| Literature DB >> 27274415 |
Gareth Richards1, Andrew P Smith1.
Abstract
Background: Concerns have been expressed regarding the potential for caffeinated energy drinks to negatively affect mental health, and particularly so in young consumers at whom they are often targeted. The products are frequently marketed with declarations of increasing mental and physical energy, providing a short-term boost to mood and performance. Although a certain amount of evidence has accumulated to substantiate some of these claims, the chronic effects of energy drinks on mental health also need to be addressed.Entities:
Year: 2016 PMID: 27274415 PMCID: PMC4892220 DOI: 10.1089/jcr.2015.0033
Source DB: PubMed Journal: J Caffeine Res ISSN: 2156-5368

Flowchart showing the inclusion/exclusion of studies used in the systematic review of energy drinks and mental health.
Published Case Reports Relating Psychiatric Symptoms to Energy Drink Consumption
| Berigan[ | 25-year-old male | No prior diagnosis, no chronic medical issues, or family history of psychiatric problems | 6–8 (8oz) cans daily for previous 4 months | Anxiety, restlessness, fidgetiness, irritability, difficulties concentrating, problems falling asleep |
| Cerimele | 43-year-old male | Schizophrenia (Paranoid Type), and alcohol dependence (in full sustained remission) | Began use 8 weeks before hospitalization; use escalated to 8–10 (16oz) cans daily | Paranoia, religious delusions, agitation |
| Chelben | Case 1: 41-year-old female | Long history of psychiatric disorder; primarily Cluster B personality disorder with salient hysterical attributes, a tendency toward dramatization, impulsivity, and suicide attempts in response to relatively low-scale triggers | At least five a day (considerably more on some days) for 1 week; consumption stopped immediately before hospitalization due to running out of money | Severe psychomotor agitation, hypervigilance, verbal and physical aggression, impulsive behavior, low threshold for aggressive outbursts |
| Case 2: 38-year-old female | Comorbid bipolar disorder and borderline personality disorder, and a long history of multiple substance abuse | 5–10 energy drinks per day for 1 month | Moderate psychomotor agitation, increased alertness, insomnia impulsivity, self-mutilation ideation | |
| Case 3: 25-year-old male | Schizophrenia | 8–9 cans of energy drink at a time for once month | Psychomotor unease, hypervigilance, verbal aggression, intensive preoccupation with thoughts of death | |
| Machado-Vieira, | 36-year-old white male | Bipolar I (DSM-IV) | 1 week before episode drank three cans of Red Bull at night; 3 days later drank three more cans | Mania: euphoria, hyperactivity, insomnia, increased libido, irritability |
| Menkes[ | 27-year-old New Zealand Maori male | Schizophrenia; previously used alcohol and cannabis to excess; currently drank up to 10 cups of instant coffee per day | First incident: two Demon Shots an hour apart; Second incident: three Demon Shots in 15 min | First incident: unease, irritability, paranoia; Second incident: restlessness, withdrawal, argumentativeness, rapid pulse, insomnia |
| Rizkallah | Case 1: 40-year-old male | Bipolar Type I (DSM-IV), prior intranasal cocaine dependence | Up to six small cans a day for 1 week | Manic episode: elated mood, irritability, grandiosity |
| Case 2: 30-year-old female | Bipolar Type II (DSM-IV), intranasal cocaine dependence | Several incidents of using up to eight small cans a day during previous month; this pattern occurred every day for 2 weeks before admission | Irritability, flight of ideas, reduced need for sleep, heightened sexually oriented activities | |
| Case 3: 36-year-old male | Bipolar Type I (DSM-IV), cannabis dependence and cocaine abuse | Up to nine small cans almost daily for 2 weeks | Sleep disturbance, increased daytime sleepiness, irritability, anxiety, and depression | |
| Sharma[ | 32-year-old German male | No prior diagnoses, no psychiatric history (other than occasional mood swings). Family history of mental illness (postpartum depression and suicide) | Began drinking Red Bull 4 weeks before admission; one to two cans daily escalated to six to eight large (550 mL) cans daily during a week before hospitalization | Decreased sleep requirement, hyperactivity, pressured speech, racing thoughts, delusions of grandiosity and paranoia, risk-taking behavior, and lack of insight |
| Szpak and Allen[ | 28-year-old male professional boxer | No personal history of psychiatric problems, although one brother committed suicide, another died from a drug and alcohol overdose (unclear if intentional or not), and his father became an alcoholic | Drank 14 (250 mL) cans of energy drink in the day and evening (7 each consecutive day) | Acute suicidality following sleep deprivation |
Studies That Have Examined Associations Between Chronic Energy Drink Use and Mental Health Outcomes
| Arria | Depression (BDI) | Cross-sectional interviews and questionnaires (collected as part of a longitudinal study) | 1097 fourth year US university students | No difference in BDI scores between frequent users and either infrequent users or nonusers |
