{ "type": "slideout", "content": { "title": "45-Metric List", "content": "\u003cp\u003e\u003cstrong\u003eCore totals (20)\u003c\/strong\u003e\u003c\/p\u003e\u003col\u003e\u003cli\u003eWeight\u003c\/li\u003e\u003cli\u003eBMI\u003c\/li\u003e\u003cli\u003eBody Fat Rate (aka body fat %)\u003c\/li\u003e\u003cli\u003eBody Fat Percentage\u003c\/li\u003e\u003cli\u003eFat Mass\u003c\/li\u003e\u003cli\u003eMuscle Mass\u003c\/li\u003e\u003cli\u003eSkeletal Muscle Mass\u003c\/li\u003e\u003cli\u003eMuscle vs Fat Ratio\u003c\/li\u003e\u003cli\u003eVisceral Fat\u003c\/li\u003e\u003cli\u003eMetabolic Age\u003c\/li\u003e\u003cli\u003eBasal Metabolic Rate (BMR)\u003c\/li\u003e\u003cli\u003eHydration (status\/level)\u003c\/li\u003e\u003cli\u003eWater Weight\u003c\/li\u003e\u003cli\u003eTotal Body Water (TBW)\u003c\/li\u003e\u003cli\u003eIntracellular Water (ICW)\u003c\/li\u003e\u003cli\u003eExtracellular Water (ECW)\u003c\/li\u003e\u003cli\u003eProtein Levels\u003c\/li\u003e\u003cli\u003eBone mineral content \/ “bone” metric (often marketed as bone density)\u003c\/li\u003e\u003cli\u003eHeart health \u003c\/li\u003e\u003cli\u003eFull-body segmental scan coverage (arms\/torso\/legs)\u003cbr\/\u003e\u003c\/li\u003e\u003c\/ol\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eSegmental fat % (5)\u003c\/strong\u003e\u003c\/p\u003e\u003col\u003e\u003cli\u003eRight Arm Fat %\u003c\/li\u003e\u003cli\u003eLeft Arm Fat %\u003c\/li\u003e\u003cli\u003eTrunk Fat %\u003c\/li\u003e\u003cli\u003eRight Leg Fat %\u003c\/li\u003e\u003cli\u003eLeft Leg Fat %\u003cbr\/\u003e\u003c\/li\u003e\u003c\/ol\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eSegmental muscle\/lean outputs (5)\u003cbr\/\u003e\u003c\/strong\u003e\u003c\/p\u003e\u003col\u003e\u003cli\u003eRight Arm Muscle\/Lean (segmental)\u003c\/li\u003e\u003cli\u003eLeft Arm Muscle\/Lean (segmental)\u003c\/li\u003e\u003cli\u003eTrunk Muscle\/Lean (segmental)\u003c\/li\u003e\u003cli\u003eRight Leg Muscle\/Lean (segmental)\u003c\/li\u003e\u003cli\u003eLeft Leg Muscle\/Lean (segmental)\u003c\/li\u003e\u003c\/ol\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eSegmental muscle\/water balance ratings (5)\u003cbr\/\u003e\u003c\/strong\u003e\u003c\/p\u003e\u003col\u003e\u003cli\u003eRight Arm Muscle\/Water Balance %\u003c\/li\u003e\u003cli\u003eLeft Arm Muscle\/Water Balance %\u003c\/li\u003e\u003cli\u003eTorso Muscle\/Water Balance %\u003c\/li\u003e\u003cli\u003eRight Leg Muscle\/Water Balance %\u003c\/li\u003e\u003cli\u003eLeft Leg Muscle\/Water Balance %\u003c\/li\u003e\u003c\/ol\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eSegmental intracellular-water health (5)\u003cbr\/\u003e\u003c\/strong\u003e\u003c\/p\u003e\u003col\u003e\u003cli\u003eRight Arm ICW health (segmental)\u003c\/li\u003e\u003cli\u003eLeft Arm ICW health (segmental)\u003c\/li\u003e\u003cli\u003eTorso ICW health (segmental)\u003c\/li\u003e\u003cli\u003eRight Leg ICW health (segmental)\u003c\/li\u003e\u003cli\u003eLeft Leg ICW health (segmental)\u003c\/li\u003e\u003c\/ol\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eScoring + insights shown in creative (5)\u003cbr\/\u003e\u003c\/strong\u003e\u003c\/p\u003e\u003col\u003e\u003cli\u003eOverall Health Score\u003c\/li\u003e\u003cli\u003eBody Composition Grade\u003c\/li\u003e\u003cli\u003eActivity Grade\u003c\/li\u003e\u003cli\u003eSleep Grade\u003c\/li\u003e\u003cli\u003eRight-vs-left limb difference flag (lean\/muscle asymmetry callout)\u003cbr\/\u003e\u003c\/li\u003e\u003c\/ol\u003e" }, "width": 750, "transitionDuration": 150 }

