Behre Dari Mosa1*, Jemal Bilal2, Getu Tilahun2, Ezedin Molla2, Zewde Oltaye2
1Worabe Comprehensive Specialized Hospital, Worabe Silte Zone, Ethiopia
2Hawassa University College of Medicine and Health Science School of Nursing, Ethiopia
*Corresponding Author: Behre Dari Mosa, Worabe Comprehensive Specialized Hospital, Worabe Silte Zone, Ethiopia; Email: [email protected]
Published On: 13-08-2022
Copyright© 2022 by Mosa BD, et al. All rights reserved. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.
Abstract
Introduction: Acute Appendicitis (AA) refers to severe inflammation of the vermiform appendix, which is because of obstruction of the lumen of the appendix due to the inefficient emptying into the colon. In most parts of the world, including Ethiopia, acute appendicitis is one of the major causes for which many patients undergo surgical intervention.
Objectives: The study aims to assess magnitude and associated factors of acute appendicitis among adult patients admitted to the surgical ward at Hawassa University Comprehensive Specialized Hospital, (HUCSH) Sidema region Southern Ethiopia.
Materials and Methods: Retrospective cross sectional study was conducted at HUCSH surgical ward and a review of all patient documents who present with acute appendicitis from July 2020 -Jun 2021. Data were abstracted from patient cards and registration books using structured Questioners. A bivariable and multivariate logistic regression model being used to determine predictors of AA. A p-value less than 0.05 were taken as a cut point to determine significant association.
Results: A total of 237 patients record were reviewed and all samples were taken as the study participants. The mean age of study participants was 27.99 ± 9.45 years then Median age group of patients was 26 years and they lie between 25 years and 34 years. Among the study participants the magnitude of AA was 36 (15.2%). The associated factors such as being male (AOR=0.39; 95% CI (0.18-0.83), Study participant having fecal impaction (AOR=0.02; 95% CI (0.01-0.06) and having intestinal parasite AOR=0.14; 95% CI (0.06-0.32) were significantly associated with the magnitude of AA.
Conclusion: The study revealed that the magnitude of AA from study participants was 36 (15.2%). In the current study associated factors like sex, residence fecal impaction and intestinal parasite were significant predictors of AA. So it requires timely designed and implemented medical intervention to reduce the incidence of AA.
Keywords
Magnitude; Acute Appendicitis; Associated Factors; Admitted Patients
Introduction
Acute Appendicitis (AA) refers to severe inflammation of the vermiform appendix, which usually results from obstruction of the lumen of the appendix due to inefficient emptying into the colon. It is the most common cause of acute inflammation in the right lower quadrant of the abdominal cavity and it is the most common cause of emergency abdominal surgery globally [1-3]. AA is a life-threatening condition that requires timely medical and nursing intervention to limit morbidity and mortality [4].
The vermiform appendix is considered by most to be a vestigial organ; its importance in surgery results only from its propensity for inflammation, which results in the clinical syndrome known as acute appendicitis [5-7]. Many cases require removal of the inflamed appendix either by laparotomy or laparoscopy, untreated mortality is high, mainly because of rupture leading to peritonitis and shock [8]. In Western countries and the USA the risk of developing acute appendicitis in one’s lifetime is 8.6% for men and 6.7% for women [9-11].
General Hospital Oaxaca, Mexico abdominal pain is the most frequent symptom that occurs in patients, although other symptoms such as anorexia, nausea, constipation/diarrhea and fever are also described. Pain is typically per umbilical and epigastria, and later migrates to the lower right quadrant; however, despite being considered a classic symptom, migratory pain occurs only in 50 to 60% of patients with acute appendicitis. The appearance of nausea and vomiting occurs after the installation of pain, and fever usually manifests around six hours after the general clinical picture. This varies considerably from person to person, which in some cases is attributable to the location of the tip of the appendix [12].
Appendicitis occurs most commonly between the ages of 10 and 20 years and it has a male-to- female ratio of 1.4:1 in the United States [10]. Acute appendicitis is the most prevalent in low-income countries [13]. Infection in the gastrointestinal tract, inflammatory bowel disease, parasites, low-fiber diet, high intake of refined carbohydrates, and fecal impaction [14]. Acute appendicitis can affect people of any age but is most common between the ages of 10 and 20 years. It is more common in males, although females are twice as likely to undergo an appendectomy [15].
