Original article

Staphylococcus aureus nasal colonization among Vietnamese adults: prevalence, risk factors and antibiotic susceptibility profile

Nguyen K. Phana, Pham TT. Hiena, Nguyen T. Thuca, Nguyen TT. Hoaia,*
Author Information & Copyright
aSchool of Biotechnology, International University, Vietnam National University of HCMC
*Address correspondence to Nguyen Thi Thu Hoai, ntthoai@hcmiu.edu.vn, School of Biotechnology, International University, Vietnam National University of HCMC, Block 6, Linh Trung ward, Thu Duc District, Ho Chi Minh City, Vietnam

© Copyright 2018 MedPharmRes. This is an Open-Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Received: Dec 05, 2017; Accepted: Mar 31, 2018; Revised: Jul 06, 2018

Published Online: Jun 30, 2018

Abstract

Staphylococcus aureus (S. aureus) has long been recognized as an important human pathogen causing many severe diseases. It is also a part of human normal fl with its ecological niche in the human anterior nares. This study focused on screening S. aureus nasal carriage in community and its relationship to human physiological and pathological factors which have not been studied in Vietnam previously. Two hundred and fi volunteers in Ho Chi Minh City from 18 to 35 and over 59 years old both male and female participated in the study. Result showed that the prevalence of S. aureus nasal carriage in southern Vietnamese community was relatively low, only 11.2% (23/205), much lower than that in other international reports on human S. aureus. In addition, nasal carriage of the older age group (> 59 years old, 13.7%) was higher than that of younger age (18-35 years old, 10.4%). Other potential risk factors such as gender, career, height, weight, history of antibiotic usage, daily nasal wash, use of nasal medication sprays, acne problems, smoking and nasal problems showed no signifi impact on S. aureus carriage. The obtained S. aureus nasal isolates were all sensitive to vancomycin. Lincomycin and tetracycline had low resistance rate with 4.3 % and 17.4 %, respectively. However, the isolates showed particularly high rate of multidrug resistance (54.2%) In summary, our data provided researchers an overview on S. aureus nasal carriage and antibiotic susceptibility profi of the community-isolated S. aureus in Vietnam. This would serve as valuable information on assessing risk of community-acquired S. aureus infections.

Keywords: Antibiotic resistance; nasal colonization; risk factors; Staphylococcus aureus; Vietnamese

1. INTRODUCTION

Staphylococcus aureus (S. aureus) is widespread colonizer of human body surface of which the anterior nostrils is the most frequent carriage site [1]. Studies have shown that Staphylococcal nasal carriage is a potential risk of community-acquired (CA) Staphylococcal infections which are a danger of public health [2-5]. In addition, the global increasing resistance of S. aureus to various antibiotics complicates treatment for its infections [6], among those methicillin-resistant S. aureus (MRSA) infections are always of most serious and difficult- to- treat ones [7-9]. In this study, we aimed to figure out the prevalence of S. aureus nasal carriage in southern Vietnamese community, associating the potential human risk factors with S. aureus nasal carriage and revealing antibiotic susceptibility of the nasal isolates which could later affect the outcome of CA-Staphylococcal infections treatment.

2. MATERIALS AND METHOD

2.1. Study population

From September to December 2013, volunteers from different places in Ho Chi Minh City, Vietnam were recruited for the study following 2 groups of age: Group 1, 18 – 35 years old and Group 2, over 59 years old, with the proportion of three (Group 1) to one (Group 2) following the age ratio of Vietnamese population (General Statistics Office of Vietnam, 2011). Persons who were having fever at the time of sampling or hospitalized in the previous month were excluded.

2.2. Sample and data collection

Sample was collected from nasal cavity by rotating a sterile swab in the nares of each participant. Amies transport medium with charcoal (TITAN MEDIA, India) was used to carry samples to the laboratory for culture and identification. At the same time, the information on age, gender, career, height, weight, history of antibiotic usage in the past 2 months, daily nasal wash with water, use of nasal medication sprays, acne problems, smoking, nasal problems (such as asthma or sinusitis) and history of S. aureus infection of every participant was also collected.

