Cognitive epidemiology

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Cognitive epidemiology is a field of research that examines the associations between intelligence test scores (IQ scores or extracted g-factors) and health, more specifically morbidity (mental and physical) and mortality. Typically, test scores are obtained at an early age, and compared to later morbidity and mortality. In addition to exploring and establishing these associations, cognitive epidemiology seeks to understand causal relationships between intelligence and health outcomes. Researchers in the field argue that intelligence measured at an early age is an important predictor of later health and mortality differences. [1] [2]

Contents

Overall mortality and morbidity

A strong inverse correlation between early life intelligence and mortality has been shown across different populations, in different countries, and in different epochs. [3] [4] [5]

A study of one million Swedish men found "a strong link between cognitive ability and the risk of death." [6] [7] [8] [9]

A similar study of 4,289 former US soldiers showed a similar relationship between IQ and mortality. [7] [8] [10]

The strong inverse correlation between intelligence and mortality has raised questions as to how better public education could delay mortality. [11]

There is a known positive correlation between socioeconomic position and health. A 2006 study found that controlling for IQ caused a marked reduction in this association. [12]

Research in Scotland has shown that a 15-point lower IQ meant people had a fifth less chance of seeing their 76th birthday, while those with a 30-point disadvantage were 37% less likely than those with a higher IQ to live that long. [13]

Another Scottish study found that once individuals had reached old age (79 in this study), it was no longer childhood intelligence or current intelligence scores that best predicted mortality but the relative decline in cognitive abilities from age 11 to age 79. They also found that fluid abilities were better predictors of survival in old age than crystallized abilities. [14]

The relationship between childhood intelligence and mortality has even been found to hold for gifted children, those with an intelligence over 135. A 15-point increase in intelligence was associated with a decreased risk of mortality of 32%. This relationship was present until an intelligence score of 163 at which point there was no further advantage of a higher intelligence on mortality risk. [15]

A meta-analysis of the relationship between intelligence and mortality found that there was a 24% increase in mortality for a 1SD (15 point) drop in IQ score. This meta-analysis also concluded that the association between intelligence and mortality was similar for men and women despite sex differences in disease prevalence and life expectancies. [16]

A whole population follow-up over 68 years showed that the association with overall mortality was also present for most major causes of death. The exceptions were cancers unrelated to smoking and suicide. [17]

There is also a strong inverse correlation between intelligence and adult morbidity. Long term sick leave in adulthood has been shown to be related to lower cognitive abilities, [18] as has likelihood of receiving a disability pension. [19]

Physical illness

Coronary heart disease

Among the findings of cognitive epidemiology is that men with a higher IQ have less risk of dying from coronary heart disease. [20] The association is attenuated, but not removed, when controlling for socio-economic variables, such as educational attainment or income. This suggests that IQ may be an independent risk factor for mortality. One study found that low verbal, visuospatial and arithmetic scores were particularly good predictors of coronary heart disease. [21] Atherosclerosis or thickening of the artery walls due to fatty substances is a major factor in heart disease and some forms of stroke. It has also been linked to lower IQ. [22]

Obesity

Lower intelligence in childhood and adolescence correlates with an increased risk of obesity. One study found that a 15-point increase in intelligence score was associated with a 24% decrease in risk of obesity at age 51. [23] The direction of this relationship has been greatly debated with some arguing that obesity causes lower intelligence, however, recent studies have indicated that a lower intelligence increases the chances of obesity. [24]

Blood pressure

Higher intelligence in childhood and adulthood has been linked to lower blood pressure and a lower risk of hypertension. [25]

Stroke

Strong evidence has been found in support of a link between intelligence and stroke, with those with lower intelligence being at greater risk of stroke. One study found visuospatial reasoning was the best predictor of stroke compared to other cognitive tests. Further this study found that controlling for socioeconomic variables did little to attenuate the relationship between visuospatial reasoning and stroke. [21]

Cancer

Studies exploring the link between cancer and intelligence have come to varying conclusions. A few studies, which were mostly small have found an increased risk of death from cancer in those with lower intelligence. [26] [27] Other studies have found an increased risk of skin cancer with higher intelligence. [27] [28] However, on the whole most studies have found no consistent link between cancer and intelligence. [28] [29]

Psychiatric

Bipolar disorder and intelligence

Bipolar disorder is a mood disorder characterized by periods of elevated mood known as mania or hypomania and periods of depression. Anecdotal and biographical evidence popularized the idea that those with bipolar disorder are tormented geniuses that are uniquely equipped with high levels of creativity and superior intelligence. [30] Bipolar disorder is relatively rare, affecting only 2.5% of the population, as it is also the case with especially high intelligence. The uncommon nature of the disorder and rarity of high IQ pose unique challenges in sourcing large enough samples that are required to conduct a rigorous analysis of the association between intelligence and bipolar disorder. [31] Nevertheless, there has been much progress starting from the mid-90s, with several studies beginning to shed a light on this elusive relationship. [32]

One such study examined individual compulsory school grades of Swedish pupils between the ages of 15 and 16 to find that individuals with excellent school performance had a nearly four times increased rate to develop a variation of bipolar disorder later in life than those with average grades. The same study also found that students with lowest grades were at a moderately increased risk of developing bipolar disorder with nearly a twofold increase when compared to average-grade students. [33]

A New Zealand study of 1,037 males and females from the 1972–1973 birth cohort of Dunedin suggests that lower childhood IQs were associated with an increased risk of developing schizophrenia spectrum disorders, major depression, and generalized anxiety disorder in adulthood; whereas higher childhood IQ predicted an increased likelihood of mania. This study only included eight cases of mania and thus should only be used to support already existing trends. [34]

In the largest study yet published analyzing the relationship between bipolar disorder and intelligence, Edinburgh University researchers looked at the link between intelligence and bipolar disorder in a sample of over one million men enlisted in the Swedish army during a 22-year follow-up period. Regression results showed that the risk of hospitalization for bipolar disorder with comorbidity to other mental health illnesses decreased in a linear pattern with an increase in IQ. However, when researchers restricted the analysis to men without any psychiatric comorbidity, the relationship between bipolar disorder and intelligence followed a J-curve.

Note: Illustrative graph only - not based on actual data points, but representative of established research on the relationship between IQ and Bipolar Disorders. Please refer to Gale for further information. Relationship between Bipolar Disorders and IQ.jpg
Note: Illustrative graph only – not based on actual data points, but representative of established research on the relationship between IQ and Bipolar Disorders. Please refer to Gale for further information.

These findings suggest that men of extremely high intelligence are at a higher risk of experiencing bipolar in its purest form, and demands future investigation of the correlation between extreme brightness and pure bipolar. [31]

Additional support of a potential association between high intelligence and bipolar disorder comes from biographical and anecdotal evidence, and primarily focus on the relationship between creativity and bipolar disorder. [35] Doctor Kay Redfield Jamison has been a prolific writer on the subject publishing several articles and an extensive book analyzing the relationship between the artistic temperament and mood disorders. [36] Although a link between bipolar disorder and creativity has been established, there is no confirming evidence suggesting any significant relationship between creativity and intelligence. [37] Additionally, even though some of these studies suggest a potential benefit to bipolar disorder in regards to intelligence, there is significant amount of controversy as to the individual and societal cost of this presumed intellectual advantage. Bipolar disorder is characterized by periods of immense pain and suffering, self-destructive behaviors, and has one of the highest mortality rates of all mental illnesses. [38]

