Abstract
Objective:
Coffee holds a cherished place in Ethiopian culture, its consumption among students raises concerns despite its perceived benefits for alertness and productivity. Moderate caffeine intake remains unproblematic, but exceeding 400 mg daily can trigger detrimental health effects such as fatigue, memory impairment, and even attention-deficit disorder. Research on problematic coffee use among young adults, specifically Ethiopian students, remains limited, hindering our understanding of its potential scope and impact. To address this knowledge gap, researchers at Dilla University, Ethiopia, undertook a comprehensive study in 2022, focusing on the university’s student population. This investigation holds significant potential to unveil the previously obscured landscape of excessive coffee consumption in this demographic and inform future research and potential interventions.
Methodology:
An institutional-based cross-sectional study design was conducted in August–July, 2022. To measure problematic coffee use, this study used the Diagnostic Statistical Manual five criteria for substance use disorder. Those who scored >2 out of 11 criteria were considered to have problematic coffee use. To measure a significant association between the outcome and independent variable, a multivariable logistic regression analysis at p < 0.05 and 95% confidence interval was employed.
Result:
This study included 414 respondents. More than half of the respondents, 347 (59.7%) were male. Out of all respondents, 182 (44.0%) had a boy/girlfriend. Nearly half of the respondents, 218 (52.7%) were orthodox, Christian religion followers. According to this study’s findings, 137 (33.1%) respondents were considered to have problematic coffee use. Multivariable logistic regression analysis showed that 5–10 years duration of coffee use (AOR = 4.62, 95% CI: 2.96–7.85; p = 0.001), start to use coffee before joining university (AOR = 2.977, 95% CI: 1.332–6.653; p = 0.008) and 6–9 cups of daily coffee use (AOR = 3.26, 95% CI: 2.14–5.89; p = 0.00) were associated with problematic coffee use.
Conclusion:
This study showed that one-third of the respondents had problematic coffee use. The starting point, duration, and amount of use had a strong association with problematic coffee use. Hence, focusing on addressing the mental health challenges associated with problematic/excessive coffee consumption among higher education students is advisable. Additionally, promoting awareness of problematic/excessive coffee use and its potential remedies is recommended.
Keywords: Problematic coffee use, university student, Southern Ethiopia
Introduction
Coffee is a beverage made from the roasted coffee seeds and beans of the coffee plant family. 1 It is dark, bitter, a little acidic, and stimulates people mostly because it contains caffeine. It is one of the most consumed beverages worldwide. 1
In Western Europe, particularly in England and Germany, coffee shops began to emerge in the late 17th century. Coffee’s religious overtones have persisted throughout the Horn of Africa and the Middle East, and the ritualistic practices there continue to be sophisticated and deliberate. 2
Coffee is a traditional beverage that is usually consumed early morning and in the daily social rituals of most Ethiopians. Even after relocating to the USA, Ethiopians and Eritreans carried out the coffee ceremonies. About half of Ethiopia’s yearly coffee harvest is consumed domestically and the remainder is exported. 3 Although coffee has certain cognitive benefits, such as increasing alertness, energy, and feelings of well-being, excessive consumption can have several negative side effects, such as disrupted sleep, jitters, irritability, and gastrointestinal distress. 4
The caffeine contents in coffee ranges from 50 to 143 mg/177 ml. 5 The caffeine content of coffee is influenced by various coffee preparation methods. 5 Caffeine has a 6-h half-life, which means it takes 6 h for the chemical to be obliterated by the body. Evidence suggests that consumption of ⩽400 mg caffeine/day in healthy adults is not associated with adverse cardiovascular, behavioral, reproductive, acute, or bone status effects. 6 When consumed in excess dose, coffee has a particularly negative psycho-physiological effect on the human body that promotes insomnia, anxiety, nervousness, restlessness, and rambling thoughts and is linked to several harmful health effects.7–9
The amount of coffee used up to five cups or equivalent to 500 mg doses of caffeine may increase alternates, agitation, insomnia, and heart rate. 10 Students have consumed coffee in many higher educational institutions around the world. For instance, high intake is reported among students in 92% of students in the United States, 11 98% of the Bahrain population, 12 and 58% in Saudi Arabia. 13
Common withdrawal symptoms after consuming coffee include headache, exhaustion, trouble concentrating, and dysphoric mood. In these cases, the neurotransmitter Gamma-aminobutyric acid (GABA), which helps control anxiety, appears to be depleted, and the impacts of our two main stress hormones, cortisol, and adrenaline, are amplified. 14 Most people can safely consume low-to-moderate amounts of coffee, but those who are more susceptible to cardiovascular problems and pregnancy complications should avoid consuming more coffee. 15 Caffeinated drinks like coffee are used as a stimulant that enhances wakefulness. It is used widely in Ethiopia among college students. 16 Medicine and health science students had a higher course load as compared with other disciplined studies as a result they drink coffee for study purposes.17,18 The university is situated close to a significant coffee trading hub. One of the top coffee brands exported to several Western nations is Yirga Cheffe. 19
Several studies suggest among university students males consume more caffeine when compared to females.20–22 Most students use coffee during times of academic stress and excessive caffeine consumption results in irritability, fatigue, poor sleep, and subsequently affects academic performance.12,20–22 Furthermore, another study done in Saudi Arabia suggested that factors like being male, young adults, unmarried, poor sleep patterns, and smokers were highly likely to influence patterns of coffee use. 23 Coffee is consumed in different social worlds, ethnic and religious backgrounds. 24 Furthermore, the patterns of use might be influenced by religious practices. 25
There have not been numerous studies done on excessive coffee consumption despite the negative impact it has on people’s physical and mental health in the young adult population. Therefore, the purpose of this study was to evaluate problematic coffee use and its contributing factors among students of medicine and health sciences at Dilla University.