Materials and Methods Study Setting
The study was conducted at Hawassa University Comprehensive specialized located 5.6 km from Hawassa center in the sideman regional state of South Ethiopia. Hawassa is the capital of Sideman regional located 273 km south of Addis Ababa, Ethiopia. Hawassa University Comprehensive specialized Hospital (HUCSH) was established and started its full function in November 2005. It is one of the referral hospitals in the region serving a teaching hospital for Hawassa College of Medicine and Health Science, with a catchment population of 18 million people and serves about 45,000 patients of all types per year. The Hospital has twelve departments, surgery is one of the departments where emergency and elective cases are admitted and managed. It provides a range of services such as outpatient, in-patient and emergency different departments namely: Internal Medicine, Surgery, Obstetrics and Gynecology, 8 OPD, Pharmacy, Medical Laboratory, and Radiology. Currently, Hawassa University Comprehensive Specialized Hospital has 350 beds and provides health services for more than 18 million people; and the number of staff the hospital that gives service is 1568 of which 995 are females and 573 are males. The hospital has an objective of providing health services, training different health professionals and conducting health research. The study was carried out at surgical ward.
Study Design and Period
Retrospective cross sectional study was conducted to assess the magnitude and associated factor of acute appendicitis among patients admitted at surgical ward in HCSH from July 2020 -Jun 2021.
Source Population
All surgical wards admitted patients at HUCSH during the study period.
Study Population
All admitted Patients with sampled in surgical ward from July 2020 -Jun 2021 at HUCSH.
Eligibility Criteria
Inclusion criteria: Medical record of all selected patients admitted in surgical ward during the study period.
Exclusion criteria: We excluded incomplete Medical records data.
Variable of the Study
Dependent Variables: Magnitude of acute appendicitis
Independent Variables: Socio demographic data, patient related factors and clinical symptom such as age, sex, residence, occupation, parasites, smoking, fecal impaction, fever, vomiting, nausea and abdomen pain.
Sample Size Determination and Sampling Technique
The sample size was determined using a single population proportion formula with the following Assumptions: estimate prevalence rate (31.48%) taken from a previous study conducted in Wolaita Sodo Teaching and Referral Hospital, with 95% confidence level, and 5% degree of precision [16]. The final sample size was 237. To recruit study participants systematic random sampling technique was used until the required sample size was obtained.
Data Collection
Socio-demographic data and other factors were collected from Secondary data by using patient’s medical record of past 12 month (from July 2020-Jun 2021).
Data Quality Control
To ensure the quality of data, training was given for data collectors by Supervisors before starting data collection. Pre-tested was conducted to check its consistency, appropriateness, completeness and reliability of the questionnaire.
Data Processing and Analysis
Data were coded, entered and analyzed by using SPSS version 25 software. Data analysis involved descriptive statistics, including frequency, percentage, mean and standard deviations.
Binary logistic regression was used to see the association between dependent and independent Variables of the study participants. Those variables with p-value ≤0.25 on bivariate analysis was further considered for multivariate analysis to determine independent associations of each variable and to control confounding variables. Considered a statistically significant association is considered if P-value <0.05. Finally, data was presented by texts, graphs, tables and charts.
Results
Socio-demographic characteristics and other related factors
A total of 237 samples were taken in the surgical ward of HUCSH with a mean age of 27.99 ±9.45 years then Median age group of patients was 26 years and all of them lie between 25 years and 34 years. The magnitude of acute Appendicitis was 36 (15.2%), among the study participants 165 (69.6%) were males, 165 (69.6%) of patients came from rural while 137 (57.8%) were low diet fiber 92 (39%) were intestinal parasite, 229 (96.6%) were per umbilical pain shifting the RLQ, 211 (89%) were vomiting, 72 (30.4%) were fever (Table 1).
