Niveles de estrés, ansiedad y depresión en la primera fase del brote del COVID-19 en una muestra recogida en el norte de España

On March fourteenth, 2020, Spain shut its doors. Every household, every person was confined, movement was forbidden, and a state of alarm was declared from Madrid outward. In the Basque Country in the north, a research team led by Naiara Ozamiz-Etxebarria was already asking a question that most governments weren't considering: not how many people were infected, but how everyone else was doing psychologically, right now, in those first days, before the weight of weeks had accumulated. That question produced a dataset that is unusual precisely because of its timing. They captured something almost impossible to get: a genuine baseline, collected in real time, as a population crossed the threshold into a situation none of them had experienced before. The study ran from March eleventh to March fifteenth, 2020—four days that straddled the alarm declaration. The team distributed an online survey to roughly two thousand four hundred people through student platforms, social networks, and email lists. Just over a thousand responded, and after cleaning for missing data, nine hundred seventy-six adults remained in the final sample. To measure psychological symptoms, the researchers used the Depression, Anxiety and Stress Scale, abbreviated as DASS-21. This validated twenty-one item self-report tool scores each dimension separately and sorts people into bands: normal, mild, moderate, severe, and extremely severe. The sample skewed heavily female, at eighty-one percent. More than half, fifty-six point five percent, were between eighteen and twenty-five years old, mostly students. Only eight percent were sixty-one or older. Fourteen point nine percent reported a chronic illness. Those three characteristics—youth, gender composition, and chronic illness—turn out to matter a great deal. The headline finding is genuinely reassuring, up to a point. Overall symptom levels were low in the early days of the alarm. Most people fell into the normal or mild range across all three DASS dimensions. That is not nothing— a population entering an unprecedented lockdown was, in aggregate, holding together. But that aggregate masks real variation underneath. And that variation is where the paper's actual contribution resides. Start with age. The intuitive prediction going into a pandemic is that older people would be more psychologically distressed—they face greater medical risk and are the ones most likely to die. Ozamiz-Etxebarria and colleagues found the opposite. The youngest group, those aged eighteen to twenty-five, reported the highest mean scores across all three dimensions. For depression, their mean was zero point four one compared to zero point two three for the group over sixty-one. For stress, the youngest scored zero point three five while the oldest scored zero point two two. The paper describes this finding as "against expectations" and points to a few possible explanations: the youngest cohort was largely students, abruptly forced to adapt to remote learning with no warning; and younger people are more immersed in social media, where alarming and unfiltered information circulates without any check. That second point—the information environment—is something the team returns to in their recommendations. But first, the chronic illness finding, which runs in the expected direction. One hundred forty-five participants who reported a pre-existing condition consistently scored higher than those without one. For depression, the chronic illness group had a mean of zero point six zero, versus zero point three five for the healthy group. For stress, zero point five two against zero point three seven. And at the severe and extremely severe end of the spectrum, four point three percent of the chronic illness group fell into each of those two bands for depression—roughly double the rates in the non-chronic group. That makes intuitive sense: if you already know your body is vulnerable, news of a respiratory virus spreading rapidly through your country lands differently. The third predictor is the one with the most forward-looking implications. The researchers split the sample by whether participants completed the survey before or after March fourteenth—that is, before or after the formal confinement order. The before group had two hundred forty-one respondents, while the after group had seven hundred thirty-five. Anxiety in particular rose after the order: a before confinement mean of zero point four seven, against a post confinement mean of zero point seven one. Stress showed a similar rise, from zero point three four before to zero point five five after. The team is explicit—they expect these numbers to keep climbing the longer confinement continues. A snapshot taken in the first days already shows a detectable upward shift. What happens after two weeks? Four weeks? The study doesn't answer that—it was designed to catch the beginning, not the full arc—but the trajectory it identifies is the reason they argue so urgently for early intervention. To understand how notable these findings are in context, the paper places them alongside Chinese data collected about six weeks earlier, when the outbreak was hitting Wuhan and spreading to one hundred ninety-four cities across the country. That Chinese survey of one thousand two hundred ten respondents, also using the DASS-21, found sixteen point five percent with moderate-to-severe depressive symptoms, twenty-eight point eight percent with moderate-to-severe anxiety, and eight point one percent with moderate-to-severe stress. The Basque figures were lower in aggregate—but the Spanish data was collected right at the onset of that country's crisis, not weeks into it. What aligns between the two populations is the role of physical health: in China, poorer baseline health status was associated with higher psychological impact, and in the Basque Country, chronic illness drove the same pattern. The risk factor translates across populations and contexts, even when the absolute symptom levels differ. What Ozamiz-Etxebarria and colleagues recommend follows directly from what they found. If the youngest people are struggling most, educational institutions need psychological support programs—not just academic continuity plans, but actual mental health infrastructure. They point to Beijing's pandemic mental health manual and its crisis hotlines as a model worth considering. If people with chronic illnesses are more symptomatic, health services need to reach out proactively, not wait for those patients to seek help. And if social media is amplifying distress—particularly in younger people—then there's a public health argument for both media literacy programs and clearer official communication that doesn't leave an information vacuum for alarming content to fill. The study has real limitations, and the authors name them. It's cross-sectional—a single moment, not a longitudinal track. The sample was recruited online through specific networks, which means it's not nationally representative, and the gender skew toward women is significant. Women generally report higher rates of anxiety and depression in survey data, so the sample composition itself may inflate some of the aggregate symptom scores. But here's what makes the limitations less damning than they might be in a different context. This study wasn't designed to provide a nationally generalizable psychiatric census. It was designed to take a reading—fast, in real time—at the exact moment a society entered something unprecedented. And for that purpose, a large online sample collected across five days in March 2020 gives you something genuinely valuable: evidence that even in the early days, before the cumulative exhaustion of lockdown had set in, specific groups were already carrying a heavier load. Young people. People with chronic conditions. People living under the formal confinement order. A baseline only has value if someone acts on it. The paper closes by making that argument explicitly: psychological well-being is not a secondary concern to be addressed after the medical crisis. It's part of managing the crisis itself. The ability to process fear, to regulate emotion, to maintain some sense of safety—these are not soft outcomes. They shape whether people comply with public health measures, whether they seek care when they need it, and whether communities hold together under pressure. The door closed on March fourteenth. These researchers were already on the other side of it, measuring what that felt like. This lecture was created by ennepō. Go to https://ennepo.ai to Discover, Create and Follow the latest research in your field. Read when you can. Listen when you want to.