Schizophrenia and cognition

Schizophrenia is chronic and disabling mental illness that is characterized by abnormal behavior, psychotic episodes and inability to distinguish between reality and fantasy. Even though schizophrenia can severely impair those with the disorder, there has been a great interest in the relationship of this disorder and intelligence.[ citation needed ] Interest in the association of intelligence and schizophrenia has been widespread partly stems from the perceived connection between schizophrenia and creativity, and posthumous research of famous intellectuals that have been insinuated to have had the illness. [39] Hollywood played a pivotal role popularizing the myth of the schizophrenic genius with the movie A Beautiful Mind that depicted the life story of Nobel Laureate, John Nash and his struggle with the illness.[ citation needed ]

Although stories of extremely bright individuals with schizophrenia such as that of John Nash do exist, they are the outliers and not the norm. Studies analyzing the association between schizophrenia and intelligence overwhelmingly suggest that schizophrenia is linked to lower intelligence and decreased cognitive functioning. Since the manifestation of schizophrenia is partly characterized by cognitive and motor declines, current research focuses on understanding premorbid IQ patterns of schizophrenia patients. [40]

In the most comprehensive meta-analysis published since the groundbreaking study by Aylward et al. in 1984, [41] researchers at Harvard University found a medium-sized deficit in global cognition prior to the onset of schizophrenia. The mean premorbid IQ estimate for schizophrenia samples was 94.7 or 0.35 standard deviations below the mean, and thus at the lower end of the average IQ range. Additionally, all studies containing reliable premorbid and post-onset IQ estimates of schizophrenia patients found significant decline in IQ scores when comparing premorbid IQ to post-onset IQ. [42] However, while the decline in IQ over the course of the onset of schizophrenia is consistent with theory, [43] some alternative explanations for this decline suggested by the researchers include the clinical state of the patients and/or side effects of antipsychotic medications. [42] [44]

A recent study published in March 2015 edition of the American Journal of Psychiatry suggests that not only there is no correlation between high IQ and schizophrenia, but rather that a high IQ may be protective against the illness. [45] Researchers from the Virginia Commonwealth University analyzed IQ data from over 1.2 million Swedish males born between 1951 and 1975 at ages 18 to 20 years old to investigate future risk of schizophrenia as a function of IQ scores. The researchers created stratified models using pairs of relatives to adjust for family clusters and later applied regression models to examine the interaction between IQ and genetic predisposition to schizophrenia. Results from the study suggest that subjects with low IQ were more sensitive to the effect of genetic liability to schizophrenia than those with high IQ and that the relationship between IQ and schizophrenia is not a consequence of shared genetic or familial-environmental risk factors, but may instead be causal. [45] [46]

Post-traumatic stress disorder and traumatic exposure

The Archive of General Psychiatry published a longitudinal study of a randomly selected sample of 713 study participants (336 boys and 377 girls), from urban and suburban settings. Of that group, nearly 76 percent had had at least one traumatic event. Those participants were assessed at age 6 years and followed up to age 17 years. In that group of children, those with an IQ above 115 were significantly less likely to have Post-Traumatic Stress Disorder as a result of the trauma, less likely to display behavioral problems, and less likely to experience a trauma. The low incidence of Post-Traumatic Stress Disorder among children with higher IQs was true even if the child grew up in an urban environment (where trauma averaged three times the rate of the suburb), or had behavioral problems. [47]

Other disorders

Some studies have found that higher IQ persons show a higher prevalence of Obsessive Compulsive Disorder, but a 2017 meta study found the opposite, that people with OCD had slightly lower average IQs. [48] [47] [49] [42] [50]

Substance abuse

Substance abuse is a patterned use of drug consumption in which a person uses substances in amounts or with methods that are harmful to themselves or to others. Substance abuse is commonly associated with a range of maladaptive behaviors that are both detrimental to the individual and to society. Given the terrible consequences that can transpire from abusing substances, recreational experimentation and/or recurrent use of drugs are traditionally thought to be most prevalent among marginalized strands of society. Nevertheless, the very opposite is true; research both in national and individual levels have found that the relationship between IQ and substance abuse indicates positive correlations between superior intelligence, higher alcohol consumption and drug consumption. [51]

Note: Illustrative graph only - not based on actual data points, but accurate to trends previously established between alcohol consumption and national IQ. For actual data points please refer to Belasen and Hafer 2013 publication. Alcohol IQ Graph.jpg
Note: Illustrative graph only – not based on actual data points, but accurate to trends previously established between alcohol consumption and national IQ. For actual data points please refer to Belasen and Hafer 2013 publication.

The relationship between childhood IQ scores and illegal drugs use by adolescence and middle age has been found. High IQ scores at age 10 are positively associated with intake of cannabis, cocaine (only after 30 years of age), ecstasy, amphetamine and polydrug and also highlight a stronger association between high IQ and drug use for women than men. [52] Additionally, these findings are independent of socio-economic status or psychological distress during formative years. A high IQ at age 11 was predictive of increased alcohol dependency later in life and a one standard deviation increase in IQ scores (15-points) was associated with a higher risk of illegal drug use. [53]

The counterintuitive nature of the correlation between high IQ and substance abuse has sparked a fervent debate in the scientific community with some researchers attributing these findings to IQ being an inadequate proxy of intelligence, while others fault employed research methodologies and unrepresentative data. [54] [55] [56] However, with the increased number of studies publishing similar results, overwhelming consensus is that the association between high IQ and substance abuse is real, statistically significant and independent of other variables. [57]

There are several competing theories trying to make sense of this apparent paradox. Doctor James White postulates that people with higher IQs are more critical of information and thus less likely to accept facts at face value. While marketing campaigns against drugs may deter individuals with lower IQs from using drugs with disjoint arguments or overexaggeration of negative consequences, people with a higher IQ will seek to verify the validity of such claims in their immediate environment. White also eludes to an often-overlooked problem of people with higher IQ, the lack of adequate challenges and intellectual stimulation. [58] White posits that high IQ individuals that are not sufficiently engaged in their lives may choose to forgo good judgment for the sake of stimulation. [59]

The most prominent[ citation needed ] theory attempting to explain the positive relationship between IQ and substance abuse; however, is the Savanna–IQ interaction hypothesis by social psychologist Satoshi Kanazawa. The theory is founded on the assumption that intelligence is a domain-specific adaptation that has evolved as humans moved away from the birthplace of human race, the savanna. Therefore, theory follows that as humans explored beyond the savannas, intelligence rather than instinct dictated survival. Natural selection privileged those who possessed high IQ while simultaneously favoring those with an appetite for evolutionary novel behaviors and experiences. [60] For Kanazawa, this drive to seek evolutionary novel activities and sensations translates to being more open and callous about experimenting with and/or abusing substances in modern culture.[ citation needed ]

Dementia

A decrease in IQ has also been shown as an early predictor of late-onset Alzheimer's disease and other forms of dementia. In a 2004 study, Cervilla and colleagues showed that tests of cognitive ability provide useful predictive information up to a decade before the onset of dementia. [61]

However, when diagnosing individuals with a higher level of cognitive ability, a study of those with IQs of 120 or more, [62] patients should not be diagnosed from the standard norm but from an adjusted high-IQ norm that measured changes against the individual's higher ability level.

