Literature DB >> 30443552

The impacts of cough: a cross-sectional study in a Finnish adult employee population.

Heikki O Koskela1,2, Anne M Lätti1,2, Juha Pekkanen3,4.   

Abstract

Given the very high prevalence of cough, little is known about its impacts. A questionnaire was sent via e-mail to all public service employees in two towns in Finland. There were 373 subjects with acute cough, 174 with subacute cough and 421 with chronic cough. Cough-related quality of life was assessed with the Leicester Cough Questionnaire (LCQ) and depressive symptoms with Patient Health Questionnaire-2. In addition, data on doctor's visits and sick leave days were collected. Mean LCQ (95% CI) total scores were 16.2 (15.9-16.5), 14.5 (14.1-15.0) and 14.6 (14.3-14.9) among subjects with acute, subacute and chronic cough, respectively (p<0.001). The prevalence of depressive symptoms was 5.4%, 7.5% and 4.8%, respectively, and 5.0% among subjects without current cough (p=0.50). The respective proportions of subjects with at least one doctor's visit due to cough during the previous year were 27.6%, 44.8%, 49.6% and 16.1% (p<0.001). The respective proportions of subjects with at least one sick leave day due to cough during the previous year were 28.9%, 39.1%, 36.3% and 15.3% (p<0.001). Any current cough was associated with an increased the risk of several (three or more) yearly doctor's visit due to any reason (adjusted odds ratio (aOR) 1.49, 95% CI 1.27-1.76) and several (seven or more) yearly sick leave days due to any reason (aOR 1.43, 95% CI 1.22-1.68). Cough decreases quality of life, and has a large socioeconomic impact by increasing doctor's visits and sick leave days. However, it is not associated with depressive symptoms. The impacts of subacute and chronic cough are comparable, and larger than those of acute cough.

Entities:  

Year:  2018        PMID: 30443552      PMCID: PMC6230813          DOI: 10.1183/23120541.00113-2018

Source DB:  PubMed          Journal:  ERJ Open Res        ISSN: 2312-0541


Introduction

Considering the fact that cough is the most common reason why people seek medical consultation, surprisingly little is known about its socioeconomic impacts. The impact of chronic (duration >8 weeks) cough has usually been investigated in patients attending specialist cough clinics [1-3]. However, the populations in these studies may be regarded as highly selected. Very few studies have investigated the impact of chronic cough in community-based populations. In a recent international community-based survey among subjects with chronic (>8 weeks) cough, 96% of the responders reported that cough affected their quality of life (QoL) [4]. 92% reported feeling fed up or depressed due to their cough. Unfortunately, validated measures of QoL and depressive symptoms were not utilised. 93% of the responders had visited a doctor regarding cough at least once. The number of sick leave days was not investigated. To the authors' knowledge, no studies have assessed the impacts of acute (<3 weeks) or subacute (3–8 weeks) cough. In the present study, the impacts of acute, subacute and chronic cough were assessed in a large community-based population.

Methods

Population

This was a cross-sectional study among all public service employees of two middle-sized towns in central Finland (Kuopio and Jyväskylä; 13 980 employees altogether, mean age 46.6 years with 79.2% females). Invitation to the study and the questionnaire were sent via e-mail to the employees' e-mail addresses in March–April 2017. Answers were collected via an electronic reply form. One reminder message was sent if a subject had not responded within 2 weeks. The study was approved by the ethics committee of Kuopio University Hospital (289/2015). Permission to conduct the study was obtained from the town officials. The invitation mail to participate the study included detailed information about the study. The decision of the subject to reply was considered as informed consent.