Methodology
Study area and period
The study was done at Dilla University, located in the southern part of Ethiopia. Dilla University has an estimated 30,108 students enrolled. The university has 51 undergraduate and 21 graduate departments, which provide regular, extension, and summer courses at the BA/BSc, Bed, MA/MSc, and PhD levels. Students from medicine and health at Dilla University participated in the study. The research was carried out in 2022 between July and August.
Study design
This study was an institutional-based cross-sectional study design.
Source population
All students who attend Dilla University, college of Medicine and Health Science in the study period.
Inclusion and exclusion criteria
The inclusion criterion for this study was all students who have been consuming coffee for the past 3 months and those with physical or mental illness were excluded from the study.
Outcome variable
Problematic coffee use.
Independent variables of the study
Sex, religion, monthly pocket money, residence, relationship status, department, year of student, average grade, duration of use, starting period, comorbid substance use, and family history of substance use.
Sample size determination, sampling techniques, and procedures
The sample size was calculated using the formula for population proportion at confidence interval CI = 95%, at 95% + 1.96, the estimate of the population proportion, p = 50 since no study was conducted on the study area and margin of error, W = 5% or 0.05 then the required sample of the study will be calculated as follows; n = (zα/2)2 p (1−p)/d2 = 384, For possible non-response during the survey, the final sample size is increased by 10% to n = 384 + 10% which is 38.4 = 422.
All the eight departments (medicine, Health officers, midwifery, clinical nurse, psychiatry, anesthesia, environmental health, and pharmacy) under medicine and health science with their level of academic years (batches) were included in this study. The study was carried out in a multi-stage sampling technique for recruiting study participants. Students were stratified based on their batch/academic year and the sample size was distributed using probability proportional to size. Consequently, the final sample size was allocated proportionally based on the number of students in each department based on the number of students with the level of academic years (batches). Finally, a simple random sampling technique was used to select participants by using their identity card number as a sampling frame (see Figure 1).
Data collection instruments
A Diagnostic Statistical Manual-5 criterion (DSM-5) of substance use disorder was used to measure caffeine use disorder. According to the DSM-5 criteria, a diagnosis of substance use disorder is based on evidence of impaired control, social impairment, risky use, and pharmacological criteria. 26 Problematic coffee use is diagnosed when a maladaptive pattern of substance use leads to clinically significant impairment or distress, as manifested >2/11 occurring at any time in the 12-month period. 27 Several evidence proposed to use the same criteria as substance use disorder to assess caffeine use disorder. There is need for future research to that encourages the validity, and prevalence of caffeine use disorder. 28 The reliability of DSM-5 criteria for coffee use disorder assessed in our study was Cronbach’s α of 0.80.
In this study students’ coffee use was measured based on a subjective response to a cup of coffee they used on a daily basis.
The alcohol, Smoking, and Substance Involvement Screening Test (ASSIST-3.0) was used to evaluate the individuals’ current alcohol, tobacco, chewing gum, and cannabis use. It was created by the World Health Organization to identify the use of psychoactive substances and associated issues in patients receiving primary care.29,30 The scale has sensitivity and specificity 97% and 90% respectively. 31 The average reliability of the ASSIST with Cronbach’s α range of 0.58–0.90 and has good validity tested in various countries. 29
Participants were classified as current substance users if they had used any psychoactive substance in the last 3 months. 32
Current comorbid substance use was assessed using a subjective response to respondents’ additional psychoactive substance use such as khat, cigarettes, and alcohol simultaneously with coffee for the last 3 months period. 33
Current family history of substance use: Based on respondents’ subjective responses, it was determined whether their immediate family members had used alcohol, cigarettes, khat, or any other psychoactive substance within the previous 3 months. 34
Data collection procedures
To ensure its accuracy, the questionnaire was first written in English, translated into the Amharic-speaking area’s language, and then returned to English. At Bulle Horra University, 5% of the estimated sample participated in pretesting of the questionnaire. Based on the feedback from the pre-test, the questions were modified. Both the supervisors and data collectors received 2 days of training. The data collectors explained the goals of the study to the study participants. The participants were given enough time to complete the questionnaire. The data collection was completed timely.