Variables | Frequency | Percent % | |
15-24 years | 152 | 64.2 | |
25-34 years | 73 | 30.8 | |
35-44 years | 6 | 2.5 | |
45-54 years | 6 | 2.5 | |
Age | >=55 years | 0 | 0 |
Sex | Male | 165 | 69.6 |
Female | 72 | 30.4 | |
Rural | 165 | 69.6 | |
Address | Urban | 72 | 30.4 |
Farmer | 60 | 25.3 | |
Occupation | Merchant | 53 | 22.4 |
Student | 86 | 36.3 | |
Civil servant | 38 | 16 | |
Fecal | Yes | 137 | 57.8 |
Impaction | No | 100 | 42.2 |
Smoking | Yes | 38 | 16 |
No | 199 | 84 | |
Low Diet Fiber | 137 | 57.8 | |
Diet | High Diet Fiber | 100 | 42.2 |
Intestinal Parasite | Yes | 92 | 39 |
No | 145 | 61 | |
Duration | =<24 hours | 229 | 96.6 |
2-3 days | 8 | 3.4 | |
Location of Abdominal Pain | Per umbilical pain shifting the | 229 | 96.6 |
RLQ | |||
RLQ | 8 | 3.4 | |
Unspecified site | 0 | 0 | |
Guarding | Yes | 223 | 94.1 |
No | 14 | 5.9 | |
Vomiting | Yes | 211 | 89 |
No | 26 | 11 | |
Nausea | Yes | 184 | 77.6 |
No | 53 | 22.4 | |
Fever | Yes | 72 | 30.4 |
No | 165 | 69.6 | |
Diarrhea | Yes | 6 | 2.5 |
No | 231 | 97.5 | |
Location Of | RLQ (McBurney’s point) | 217 | 91.6 |
Abdominal Tenderness | Unspecified | 20 | 8.4 |
Generalized | 0 | 0 | |
RLQ Mass | Yes | 79 | 33.3 |
No | 158 | 66.7 |
Table 1: Socio-demographic characteristics and other related factors among patients admitted at HUCSH surgical ward, from July 2020 -Jun 2021 (N=237).
The Magnitude of Acute Appendicitis
Among the total 237 study patient card review the magnitude of AA was 36(15.2%) of them developed acute appendicitis while 201(84.8 %) of them did not develop acute appendicitis. (Fig. 1).
Figure 1: Magnitude of acute appendicitis patient admitted at HUCSH surgical ward, from July 2020 -Jun 2021 (N=237).
Factors Associated With Acute Appendicitis
In the binary logistics regression age of the patient, sex of the patient, address of the patient , fecal impaction, diet and intestinal parasite had an association with acute appendicitis (p- value<0.25). However, from all sex of the patient, address of the patient, fecal impaction and intestinal parasite were shown significant predictor of acute appendicitis (p-value<0.05) in multivariable logistic regression. (Table 2).
Variables | Categories | AA Infection | Bivariate Analysis | Multivariate Analysis | |||
Yes | No | COR 95% C.I. | p-value | AOR 95% C.I. | p-value | ||
Age of the patient | 15-24 | 23 | 75 | 1.87 (.847–4.117) | 0.121* | 3.697(0.770–17.754) | 0.102 |
25-34 | 11 | 67 | 12.9 (1.679 –98.8) | 0.014* | 11.015(0.720–168.608) | 0.085 | |
35-44 | 2 | 56 | 4.293(.535–34.43) | 0.170* | 4.801(.185–124.763) | 0.345 | |
>=55 | 0 | 3 | 1 | 1 | |||
Sex of the patient | Male | 25 | 94 | 0.387(0.181–0.828) | .014* | 0.198(0.049 –0.803) | 0.023** |
Female | 11 | 107 | 1 | 1 | |||
Residence | Rural | 25 | 81 | 0.387(0.181-0.828) | 0.002* | 0.083(0.021–0.334) | 0.00** |
Urban | 11 | 120 | 1 | 1 | |||
Fecal impaction | Yes | 26 | 74 | 0.018(0.006-0.055) | 0.000* | 0.005(.001-0.031) | 0.000** |
No | 10 | 127 | 1 | 1 | |||
Diet | High | 15 | 133 | 1 | 1 | ||
Low | 21 | 68 | 0.365(0.177-0.753) | 0.006* | 1.181(0.331-4.212) | 0.798 | |
Intestinal parasite | Yes | 14 | 16 | 0.136(0.059-0.316) | 0.000* | 0.113(0.025-0.516) | 0.005** |
No | 22 | 185 | 1 | 1 |
Table 2: Associated factors among patient admitted at HUCSH surgical ward, from July 2020 – Jun 2021 (N=237) (COR: Crude Odds Ratio, AOR: Adjusted Odds Ratio, CI: Confidence Interval, N: number, 1: Reference).
