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Depression

Early Detection of Postpartum Depression: A Machine Learning Model’s Promise

Postpartum depression (PPD) affects up to 15 percent of individuals after childbirth. Early identification of patients at risk of PPD could improve proactive mental health support. Researchers developed a machine learning model that can evaluate patients’ PPD risk using readily accessible clinical and demographic factors. Findings demonstrate the model’s promising predictive capabilities.

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Early Detection of Postpartum Depression: A Machine Learning Model’s Promise

Postpartum depression (PPD) affects up to 15 percent of individuals after childbirth. Identifying patients at risk early on can significantly improve mental health support during this critical period. Researchers from Mass General Brigham have developed a machine learning model that evaluates patients’ PPD risk using readily accessible clinical and demographic factors.

According to lead author Mark Clapp, MD, MPH, “Postpartum depression is one of the biggest challenges parents may face after childbirth.” Symptoms often go unnoticed until postpartum visits six-to-eight weeks later. To combat this delay, the researchers designed a model that only requires information from electronic health records at the time of delivery.

The model weighs and integrates complex variables to accurately evaluate PPD risk. In a cohort of 29,168 pregnant patients, 9 percent met the study’s criteria for PPD in six months following delivery. The researchers used data from approximately half of these patients to train the model and found that it was effective in ruling out PPD in 90 percent of cases.

The model showed promise in predicting PPD: nearly 30 percent of those predicted to be high risk developed PPD within six months after delivery. This is about two to three times better than estimating based on general population risk. Further analyses revealed that the model performed similarly regardless of race, ethnicity, and age at delivery.

Scores from the Edinburgh Postnatal Depression Scale acquired in the prenatal period improved the predictive capabilities of the model. The researchers are prospectively testing the model’s accuracy and working with patients, clinicians, and stakeholders to determine how information derived from the model might best be incorporated into clinical practice.

“This is exciting progress toward developing a predictive tool that, paired with clinicians’ expertise, could help improve maternal mental health,” Clapp said. “With further validation, we hope to achieve earlier identification and ultimately improved mental health outcomes for postpartum patients.”

Depression

The Unseen Toll of the Pandemic: How Stress and Isolation May Be Aging Your Brain

Even people who never caught Covid-19 may have aged mentally faster during the pandemic, according to new brain scan research. This large UK study shows how the stress, isolation, and upheaval of lockdowns may have aged our brains, especially in older adults, men, and disadvantaged individuals. While infection itself impacted some thinking skills, even those who stayed virus-free showed signs of accelerated brain aging—possibly reversible. The study highlights how major life disruptions, not just illness, can reshape our mental health.

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The COVID-19 pandemic has left an indelible mark on humanity, but its impact may go beyond the physical toll of the virus itself. A recent study suggests that even those who never contracted COVID-19 may have experienced accelerated brain aging due to the stresses and disruptions caused by the pandemic.

Led by experts at the University of Nottingham, the research team analyzed longitudinal brain scans from nearly 1,000 healthy adults, taken as part of the UK Biobank study. Some participants had scans before and after the pandemic, while others only had pre-pandemic scans. Using advanced imaging and machine learning, the researchers estimated each person’s “brain age” – how old their brain appeared to be compared to their actual age.

The findings were striking: people who lived through the pandemic showed signs of faster brain aging over time than those scanned entirely before it. The changes were most noticeable in older individuals, men, and those from more disadvantaged backgrounds. Notably, only participants who were infected with COVID-19 between their scans showed a drop in certain cognitive abilities, such as mental flexibility and processing speed.

“This study reminds us that brain health is shaped not only by illness but by our everyday environment,” said Dorothee Auer, Professor of Neuroimaging and senior author on the study. “The pandemic put a strain on people’s lives, especially those already facing disadvantage. We can’t yet test whether the changes we saw will reverse, but it’s certainly possible, and that’s an encouraging thought.”

Stress, isolation, and global disruption may have left their mark on people’s minds, leading to accelerated brain aging. However, the study highlights the possibility of reversibility, offering a glimmer of hope for those affected. The pandemic has taught us that even in the face of adversity, our brains can adapt and potentially recover – a testament to the resilience of the human spirit.

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ADD and ADHD

Breaking the Cycle: How ADHD and Insomnia Can Intersect to Affect Quality of Life

Struggling to sleep might be the hidden reason why adults with ADHD traits often feel less satisfied with life. New research reveals a strong link between insomnia and reduced well-being in people with ADHD symptoms, suggesting a vicious cycle where poor sleep worsens attention and emotional issues, and vice versa.

