Troubled kids at risk for heart disease

BROWN (US) — Children who experience trauma or distress in their home life have a moderately higher risk of developing coronary disease as adults.

“We often think about how the early family psychosocial environment influences the mental health of kids,” says Eric Loucks, assistant professor of epidemiology at Brown University. “The fact that it may be important for chronic diseases, like heart disease, hasn’t been thought of as much.

“In cardiovascular disease research right now there’s starting to be more and more interest in early life determinants of heart disease,” Loucks says. “That’s what this paper found. That early life family psychosocial environment had a small but significant association with 10-year risk for coronary heart disease.”


Specifically the study, published in the journal Psychosomatic Medicine, finds that for every extra point a study participant registered on a 21-point “risky family score,” their risk of CHD between the ages of 40 and 50 rose 1 percent.

For instance, if one man had a childhood that was 5 points worse on the scale than the average man in the study, his CHD risk over the next 10 years would be 5.36 percent compared to the average man’s 5.1 percent risk.

The risky family score comes from a seven-question survey that quizzed participants on how often various conditions, such as physical or verbal abuse or gestures of love and support, occurred in childhood. That information was considered alongside the Framingham risk algorithm, which uses physiological indicators to determine CHD risk 10 years out.

Men and women with higher risky family scores had higher CHD risk than people who had lower risky family scores but were similar otherwise. For example, women in the lowest risky family quartile had a 10-year CHD risk of 1.6 percent, while women in the highest quartile had a CHD risk of 1.8 percent. For men, the difference between the lowest quartile and the highest was 4.8 percent vs. 5.5 percent.

The new study probed the data more deeply to determine which aspects of health and lifestyle might connect, at least statistically, a bad childhood and shakier heart health.

Women with low education levels, low income, depressive symptoms, and anger may be mechanisms linking the risky family score with CHD risk. For men the only factor that seemed statistically significant as a potential mechanism was education.

The CHD risk factors (that were components of the Framingham risk algorithm) most strongly correlated with risky family score were smoking for men, and smoking and HDL cholesterol for women.

Gender differerences were also found when researchers studied which aspects of upbringing had the most significant effects. Among women, CHD score was most affected by physical abuse, verbal mistreatment, poor parental monitoring, and poor household organization and management. For men, abuse didn’t matter as much as neglect, in that only the latter two conditions (poor monitoring and organization) mattered to CHD risk.

“It’s not just the really extreme circumstances, such as abuse and neglect, but also maybe day-to-day things such as parental monitoring that seemed to be important,” Loucks says. “One of the big drivers was smoking. Think of a kid whose parents aren’t monitoring him so much. That could quite easily allow him to try smoking.

Smoking is highly addictive, and so can easily continue into adulthood. Smoking is one of the major risk factors for heart disease.”

More research is needed to determine how these particular family dynamics could ultimately contribute to CHD, Loucks says, but the emerging idea that growing up in a troubled household could lead to physical ills should be of interest to policymakers.

“We have all these programs to help at-risk families and we do that because it could influence kids’ mental health or development,” he says. “This kind of body of work is suggesting it may also influence their risk for chronic disease. This is one more reason why it’s important to think about helping at-risk kids.”

Researchers from McGill University, University of Pittsburgh, and the University of California, Los Angeles contributed to the study.

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