Questionnaire

The questions were mainly adopted from two previous studies, the Health Behaviour and Health among the Finnish Adult Population study [5] and the Finnish National FINRISK study [6]. The first part of the questionnaire was filled in by all subjects. It included questions about the subject's household, pets, family incomes, occupation, physical activity, smoking history, alcohol consumption, general health-related questions, current medications, recent (within 1 month) somatic symptoms, as well as all disorders diagnosed by a doctor. Asthma-, rhinosinusitis- and reflux-related symptoms were sought by questions currently suggested for epidemiological studies [7-9]. Depressive symptoms were sought utilising the Patient Health Questionnaire-2 (PHQ-2) [10]. The subjects were asked about doctor's visits due to current cough, as well as doctor's visits during the last 12 months for cough and due to any reasons. The subjects were also asked about sick leave days due to cough and due to any reason within the last 12 months. The second part consisted of 23 detailed cough-related questions to be filled by subjects reporting current cough. It included questions about the cough bout frequency and cough duration, as well as the Leicester Cough Questionnaire (LCQ) to measure the cough-related QoL [2]. The questionnaire was first tested in a preliminary sample of 25 subjects and slightly revised before the final study. The questionnaire can be found as a supplementary file.

Definitions

Acute cough was defined as current (within 2 weeks) cough that had lasted for <3 weeks, subacute cough as current cough that had lasted for 3–8 weeks and chronic cough as current cough that had lasted for >8 weeks. Cough with any bout frequency was accepted. Current asthma was present if all the following conditions were fulfilled: presence of wheezing within 12 months, dyspnoea during wheezing and wheezing also without respiratory tract infections [7]. Chronic rhinosinusitis was present if there was either nasal blockage or nasal discharge (anterior or posterior nasal drip) and either facial pain/pressure or reduction/loss of smell for >3 months [8]. Gastro-oesophageal reflux disease was present if there was heartburn and/or regurgitation on ≥1 day a week during the last 3 months [9]. Somatic symptom score was calculated by summing all reported somatic symptoms except cough, giving a value from 0 to 14. Depressive symptoms were defined as PHQ-2 score ≥3 [10]. Allergy was defined as a self-reported allergy to pollens, animals or food. Family history of chronic cough was defined as presence (now or in the past) of chronic (duration >8 weeks) cough in parents, sisters or brothers.

Statistical analysis

Descriptive data is presented as means and 95% confidence intervals. The distribution of the doctor's visits and sick leave days differed significantly from the normal distribution (Kolmogorov–Smirnov test) and parametric tests could thus not be applied. ANOVA, Student's t-test, Mann–Whitney test and Chi-squared test were applied when appropriate. Bonferroni correction was applied in multiple comparisons. The following confounders were considered when analysing doctor's visits and sick leave days: age, sex, body mass index, years of education, family incomes, professional status, number of family members, pet ownership, moisture damage at home and in the workplace, smoking history, alcohol consumption, level of daily physical exercise, family history of chronic (>8 weeks) cough, acetylsalicylic acid intolerance, allergies, somatic symptom score, depressive symptoms, current asthma, chronic rhinosinusitis, and gastro-oesophageal reflux disease. The variables showing at least suggestive (p<0.1) association with the outcome variables in the bivariate analyses were included in the multivariate analysis utilising binary logistic regression analysis with a backward directed stepwise process. A p-value <0.05 was accepted as the level of statistical significance but results showing a suggestive association (p<0.1) are also presented. All analyses were performed using SPSS version 22 for the personal computer (SPSS, Inc., Chicago, IL, USA).

Results

The response rate was 26.4% (3697 subjects; mean age 47.8 (95% CI 47.5–48.2) years, 82.6% females). The basic characteristics of the subjects are expressed in table 1. There were 373 subjects with acute cough, 174 subjects with subacute cough and 421 subjects with chronic cough. Eight subjects could not estimate the cough duration. Of the 421 subjects with chronic cough, 57% had suffered from cough for >1 year and 26% for >5 years (figure 1).
TABLE 1