In 2000, Whalley and colleagues published a paper in the journal Neurology, which examined links between childhood mental ability and late-onset dementia. The study showed that mental ability scores were significantly lower in children who eventually developed late-onset dementia when compared with other children tested. [63]

Alcohol

The relationship between alcohol consumption and intelligence is not straightforward. In some cohorts higher intelligence has been linked to a reduced risk of binge drinking. In one Scottish study higher intelligence was linked to a lower chance of binge drinking; however, units of alcohol consumed were not measured and alcohol induced hangovers in middle age were used as a proxy for binge drinking. [64] Several studies have found the opposite effect with individuals of higher intelligence being more likely to drink more frequently, consume more units and have a higher risk of developing a drinking problem, especially in women. [65]

Drugs

In U.S. study the link between drug intake and intelligence suggests that individuals with lower IQ take more drugs. [66] However, in the UK the opposite relationship has been found with higher intelligence being related to greater illegal drug use. [53]

Smoking

The relationship between intelligence and smoking has changed along with public and government attitudes towards smoking. For people born in 1921 there was no correlation between intelligence and having smoked or not smoked; however, there was a relationship between higher intelligence and quitting smoking by adulthood. [67] In another British study, high childhood IQ was shown to inversely correlate with the chances of starting smoking. [68]

Diet

One British study found that high childhood IQ was shown to correlate with one's chance of becoming a vegetarian in adulthood. [69] Those of higher intelligence are also more likely to eat a healthier diet including more fruit and vegetables, fish, poultry and wholemeal bread and to eat less fried food. [70]

Exercise

Higher intelligence has been linked to exercising. More intelligent children tend to exercise more as adults and to exercise vigorously. [27] [23] [65]

A study of 11,282 individuals in Scotland who took intelligence tests at ages 7, 9 and 11 in the 1950s and 1960s, found an "inverse linear association" between childhood intelligence and hospital admissions for injuries in adulthood. The association between childhood IQ and the risk of later injury remained even after accounting for factors such as the child's socioeconomic background. [71]

Socioeconomic status

Practically all indicators of physical health and mental competence favour people of higher socioeconomic status (SES). Social class attainment is important because it can predict health across the lifespan, where people from lower social class have higher morbidity and mortality. [72] SES and health outcomes are general across time, place, disease, and are finely graded up the SES continuum. Gottfredson [73] argues that general intelligence (g) is the fundamental cause for health inequality. The argument is that g is the fundamental cause of social class inequality in health, because it meets six criteria that every candidate for the cause must meet: stable distribution over time, is replicable, is a transportable form of influence, has a general effect on health, is measurable, and is falsifiable.[ citation needed ]

Stability: Any casual agent has to be persistent and stable across time for its pattern of effects to be general over ages and decades. [73] Large and stable individual differences in g are developed by adolescence and the dispersion of g in population's intelligence present in every generation, no matter what social circumstances are present. Therefore, equalizing socioeconomic environments does very little to reduce the dispersion in IQ. [74] The dispersion of IQ in a society in general is more stable, than its dispersion of socioeconomic status. [73]

Replicability: Siblings who vary in IQ also vary in socioeconomic success which can be comparable with strangers of comparable IQ. [75] Also, g theory [73] predicts that if genetic g is the principal mechanism carrying socioeconomic inequality between generations, then the maximum correlation between the parent and child SES will be near to their genetic correlation for IQ (.50).

Transportability: The performance [76] and functional literacy [77] studies both illustrated how g is transportable across life situations and it represents a set of largely generalizable reasoning and problem-solving skills. [78] G appear to be linearly linked to performance in school, jobs and achievements.

Generality: Studies [79] show that IQ measured at the age of 11 predicted longevity, premature death, lung and stomach cancers, dementia, loss of functional independence, more than 60 years later. Research has shown that higher IQ at age 11 is significantly related to higher social class in midlife. [80] Therefore, it is safe to assume that higher SES, as well as higher IQ, generally predicts better health.

Measurability: g factor can be extracted from any broad set of mental tests and has provided a common, reliable source for measuring general intelligence in any population. [73]

Falsifiability: theoretically, if g theory [73] would conceive health self-care as a job, as a set of instrumental tasks performed by the individuals, it could predict g to influence the health performance in the same way as it predicts performance in education and job.

Chronic illnesses are the major illnesses in developed countries today, and their major risk factors are health habits and lifestyle. [73] The higher social strata knows the most and the lower social strata knows the least, whether class is assessed by education, occupation or income and even when the information seems to be most useful for the poorest. Higher g promotes more learning, and it increases exposure to learning opportunities. So, the problem is not in the lack of access to health-care, but the patient's failure to use it effectively when delivered. Low literacy [81] has been associated with low use of preventive care, poor comprehension of one's illness – even when care is free. Health self-management is important because literacy provides the ability to acquire new information and complete complex tasks and that limited problem solving abilities make low-literacy patients less likely to change their behaviour on the basis of new information. [73] Chronic lack of good judgement and effective reasoning leads to chronically poor self-management.

Explanations of the correlation between intelligence and health

There have been many reasons posited for the links between health and intelligence. Although some have argued that the direction is one in which health has an influence on intelligence, most have focused on the influence of intelligence on health. Although health may definitely affect intelligence, most of the cognitive epidemiological studies have looked at intelligence in childhood when ill health is far less frequent and a more unlikely cause of poor intelligence. [3] Thus most explanations have focused on the effects intelligence has on health through its influence on mediating causes.[ citation needed ]

Various explanations for these findings have been proposed:

"First, ...intelligence is associated with more education, and thereafter with more professional occupations

that might place the person in healthier environments. ...Second, people with higher intelligence might engage in more healthy behaviours. ...Third, mental test scores from early life might act as a record of insults to the brain that have occurred before that date. ...Fourth, mental test scores obtained in youth might be an indicator of a well-put-together system. It is hypothesized that a well-wired body is more able to respond effectively to environmental insults..." [5]

System integrity hypothesis vs evolution hypothesis

The System integrity hypothesis posits that childhood intelligence is just one aspect of a well wired and well-functioning body and suggests that there is a latent trait that encompasses intelligence, health and many other factors. [82] [83] This trait indexes how well the body is functioning and how well the body can respond to change and return to a normal balance again (allostatic load). According to the system integrity hypothesis lower IQ does not cause mortality but instead poor system integrity causes lower intelligence and poorer health as well as a range of other traits which can be thought of as markers of system integrity. Professor Ian Deary has proposed that fluctuating asymmetry, speed of information processing, physical co-ordination, physical strength, metabolic syndrome and genetic correlation may be further potential markers of system integrity which by definition should explain a large part of or nullify the relationship between intelligence and mortality.[ citation needed ]

An opposing theory to the system integrity theory is the evolutionary novelty theory which suggests that those with higher intelligence are better equipped to deal with evolutionary novel events. [84] It is proposed that intelligence evolved to tackle evolutionarily novel situations and that those with a higher IQ are better able to process when such a novel situation is dangerous or a health hazard and thus are likely to be in better health. This theory provides a theoretical background for evidence found that supports the idea that intelligence is related to mortality through health behaviours such as wearing a seatbelt or quitting smoking. Evolutionary novelty theory emphasises the role of behaviour in the link between mortality and intelligence whereas system integrity emphasis the role of genes. Thus system integrity predicts that individuals of higher intelligence will be better protected from diseases that are caused primarily by genetics whereas evolutionary adaptive theory suggests that individuals of higher intelligence will be better protected from diseases that are less heritable and are caused by poor life choices. One study which tested this idea looked at the incidence of heritable and non-heritable cancers in individuals of differing levels of intelligence. They found that those of higher intelligence were less likely to have cancer that was not heritable, that was based on lifestyle, thus supporting the evolutionary novelty theory. [84] However this was only a preliminary study and only included the disease cancer, which has been found in previous studies to have an ambiguous relationship with intelligence.[ citation needed ]

Disease and injury prevention

Having higher intelligence scores may mean that individuals are better at preventing disease and injury. Their cognitive abilities may equip them with a better propensity for understanding the injury and health risks of certain behaviours and actions. Fatal and non-fatal accidental injury have been associated with lower intelligence. [85] [86] This may be because individuals of higher intelligence are more likely to take precautions such as wearing seat belts, helmets etc. as they are aware of the risks.

