Picture a university student who skips meals near the end of the month, dreads an unexpected car repair, and watches most of a part-time paycheck disappear into rent. Plenty of young people recognize that scenario, even in countries with free tuition and government loans. A question that has long interested researchers is whether this kind of financial pressure simply feels stressful in the moment, or whether it can predict something more serious down the road, like a diagnosable bout of depression.
A new study published in BJPsych Open examined exactly that question among Norwegian higher education students. The researchers found that students who frequently struggled with money were more likely to experience a major depressive episode a year later. Much of that connection, though, appeared to be tied to how distressed those students already were when the study began.
Why study money and mood in a wealthy country?
Børge Sivertsen of the Norwegian Institute of Public Health, along with Mari Hysing and Tormod Bøe of the University of Bergen, set out to test the link in a setting where you might least expect financial hardship to matter. Norway offers free tuition and relatively generous student support. Yet the cost of living is among the highest in Europe, and many students still report trouble covering basic expenses while taking on debt.
Earlier research on this topic has limits the authors wanted to address. Many studies relied on people rating their own mood on questionnaires rather than receiving a formal diagnosis, looked at a single point in time, or drew from just one school. That makes it hard to know whether financial strain comes before depression or simply travels alongside it.
The team also drew a careful distinction between two ideas that are easy to blur. Psychological distress refers to everyday stress and worry, which is common among students and does not by itself mean someone has a mental disorder. A major depressive episode is a clinical diagnosis based on specific criteria. The researchers treated baseline distress as a separate factor that could muddy the picture, since a student who is already distressed might both struggle financially and become depressed later.
How the study worked
The research drew on the Students’ Health and Wellbeing Study 2022, a national survey of full-time students in Norway. After filtering for age and complete data, the baseline sample included 53,362 students aged 18 to 35.
About a year later, a subset of these students completed a diagnostic follow-up. The researchers used a self-administered, web-based tool called the Composite International Diagnostic Interview, version 5.0, which assesses whether someone meets standard criteria for depression. A total of 10,460 students completed at least one part of this assessment. The team focused on whether a student had a current depressive episode in the 30 days before the follow-up, and they excluded people whose depression was only in the past so that the financial measures clearly came first.
At baseline, students answered questions about seven different aspects of their finances: general difficulty covering regular expenses, whether they could handle a surprise bill of 5,000 Norwegian kroner (roughly 450 euros or 500 dollars), annual income from work, the share of income spent on housing, whether they owned their home, whether they set money aside in savings, and whether they received financial help from family.
To gauge starting mental health, students completed the Hopkins Symptom Checklist, a 25-item questionnaire that screens for symptoms of anxiety and depression. The researchers then ran their analysis in three steps: first looking at the raw link between each financial measure and later depression, then adjusting for background factors like age, sex, and parental education, and finally adjusting for that baseline distress score. They also applied a statistical weighting technique to make the follow-up group resemble the larger survey population, reducing the chance that the results reflected who chose to participate.
What the numbers showed
Financial strain turned out to be widespread. Six percent of students reported often struggling to cover basic expenses, more than a quarter said they could not handle a 5,000-kroner emergency, and about 35 percent spent 60 percent or more of their income on housing.
The strongest and steadiest signal came from general financial difficulty. Students who often struggled to cover regular expenses were about 3.55 times as likely to experience a depressive episode a year later compared with students who never struggled. Adjusting for background characteristics barely changed that figure. But after accounting for baseline distress, the increased risk shrank to roughly 1.5 times. The pattern still held in a graded way: students reporting difficulty “sometimes” or “rarely” sat at moderately elevated risk, and those reporting it “often” sat highest.
A few other measures held up after full adjustment, though more modestly. Students who could not cover a surprise bill had about a 27 percent higher risk of later depression once everything was accounted for, and those who did not save money showed a similar elevation.
Several other indicators faded once baseline distress entered the picture. Heavy housing costs, not owning a home, and low income all looked risky in the early models but lost statistical significance after adjustment. That shift suggests these associations may have been largely explained by the distress students were already carrying. Receiving financial help from family showed no link to depression in any model, which the authors suggest may mean such help offers limited protection when economic strain continues anyway.
What it means, and what it doesn’t
The researchers are careful about cause and effect. Because financial measures were recorded before the depression diagnosis, the design supports the idea that strain came first. But they note they could not rule out that pre-existing mental health problems shaped both a student’s finances and their later depression, a possibility known as reverse causation. They also raise the chance of a two-way street, where depressive symptoms make it harder to hold a part-time job, deepening money troubles.
The authors interpret the pattern as evidence that persistent financial difficulty is the most reliable financial risk factor for student depression, with the other measures offering weaker and less stable support. They argue that free tuition and basic support may not be enough to shield every student from economic stress.
Their suggested responses fall into two camps: financial and psychological. On the financial side, they point to reviewing the adequacy of grants and subsidies, ensuring access to affordable student housing, and offering voluntary financial counseling or budgeting guidance as a low-cost addition to existing services. On the mental health side, they suggest that campus health services treat money problems as a relevant piece of context when assessing risk.
Some caveats are worth keeping in mind. The baseline response rate was modest at about 35 percent, raising the possibility that the most severely distressed students were underrepresented. The depression tool, while validated, was self-administered rather than delivered by a clinician. And a few financial measures, like home ownership and savings, may not apply neatly to most undergraduates. The savings question, for instance, did not separate students who could not save from those who simply chose not to.




