
cc
BY NC ND
ISSN-impreso 1390-7581
ISSN-digital 2661-6742
Volumen 19
Número 3
23
REE 19(3) Riobamba sep. - dic. 2025
The quality of life of patients with respiratory symptoms
La calidad de vida de pacientes con síntomas respiratorios
https://doi.org/10.37135/ee.04.24.02
Authors:
Jessica Paola Chancusig Palacios - https://orcid.org/0009-0002-1574-7943
Lizbeth Alexandra García Tapia - https://orcid.org/0009-0008-6631-1588
Javier Caiza Lema - https://orcid.org/0000-0003-2393-3885
Affiliation:
Claudio Benati Hospital. Cotopaxi – Ecuador
Technical University of Ambato. Physiotherapy Program. Ambato, Ecuador
Corresponding author: Jessica Paola Chancusig Palacios. Claudio Benati Hospital. Cotopaxi –
Ecuador. E-mail: chancusigjessica4@gmail.com Telephone: 096 193 1766
Received: april, 30 2025 Accepted: august,1 2025
ABSTRACT
Population aging is associated with physiological changes and chronic diseases, such as COPD,
which significantly impact quality of life (QoL). This study examines the relationship between
respiratory symptoms and quality of life in rural patients, utilizing the St. George's Respiratory
Questionnaire (SGRQ) and the modified British Medical Research Council (mMRC) dyspnoea
scale. An observational and prospective study was conducted in 40 patients aged 40 to 90 years who
were treated at the Claudio Benati Hospital in Zumbahua, Pujilí Town, Cotopaxi Province.
Demographic variables, respiratory symptoms, and quality of life were assessed using SGRQ and
mMRC. The sample was obtained by convenience sampling, excluding those who did not meet
the established criteria. The sample included 65 % women and 35 % men, with a mean age of
63.6 years. The most prevalent respiratory symptoms were cough (100 %) and dyspnea (100 %).
The SGRQ showed an average impairment of 72.5 %, with physical activity being the most compromised
dimension (87.3 %). The mMRC indicated moderate to severe dyspnea, with 60 % of participants
in grade 3. A significant relationship was found between exacerbations and quality of life (rho = 0.67,
p < 0.001), but not between symptom frequency and individual dimensions. The results demonstrate
a significant decline in the quality of life of patients with respiratory symptoms, underscoring the
utility of tools such as the SGRQ and mMRC in assessing impact and guiding clinical interventions
in vulnerable populations.
Keywords: chronic obstructive pulmonary disease, quality of life, dyspnea, rural population.
RESUMEN
El envejecimiento poblacional está asociado a cambios fisiológicos y enfermedades crónicas, como la
EPOC, que impactan significativamente en la calidad de vida (CV). Este estudio evalúa la relación entre
síntomas respiratorios y calidad de vida en pacientes rurales, empleando el Cuestionario Respiratorio de
St. George (CRSG) y la escala de disnea modificada del British Medical Research Council (mMRC).
Se realizó un estudio observacional y prospectivo en 40 pacientes de 40 a 90 años atendidos en el
Hospital Claudio Benati, de Zumbahua, cantón Pujilí, provincia de Cotopaxi. Se evaluaron variables
demográficas, síntomas respiratorios y calidad de vida mediante CRSG y mMRC. La muestra se
obtuvo por conveniencia, excluyendo a quienes no cumplían los criterios establecidos. La muestra
incluyó 65 % mujeres y 35 % hombres, con media de edad de 63,6 años. Los síntomas respiratorios más
prevalentes fueron tos (100 %) y disnea (100 %). El CRSG mostró una afectación promedio del 72,5 %,
siendo la actividad física la dimensión más comprometida (87,3 %). La mMRC indicó disnea moderada
a severa, con 60 % de participantes en grado 3. Se encontró una relación significativa entre exacerbaciones
y calidad de vida (rho=0,67, p<0,001), pero no entre frecuencia de síntomas y dimensiones individuales.
Los resultados evidencian una reducción considerable en la calidad de vida de pacientes con síntomas
respiratorios, destacando la utilidad de herramientas como CRSG y mMRC para evaluar impacto y
guiar intervenciones clínicas en poblaciones vulnerables.
Palabras clave: enfermedad pulmonar obstructiva crónica, calidad de vida, disnea, población rural.
