| Literature DB >> 35070546 |
Amal Alqahtani1, Wafa I Alsaab1, Bader Altulahi1.
Abstract
Background Acne is a chronic inflammatory skin disease caused by bacterial colonization that damages the pilosebaceous gland on the face and other parts of the body. It is one of the most frequent dermatologic diseases in the young population. Acne vulgaris is a devastating disease, and it has a significant impact on a patient's quality of life, influencing their self-esteem as well as their psychosocial development. This study aimed to explore the psychological symptoms associated with patients with acne, its impact on their quality of life according to their personal characteristics, and to raise the importance of observing and managing psychological symptoms during acne treatment. Methods In this cross-sectional study, data were collected through a paper questionnaire. The questionnaire was composed of two parts, the first includes data about demographics and general health while the second has details about the Dermatology Life Quality Index (DQLI); the Arabic validated version was used for data collection. Data were analyzed using SPSS version 20 (IBM Corp., Armonk, NY). Results According to the impact of acne on respondents' lives, 40.0% have no effect at all, 31.0% have small effects, 19.0% have moderate effects,9.0% have large effects, and 0.7% have extremely large effects. Conclusions Acne is a major problem that affects the quality of life of young patients. Its effect is significantly higher among less educated patients and those with a longer duration of disease.Entities:
Keywords: acne; community mental health; quality of life; scar; skin
Year: 2021 PMID: 35070546 PMCID: PMC8764640 DOI: 10.7759/cureus.20509
Source DB: PubMed Journal: Cureus ISSN: 2168-8184
Summarizes all participant information
| Age | Frequency | Percent | |
| 15 to less than 20 | 89 | 29.7 | |
| 20 to less than 25 | 133 | 44.3 | |
| 25 to 30 | 78 | 26.0 | |
| Literacy levels | |||
| Illiterate | 2 | 0.7 | |
| School | 97 | 32.3 | |
| university | 201 | 67 | |
| Gender | |||
| male | 67 | 22.3 | |
| female | 233 | 77.7 | |
| Marital status | |||
| single | 254 | 84.7 | |
| married | 45 | 15 | |
| divorced | 1 | 0.3 | |
| You have children | |||
| yes | 23 | 7.7 | |
| no | 277 | 92.3 | |
| Duration of recode | |||
| 2 years or less | 169 | 56.3 | |
| more than 2 years | 131 | 43.7 | |
| Location on face | |||
| yes | 280 | 93.3 | |
| no | 20 | 6.7 | |
| location on chest | |||
| yes | 105 | 35 | |
| no | 195 | 65 | |
| location on back | |||
| yes | 129 | 43 | |
| no | 171 | 57 | |
| Family history of acne | |||
| yes | 146 | 48.7 | |
| no | 154 | 51.3 | |
| Pigmentation | |||
| yes | 157 | 52.3 | |
| no | 143 | 47.7 | |
| Scar | |||
| yes | 114 | 38 | |
| no | 186 | 62 | |
| Chronic disease | Frequency | Percent | |
| yes | 38 | 12.7 | |
| no | 262 | 87.3 | |
| Total | 300 | 100 | |
| Medications | Frequency | Percent | |
| yes | 54 | 18 | |
| no | 246 | 82 | |
| Total | 300 | 100 | |
Figure 1Categories of impact
The figure shows the categories of the impact of acne on quality of life, with 40% of patients having no effect at all on their quality of life, 31% having small effects, 19% having moderate effects, 9% having large effects, and 0.7% having extremely large effects.