Further there is evidence that more intelligent people behave in a healthier way.

People with higher IQ test scores tend to be less likely to smoke or drink alcohol heavily. They also eat better diets, and they are more physically active. So they have a range of better behaviours that may partly explain their lower mortality risk.

-Dr. David Batty [7]

Individuals with higher cognitive abilities are also better equipped for dealing with stress, a factor that has been implemented in many health problems ranging from anxiety to cardiovascular disease. It has been suggested that higher intelligence leads to a better sense of control over one's own life and a reduction in feelings of stress. [87] One study found that individuals with lower intelligence experienced a greater number of functional somatic symptoms, symptoms that cannot be explained by organic pathology and are thought to be stress related. However most of the relationship was mediated by work conditions. [88]

Disease and injury management

There is evidence that higher intelligence is related to better self-care when one has an illness or injury. One study asked participants to take aspirin or a placebo on a daily basis during a study on cardiovascular health. Participants with higher intelligence persisted with taking the medication for longer than those with lower intelligence indicating that they could care for themselves better. [89] Studies have shown that individuals with lower intelligence have lower health literacy and a study looking at the link between health literacy and actual health found that it was mediated almost entirely by intelligence. [90] It has been claimed that up to a third of medications are not taken correctly and thus jeopardize the patients' health. This is particularly relevant for those with heart problems as the misuse of some heart medications can actually double the risk of death. [91] More intelligent individuals also make use of preventative healthcare more often for example visiting the doctors. Some have argued however that this is an artefact of higher SES; that those with lower intelligence tend to be from a lower social class and have less access to medical facilities. However it has been found that even when access to healthcare is equal, those with lower intelligence still make less use of the services. [73]

Psychiatric illness

A diagnosis of any mental illness, even mild psychological distress is linked to an increased risk of illness and premature death. The majority of psychiatric illness' are also linked to lower intelligence. [92] Thus it has been proposed that psychiatric morbidity may be another pathway through which intelligence and mortality are related. [93] Despite this the direction of causation between Intelligence and mental health issues has been disputed. Some argue that mental health issues such as depression and schizophrenia may cause a decline in mental functioning and thus scores on intelligence tests, while others believe that lower intelligence increases the likelihood of developing a mental health issue. [94] Although evidence for both points of view has been found, most of the cognitive epidemiological studies are carried out using intelligence scores from childhood, when the psychiatric condition was not present, ensuring that it was not the condition which caused the lower scores. This link has been shown to explain part of the relationship between childhood intelligence and mortality, however the amount of variance explained varies from less than 10 percent to about 5 percent.[ citation needed ]

Socioeconomic position in adulthood

Although childhood economic status may be seen as a confounder in the relationship between intelligence and mortality, as it is likely to affect intelligence, it is likely that adult SES mediates the relationship. The idea is that intelligent children will find themselves getting a better education, better jobs and will settle in a safer and healthier environment. They will have better access to health resources, good nutrition and will be less likely to experience the hazards and health risks associated with living in poorer neighbourhoods. Several studies have found that there is an association between adult SES and mortality.

Proposed general fitness factor of both cognitive ability and health, the f-factor

Because of the above-mentioned findings, some researchers have proposed a general factor of fitness analogous to the g-factor for general mental ability/intelligence. This factor is supposed to combine fertility factors, health factors, and the g-factor. For instance, one study found a small but significant correlation between three measures of sperm quality and intelligence. [95] [96] [97]

See also

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Health can affect intelligence in various ways. Conversely, intelligence can affect health. Health effects on intelligence have been described as being among the most important factors in the origins of human group differences in IQ test scores and other measures of cognitive ability. Several factors can lead to significant cognitive impairment, particularly if they occur during pregnancy and childhood when the brain is growing and the blood–brain barrier of the child is less effective. Such impairment may sometimes be permanent, sometimes be partially or wholly compensated for by later growth.

Risk factors of schizophrenia include many genetic and environmental phenomena. The prevailing model of schizophrenia is that of a special neurodevelopmental disorder with no precise boundary or single cause. Schizophrenia is thought to develop from very complex gene–environment interactions with vulnerability factors. The interactions of these risk factors are intricate, as numerous and diverse medical insults from conception to adulthood can be involved. The combination of genetic and environmental factors leads to deficits in the neural circuits that affect sensory input and cognitive functions. Historically, this theory has been broadly accepted but impossible to prove given ethical limitations. The first definitive proof that schizophrenia arises from multiple biological changes in the brain was recently established in human tissue grown from patient stem cells, where the complexity of disease was found to be "even more complex than currently accepted" due to cell-by-cell encoding of schizophrenia-related neuropathology.

Environment and intelligence research investigates the impact of environment on intelligence. This is one of the most important factors in understanding human group differences in IQ test scores and other measures of cognitive ability. It is estimated that genes contribute about 20–40% of the variance in intelligence in childhood and about 80% in adulthood. Thus the environment and its interaction with genes account for a high proportion of the variation in intelligence seen in groups of young children, and for a small proportion of the variation observed in groups of mature adults. Historically, there has been great interest in the field of intelligence research to determine environmental influences on the development of cognitive functioning, in particular, fluid intelligence, as defined by its stabilization at 16 years of age. Despite the fact that intelligence stabilizes in early adulthood it is thought that genetic factors come to play more of a role in our intelligence during middle and old age and that the importance of the environment dissipates.

<span class="mw-page-title-main">Long-term effects of cannabis</span> Overview of long-term effects of the consumption of cannabis

The long-term effects of cannabis have been the subject of ongoing debate. Because cannabis is illegal in most countries, clinical research presents a challenge and there is limited evidence from which to draw conclusions. In 2017, the U.S. National Academies of Sciences, Engineering, and Medicine issued a report summarizing much of the published literature on health effects of cannabis, into categories regarded as conclusive, substantial, moderate, limited and of no or insufficient evidence to support an association with a particular outcome.

The relative index of inequality (RII) is a regression-based index which summarizes the magnitude of socio-economic status (SES) as a source of inequalities in health. RII is useful because it takes into account the size of the population and the relative disadvantage experienced by different groups. The disease outcome is regressed on the proportion of the population that has a higher position in the hierarchy.

<span class="mw-page-title-main">Epidemiology of schizophrenia</span>

Schizophrenia affects around 0.3–0.7% of people at some point in their life, or 21 million people worldwide as of 2020. By using precise methods in its diagnosis and a large, representative population, schizophrenia seems to occur with relative consistency over time during the last half-century.

The Lothian birth-cohort studies are two ongoing cohort studies which primarily involve research into how childhood intelligence relates to intelligence and health in old age. The Lothian Birth Cohort studies of 1921 and 1936 have, respectively, followed up Lothian-based participants in the Scottish Mental Surveys of 1932 and 1947 in old age. Scottish Mental Survey data has provided a measure of the intelligence of Lothian Birth Cohort participants at age 11, which has enabled the investigation of how childhood intelligence relates to cognition, mental health and physical health in old age.

Intelligence and personality have traditionally been studied as separate entities in psychology, but more recent work has increasingly challenged this view. An increasing number of studies have recently explored the relationship between intelligence and personality, in particular the Big Five personality traits.

<span class="mw-page-title-main">Effects of overtime</span>

Employees who work overtime hours experience numerous mental, physical, and social effects. In a landmark study, the World Health Organization and the International Labour Organization estimated that over 745,000 people died from ischemic heart disease or stroke in 2016 as a result of having worked 55 hours or more per week. Significant effects include stress, lack of free time, poor work-life balance, and health risks. Employee performance levels could also be lowered. Long work hours could lead to tiredness, fatigue, and lack of attentiveness. As a result, suggestions have been proposed for risk mitigation.