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Are you struggling to sleep at night, feeling restless and unfocused during the day? Do you find it hard to concentrate on tasks or activities that normally bring you joy? You’re not alone. Research suggests that adults with Attention Deficit Hyperactivity Disorder (ADHD) traits are more likely to experience insomnia, which can exacerbate their symptoms.

A recent study published in BMJ Mental Health found a strong link between ADHD traits, insomnia severity, and reduced life satisfaction. The researchers analyzed data from over 1,300 adult participants who completed an online survey about ADHD traits, sleep disturbances, circadian factors, depression, and quality of life. Their findings revealed that:

* Adults with higher ADHD traits reported worse depression, more severe insomnia, lower sleep quality, and a preference for going to bed and waking up later.
* Insomnia severity predicted a lower quality of life, suggesting that it may be a key factor in the vicious cycle between ADHD and reduced well-being.

The study’s lead author, Dr. Sarah L. Chellappa, notes that “sleep disruption can impact neurobehavioral and cognitive systems, including attention and emotional regulation.” This underscores the importance of addressing insomnia in individuals with ADHD traits.

Professor Samuele Cortese, a co-author on the paper, emphasizes the need for further research to understand this complex interplay between ADHD and insomnia. He suggests that targeting insomnia complaints through therapies like Cognitive Behavioral Therapy for Insomnia (CBT-I) or Sleep Restriction therapy may help improve the quality of life for individuals with higher ADHD traits.

While the study’s findings are promising, it’s essential to remember that every individual is unique, and addressing insomnia requires a personalized approach. By acknowledging the intersection of ADHD and insomnia, we can begin to break this vicious cycle and work towards improving overall well-being.

If you or someone you know struggles with ADHD and insomnia, consider consulting a healthcare professional for guidance on managing symptoms and improving quality of life.

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Anxiety

The Why Behind Exercise Matters More Than You Think

Movement helps your mood, but it’s not one-size-fits-all. Exercising for fun, with friends, or in enjoyable settings brings greater mental health benefits than simply moving for chores or obligations. Researchers emphasize that context — who you’re with, why you’re exercising, and even the weather — can make or break the mood-boosting effects.

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The relationship between exercise and mental health has been widely researched, but a recent study from the University of Georgia suggests that it’s not just the physical movement itself that affects mental well-being. Instead, it’s the why, where, and how you exercise that makes all the difference.

Historically, research on physical activity has focused on the length and intensity of exercise sessions, with little attention paid to the context in which they take place. However, this approach may be oversimplifying the complex relationship between exercise and mental health. As co-author Patrick O’Connor explains, “The ‘dose’ of exercise has been the dominant way researchers have tried to understand how physical activity might influence mental health, while often ignoring whether those minutes were spent exercising with a friend or as part of a game.”

Leisure-time physical activity, such as going for a run, taking a yoga class, or biking for fun, has been shown to correlate with better mental health outcomes. However, these benefits may vary significantly depending on the environment and circumstances surrounding the activity. For example, exercising alone in a gym may have different effects than working out with friends in a park.

Multiple studies have found that people who engage in regular leisure-time physical activity tend to report lower levels of depression and anxiety. However, it’s less clear whether other forms of physical activity, such as cleaning the house or working for a lawn care company, have similar benefits.

The context of exercise can also play a significant role in its impact on mental health. As O’Connor notes, “If you do the exact same exercise but miss the goal and people are blaming you, you likely feel very differently.” This highlights the importance of considering not only the physical activity itself but also the social and emotional aspects surrounding it.

Randomized controlled trials have shown that adopting regular exercise routines can boost mental health, especially for individuals with existing mental health disorders. However, these studies were typically based on small, short-term, and homogenous samples, so their results may not be generalizable to larger, more diverse groups.

The average effects of exercise on mental health are small across all the randomized controlled studies, partly because most of them focused on people who were not depressed or anxious. This suggests that larger- and longer-term controlled studies are needed to make a compelling case for whether exercise does, or does not, truly impact mental health.

Ultimately, understanding contextual factors is crucial in determining the impact of exercise on mental health. As O’Connor concludes, “If we’re trying to help people’s mental health with exercise, then not only do we need to think about the dose and the mode, we also need to ask: What is the context?” By considering these factors, researchers can develop more effective strategies for promoting mental well-being through physical activity.

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