Discussion
In the current study the overall magnitude of AA was 15.2%. This finding was similar to the study conducted in America, and Australia (16.0%) [6]. However, the finding of the current study was lower compared to the study conducted in South Africa (45.2%), Sudan (62.9%) and Ethiopia, at WUTRH (31.48%) [5,16]. The variation might be due to the socio-economic status of the country and area resulting in unable to life style.
In the current study different factors were significant predictors of AA. Among the study participants who were being male were 0.39 times more likely to affect by AA as compared to those study participants being female. The finding was in agreement with a similar study reported [12,16,17].
In the current study, the findings revealed that, among the study participants who were living in rural areas were 0.39 times more likely to affect by AA as compared to those study participants who live in urban areas. The current study figure was lower than similar studies reported in South Africa and Sudan [18,19]. This difference could be due to the difference in the study population and study setting.
In addition, the current study findings showed that, study participants who have fecal impaction were 0.02 times more likely to affect by AA as compared to those study participants who have no fecal impaction. The finding was in agreement with a similar study reported by (Nasim Ahmed.
In this current study the participants who have a history of intestinal parasites were 0.14 times more likely to develop AA as compared to those study participants who have no history of intestinal parasites. AA in agreement with others Nasim Ahmed (2021) [17]. In this study, patients having history of intestinal parasite were found to be 88.7% of times more likely to develop AA as compared to patients were not having history of intestinal parasite. The finding was in agreement with the similar study reported by Nasim Ahmed [17-29].
Conclusion
The current study revealed that the magnitude of acute appendicitis was relatively low in our study area. It shows the magnitude of acute appendicitis is different from place to place. In relation to associated factors sex, place of residence, fecal impaction and intestinal parasite were significant predictor of the occurrence of AA. There is a need to design and implement an intervention to reduce the incidence of AA.
Acknowledgment
We would like to thank all surgical ward staff and record unit worker who assisted us during data collection time.
Author Contributions
All authors participate on study design, data retrieval and capture, statistical analysis, manuscript writing, manuscript revision, editing and final approval.
Ethical Consideration
The study was approved by the institutional review board of Hawassa University, College of Medicine and health sciences. To review each patient’s medical record permission letters and before data collection, informed consent were obtained from HUCSH. Privacy and confidentiality of each information were properly kept.
Conflict of Interest
Author declares no conflicts of interest.
References
- Adu A, Birhanu Y. Acute appendicitis in Ethiopia: A systematic review and meta-analysis. Int J Africa Nursing Sci. 2021;15:100343.
- Yang E, Kahn D, Cook C. Acute appendicitis in South Africa: a systematic review surgery. South African J Surgery. 2015;53(4):1-8.
- Melkie A, Alemayehu T, Tarekegn E. Pattern of acute abdomen in Dil Chora referral hospital, Eastern Ethiopia. Int J Collaborative Res on Internal Medicine and Pub Health. 2016;8(11).
- Macaluso CR, McNamara RM. Evaluation and management of acute abdominal pain in the emergency department. Int J General Medicine. 2012;5:789.
- Chaudhari YP, Jawale PG. Prevalence of appendicitis at surgery inpatient department of a tertiary care hospital: a descriptive study. Int Med J. 2015;2(11):768-0.
- Workneh D, Fentahun N. Outcome of non-traumatic surgical acute abdomen in nekemte referral hospital southwest Ethiopia: a retrospective cross-sectional study. Surgery Curr Res. 2016;7(282):1-5.
- Obsa MS, Adema BG, Shanka GM, Lake EA, Azeze GA, Fite RO. Prevalence of acute appendicitis among patient admitted for acute abdomen in Ethiopia: systematic review and meta-analysis. Int J Surgery Open. 2020;26:154-60.
- Yonas Yilma LG. Clinics in surgery management outcomes of acute appendicitis. Mettu. 2019;4.
- Pelin M, Paquette B, Revel L, Landecy M, Bouveresse S, Delabrousse E. Acute appendicitis: Factors associated with inconclusive ultrasound study and the need for additional computed tomography. Diagnostic and Interventional Imaging. 2018;99(12):809-14.