The basic characteristics of the subjects

CharacteristicNo current coughCurrent coughp-value
Subjects2720976
Age years47.6 (47.2–48.0)48.7 (48.0–49.4)0.006
Female sex82.2%83.9%0.24
Body mass index kg·m−226.4 (26.2–26.6)27.2 (26.9–27.5)<0.001
Current smokers6.6%7.7%0.26
Ever-smokers31.4%31.5%0.96
Smoking history among ever-smokers pack-years6.16 (5.57–6.75)6.98 (5.92–8.05)0.17
Family income per year income class#3.05 (3.02–3.08)2.97 (2.92–3.03)0.021
Somatic symptom score2.36 (2.29–2.43)3.50 (3.36–3.65)<0.001

Data are presented as mean (95% CI) unless otherwise stated. #: income classes: 1, <€15 000 per year; 2, €15 000–40 000 per year; 3, €40 000–70 000 per year; 4, €70 000–120 000 per year; 5, >€120 000 per year. ¶: see main text for definition.

FIGURE 1

The duration distribution of current cough in 968 subjects. Eight subjects with current cough could not define the cough duration.

The basic characteristics of the subjects Data are presented as mean (95% CI) unless otherwise stated. #: income classes: 1, <€15 000 per year; 2, €15 000–40 000 per year; 3, €40 000–70 000 per year; 4, €70 000–120 000 per year; 5, >€120 000 per year. ¶: see main text for definition. The duration distribution of current cough in 968 subjects. Eight subjects with current cough could not define the cough duration. Among the subjects with current cough, the LCQ total score and its domains were higher in subjects with acute cough than in subjects with the longer cough subtypes (table 2). The LCQ scores did not differ between subacute and chronic cough. The subjects with acute cough reported lower cough frequency than the subjects with the longer cough subtypes: the proportion of subjects with cough bouts daily or more often was 54% among subjects with acute cough, 72% among subjects with subacute cough and 64% among subjects with chronic cough (p<0.001).
TABLE 2

Leicester Cough Questionnaire total score and its three domains among subjects with current cough

Acute current cough (n=373)Subacute current cough (n=174)Chronic current cough (n=421)Any current cough (n=976)#
Total score16.2 (15.9–16.5)***14.5 (14.1–15.0)14.6 (14.3–14.9)15.2 (15.0–15.4)
Physical5.1 (5.0–5.2)***4.7 (4.6–4.9)4.8 (4.7–4.9)4.9 (4.9–5.0)
Psychological5.5 (5.4–5.6)***4.8 (4.7–5.0)4.7 (4.6–4.8)5.0 (4.9–5.1)
Social5.6 (5.5–5.7)***5.0 (4.8–5.2)5.1 (5.0–5.2)5.3 (5.2–5.4)

Data are presented as mean (95% CI). Low score indicates poor cough-related quality of life. #: eight subjects with current cough could not define the cough duration. ***: p<0.001 between acute cough and the other cough subtypes, ANOVA; there were no statistically significant differences between subacute and chronic cough.

Leicester Cough Questionnaire total score and its three domains among subjects with current cough Data are presented as mean (95% CI). Low score indicates poor cough-related quality of life. #: eight subjects with current cough could not define the cough duration. ***: p<0.001 between acute cough and the other cough subtypes, ANOVA; there were no statistically significant differences between subacute and chronic cough. The prevalence of depressive symptoms was 5.0% among subjects without current cough, 5.4% among subjects with acute cough, 7.5% among subjects with subacute cough and 4.8% among subjects with chronic cough (p=0.50 between the groups). The prevalence of depressive symptoms was 5.6% among the subjects with any current cough of any bout frequency (p=0.45 compared to the subjects without current cough) and 4.4% among the subjects with current cough occurring daily or more often (p=0.56). Subjects with current cough made more doctor's visits than those without (table 3). Among the subjects with current cough, those with chronic cough visited doctors more often due to current cough than those with the other cough subtypes. When the doctor's visits were analysed within the period of last 12 months, there were no statistically significant differences between subacute and chronic cough but the subjects with acute cough visited doctors less often.
TABLE 3

