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Number of mutans streptococci or lactobacilli in a total dental plaque sample does not explain the variation in caries better than the numbers in stimulated whole saliva.

For practical reasons the numbers of mutans streptococci (MS) and lactobacilli (LB) in plaque are commonly estimated from saliva samples. The saliva counts are considered to be a reasonable indicator of the entire dentition's total microbial load. However, the value of salivary counts for explaining and predicting caries have been found to be low. There was therefore reason to compare the relationships between caries on the one hand and, on the other, the number of MS or LB in plaque and in saliva, respectively, in order to assess their relative merits for explaining the variation in caries, both in a total material and in subgroups with less favourable oral hygiene. Sixty children aged 14-15 years participated in the study. Caries and plaque were registered and the number of MS and LB was estimated in total plaque and in stimulated saliva samples. The results showed that the number of MS or LB in plaque did not explain the variation in caries to a greater degree than did the salivary counts. For both bacteria the explanatory values increased, as expected, in subgroups with less favourable oral hygiene, but not even at this higher level of explanation was there any difference between plaque and saliva. The LB count was a stronger explanatory variable than the MS count. It was concluded that the number of MS and LB, estimated in total plaque as well as in saliva samples, is not a useful tool in prediction.

Adolescent↗

Salivary lactobacilli explain dental caries better than salivary mutants streptococci in 4-5-year-old children.

The present comparative study was undertaken to determine which of the bacteria, lactobacilli (lbc) and mutans streptococci (ms), in saliva better explains the variation of caries in 2728 South African 4-5-yr-old children. Caries was diagnosed according to WHO criteria. For lbc, the Dentocult system was used. The number of ms in stimulated saliva was counted on MSB agar plates. For correction of confounding factors, data on the frequency of intake of sweets were derived from extensive interviews. Oral hygiene was determined according to the simplified debris index of Greene & Vermillion. Simple correlation analyses between dmfs and bacterial counts were done for the total material and for three caries intervals by calculating Spearman's and Pearson's coefficients of correlation. Multivariate regression analyses were done on all intervals to correct for the confounding effects of regular intake of sweets, presence of salivary ms or lbc, and oral hygiene. Of the children, 68% had detectable lbc in the saliva, and 74% had ms. Except for children with more than 6 dmfs, the explanatory values, i.e., percentage of variation in dmfs explained, were higher for the lbc than for ms. Before correction, the values for the total material were 15 vs 6%; for children with caries, 7 vs 5%; for those with 1-6 dmfs, 5 vs 0.4%; and for those with more than 6 dmfs, 0.3 vs 2%. All r-values were reduced after correction, indicating that the confounders explain some of the correlation between dmfs and bacterial count.(ABSTRACT TRUNCATED AT 250 WORDS)

Child, Preschool↗

Too early to explain all experimental data with a single model.

The target article by Prilutsky gives an excellent overview of the predictions of the Crowninshield and Brand model and about the relevant literature about muscle coordination. However, we do not agree with the claim that the Crowninshield and Brand model can explain the coordination between one-joint and two-joint muscles. In this commentary we will make three claims: (a) The Crowninshield and Brand model cannot explain all aspects of muscle coordination, (b) there is good experimental evidence that different constraints and models may be necessary to explain muscle coordination in different motor tasks, and (c) the reason for the lack of quantitative fits between predictions about muscle force and experimental data is that it is hard to measure muscle force in man. As a compromise one has to rely on EMG activity as a measure of muscle force. Because of the complex relationship between EMG and muscle force, a quantitative test of models is difficult.

Humans↗

Are ethnic differences in lung function explained by chest size?