INTRODUCTION
The older adult age group is a population experiencing exponential growth, undergoing multiple
morphological, physiological, biochemical, and psychological changes that expose individuals to
significant physical and mental limitations.(1,2)
According to the World Health Organization (WHO), 12.5 % of the total population is over 60 years
old. This figure is expected to increase to 29.7 % by 2060.(3) The condition of being an older adult
reveals a functional and structural deterioration due to physiological changes such as decreased protein
synthesis, decreased bone density, alterations in the motor plate, and loss of brain mass, giving rise to
scenarios of chronic pathologies. Within this concept are cardiopulmonary diseases that have socioeconomic
significance due to the discriminated increase in cases and the care they require.(4,5)
The WHO(6) estimates indicate that approximately 30 % to 40 % of cases of chronic respiratory diseases
are related to indoor air pollution, in addition to exposure to dust and working in polluted environments,(7,8)
while acute cases are mainly associated with seasonal changes.(9) These figures increase in low- and
middle-income countries, where primary health care systems often have difficulties in diagnosis,
delaying care, especially for populations in areas with limited access, such as rural areas.(10)
All the changes that occur during the aging process have a significant impact on psychomotor skills,
which in turn determine the quality of life. This concept relates to several value judgments that
become self-attributable to the underlying pathology or condition itself and the limitations it produces.(11)
The fact that it is associated with subjective components makes it difficult to find a metric to quantify
it, tacitly evidencing the need to standardize tests, especially on older adults with a fragile condition.(12,13)
Respiratory pathologies such as chronic obstructive pulmonary disease (COPD) are one of the conditions
that most compromise quality of life. Recent epidemiological data, such as those collected in the 2023
Global Burden of Disease (GBD) study, show that COPD has a prevalence of 6 % in the global
population and is also associated with a considerable deterioration in quality of life.(14,15)
Respiratory symptoms serve as an indicator or predictor of respiratory pathology, providing insight
into its progression or worsening, and can also help identify limitations in daily living activities, exercise,
and work performance.(16) In this way, information on respiratory symptoms should be considered of
vital importance for epidemiological studies, especially in rural areas, to generate baselines that
favor the development of a timely intervention. It should also be considered an important aspect in
comprehensive care,(17) being essential the application of effective evaluation instruments or batteries
that provide reliable and valid data on respiratory symptoms in different populations, such as those
offered by the Saint George Questionnaire (CRSG), applied to the Latin American population, which
has allowed to glimpse the real situation of chronic and acute respiratory pathologies.(18,19)
In Ecuador, although the St George test carried out by Rivadeneira has been validated since 2025,(20)
scientific evidence on respiratory symptoms and their effect on the quality of life in people in rural
areas is limited; studies such as that of Caini et al (2019) found that in Ecuador the highest influenza
activity due to viral respiratory infections occurs in December and January.(21)
In Zumbahua, a rural parish of Pujilí, a highland area of Cotopaxi province, the majority of the
inhabitants are registered as indigenous; most of them are engaged in agriculture.(22) These areas do
not have all the basic services, so access to hospitals or health care centers is a real challenge.(23, 24)
Previous studies, such as those by Ibrahim et al.,( 25) have confirmed the pre-existing idea of the
relationship between chronic respiratory symptoms and alterations in quality of life across the physical,
psychological, and social spheres. Therefore, their early detection would improve the independence,
autonomy, and well-being of patients who suffer from them.(26)
Under this premise, this study aimed to identify the quality of life of patients with respiratory symptoms
living in rural areas who attend the Claudio Benati Hospital.
MATERIALS AND METHODS
This research was developed through an observational and prospective qualitative-quantitative
approach carried out on 40 patients between 40 and 90 years old selected by non-probabilistic
convenience sampling, all from the rural area of Zumbahua, who were part of the program for patients
with respiratory pathology behaviors and were under biweekly follow-up at the Claudio Benati
Hospital in Zumbahua, Pujilí canton, Cotopaxi province, in the period between 31 Oct 2023 to 6 Jan
2024. Patients with neurological disorders or mental health conditions that make communication
impossible, with difficulty understanding and answering questions, patients outside the Zumbahua
parish during the study, and those who did not agree to sign the informed consent were excluded.
The instrument used was the Saint George Questionnaire (SGRQ), specifically designed to evaluate
the quality of life in patients with COPD, consisting of 50 questions organized on a 0 -5 point Likert
scale.(27) According to the questionnaire, it has a cohort point where the higher the result, the worse the
than 0.70 for all components. In addition, high sensitivity and specificity have been demonstrated
under an ROC analysis, with a value of 0.92 (95 % IC 0.85 to 0.99) for COPD. Similarly, it exhibits
COPD.(28, 29)
On the other hand, the modified dyspnea scale of the British Medical Research Council (mMRC) was
also applied, which measures the severity of dyspnea in patients with COPD based on their perception
of the disease, it consists of 5 items scored between 0 and 4.(30) Being an easy-to-apply scale makes it
accessible and feasible to implement in COPD; a sensitivity ranging from 66 % to 81 %, specificity
from 56 % to 70 % with a ROC curve between 0.62 to 0.76 has been shown.(31)
As regards this study, data on demographic variables such as age, sex (M/F), marital status
(married/single/divorced/free union/widowed), weight (kg), height (cm), language (Spanish/-
Quichua), the location of the communities and addresses of each patient will be used;. In contrast, the
analysis variables are respiratory symptoms, which are physical manifestations such as cough, phlegm,
shortness of breath, chest noises.(27)
The intervention protocol was evaluated and authorized by the Research Ethics Committee of the
University of the Americas (CEISH-UDLA), as well as authorization from the General Director of the
Claudio Benatti Hospital in Zumbahua and the president of the Zumbahua Rural Parish GAD (Group
of Rural Parishes), representing the rural population.