Doctor's visits

No current coughAny current coughAcute current coughSubacute current coughChronic current cough
Subjects2720976373174421
Subjects with any doctor's visit due to current coughNA26.6%9.9%***27.6%***41.6%***
Subjects with ≥3 doctor's visits due to current coughNA9.1%0.3%***3.5%***19.1%***
Subjects with any doctor's visit due to cough within 12 months16.1%40.3%###27.6%+++44.8%49.6%
Subjects with ≥3 doctor's visits due to cough within 12 months2.6%13.8%###6.2%+++15.5%20.3%
Subjects with any doctor's visit due to any reason within 12 months81.7%88.9%###85.7%*92.5%91.4%
Subjects with ≥3 doctor's visits due to any reason within 12 months41.4%57.7%###50.3%**66.5%61.4%

NA: not assessed. *: p<0.05 between acute cough and both other subtypes; **: p<0.01 between acute cough and both other subtypes; ***: p<0.001 between each cough subtype; ###: p<0.001 between subjects without and with current cough; +++: p<0.001 between acute cough and both other subtypes.

Doctor's visits NA: not assessed. *: p<0.05 between acute cough and both other subtypes; **: p<0.01 between acute cough and both other subtypes; ***: p<0.001 between each cough subtype; ###: p<0.001 between subjects without and with current cough; +++: p<0.001 between acute cough and both other subtypes. The subjects with cough had more sick leave days than those without (table 4). Among the subjects with current cough, those with acute cough had fewer sick leave days than the subjects with subacute or chronic cough. The number of sick leave days in subjects with subacute cough and chronic cough were comparable.
TABLE 4

Sick leave days

No current coughAny current coughAcute current coughSubacute current coughChronic current cough
Subjects2720976373174421
Subjects with any sick leave day due to cough within 12 months15.3%34.0%***28.9%*39.1%36.3%
Subjects with ≥7 sick leave days due to cough within 12 months3.5%12.1%***7.0%*13.8%16.0%
Subjects with any sick leave day due to any reason within 12 months76.1%85.8%***84.4%87.7%87.1%
Subjects with ≥7 sick leave days due to any reason within 12 months32.4%45.7%***40.1%**54.4%**48.0%

*: p<0.05 between acute cough and the other cough subtypes; **: p<0.01 between acute and subacute cough; ***: p<0.001 between any current cough and no current cough.

Sick leave days *: p<0.05 between acute cough and the other cough subtypes; **: p<0.01 between acute and subacute cough; ***: p<0.001 between any current cough and no current cough. The following confounding factors were associated with both doctor's visits and sick leave days in bivariate analyses: age, sex, body mass index, somatic symptom score, depressive symptoms, family incomes and cigarette pack-years (data not shown). The multivariate analysis confirmed that current cough strongly increased the risk of doctor's visits and sick leave days (table 5). The multivariate analysis within cough subtypes revealed that chronic cough increased the risk of doctor's visits due to current cough more than subacute and acute cough (table 6). When the impacts were analysed within the period of last 12 months, the impact of acute cough was smaller than that of the two other cough subtypes whereas the impacts of subacute and chronic cough were comparable.
TABLE 5

Multivariate analysis about the risk of consequences associated with current cough of any duration (n=976)

ConsequenceaOR (95% CI)
Any doctor's visit due to cough within 12 months3.12 (2.62–3.71)
≥3 doctor's visits due to cough within 12 months5.19 (3.80–7.10)
Any doctor's visit due to any reason within 12 months1.36 (1.07–1.72)
≥3 doctor's visits due to any reason within 12 months1.49 (1.27–1.76)
Any sick leave day due to cough within 12 months2.56 (2.14–3.06)
≥7 sick leave days due to cough within 12 months3.38 (2.51–4.54)
Any sick leave day due to any reason within 12 months1.60 (1.30–1.98)
≥7 sick leave days due to any reason within 12 months1.43 (1.22–1.68)

The subjects without current cough served as the control group (n=2720). The odds ratios (aOR) were adjusted for age, sex, body mass index, sum symptom score, depressive symptoms, family incomes and cigarette pack-years. Logistic regression analysis with backward directed stepwise process.