BACKGROUND: Ethnic differences in lung function (LF) are recognised in adults and children. Most prediction equations for LF are derived from whites, so non-whites are at risk of erroneous assessment. It was hypothesised that differences in chest dimensions would explain differences in LF between Asian (Indian) and white schoolchildren. AIMS: To quantify the impact of chest dimensions on LF, which would inform our understanding of ethnic differences that have implications for health care. METHODS: Children aged 6-11 were studied in school. A questionnaire provided information on ethnicity and respiratory health. Spirometry was used to record FVC, FEV1, FEF25-75, and PEF. Weight, height, sitting height, and chest dimensions (chest height, circumference, antero-posterior and transverse diameters) were measured. RESULTS: Data were obtained from 294 healthy children. Standing height was the most important predictor of LF. Ethnicity was an independent predictor for all LF measures except PEF, where the effect was marginal. FVC in whites was 13.4% bigger than in Asians of the same height, and the FEV1 was 10.6% greater in whites. The influence of chest dimensions on lung function was trivial. Body mass index was smaller in Asians but did not explain differences in LF. CONCLUSIONS: Differences in chest dimensions did not explain the substantial effect of ethnicity on LF. Mechanisms whereby ethnicity exerts its influence may include differences in inspiratory muscle strength or lung compliance but remain speculative. Nevertheless it remains imperative that ethnic differences are recognised when interpreting LF tests.

Anthropometry↗

Is the association between irritable bowel syndrome and abuse explained by neuroticism? A population based study.

BACKGROUND: In outpatients and the community, an association between abuse (particularly sexual abuse) and irritable bowel syndrome (IBS) has been observed, but whether there is a causal link continues to be disputed. AIMS: To test the hypothesis that psychological factors explain the apparent association between abuse and IBS. METHODS: A sample of residents of Penrith (a Sydney suburb sociodemographically similar to the Australian population) selected randomly from the electoral rolls (that by law include the entire population of age 18 years and above) was mailed a validated self report questionnaire. Measured were gastrointestinal (GI) symptoms including the Rome criteria for IBS, abuse (including the standardised Drossman questions), neuroticism (Eysenck Personality Questionnaire), and psychological morbidity (General Health Questionnaire). RESULTS: The response rate was 64% (n = 730); 12% fulfilled the Rome criteria for IBS. Overall abuse in childhood (odds ratio (OR) = 2.02, 95% confidence interval (CI) 1.29 to 3.15) but not adulthood (OR = 1.39, 95% CI 0.88 to 2.19) was associated with IBS univariately. Neuroticism and psychological morbidity were also univariately associated with abuse in childhood, abuse in adulthood and IBS, respectively. However, by logistic regression, abuse in childhood was not associated with IBS after controlling for age, gender, and psychological factors (OR = 1.34, 95% CI 0.83 to 2.17). The results were not altered by restricting the analyses to more severe forms of abuse, and were not explained by interactions between abuse and psychological variables. CONCLUSION: There is an association between abuse and IBS in the community, but this may be explained in part by other psychological factors. Based on a path analysis, we postulate that abuse may induce the expression of neuroticism that in turn leads to IBS.

Adult↗

Health behaviours explain part of the differences in self reported health associated with partner/marital status in The Netherlands.

STUDY OBJECTIVE: To describe the differences in health behaviours in disparate marital status groups and to estimate the extent to which these can explain differences in health associated with marital status. DESIGN: Baseline data of a prospective cohort study were used. Directly age standardised percentages of each marital group that engaged in each of the following behaviours--smoking, alcohol consumption, coffee consumption, breakfast, leisure exercise, and body mass index--were computed. Multiple logistic regression models were fitted to estimate the health differences associated with marital status with and without control for differences in health behaviours. SETTING: The population of the city of Eindhoven and surrounding municipalities (mixed urban-rural area) in The Netherlands in March 1991. PARTICIPANTS: There were 16,311 men and women, aged 25-74 years, and of Dutch nationality. MAIN RESULTS: There were differences in relation to marital status for each health behaviour. Married people were more likely to practise positive health behaviours (such as exercise and eating breakfast) and less likely to engage in negative ones (such as smoking or drinking heavily) than the other groups. Control for all six health behaviours could explain an average of 20-36% of the differences in perceived and general health and subjective health complaints. CONCLUSIONS: Differences in health behaviours explained a considerable amount, but not all, of the health differences related to marital status. Longitudinal data are necessary to confirm these findings; to determine whether the differences in health behaviours related to marital status are caused by selection effects or social causation effects; and to learn how social control, social support, and stress inter-relate to reinforce negative or to maintain positive health behaviours.

Adult↗

Reported health, lifestyles, and use of health care of first generation immigrants in The Netherlands: do socioeconomic factors explain their adverse position?