| Azagba, Langille and Asbridge[ | Depression (12-item version of the CES-D) | Cross-sectional survey (two-stage stratified cluster sample from three provinces) | 8210 public school students (grades 7, 9, 10, and 12) in Canada | Higher depression associated with frequent (once a month or more) use |
| Evren and Evren[ | Anxiety (PSTA) | Cross-sectional online questionnaire | 4957 10th grade students from 45 schools in 15 districts of Istanbul, Turkey (representative sample) | Frequency of energy drink use positively associated with anxiety. |
| Hofmeister | Stress (DASS-21) | Cross-sectional online questionnaire | 456 US veterinary students: University of Georgia (UOG; | UOG: energy drink users had higher anxiety than nonusers (no differences for stress or depression); regular users had higher stress than nonregular users (no differences for anxiety or depression) |
| Malinauskas | Jolt and crash episodes | Cross-sectional questionnaire | 496 randomly surveyed US students | 29% reported weekly jolt and crash episodes from energy drink use (significant dose-dependent effect) |
| Heart palpitations | 19% reported heart palpitations from energy drinks (marginally significant dose-dependent effect, | |||
| Peters | PTSD symptoms after Hurricane Ike | Cross-sectional questionnaire | 170 low-income at-risk African American/Latino male youth (9–19) from Houston, Texas | Initial associations between PTSD symptoms and 30-day prior use of antienergy drinks (significant) and energy drinks (marginally significant, |
| Multivariate: no associations between PTSD symptoms and energy drink or antienergy drink use | ||||
| Pettit and DeBarr[ | Stress (items from PSS) | Cross-sectional online questionnaire | 136 US undergraduate students | Significant positive relationships between perceived stress and three measures of energy drink consumption |
| Relationships between perceived stress and three other measures of energy drink consumption were not significant | ||||
| Richards | General health (WPQ single-item) | Cross-sectional questionnaire | 2030 British secondary school children | High consumption of caffeinated soft drinks/gum factor (comprising energy drinks, cola, and chewing gum) derived from the DABS was associated with low general health; remained significant after controlling for other dietary, demographic, and lifestyle factors |
| Richards and Smith[ | Stress (WPQ single-item) | Cross-sectional questionnaire | 2307 British secondary school children | Caffeine from energy drinks not associated with stress, anxiety, or depression at the univariate level |
| Anxiety (WPQ single-item) | Marginally significant associations between low caffeine consumption (0.1–133 mg/w) from energy drinks and high stress and anxiety after controlling for additional dietary, demographic, and lifestyle factors; no effects for high ≥133 mg/w consumption | |||
| Depression (WPQ single-item) | No association between caffeine from energy drinks and depression at the multivariate level | |||
| Ríos | Academic Stress (questionnaire Adapted from the Systemic Cognitive Model of Academic Stress) | Cross-sectional questionnaire (administered in August, participants asked to answer retrospectively for January–May). Representative stratified sample of medical-based subjects | 275 first- and second-year Puerto Rican students | Energy drink consumption not associated with academic stress |
| Soft drink and coffee consumption increased in times of high stress (although no effects regarding energy drinks, tea, and hot chocolate) | ||||
| 49% reported that consuming caffeinated beverages was useful for coping with stress, with 42.6% admitting they would probably use caffeinated beverages as a stress coping strategy in the future | ||||
| Rizvi | Increased consumption of caffeine/energy drinks (did not isolate energy drinks) | Cross-sectional questionnaire (although asked if participants had experienced increases/decreases in consumption in relation to pre-examination stress) | 226 second-year medical students in Karachi, Pakistan | Increased consumption of coffee, tea, and energy drinks in 38.94% of respondents at pre-examination time |
| Snipes | Anxiety sensitivity (SURPS) | Cross-sectional online questionnaire | 757 US undergraduate students | AmED users scored lower on anxiety sensitivity compared to alcohol-only users |
| Hopelessness (SURPS) | No difference between AmED users and alcohol-only users for hopelessness | |||
| Stasio | Anxiety (BAI) | 7-day retrospective survey (questionnaire) | 107 young adults (college student athletes, Reserve Officers Training Corps cadets, and psychology students) | Energy drink use explained 29% of variance in anxiety scores (after controlling for sleep quality, coffee, tea, and soft drink consumption) |
| Toblin | Sleep disruption due to stress | Cross-sectional questionnaire (although design is not formally stated) | 988 male US Army and Marine combat platoons deployed in Afghanistan in 2010 (initially 1249 surveyed using a cluster sample, 1000 consented to their data being used for research purposes, 988 answered energy drink question) | Those consuming ≥3/d more likely to report sleep disruption related to stress |