TABLE 6

Multivariate analysis about the risk of consequences associated with acute (n=373), subacute (n=174), and chronic current cough (n=421) when compared to subjects without current cough (n=2720)

ConsequenceAcute cough aOR (95% CI)Subacute cough aOR (95% CI)Chronic cough aOR (95% CI)
Any doctor's visit due to current cough1#3.62 (2.24–5.83)6.53 (4.42–9.66)
≥3 doctor's visits due to current cough1#12.7 (1.51–107)88.9 (12.3–644)
Any doctor's visit due to cough within 12 months1.84 (1.42–2.38)3.79 (2.72–5.28)4.59 (3.64–5.78)
≥3 doctor's visits due to cough within 12 months2.15 (1.30–3.55)6.01 (3.64–9.90)7.45 (5.22–10.6)
Any doctor's visit due to any reason within 12 months1.14 (0.82–1.58)2.22 (1.21–4.06)1.60 (1.10–2.32)
≥3 doctor's visits due to any reason within 12 months1.21 (0.95–1.53)2.22 (1.57–3.16)1.49 (1.18–1.89)
Any sick leave day due to cough within 12 months2.04 (1.58–2.64)3.19 (2.27–4.48)2.69 (2.11–3.42)
≥7 sick leave days due to cough within 12 months1.97 (1.24–3.12)3.87 (2.35–6.36)4.53 (3.15–6.52)
Any sick leave day due to any reason within 12 months1.48 (1.09–2.02)1.83 (1.14–2.94)1.80 (1.31–2.47)
≥7 sick leave days due to any reason within 12 months1.23 (0.97–1.56)2.05 (1.47–2.85)1.46 (1.16–1.83)

The odds ratios (aOR) were adjusted for age, sex, body mass index, sum symptom score, depressive symptoms, family income and cigarette pack-years. Logistic regression analysis with backward directed stepwise process. #: the reference group in the analysis of doctor's visits due to current cough.

Multivariate analysis about the risk of consequences associated with current cough of any duration (n=976) The subjects without current cough served as the control group (n=2720). The odds ratios (aOR) were adjusted for age, sex, body mass index, sum symptom score, depressive symptoms, family incomes and cigarette pack-years. Logistic regression analysis with backward directed stepwise process. Multivariate analysis about the risk of consequences associated with acute (n=373), subacute (n=174), and chronic current cough (n=421) when compared to subjects without current cough (n=2720) The odds ratios (aOR) were adjusted for age, sex, body mass index, sum symptom score, depressive symptoms, family income and cigarette pack-years. Logistic regression analysis with backward directed stepwise process. #: the reference group in the analysis of doctor's visits due to current cough.