OBJECTIVE: Differences in health, lifestyles, and use of health care between groups of varying ethnic origin can have important implications for preventive and curative health care. This paper studies whether socioeconomic factors explain ethnic differences in these outcomes. DESIGN: Data on health status, lifestyles, and use of health care were obtained from interviews with 3296 people aged 16-64 years (response: 60.6%), among whom were 848 first generation immigrants. Ethnic differences in these outcomes were examined with and without adjustment for socioeconomic factors, using logistic regression. SETTING: General population of Amsterdam, the Netherlands. MAIN OUTCOME MEASURES: Health status (self rated health, General Health Questionnaire, functional limitations), lifestyles (smoking, alcohol), and use of health care (general practice, pharmaceuticals, hospitalisations). MAIN RESULTS: Immigrants from Turkey, Morocco and (former) Dutch colonies report a poorer health and a higher use of health care, especially primary health care among the elderly. An adverse socioeconomic position partially explains the poor health of these immigrants. In turn, their poor health explains most of their higher use of health care. CONCLUSIONS: Cultural factors and poor living conditions seem to contribute to the poor health of immigrants, besides an adverse socioeconomic position. The pressure on various health services will increase in future because of the relatively high increase in immigrants' needs at older ages and their presently low mean age.

Adolescent↗

Factors explaining the geographical differences in Disability Free Life Expectancy in Spain.

OBJECTIVE: To study the geographical variations in Disability Free Life Expectancy (DFLE) at birth (DFLEb) and at 65 years (DFLE65) in Spain and to identify the main factors that explain these variations. DESIGN: Ecological study with the 50 provinces of Spain as the units of analysis. Sullivan's method is used to calculate DFLE for each province based on information from the death registry and the survey on disabilities, impairments and handicaps. Information on the independent variables-socioeconomic level, factors related with the health system and risk factors-was taken from various sources. MAIN OUTCOME MEASURE: Simple correlation coefficients were obtained between each dependent variable (DFLEb and DLFE65) and the independent variables. Two multiple linear regression models were fit to obtain the best set of factors that explain the geographical distribution of DFLEb and DLFE65. RESULTS: Both DFLEb and DLFE65 vary widely among provinces. The multiple linear regression analysis shows that the illiteracy rate, the percentage of the unemployed and the percentage of smokers in the population were the main factors associated with the geographical variation of DFLE. The models explained approximately 40% of the variance for DFLEb and 30% for DLFE65. CONCLUSIONS: The results obtained show the influence of education, the unemployment rate and smoking on the geographical differences of DFLE. The DFLE indicators are shown to be valid for use in health policy.

Adolescent↗

Comparing hospital discharge records with death certificates: can the differences be explained?

STUDY OBJECTIVE: The quality of mortality statistics is important for epidemiological research. Considerable discrepancies have been reported between death certificates and corresponding hospital discharge records. This study examines whether differences between the death certificate's underlying cause of death and the main condition from the final hospital discharge record can be explained by differences in ICD selection procedures. The authors also discuss the implications of unexplained differences for mortality data quality. DESIGN: Using ACME, a standard software for the selection of underlying cause of death, the compatibility between the underlying cause of death and the final main condition was examined. The study also investigates whether data available in the hospital discharge record, but not reported on the death certificate, influence the selection of the underlying cause of death. SETTING: Swedish death certificates for 1995 were linked to the national hospital discharge register. The resulting database comprised 69 818 people who had been hospitalised during their final year of life. MAIN RESULTS: The underlying cause of death and the main condition differed at Basic Tabulation List level in 54% of the deaths. One third of the differences could not be explained by ICD selection procedures. Adding hospital discharge data changed the underlying cause in 11% of deaths. For some causes of death, including medical misadventures and accidental falls, the effect was substantial. CONCLUSION: Most differences between underlying cause of death and final main condition can be explained by differences in ICD selection procedures. Further research is needed to investigate whether unexplained differences indicate lower data quality.

Adolescent↗

Can the increase in body mass index explain the rising trend in asthma in children?