2.3. Culture and identification of S. aureus

Samples were cultured on mannitol salt agar (MSA; HiMedia, India). All colonies surrounded by yellow zones on MSA after 24 hours of incubation at 37°C were selected for identification using Staphylase test kit (Oxoid, UK).

2.4. In-vitro antibiotic susceptibility testing

Sensitivity test was performed followed the Kirby-Bauer disc diffusion method. Inoculum used for the test was prepared from 1-3 colonies picked from culture plate and suspended in 5mL sterilized Mueller Hinton Broth (MHB; HiMedia, India) and adjusted for proper cell density using optical density at 600 nm. Antibiotic discs (Nam Khoa Biotek, Vietnam) used in this test included: ampicillin (10μg), cephalexin (30μg), meropenem (10μg), kanamycin (30μg), erythromycin (15 μg), clindamycin (2μg), tetracycline (10μg), vancomycin (30μg), ciprofloxacin (5μg) and linezolid (30μg). Diameter of inhibition zones was recorded in millimeter after 24 hours of incubation at 37oC. The antibiotic susceptibility was interpreted via CLSI guidelines [10].

2.4. Data analysis

Statistical Package for the Social Sciences (SSPS) for Windows (Version 16.0) software was used to statistically analyze the association between risk factors and S. aureus nasal carriage. The results were presented with 95% confidence interval (CI) and corresponding p value. The level of significance was set at 0.05 using the two-tailed method.

3. RESULTS AND DISCUSSION

3.1. The prevalence of S. aureus nasal carriage

In total, there were 205 volunteers joined this study. These comprised 96 males (46.8%) and 109 females (53.2%) with ages ranging from 18 to 94 years of which 154 were in Group 1 (18-35 years old) and 51 were in Group 2 (over 59 years old).

Percentage of nasal carriers in Group 1 is 10.4% (16/154) while Group 2 is 13.7% (7/51). Overall, nasal carriage of S. aureus in this study population was 11.2% (23/205) which is lower than a study in urban and rural northern Vietnam (15.8%, 161/1016 for nasal carriage and 29.7% for nasopharyngeal carriage, 302/1016) which was carried also with young people (35% of the cohort < 20 years old) who generally have markedly higher rate of nasal carriage [11]. This percentage is also slightly lower than a recent study carried out on 838 patients at an ICU in southern Vietnam (13.1%) [12]. In addition, in our study carriage prevalence was similar between males and females (11.5% and 11.0%) which were in agreement with previous study [11]. It seems that even though this study has relatively small sample size, the result still reflected quite well the status of big population. The rate of S. aureus nasal carriage in relationship with some risk factors is shown in Appendix A.

There was not any significant effect of the risk factors to the rate of S. aureus carriage in both groups based on data analysis (data not showed) even though differences in the percentages of S. aureus carriage were observed in each group of age (Appendix A).

Potential risk factors for nasal S. aureus carriage have been studied but none of them were significant. It is probably due to the fact that our sample size was too small for each factor to provide a significant value. For example, with the factor of the history of using antibiotic during last 2 months, it was observed that percentage of carriers in both groups was lower for antibiotic using people (7.7 % compared to 12.1 %) but still not statistically significant (analysis not shown). It has been shown that smokers were less likely to become S. aureus carrier than non-smokers [13] but in our study a similar pattern could only be found in group 1 but not in group 2 due to limited sample. Other factors such as cleaning nose with water or nasal spray and health conditions such as obesity or sinusitis and asthma problems which have been shown to have relationship with S. aureus colonization did not achieve significant level in our study [14].

3.2. Antibiotic susceptibility profile of S. aureus nasal isolates

In this study, resistant rate of S. aureus isolates were found to be 95.7% for ampicillin, 34.8% for cephalexin, erythromycin, kanamycin, and clindamycin, 47.8% for meropenem, 17.4% for tetracycline, 21.7% for ciprofloxacin and 4.3% for linezolid. Especially, vancomycin continued to be the treatment of choice for treating most MRSA infections with none of isolates (0%) resistant to this agent. The data was summarized in Figure 1. The prevalence of multi-drug resistance (resistant to at least 3 tested antibiotics) of S. aureus isolates was shown in Figure 2. There were thirteen isolates with resistance to at least 3 antibiotics of which two isolates were identified to be resistant to 8 antibiotics. Only one isolate was susceptible to all antimicrobial agents.