{ "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 }

Introducing Hume Pod 2.0

See what weight alone can’t.

Name: The Hume Pod Black 2.0
Brand: Hume Health
SKU: HH-HPB
Price: 2381.6 NOK
Availability: InStock

A 3D body composition scan for home. Map fat, muscle, visceral fat, hydration, symmetry, and metabolic health, then turn each scan into a living Digital Twin powered by Hume HealthOS.

Shop Hume Pod 2.0 Explore

Build a clearer picture of your body over time

Hume Pod 2.0 maps how your body responds to nutrition, training, sleep, recovery, lifestyle, and medication, helping you understand what is changing and what to adjust next.

99%Body-fat accuracy compared with DEXA

Built for Every Body. Every Goal.

Hume continuously monitors the biomarkers that shape long-term health, giving you insights into how your habits affect your body.

Weight Loss

Lose fat, not muscle.

Weight loss doesn’t always mean fat loss. See whether you’re losing body fat or valuable muscle, so you know if your progress is actually healthy progress.

GLP-1 Medication

Know what you’re actually losing.

Rapid weight loss can include both fat and lean mass. Track your body composition as the weight comes off to help ensure you’re preserving the muscle that keeps you strong.

Longevity

Track the dangerous fat you can’t see.

Visceral fat is the deep fat stored around your internal organs and higher levels are linked to greater cardiometabolic health risks. Track it alongside muscle mass to understand more than your weight.

Muscle Gain

See if your hard work is building muscle.

Track muscle mass and body fat to see whether your training and nutrition are actually changing your body—not just the number on the scale.

Healthy Aging

Protect the muscle that keeps you independent.

Muscle becomes increasingly important as you age. Monitor muscle mass and body composition trends to help maintain strength, mobility, and independence for longer.

Athletes

See how your body adapts to training.

Track muscle development, body composition, and segmental changes across your body to better understand your progress and performance.

Family Health

One Pod. A healthier picture for everyone.

Give your household more than a weight measurement. Track body fat, muscle mass, visceral fat, and body composition trends for every member of the family.

Trusted At The Highest Level

Built for people who need to know their body.

From recovery to body composition, Hume helps high performers see the changes that weight alone can't reveal.

World Champion / Olympic Silver Medalist

Brianna McNeal

"Hume Pod 2.0 removes all the guesswork on what’s working with my training"

World Champion / 5× NFL Pro Bowl

Frank Gore

“Everyone needs one of these if they’re trying to optimize health”

World Champion / 3x Olympic Silver Medalist

Sarah Bacon

“Being able to see my body fat and muscle change has been game changing”

2x UFC World Champion

Belal Muhammad

"This has been key in optimizing my fitness and training"

Europe’s Leading Biohacker

Tim Bio-Hacker

“Surprise to see how accurate the Hume Pod 2.0 is, tracking body composition is key”

1200+ Elite athletes

4.5M+ Hume members

58 Countries

4.8 Customer rating

A clinical body scan, built for home

Map your body in 3D.

Step on. Hold the sensors. Hume analyzes your body segment by segment to reveal fat, muscle, visceral fat, hydration, symmetry and metabolic health — creating a detailed map that evolves every time you scan.

