**1. Introduction**

The assessment of exercise capacity is a common component in preventive and rehabilitation programs to detect changes in physical function, especially in exercise tolerance function, and, consequently, to establish prognosis [1,2]. It also provides parameters for the prescription of exercise programs and response to intervention [3]. Cardiopulmonary exercise testing (CPET) is considered the gold standard method used to assess exercise capacity, by providing a measure of the maximum oxygen consumption (VO2max), which in turn is the gold standard measure for the assessment of cardiorespiratory fitness (CRF) [4]. Treadmills and cycle ergometers are indicated to assess CRF [1]; however, their use is not always feasible in all settings where rehabilitation programs can be implemented [5], especially in community- [6–8] and home-based [9–11] programs, because they have high costs and require both specialized instruments and trained personnel [1]. To overcome these limitations, field tests can be more affordable, simple to apply, and better related

**Citation:** Vilarinho, R.; Toledo, A.; Silva, C.; Melo, F.; Tomaz, L.; Martins, L.; Gonçalves, T.; Melo, C.; Caneiras, C.; Montes, A.M. Reference Equation of a New Incremental Step Test to Assess Exercise Capacity in the Portuguese Adult Population. *J. Clin. Med.* **2023**, *12*, 271. https://doi.org/ 10.3390/jcm12010271

Academic Editor: Feng Gao

Received: 12 December 2022 Accepted: 26 December 2022 Published: 29 December 2022

**Copyright:** © 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/).

to patients' demands during activities of daily living [2,12]. Because of this, step tests are a suitable alternative which, in addition to the advantages mentioned above, require little equipment (an easily transportable platform), and the stepping skill requires little practice [1]. Additionally, step tests with an incremental and externally paced profile can provide a maximal cardiorespiratory response [13].

Recently, a new incremental step test was developed for patients with COPD with promising results for their measurement properties (correlation values of 0.50 and 0.46 for construct validity and ICC = 0.96 for reliability) and its application proved to be feasible in the home environment because this data collection was performed at participants' homes [14]. This test is composed of an incremental profile using a digital recording with a timed metronome step cadence through 15 levels of step cadence, each of a 1-min duration. The timed metronome sets the step cadence, which starts at 10 steps/minute and increases 2 steps/minute every 1 min, with a step cadence maximum of 38 steps/minute (level 15). According to these characteristics and the good results on their measurement properties in the COPD population, its general application for other clinical populations (e.g., other chronic respiratory diseases and cardiac diseases) seems to be recommended, along with the assessment of the respective measurement properties [15].

In addition to the measurement properties, the clinical interpretability of field tests is also important and transversal to all clinical populations, providing a clear interpretation of their performances through comparisons, for example, with reference equations generated from data of apparently healthy populations [16]. This also yields a definition of the utility of this new step test as an outcome measure of exercise capacity and assess the effectiveness of interventions [15]. Currently, the clinical interpretability of this new incremental step test is unknown. Therefore, the need to produce a country-specific reference equation based on its performance is important. This study aims to establish a reference equation of this new incremental step test (IST) to assess exercise capacity in the Portuguese adult population.

#### **2. Materials and Methods**

#### *2.1. Study Design*

This cross-sectional study was conducted between April 2021 and November 2022 in people without disabilities. Ethical approval for this study was obtained from the Ethics Committee of the School of Health—Polytechnic Institute of Porto (E0134, 13 April 2020). This study was also registered at ClinicalTrials.gov (registry number NCT04801979).

#### *2.2. Participants*

The study was conducted on people without disabilities in the north of Portugal. Each investigator responsible for the data collection advertised the study in their hometown and the surrounding areas. Interested participants contacted each investigator directly to participate in the study. According to another study in which it also determined reference equations for field tests for Portuguese adults [17], to achieve maximum representativeness from community-dwelling people, participants aged equal to or above 18 years and both sexes, with the most prevalent age-related conditions (e.g., hypercholesterolemia, hypertension, and diabetes) were included in the study [18]. The exclusion criteria were the presence of one or more of the following conditions: acute (within the past 4 weeks) or chronic respiratory disease; cardiac disease; signs of cognitive or neuromuscular impairment; and significant musculoskeletal disorder (e.g., ankylosing spondylitis) that could interfere with the ability to perform the step test. Subjects using walking aids were also excluded.