RESULTS
Of the total participants, 14 (35 %) were men and 26 (65 %) were women, with ages ranging from
42 to 90 years, with a mean of 63.63 (SD 14.208). According to the weight, the mean was 56.12 kg
(SD 10.14), and the mean height was 1.5 m (SD 0.07). Regarding the marital status of the partici-
pants, 1 (2.5 %) was single, 34 (85 %) were married, and 5 (12.5 %) were widowed. Regarding the
community to which the participants belong, 3 (7.5 %) were from Yanaturo, 6 (15 %) from
Yanashpa, 7 (17.5 %) from Saraugsha, 11 (27.5 %) from Chami, 6 (15 %) from Michacala, and 7
(17.5 %) from Pucaugsha, as expressed in Table 1.
Table 1. Sociodemographic data
Note: (SD: standard deviation)
The weighting of the Saint George Respiratory Questionnaire (SGRQ) related to quality of life was
scored according to the recommendations that propose a value of 0 to 100 for the total score of the
questionnaire.(32) In addition, a reductionist numerical analysis that gives each sphere a total score
(symptoms 566.2; activity 982.9; impact 1652.8) and the weighting obtained separately by dividing
the sum of the weights by the maximum possible weighting for each component and expressing the
result as a percentage.(33) Concerning the respiratory symptoms detected, they presented cough and
shortness of breath, phlegm and noises in the respiratory cycle, obtaining an average level of 72.5 %
(±16.6), these values demonstrate that in general there is a considerable affectation where the most
affected sphere was physical activity with 87.3 % (±16.63) followed by symptoms with 68.67 %
(±19.75) and 65.9 % (±21.51) in the impact expressed in table 2.
Table 2. Results of respiratory symptoms and SGRQ
Exacerbation of respiratory symptoms
Figure 1 shows the percentage of symptom exacerbation, measured using the modified Medical
Research Council dyspnea scale (mMRC). 60 % of the sample presented a level 3, corresponding to
a state where dyspnea requires stopping to rest after walking about 100 meters or after a few minutes
of walking on flat ground; followed by 22.5 % with level 2, reflecting a sensation where dyspnea
causes them to be unable to keep up with other people of the same age walking on flat ground or
having to stop to rest when walking on flat ground at their own pace; and 17.5 % with level 4, corres-
ponding to a sensation where dyspnea prevents the patient from leaving home or occurs with activi-
ties such as dressing or undressing. These data reveal a considerable impact on the well-being and
normal functioning of the participants, which could have a significant effect on their quality of life.
Figure 1. Level of exacerbation of respiratory symptoms, measured through the mMRC
Distribution of the sample of agreement to the frequency of the respiratory symptoms and the
community
In Table 3, observe that most of the participants presented four respiratory symptoms, of which 9
(22.5 %) live in Chami, 6 (15.0 %) in Yanashpa, 5 (12.5 %) in Saraugsha and Michala, while 4 (10.0
%) live in Pucaugsha and 2 (5.0 %) in Yanaturo.
Table 3. Sample distribution, frequency of respiratory symptoms, and community
Correlation between variables
To assess the normal distribution of the data for each variable, the Shapiro-Wilk normality test was
applied, given that the sample size was smaller than 50 participants. The impact variable (0.063)
exhibited a normal distribution, whereas the remaining variables did not, as shown in Table 4. Therefore,
a nonparametric test was required to measure the correlation between the variables.
Table 4. Data normality test
Table 5 presents the correlation between variables, indicating a p-value of 0.000 between quality of
life (QoL) and symptom exacerbation (mMRC). This reflects a direct, moderate-to-high positive
correlation, with a Spearman correlation coefficient of 0.67. The relationship between symptom
frequency and overall QoL, as well as by dimension, showed a p-value of 0.325 for the total, 0.66
for symptoms, 0.761 for activity, and 0.315 for impact. The correlation between symptom frequency
and mMRC also showed a p-value of 0.799. These data indicate a correlation only between quality
of life and symptom exacerbation.
Board 5. Evidence of correlation between variables
DISCUSSION
This study, conducted among patients with respiratory symptoms from rural areas treated at the Claudio
Benatti Hospital, collected information on the level of quality of life, measured using the SGRQ scale.
The majority of participants were women (65 %) with an average age of 63.63; these data are similar to
those reported by De la Torre et al.,(34) who found that 18.2 % of 450 patients over 40 years of age
presented chronic respiratory symptoms, affecting more people between 60 and 70 years of age, with a
predominance in the female sex (59.8 %).