Statistical analysis and interpretation
The collected data was coded, entered into EPi-data version 3.1 and exported to SPSS version 24 for analysis. EPI-data version 3.1 is an open-source software developed by the Open Science Collaboration (https://github.com/HardNorth/github-version-generate), while SPSS version 24 is a commercial software produced by IBM (https://www.ibm.com/support/pages/downloading-ibm-spss-statistics-24) A logistic regression analysis was performed to identify associated risk factors for problematic coffee use and presented as odds ratios (OR) with 95% confidence intervals (95% CI). Bivariate logistic regression analysis was used to assess the correlates of independent factors with problematic coffee use with a p-value of <0.25 were considered as candidates for multivariable logistic regressions. Variables with a p-value less than 0.05 were considered statistically significant associations between independent factors and problematic coffee use.
Results
Sociodemographic characteristics
This study sample size was 422 with a 98% response rate. The respondents included in the study are 414. According to this study result, more than half of the respondents 247 (59.7%) were males and the mean age of respondents was 22.1 (±2.5) ranging from 19 to 25 years old. Among the respondents, the department of pharmacy had the highest concentration with 88 students (21.3%), followed by second-year students with 152 (36.7%). Nearly half (44.9%) had a GPA between 3.5 and 4.0, while 41.1% came from western Ethiopia (see Table 1).
Table 1.
Variable | Frequency | Percentage |
---|---|---|
Gender | ||
Male | 247 | 59.7 |
Female | 167 | 40.3 |
Residence | ||
South Ethiopia | 58 | 14.0 |
West Ethiopia | 170 | 41.1 |
East Ethiopia | 62 | 15.0 |
North Ethiopia | 123 | 29.7 |
Do you have a boyfriend | ||
Yes | 182 | 44.0 |
No | 232 | 56.0 |
Religion | ||
Orthodox | 218 | 52.7 |
Muslim | 88 | 21.3 |
Protestant | 107 | 25.8 |
Department | ||
Medicine | 27 | 6.5 |
Anesthesia | 45 | 10.9 |
Environmental health | 35 | 8.5 |
Health officer | 56 | 13.5 |
Laboratory | 41 | 9.9 |
Midwifery | 53 | 12.8 |
Nursing | 20 | 4.8 |
Pharmacy | 88 | 21.3 |
Psychiatry | 49 | 11.8 |
Year of study | ||
Fifth year | 26 | 6.3 |
Fourth year | 136 | 32.9 |
Third year | 100 | 24.2 |
Second year | 152 | 36.7 |
Average grade point | ||
2.5–3.0 | 67 | 16.2 |
3.0–3.5 | 157 | 37.9 |
3.5–4.0 | 190 | 45.9 |
Monthly income | ||
<500 ETB | 4 | 1.0 |
500–1000 ETB | 50 | 12.1 |
1000–1500 ETB | 149 | 36.0 |
1500–2000 ETB | 141 | 34.1 |
2000–2500 ETB | 70 | 16.9 |
Substance-related factors
Out of the 11 items used to measure problematic coffee use, 305 (73.7%) of respondents said yes to the item “Experiencing intense cravings or urges using the substance.” On the contrary, 14 (3.4%) of them responded yes to the item “Continuing to use even when it causes relationship problems.” After summing up the total items of a substance use disorder, 137 (33.1%) of them scored >2/11 and were considered problematic coffee use (see Table 2).
Table 2.
Items of substance use disorder (DSM-5 diagnostic disorder criteria) | ||
---|---|---|
Category | Yes | No |
Using substances again and again, even when it puts you in danger | 47 (11.4%) | 367 (88.6%) |
Not managing to do what you should at work, home, or school because of substance use | 45 (10.9%) | 369 (89.1%) |
Continuing to use, even when it causes problems in relationships | 14 (3.4%) | 400 (96.6%) |
Giving up important social, occupational, or recreational activities because of substance use | 35 (8.5%) | 379 (91.5%) |
Continuing to use, even when you know you have a physical or psychological problem that could have been caused or made worse by the substance | 163 (39.4%) | 251 (60.6%) |
Spending a lot of time getting, using, or recovering from use of the substance | 33(8%) | 381 (92%) |
Wanting to cut down or stop using the substance but not managing to | 155(37.4%) | 259 (62.6%) |
Taking the substance in larger amounts or for longer than you’re meant to | 90(21.7%) | 324 (78.3%) |
Cravings and urges to use the substance | 305 (73.7%) | 109 (26.3%) |
Development of withdrawal symptoms, which can be relieved by taking more of the substance | 297 (71.7%) | 117 (28.3%) |
Needing more of the substance to get the effect you want (tolerance) | 256 (61.8%) | 158 (38.2%) |
Psychosocial variable results
More than half of the respondents, 236 (57%) of them had <5 years history of coffee use. Nearly half of the participants, 210 (51.8%) had started to use coffee after joining the university (see Table 3).