Make sure weight loss isn’t costing you more than fat.
Losing weight can also mean losing valuable lean tissue. Track what you're preserving as the pounds come off, so getting lighter doesn’t mean getting weaker.

Weight loss, strength, metabolism & healthy aging

Know if your progress is real. The scale can go down without you losing the fat you want to lose. See whether your body fat is actually changing, so you know if your diet and training are working.

Fat loss, metabolic health & body composition

See the dangerous fat you can’t see.Visceral fat sits deep around your internal organs, invisible in the mirror. Higher levels are associated with greater cardiometabolic risk—making it one of the numbers worth knowing.

Heart health, metabolic health & type 2 diabetes risk

Stay strong for the life ahead.Muscle is closely linked to strength, mobility, and independence as you age. See whether you’re building it, maintaining it, or quietly losing it over time.

Strength, mobility, independence & longevity

See if the stubborn fat is finally moving. It’s the fat stored beneath your skin—the fat you can pinch around your stomach, hips, thighs, and arms. Track whether it’s actually changing, even when the scale barely moves.

Fat loss, body transformation & body composition

Know when your body needs more.Your hydration level can affect how you feel, perform, and recover. Track changes in body water to better understand what your body needs day to day.

Energy, performance, recovery & wellbeing

Protect the foundation you’ll depend on later.Bone health becomes increasingly important as you age. Monitor estimated bone-related trends over time so you can keep strength, mobility, and healthy aging top of mind.

Bone health, mobility, independence & healthy aging

Find the imbalance behind how you move.One side of your body may be compensating for the other without you realizing it. See muscle imbalances that can affect movement and posture and may contribute to issues like back discomfort.

Posture, back health, movement & performance

Know how the engine behind your body is doing.Follow cardiovascular-related signals and circulation trends over time, giving you another window into how your fitness and overall health are changing.

Heart health, circulation, fitness & longevity

Meet your Digital Twin

A living model of you.

Every scan adds another layer to your Digital Twin. See where your body is changing, understand your trajectory, and follow progress the mirror — and weight alone — can't show.

Research-grade sensing

Rebuilt for greater accuracy.

Highly precise hand and foot sensors analyze your arms, legs and trunk separately — delivering detailed body-composition data from home.

99% Body-fat accuracy compared with DEXA*

97% Lean-mass accuracy compared with clinical-grade scanning*

8 Hand and foot sensors for segmental body analysis

Everyday body sensing

Follow the body-composition markers that matter for long-term health, from visceral fat to skeletal muscle and metabolic age.

Personalized intelligence

Your data, translated into action.

Hume AI helps interpret your scans and connected health data to show you what's working, what may be holding you back, and what to change next.

CONNECT THE DOTS

Your whole health. One app.
One HealthOS.

Your body's signals, connected. Bring body composition, sleep, activity and recovery into one clear picture.

Your Digital Twin

A clearer picture of you.

Illustrative health data

Excellent | 5.0 reviews

How has Hume Pod 2.0 helped people reach their goals?

"I finally know what's actually changing"
I'd been dieting for months and the scale barely moved, so I figured nothing was working. The Hume Pod 2.0 showed me I was losing fat the whole time, just gaining a bit of muscle too. Seeing the actual breakdown instead of just one number completely changed how I think about progress. Setup was easy and the app makes the data really easy to understand.

Priya

Verified Member

"Way more useful than a regular scale"
I've used a lot of scales over the years and the Hume Pod 2.0 is the first one that actually tells me something useful. I can see my muscle mass trending up week over week, which is exactly what I wanted to know during my training block. The trend graphs are great for staying motivated even when day-to-day numbers bounce around.

Marcus

Verified Member

"Great for our whole family"
We got the Hume Pod 2.0 for the household and everyone has their own profile, which makes it easy to track separately. My partner and I check in most mornings and compare our trends. It's simple enough that even my teenager uses it without any help. Genuinely one of the better health gadgets we've bought.