- Krzyzak M, Mulrooney SM. Acute appendicitis review: background, epidemiology, diagnosis, and treatment. Cureus. 2020;12(6).
- Baird DL, Simillis C, Kontovounisios C, Rasheed S, Tekkis PP. Acute appendicitis. BMJ. 2017;357.
- Gebrie T, Handiso T, Hagisso S. Management outcome and associated factors of surgically treated non traumatic acute abdomen at Attat Hospital, Zone, Ethiopia. Int J Surg Res Pract. 2019;6:099.
- Kong VY, Bulajic B, Allorto NL, Handley J, Clarke DL. Acute appendicitis in a developing country. World J Surg. 2012;36(9):2068-73.
- Hou JK, Lee D, Lewis J. Diet and inflammatory bowel disease: review of patient-targeted recommendations. Clinical Gastroenterology and Hepatology. 2014;12(10):1592-600.
- Pawulos W. Assessment of non-traumatic acute abdominal cases treated operatively at Wolaita Sodo teaching and referral hospital, Southern Ethiopia. Assessment. 2017;14.
- Ferris M, Quan S, Kaplan BS, Molodecky N, Ball CG, Chernoff GW, et al. The global incidence of appendicitis: a systematic review of population-based studies. Annals Surg. 2017;266(2):237-41.
- Nasim A. Acute appendicitis. BMJ Best Practice. 2021.
- Tsegaye S, Osman M, Bekele A. Surgically treated acute abdomen at gondar university hospital, Ethiopia. East and Central African J Surg. 2007;12(1):53-7.
- Nyundo M, Rugwizangoga E, Ntakiyiruta G, Kakande I. Outcome of emergency abdominal surgery at Kigali University Teaching Hospital: a review of 229 cases. East and Central African J Surg. 2013;18(1):31-9.
- Doumi EB, Mohammed MI. Acute bbdomen at El Obeid Hospital, Western Sudan. Sudan J Medical Sci. 2009;4(2).
- Awedew AF, Shimels T. Epidemiological pattern and outcomes of surgical acute abdomen in Ethiopia: A meta-analysis. East and Central African J Surgery. 2021;26(3):135-42.
- Obsa MS, Adema BG, Shanka GM, Lake EA, Azeze GA, Fite RO. Prevalence of acute appendicitis among patient admitted for acute abdomen in Ethiopia: systematic review and meta-analysis. Int J Surgery Open. 2020;26:154-60.
- Hernández-Cortez J, León-Rendón JL, Martínez-Luna MS, Guzmán-Ortiz JD, Palomeque-López A, Cruz-López N, et al. Acute appendicitis: literature review. Cirujano General. 2019;41(1):33-8.
- Kurosh P. Appendicitis pediatric surgery. Diagnosis and Management. 2014.
- Li J, Xu R, Hu D, Zhang Y, Gong T, Wu X. Prehospital delay and its associated psychosocial factors in patients presenting with acute appendicitis in a southwestern city in China: a single-centre prospective observational study. BMJ Open. 2019;9(6):e023491.
- Lin KB, Lai KR, Yang NP, Chan CL, Liu YH, Pan RH, et al. Epidemiology and socioeconomic features of appendicitis in Taiwan: a 12-year population-based study. World J Emerg Surg. 2015;10(1):1-3.
- Sirikurnpiboon S, Amornpornchareon S. Factors associated with perforated appendicitis in elderly patients in a tertiary care hospital. Surg Res and Pract. 2015.
- Munirahb I. Prevalence of acute appendicitis in hospital tengkuampuanrahimah, klang in universitite. 2014.
- Wossen MT. Pattern of emergency surgical operations performed for non-traumatic acute abdomen at Ayder Referral Hospital, Mekelle University, Tigrai, Ethiopia by the Year 2000-2003 Ec. J Clinical Trials. 2019;9(5):1-4.
Article Type
Research Article
Publication History
Received On: 13-07-2022
Accepted On: 06-08-2022
Published On: 13-08-2022
Copyright© 2022 by Mosa BD, et al. All rights reserved. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Citation: Mosa BD, et al. Magnitude and Associated Factor of Acute Appendicitis among Adult Patient Admitted At Hawassa University Comprehensive Specialized Hospital in Surgical Ward. J Surg Res Prac. 2022;3(2):1-10.