| No differences between 0, 1–2, and ≥3/d on level of concern regarding not getting enough sleep | ||||
| Those consuming ≥3/d more likely to report sleep disruption on more than half the nights in the past 30 days because of stress related to combat, personal life, and illness | ||||
| Trapp | Stress (DASS-21) | Cross-sectional questionnaire (population-based sample from the Western Australian Pregnancy Cohort (Raine) Study, a prospective cohort followed from gestation to early adulthood) | 1062 young adult Australians | Univariate: energy drink consumption associated with depression (total sample, and males, but not females), anxiety (total sample, males, females), and stress (total sample, males, females) |
| Anxiety (DASS-21) | Multivariate (most conservative model): only significant relationship was between energy drink use and anxiety in males | |||
| Depression (DASS-21) | Multivariate: ≥250 mL/d energy drink users (compared to 0 mL/d) had higher anxiety and stress (total sample, and males, but not females), but not depression | |||
| Multivariate: total sample: 100 mL/d energy drink consumption associated with anxiety and depression, but not stress | ||||
| Multivariate: males: 100 mL/d energy drink consumption associated with stress and anxiety, but not depression | ||||
| Multivariate: females: 100 mL/d energy drink consumption not associated with stress, anxiety, or depression | ||||
| Vilija and Romualdas[ | PTSD symptoms after lifetime traumatic experiences (IES-R) | Cross-sectional questionnaire (10 secondary schools randomly selected from 15 city districts in Kaunas, Lithuania) | 1747 eighth grade pupils from Lithuania | PTSD symptoms associated with energy drink use (controlled for gender, index trauma, physical activity, smoking, and sense of coherence) |
| Waits | Change in energy drink use from predeployment to deployment in Operation Enduring Freedom | Cross-sectional questionnaire | 183 deployed International Security Assistance Force personnel in Afghanistan | Increase in weekly consumption of Rip-It® (significant) and Tiger® (not significant) and decreases in Red Bull®, Monster®, and Rockstar® (not significant) |
| Overall change in total number of consumers of energy products from predeployment to deployment was not significant (although this also included other energy products, such as soda, coffee, Hydroxycut®), although number of servings per week increased from 16.6 (predeployment) to 24 (deployment) | ||||
| Walther | Well-being (based on questions from the HBSC, KIGGS, and MDMQ) | Cross-sectional online questionnaire | 500 adolescents and young adults (14–24 years old) from all provinces in Austria | Proportion with high well-being (55%) was higher in those who consumed energy drinks and alcohol once a week or less |
| Proportion with low well-being was higher in those who consumed energy drinks and alcohol two to six times a week, daily, or several times daily | ||||
| Wing | Mental health status (GHQ-12) | Cluster randomized controlled trial with 14 schools in Hong Kong | 3713 (1545 intervention, 2168 control) secondary school (7th–11th grade: 12–18-year-old) students from Hong Kong | Lower incidence of consuming energy drinks in the intervention group |
| Emotional problems (SDQ) | Improvement in GHQ-12 score in intervention group compared to control | |||
| Conduct problems (SDQ) | Improvements in total difficulty, conduct, and hyperactivity in intervention group compared to control | |||
| Peer relationships (SDQ) | No differences between groups for peer relationships, emotional problems, or prosocial behavior | |||
| Hyperactivity/inattention (SDQ) | ||||
| Prosocial behaviors (SDQ) | ||||
| Yudko and McNiece[ | Depression (BDI II) | Prospective quasiexperimental | 69 polydrug users (19 males, 50 females) receiving substance abuse treatment in a rural area of Hawaii | No association between having had an energy drink in the previous hour and BDI |
| State anxiety (STAI) | No association between having had an energy drink in the previous hour and state anxiety | |||
| Trait anxiety (STAI) | No association between having had an energy drink in the previous hour and trait anxiety |
This table does not include case reports (Table 1) or studies that only investigated short-term effects (see Acute effects of energy drink consumption on mood section).
AmED, alcoholic energy drink; BDI, Beck Depression Inventory; CES-D, The Center for Epidemiologic Studies Depression Scale Revised; DABS, Diet and Behavior Scale; DASS-21, Depression Anxiety Stress Scale-21; GHQ-12, General Health Questionnaire-12; HBSC, health behavior in school-aged children; IES-R, impact of event scale-revised; KIGGS, Study on the Health of Children and Adolescents in Germany; MDMQ, Multidimensional Mood Questionnaire; PSS, Perceived Stress Scale; PSTA, Psychological Screening Test for Adolescents; PTSD, post traumatic stress disorder; SDQ, Strength and Difficulties Questionnaire; STAI, State-Trait Anxiety Inventory; SURPS, Substance Use Risk Profile Scale; WPQ, Well-being Process Questionnaire.