Wendy Johnson is an American differential psychologist and professor of psychology at the University of Edinburgh. She holds the chair in Differential Development in the Department of Psychology and Centre for Cognitive Ageing and Cognitive Epidemiology at the University of Edinburgh.

Ming Tso Tsuang is an American psychiatrist and Distinguished Professor of Psychiatry at the University of California, San Diego. He is considered a pioneering researcher in the genetic epidemiology of schizophrenia and other severe mental disorders. Tsuang has authored and co-authored more than 600 publications and serves as founding and senior editor of the American Journal of Medical Genetics Part B.

Heather Clare Whalley is a Scottish scientist. She is a senior research fellow in Neuroimaging at the Centre for Clinical Brain Sciences, University of Edinburgh., and is an affiliate member of the Centre for Genomic and Experimental Medicine at the University of Edinburgh. Her main focus of research is on the mechanisms underlying the development of major psychiatric disorders using the latest genomic and neuroimaging approaches.

References

  1. Deary IJ, Batty GD (May 2007). "Cognitive epidemiology". Journal of Epidemiology and Community Health. 61 (5): 378–84. doi:10.1136/jech.2005.039206. PMC   2465694 . PMID   17435201.
  2. Deary IJ (2009). "Introduction to the special issue on cognitive epidemiology" (PDF). Intelligence. 37 (6): 517–519. doi:10.1016/j.intell.2009.05.001. hdl: 20.500.11820/a2b74580-e62c-4443-8a65-186c2d6fe5f2 . S2CID   144772276.
  3. 1 2 Deary I (November 2008). "Why do intelligent people live longer?". Nature. 456 (7219): 175–6. Bibcode:2008Natur.456..175D. doi: 10.1038/456175a . PMID   19005537.
  4. Kirsten T (December 13, 2010). "Old and Wise". Scientific American Mind. Scientific American. 21 (November 2010): 11. doi:10.1038/scientificamericanmind1110-11b.
  5. 1 2 Hauser RM, Palloni A (2011). "Adolescent IQ and Survival in the Wisconsin Longitudinal Study" (PDF). CDE Working Paper No. 2010-05. Center for Demography and Ecology, University of Wisconsin-Madison. 66 (Suppl 1): i91-101. doi:10.1093/geronb/gbr037. PMC   3132760 . PMID   21743056 . Retrieved 22 November 2010.
  6. Marmot M, Kivimäki M (August 2009). "Social inequalities in mortality: a problem of cognitive function?". European Heart Journal. 30 (15): 1819–20. doi: 10.1093/eurheartj/ehp264 . PMID   19602716.
  7. 1 2 3 "People with higher IQs live longer – Telegraph". The Daily Telegraph . 16 Mar 2009. Archived from the original on 2 September 2009. Retrieved 22 November 2010.
  8. 1 2 "Study of one million Swedes uncovers link between IQ and risk of death – insciences". In Sciences Organisation. 11 March 2009. Archived from the original on 2011-10-07. Retrieved 22 November 2010.
  9. "High IQ Linked To Reduced Risk Of Death". ScienceDaily. Mar 13, 2009. Retrieved 22 November 2010.
  10. Henderson M (July 15, 2009). "Brighter people live longer, says Glasgow scientist David Batty – Times Online". The Times . Retrieved 22 November 2010.
  11. Deary IJ, Weiss A, Batty GD (July 2011). "Outsmarting Mortality". Scientific American Mind. 22 (3): 48–55. doi:10.1038/scientificamericanmind0711-48.
  12. Batty GD, Der G, Macintyre S, Deary IJ (March 2006). "Does IQ explain socioeconomic inequalities in health? Evidence from a population based cohort study in the west of Scotland". BMJ. 332 (7541): 580–4. doi:10.1136/bmj.38723.660637.AE. PMC   1397779 . PMID   16452104.
  13. Whalley LJ, Deary IJ (April 2001). "Longitudinal cohort study of childhood IQ and survival up to age 76". BMJ. 322 (7290): 819. doi:10.1136/bmj.322.7290.819. PMC   30556 . PMID   11290633.
  14. Murray C, Pattie A, Starr JM, Deary IJ (2012). "Does cognitive ability predict mortality in the ninth decade? The Lothian Birth Cohort 1921". Intelligence. 40 (5): 490–498. doi:10.1016/j.intell.2012.05.003.
  15. Martin LT, Fitzmaurice GM, Kindlon DJ, Buka SL (August 2004). "Cognitive performance in childhood and early adult illness: a prospective cohort study". Journal of Epidemiology and Community Health. 58 (8): 674–9. doi:10.1136/jech.2003.016444. PMC   1732844 . PMID   15252070.
  16. Calvin CM, Deary IJ, Fenton C, Roberts BA, Der G, Leckenby N, Batty GD (June 2011). "Intelligence in youth and all-cause-mortality: systematic review with meta-analysis". International Journal of Epidemiology. 40 (3): 626–44. doi:10.1093/ije/dyq190. PMC   3147066 . PMID   21037248.
  17. Calvin CM, Batty GD, Der G, Brett CE, Taylor A, Pattie A, Čukić I, Deary IJ (June 2017). "Childhood intelligence in relation to major causes of death in 68 year follow-up: prospective population study". BMJ. 357: j2708. doi:10.1136/bmj.j2708. PMC   5485432 . PMID   28659274.
  18. Henderson M, Richards M, Stansfeld S, Hotopf M (2012). "The association between childhood cognitive ability and adult long-term sickness absence in three British birth cohorts: a cohort study". BMJ Open. 2 (2): e000777. doi:10.1136/bmjopen-2011-000777. PMC   3323804 . PMID   22466159. Open Access logo PLoS transparent.svg
  19. Sörberg A, Lundin A, Allebeck P, Melin B, Falkstedt D, Hemmingsson T (2013). "Cognitive ability in late adolescence and disability pension in middle age: follow-up of a national cohort of Swedish males". PLOS ONE. 8 (10): e78268. Bibcode:2013PLoSO...878268S. doi: 10.1371/journal.pone.0078268 . PMC   3797835 . PMID   24147128. Open Access logo PLoS transparent.svg
  20. Batty GD, Shipley MJ, Mortensen LH, Gale CR, Deary IJ (June 2008). "IQ in late adolescence/early adulthood, risk factors in middle-age and later coronary heart disease mortality in men: the Vietnam Experience Study". European Journal of Cardiovascular Prevention and Rehabilitation. 15 (3): 359–61. doi: 10.1097/hjr.0b013e3282f738a6 . PMID   18525394. S2CID   12759191.
  21. 1 2 Kajantie E, Räikkönen K, Henriksson M, Leskinen JT, Forsén T, Heinonen K, Pesonen AK, Osmond C, Barker DJ, Eriksson JG (2012). "Stroke is predicted by low visuospatial in relation to other intellectual abilities and coronary heart disease by low general intelligence". PLOS ONE. 7 (11): e46841. Bibcode:2012PLoSO...746841K. doi: 10.1371/journal.pone.0046841 . PMC   3492363 . PMID   23144789.
  22. Roberts BA, Batty GD, Gale CR, Deary IJ, Parker L, Pearce MS (December 2013). "IQ in childhood and atherosclerosis in middle-age: 40 Year follow-up of the Newcastle Thousand Families Cohort Study". Atherosclerosis. 231 (2): 234–7. doi:10.1016/j.atherosclerosis.2013.09.018. PMC   3918147 . PMID   24267233.
