIA shows fat and muscle changes in your arms, legs and midsection.

98% accuracy, lab quality at home.

Third-party studies show reliable, repeatable readings, so you can trust the trend.

One Pod for the whole family.

Up to 24 people, each with their own app profile. Free for everyone.

Syncs with the apps you already use.

Apple Health, Google Fit and Samsung Health, connected in a tap.

Trusted by athletes, trainers and doctors.

Used in weight loss clinics and gyms because the numbers hold up.

Spot imbalances while they're easy to fix.

See how muscle splits across your upper and lower body, then fix it before it hurts.

Free worldwide express shipping.

Designed, built and shipped by Hume from Benicia, California.

Your wins are worth sharing.

Send a scan to your trainer or partner in one click, trends included.

Built for every age and body type.

Accurate up to 400 lbs, with benchmarks for your age, not an average.

How the Hume Pod stacks up

Accuracy vs DEXA98%99%

Use daily at home

Personalized insights

Coaching and feedback

Weekly health reports

HSA/FSA eligible

Arm, leg and torso data

Price$229 once$25,000

A medical-grade analyzer costs around $25,000, and a clinic scan is about $100 a visit.
The Pod is $229 once, and you can use it every morning.

Close-up of the black Hume Pod 2.0 analyzer on a neutral background

★★★★★(4.8/5.0) 48,252+

“I was hesitant until I saw the 45 day home trial. After giving it a go, once I assessed the data against my DEXA readings there was no way I would go back to spending $60 per session.”

Your 45-day at-home trial.

Use the Pod for 45 days. Track your weight, heart rate and body composition, and see what changes.

Not convinced? Send it back for a full refund. No questions asked.

Start your home trial

Questions before you order

Yes—our Hume Pod is built on science. Our products are grounded in research and tested against medical-grade devices. In an independent study conducted by Socotech, the Hume Pod was shown to be within ±3% accuracy of a DEXA scan—the gold standard for body composition measurement.

We're so confident in our accuracy and results that we offer a 45-day no-questions-asked trial and return policy. Try it for yourself and feel the difference.