Table 3.
Category variables | Frequency | Percentage |
---|---|---|
Duration of coffee use in years | ||
<5 years | 236 | 57.0 |
5–10 years | 178 | 43.0 |
A daily cup of coffee use | ||
<1–3 cups | 178 | 42.9 |
3–6 cups | 130 | 31.4 |
6–9 cups | 106 | 25.6 |
Comorbid substance use | ||
Yes | 46 | 11.1 |
No | 368 | 88.9 |
When did you start | ||
Before joining university | 204 | 49.2% |
After joining university | 210 | 51.8% |
Family history | ||
Yes | 400 | 96.6 |
No | 14 | 3.4 |
Comorbid: Additional use of a substance (khat, cigarette, alcohol).
Logistic regression analysis data
From all variables entered into logistic regression analysis, coffee use starting time and duration of coffee use were statistically significant with the outcome variable. During multivariable logistic regression analysis, 5–10 years duration of coffee use (AOR = 4.62, 95% CI: 2.96–7.85; p = 0.001), start to use coffee before joining university (AOR = 2.977, 95% CI: 1.332–6.653; p = 0.008) and 6–9 cups of daily coffee use (AOR = 3.26, 95% CI: 2.14–5.89; p = 0.01) were variables associated with problematic coffee use (see Table 4). This study found that participants with prior coffee use before joining college had three times the odds of problematic coffee use compared to those with no past use history (AOR = 2.977, 95% CI: 1.332–6.653; p = 0.08). The respondents who used coffee for 5–10 years had five times the odds of having problematic coffee use (AOR = 4.62, 95% CI: 2.96–7.85; p = 0.001) than those who used coffee for less than 5 years. Furthermore, this study found that the respondents who used 6–9 cups of daily coffee had four times the odds of having problematic coffee use (AOR = 3.26, 95% CI: 2.14–5.89; p = 0.01) than those who used <1–3 cups coffee.
Table 4.
Variable | Problematic coffee use | 95% Crude odds ratio | p-Value | 95% adjusted odds ratio | p-Value | |
---|---|---|---|---|---|---|
Yes | No | |||||
Department | ||||||
Medicine | 9 | 18 | 1.17 (0.34–4.06) | 0.638 | 2.644 (0.784–8.917) | 0.117 |
Anesthesia | 18 | 27 | 1.56 (0.5–4.85) | 0.903 | 1.151 (0.452–2.929) | 0.768 |
Environmental health | 11 | 24 | 1.08 (0.32–3.45) | 0.489 | 2.557 (0.880–7.426) | 0.084 |
Health officer | 17 | 39 | 1.02 (0.33–3.63) | 0.365 | 1.356 (0.538–3.420) | 0.519 |
Laboratory | 15 | 26 | 1.35 (0.436–4.286) | 0.831 | 1.191 (0.448–3.165) | 0.726 |
Midwifery | 18 | 35 | 1.231 (0.549–2.764) | 0.614 | 1.014 (0.413–2.489) | 0.975 |
Pharmacy | 24 | 64 | 0.88 (0.304–2.54) | 0.166 | 0.733 (0.486–2.233) | 0.747 |
Psychiatry | 19 | 30 | 1.48 (0.48–4.51) | 0.23 | 1.23 (0.15–3.21) | 0.58 |
Nursing | 6 | 14 | 1 | |||
Year of study | ||||||
Fifth year | 3 | 23 | 1 | |||
Fourth-year | 34 | 101 | 2.58 (0.73–9.14) | 0.374 | 1.378 (0.670–2.831) | 0.383 |
Third year | 38 | 114 | 2.56 (0.73–8.94) | 0.030 | 0.446 (0.222–0.896) | 0.093 |
Second year | 31 | 68 | 3.44 (0.96–12.3) | 0.68 | 2.68 (0.63–10.8) | 0.49 |
Average grade point | ||||||
2.2.5–3.0 | 18 | 49 | 1.256 (0.675–2.337) | 1.256 | 0.733 (0.328–1.638) | 0.448 |
3.0–3.5 | 59 | 98 | 0.767 (0.491–1.196) | 0.767 | 0.680 (0.377–1.228) | 0.201 |
3.5–4.0 | 60 | 130 | 1 | |||
Monthly income (Ethiopian birr) | ||||||
<500 ETB | 3 | 1 | 1 | |||
500–1000 ETB | 15 | 35 | 14 (0.01–1.49) | 0.869 | 1.282 (0.518–3.170) | 0.591 |
1000–1500 ETB | 53 | 96 | 0.18 (0.02–1.81) | 0.675 | 0.932 (0.461–1.885) | 0.844 |
1500–2000 ETB | 46 | 94 | 0.16 (0.02–1.61) | 0.745 | 0.152 (0.018–2.337) | 0.695 |
2000–2500 ETB | 19 | 50 | 0.13 (0.01–1.29) | 0.65 | 0.11 (0.04–1.21) | 0.45 |
Duration of coffee use in years | ||||||
<5 years | >101 | 133 | 1 | 1 | ||
5–10 years | >143 | 35 | 5.38 (3.43, 8.45) | 0.000 | 4.62 (2.96–7.85) | <0.001* |
Daily cups of coffee use | ||||||
<1–3 cups | >62 | 111 | 1 | 1 | ||
3–6 cups | >78 | 52 | 2.69 (1.68, 4.29) | 0.01 | 2.43 (1.21–2.78) | 0.03* |
6–9 cups | >74 | 32 | 4.14 (2.47, 6.95) | 0.00 | 3.26 (2.14–5.89) | 0.01* |
Comorbid substance use | ||||||
Yes | 9 | 37 | 2.193 (1.026–4.685) | 0.04 | 0.856 (0.349–2.099) | 0.734 |
No | 127 | 239 | 1 | |||
When did you start | ||||||
Before joining university | 40 | 167 | 3.682 (2.371–5.716) | 0.000 | 2.977 (1.332–6.653) | 0.008* |