  23. 1 2 Kanazawa S (March 2013). "Childhood intelligence and adult obesity". Obesity. 21 (3): 434–40. doi: 10.1002/oby.20018 . PMID   23404798.
  24. Belsky DW, Caspi A, Goldman-Mellor S, Meier MH, Ramrakha S, Poulton R, Moffitt TE (November 2013). "Is obesity associated with a decline in intelligence quotient during the first half of the life course?". American Journal of Epidemiology. 178 (9): 1461–8. doi:10.1093/aje/kwt135. PMC   3813310 . PMID   24029684.
  25. Batty GD, Deary IJ, Schoon I, Gale CR (November 2007). "Mental ability across childhood in relation to risk factors for premature mortality in adult life: the 1970 British Cohort Study". Journal of Epidemiology and Community Health. 61 (11): 997–1003. doi:10.1136/jech.2006.054494. PMC   2465619 . PMID   17933959.
  26. Kuh D, Shah I, Richards M, Mishra G, Wadsworth M, Hardy R (May 2009). "Do childhood cognitive ability or smoking behaviour explain the influence of lifetime socio-economic conditions on premature adult mortality in a British post war birth cohort?". Social Science & Medicine. 68 (9): 1565–73. doi:10.1016/j.socscimed.2009.02.006. PMC   3504657 . PMID   19269077.
  27. 1 2 3 Batty GD, Wennerstad KM, Smith GD, Gunnell D, Deary IJ, Tynelius P, Rasmussen F (January 2009). "IQ in early adulthood and mortality by middle age: cohort study of 1 million Swedish men". Epidemiology. 20 (1): 100–9. doi: 10.1097/EDE.0b013e31818ba076 . PMID   19234402. S2CID   25215672.
  28. 1 2 Jokela M, Batty GD, Deary IJ, Silventoinen K, Kivimäki M (July 2011). "Sibling analysis of adolescent intelligence and chronic diseases in older adulthood". Annals of Epidemiology. 21 (7): 489–96. doi:10.1016/j.annepidem.2011.01.008. PMID   21440456.
  29. Leon DA, Lawlor DA, Clark H, Batty GD, Macintyre S (2009). "The association of childhood intelligence with mortality risk from adolescence to middle age: Findings from the Aberdeen Children of the 1950s cohort study". Intelligence. 37 (6): 520–528. doi:10.1016/j.intell.2008.11.004.
  30. Plato (1974). Phaedrus. pp. 46–47.
  31. 1 2 3 Gale CR, Batty GD, McIntosh AM, Porteous DJ, Deary IJ, Rasmussen F (February 2013). "Is bipolar disorder more common in highly intelligent people? A cohort study of a million men". Molecular Psychiatry. 18 (2): 190–4. doi:10.1038/mp.2012.26. PMC   3705611 . PMID   22472877.
  32. Goodwin FK, Jamison KR (2007). Manic-depressive illness : bipolar disorders and recurrent depression (2nd ed.). New York: Oxford University Press. p.  381. ISBN   978-0-19-513579-4.
  33. MacCabe JH, Lambe MP, Cnattingius S, Sham PC, David AS, Reichenberg A, Murray RM, Hultman CM (February 2010). "Excellent school performance at age 16 and risk of adult bipolar disorder: national cohort study". The British Journal of Psychiatry. 196 (2): 109–15. doi: 10.1192/bjp.bp.108.060368 . PMID   20118454.
  34. Koenen KC, Moffitt TE, Roberts AL, Martin LT, Kubzansky L, Harrington H, Poulton R, Caspi A (January 2009). "Childhood IQ and adult mental disorders: a test of the cognitive reserve hypothesis". The American Journal of Psychiatry. 166 (1): 50–7. doi:10.1176/appi.ajp.2008.08030343. PMC   2705657 . PMID   19047325.
  35. Post F (July 1994). "Creativity and psychopathology. A study of 291 world-famous men". The British Journal of Psychiatry. 165 (1): 22–34. doi:10.1192/bjp.165.1.22. PMID   7953036. S2CID   37458778.
  36. Jamison KR (1996). Touched with fire : manic-depressive illness and the artistic temperament (1st Free Press Paperback ed.). New York: Free Press Paperbacks, Published by Simon & Schuster. ISBN   978-0-684-83183-1.
  37. Jauk E, Benedek M, Dunst B, Neubauer AC (July 2013). "The relationship between intelligence and creativity: New support for the threshold hypothesis by means of empirical breakpoint detection". Intelligence. 41 (4): 212–221. doi:10.1016/j.intell.2013.03.003. PMC   3682183 . PMID   23825884.
  38. Ali A, Ambler G, Strydom A, Rai D, Cooper C, McManus S, Weich S, Meltzer H, Dein S, Hassiotis A (June 2013). "The relationship between happiness and intelligent quotient: the contribution of socio-economic and clinical factors" (PDF). Psychological Medicine. 43 (6): 1303–12. doi:10.1017/S0033291712002139. PMID   22998852. S2CID   15342670.
  39. Cosgrove VE, Suppes T (May 2013). "Informing DSM-5: biological boundaries between bipolar I disorder, schizoaffective disorder, and schizophrenia". BMC Medicine. 11 (1): 127. doi: 10.1186/1741-7015-11-127 . PMC   3653750 . PMID   23672587.
  40. Kremen WS, Vinogradov S, Poole JH, Schaefer CA, Deicken RF, Factor-Litvak P, Brown AS (May 2010). "Cognitive decline in schizophrenia from childhood to midlife: a 33-year longitudinal birth cohort study". Schizophrenia Research. 118 (1–3): 1–5. doi:10.1016/j.schres.2010.01.009. PMC   3184642 . PMID   20153140.
  41. Aylward E, Walker E, Bettes B (1984). "Intelligence in schizophrenia: meta-analysis of the research". Schizophrenia Bulletin. 10 (3): 430–59. doi:10.1093/schbul/10.3.430. PMID   6382590.
  42. 1 2 3 Woodberry KA, Giuliano AJ, Seidman LJ (May 2008). "Premorbid IQ in schizophrenia: a meta-analytic review". The American Journal of Psychiatry. 165 (5): 579–87. doi:10.1176/appi.ajp.2008.07081242. PMID   18413704. S2CID   21856107.
  43. Heinrichs RW, Zakzanis KK (July 1998). "Neurocognitive deficit in schizophrenia: a quantitative review of the evidence". Neuropsychology. 12 (3): 426–45. doi:10.1037/0894-4105.12.3.426. PMID   9673998.
  44. Aylward E, Walker E, Bettes B (1984). "Intelligence in schizophrenia: meta-analysis of the research". Schizophrenia Bulletin. 10 (3): 430–59. doi:10.1093/schbul/10.3.430. PMID   6382590.
  45. 1 2 Kendler KS, Ohlsson H, Sundquist J, Sundquist K (March 2015). "IQ and schizophrenia in a Swedish national sample: their causal relationship and the interaction of IQ with genetic risk". The American Journal of Psychiatry. 172 (3): 259–65. doi:10.1176/appi.ajp.2014.14040516. PMC   4391822 . PMID   25727538.
  46. McGrath JJ, Wray NR, Pedersen CB, Mortensen PB, Greve AN, Petersen L (July 2014). "The association between family history of mental disorders and general cognitive ability". Translational Psychiatry. 4 (7): e412. doi:10.1038/tp.2014.60. PMC   4119227 . PMID   25050992.
  47. 1 2 Breslau N, Lucia VC, Alvarado GF (November 2006). "Intelligence and other predisposing factors in exposure to trauma and posttraumatic stress disorder: a follow-up study at age 17 years". Archives of General Psychiatry. 63 (11): 1238–45. doi: 10.1001/archpsyc.63.11.1238 . PMID   17088504.