BACKGROUND: The reported association between asthma and obesity and the documented rise in each over time have led to suggestions that rising obesity might explain the increase in the prevalence of asthma. Trends in both in British children participating in the National Study of Health and Growth were marked from 1982 to 1994. METHODS: Odd ratios for trends in asthma and symptoms in 8 and 9 year old children were calculated with and without adjustment for body mass index (BMI). RESULTS: In a representative sample of white children the odds ratio per year for asthma was 1.09 (95% CI 1.07 to 1.11) before and after adjustment for BMI for boys and 1.09 (95% CI 1.07 to 1.12) and 1.09 (95% CI 1.05 to 1.12), respectively, for girls. Unadjusted and adjusted odds ratios were also virtually identical for wheeze and "asthma or bronchitis". The lack of effect of adjustment was due to a change in the association between BMI and symptoms with time. CONCLUSIONS: Trends in overweight and obesity do not explain the increase in asthma. The evidence points towards the association between asthma and obesity being of recent origin. This may be explained by obesity being a marker of recent lifestyle differences now associated with both asthma and overweight.

Asthma↗

Are depressive persons capable of describing changes in their reactions without being able to explain them? A proof of a cybernetic hypothesis of depression.

BACKGROUND: Many studies on the autobiographical memory and the explanation of reasons for success and failure proved that persons suffering from major depression tend to overgeneralize. This study examines the hypothesis that changes of reactions caused by a depressive disorder can be described by the affected persons but not explained. SAMPLE AND METHODS: Persons suffering from major depression and persons with posttraumatic stress disorder or disturbance of accommodation with depressive mood (= reactive form of a depressive disorder) were presented with a list of modalities (behaviour, emotional and physical reactions) characteristic for depression. They were asked to identify modalities applicable to them and to describe and explain them. Their responses were analysed using a content analysis and assigned to the categories description and explanation. RESULTS: Persons with a major depression tended to use explanations or evaluations rather than descriptions for their depression-related modalities. Those persons suffering from a reactive form of depressive disorder tended to prefer evaluations. CONCLUSION: These results support the assumption that states of depression cause general descriptions of depression-relevant behaviour. The specific characteristics that have been perceived confirm the general concepts, which however make the patient prone to the respective selective perceptions. Persons suffering from a reactive form of depressive mood cannot be assumed to have this tendency of self-affirmation. Their depressive state may be maintained by perseverating general pessimistic schemes. LIMITATIONS: It must however be conceded that it was not possible to control the physical comorbidity methodically and to take its effects into consideration, even though only persons without serious illnesses were included in the samples. This study did not verify whether other clinical groups, like patients suffering from anxiety, show the same patterns of explaining and describing their problems. It should furthermore be reviewed how other actions, e.g. positive ones, are represented by depressive persons.

Adult↗

Starling resistor versus compliance. Which explains the zero-flow pressure of a dynamic arterial pressure-flow relation?

Arterial pressure at zero flow (Pz = 0) that is higher than venous pressure (Pv) in dynamic pressure-flow relations has been explained by the presence of an arteriolar Starling resistor (SR) mechanism (i.e., vascular waterfall) or the discharge of vascular capacitance. To determine which was predominant, I studied in vivo hind limbs of 18 anesthetized dogs in which femoral arteries were cannulated with in-line electromagnetic flow probes to measure inflow (Qin), Pv was controlled, and collateral flow was eliminated with a tourniquet. Pz = 0 was obtained by turning flow to zero. Three tests were applied: 1) Pv was raised in steps with either constant Qin or constant arterial pressure (Pa) to determine the pressure at which upstream vascular characteristics were affected by a change in Pv, 2) the time to reach Pz = 0 was varied to determine compliance effects, and 3) an equation was developed to determine if experimentally derived parameters could explain Pz = 0 without invoking an SR. With constant Qin and a Pz = 0 of 56.9 +/- 11.7 mm Hg (time to Pz = 0, 3 seconds), Pv could be raised by 9.6 +/- 6.2 to 16.3 +/- 6.0 mm Hg before Pa increased, and with constant Pa, Pv could be raised by 6.8 +/- 7.3 to 14.0 +/- 8.0 mm Hg before Qin decreased. With increasing times to reach Pz = 0, Pz = 0 initially dropped precipitously, but then decreased by only a small amount over the next 5-10 seconds even though arterial pressure was much above Pv. This could be explained by an SR mechanism with a critical pressure of 42.3 +/- 11.4 mm Hg and an arterial compliance of 0.0104 +/- 0.0023 ml.mm Hg-1 (n = 6). There was no value for the compliance that described the results when the arterial outflow pressure was Pv. Thus, this study supports the hypothesis that an SR mechanism is present in the vascular system. It is most likely precapillary, and in the resting limb, it has a value of 40-50 mm Hg. However, Pz = 0 in dynamic pressure-flow studies of less than 4 seconds is also greatly influenced by capacitance effects and the initial Pa.

