Social support and personal control are possibly the two most important factors that predict well-being, morbidity and mortality in adults.

Earlier studies have reported that perceived health status predicts subsequent mortality.

Similarly, for elderly patients admitted to hospital, low cholesterol may predict short-term mortality.

Rockall et al. identified independent risk factors in 1996 which were later shown to predict mortality accurately.

Plasma cytokine levels predict mortality in patients with acute renal failure.

Scores are summed to provide a total score to predict mortality.

Of the two, impaired glucose tolerance better predicts cardiovascular disease and mortality.

Protein C levels have long been noted to predict mortality in patients with sepsis.

Conversely, a number of studies found that baseline depression predicted poorer longer-term health status and mortality.

Social scientists have long known that lack of social ties predicts mortality.