After joining university | 96 | 109 | 1 | |||
Family history of substance use | ||||||
Yes | 129 | 269 | 2.077 (0.714–6.045) | 0.180 | 1.596 (0.472–5.397) | 0.452 |
No | 7 | 7 | 1 | |||
Gender | ||||||
Male | 83 | 163 | 1.059 (0.697–1.609) | 0.787 | 0.704 (0.434–1.144) | 0.156 |
Female | 53 | 113 | 1 | |||
Residence | ||||||
South Ethiopia | 19 | 39 | 1 | |||
West Ethiopia | 64 | 106 | 1.24 (0.66–2.33) | 0.102 | 0.964 (0.546–1.700) | 0.898 |
East Ethiopia | 18 | 43 | 0.86 (0.49–1.87) | 0.935 | 0.637 (0.423–1.568) | 0.457 |
North Ethiopia | 35 | 88 | 0.82 (0.42–1.6) | 0.481 | 0.73 (0.36–1.31) | 0.378 |
Do you have a boy friend | ||||||
Yes | 55 | 127 | 0.792 (0.523–1.200) | .272 | 1.060 (0.665–1.690) | 0.806 |
No | 81 | 149 | 1 | |||
Religion | ||||||
Protestant | 38 | 68 | 0.948 (0.526–1.708) | 0.948 | 1.340 (0.673–2.666) | 0.405 |
Orthodox | 67 | 151 | 1.226 (0.726–2.069) | 1.226 | 1.672 (0.918–3.044) | 0.093 |
Muslim | 31 | 57 | 1 | 1 |
Comorbid: Additional use of substance (khat, cigarette, alcohol). *P value less than 0.05 and statistically significant.
Discussion
The pervasiveness of coffee in Ethiopia’s southern region extends beyond simple beverage preference, as evidenced by research revealing a concerning prevalence of problematic coffee use (33.1%). This multi-variable logistic regression analysis identified a significant association between duration and intensity of coffee consumption, with individuals consuming coffee for 5–10 years five times more likely to exhibit problematic behaviors than those with shorter histories. Furthermore, pre-existing coffee consumption prior to college enrolment tripled the odds of developing problematic habits among students, suggesting a potential link between long-term habitual use and unhealthy patterns. This study found that 137 (33.1%) of them developed problematic coffee use which was lower than the study done in the United States, 92%, 11 Bahrain population, 98%, 12 and Saudi Arabia, 58%. 13 This might be because European and Asian students had more laid-back lifestyles, experienced colder winters in Europe, enjoyed the hospitality of Arab people, frequently consumed caffeinated drinks, candies, and gum, and had more disposable income. 35
This study found that the respondents who used coffee for 5–10 years had five times the odds of having problematic coffee use than those who used coffee for less than 5 years. This was a similar finding to a study in France 36 and Singapore. 37 It might be because, following prolonged drug use, the brain starts to adjust to dopamine spikes. Drug users may subsequently experience exceptionally low levels of dopamine in the reward circuit of their brain, which limits their ability to experience any pleasure.38,39
This study found that the respondents who used 6–9 cups of daily coffee had four times the odds of having problematic coffee use than those who used <1–3 cups of coffee. Most recent reports European Food Safety Authority suggest that daily caffeine intakes from all sources up to 400 mg per day (4 cups) do not raise safety concerns for adults, except for pregnant women. 40 Other studies suggest risks of cardiovascular mortality and disease with intakes of more than three to four cups a day when compared to those taking none. 41 In addition, excessive coffee consumption can cause symptoms such as anxiety, agitation, insomnia, and gastrointestinal disorders. 42 Evidence suggests that negative effects of coffee tend to emerge with excessive drinking (more than 2–3 cups or 300 mg/day) so it is best to avoid heavy coffee intake. 43 On the contrary, a lot of evidence suggests that coffee consumption is also beneficial for wide a range of health outcomes except pregnancy. The researchers suggested that it has risk reduction for many health outcomes at three to four cups a day, and has benefit to health than harm. 41 Even though still there is contradicting evidence this might be due to the strength of the study. Most studies are observational rather than RCT. 41 This might also be quite different from the finding of our study that probes for further investigation.