Animals↗

Do trends in population levels of blood pressure and other cardiovascular risk factors explain trends in stroke event rates? Comparisons of 15 populations in 9 countries within the WHO MONICA Stroke Project. World Health Organization Monitoring of Trends and Determinants in Cardiovascular Disease.

BACKGROUND AND PURPOSE: Previous studies have indicated a reasonably strong relationship between secular trends in classic cardiovascular risk factors and stroke incidence within single populations. To what extent variations in stroke trends between populations can be attributed to differences in classic cardiovascular risk factor trends is unknown. METHODS: In the World Health Organization Monitoring of Trends and Determinants in Cardiovascular Disease (WHO MONICA) Project, repeated population surveys of cardiovascular risk factors and continuous monitoring of stroke events have been conducted in 35- to 64-year-old people over a 7- to 13-year period in 15 populations in 9 countries. Stroke trends were compared with trends in individual risk factors and their combinations. A 3- to 4-year time lag between changes in risk factors and change in stroke rates was considered. RESULTS: Population-level trends in systolic blood pressure showed a strong association with stroke event trends in women, but there was no association in men. In women, 38% of the variation in stroke event trends was explained by changes in systolic blood pressure when the 3- to 4-year time lag was taken into account. Combining trends in systolic blood pressure, daily cigarette smoking, serum cholesterol, and body mass index into a risk score explained only a small fraction of the variation in stroke event trends. CONCLUSIONS: In this study, it appears that variations in stroke trends between populations can be explained only in part by changes in classic cardiovascular risk factors. The associations between risk factor trends and stroke trends are stronger for women than for men.

Adult↗

Biases in attentional orientation and magnitude estimation explain crossover: neglect is a disorder of both.

Crossover refers to a pattern of performance on the line bisection test in which short lines are bisected on the side opposite the true center of long lines. Although most patients with spatial neglect demonstrate crossover, contemporary theories of neglect cannot explain it. In contrast, we show that blending the psychophysical construct of magnitude estimation with neglect theory not only explains crossover, but also addresses a quantitative feature of neglect that is independent of spatial deficits. We report a prospective validation study of the orientation/estimation hypothesis of crossover. Forty subjects (17 patients with and without neglect following unilateral brain injury and 23 normal controls) completed four experiments that examined crossover using line bisection, line bisection with cueing, and reproducing line lengths from both memory and a standard. Replicating earlier findings, all except one subject group exhibited crossover on the standard line bisection test, all groups showed a spontaneous preference to orient attention to one end of the lines, and all groups overestimated the length of short lines and underestimated long lines. Biases in attentional orientation and magnitude estimation are exaggerated in patients with neglect. The truly novel finding of this study occurred when, after removing the line from the bisection task, the direction of crossover was completely reversed in all subject groups depending on where attention was oriented. These findings are consistent with our hypothesis of crossover: (1) crossover is a normal component of performance on line bisection; (2) crossover results from the interplay of biases in attentional orientation and magnitude estimation; and (3) attentional orientation predicts the direction of crossover, whereas a disorder of magnitude estimation, not previously emphasized in neglect, accounts for the quantitative changes in length estimation that make crossover more obvious in neglect subjects. Paradoxically, we observed that the traditional line bisection test is suboptimal for exploring crossover because lines elicit spontaneous orientation responses from subjects that confound experimental manipulations of attention. We conclude that attentional orientation and magnitude estimation are necessary and sufficient to explain crossover and that bias in magnitude estimation is a core component of neglect.

Adult↗

All Pulfrich-like illusions can be explained without joint encoding of motion and disparity.

In the Pulfrich effect, an interocular time delay results in the perception of depth. Two modified versions, the stroboscopic Pulfrich effect and dynamic visual noise with a delay, are generally explained by postulating an early stage of space/time-inseparable filtering, encoding motion and disparity jointly. However, most disparity sensors in monkey V1 do not show joint motion/disparity encoding, and we recently showed that depth perception in the stroboscopic Pulfrich effect is equally compatible with space/time-separable filtering. Here, we demonstrate that this filtering can be implemented with a population of physiologically plausible energy model units. Similar results are obtained whether the neurons are pure disparity sensors (like most V1 neurons) or joint motion/disparity sensors (like MT). We also demonstrate that the dynamic noise stimulus produces correlations between the activity in pure disparity sensors, and in a separate population of pure motion sensors. These correlations are sufficient to explain the percept. Thus, joint encoding of motion and disparity is not required to explain depth perception in Pulfrich-like stimuli: a brain which encoded motion and disparity in entirely separate neuronal pathways could still experience all of these illusions.