Regarding respiratory symptoms, a large proportion of older adults in this study experienced cough and
shortness of breath, followed by phlegm production and chest noises, which may be associated with the
combustion of materials such as firewood or charcoal for cooking in rural areas. (35,36) The high
prevalence of cough in households where biomass fuel is used is consistent with the findings of Wafula
et al.(37) When examining the frequency of respiratory symptoms among the participants by community.
It was observed that the majority (77.5 %) presented with four symptoms, predominantly from the
Chami and Yanashpa communities.
The analysis of quality of life utilized the SGRQ instrument, which has been reported to be more applicable
for patients with COPD, offering the same clinical value as tools such as the COPD Assessment Test
(CAT)(38) and the Chronic Respiratory Questionnaire (CRQ).(39) A point to highlight is the high reliability
of the questionnaire to be related to functional limitations, obtaining scores between 0.7 and 0.8, which
ranges from moderate to adequate.(40)
An average of 72.5 % of the affected area was obtained, which, according to the internationally proposed
estimate, indicates a considerable decrease if 100 % is set as the base value for the maximum conditioning
criterion of quality of life.(41) The most affected areas were activity (87.3 %), symptoms (68.67 %), and
impact (65.9 %). These results show a population with high functional deterioration due to respiratory
symptoms, coinciding with previous studies such as those of Lee et al., where 71.4 % of patients with
COPD had mild airflow limitation measured by spirometry, of which 59.6 % had a high punctual, being
presumptive for alteration of the quality of life.(42) It has been seen that the psychometric properties of
the SGRQ mean that it is not for exclusive use in COPD, as mentioned in the systematic review by
McLeese et al. where when applied to patients with bronchiectasis it presents a high reliability index,(43)
an idea countered by Daudey et al. who mention the SGRQ as lacking a partial view of the impact of the
disease, which restricts its capacity to guide therapeutic decisions comprehensively.(44)
The results obtained show a considerable reduction in the quality of life associated with the presence of
respiratory symptoms, both acute and chronic, similar to the studies by Bolívar et al.,(45) who reported an
overall impact of 26.9 % in patients exposed to tobacco. In comparison, Rodríguez et al.(46) found an
overall average of 52.1 % in symptoms, 79.3 % in activity, and 55.7 % in impact in patients with COPD.
Finally, regarding the exacerbation of respiratory symptoms, measured using the mMRC scale, dyspnea
was found at levels between 2 and 4, with a higher proportion (60 %) at level 3, characterized by a
feeling of shortness of breath that forces one to stop before walking 100 meters or after a few minutes
on flat terrain. When considering symptom exacerbation by sex. It was observed that both women and
men predominantly presented grade 3 dyspnea, with 40 % and 20 % respectively. Similarly, the correlation
analysis between quality of life, as quantified by SGRQ, and symptom exacerbation, as measured by
mMRC, showed a significant relationship (p = 0.000), with a Spearman's rho of 0.6, indicating a moderate
to high correlation. However, no significant correlation was found between symptom frequency and the
SGRQ, nor between symptom frequency and the mMRC, which could be due to the short recording
period for symptom frequency. These data coincide with those shown by Phua et al.,(47) where in patients
with idiopathic pulmonary fibrosis, the mMRC had a consistent relationship with the quality of life
(r=0.52), identifying the inexorable presence of worse psychological state, such as presenting depression
and functional deterioration.
The limitations of this study relate to the type of design used, which only allows for describing the quali-
ty of life in patients with respiratory symptoms, without establishing a precise correlation between quali-
ty of life and the exacerbation of symptoms by individual sphere reported.
CONCLUSION
A significant relationship was found between quality of life and respiratory symptoms. This suggests
that assessing quality of life in patients with respiratory symptoms could be a helpful tool for monitoring
patients and anticipating potential complications in acute respiratory illnesses or exacerbations of
chronic diseases. This assessment can contribute to a better understanding of patient needs, enabling
comprehensive treatment and improved clinical outcomes. Despite existing limitations, the data
obtained can serve as a basis for future randomized studies and the development of preventive strategies
for managing chronic respiratory diseases. Detailed recording of respiratory symptom exacerbations
is also suggested in patients requiring long-term monitoring.
Conflict of interest: The authors declare that they have no conflict of interest.
Contribution statement: All authors contributed to the conception, preparation, and development
of the manuscript.
BIBLIOGRAPHIC REFERENCES
1. Vanleerberghe P, De Witte N, Claes C, Schalock RL, Verté D. The quality of life of older
people aging in place: a literature review. Qual Life Res [Internet]. 2017; [cited 1 Nov 2024];
26(11):2899–2907. Available at: https://www.proquest.com/docview/1954949197?pq-origsite=
gscholar&fromopenview=true&sourcetype=Scholarly%20Journals DOI: http://dx.doi.org/
10.1007/s11136-017-1651-0 .