Discussion

The present community-based study among working-age, employed subjects revealed that in spite of the negative impacts of cough on QoL, it is not associated with depressive symptoms. Furthermore, cough substantially increases doctor's visits and sick leave days. The impacts of acute cough were smaller than the longer cough subtypes while the impacts of subacute and chronic cough were comparable. In the present unselected cough population, the mean LCQ total score was 15.2 among subjects with cough of any duration and 14.6 among subjects with chronic cough. To our knowledge, there is only one previous community-based study utilising the LCQ reporting a mean total score of 17.3 among Danish subjects with chronic cough [11]. The rather low response rate may, at least partly, explain the worse QoL in the present population. Perhaps the subjects with severe cough were more willing to participate than subjects with mild cough. However, the LCQ total scores are usually still much lower in the populations from specialised cough clinics, with mean or median values of 12–13 [12-14]. These findings indicate that subjects attending such clinics probably represent highly selected, very disabled cough subjects and that findings among such populations may not be applicable to the cough population in community. The present study is, to our knowledge, the first to compare LCQ scores between acute, subacute and chronic cough. It revealed that acute cough has lesser impact on QoL than the longer cough subtypes whereas there were no differences between subacute and chronic cough. It has been shown before that cough-related QoL is strongly related to objectively counted cough frequency during ambulatory recording [12]. In the present study, self-assessed cough bout frequency was lower in acute cough than in the longer cough subtypes, which may partly explain the differences in QoL. Furthermore, LCQ was originally developed for chronic cough. There is an “acute” version of it in which each item relates to the patient's experience within a 24-h time frame, in contrast to the 2-weeks time frame in the traditional LCQ [15]. However, it was impossible to use two different QoL instruments in the present type of study. One previous community-based study [4] and two previous studies from specialised cough clinics [16, 17] suggested that chronic cough might be associated with depressive symptoms. On the contrary, in the present population, the prevalence of depressive symptoms was 5.0% among subjects without any cough and 4.8% among subjects with chronic cough. There are obvious reasons for this discrepancy. In the previous community-based study, a validated depressive symptom questionnaire was not used and the prevalence figures were not compared to those in healthy subjects [4]. The populations in the specialised cough clinics probably represent highly selected, very disabled cough subjects, as mentioned before. The population in the present study was unselected, a comparison with healthy subjects was performed and a well-validated depressive symptom questionnaire was utilised. In the present study, we could not diagnose clinical depression but measured the depressive symptoms. However, utilising the cut-off value ≥3, PHQ-2 has a sensitivity of 83% and specificity of 92% for clinically confirmed major depression [10]. Of note, in a previous Finnish community-based study with >6000 mental health interviews the prevalence of major depression was 4.9%, i.e. almost identical to the prevalence of depressive symptoms in the present population, supporting the reliability of PHQ-2 [18]. As expected, current cough was often associated with doctor's visits [4, 19, 20]. In previous community-based surveys, 91–93% of subjects with chronic cough had visited a doctor at least once [4, 20]. In the present study, 41.6% of the subjects with chronic cough had visited a doctor at least once due to current cough. Though this is a high percentage, it is considerably lower than that in the previous studies. Very probably, the previous studies suffer from a significant reporting bias associated with the nonsystematic recruitment of the populations [4, 20]. Chronic cough was associated with larger number of doctor's visits due to current cough than both subacute and acute cough. However, when the doctor's visits were analysed within a period of 12 months, the difference between subacute and chronic cough vanished. There may be two explanations for this. First, in the majority of chronic cough subjects, the cough had lasted >1 year. In these subjects, the number of doctor's visits due to cough per one year can be smaller than that due to current cough. Second, there may be several episodes of subacute cough per 1 year. We have shown previously that subacute cough is associated with chronic rhinosinusitis and asthma [21]. These disorders are often episodic, activated by seasonal allergens or upper respiratory tract infections and these episodes can take place several times a year. Thus, within certain time limits, like 1 