Animals↗

Factors explaining career satisfaction among psychiatrists and surgeons in Canada.

BACKGROUND: The career satisfaction of specialists is affected by many variables ranging from family responsibilities, stress, the quality of services and facilities available to patients, professional rewards, and how the work is organized. OBJECTIVE: To articulate models that explain a substantial portion of the variance associated with career satisfaction among surgeons and psychiatrists in Canada. METHODS: Of 4958 eligible physicians across Canada, 2810 (56.7%) completed a 12-page survey between January and March 2004, following which the responding 148 surgeons and 231 psychiatrists were selected for this study. We checked response bias and found it was negligible. Hierarchical regression analysis was used to record cumulative R2, Standardized beta, and significance levels as each predictor was entered. We applied weighting factors to reflect the actual physician population in Canada. RESULTS: The models explained 90.4% of the variance in career satisfaction for surgeons and 81.0% of the variance in career satisfaction for psychiatrists. The explanatory variables consisted of distress and coping, role in community activities, access to and quality of health care services, intrinsic and extrinsic rewards, workload, and organizational structure. CONCLUSIONS: The study demonstrated that variance associated with career satisfaction can be explained using various factors reported directly by physicians. The study also confirmed that relative differences in the importance of these factors do occur among specialties. Surgeons prefer to delegate more responsibility in the management of their practices on an informal basis, whereas psychiatrists prefer to be more involved in the management of their practices and use more formal structures.

Adaptation, Psychological↗

The callosal dilemma: explaining diaschisis in the context of hemispheric rivalry via a neural network model.

It is often suggested that a major factor in diaschisis is the loss of transcallosal excitation to the intact hemisphere from the lesioned one. However, there is long-standing disagreement in the broader experimental literature about whether transcallosal interhemispheric influences in the human brain are primarily excitatory or inhibitory. Some experimental data are apparently better explained by assuming inhibitory callosal influences. Past neural network models attempting to explore this issue have encountered the same dilemma: in intact models, inhibitory callosal influences best explain strong cerebral lateralization like that occurring with language, but in lesioned models, excitatory callosal influences best explain experimentally observed hemispheric activation patterns following brain damage. We have now developed a single neural network model that can account for both types of data, i.e., both diaschisis and strong hemisphere specialization in the normal brain, by combining excitatory callosal influences with subcortical cross-midline inhibitory interactions. The results suggest that subcortical competitive processes may be a more important factor in cerebral specialization than is generally recognized.

Brain Injuries↗

What factors explain the number of physical therapy treatment sessions in patients referred with low back pain; a multilevel analysis.

BACKGROUND: It is well-known that the number of physical therapy treatment sessions varies over treatment episodes. Information is lacking, however, on the source and explanation of the variation. The purposes of the current study are: 1) to determine how the variance in the number of physical therapy treatment sessions in patients with non-specific low back pain (LBP) in the Netherlands is distributed over patient level, therapist level and practice level; and 2) to determine the factors that explain the variance. METHODS: Data were used from a national registration network on physical therapy. Our database contained information on 1,733 patients referred with LBP, treated by 97 therapists working in 41 practices. The variation in the number of treatment sessions was investigated by means of multilevel regression analyses. RESULTS: Eighty-eight per cent of the variation in the number of treatment sessions for patients with LBP is located at patient level and seven per cent is located at practice level. It was possible to explain thirteen per cent of all variance. The duration of the complaint, prior therapy, and the patients' age and gender in particular are related to the number of physical therapy treatment sessions. CONCLUSION: Our results suggest that the number of physical therapy treatment sessions in patients with LBP mainly depends on patient characteristics. More variation needs to be explained, however, to improve the transparency of care. Future research should examine the contribution of psychosocial factors, baseline disability, and the ability to learn motor behavior as possible factors in the variation in treatment sessions.

Adult↗