key: cord-0308589-gxx6isfl authors: Kolacz, J.; Chen, X.; Nix, E. J.; Roath, O. K.; Holmes, L. G.; Tokash, C.; Porges, S. W.; Lewis, G. F. title: Measuring Autonomic Symptoms with the Body Perception Questionnaire Short Form (BPQ-SF): Factor Analysis, Derivation of U.S. Adult Normative Values, and Association with Sensor-Based Physiological Measures date: 2022-04-28 journal: nan DOI: 10.1101/2022.04.27.22274391 sha: e3df131769bfffe7c32caf9801aa004f662b8cb2 doc_id: 308589 cord_uid: gxx6isfl Objective: Autonomic regulation of organ and tissues may give rise to disruptions of typical functions. The Body Perception Questionnaire Short Form (BPQ-SF) includes items that were developed to assess autonomic symptoms in daily life. This pair of studies aimed to establish previously unexplored psychometric properties of the BPQ-SF, develop normative values for clinical and research use, and validate the self-reports with sensor-based measures. Methods: Study 1 reports exploratory and confirmatory factor analysis (CFA) on BPQ-SF autonomic reactivity items from a large U.S. population-based online study (n = 2048). In study 2, BPQ-SF scores were examined for associations with heart period, respiratory sinus arrhythmia (RSA), and skin conductance (SC) during seated leg lifts in a community sample (n = 62). Results: Study 1 results supported a 2-factor supra- and sub-diaphragmatic autonomic symptom solution (CFA: RMSEA = .040, CFI = .99, TLI = .99), though a 1-factor solution also fit the data well (RMSEA = .080, CFI = .99, TLI = .99). In study 2, flexible HP responses to lifts and rests were demonstrated at all autonomic symptom levels. However, low self-reported autonomic symptoms were associated with flexible dynamic RSA and SC, moderate symptoms with prolonged SC responses during rest periods, and high symptoms with little systematic changes in RSA and SC during leg lifts. Conclusion: Results support the validity of self-reports of autonomic symptoms in research and clinical applications, with higher symptoms likely indicating impairment in autonomic flexibility. is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. The copyright holder for this preprint this version posted April 28, 2022. The autonomic nervous system (ANS), which is responsive to emotional and metabolic challenges, is important for physical health and mental wellbeing. The pathways of the ANS and the brainstem regions with which it interfaces form a rapidly-acting brain-body interface that maintains functional regulation of organs and tissues, integrates information about the state of the body and environment, and controls responses to perceived and anticipated challenges and threats. (1) (2) (3) (4) (5) (6) This system provides a physiological component of emotional arousal and regulation, (7) (8) (9) and is functionally integrated with brain regions that are involved in safety and threat appraisal (10) as well as the muscles of the face and head that are involved with social below the diaphragm; Figure 1 ), with higher scores indicating greater autonomic disruption of typical organ function (24). This factor structure parallels the innervation patterns of the vagus nerve, which has outflow to structures above the diaphragm that emerge from the nucleus ambiguus (NA) and below the diaphragm from the dorsal motor nucleus of the vagus (DMNX; though both innervate the heart and bronchi). Subsequent studies with Italian and Chinese translations replicated this general factor structure. (26) (27) (28) Because the BPQ has an ordered categorical response scale (5-point Likert-type scale ranging from "never" to "always"), analysis of item level data requires ordinal methods to avoid statistical distortions. (29) Sample size limitations of initial studies and subsequent factor analysis replications have resulted in the full ordinal outcomes becoming truncated to binary or 3-level responses to avoid overfitting the data influence of random noise. (24,26,27) These strategies have resulted in replicable, interpretable factor solutions but it is unclear whether the factor structure applies to full-item distributions, which are commonly used for subscale scoring. Thus, factor analysis on the English BPQ-SF with the full item distributions is needed. Norms. Prior English-language studies have relied on convenience samples, limiting the generalizability of resulting score descriptive statistics. Normed values from a population-based sample are needed to inform score interpretation and clinical application. Validity. The use of the BPQ to measure body awareness has been detailed in other studies, showing that BPQ scores are correlated with activity in brain regions associated with interoception (30) and research has suggested that the awareness subscale is a measure of interoceptive sensibility (31) or awareness of neutral and uncomfortable body sensations. (32) Associations of the body awareness subscale and other similar measures are explored in other studies. (24,27,32,33) However, to our knowledge, there has up to now been no systematic . CC-BY-NC-ND 4.0 International license It is made available under a is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. The copyright holder for this preprint this version posted April 28, 2022. ; https://doi.org/10.1101/2022.04.27.22274391 doi: medRxiv preprint research to explore the association of the BPQ ANS reactivity subscales with sensor-based measures of physiological activity. The Present Studies Study 1 utilized a