mpr-2-2-21-g1
Figure 1. Antibiotic resistance rates of Staphylococcus aureus nasal isolates. Am, ampicillin; Ci, ciprofloxacin; cL, clindamycin; CN, cephalexin; Er, erythromycin; Kn, kanamycin; Li, linezolid; Me, meropenem; Te, tetracycline; Va: vancomycin.
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mpr-2-2-21-g2
Figure 2. Prevalence of multi-drug resistance among S. aureus nasal isolates. Number of antibiotics to which resistance occurred: 0, 1, 2, 3, 4, 5, 6, 7, 8. MDR (Resistant to >= 3 different antibiotics) rate is found to be 69.6 %.
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With the high resistance rate, ampicillin, meropenem and even cephalexin, clindamycin, erythromycin and kanamycin were not suggested for S. aureus infections treatment. It is different to recent study showing that first generation cephalosporins (cefazolin, cephalothin and cephalexin), clindamycin and erythromycin have important therapeutic roles in less serious S. aureus infections such as skin and soft tissue infections or in patients with penicillin hypersensitivity (urticaria, angioedema, bronchospasm or anaphylaxis) [15]. Besides, in our study, ciprofloxacin and tetracycline are two antibiotics to which S. aureus has low resistant rate (21.7% and 17.4%, respectively). Our results also suggested that linezolid and vancomycin remain important in the treatment of S. aureus infections because of high susceptible rate– 95.7% and 100%, respectively. It is in agreement with previous results showing that vancomycin has been considered the treatment of choice for infection due to S. aureus [16].

Multidrug resistance was frequently observed in this study with thirteen (54.2%) of all the isolates resistant to at least three antibiotics. Only one isolate (4.2%) was fully susceptible to all the tested antimicrobial drugs. The multidrug-resistant S. aureus rate is comparable to what was reported in Nigeria (52.5%) [17] and lower than in other countries – 75% in Bangladesh [18] and over 94% in India [19]. However, compared to developed country, multidrug resistant S. aureus rate in this study is markedly higher – 32% in The USA and 24.6% in Europe [20-21].

4. CONCLUSION

In our study, some risk factors influenced S. aureus nasal carriage rate when analyzing them in different age groups but not in the whole population. Results also indicated that rate of S. aureus nasal colonization can be reduced via improving personal hygiene, such as performing hand washing frequently and effectively.

The study showed low rate of S. aureus nasal carriage among healthy Vietnamese but a high prevalence of multi-drug resistance in nasal S. aureus isolates. Resistance to beta-lactams and commonly prescribed antibiotics was dominant. Data suggested that it is important to control multi-drug resistance not only in healthcare systems but also in community to prevent the infections potentially caused by these multi-drug resistant isolates.

Authors’ contributions

PKN participated in data collection and identification of all sample. PTTH performed antibiotic susceptibility testing. NNT performed data interpretation and drafting of the manuscript. NTTH participated in all activities.

Competing interests

The authors declare that they have no competing interests.

Availability of data and materials

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

REFERENCES

1.

Tong S.Y.C., Davis J.S., Eichenberger E., Holland T.L., Fowler V.G. Staphylococcus aureus Infections: Epidemiology, Pathophysiology, Clinical Manifestations, and Management. Clin Microbiol Rev. 2015; 28(3):603-61

2.

Toshkova K., Annemüller C., Akineden Ö., Lämmler C. The significance of nasal carriage of Staphylococcus aureus as risk factor for human skin infections. FEMS Microbiol Lett. 2001; 202:17-24

3.

von Eiff C., Becker K., Machka K., Stammer H., Peters G. Nasal carriage as a source of Staphylococcus aureus bacteremia. Study Group. N Engl J Med. 2001; 344:11-6

4.

Kluytmans J. A., Wertheim H. F. Nasal carriage of Staphylococcus aureus and prevention of nosocomial infections. Infection. 2005; 33:3-8

5.

van Belkum A., Melles D. C., Nouwen J., van Leeuwen W. B., van Wamel W., et al. Co-evolutionary aspects of human colonisation and infection by Staphylococcus aureus. Infect Genet Evol. 2009; 9:32-47

6.