2. Briggs R, McDonough A, Ellis G, Bennett K, O'Neill D, Robinson D. Comprehensive Geriatric
Assessment for community-dwelling, high-risk, frail, older people. Cochrane Database Syst
Rev [Internet]. 2022 [cited 2 Nov 2024]; 5(5):CD012705. Available at: https://www.cochranelibrary.
com/cdsr/doi/10.1002/14651858.CD012705.pub2/pdf/full DOI: http://dx.doi.org/10.1002/
14651858.CD012705.pub2 .
3. World Health Organization. Aging and health [Internet]. Who.int. [Internet]. 2024 [cited 26
Nov 2024];. Available at: https://www.who.int/news-room/fact-sheets/detail/ageing-and-health.
4. Padilla Colón CJ, Molina-Vicenty IL, Frontera-Rodríguez M, García-Ferré A, Rivera BP,
Cintrón-Vélez G, et al. Muscle and Bone Mass Loss in the Elderly Population: Advances in
diagnosis and treatment. J Biomed (Syd) [Internet]. 2018 [cited 3 Nov 2024] ;3:40–9. Available
at: https://pmc.ncbi.nlm.nih.gov/articles/PMC6261527/pdf/nihms947379.pdf DOI: http://dx.
doi.org/10.7150/jbm.23390 .
5. Sieck GC. Physiology in perspective: Understanding the aging process. Physiology (Bethesda)
[Internet]. 2018 [cited 4 Nov 2024];33(6):372–3. Available at: https://journals.physiology.org/
doi/pdf/10.1152/physiol.00042.2018 DOI: http://dx.doi.org/10.1152/physiol.00042.2018 .
6. WHO. Chronic obstructive pulmonary disease (COPD) - Facts and Figures. ; 2023.
7. PAHO. The Burden of Chronic Respiratory Diseases in the Region of the Americas,
2000–2019. Pan American Health Organization. 2021.
8. De la Torre CY PMFC. Quality of life in patients with chronic respiratory symptoms. Invest
Medicoquir. [Internet] 2018 [cited 6 Nov 2024]; 10(1): p. 65-80. Available from:
https://www.medigraphic.com/cgi-bin/new/resumen.cgi?IDARTICULO=85503.
9. Altay-Kocak A SSTADMBABG. Retrospective evaluation of viral respiratory tract infections
in a university hospital in Ankara, Turkey (2016-2019). J Infect Dev Ctries. [Internet] 2022
[cited 8 Nov 2024]; 16(5). Available at: https://www.proquest.com/docview/2676521217?pq-
origsite=gscholar&fromopenview=true&sourcetype=Scholarly%20Journals.
10. HT Band TRMKBGMGMRFBSS. Community prevalence of chronic respiratory symptoms
in rural Malawi: Implications for policy. PLoS One. [Internet] 2017 [cited 10 Nov 2024]; 7(12).
Available at: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0188437
&type=printable.
11. Bacanoiu MV, Danoiu M. New strategies to improve the quality of life for normal aging
versus pathological aging. J Clin Med [Internet]. 2022 [cited 11 Nov 2024] ;11(14):4207.
Available at: https://www.mdpi.com/2077-0383/11/14/4207 DOI: http://dx.doi.org/10.3390/
jcm11144207 .
12. Noto S. Perspectives on aging and quality of life. Healthcare (Basel) [Internet]. 2023 [cited
12 Nov 2024];11(15). Available at: https://www.mdpi.com/2227-9032/11/15/2131 DOI:
http://dx.doi.org/10.3390/healthcare11152131 .
13. Blane D, Netuveli G, Montgomery SM. Quality of life, health and physiological status and
change at older ages. Soc Sci Med [Internet]. 2008 [cited 1 Oct 2024];66(7):1579–87. Available
at: https://www.sciencedirect.com/science/article/abs/pii/S027795360700679X DOI:
http://dx.doi.org/10.1016/j.socscimed.2007.12.021 .
14. Boers E, Barrett M, Su JG, Benjafield AV, Sinha S, Kaye L, et al. Global Burden of chronic
obstructive pulmonary disease through 2050. JAMA Netw Open [Internet]. 2023 [cited 4 Oct
2024] ;6(12):e2346598. Available in: https://pubmed.ncbi.nlm.nih.gov/38060225/. DOI:
http://dx.doi.org/10.1001/jamanetworkopen.2023.46598 .
15. Assaf EA, Badarneh A, Saifan A, Al-Yateem N. Chronic obstructive pulmonary disease
patients' quality of life and its related factors: A cross-sectional study of the Jordanian population.