This study finding showed that participants with prior coffee use before joining college had three times the odds of problematic coffee use compared to those with no past use history. This study finding was similar to the study done in Harar, Ethiopia. 44 It can be because drugs take time to cause physiological and psychological dependency. Recent evidence elaborates that prolonged substance use in adolescents shows that abnormality in brain functioning. These abnormalities ranged from brain structure volume, white matter quality, and cognitive tasks all of which contribute to psych-physiological dependence. 45 Coffee is a popular beverage in the southern region of Ethiopia. 3 Students consume coffee in many higher educational institutions in Ethiopia because of its high availability. 16 The reason for not including the other sources of caffeine intake in this study is because coffee is the main caffeine source among university students. Since it did not take into account other sources of caffeine use the finding should be interpreted taking this into account.
Limitations of study
This study’s findings, while insightful, must be considered within its limitations. Focusing only on young university students at a single institution limits generalizability. Additionally, assessing only recent, not lifetime, occurrences of problematic coffee use and excluding other caffeine sources and coffee types restricts the picture. Future research should address these gaps by evaluating long-term health impacts, academic performance effects, potential detrimental health consequences, and psychological implications of problematic coffee use. This broader focus would paint a more comprehensive picture of this issue in the Ethiopian student population.
Conclusion
This study identified a concerning pattern of coffee consumption among a significant proportion of students, characterized by intense cravings and a positive correlation between early initiation, high intake, and negative outcomes. These findings suggest a potentially troubling association between student coffee habits and psychiatric concerns, highlighting the need for targeted counseling and awareness initiatives within higher education settings. To ensure student well-being, it is crucial to address the mental health implications of coffee use patterns within this population.
Supplemental Material
Supplemental material, sj-docx-1-smo-10.1177_20503121241235455 for Problematic coffee use and associated factors among medical and health science students in Dilla University, Ethiopia by Chalachew Kassaw, Rediet Regasa, Misrak Negash, Amare Alemwork, Lulu Abebe, Solomon Yimer, Tamrat Anbesaw and Selamawit Alemayehu in SAGE Open Medicine
Acknowledgments
Our heartfelt appreciation goes out to Dilla University’s student service director and registrar’s office for their invaluable assistance in acquiring crucial data about the study area. We extend our warmest gratitude to the dedicated participants who volunteered their time and insight to this research.
Footnotes
Author contributions: In a collaborative effort, all authors conceived the study, gathered and analyzed data, drafted and revised the report, and equally contributed to design and statistical analysis.
Availability of data and materials: All data generated or analyzed during this study is included in this published article. The data set of the current study is available from the corresponding author upon reasonable request.
The authors declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.
Funding: The authors received no financial support for the research, authorship, and/or publication of this article.
Ethical approval and consent to participation: Ethical approval was obtained from the Institutional Review Board (IRB) of Dilla University College of Health Sciences and medicine (Ref No: duirb/112/22-05). After the purpose and objectives of the study had been informed, oral and written consent was obtained from each study participant before the start of the data collection. All necessary methods were carried out following the guidelines of the institutional and Declaration of Helsinki.
Informed consent: Verbal and written informed consent was obtained from all subjects before the study.
Consent for publication: Not applicable.
Trial registration: Not applicable.
ORCID iD: Selamawit Alemayehu https://orcid.org/0000-0002-7289-8185
Supplemental material: Supplemental material for this article is available online.