Comparisons between demographical variables and impact categories
This depicts that education and the duration of recode have a significant relationship with the categories of impact.
| Crosstab | ||||||||
| Impact Categories | Total | |||||||
| no effect at all on the patient's life | small effect on the patient's life | moderate effect on the patient's life | very large effect on the patient's life | extremely large effect on the patient's life | ||||
| Age | 15 to less than 20 | 34 | 27 | 19 | 9 | 0 | 89 | |
| 38.2% | 30.3% | 21.3% | 10.1% | 0.0% | 100.0% | |||
| 20 to less than 25 | 50 | 44 | 25 | 12 | 2 | 133 | ||
| 37.6% | 33.1% | 18.8% | 9.0% | 1.5% | 100.0% | |||
| 25 to 30 | 36 | 22 | 13 | 7 | 0 | 78 | ||
| 46.2% | 28.2% | 16.7% | 9.0% | 0.0% | 100.0% | |||
| p= 0.812 | ||||||||
| Impact Categories | Total | |||||||
| no effect at all on the patient's life | small effect on the patient's life | moderate effect on the patient's life | very large effect on the patient's life | extremely large effect on the patient's life | ||||
| Gender | Male | 31 | 18 | 15 | 3 | 0 | 67 | |
| 46.3% | 26.9% | 22.4% | 4.5% | 0.0% | 100.0% | |||
| female | 89 | 75 | 42 | 25 | 2 | 233 | ||
| 38.2% | 32.2% | 18.0% | 10.7% | .9% | 100.0% | |||
| p=0.331 | ||||||||
| Education | Impact Categories | Total | ||||||
| no effect at all on the patient's life | small effect on the patient's life | moderate effect on the patient's life | very large effect on the patient's life | extremely large effect on the patient's life | ||||
| illiterate | 0 | 0 | 0 | 2 | 0 | 2 | ||
| 0.0% | 0.0% | 0.0% | 100.0% | 0.0% | 100.0% | |||
| school | 38 | 28 | 20 | 11 | 0 | 97 | ||
| 39.2% | 28.9% | 20.6% | 11.3% | 0.0% | 100.0% | |||
| university | 82 | 65 | 37 | 15 | 2 | 201 | ||
| 40.8% | 32.3% | 18.4% | 7.5% | 1.0% | 100.0% | |||
| p=0.005 | ||||||||
| Marital status | Impact Categories | Total | ||||||
| no effect at all on the patient's life | small effect on the patient's life | moderate effect on the patient's life | very large effect on the patient's life | extremely large effect on the patient's life | ||||
| single | 104 | 76 | 48 | 24 | 2 | 254 | ||
| 40.9% | 29.9% | 18.9% | 9.4% | .8% | 100.0% | |||
| married | 16 | 17 | 8 | 4 | 0 | 45 | ||
| 35.6% | 37.8% | 17.8% | 8.9% | 0.0% | 100.0% | |||
| p=0.839 | ||||||||
| Children’s | Impact Categories | Total | ||||||
| no effect at all on the patient's life | small effect on the patient's life | moderate effect on the patient's life | very large effect on the patient's life | extremely large effect on the patient's life | ||||
| yes | 5 | 9 | 6 | 3 | 0 | 23 | ||
| 21.7% | 39.1% | 26.1% | 13.0% | 0.0% | 100.0% | |||
| no | 115 | 84 | 51 | 25 | 2 | 277 | ||
| 41.5% | 30.3% | 18.4% | 9.0% | .7% | 100.0% | |||
| p=0.434 | ||||||||
| Impact Categories | Total | |||||||
| no effect at all on the patient's life | small effect on the patient's life | moderate effect on the patient's life | very large effect on the patient's life | extremely large effect on the patient's life | ||||
| Q6_Duration_Recode | 2 years or less | 90 | 37 | 25 | 15 | 2 | 169 | |
| 53.3% | 21.9% | 14.8% | 8.9% | 1.2% | 100.0% | |||
| more than 2 years | 30 | 56 | 32 | 13 | 0 | 131 | ||
| 22.9% | 42.7% | 24.4% | 9.9% | 0.0% | 100.0% | |||
| p=0.0001 | ||||||||
Figure 2Histogram of impact score
The figure shows that the mean impact score was 4.03, with the distribution being right-skewed. The median score was 3.