F1000Res [Internet]. 2022 [cited 9 Oct 2024];11:581. Available at: https://www.proquest.
com/docview/2696827663?pq-origsite=gscholar&fromopenview=true&sourcetype=Scholarly
%20Journals DOI: http://dx.doi.org/10.12688/f1000research.121783.1 .
16. Hurst JR, Skolnik N, Hansen GJ, Anzueto A, Donaldson GC, Dransfield MT, et al. Understanding
the impact of chronic obstructive pulmonary disease exacerbations on patient health and
quality of life. Eur J Intern Med [Internet]. 2020 [cited 10 Oct 2024] ;73:1–6. Available at:
https://www.sciencedirect.com/science/article/pii/S0953620519304431 DOI: http://dx.
doi.org/10.1016/j.ejim.2019.12.014 .
17. Pinzón-Rondón AM, Botero JC, Mosquera-Gómez LE, Botero-Pinzon M, Cavelier JE. Altitude
and quality of life of older people in Colombia: A multilevel study. J Appl Gerontol [Internet].
2022 [cited 12 Oct 2024];41(6):1604–14. Available from: http://dx.doi.org/10.1177/
07334648221078577 .
18. Poot CC, Meijer E, Kruis AL, Smidt N, Chavannes NH, Honkoop PJ. Integrated disease
management interventions for patients with chronic obstructive pulmonary disease. Cochrane
Database Syst Rev [Internet]. 2021 [cited 13 Oct 2024];9(9):CD009437. Available at:
https://www.cochranelibrary.com/cdsr/doi/10.1002/14651858.CD009437.pub2/pdf/full DOI:
http://dx.doi.org/10.1002/14651858.CD009437.pub3 .
19. Welling JBA, Hartman JE, Ten Hacken NHT, Klooster K, Slebos DJ. The minimal important
difference for the St George's Respiratory Questionnaire in patients with severe COPD. Eur
Respir J [Internet]. 2015 [cited 15 Oct 2024];46(6):1598–604. Available at: https://publications.
ersnet.org/content/erj%3A%3A%3A46%3A%3A%3A6%3A%3A%3A1598.full.pdf?implicit-
login=true%26717 DOI: http://dx.doi.org/10.1183/13993003.00535-2015 .
20. Rivadeneira Guerrero MF. Validation of the ST. George Respiratory Questionnaire to assess
quality of life in Ecuadorian patients with COPD. Rev Cuid. 2015 [cited 16 Oct 2024]; 6(1):
p. 882-891. Available from: http://www.scielo.org.co/scielo.php?pid=S2216-09732015000
100002&script=sci_arttext.
21. Caini S dMDOMPDBMMMPMOJBGLCPJBA. The epidemiology and severity of respiratory
viral infections in a tropical country: Ecuador, 2009-2016. J Infect Public Health. 2019 [cited
19 Oct 2024]; 12: p. 357- 363. Available at: https://www.sciencedirect.com/science/article/pii/
S1876034118303204.
22. SEMPLADES. Pujili Canton. , Methods, Analysis, and Research Department; 2014.
23. INEC. Pujili Canton - Facts and Figures. ; 2001.
24. McManamny TE DRCKBLSJSKLJ. Emergency ambulance demand by older adults from
rural and regional Victoria, Australia. Australas J Ageing. 2022 [cited 20 Oct 2024] ; 41(1).
Available in: https://pubmed.ncbi.nlm.nih.gov/33955132/.
25. Vogelmeier CF, Alter P. Assessing symptom burden. Clin Chest Med [Internet]. 2020 [cited
21 Oct 2024] ;41(3):367–73. Available at: https://www.chestmed.theclinics.com/article/
S0272-5231(20)30038-1/abstract DOI: http://dx.doi.org/10.1016/j.ccm.2020.06.005 .
26. Ibrahim S, Manu MK, James BS, Kamath A, Shetty RS. Health Related Quality of Life
among patients with Chronic Obstructive Pulmonary Disease at a tertiary care teaching hospital
in southern India. Clin Epidemiol Glob Health [Internet]. 2021 [cited 7 Oct 2024];
10(100711):100711. Available at: https://www.sciencedirect.com/science/article/pii/S22133
98421000154. DOI: http://dx.doi.org/10.1016/j.cegh.2021.100711 .
27. WHOQOL Group. The World Health Organization Quality of Life assessment (WHOQOL):
position paper from the World Health Organization. Soc Sci Med. 1995 [cited 3 Nov 2024];
41(10): p. 1403- 1409. Available in: https://www.sciencedirect.com/science/article/abs/pii/
027795369500112K.
28. Morgan BW, Grigsby MR, Siddharthan T, Kalyesubula R, Wise RA, Hurst JR, et al. Validation
of the Saint George's Respiratory Questionnaire in Uganda. BMJ Open Respir Res [Internet].
2018 [cited 15 Jan, 2025];5(1):e000276. Available at: https://bmjopenrespres.bmj.com/content/
5/1/e000276.