Renée

Verified Member

"Helped me train smarter"
As someone who trains regularly, I wanted more than just a weight number. The Hume Pod 2.0 lets me see body composition and symmetry data, which has helped me adjust my program and actually see whether it's working. The scan takes seconds and syncing to the app is seamless. Highly recommend it if you're serious about tracking progress.

Owen

Verified Member

How Hume Pod 2.0 stacks up

Accuracy

Personalized Insights

Coaching & Feedback

Price

HSA/FSA Eligible

Weekly Health Reports

Personalized Health Programs

Hume Pod 2.0

98%

$229

Medical grade analyzer

98%

$25,000

Other smart scale

89%

$80

Join a Supportive Community
of Over 4.5 Million+ Users

Hume Pod 2.0 FAQs

How does the Hume Pod 2.0 actually work?

The Hume Pod 2.0 uses 8-frequency bioelectrical impedance analysis (BIA) sensors to scan multiple tissue layers and measure fat, muscle, and water composition. Its segmental handle system scans your torso, arms, and legs individually, not just your lower body like standard smart scales, and its dual-point contact design (base platform plus hand sensors) is built for more consistent readings than single-point devices.

What can I track?

Understand whether weight change is coming from fat, muscle, or water, not just the number on the scale. Body fat tracking shows whether you're burning fat or losing water that comes right back. Muscle mass measurement reveals gains even when total weight stays flat. Visceral fat monitoring follows the fat stored around your organs. Trend graphs filter out day-to-day noise from water retention and meal timing, so you can compare your body composition across weeks, months, or a year.

What are the technical specifications?

Four high-precision weight sensors, weight range 5–200 kg (9–400 lbs), 50 g (0.1 lb) precision. High-strength tempered glass platform, 12.7 x 12.7 x 1.1 in. Advanced Bluetooth connection, dual-frequency body fat sensing, built-in heart rate sensor. 2.8" display. Rechargeable Li-ion battery, up to 1 year per charge, 30-minute fast charge.

Does it sync with my Fitbit or Apple?

Yes, Hume syncs with Apple Health, Fitbit, Garmin, and more, so your activity and sleep data connect with your body composition in one place.

Are these technologies safe?

Yes. Hume's BIA technology has been used safely for over 20 years, with a patented BIA frequency for greater accuracy than standard smart scales. For customers with cardiac devices like pacemakers or ICDs implanted after 1992, the Hume Pod 2.0 is safe to use; multiple studies have shown no interference with these devices during BIA measurement.

Does it show weekly trends in a graph?

Yes. Hume displays weekly, monthly, and yearly averages for weight and other body composition metrics, so you can spot trends and track progress over time.

Weighing in for the first time?

Place your scale on an uncarpeted, flat surface. Make sure your phone's Bluetooth is active. With bare feet, step onto the scale until it displays 0.00. Open the Hume Health App, tap "measurement," and select the Hume Pod 2.0 from your device list. Standing fully upright and facing forward, hold both handles steady until the app signals your weigh-in is complete.

How to get the best results?

Start your day with a morning weigh-in for consistent tracking, minimizing fluctuations from meals and fluids. Keep the same time and place for each weigh-in. Weight varies day to day and even hour to hour, so focus on trends; by focusing on these trends, you get a clearer picture of your progress and patterns. If you miss your usual time, don't skip the day, just do it later.

Thousand of reviews from extraordinary people like you

See more reviews

(4.8/5.0) 48,252 Reviews

As a doctor, I’m impressed Most of my patients come in wanting a "magic pill" for longevity, but the truth is, daily habits matter more than anything. That’s why I was thrilled to discover the Hume Band. Unlike other wearables that focus on generic metrics, it tracks metabolic capacity—a key indicator of cellular health and aging. The data is presented in a way that’s accessible (no medical degree required!), and I’ve started recommending it to patients who want to take control of their health. One diabetic patient even reduced his insulin resistance by 20% after using the band’s insights to tweak his exercise and meal timing. For anyone serious about preventive health, this is a game-changer.