#### *2.3. Data Collection*

Sociodemographic (age and sex), anthropometric (weight, height, and body mass index [BMI]), clinical (comorbidities and smoking status, i.e., current smoker, past smoker, or never smoker), and physical activity (PA) data were collected. PA was assessed using the brief physical activity assessment tool [19]. This tool consists of two questions that consider the frequency and duration of moderate and vigorous PA during a usual week. Each question is rated in a 1–4 scale. Total scores vary from 0 to 8 and they yield further classification of the individual as "insufficiently active" (score 0–3) or "sufficiently active" (score ≥ 4) [17]. These classification categories showed good construct validity (0.394 ≤ ρ ≤ 0.435; 0.36 ≤ κ ≤ 0.64; 0.5 ≤ sensitivity ≤ 0.75, 0.74 ≤ specificity ≤ 0.91) in patients with various health conditions [19–21].

Age, sex, height, weight, BMI, smoking status, and PA were chosen as independent variables for the development of the reference equation due to their simple collection in clinical practice and have been included in previous reference equations for other field tests (e.g., 6-min walk test and incremental shuttle walk test) [16].

Participants performed two repetitions of the IST with a minimum rest period of 30-min between them. Data were collected by physiotherapy final year undergraduate students under the coordination of trained physiotherapists with experience in applying field tests to assess exercise capacity. The best test (highest number of steps) was used in the analysis. Due to the COVID-19 pandemic, all subjects participating in the study used a face mask. Although some of the available literature suggests that negative effects of using face masks during exercise in healthy individuals are negligible and unlikely to impact exercise tolerance significantly [22,23], some studies found a negative impact which results in decreased exercise performance [24,25]. However, the use of face masks was a factor expressed by most of participants in order to participate in data collection.

#### *2.4. Incremental Step Test*

The IST was designed to provide an incremental profile by using a digital recording with a timed metronome step cadence and a 20 cm tall platform (Max Aerobic step, Mambo, Tisselt, Belgium). The test consists of 15 levels, each of a 1-min duration. The timed metronome sets the step cadence, which starts at 10 steps/minute and increases 2 steps/minute every 1 min, with a step cadence maximum of 38 steps/minute (level 15). The maximum test duration is 15 min [14]. Heart rate (HR) and SpO2(%) were monitored during the tests with a pulse oximeter (PalmSAT 2500 Series, Nonin Medical, Minnesota, USA). The criteria to stop the test were as follows: unable to maintain the required step cadence for 10 s; requested by the participant; if abnormal physiological responses occurred (i.e., persistent peripheral oxygen saturation <85%); and reported symptoms of exertion intolerance (e.g., chest pain, intolerable dyspnea or leg fatigue, dizziness, vertigo, and pallor).

#### *2.5. Sample size and Data Analysis*

For this study, the sample size for multiple linear regression to establish the reference equation of the IST was determined according to Green's (1991) recommendations [26]:

$$\text{N} > 50 + 8 \text{ m},\tag{1}$$

where N is the total sample size and m is the number of independent variables. Because seven independent variables (age [numerical], sex, height, weight, BMI, smoking status, and PA) were considered, a minimum of 106 participants was necessary during the recruitment phase.

The statistical analysis was performed using SPSS version 27.0 (IBM Corporation, Armonk, NY, USA). The level of statistical significance was set at *p* < 0.05. The normality of data distribution was verified using the Kolmogorov–Smirnov or Shapiro–Wilk tests. Descriptive statistics were used to describe the samples, and the data are presented as mean ± standard deviation or median [percentile 25–75]. Comparisons between age decades were explored using the Kruskal–Wallis test with Bonferroni's correction.