large national U.S. sample to examine the full-item response factor structure of the English-language Body Perception Questionnaire Short Form (BPQ-SF) and applied the results to develop population-based percentile and T scores. We hypothesized that factor analysis would converge on a structure similar to that which emerged from binary or three-level simplification of item response scales in past studies. Study 2 examined the associations of BPQ-SF autonomic reactivity subscales with sensor-based autonomic measures during seated leg raises. Electrocardiogram (ECG) and electrodermal activity (EDA) were used to assess: 1) changes in mean heart period, a broad metric of cardiac output, 2) respiratory sinus arrhythmia (RSA) amplitude, also known as high frequency heart rate variability, a measure of myelinated parasympathetic regulation, (34) 3) skin conductance reactivity frequency [an index of sympathetic regulation; (35)], and 4) vagal efficiency, a measure of the coordination of simultaneous changes in parasympathetic activity and heart period. (36, 37) According to principles of allostasis, (6,38) flexible regulation of physiological activity to metabolic demands are key to maintaining adaptive responding, while less dynamic capability place an individual at risk of experiences of disrupted function. Given these principles, we hypothesized that higher BPQ autonomic reactivity scores would be related to reduced dynamic range of the ANS across sympathetic and parasympathetic metrics. We expected that high selfreported symptoms would be associated with less metabolic change in response to leg lifts, . CC-BY-NC-ND 4.0 International license It is made available under a is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review) The copyright holder for this preprint this version posted April 28, 2022. Calculation of percentiles and T scores. Percentiles were calculated from sum scores of subscales based on the factor analysis result. T-Scores were derived by normalizing ranks to a mean of 50 and standard deviation of 10. Unobserved scores were interpolated with a monotonic Hermite spline function. (54) The study 1 cohort was composed of 2048 adults. Descriptive statistics are in Table 1 . The mean age was 46.34 years (SD = 17.19, range: 18-95) and 50.6% were female. The racial and ethnic distribution of the sample was similar to the general population. (55) Education level was diverse (14.9% graduate or professional degree, 66.9% at least a college degree, and 28.8% high school diploma). Responses were randomized into exploratory and confirmatory subsamples (each n = 1024). Exploratory factor analysis. Parallel analysis and fit indices suggested 2-5 factors. Examination of loadings showed that solutions with greater than 2 autonomic reactivity factors violated simple structure, with multiple factors having strong loadings on the same items and some items lacking any substantial loadings (Supplemental Materials). Thus, the 2-factor solution, corresponding to supra-and sub-diaphragmatic reactivity, was retained for CFA ( Table 2 ). There was moderately high correlation between the two factors (r = .79). . CC-BY-NC-ND 4.0 International license It is made available under a is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review) The copyright holder for this preprint this version posted April 28, 2022. ; https://doi.org/10.1101/2022.04.27.22274391 doi: medRxiv preprint Confirmatory factor analysis. The 2-factor solution fit well (RMSEA = .044 [90% CI: .039, .049], CFI = .99, TLI = .99). CFA loadings were similar to those found in the EFA (Table 2 ). Due to high correlation between factors (r = .81), we tested a 1-factor autonomic reactivity solution, which approached good fit (RMSEA = .081 [90% CI: .076, .085], CFI = .99, TLI = .99). Derivation of Percentiles and T Scores. Tables of percentile rank and T scores are in Supplemental Materials. Correlation between supra-and sub-diaphragmatic T scores was high (r = .73). The study was approved by the Indiana University Institutional Review Board. Participants were recruited via flyers and screened for eligibility by phone and email. Exclusion criteria were: (1) medication use for heart conditions or blood pressure, (2) a pacemaker, (3) hospitalization for a head injury or major surgery in the past year, and (4) skin allergies. All participants provided informed consent and completed a demographic survey and the BPQ-SF on a laptop. They were then prepared for physiological data recording of electrocardiogram (ECG) with Lead II configuration and electrodermal activity (EDA) with electrodes applied thenar and hypothenar eminences of the right palm. Data were recorded at 1 kHz using AcqKnowledge Software 4.2 and the Biopac MP160 Data Acquisition System . CC-BY-NC-ND 4.0 International license It is made available under a is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review) The copyright holder for this preprint this version posted April 28, 2022. Seated straight-leg raises (SLR) were used to stimulate an autonomic response. This task was selected for its ease of execution, reliable demand on metabolic load, and low probability of leg movement disturbing sensors on the upper body and hands. First, participants sat quietly for a 2-minute baseline. Participants were then cued through 3 leg lifts during which they extended their legs for 30 seconds with shins parallel to the floor, followed by a 60-second rest with feet down ( Figure 2 , top panel). Research