Proper "lying flat" is good for reducing cancer mortality

This wear is called adaptive load and refers to the cumulative effect
of pressure over time.
Dr.
Justin Xavier Moore, an epidemiologist at the Georgia School of Medicine and the Georgia Cancer Center, said: "As a response to external stressors, your body releases a stress hormone called cortisol, and once the stress is over, cortisol levels should go back
.
However, if you have a chronic, persistent psychosocial stressor that never allows you to 'relax', then it will wear and tear
on your body on a biological level.
”

Moore-led researchers conducted a retrospective analysis
of more than 41,000 people from the National Health and Nutrition Survey (NHANES) collected between 1988 and 2019.
The database included basic biological metrics for the participants—body mass index, diastolic and systolic blood pressure, total cholesterol, glycosylated hemoglobin (high levels of glycosylated hemoglobin indicate a risk of diabetes), albumin and creatinine (both indicators of kidney function), and C-reactive protein (an indicator of inflammation) — that the researchers used to determine adaptation load
.
People who score more than 3 points are classified as having a high adaptive load
.

Moore then cross-referenced these participants to national death indices maintained by the National Center for Health Statistics and the Centers for Disease Control and Prevention to determine who died of cancer and when
.

Moore and his colleagues wrote in the journal: "To date, in the currently nationally representative sample of American adults, research on the relationship between adaptive load and cancer has been very limited
.
Studying how adaptive load relates to cancer outcomes, and whether these relationships vary by race, may provide insights into
new ways to mitigate cancer disparities.
”

The researchers found that even without adjusting for any potential confounders, such as sociodemographics such as age, race, and gender, poverty-income ratios, and education levels, people with high adaptive loads were 2.
4 times more
likely to die of cancer than people with low adaptive loads.

Moore explains: "But you have to adjust
for the confounding factors.
We know that age, race, and gender vary in adaptation loads
.
”

In fact, in previous studies, he and his colleagues observed that when 50,671 individuals observed 30-year trends in adaptive loads, adults 40 and older had a more than
100 percent increased risk of developing high adaptive loads compared to adults under 30.
In addition, black and Latino adults had a higher risk of high adaptive load compared to whites, regardless of
the time period.
Much of this can be attributed to structural racism — such as difficulty in getting better educational opportunities or fair housing loans
, Moore said.

"If you were born in an environment where opportunities were very different from white men, for example, you were a black woman, your life trajectory would have to deal with more adversity
," he said.

Even with age control, the researchers found that people with high adaptive loads still had a 28 percent
increased risk of dying from cancer.
"This means that if you have two people of the same age, if one of them has a high adaptive load, they are 28 percent
more likely to die from cancer," Moore said.

Adjusting sociodemographic factors, including gender, ethnicity and education levels, with a high adaptive load leading to a 21 per cent increase; Further adjustment to the model's other risk factors, such as whether the participants smoked, whether they had had a heart attack, or whether they had previously been diagnosed with cancer or congestive heart failure, resulted in a 14 percent increase
.

Moore and colleagues further studied the relationship between
adaptation load and cancer mortality among various ethnic/ethnic groups, such as non-Hispanic blacks, non-Hispanic whites, and Hispanic adults.
However, when categorized by race, adaptive loads are not as strongly correlated
.
These findings can be explained
by the sheer size of the original sample.

Moore explains: "From an epidemiological perspective, when 41,000 people are observed, there are many cancer-related deaths
.
However, when you have fewer data points to measure, it is more difficult to determine the relationship between
x (non-steady-state load) and y (cancer death).
For example, limiting the sample to non-Hispanic blacks would mean that only a sample of 11,000 people would be analyzed, so the relationship may appear to be weakened or weakened
.
Race is so important because there are systemic factors that disproportionately affect people of color
.
"But even without considering race, the most important thing is the environment in which we live, work and play, in which you are rewarded for working more and sometimes seen as weak by giving yourself time, which can lead to high stress that can lead to the development of cancer and an increase
in morbidity and mortality.
"

In the United States, cancer is the second leading cause of death, with an estimated 1.
9 million cancer cases and nearly 609,000 deaths in 2021
.