year, recurrent subacute cough may cause as many doctor's visits as chronic cough. Acute cough seems to prompt doctor's visits less often than the two longer cough subtypes. Cough also increased the probability of doctor's visits due to any reason. In the model containing several confounders that could explain frequent doctor's visits, current cough independently increased the probability of such a visit by 36% within 1 year and the probability of frequent (≥3) visits by 49%. These figures can be regarded as highly significant with respect to health resource utilisation. Again, this impact was mainly associated with subacute and chronic cough. Sick leave days due to cough are difficult to investigate. In Finland, a symptom is not a legitimate ground for a sick leave day. Therefore, diagnoses like “bronchitis” are used in health certificates. In the present study, the subjects were asked to subjectively estimate how many sick leave days took place due to cough. Unfortunately, the questionnaire did not include a question about sick leave days due to current cough. However, the sick leave days within the last 12 months were sought, both due to cough and due to any reasons. Strikingly, current cough independently increased the risk of a sick leave day due to any reason by 60%, corroborating the large socioeconomic burden of cough. The model showing this included several confounders that could be associated with sick leave days, like age, sex, body mass index, sum symptom score, depressive symptoms and family incomes. The sum symptom score is an important confounder which probably represents somatisation. It describes the interindividual variation in how subjects recognise and report symptoms [22]. Again, subacute and chronic cough increased the sick leave days more than acute cough. It seems that acute cough induces fewer doctor's visits and sick leave days than prolonged cough. One obvious reason for this is the lower cough frequency and less impaired QoL in acute cough. In addition, people probably are often aware of the self-limiting nature of acute cough or acute bronchitis and may regard a doctor's visit unnecessary. Furthermore, in many workplaces in Finland, an employee is entitled to ≤5 days absenteeism even without a health certificate by a doctor. The latter facts may partly explain the relatively low number of doctor's visits in acute cough but not the relatively low number of sick leave days. The three most commonly recognised chronic cough background disorders (chronic rhinosinusitis, asthma and gastro-oesophageal reflux disease) [23, 24] were included in the analyses as possible confounders. However, they were associated neither with the doctor's visits nor the sick leave days. These findings suggest that it is the cough itself, not the background disease, that mainly defines the impacts. This supports the rationale of cough hypersensitivity syndrome, a conception that long-standing hypersensitivity of cough reflex arch is an independent disorder [25, 26]. There are several shortcomings in the present study. All of the information used in the present analyses were based on self-reports in a cross-sectional design with the associated problems of biased reporting and lack of possibility to separate associations from causality. The participation rate was relatively low. It is possible that subjects with current cough were more interested to participate than those without. However, the responders and nonresponders did not differ with respect to age or sex distribution. The low participation rate probably affects more the cough prevalence values than the impact analyses. The generalisability of the study may be limited since the subjects were public service employees. Low social classes and old persons are therefore underrepresented. However, this population is very suitable to analyse doctor's visits and sick leave days because as public service employees, they are provided with a free health service and an equal, easy access to doctors. The impacts would probably have been greater if certain bout frequency criteria (e.g. daily cough) were utilised. However, we wanted an unselected cough population. In conclusion, the present study shows that cough affects QoL and causes a substantial socioeconomic burden by increasing the probability of doctor's visits and sick leave days. However, it is not associated with depressive symptoms, not even chronic cough. The impacts of subacute and chronic cough are comparable, and larger than those of acute cough. Given the fact that the risk factors for subacute and chronic cough are very similar [21], it may be unnecessary to divide prolonged (>3 weeks) cough to two subclasses. Focusing on the characteristics of a single cough episode may sometimes be misleading and more attention should be paid on the recurrence of cough episodes, even if they are short. Please note: supplementary material is not edited by the Editorial Office, and is uploaded as it has been supplied by the author. Questionnaire (Finnish version) 00113-2018_supp
  23 in total

