Blue Monday is the name given to a day in January (typically the third Monday of the month) by former Cardiff University health psychologist [1] and Post-Graduate Medical and Dental tutor Cliff Arnall in 2005. [2] [3] [4] It is said by a UK travel company, Sky Travel, to be the most depressing day of the year. It takes into account weather conditions and thus only applies to the Northern Hemisphere.
Some have dismissed the idea as pseudoscience. [5] Others, including the Samaritans, have used Blue Monday to facilitate talk about mental health. [6]
The date is generally reported as falling on the third Monday in January, [7] but also on the second or fourth Monday. [7] The first such date declared was 24 January in 2005 as part of a Sky Travel press release. [8]
The formula uses six factors, including: weather conditions, debt level (the difference between debt accumulated and ability to pay), time since Christmas, time since New Year's resolutions have been broken, low motivational levels, and the feeling of a need to take action.
Blue Monday Formula: Empirical Evidence and Scientific Basis
The Blue Monday formula is a psychosocial framework developed by Cardiff University psychologist Cliff Arnall in 2005 [9] [10] to identify and explain a confluence of factors contributing to low mood and psychological distress typically observed in mid-to-late January. While originally presented as a mathematical formula, [8] the concept has evolved into an evidence-based heuristic model supported by peer-reviewed research across multiple disciplines including clinical psychology, chronobiology, behavioural economics, and public health.
Formula Structure
The Blue Monday formula is expressed as:
Where:
Empirical Evidence for Core Factors
Weather, Light Exposure, and Seasonality (W)
The influence of reduced light exposure on seasonal mood disruption is well established in clinical literature. A 2025 meta-analysis by Wan et al. (2025) [11] demonstrated that white-light phototherapy produced superior clinical effects in reducing Seasonal Affective Disorder (SAD) symptoms compared to other wavelengths, establishing a direct therapeutic link between light exposure and symptom relief.
Raza et al. (2024) [12] conducted a within-individual analysis observing small-to-medium associations between higher daytime light exposure in winter and lower probability of depressive symptoms across various populations. A clinical review by Munir (2024) [13] provides additional support, detailing diagnostic criteria for SAD and confirming robust patient response to light therapy treatments.
Financial Debt and Payment Capacity (D-d)
Research consistently demonstrates a bidirectional relationship between unsecured debt and mental health outcomes. Bhugra and Ventriglio (2024) [14] conducted a narrative review emphasizing that debt significantly increases risk for stress-related outcomes, anxiety, and depression.
The Money and Mental Health Policy Institute (2024) [15] reported a spike in debt advice-seeking service utilization specifically in January in the United Kingdom, reinforcing the temporal relationship between post-Christmas financial difficulties and mental health declines. Foundational longitudinal research by Sweet et al. (2013) [16] involving 8,400 US adults demonstrated that unsecured debt is associated with increased depressive symptoms independent of income, with regression analyses showing higher odds of depression corresponding to rising debt levels.
Post-Holiday Timing (T)
Research indicates a rebound effect wherein mood declines following the conclusion of holiday festivities. Schneider et al. (2023) [17] conducted a systematic review and single-centre analysis finding that while psychiatric hospitalizations decreased during the Christmas period, evidence supported a rebound in dysphoria and psychiatric presentations after the holidays. This pattern was previously documented by Sansone and Sansone (2011), [18] who identified a post-holiday "letdown" following decreased emergency psychiatric utilization around Christmas.
Failed New Year's Resolutions (Q)
Empirical data consistently show high attrition rates for New Year's resolutions. Norcross and Vangarelli (1988) [19] tracked 200 resolution-makers and found that only 77% maintained their resolution for a single week, with rapid early failure rates. The psychological impact of failed resolutions contributes to feelings of inadequacy and low mood during the January period.
Motivational Levels and Energy (M)
Reduced energy and motivation are linked to seasonal and circadian disruption. Dollish et al. (2023) [20] provided mechanistic evidence demonstrating that chronobiological disruptions -including reduced daylight and evening chronotypes - increase risk for depressive symptoms and low motivation, directly linking winter circadian changes to reduced motivational capacity.
A systematic review by Rizavas et al. (2023) [21] confirmed that seasonal effects act as a risk factor that can exacerbate symptoms and reduce motivation in vulnerable individuals.
Need to Take Action and Intention-Action Gap (NA)
The perceived gap between intended behavioural change and actual behaviour creates psychological discomfort. Experimental work by Elliot and Devine (1994) [22] demonstrated that cognitive dissonance - the discrepancy between one's goals and current behaviour - causes negative affect and motivates corrective action, which can amplify negative psychological symptoms.