  48. Gray JR, Thompson PM (June 2004). "Neurobiology of intelligence: Health implications?". Discovery Medicine. 4 (22): 157–62. PMID   20704978.
  49. Zinkstok JR, de Wilde O, van Amelsvoort TA, Tanck MW, Baas F, Linszen DH (April 2007). "Association between the DTNBP1 gene and intelligence: a case-control study in young patients with schizophrenia and related disorders and unaffected siblings". Behavioral and Brain Functions. 3 (1): 19. doi: 10.1186/1744-9081-3-19 . PMC   1864987 . PMID   17445278.
  50. Abramovitch A, Anholt G, Raveh-Gottfried S, Hamo N, Abramowitz JS (2018). "Meta-Analysis of Intelligence Quotient (IQ) in Obsessive-Compulsive Disorder". Neuropsychology Review. 28 (1): 111–120. doi:10.1007/s11065-017-9358-0. PMID   28864868. S2CID   4012128.
  51. 1 2 Belasen A, Hafer RW (30 August 2013). "IQ and alcohol consumption: International data". Intelligence. 41 (5): 615–621. doi:10.1016/j.intell.2013.07.019.
  52. White J, Batty GD (September 2012). "Intelligence across childhood in relation to illegal drug use in adulthood: 1970 British Cohort Study". Journal of Epidemiology and Community Health. 66 (9): 767–74. doi:10.1136/jech-2011-200252. PMID   22086967. S2CID   30645763.
  53. 1 2 White JW, Gale CR, Batty GD (September 2012). "Intelligence quotient in childhood and the risk of illegal drug use in middle-age: the 1958 National Child Development Survey". Annals of Epidemiology. 22 (9): 654–7. doi: 10.1016/j.annepidem.2012.06.001 . PMID   22776465.
  54. Pudney S (2006). "Rarely pure and never simple: extracting the truth from self- reported data on substance use" (PDF). The Institute of Fiscal Studies.
  55. Friedman NP, Miyake A, Corley RP, Young SE, Defries JC, Hewitt JK (February 2006). "Not all executive functions are related to intelligence". Psychological Science. 17 (2): 172–9. doi:10.1111/j.1467-9280.2006.01681.x. PMID   16466426. S2CID   17068660.
  56. Riley H, Schutte NS (2003). "Low emotional intelligence as a predictor of substance-use problems". Journal of Drug Education. 33 (4): 391–8. doi:10.2190/6dh9-yt0m-ft99-2x05. PMID   15237864. S2CID   31744638.
  57. Vega WA, Aguilar-Gaxiola S, Andrade L, Bijl R, Borges G, Caraveo-Anduaga JJ, DeWit DJ, Heeringa SG, Kessler RC, Kolody B, Merikangas KR, Molnar BE, Walters EE, Warner LA, Wittchen HU (December 2002). "Prevalence and age of onset for drug use in seven international sites: results from the international consortium of psychiatric epidemiology". Drug and Alcohol Dependence. 68 (3): 285–97. doi:10.1016/s0376-8716(02)00224-7. PMID   12393223.
  58. Preckel F, Götz T, Frenzel A (September 2010). "Ability grouping of gifted students: effects on academic self-concept and boredom". The British Journal of Educational Psychology. 80 (Pt 3): 451–72. doi:10.1348/000709909x480716. PMID   20078929. S2CID   13827139.
  59. Szalavitz M (15 November 2011). "Why Kids With High IQs Are More Likely to Take Drugs". Time. Time. Retrieved 15 April 2015.
  60. Kanawaza S (April 2012). The intelligence paradox: Why the intelligent choice isn't always the smart one (1 ed.). Hoboken, New Jersey: Wiley. p. 272. ISBN   978-0-470-58695-2.
  61. Cervilla J, Prince M, Joels S, Lovestone S, Mann A (August 2004). "Premorbid cognitive testing predicts the onset of dementia and Alzheimer's disease better than and independently of APOE genotype". Journal of Neurology, Neurosurgery, and Psychiatry. 75 (8): 1100–6. doi:10.1136/jnnp.2003.028076. PMC   1739178 . PMID   15258208.
  62. Rentz D. "More Sensitive Test Norms Better Predict Who Might Develop Alzheimer's Disease". Neuropsychology, published by the American Psychological Association. Archived from the original on November 3, 2006. Retrieved August 6, 2006.
  63. Whalley LJ, Starr JM, Athawes R, Hunter D, Pattie A, Deary IJ (November 2000). "Childhood mental ability and dementia". Neurology. 55 (10): 1455–9. doi:10.1212/WNL.55.10.1455. PMID   11094097. S2CID   33109146.
  64. Batty GD, Deary IJ, Macintyre S (October 2006). "Childhood IQ and life course socioeconomic position in relation to alcohol induced hangovers in adulthood: the Aberdeen children of the 1950s study". Journal of Epidemiology and Community Health. 60 (10): 872–4. doi:10.1136/jech.2005.045039. PMC   2566055 . PMID   16973534.
  65. 1 2 Hatch SL, Jones PB, Kuh D, Hardy R, Wadsworth ME, Richards M (June 2007). "Childhood cognitive ability and adult mental health in the British 1946 birth cohort". Social Science & Medicine. 64 (11): 2285–96. doi:10.1016/j.socscimed.2007.02.027. PMC   3504659 . PMID   17397976.
  66. Hendriks V, van der Schee E, Blanken P (September 2012). "Matching adolescents with a cannabis use disorder to multidimensional family therapy or cognitive behavioral therapy: treatment effect moderators in a randomized controlled trial". Drug and Alcohol Dependence. 125 (1–2): 119–26. doi:10.1016/j.drugalcdep.2012.03.023. PMID   22560728.
  67. Taylor MD, Hart CL, Davey Smith G, Starr JM, Hole DJ, Whalley LJ, Wilson V, Deary IJ (June 2003). "Childhood mental ability and smoking cessation in adulthood: prospective observational study linking the Scottish Mental Survey 1932 and the Midspan studies". Journal of Epidemiology and Community Health. 57 (6): 464–5. doi:10.1136/jech.57.6.464. PMC   1732467 . PMID   12775797.
  68. Hemmingsson T, Kriebel D, Melin B, Allebeck P, Lundberg I (September 2008). "How does IQ affect onset of smoking and cessation of smoking--linking the Swedish 1969 conscription cohort to the Swedish survey of living conditions". Psychosomatic Medicine. 70 (7): 805–10. doi:10.1097/PSY.0b013e31817b955f. PMID   18606723. S2CID   25138371.
  69. Gale CR, Deary IJ, Schoon I, Batty GD (February 2007). "IQ in childhood and vegetarianism in adulthood: 1970 British cohort study". BMJ. 334 (7587): 245. doi:10.1136/bmj.39030.675069.55. PMC   1790759 . PMID   17175567.
  70. Batty GD, Deary IJ, Schoon I, Gale CR (January 2007). "Childhood mental ability in relation to food intake and physical activity in adulthood: the 1970 British Cohort Study". Pediatrics. 119 (1): e38–45. doi:10.1542/peds.2006-1831. PMID   17200256. S2CID   32923350.
  71. Lawlor DA, Clark H, Leon DA (February 2007). "Associations between childhood intelligence and hospital admissions for unintentional injuries in adulthood: the Aberdeen Children of the 1950s cohort study". American Journal of Public Health. 97 (2): 291–7. doi:10.2105/AJPH.2005.080168. PMC   1781410 . PMID   17194859.
  72. Adler, N. E., Boyce, T., Chesney, M. A., Cohen, S., Folkman, S., Kahn, R. L., & Syme, S. L. (1994). Socioeconomic Status and Health: The Challenge of the Gradient. American Psychologist, 15–24.