Figure 1: Magnitude of acute appendicitis patient admitted at HUCSH surgical ward, from July 2020 -Jun 2021 (N=237).
Variables | Frequency | Percent % | |
15-24 years | 152 | 64.2 | |
25-34 years | 73 | 30.8 | |
35-44 years | 6 | 2.5 | |
45-54 years | 6 | 2.5 | |
Age | >=55 years | 0 | 0 |
Sex | Male | 165 | 69.6 |
Female | 72 | 30.4 | |
Rural | 165 | 69.6 | |
Address | Urban | 72 | 30.4 |
Farmer | 60 | 25.3 | |
Occupation | Merchant | 53 | 22.4 |
Student | 86 | 36.3 | |
Civil servant | 38 | 16 | |
Fecal | Yes | 137 | 57.8 |
Impaction | No | 100 | 42.2 |
Smoking | Yes | 38 | 16 |
No | 199 | 84 | |
Low Diet Fiber | 137 | 57.8 | |
Diet | High Diet Fiber | 100 | 42.2 |
Intestinal Parasite | Yes | 92 | 39 |
No | 145 | 61 | |
Duration | =<24 hours | 229 | 96.6 |
2-3 days | 8 | 3.4 | |
Location of Abdominal Pain | Per umbilical pain shifting the | 229 | 96.6 |
RLQ | |||
RLQ | 8 | 3.4 | |
Unspecified site | 0 | 0 | |
Guarding | Yes | 223 | 94.1 |
No | 14 | 5.9 | |
Vomiting | Yes | 211 | 89 |
No | 26 | 11 | |
Nausea | Yes | 184 | 77.6 |
No | 53 | 22.4 | |
Fever | Yes | 72 | 30.4 |
No | 165 | 69.6 | |
Diarrhea | Yes | 6 | 2.5 |
No | 231 | 97.5 | |
Location Of | RLQ (McBurney’s point) | 217 | 91.6 |
Abdominal Tenderness | Unspecified | 20 | 8.4 |
Generalized | 0 | 0 | |
RLQ Mass | Yes | 79 | 33.3 |
No | 158 | 66.7 |
Table 1: Socio-demographic characteristics and other related factors among patients admitted at HUCSH surgical ward, from July 2020 -Jun 2021 (N=237).
Variables | Categories | AA Infection | Bivariate Analysis | Multivariate Analysis | |||
Yes | No | COR 95% C.I. | p-value | AOR 95% C.I. | p-value | ||
Age of the patient | 15-24 | 23 | 75 | 1.87 (.847–4.117) | 0.121* | 3.697(0.770–17.754) | 0.102 |
25-34 | 11 | 67 | 12.9 (1.679 –98.8) | 0.014* | 11.015(0.720–168.608) | 0.085 | |
35-44 | 2 | 56 | 4.293(.535–34.43) | 0.170* | 4.801(.185–124.763) | 0.345 | |
>=55 | 0 | 3 | 1 |
| 1 |
| |
Sex of the patient | Male | 25 | 94 | 0.387(0.181–0.828) | .014* | 0.198(0.049 –0.803) | 0.023** |
Female | 11 | 107 | 1 |
| 1 |
| |
Residence | Rural | 25 | 81 | 0.387(0.181-0.828) | 0.002* | 0.083(0.021–0.334) | 0.00** |
Urban | 11 | 120 | 1 |
| 1 |
| |
Fecal impaction | Yes | 26 | 74 | 0.018(0.006-0.055) | 0.000* | 0.005(.001-0.031) | 0.000** |
No | 10 | 127 | 1 |
| 1 |
| |
Diet | High | 15 | 133 | 1 |
| 1 |
|
Low | 21 | 68 | 0.365(0.177-0.753) | 0.006* | 1.181(0.331-4.212) | 0.798 | |
Intestinal parasite | Yes | 14 | 16 | 0.136(0.059-0.316) | 0.000* | 0.113(0.025-0.516) | 0.005** |
No | 22 | 185 | 1 |
| 1 |
|
Table 2: Associated factors among patient admitted at HUCSH surgical ward, from July 2020 – Jun 2021 (N=237) (COR: Crude Odds Ratio, AOR: Adjusted Odds Ratio, CI: Confidence Interval, N: number, 1: Reference).