Gollwitzer and Sheeran (2006) [23] conducted a meta-analysis finding that forming concrete implementation intentions ("if X, then I will do Y") significantly increases goal attainment compared to setting goals alone, suggesting practical interventions to address this factor.
Academic Assessment and Practical Utility
The convergence of six distinct, empirically supported psychosocial and biological factors provides a heuristic framework for understanding population-level mood variations observed in early-to-mid January. The Blue Monday concept functions not as a deterministic equation but as a practical risk model that allows for targeted, evidence-based intervention.
Core components include the biological impact of reduced winter light and circadian disruption (W, M), which contributes to low motivation and SAD symptoms. The model highlights immediate psychosocial stressors including post-holiday unsecured debt (D-d) - robustly linked to increased depressive and anxiety outcomes - and the failure of New Year's resolutions (Q), a widely documented phenomenon. The timing is reinforced by the post-holiday letdown effect (T) and the psychological burden of the intention-action gap (NA), where perceived need to change causes distress.
Practical applications of this model include deploying light therapy interventions, establishing financial advice pathways, reframing goals using approach-oriented strategies, and structuring specific implementation intentions to bridge the motivation gap, thereby proactively addressing the confluence of risks before mental health declines occur.
The 2005 press release [8] and a 2009 press release:
where W = weather, D = debt, d = monthly salary, T = time since Christmas, Q = time since the failure of new year's resolutions, M = low motivational levels, and Na = the feeling of a need to take action. No units are defined; the lack of any explanation for what is meant by "weather" and "low motivational levels" means the dimensional homogeneity of the resulting formula cannot be assessed or verified, rendering it meaningless.
One relationship used by Arnall in 2006 was: [24]
where Tt = travel time; D = delays; C = time spent on cultural activities; R = time spent relaxing; ZZ = time spent sleeping; St = time spent in a state of stress; P = time spent packing; Pr = time spent in preparation. Again, units are not defined; as all the factors involve time, dimensional analysis of the "formula" shows that it violates the fundamental property of dimensional homogeneity and is thus meaningless.
Is Monday the most demotivating, peak stress, low mood day of the week?
A) Biological / Physiological Stress Markers
B) Mood over the working week
Based on peer-reviewed affect-psychology studies and the so-called 'Blue Monday' effect there is moderate support for Monday being the best candidate for the 'worst' or most 'demotivating' day of the week. This is because people tend to report more negative mood, less pleasure, and a greater sense of being overwhelmed on Mondays. [32]
British science writer Ben Goldacre has observed that Arnall's equations "fail even to make mathematical sense on their own terms", pointing out that under the 2006 equation, packing for ten hours and preparing for 40 will always guarantee a good holiday, and that "you can have an infinitely good weekend by staying at home and cutting your travel time to zero". [24] Dean Burnett, a neuroscientist who has worked in the Psychology department of Cardiff University, described the work as "farcical" with "nonsensical measurements", in 2013. [33]
In 2016, Arnall claimed to have attempted to "overturn" his "theory" by visiting the Canary Islands; his claim was publicised by the Canary Islands Tourism Board. [34]
This date was published in a press release under the name of Cliff Arnall, who was at the time a Research Associate in Psychology with University Hospital Wales (UHW), Department of Obstetrics & Gynaecology [35] and psychology tutor and psychologist at the Centre for Lifelong Learning [36] , a Further Education centre attached to Cardiff University. The Guardian columnist Ben Goldacre reported that the press release was delivered substantially pre-written to a number of academics via public relations agency Porter Novelli, along with an offer of money to those who offered to put their names to it. [24] A statement later printed in The Guardian sought to distance leaders of Cardiff University from Arnall: "Cardiff University has asked us to point out that Cliff Arnall … was a former part-time tutor at the university but left in February." [37]
Variations of the story have been repeatedly reused by other companies in press releases, with 2014 seeing Blue Monday invoked by legal firms and retailers of bottled water and alcoholic drinks. [38] Some versions of the story purport to analyse trends in social media posts to calculate the date. [38]
In 2018, Arnall told a reporter at the Independent newspaper that it was "never his intention to make the day sound negative", but rather "to inspire people to take action and make bold life decisions". It was also reported that he was working with Virgin Atlantic and Virgin Holidays, having "made it his mission to challenge some of the negative news associated with January and to debunk the melancholic mind-set of 'Blue Monday'". [39]
Arnall also says, in a press release commissioned by Wall's ice cream, [40] that he has calculated the happiest day of the year – in 2005, 24 June, [41] in 2006, 23 June, [42] in 2008, 20 June [43] and in 2010, 18 June. [44] So far, this date has fallen close to Midsummer in the Northern Hemisphere (June 21 to 24).
{{cite web}}: CS1 maint: multiple names: authors list (link)