assistants marked timings at which legs were completely lifted and lowered. All participants were able to keep legs elevated for the full length of all 3 lifts. Physiological data cleaning and processing was conducted using AcqKnowledge 4.2 (BIOPAC Systems, Inc., Camino Goleta, CA, USA) and Matlab R2020a. (56) Inter-beat intervals (IBI) were measured by the timing between R-wave peaks from ECG data. IBIs were manually inspected for artifacts, arrhythmias, and missed beats, which may lead to bias and invalidation of beat-to-beat cardiac measures. (57) Missed beats were reconstructed, noise artifacts corrected, and ventricular arrhythmia fluctuations were removed to produce a clean, uninterrupted beat-to-beat signal using CardioEdit+ Software (Brain-Body Center for Psychophysiology and Engineering, University of North Carolina at Chapel Hill). Cleaned data were analyzed in 15-sec epochs. The first and last epochs of recovery periods were excluded from analysis to avoid transition periods and anticipatory autonomic activation immediately before and after leg lifts. . CC-BY-NC-ND 4.0 International license It is made available under a is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. The copyright holder for this preprint this version posted April 28, 2022. ; https://doi.org/10.1101/2022.04.27.22274391 doi: medRxiv preprint Heart period (HP). HP was quantified as the mean time between successive heart beats in milliseconds, reflecting the sum of all influences on heart beat timing including sympathetic and parasympathetic effects. for a one-unit (ln(ms 2 )) change in RSA. Skin conductance response (SCR) frequency. SCRs calculated from the raw EDA signal were used to index sympathetic activation. SCRs are caused by sympathetic activation that promotes the opening of palmar eccrine sweat pores, increasing skin surface conductivity. (35,61) EDA data were downsampled to 7.812 Hz for analysis and visually inspected. Segments of data with signal noise or disruption were interpolated or excluded from analysis. Phasic data, which were separated from tonic data using smoothing baseline removal, were used to locate . CC-BY-NC-ND 4.0 International license It is made available under a is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. The copyright holder for this preprint this version posted April 28, 2022. . CC-BY-NC-ND 4.0 International license It is made available under a is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. The copyright holder for this preprint this version posted April 28, 2022. ; https://doi.org/10.1101/2022.04.27.22274391 doi: medRxiv preprint The sample was composed of 62 participants. Descriptive statistics are in Table 3 . The mean age was 21.85 years (SD = 4.01, range: 18-36), 67.7% were female, and 48.4% had a bachelor's degree or higher level of education. The mean BMI was 23.84 (SD = 4.53). Supra-and sub-diaphragmatic scores on the BPQ-SF were positively correlated (r = .59) and analysis results were comparable for the two subscales. Thus, results are reported on combined autonomic symptom scores (see Supplemental Materials for supra-and subdiaphragmatic results reported separately). BPQ-SF autonomic symptom scores from the lab study were lower compared to the general population in Study 1 (low tertile n = 29, 46.8%, mid tertile n = 22, 35.5%, high tertile n = 11, 17.7%). BPQ autonomic symptom scores were not associated with age, gender, body mass index, or meeting overweight and obesity criteria (all p > .05). After data inspection, 9 EDA files were excluded due to signal drop out, poor quality, or equipment errors (final n = 53). Associations among physiological variables. Correlations were calculated across the 7 postures (baseline, 3 sitting, 3 recovery). HP and RSA were moderately correlated (Pearson r = .49, p < .001). SCR rate was not significantly correlated with HP (Rho = -.17, p = .226) or RSA (Rho = -.06, p = .68). BPQ autonomic symptom groups did not differ significantly on HP, RSA, or SCR rate at baseline (all contrasts p > .10). BPQ scores were negatively associated with lower SCR rate The high symptom group did not significantly differ from baseline during leg lifts or recovery periods. Overall, the high symptom group had a lower SCR rate during leg lifts and recovery compared to the low symptom group (leg lift p = .007; r = .64; recovery p = .002; r = .72), and the mid group was higher than the high group at recovery (p = .002; r = .77). VE was not associated with BPQ autonomic symptom levels (F (2, 53) = .83, p = .442). . CC-BY-NC-ND 4.0 International license It is made available under a is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. In study 1, the results of exploratory and confirmatory factor analysis in a large, general population sample converged with prior factor analysis that had been conducted using simplified item response ranges in studies with convenience and student samples. The results revealed two autonomic symptom factors that differentiated supra-and sub-diaphragmatic reactivity. Also consistent with prior studies, the supra-and sub-diaphragmatic subscales were strongly positively correlated (24, 26), suggesting that experiences of autonomic symptoms above and below the diagram are closely associated. In addition, supra-and sub-diaphragmatic reactivity subscale patterns showed similar associations with sensor-based physiological measures in lab data in Study 2. Prior studies have also found patterns of parallel associations between supra-and