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Physiotropism

Methodological considerations

Working document · last revised July 2026 · accessible at all times, with or without a completed assessment or account

1. Scope and intent

The Physiotropism assessment estimates self-reported discrepancybetween preferred and actual states across four dimensions: circadian timing, social contact, novelty/stimulation, and value-consistent action. It is a structured self-reflection instrument, not a diagnostic test. All figures presented in the report are normalized distances from the respondent’s own stated preferences ("set points"); they carry no population norms and are not standardized scores.

2. Construct provenance

Item formats draw on constructs with substantial independent literatures. The circadian items adapt the logic of morningness–eveningness and mid-sleep measures [1, 2], including the free-day/workday contrast underlying social jetlag [3]. The waking-ease slope follows the pragmatic tradition of single-item circadian screening [2]. The values items adapt the importance-versus-consistency structure of the Valued Living Questionnaire [4], and the internal-blocker items follow the experiential-avoidance and psychological-inflexibility constructs measured by the AAQ-II and related scales [5, 6]. The distinction drawn in the report between avoidance-driven and distraction-driven gaps reflects process-based accounts in acceptance and commitment therapy [6, 7]. Preference–environment discrepancy as a wellbeing predictor is consistent with person–environment fit theory [8].

3. Psychometric status

This specific battery has not undergone formal reliability testing, factor analysis, or criterion validation. Several dimensions rest on single items or very short scales, trading precision for brevity; test–retest stability is unknown. Conditional branching means different respondents complete different item sets, which complicates between-person comparison. The 2-hour cap on circadian mismatch, the 12-hour social-allocation frame, the importance-weighting of value gaps, and the blocker amplifier (1.0–1.5×) are design choices made for interpretability, not empirically estimated parameters. Severity bands (low to high) are heuristic cut points, not clinical thresholds.

4. Known limitations and bias

All inputs are self-report and subject to recall bias, current-mood effects, and social desirability. Stated "ideal" preferences elicited in a single sitting can drift with circumstances and framing. Discrepancy scores establish association at best; nothing in this instrument establishes causation between any measured gap and any symptom or outcome. Clinical footnotes shown in some reports are pattern flags intended to prompt professional consultation; they are explicitly not diagnoses, and their sensitivity and specificity are unquantified.

5. Claims discipline

We do not claim this assessment diagnoses any condition, predicts clinical outcomes, or substitutes for professional evaluation. Statements about treatability in the report refer to the general treatment literature for the underlying conditions (e.g., social anxiety disorder [9]; circadian rhythm sleep–wake disorders [10]), not to anything this instrument can establish about an individual. Every percentage is presented as distance from the respondent’s own set point, with the computation shown beneath each chart.

6. Future directions

Planned work includes item-level reliability estimation on a consented research sample, convergent validation against the established instruments cited below, and calibration of severity bands against wellbeing outcomes. Until then, results should be read as structured self-reflection.

References

  1. Horne JA, Östberg O. A self-assessment questionnaire to determine morningness–eveningness in human circadian rhythms. Int J Chronobiol. 1976;4(2):97–110.
  2. Roenneberg T, Wirz-Justice A, Merrow M. Life between clocks: daily temporal patterns of human chronotypes. J Biol Rhythms. 2003;18(1):80–90.
  3. Wittmann M, Dinich J, Merrow M, Roenneberg T. Social jetlag: misalignment of biological and social time. Chronobiol Int. 2006;23(1–2):497–509.
  4. Wilson KG, Sandoz EK, Kitchens J, Roberts M. The Valued Living Questionnaire: defining and measuring valued action within a behavioral framework. Psychol Rec. 2010;60(2):249–272.
  5. Bond FW, Hayes SC, Baer RA, et al. Preliminary psychometric properties of the Acceptance and Action Questionnaire–II. Behav Ther. 2011;42(4):676–688.
  6. Hayes SC, Strosahl KD, Wilson KG. Acceptance and Commitment Therapy: The Process and Practice of Mindful Change. 2nd ed. Guilford Press; 2012.
  7. Kashdan TB, Rottenberg J. Psychological flexibility as a fundamental aspect of health. Clin Psychol Rev. 2010;30(7):865–878.
  8. Edwards JR, Caplan RD, Van Harrison R. Person–environment fit theory. In: Cooper CL, ed. Theories of Organizational Stress. Oxford University Press; 1998:28–67.
  9. Mayo-Wilson E, Dias S, Mavranezouli I, et al. Psychological and pharmacological interventions for social anxiety disorder: a systematic review and network meta-analysis. Lancet Psychiatry. 2014;1(5):368–376.
  10. Auger RR, Burgess HJ, Emens JS, et al. Clinical practice guideline for the treatment of intrinsic circadian rhythm sleep–wake disorders. J Clin Sleep Med. 2015;11(10):1199–1236.

Front-page figures

The two-column figures on the home page are illustrative summaries drawn from the literatures below. Each measures a single preference–environment mismatch (or its alignment) in a distinct sample; they are not additive, not drawn from one cohort, and not claims about this instrument. Effect sizes are reported as published and, where noted, re-expressed for a general audience.

  1. +87% depression.Pooled odds of depression for social jetlag >2h vs lower (OR 1.87, 95% CI 1.73–2.02); anxiety rose alongside (Fisher's z = 0.49 at >2h). Systematic review and meta-analysis in adolescents and young adults. Certainty graded low — interpret as association, not causation. Lu et al., Depression and Anxiety, 2026.
  2. 2.6× anxiety.Odds of an anxiety disorder (GAD-7 ≥ 10) for social jetlag >2h (OR 2.61, 95% CI 1.10–6.17; women OR 3.70), cross-sectional, 9,874 adults. Wide interval; single study. PLOS ONE, 2024.
  3. +62% substance use. Higher smoking, with cannabis +55% and alcohol +21%, associated with chronic under-stimulation / leisure boredom. Founder to finalize the specific citation before launch.
  4. +1 hr aligned sleep.Intervention aligning shift schedules to workers' chronotypes reduced social jetlag by ~1 hour and produced longer, better-rated sleep, higher workday wellbeing, and greater free-time satisfaction (strongest in early types). Vetter C, Fischer D, Matera JL, Roenneberg T. Aligning work and circadian time in shift workers improves sleep and reduces circadian disruption. Curr Biol.2015;25(7):907–911.
  5. 74% living by your values.Meta-analytic effect of values-based / acceptance-and-commitment interventions on wellbeing (d ≈ 0.6), re-expressed as Cohen's U3 (~74% of treated exceed the untreated median). Related gains in psychological flexibility (SMD ≈ 0.50, AAQ-based) and, for self-concordant goals, sustained effort and vitality (r ≈ .34–.41). See references [4]–[7] above; A-Tjak et al., Psychother Psychosom. 2015; Sheldon & Elliot, J Pers Soc Psychol. 1999.
  6. +50% survival. Increased likelihood of survival for people with stronger social relationships (OR 1.50, i.e. ~50% higher odds), meta-analysis of 148 studies / 308,849 participants. Measures level of social connection, not preference-fit specifically. Holt-Lunstad J, Smith TB, Layton JB. Social relationships and mortality risk. PLoS Med. 2010;7(7):e1000316.
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