Gupta V., Pachori R., Goyal R. K. Antibiotic susceptibility pattern of Staphylococcus aureus in tertiary care hospital, SRMSIMS, Bareilly, U.P.. Int J Commun Med Public Health. 2017; 4:2803-9

7.

Tonga S. Y. C., Davisa J. S., Eichenbergerb E., Hollandb T. L., Fowler V. G.. Staphylococcus aureus Infections: Epidemiology, Pathophysiology, Clinical Manifestations, and Management. Clin Microbiol Rev. 2015; 28(3):603-61

8.

Otto M. Community-associated MRSA: What makes them special?. Int J Med Microbiol. 2013; 303:324-30

9.

Deurenberg R. H., Stobberingh E. E. The evolution of Staphylococcus aureus. Infect Genet Evol. 2008; 8:747-63

10.

Wayne P. A. Performance standard for antimicrobial susceptibility testing, 27th ed. Clinical and Laboratory Standards Institute. 2017; 27:M100.

11.

Nguyen V. K., Zhang T., Vu N. B. T., Dao T. T., Tran T. K., et al. Staphylococcus aureus nasopharyngeal carriage in rural and urban northern Vietnam. Trans. R. Soc. Trop. Med. Hyg. 2014; 108:783-90

12.

Duong B. T., Campbell J., Nguyen V. M. H., Truong T. T. T., Ha T. H. D., et al. A one-year prospective study of colonization with antimicrobialresistant organisms on admission to a Vietnamese intensive care unit. PLOS one. 2017; 12e0184847

13.

Askarian M., Zeinalzadeh A., Japoni A., Alborzi A., Memish Z. A. Prevalence of nasal carriage of methicillin-resistant Staphylococcus aureus and its antibiotic susceptibility pattern in healthcare workers at Namazi Hospital, Shiraz, Iran. Int J Infect Dis. 2009; 13e241-7

14.

Bachert C., van Steen K., Zhang N., Holtappels G., Cattaert T., Maus B., et al. Specific IgE against Staphylococcus aureus enterotoxins: An independent risk factor for asthma. J Allergy Clin Immunol. 2012; 130:376-81 e8

15.

Rayner C., Munckhof W. J. Antibiotics currently used in the treatment of infections caused by Staphylococcus aureus. Intern Med J. 2006; 35:S3-16

16.

Ramirez P., Fernández-Barat L., Torres A. New therapy options for MRSA with respiratory infection/pneumonia. Curr Opin Infect Dis. 2012; 25:159-65

17.

Onanuga A., Temedie T. C. Nasal carriage of multi-drug resistant Staphylococcus aureus in healthy inhabitants of Amassoma in Niger delta region of Nigeria. Afr Health Sci. 2011; 11:176-81.

18.

Chowdhury A. N., Hossain N., Rahman M., Ashrafuzzaman . Prevalence of multidrug resistance in human pathogenic Staphylococcus aureus and their sensitivity to Allamanda catharticaL. leaf extract. Int Curr Pharma J. 2013; 2:185-8

19.

Pandya N., Chaudhary A., Mehta S., Parmar R. Characterization of Methicillin Resistant Staphylococcus aureus from various clinical samples at tertiary care hospital of rural Gujarat. J Res Med Dent Sci. 2014; 2:49-53

20.

Tillotson G. S., Draghi D. C., Sahm D. F., Tomfohrde K. M., del Fabro T., Critchley I. A. Susceptibility of Staphlyococcus aureus Isolated from Skin and Wound Infections in the United States 2005-2007: Laboratory Based Surveillance Study. J Antimicrob Chemother. 2008; 62:109-15

21.