References
- 1. Angeloni G, Guerrini L, Masella P, et al. What kind of coffee do you drink? An investigation on effects of eight different extraction methods. Food Res Int 2019; 116: 1327–1335. [DOI] [PubMed] [Google Scholar]
- 2. McCants AE. (ed.). Porcelain for the poor: the material culture of tea and coffee consumption in eighteenth-century Amsterdam. In: Early modern things. London, UK: Routledge, 2021, pp. 388–411. [Google Scholar]
- 3. Adane A, Bewket W. Effects of quality coffee production by smallholders on local land use and land cover in Yirgacheffe, Southern Ethiopia. J Land Use Sci 2021; 16: 205–221. [Google Scholar]
- 4. Iriondo-DeHond A, Uranga JA, Del Castillo MD, et al. Effects of coffee and its components on the gastrointestinal tract and the brain–gut axis. Nutrients 2020; 13: 88. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5. Bell LN, Wetzel CR, Grand AN. Caffeine content in coffee as influenced by grinding and brewing techniques. Food Res Int 1996; 29: 785–789. [Google Scholar]
- 6. Wikoff D, Welsh BT, Henderson R, et al. Systematic review of the potential adverse effects of caffeine consumption in healthy adults, pregnant women, adolescents, and children. Food Chem Toxicol 2017; 109: 585–648. [DOI] [PubMed] [Google Scholar]
- 7. Win M, Das S, Deborah S, et al. Coffee modify pharmacokinetics of acetaminophen. EC Pharmacol Toxicol 2019; 7: 1091–1098. [Google Scholar]
- 8. Clark I, Landolt HP. Coffee, caffeine, and sleep: a systematic review of epidemiological studies and randomized controlled trials. Sleep Med Rev 2017; 31: 70–78. [DOI] [PubMed] [Google Scholar]
- 9. Richards G, Smith A. Caffeine consumption and self-assessed stress, anxiety, and depression in secondary school children. J Psychopharmacol 2015; 29: 1236–1247. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10. Pimpley V, Patil S, Srinivasan K, et al. The chemistry of chlorogenic acid from green coffee and its role in attenuation of obesity and diabetes. Prep Biochem Biotechnol 2020; 50: 969–978. [DOI] [PubMed] [Google Scholar]
- 11. Mahoney CR, Giles GE, Marriott BP, et al. Intake of caffeine from all sources and reasons for use by college students. Clin Nutr 2019; 38: 668–675. [DOI] [PubMed] [Google Scholar]
- 12. Jahrami H, Al-Mutarid M, Penson PE, et al. Intake of caffeine and its association with physical and mental health status among university students in Bahrain. Foods 2020; 9: 473. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13. Alfawaz HA, Khan N, Yakout SM, et al. Prevalence, predictors, and awareness of coffee consumption and its trend among Saudi female students. Int J Environ Res Public Health 2020; 17: 7020. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14. Sane RM, Jadhav PR, Subhedar SN. The acute effects of decaffeinated versus caffeinated coffee on reaction time, mood and skeletal muscle strength. J Basic Clin Physiol Pharmacol 2019; 30. [DOI] [PubMed] [Google Scholar]
- 15. Zhou A, Hyppönen E. Long-term coffee consumption, caffeine metabolism genetics, and risk of cardiovascular disease: a prospective analysis of up to 347,077 individuals and 8368 cases. Am J Clin Nutr 2019; 109: 509–516. [DOI] [PubMed] [Google Scholar]
- 16. Robinson D, Gelaye B, Tadesse MG, et al. Daytime sleepiness, circadian preference, caffeine consumption and khat use among college students in Ethiopia. J Sleep Disord Treat Care 2013; 3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17. Meressa K, Mossie A, Gelaw Y. Effect of substance use on academic achievement of health officer and medical students of Jimma University, Southwest Ethiopia. Ethiop J Health Sci 2009; 19: 155–163. [Google Scholar]
- 18. Handino TD, D’Haese M, Demise F, et al. De-commoditizing Ethiopian coffees after the establishment of the Ethiopian Commodity Exchange: an empirical investigation of smallholder coffee producers in Ethiopia. Int Food Agribusiness Manag Rev 2019; 22: 499–518. [Google Scholar]
- 19. Sereke-Brhan H. Coffee, culture, and intellectual property: lessons for Africa from the Ethiopian fine coffee initiative. Boston University Frederick S. Pardee Center for the Study of the Longer, 2010. [Google Scholar]
- 20. Bucher J, Fitzpatrick D, Swanson AG, et al. Caffeine intake habits and the perception of its effects on health among college students. Health Care Manag 2019; 38: 44–49. [DOI] [PubMed] [Google Scholar]
- 21. AlSharif SM, Al-Qathmi MS, Baabdullah WM, et al. The effect of caffeinated beverages on sleep quality in college students. Saudi J Intern Med 2018; 8: 43–48. [Google Scholar]
- 22. Kharaba Z, Sammani N, Ashour S, et al. Caffeine consumption among various university students in the UAE, exploring the frequencies, different sources and reporting adverse effects and withdrawal symptoms. J Nutr Metab 2022; 2022: 5762299. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23. Lone A, Alnawah AK, Hadadi AS, et al. Coffee consumption behavior in young adults: exploring motivations, frequencies, and reporting adverse effects and withdrawal symptoms. Psychol Res Behav Manag 2023: 3925–3937. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24. Topik S. Coffee as a social drug. Cult Crit 2009; 71: 81–106. [Google Scholar]