29. Prior TS, Hoyer N, Shaker SB, Davidsen JR, Yorke J, Hilberg O, et al. Validation of the
IPF-specific version of St. George's Respiratory Questionnaire. Breathe Res [Internet]. 2019
[cited 7 Nov 2024] ;20(1):199. Available at: https://www.proquest.com/docview/2292762830?
pq-origsite=gscholar&fromopenview=true&sourcetype=Scholarly%20Journals DOI: 10.1186/
s12931-019-1169-9.
30. Munari AB, Gulart AA, Araújo J, Zanotto J, Sagrillo LM, Karloh M, et al. Modified Medical
Research Council and COPD Assessment Test cutoff points. Respir Care [Internet]. 2021
[cited 12 Nov 2024] ;66(12):1876–84. Available at: https://www.liebertpub.com/doi/abs/
10.4187/respcare.08889?journalCode=rcare DOI: http://dx.doi.org/10.4187/respcare.08889.
31. Li J, Wang J, Xie Y, Feng Z. Development and validation of the modified patient-reported
outcome scale for chronic obstructive pulmonary disease (mCOPD-PRO). Int J Chron Obstruct
Frequency of the symptoms of the respiratory
2 symptoms 3 symptoms 4 symptoms
Community
Yanaturo
0
0.0
2.
5.0
Yanashpa
0
0.0
0.
15.0
Saraugsha
0
0.0
5.
12.5
Chami
0
0.0
5.
22.5
Michacala
1
2.5
0.
12.5
Pucaugsha
0
0.0
7.
10.0
Total
1
2.5
20.
31 77.5
Pulmon Dis [Internet]. 2020 [cited 5 Nov 2024];15:661–9. Available at: https://www.tandfonline.
com/doi/pdf/10.2147/COPD.S240842 DOI: http://dx.doi.org/10.2147/COPD.S240842 .
32. Moreno-Montoya J BADPLRJGDOIUEPCdLHF. Incidence of acute respiratory symptoms
and COVID-19 in children from public schools in Bogotá, Colombia, between July and
November 2020. Biomédica. 2021 [cited 17 Nov 2024]; 42(Sp.2): p. 73-77. Available from:
http://www.scielo.org.co/scielo.php?pid=S0120-41572022000600073&script=sci_arttext&tlng=en.
33. Jones PW. Interpreting thresholds for a clinically significant change in health status in asthma
and COPD. Eur Respir J [Internet]. 2002 [cited 23 Nov 2024];19(3):398–404. Available at:
https://publications.ersnet.org/content/erj/19/3/398.full DOI: http://dx.doi.org/10.1183/
09031936.02.00063702 .
34. Paap MCS, Lange L, van der Palen J, Bode C. Using the Three-Step Test Interview to understand
how patients perceive the St. George's Respiratory Questionnaire for COPD patients
(SGRQ-C). Qual Life Res [Internet]. 2016 [cited 25 Nov 2024];25(6):1561–70. Available at:
https://www.proquest.com/docview/1789385264?pq-origsite=gscholar&fromopenview=true&
sourcetype=Scholarly%20Journals DOI: http://dx.doi.org/10.1007/s11136-015-1192-3 .
35. de la Torre Chávez Y, Morales IP, Caballero PF. Quality of life in patients with chronic respiratory
symptoms. Investigaciones Medicoquirúrgicas [Internet]. 2018 [cited 30 Nov 2024];10(1).
Available from: https://revcimeq.sld.cu/index.php/imq/article/view/411 .
36. Cáceres-Rivera DI, Roa-Díaz ZM, Domínguez CL, Carreño-Robayo JH, Orozco-Levi MA.
Quality of life in older adults with chronic obstructive pulmonary disease. Medunab [Internet].
2018 [cited 28 Nov 2024];21(1):46–58. Available from: https://revistas.unab.edu.co/index.
php/medunab/article/view/2512. DOI: http://dx.doi.org/10.29375/01237047.2512 .
37. Karunanayake CP, Hagel L, Rennie DC, Lawson JA, Dosman JA, Pahwa P, et al. Prevalence
and risk factors of respiratory symptoms in rural population. J Agromedicine [Internet]. 2015
[cited 29 Nov 2024];20(3):310–7. Available at: https://www.tandfonline.com/doi/abs/
10.1080/1059924X.2015.1042613 DOI: http://dx.doi.org/10.1080/1059924X.2015.1042613 .
38. Wafula ST, Nalugya A, Mendoza H, Kansiime WK, Ssekamatte T, Walekhwa AW, et al. Indoor
air pollutants and respiratory symptoms among residents of an informal urban settlement in
Uganda: A cross-sectional study. PLoS One [Internet]. 2023 [cited 10 Nov 2024] ;18(8):e0290170.
Available at: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0290170 DOI:
http://dx.doi.org/10.1371/journal.pone.0290170 .