Grisold A. J., Leitner E., Mühlbauer G., Marth E., Kessler H. H. Detection of Methicillin-resistant Staphylococcus aureus and simultaneous confirmation by automated Nucleic acid extraction and real time PCR. J Clin Microbiol. 2002; 79:143-6

Appendices

Appendix A: Factors associated with Staphylococcus aureus colonization
Factors Group Total participants (n) Carriers of S. aureus (n’) Carriers of S. aureus (%)
Gender 1 • Male 74 7 9.5
• Female 80 9 11.2
2 • Male 22 4 18.2
• Female 29 3 10.3
Both • Male 96 11 11.5
• Female 109 12 11.0
Taking antibiotic during last 2 months 1 • Yes 31 3 9.7
• No 123 13 10.6
2 • Yes 8 0 0
• No 43 7 16.3
Both • Yes 39 3 7.7
• No 166 20 12.1
Smoking 1 • Yes 13 0 0
• No 141 16 11.4
2 • Yes 12 3 25.0
• No 39 4 10.3
Both • Yes 25 3 12.0
• No 180 20 11.1
Using nasal spray 1 • Yes 9 1 11.1
• No 145 15 10.3
2 • Yes 4 0 0
• No 47 7 14.9
Both • Yes 13 1 7.7
• No 192 22 11.5
Nasal wash (by water) 1 • Yes 37 5 13.5
• No 117 11 9.4
2 • Yes 10 0 0
• No 41 7 17.1
Both • Yes 47 5 10.6
• No 158 18 11.4
Acne 1 • Yes 24 2 8.3
• No 130 14 10.8
2 • Yes 0 0 n/a
• No 51 7 13.7
Both • Yes 24 2 8.3
• No 181 21 11.6
Nose conditions (Sinusitis, asthma) (†) 1 • Yes 11 4 36.4
• No 143 12 8.4
2 • Yes 8 0 0
• No 43 7 16.3
Both • Yes 19 4 21.1
• No 186 19 10.2
Body Mass Index (BMI, kg/m2) (‡) 1 • Underweight
  ○ (< 18.5 kg/m2)
22 2 9.1
• Normal range
  ○ (18.5 – 23.0 kg/m2)
98 11 11.2
• Overweight
  ○ (≥ 23.0 kg/m2)
34 3 8.8
2 • Underweight
  ○ (< 18.5 kg/m2)
8 0 0
• Normal range
  ○ (18.5 – 23.0 kg/m2)
28 4 14.3
• Overweight
  ○ (≥ 23.0 kg/m2)
15 3 20.0
Both • Underweight
  ○ (< 18.5 kg/m2)
30 2 6.7
• Normal range
  ○ (18.5 – 23.0 kg/m2)
126 15 11.9
• Overweight
  ○ (≥ 23.0 kg/m2)
49 6 12.2
Total 205 23 11.2

(†) There was only one case suffering asthma.

(‡) BMI is calculated via weight (in kilograms) over height squared (in centimeters), applied for Asian people (WHO, 2004).

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Appendix B: Data analysis using Chi-2 test Case Processing Summary
Cases
Valid Missing Total
N Percent N Percent N Percent
Factors * Group 51 100.0% 0 0.0% 51 100.0%
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Factors * Group Crosstabulation
Group Total
Group 1 Group 2 Both
Factors Gender Count Expected Count 2a 2.0 2a 2.0 2a 2.0 6 6.0
Taking a.b Count 2a 2a 2a 6
Expected Count 2.0 2.0 2.0 6.0
smoking Count 2a 2a 2a 6
Expected Count 2.0 2.0 2.0 6.0
Using nasal Count 2a 2a 2a 6
Expected Count 2.0 2.0 2.0 6.0
Nasal wash Count 2a 2a 2a 6
Expected Count 2.0 2.0 2.0 6.0
Acne Count 2a 2a 2a 6
Expected Count 2.0 2.0 2.0 6.0
nose Count 2a 2a 2a 6
Expected Count 2.0 2.0 2.0 6.0
BMI Count 3a 3a 3a 9
Expected Count 3.0 3.0 3.0 9.0
Total Expected Count Count 17 17 17 51
17.0 17.0 17.0 51.0

Each subscript letter denotes a subset of Group categories whose column proportions do not differ significantly from each other at the .05 level.

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Chi-Square Tests
Value df Asymp. Sig. (2-sided)
Pearson Chi-Square .000a 14 1.000
Likelihood Ratio .000 14 1.000
Linear-by-Linear Association .000 1 1.000
N of Valid Cases 51

a. 24 cells (100.0%) have expected count less than 5. The minimum expected count is 2.00.

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Risk Estimate
Value
Odds Ratio for Factors (Gender / Taking a.b) a

a. Risk Estimate statistics cannot be computed. They are only computed for a 2*2 table without empty cells.