- 25. Berman S. Religious Coffee Drinkers. https://artscimedia.case.edu/wp-content/uploads/sites/93/2016/05/05140929/USEM-43-final.pdf
- 26. American Psychiatric Association. Diagnostic and statistical manual of mental disorders. Washington, DC: American Psychiatric Association, 2022. [Google Scholar]
- 27. Ágoston C, Urbán R, Richman MJ, et al. Caffeine use disorder: an item-response theory analysis of proposed DSM-5 criteria. Addict Behav 2018; 81: 109–116. [DOI] [PubMed] [Google Scholar]
- 28. Addicott MA. Caffeine use disorder: a review of the evidence and future implications. Curr Addict Rep 2014; 1: 186–192. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29. WHO ASSIST Working Group. The alcohol, smoking and substance involvement screening test (ASSIST): development, reliability and feasibility. Addiction 2002; 97: 1183–1194. [DOI] [PubMed] [Google Scholar]
- 30. Humeniuk R, Henry-Edwards S, Ali R, et al. The alcohol, smoking and substance involvement screening test (ASSIST): manual for use in primary care, 2010. World Health Organization. https://apps.who.int/iris/handle/10665/44320 [Google Scholar]
- 31. Humeniuk R, Ali R, Babor TF, et al. Validation of the alcohol, smoking and substance involvement screening test (ASSIST). Addiction 2008; 103: 1039–1047. [DOI] [PubMed] [Google Scholar]
- 32. John WS, Zhu H, Greenblatt LH, et al. Recent and active problematic substance use among primary care patients: results from the alcohol, smoking, and substance involvement screening test in a multisite study. Subst Abus 2021; 42: 487–492. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33. Hjemsæter AJ, Bramness JG, Drake R, et al. Mortality, cause of death and risk factors in patients with alcohol use disorder alone or poly-substance use disorders: a 19-year prospective cohort study. BMC Psychiatry 2019; 19: 101. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34. Felitti VJ, Anda RF, Nordenberg D, et al. Reprint of: relationship of childhood abuse and household dysfunction to many of the leading causes of death in adults: the adverse childhood experiences (ACE) study. Am J Prevent Med 2019; 56: 774–786. [DOI] [PubMed] [Google Scholar]
- 35. Slavova G, Georgieva V. World production of coffee imports and exports in Europe, Bulgaria and USA. Trakia J Sci 2019; 17: 619–626. [Google Scholar]
- 36. Gross G, Maruani J, Vorspan F, et al. Association between coffee, tobacco, and alcohol daily consumption and sleep/wake cycle: an actigraphy study in euthymic patients with bipolar disorders. Chronobiol Int 2020; 37: 712–722. [DOI] [PubMed] [Google Scholar]
- 37. van Dam RM, Hu FB, Willett WC. Coffee, caffeine, and health. N Engl J Med 2020; 383: 369–378. [DOI] [PubMed] [Google Scholar]
- 38. Volkow ND, Wang GJ, Fowler JS, et al. Addiction: decreased reward sensitivity and increased expectation sensitivity conspire to overwhelm the brain’s control circuit. Bioessays 2010; 32: 748–755. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39. Diana M. The dopamine hypothesis of drug addiction and its potential therapeutic value. Front Psychiatry 2011; 2: 64. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40. Reyes CM, Cornelis MC. Caffeine in the diet: country-level consumption and guidelines. Nutrients 2018; 10: 1772. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41. Poole R, Kennedy OJ, Roderick P, et al. Coffee consumption and health: umbrella review of meta-analyses of multiple health outcomes. BMJ 2017; 359: j5024. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42. Jee HJ, Lee SG, Bormate KJ, et al. Effect of caffeine consumption on the risk for neurological and psychiatric disorders: sex differences in human. Nutrients 2020; 12:3080. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43. Bae JH, Park JH, Im SS, et al. Coffee and health. Integr Med Res 2014; 3: 189–191. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44. Alebachew W, Semahegn A, Ali T, et al. Prevalence, associated factors and consequences of substance use among health and medical science students of Haramaya University, eastern Ethiopia, 2018: a cross-sectional study. BMC Psychiatry 2019; 19: 343. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45. Squeglia LM, Jacobus J, Tapert SF. The influence of substance use on adolescent brain development. Clin EEG Neurosci 2009; 40: 31–38. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Supplemental material, sj-docx-1-smo-10.1177_20503121241235455 for Problematic coffee use and associated factors among medical and health science students in Dilla University, Ethiopia by Chalachew Kassaw, Rediet Regasa, Misrak Negash, Amare Alemwork, Lulu Abebe, Solomon Yimer, Tamrat Anbesaw and Selamawit Alemayehu in SAGE Open Medicine