sub-diaphragmatic symptoms with trauma history, PTSD symptoms, and depression symptoms. . CC-BY-NC-ND 4.0 International license It is made available under a is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. The copyright holder for this preprint this version posted April 28, 2022. ; https://doi.org/10.1101/2022.04.27.22274391 doi: medRxiv preprint (67,68) This suggests that under some conditions supra-and sub-diaphragmatic reactivity may be scored as a single subscale, though distinctions between subscales should continue to be explored. It also underscores that processes that regulate organs above and below the diagram are functionally integrated and likely impacted in tandem. Consistent with previous studies, we found that the urge to vomit is associated with both supra-and sub-diaphragmatic reactivity factors (24,26), likely reflecting the neuro-anatomical circuits that induce vomiting, which involve structures both above and below the diaphragm. Similarly, moderate self-reported autonomic symptom levels were also associated with efficient withdrawal and re-engagement of the parasympathetic vagal brake. However, while this . CC-BY-NC-ND 4.0 International license It is made available under a is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. The copyright holder for this preprint this version posted April 28, 2022. ; https://doi.org/10.1101/2022.04.27.22274391 doi: medRxiv preprint group exhibited sympathetic activation during leg lifts compared to baseline, this sympathetic activation was maintained even during rest periods. This was also reflected in average heart period change, where HP was shortened even during rest periods. Lack of dynamic flexibility in reducing sympathetic responses may cause some disruption in organ function over time, resulting in more experiences of autonomic symptoms. The highest levels of self-reported autonomic symptoms were associated with no consistent parasympathetic or sympathetic change. Individuals at these levels may be least organized in their autonomic response, not predictably engaging or disengaging the ventral vagal parasympathetic brake or the SNS, placing them most at risk of long-term disruptions in the function of organs and tissues innervated by the autonomic nervous system. However, this group nonetheless mounted a change in overall heart period to leg lifts and a return toward baseline during rest periods, a pattern that requires some neural regulation of the heart. The polyvagal theory posits that metabolic regulation via the unmyelinated cardioinhibitory vagal pathway to the heart via the dorsal vagal motor nucleus of the vagus (DMNX) would be associated with the highest levels of autonomic symptoms due to its being the evolutionarily oldest pathway and its intimate integration with the gut. (25) Electrophysiological studies have documented that direct stimulation of the DMNX will produce heart rate slowing (70) (71) (72) and that vagal activation influences sympathetic outflow (e.g., (73) ). However, there is no known non-invasive marker of the cardioinhibitory influence of the DMNX and the data in this study cannot confirm whether it is involved in cardiac regulation during leg lifts in the high symptom group. VE was not associated with autonomic symptoms in this study. Prior studies have quantified VE during posture shifts that engage the baroreflex maintaining blood pressure to the brain (37,60) or strenuous exercise on a stationary bicycle that requires strenuous metabolic . CC-BY-NC-ND 4.0 International license It is made available under a is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. The copyright holder for this preprint this version posted April 28, 2022. ; https://doi.org/10.1101/2022.04.27.22274391 doi: medRxiv preprint muscle activation. (74) Compared to these studies, leg lifts may be a relatively weak ANS challenge, not able to provide enough metabolic engagement to permit robust VE measurement. Future studies that use paradigms that provide stronger challenge are needed. Viewed in sum, these studies support the use of self-reported autonomic symptoms via the BPQ as an index of autonomic disruption of typical organ and tissue function. However, there are important distinctions between sensor-based measures, which are typically used to index autonomic activity, and self-reports. First, self-reports and sensor-based measures differ on their ultimate goals. Whereas sensors typically focus on the dynamic function of a single organ or tissue, self-reports pool information over many innervation targets. Also, self-reported symptoms are likely most noticeable when their function is disrupted and are likely less sensitive to slight fluctuations in dynamic neural regulation. In addition, self-reports concatenate experience over long periods of time to provide enough opportunity to observe potential disruptions. Finally, compared to sensor-based measures, questionnaires have measurement limitations that include reliance on memory, reporting biases, attention, and other cognitive factors. However, the benefits of self-report measures in providing an overall summary of autonomic disruption at a low burden for participants makes them a potentially useful part of an assessment battery. Though the BPQ may index disruptions in regulation of the autonomic nervous system, the established factor structure is not specific to a particular autonomic branch. While some organs and tissues are innervated by a single pathway, such as the sympathetic