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Chi-square test for Factors x Condition Case Processing Summary
Cases
Valid Missing Total
N Percent N Percent N Percent
Factors * Condition 51 100.0% 0 0.0% 51 100.0%
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Factors * Condition Crosstabulation
Condition Total
yes no male female Low Mid High
Factors Gender Count 0a 0a 3b 3b 0a 0a 0a 6
Expected Count 2.1 2.1 .4 .4 .4 .4 .4 6.0
Taking a.b Count 3a 3a 0a 0a 0a 0a 0a 6
Expected Count 2.1 2.1 .4 .4 .4 .4 .4 6.0
smoking Count 3a 3a 0a 0a 0a 0a 0a 6
Expected Count 2.1 2.1 .4 .4 .4 .4 .4 6.0
Using nasal Count 3a 3a 0a 0a 0a 0a 0a 6
Expected Count 2.1 2.1 .4 .4 .4 .4 .4 6.0
Nasal wash Count 3a 3a 0a 0a 0a 0a 0a 6
Expected Count 2.1 2.1 .4 .4 .4 .4 .4 6.0
Acne Count 3a 3a 0a 0a 0a 0a 0a 6
Expected Count 2.1 2.1 .4 .4 .4 .4 .4 6.0
nose Count 3a 3a 0a 0a 0a 0a 0a 6
Expected Count 2.1 2.1 .4 .4 .4 .4 .4 6.0
BMI Count 0a 0a 0a 0a 3b 3b 3b 9
Expected Count 3.2 3.2 .5 .5 .5 .5 .5 9.0
Total Expected Count Count 18 18 3 3 3 3 3 51
18.0 18.0 3.0 3.0 3.0 3.0 3.0 51.0

Each subscript letter denotes a subset of Condition categories whose column proportions do not differ significantly from each other at the .05 level.

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Chi-Square Tests
Value df Asymp. Sig. (2-sided)
Pearson Chi-Square 102.000a 42 .000
Likelihood Ratio 81.982 42 .000
Linear-by-Linear Association 6.392 1 .011
N of Valid Cases 51

a. 56 cells (100.0%) have expected count less than 5. The minimum expected count is .35.

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Risk Estimate
Value
Odds Ratio for Factors (Gender / Taking a.b) a

a. Risk Estimate statistics cannot be computed. They are only computed for a 2*2 table without empty cells.