  73. 1 2 3 4 5 6 7 8 9 Gottfredson LS (January 2004). "Intelligence: is it the epidemiologists' elusive "fundamental cause" of social class inequalities in health?". Journal of Personality and Social Psychology. 86 (1): 174–99. CiteSeerX   10.1.1.199.5684 . doi:10.1037/0022-3514.86.1.174. PMID   14717635.
  74. Firkowska AN, Ostrowska A, Sokolowska M, Stein Z, Susser M, Wald I (June 1978). "Cognitive development and social policy". Science. 200 (4348): 1357–62. Bibcode:1978Sci...200.1357F. doi:10.1126/science.663616. PMID   663616.
  75. Jencks C, Bartlett S, Corcoran M, Crouse J, Eaglesfield D, Jackson G (1979). Who gets ahead? The determinants of economic success in America. New York: Basic Books.
  76. Schmidt FL, Hunter J (January 2004). "General mental ability in the world of work: occupational attainment and job performance". Journal of Personality and Social Psychology. 86 (1): 162–73. doi:10.1037/0022-3514.86.1.162. PMID   14717634.
  77. Baldwin J, Kirsch IS, Rock D, Yamamoto K (1995). The literacy proficiencies of GED examinees: Results from the GED-NALS comparison study. Washington, DC: GED Testing Service of the American Council on Education and Educational Testing Service.
  78. Gottfredson, L. S. (1997). "Why g matters: The complexity of everyday life". Intelligence. 24 (1): 79–132. CiteSeerX   10.1.1.535.4596 . doi:10.1016/s0160-2896(97)90014-3.
  79. Deary IJ, Whiteman MC, Starr JM, Whalley LJ, Fox HC (January 2004). "The impact of childhood intelligence on later life: following up the Scottish mental surveys of 1932 and 1947". Journal of Personality and Social Psychology. 86 (1): 130–47. doi:10.1037/0022-3514.86.1.130. PMID   14717632.
  80. Deary IJ, Taylor MD, Hart CL, Wilson V, Smith GD, Blane D, Starr JM (2005). "Intergenerational social mobility and mid-life status attainment: Influences of childhood intelligence, childhood social factors, and education" (PDF). Intelligence. 33 (5): 455–472. doi:10.1016/j.intell.2005.06.003.
  81. Davis TC, Meldrum H, Tippy PK, Weiss BD, Williams MV (October 1996). "How poor literacy leads to poor health care". Patient Care. 30 (6): 94–104.
  82. Deary IJ (2012). "Looking for 'system integrity' in cognitive epidemiology". Gerontology. 58 (6): 545–53. doi: 10.1159/000341157 . PMID   22907506.
  83. Gale CR, Batty GD, Cooper C, Deary IJ (July 2009). "Psychomotor coordination and intelligence in childhood and health in adulthood--testing the system integrity hypothesis". Psychosomatic Medicine. 71 (6): 675–81. doi:10.1097/PSY.0b013e3181a63b2e. PMID   19483120. S2CID   12050719.
  84. 1 2 Kanazawa, S (2014). "General intelligence, disease heritability, and health: A preliminary test". Personality and Individual Differences. 71: 83–85. doi:10.1016/j.paid.2014.07.028.
  85. Batty GD, Gale CR, Tynelius P, Deary IJ, Rasmussen F (March 2009). "IQ in early adulthood, socioeconomic position, and unintentional injury mortality by middle age: a cohort study of more than 1 million Swedish men". American Journal of Epidemiology. 169 (5): 606–15. doi:10.1093/aje/kwn381. PMC   2640161 . PMID   19147741.
  86. Whitley E, Batty GD, Gale CR, Deary IJ, Tynelius P, Rasmussen F (May 2010). "Intelligence in early adulthood and subsequent risk of unintentional injury over two decades: cohort study of 1 109 475 Swedish men". Journal of Epidemiology and Community Health. 64 (5): 419–25. doi:10.1136/jech.2009.100669. PMC   4170759 . PMID   19955099.
  87. Martin LT, Kubzansky LD, LeWinn KZ, Lipsitt LP, Satz P, Buka SL (August 2007). "Childhood cognitive performance and risk of generalized anxiety disorder". International Journal of Epidemiology. 36 (4): 769–75. doi: 10.1093/ije/dym063 . PMID   17470490.
  88. Kingma EM, Tak LM, Huisman M, Rosmalen JG (November 2009). "Intelligence is negatively associated with the number of functional somatic symptoms" (PDF). Journal of Epidemiology and Community Health. 63 (11): 900–5. doi:10.1136/jech.2008.081638. PMID   19608559. S2CID   23333204.
  89. Deary IJ, Gale CR, Stewart MC, Fowkes FG, Murray GD, Batty GD, Price JF (November 2009). "Intelligence and persisting with medication for two years: Analysis in a randomised controlled trial". Intelligence. 37 (6): 607–612. doi:10.1016/j.intell.2009.01.001. PMC   2773357 . PMID   19907664.
  90. Gottfredson LS, Deary IJ (2004). "Intelligence predicts health and longevity, but why?". Current Directions in Psychological Science. 13 (1): 1–4. doi:10.1111/j.0963-7214.2004.01301001.x. S2CID   15176389.
  91. Gallagher EJ, Viscoli CM, Horwitz RI (August 1993). "The relationship of treatment adherence to the risk of death after myocardial infarction in women". JAMA. 270 (6): 742–4. doi:10.1001/jama.270.6.742. PMID   8336377.
  92. Gale CR, Batty GD, Osborn DP, Tynelius P, Whitley E, Rasmussen F (August 2012). "Association of mental disorders in early adulthood and later psychiatric hospital admissions and mortality in a cohort study of more than 1 million men". Archives of General Psychiatry. 69 (8): 823–31. doi:10.1001/archgenpsychiatry.2011.2000. PMC   4170756 . PMID   22868936.
  93. Batty GD, Deary IJ, Gottfredson LS (April 2007). "Premorbid (early life) IQ and later mortality risk: systematic review". Annals of Epidemiology. 17 (4): 278–88. CiteSeerX   10.1.1.693.9671 . doi:10.1016/j.annepidem.2006.07.010. PMID   17174570.
  94. Dickson H, Laurens KR, Cullen AE, Hodgins S (April 2012). "Meta-analyses of cognitive and motor function in youth aged 16 years and younger who subsequently develop schizophrenia". Psychological Medicine. 42 (4): 743–55. doi:10.1017/s0033291711001693. PMID   21896236. S2CID   20431370.
  95. Arden R, Gottfredson LS, Miller G (1 November 2009). "Does a fitness factor contribute to the association between intelligence and health outcomes? Evidence from medical abnormality counts among 3654 US Veterans". Intelligence. 37 (6): 581–591. doi:10.1016/j.intell.2009.03.008.
  96. Arden R, Gottfredson LS, Miller G, Pierce A (1 May 2009). "Intelligence and semen quality are positively correlated". Intelligence. 37 (3): 277–282. doi:10.1016/j.intell.2008.11.001.
  97. Pierce A, Miller G, Arden R, Gottfredson LS (September 2009). "Why is intelligence correlated with semen quality?: Biochemical pathways common to sperm and neuron function and their vulnerability to pleiotropic mutations". Communicative & Integrative Biology. 2 (5): 385–7. doi:10.4161/cib.2.5.8716. PMC   2775227 . PMID   19907694.

Further reading