regulation of sweat glands in the palm, most autonomic innervation targets are regulated by multiple branches. (5,11) These multiple innervation paths, along with the co-regulation of the various branches of the ANS by higher level structures such as the hypothalamus, (5) make distinctions between . CC-BY-NC-ND 4.0 International license It is made available under a is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. The copyright holder for this preprint this version posted April 28, 2022. . CC-BY-NC-ND 4.0 International license It is made available under a is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. The copyright holder for this preprint this version posted April 28, 2022. . CC-BY-NC-ND 4.0 International license It is made available under a is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. The copyright holder for this preprint this version posted April 28, 2022. . CC-BY-NC-ND 4.0 International license It is made available under a is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. The copyright holder for this preprint this version posted April 28, 2022. . CC-BY-NC-ND 4.0 International license It is made available under a is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. The copyright holder for this preprint this version posted April 28, 2022. ; https://doi.org/10.1101/2022.04.27.22274391 doi: medRxiv preprint . CC-BY-NC-ND 4.0 International license It is made available under a is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. The copyright holder for this preprint this version posted April 28, 2022. . CC-BY-NC-ND 4.0 International license It is made available under a is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. The copyright holder for this preprint this version posted April 28, 2022. . CC-BY-NC-ND 4.0 International license It is made available under a is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review) The copyright holder for this preprint this version posted April 28, 2022. ; https://doi.org/10.1101/2022.04.27.22274391 doi: medRxiv preprint . CC-BY-NC-ND 4.0 International license It is made available under a is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review) The copyright holder for this preprint this version posted April 28, 2022. BPQ-SF = Body Perception Questionnaire Short Form . CC-BY-NC-ND 4.0 International license It is made available under a is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review) The copyright holder for this preprint this version posted April 28, 2022. ; Figure 1 . The Body Perception Questionnaire-Short Form (BPQ-SF) autonomic reactivity subscales are composed of items that measure experience of disruptions in circuits that affect function above and below the diaphragm. . CC-BY-NC-ND 4.0 International license It is made available under a is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review) The copyright holder for this preprint this version posted April 28, 2022. ; https://doi.org/10.1101/2022.04.27.22274391 doi: medRxiv preprint Figure 2 . Autonomic activity changes during seated leg lifts as a function of level of autonomic symptoms self-reported on the Body Perception Questionnaire Short Form (BPQ-SF). Top row: Mean heart period (HP), respiratory sinus arrhythmia (RSA), and skin conductance reactivity (SCR) rate were measured during seated baseline, leg lifts, and recovery (legs on floor). Middle row: Raw data and boxplots with between-group significance tests from repeated measures models of absolute values at baseline, leg lifts, and recovery periods. For within-group contrasts see Supplemental Materials. HP and RSA models are adjusted for age and BMI. Bottom row: Linear mixed model predicted values and 95% confidence intervals for HP, RSA, and SCR rate change scores from baseline to leg lifts, and from baseline to recovery periods as a function of self-reported autonomic symptoms. Dotted horizontal lines designate no change. . CC-BY-NC-ND 4.0 International license It is made available under a is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review) The copyright holder for this preprint this version posted April 28, 2022. ; https://doi.org/10.1101/2022.04.27.22274391 doi: medRxiv preprint The autonomic nervous system Organization for physiological homeostasis The Organisation of the Autonomic Nervous System Cardiac vagal tone: a physiological index of stress Integrative Action of the Autonomic Nervous System: Neurobiology of Homeostasis Allostasis: a model of predictive regulation Vagal tone and the physiological regulation of emotion. Monographs of the society for research in child development An overview of heart rate variability metrics and norms. Frontiers autonomic reactivity. Psychological Trauma: Theory, Research, Practice, and Policy The role of vagal neurocircuits in the regulation of nausea and vomiting The location and properties of preganglionic vagal cardiomotor neurones in the rabbit Effect of stimulating non-myelinated vagal axons on atrio-ventricular conduction and left ventricular function in anaesthetized rabbits Myths and realities of the cardiac vagus Interaction between direct sympathetic and vagus nerve stimulation on heart rate in the isolated rabbit heart Maltreatment History and Physiological Regulation in Response to Physical and Emotional Stressors. 25th Annual International Trauma Conference We wish to thank Juliet Dahlgren for assistance with physiological data processing and R. MikeWinters on an early version of physiological data analysis.