The development of the reference equation was performed using a random selection of 80% of the included participants. According to the analysis of data normality, Spearman's correlation coefficients were calculated to explore the association between the dependent variable (number of steps) and the independent variables (age, sex, height, weight, BMI, smoking status, and PA). The strength of the correlations was classified according to British

Medical Journal guidelines: significant correlation coefficients of 0–0.19 as very weak; 0.2–0.39 as weak; 0.4–0.59 as moderate; 0.6–0.79 as strong; and 0.8–1 as very strong [27]. The dependent variables that were significantly correlated with the independent variables were suited in a further selection stepwise multiple regression. The assumptions of the multiple regression were confirmed, namely the linear relationship between the dependent and independent variables, absence of multicollinearity within the independent variables, homoscedasticity, outliers, and normality of residuals) and r2 was used to assess the performance of the model. The validity of the reference equation created was further assessed with the remaining 20% of the sample and it consisted of comparing the results achieved and those predicted by the equation with the Wilcoxon signed-rank test.

#### **3. Results**

In total, 176 volunteers were recruited, and 14 participants were excluded due to the presence of a respiratory disease (*n* = 3), musculoskeletal disease (*n* = 6), status of long-COVID-19 (*n* = 4), and the use of walking aids (*n* = 1). From these 162 participants, 7 were excluded for presenting persistent high levels of BP before the performance of the step test. Therefore, 155 adults participated in the study (60.6% female; mean age, 47.8 ± 19.7 years; minimum age, 19 years; maximum age, 93 years). Most were non-smokers (63.2%), the mean of BMI was classified as normal (24.9 ± 3.6 kg/m2) [28], and the BMI minimum and maximum were 17 and 37 kg/m2, respectively. According to PA scores, 85 participants (54.8%) were classified as insufficiently active and the others 70 participants (45.2%) were classified as sufficiently active (Table 1).


**Table 1.** Characteristics of participants.

Data are expressed as mean ± standard deviation, absolute frequency (%), or median [interquartile range], unless otherwise stated. Legend: min, minimum; max, maximum; BMI, body mass index.

#### *3.1. Performances on the Incremental Step Test by Age Decade*

Participants (*n* = 155) performed a mean of 328 [170; 360] steps in the IST. Table 2 shows the median values of performance for the IST by age decade. Performance in the IST was found to decrease with age (*p* < 0.001) (Table 2).



Data are expressed as median [interquartile range]. Legend: IST, incremental step test. <sup>a</sup> Different from 60–69, 70–79 and ≥80 years. <sup>b</sup> Different from 70–79 and ≥80 years. <sup>c</sup> Different from 18–29 and 30–39 years. <sup>d</sup> Different from all age groups, except 60–69 and ≥80 years. <sup>e</sup> Different from all age groups, except 60–69 and 70–79 years.

#### *3.2. Reference Equation*

According to 80% of the sample (*n* = 124) and based on the best performance in the IST, the reference equation was developed. There were significant correlations between the number of steps in the IST and age (r = −0.68, strong correlation, *p* < 0.001), sex (r = 0.11, very weak correlation, *p* = 0.04), and height (r = 0,33, weak correlation, *p* < 0.001), but not weight, smoking status, BMI, and PA (*p* > 0.05). The model of the stepwise multiple regression showed that age and sex explained 60% (*p* < 0.001) of variability in the IST (Table 3). The reference equation for the number of steps was:

> Number of steps (IST) = 475.52 − (4.68 × age years) + (30.5 × sex), where male = 1 and female = 0. (2)

#### **Table 3.** Multiple linear regression analysis with the incremental step test.


Legend; IST, incremental step test; B, unstandardized coefficients; β, beta (standardized coefficient); CI, confidence interval; SE, standard error.