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Authors:  Yunus Çolak; Børge G Nordestgaard; Lars C Laursen; Shoaib Afzal; Peter Lange; Morten Dahl
Journal:  Chest       Date:  2017-06-15       Impact factor: 9.410

Review 2.  Update on the epidemiology of gastro-oesophageal reflux disease: a systematic review.

Authors:  Hashem B El-Serag; Stephen Sweet; Christopher C Winchester; John Dent
Journal:  Gut       Date:  2013-07-13       Impact factor: 23.059

3.  Chronic 'cough hypersensitivity syndrome': a more precise label for chronic cough.

Authors:  K F Chung
Journal:  Pulm Pharmacol Ther       Date:  2011-02-01       Impact factor: 3.410

4.  Chronic cough: how do cough reflex sensitivity and subjective assessments correlate with objective cough counts during ambulatory monitoring?

Authors:  Samantha Clare Decalmer; Deborah Webster; Angela Alice Kelsall; Kevin McGuinness; Ashley Arthur Woodcock; Jaclyn Ann Smith
Journal:  Thorax       Date:  2006-11-13       Impact factor: 9.139

5.  Impact of chronic cough on quality of life.

Authors:  C L French; R S Irwin; F J Curley; C J Krikorian
Journal:  Arch Intern Med       Date:  1998 Aug 10-24

6.  How to quantify coughing: correlations with quality of life in chronic cough.

Authors:  A Kelsall; S Decalmer; D Webster; N Brown; K McGuinness; A Woodcock; J Smith
Journal:  Eur Respir J       Date:  2008-02-20       Impact factor: 16.671

7.  Frequency of persistent cough and trends in seeking medical care and treatment-results of an internet survey.

Authors:  Masaki Fujimura
Journal:  Allergol Int       Date:  2012-08-25       Impact factor: 5.836

8.  The assessment of quality of life in acute cough with the Leicester Cough Questionnaire (LCQ-acute).

Authors:  Nadia Yousaf; Kai K Lee; Bhagyashree Jayaraman; Ian D Pavord; Surinder S Birring
Journal:  Cough       Date:  2011-07-18

Review 9.  Operational definitions of asthma in recent epidemiological studies are inconsistent.

Authors:  Ana Sá-Sousa; Tiago Jacinto; Luís Filipe Azevedo; Mário Morais-Almeida; Carlos Robalo-Cordeiro; António Bugalho-Almeida; Jean Bousquet; João Almeida Fonseca
Journal:  Clin Transl Allergy       Date:  2014-08-04       Impact factor: 5.871

10.  Defining the risk factors for acute, subacute and chronic cough: a cross-sectional study in a Finnish adult employee population.

Authors:  Anne M Lätti; Juha Pekkanen; Heikki O Koskela
Journal:  BMJ Open       Date:  2018-07-16       Impact factor: 2.692

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Authors:  Imran Satia; Alexandra J Mayhew; Nazmul Sohel; Om Kurmi; Kieran J Killian; Paul M O'Byrne; Parminder Raina
Journal:  ERJ Open Res       Date:  2022-05-30

2.  Prevalence and Characteristics of Chronic Cough in Adults Identified by Administrative Data.

Authors:  Robert S Zeiger; Fagen Xie; Michael Schatz; Benjamin D Hong; Jessica P Weaver; Vishal Bali; Jonathan Schelfhout; Wansu Chen
Journal:  Perm J       Date:  2020-12

3.  Risk factors for repetitive doctor's consultations due to cough: a cross-sectional study in a Finnish employed population.

Authors:  Heikki O Koskela; Anne M Lätti; Juha Pekkanen
Journal:  BMJ Open       Date:  2019-06-11       Impact factor: 2.692

4.  Cough in the Elderly During the COVID-19 Pandemic.

Authors:  Johanna Tuulikki Kaulamo; Anne Marika Lätti; Heikki Olavi Koskela
Journal:  Lung       Date:  2022-03-17       Impact factor: 3.777

5.  Development of a natural language processing algorithm to detect chronic cough in electronic health records.

Authors:  Vishal Bali; Jessica Weaver; Vladimir Turzhitsky; Jonathan Schelfhout; Misti L Paudel; Erin Hulbert; Jesse Peterson-Brandt; Anne-Marie Guerra Currie; Dylan Bakka
Journal:  BMC Pulm Med       Date:  2022-06-28       Impact factor: 3.320

6.  Cluster analysis in 975 patients with current cough identifies a phenotype with several cough triggers, many background disorders, and low quality of life.

Authors:  Heikki O Koskela; Tuomas A Selander; Anne M Lätti
Journal:  Respir Res       Date:  2020-08-20
  6 in total

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