I can’t say enough good things about the Hume Band. One of the most impressive features for me has been the Metabolic Capacity. It flagged signs of strain on my body before I even realized something was wrong—turns out I had a chest infection! Thanks to the early warning, I was able to get checked out and start treatment before things got worse. The Band itself is super comfortable to wear all day and night. It gives me detailed insights on how my habit is impacting my energy levels and how to increase my metabolic capacity, and now I truly listen to what my body needs. The app is really intuitive, and the health data feels incredibly personalized and accurate. If you’re looking for a smart health tracker that goes beyond tracking fitness and sleep, the Hume Band is the one. I genuinely feel more in tune with my health, and in this case, it may have even helped me catch a serious issue early. Highly recommended!

I bought this on a whim—now I can’t imagine life without it.
I wasn’t sure what to expect, but the Hume Band has become my daily health coach. It tracks things I didn’t even know mattered (like metabolic momentum) and shows me exactly how my choices affect my body. The app is sleek and user-friendly, and I love the weekly reports. My partner saw my results and ordered one for himself—now we’re both hooked!

I’ve tried every health tracker out there, and the Hume Band is in a league of its own. Most wearables just count steps or monitor heart rate, but the Hume Band goes deeper—tracking metabolic momentum and capacity to show how my daily habits impact my long-term health. The app breaks everything down in a way that’s easy to understand, and I’ve already made small tweaks (like adjusting my meal timing and sleep routine) that have had a huge impact on my energy. If you’re serious about longevity, this is a must.

Fitness tracker band 2.0 with woven charcoal grey fabric strap and metal buckle clasp, shown on white background

48,252+ Reviews

The Hume Pod White 2.0

18 interest-free payments of 148,53 kr

~~4.113 kr~~ 2.669 kr

The Hume Pod White 2.0

4.113 kr

2.673 kr

Shop Now

Spend smart with your HSA or FSA 💰

Make your money go further

We handle eligibility. Guaranteed.

Receipts, handled

Forget filing for reimbursements. We got you.

Don't have your HSA/FSA card handy?

Use your credit card. We'll help with the rest.

See what weight alone can’t.

Build a clearer picture of your body over time

Built for Every Body. Every Goal.

Lose fat, not muscle.

Know what you’re actually losing.

Track the dangerous fat you can’t see.

See if your hard work is building muscle.

Protect the muscle that keeps you independent.

See how your body adapts to training.

One Pod. A healthier picture for everyone.

Built for people who need to know their body.

Map your body in 3D.

A living model of you.

Rebuilt for greater accuracy.

Get ahead of your health.

Lose fat, not muscle

Build muscle with proof

See body symmetry

Measure for longevity

Lose fat, not muscle

Build muscle with proof

See body symmetry

Measure for longevity

Lose fat, not muscle

Build muscle with proof

See body symmetry

Measure for longevity

Lose fat, not muscle

Build muscle with proof

See body symmetry

Measure for longevity

Lose fat, not muscle

Build muscle with proof

See body symmetry

Measure for longevity

Lose fat, not muscle

Build muscle with proof

See body symmetry

Measure for longevity

Your data, translated into action.

Your Digital Twin

How has Hume Pod 2.0 helped people reach their goals?

The Hume Pod 2.0

Choose your optional add-ons:

10-Year Warranty

Not satisfied within 45 days? Get a full refund

Looking for more information?

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

What can I track?

Does Hume Pod 2.0 actually work?

Can it be used by multiple users?

How to get the most accurate results

Shipping & Returns

FAQs

1. Is the app free?

2. Can it be used by multiple users?

3. What does my warranty cover?

4. If I don't like it, can I return it?

5. What is the maximum weight?

6. What is the process of shipping and returns with Hume Health?

Join a Supportive Community of Over 4.5 Million+ Users

Hume Pod 2.0 FAQs

How does the Hume Pod 2.0 actually work?

What can I track?

What are the technical specifications?

Does it sync with my Fitbit or Apple?

Are these technologies safe?

Does it show weekly trends in a graph?

Weighing in for the first time?

How to get the best results?

Thousand of reviews from extraordinary people like you

The Hume Pod White 2.0

Join a Supportive Community
of Over 4.5 Million+ Users