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Appendix C: Data analysis using ANOVA Gender Gender Descriptives
Carrier
N Mean Std. Deviation Std. Error 95% Confidence Interval for Mean Minimum Maximum
Lower Bound Upper Bound
Male 3 13.0333 4.56795 2.63731 1.6859 24.3807 9.46 18.18
Female 3 10.8667 .47163 .27229 9.6951 12.0383 10.34 11.25
Total 6 11.9500 3.13748 1.28087 8.6574 15.2426 9.46 18.18
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ANOVA
Carrier
Sum of Squares df Mean Square F Sig.
Between Groups 7.042 1 7.042 .668 .460
Within Groups 42.177 4 10.544
Total 49.219 5
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Acne Descriptives
Carrier
N Mean Std. Deviation Std. Error 95% Confidence Interval for Mean Minimum Maximum
Lower Bound Upper Bound
1.00 2 9.5500 1.72534 1.22000 -5.9516 25.0516 8.33 10.77
2.00 2 6.8650 9.70858 6.86500 -80.3631 94.0931 .00 13.73
3.00 2 9.9650 2.31224 1.63500 -10.8096 30.7396 8.33 11.60
Total 6 8.7933 4.77299 1.94857 3.7844 13.8023 .00 13.73
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ANOVA
Carrier
Sum of Squares df Mean Square F Sig.
Between Groups 11.328 2 5.664 .166 .855
Within Groups 102.580 3 34.193
Total 113.907 5
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BMI Descriptives
Carrier
N Mean Std. Deviation Std. Error 95% Confidence Interval for Mean Minimum Maximum
Lower Bound Upper Bound
1.00 3 9.7100 1.31465 .75901 6.4442 12.9758 8.82 11.22
2.00 3 11.4300 10.30217 5.94796 -14.1620 37.0220 .00 20.00
3.00 3 10.2700 3.12232 1.80267 2.5137 18.0263 6.67 12.24
Total 9 10.4700 5.47542 1.82514 6.2612 14.6788 .00 20.00
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ANOVA
Carrier
Sum of Squares df Mean Square F Sig.
Between Groups 4.618 2 2.309 .059 .943
Within Groups 235.224 6 39.204
Total 239.841 8
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Nasal wash Descriptives
Carrier
N Mean Std. Deviation Std. Error 95% Confidence Interval for Mean Minimum Maximum
Lower Bound Upper Bound
1.00 2 11.4550 2.90621 2.05500 -14.6563 37.5663 9.40 13.51
2.00 2 8.5350 12.07031 8.53500 -99.9125 116.9825 .00 17.07
3.00 2 11.0150 .53033 .37500 6.2502 15.7798 10.64 11.39
Total 6 10.3350 5.73295 2.34047 4.3186 16.3514 .00 17.07
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ANOVA
Carrier
Sum of Squares df Mean Square F Sig.
Between Groups 9.914 2 4.957 .096 .911
Within Groups 154.420 3 51.473
Total 164.333 5
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Nose condition Descriptives
Carrier
N Mean Std. Deviation Std. Error 95% Confidence Interval for Mean Minimum Maximum
Lower Bound Upper Bound
1.00 2 22.3750 19.77778 13.98500 -155.3213 200.0713 8.39 36.36
2.00 2 8.1400 11.51170 8.14000 -95.2885 111.5685 .00 16.28
3.00 2 15.6350 7.65797 5.41500 -53.1691 84.4391 10.22 21.05
Total 6 15.3833 12.53116 5.11582 2.2327 28.5340 .00 36.36
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ANOVA
Carrier
Sum of Squares df Mean Square F Sig.
Between Groups 202.825 2 101.413 .522 .639
Within Groups 582.324 3 194.108
Total 785.149 5
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Smorking Descriptives
Carrier
N Mean Std. Deviation Std. Error 95% Confidence Interval for Mean Minimum Maximum
Lower Bound Upper Bound
1.00 2 5.6750 8.02566 5.67500 -66.4327 77.7827 .00 11.35
2.00 2 17.6300 10.42275 7.37000 -76.0147 111.2747 10.26 25.00
3.00 2 11.5550 .62933 .44500 5.9007 17.2093 11.11 12.00
Total 6 11.6200 7.95457 3.24744 3.2722 19.9678 .00 25.00
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ANOVA
Carrier
Sum of Squares df Mean Square F Sig.
Between Groups 142.935 2 71.467 1.236 .406
Within Groups 173.441 3 57.814
Total 316.376 5
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Taking a.b Descriptives
Carrier
N Mean Std. Deviation Std. Error 95% Confidence Interval for Mean Minimum Maximum
Lower Bound Upper Bound
1.00 2 10.1250 .62933 .44500 4.4707 15.7793 9.68 10.57
2.00 2 8.1400 11.51170 8.14000 -95.2885 111.5685 .00 16.28
3.00 2 9.8700 3.08299 2.18000 -17.8295 37.5695 7.69 12.05
Total 6 9.3783 5.42375 2.21424 3.6865 15.0702 .00 16.28
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ANOVA
Carrier
Sum of Squa res df Mean Square F Sig.
Between Groups 4.665 2 2.333 .049 .953
Within Groups 142.420 3 47.473
Total 147.085 5
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Using spray Descriptives
Carrier
N Mean Std. Deviation Std. Error 95% Confidence Interval for Mean Minimum Maximum
Lower Bound Upper Bound
1.00 2 10.6750 .61518 .43500 5.1478 16.2022 10.24 11.11
2.00 2 7.4450 10.52882 7.44500 -87.1527 102.0427 .00 14.89
3.00 2 9.5750 2.66579 1.88500 -14.3762 33.5262 7.69 11.46
Total 6 9.2317 5.08188 2.07467 3.8986 14.5648 .00 14.89
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ANOVA
Carrier
Sum of Squares df Mean Square F Sig.
Between Groups 10.787 2 5.393 .137 .877
Within Groups 118.341 3 39.447
Total 129.127 5
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