39. Morishita-Katsu M, Nishimura K, Taniguchi H, Kimura T, Kondoh Y, Kataoka K, et al. The
COPD assessment test and St George's Respiratory Questionnaire: are they equivalent in
subjects with COPD? Int J Chron Obstruct Pulmon Dis [Internet]. 2016 [cited 15 Nov 2024];
11:1543–51. Available at: https://www.proquest.com/docview/2680094195?pq-origsite=
gscholar&fromopenview=true&sourcetype=Scholarly%20Journals. DOI: http://dx.doi.org/10.2147/
COPD.S104947 .
40. Puhan MA, Guyatt GH, Goldstein R, Mador J, McKim D, Stahl E, et al. Relative responsiveness
of the Chronic Respiratory Questionnaire, St. Georges Respiratory Questionnaire and four
other health-related quality of life instruments for patients with chronic lung disease. Respir
Med [Internet]. 2007 [cited 17 Nov 2024];101(2):308–16. Available at: https://www.sciencedirect.
com/science/article/pii/S0954611106002344. DOI: http://dx.doi.org/10.1016/j.rmed.2006.04.023 .
41. Loubert A, Regnault A, Meunier J, Gutzwiller FS, Regnier SA. Is the St. George's Respiratory
Questionnaire an appropriate measure of symptom severity and activity limitations for clinical
trials in COPD? Analysis of pooled data from five randomized clinical trials. Int J Chron Obstruct
Pulmon Dis [Internet]. 2020 [cited 10 Nov 2024];15:2103–13. Available at: https://www.proquest.
com/docview/2679519808?pq-origsite=gscholar&fromopenview=true&sourcetype=Scholarly
%20Journals. DOI: http://dx.doi.org/10.2147/COPD.S261919 .
42. Lee H, Jhun BW, Cho J, Yoo KH, Lee JH, Kim DK, et al. Different impacts of respiratory
symptoms and comorbidities on COPD-specific health-related quality of life by COPD severity.
Int J Chron Obstruct Pulmon Dis [Internet]. 2017 [cited 8 Nov 2024];12:3301–10. Available
at:https://www.proquest.com/docview/2679877063?pq-origsite=gscholar&fromopenview=
true&sourcetype=Scholarly%20Journals. DOI: http://dx.doi.org/10.2147/COPD.S145910 .
43. McLeese RH, Spinou A, Alfahl Z, Tsagris M, Elborn JS, Chalmers JD, et al. Psychometrics of
health-related quality of life questionnaires in bronchiectasis: a systematic review and
meta-analysis. Eur Respir J [Internet]. 2021 [cited 1 Nov 2024];58(5):2100025. Available at:
https://publications.ersnet.org/content/erj/58/5/2100025?ctkey=shareline&utm_campaign=
shareline&utm_medium=shareline&utm_source=00025-2021. DOI: http://dx.doi.org/10.1183/
13993003.00025-2021 .
44. Daudey L, Peters JB, Molema J, Dekhuijzen PNR, Prins JB, Heijdra YF, et al. Health status in
COPD cannot be measured by the St George's Respiratory Questionnaire alone: an evaluation
of the underlying concepts of this questionnaire. Breathe Res [Internet]. 2010 [cited 3 Nov
2024];11(1):98. Available at: https://link.springer.com/content/pdf/10.1186/1465-9921-11-98.pdf.
DOI: http://dx.doi.org/10.1186/1465-9921-11-98.
45. Bolivar-Grimaldos F, Cano-Rosales DJ, Duran-Sandoval JN, Albarracín-Ruiz MJ,
Rincón-Romero K. Quality of life of patients with chronic obstructive pulmonary disease
participating in a comprehensive educational program. Salud UIS [Internet]. 26 Sept, 2019
[cited 27 Nov, 2024];51(4):305-11. Available from: https://revistas.uis.edu.co/index.php/
revistasaluduis/article/view/9981 .
46. Rodriguez Torres FP, Giraldo Leiva D, Arias Guzmán J. Quality of life of patients in a comprehensive
chronic obstructive pulmonary disease program in Bogotá (Colombia). Univ Médica [Internet].
2023 [cited 23 Nov 2024];64(3). Available from: https://revistas.javeriana.edu.co/files-articulos/
UMED/64- 3(2023)/6572567014/index.html. DOI: http://dx.doi.org/10.11144/javeriana.umed
64-3.epoc .
47. Phua G, Tan GP, Phua HP, Lim WY, Neo HY, Chai GT. Health-related quality of life in a multiracial
Asian interstitial lung disease cohort. J Thorac Dis [Internet]. 2022 [cited 10 Nov 2024];
14(12):4713–24. Available at: https://pmc.ncbi.nlm.nih.gov/articles/PMC9840018/pdf/jtd-14-
12-4713.pdf. DOI: http://dx.doi.org/10.21037/jtd-22-906 .