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Are subjective cognitive complaints related to memory functioning in the working population?

Abstract

Background

Cognitive functioning is important for managing work and life in general. Some experience problems with cognitive functioning, often referred to as subjective cognitive complaints (SCC). These problems are rather prevalent in the working population and can be coupled with both lowered well-being and work ability.

However, the relation between SCC and memory functioning across the adult age-span, and in the work force, is not clear as few population-based studies have been conducted on non-elderly adults. Thus, the present study aimed to test the relation between SCC and actual declarative memory functioning in a population-based sample of employees.

Methods

Participants were 233 employees with either high (cases) or low (controls) levels of SCC. Group differences in neuropsychological tests of semantic and episodic memory, as well as episodic memory performance during higher executive demands (divided attention) were analysed through a set of analyses of covariance tests.

Results

Significantly poorer episodic memory performance during divided attention (i.e. high executive demands) was found in the group with high SCC compared to controls with little SCC, while no group differences were found in semantic memory. No group differences were found in immediate or delayed episodic memory during focused attention conditions. Furthermore, depressive symptoms, chronic stress symptoms and sleeping problems were found to play a role in the relation between SCC and episodic memory during divided attention.

Conclusions

This study contributes to an increased understanding of what characterizes SCC in the work force and suggests a relation to poorer executive cognitive functioning.

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Background

Proper cognitive functioning is essential for adequate performance in working life and for managing life in general. However, some individuals experience problems with cognitive functioning, such as frequent forgetfulness and difficulties concentrating, making decisions and thinking clearly. The subjective experience of having problems with cognitive function is often referred to as subjective cognitive complaints (SCC).

SCC are common among elderly people and may be attributable to cognitive aging processes that are natural or pathological (Geerlings et al. 1999; Jonker et al. 2000; Jonker et al. 1996; Lam et al. 2005; Treves et al. 2005; Stewart 2012). However, SCC are also present among non-elderly adults (Lozoya-Delgado et al. 2012; Podewils et al. 2003; de Leon JM et al. 2010; Scholtissen-In de Braek et al. 2011; Vestergren & Nilsson 2011; Stenfors et al. 2013).

Approximately 10% of the Swedish work force report having at least one type of cognitive difficulty “often” (Stenfors et al. 2013).

While SCC may be troublesome to the individual, the relationship between SCC and actual cognitive function is not clear. A better understanding of what SCC represent is important for the prevention and treatment of SCC.

Previous research among elderly adults (approximately 65+ years) has shown a relatively mixed picture of the relationship between SCC and cognitive functioning. Some studies have demonstrated a weak relationship or even a zero correlation (e.g., Reid & Maclullich 2006), while others have found relations to cognitive functional decline, (e.g., Jessen et al. 2010; Reisberg et al. 2010).

When it comes to non-elderly adults, relatively few studies exist on SCC in relation to actual cognitive functioning. SCC in this age-group has been found related to poorer episodic memory in a general population sample (Podewils et al. 2003), middle-aged employees (Rijs et al. 2012; Reid et al. 2012) and a community sample (de Leon JM et al. 2010) where SCC were also related to poorer executive functioning. But others have found little association between SCC and cognitive function (Scholtissen-In de Braek et al. 2011; Bassett & Folstein 1993), except among those that were retarded or demented. However, the measures in Bassett and Folstein’s (Bassett & Folstein 1993) study were limited to one question about subjective memory and one test of delayed episodic recall (limited to three object names).

Thus, findings from previous studies of non-elderly adults are still inconclusive.

The aetiology of SCC among younger adults may differ from that in the elderly to some extent. Non-elderly adults more often report stress and related constructs like tension and emotional problems as causes of their SCC, while elderly more often report aging as the cause (Vestergren & Nilsson 2011; Ponds et al. 1997). SCC among younger adults have also been related to work stressors (Stenfors et al. 2013; Albertsen et al. 2010) and other stress symptoms (Lozoya-Delgado et al. 2012). Many other lines of research have shown detrimental effects of acute and chronic stress and related allodynamic processes on cognitive and brain functioning especially in prefrontal cortical and medial temporal (hippocampal) regions, e.g. (Juster et al. 2010; McEwen & Gianaros 2011; Liston et al. 2009; Qin et al. 2009; Sandström et al. 2012).

Related problems that are common in the working population and that are also associated with SCC and cognitive functioning in the domains of episodic memory and executive functioning are depressive symptoms (Reid et al. 2012; Murrough et al. 2011) and sleeping problems (Stenfors et al. 2013; Walker 2008; Walker 2009). Thus, stress-related processes, affective problems and sleep are plausible factors affecting SCC and memory functioning in the working population.

Thus, the aim of the present study was to test the relationship between SCC and declarative memory functioning, as well as the role of chronic stress, depressive symptoms and sleeping problems in relationships between SCC and declarative memory functioning. Declarative long term memory is usually divided into two subcomponents, episodic and semantic memory, respectively, with different functions and different localization in the brain (Tulving 1992). Episodic memory concerns memories of the personal past. It requires a conscious recollection of a previous event or episode defined in time and space. Semantic memory concerns memory of general knowledge and facts in the world and the personal past of the individual not related to time and place of a study episode. Episodic memory processing has been structurally localized to the medial-temporal lobe, including hippocampus and with supporting pathways from executive functional networks in prefrontal cortical (PFC) regions (Tulving 2002; Kim et al. 2009), while semantic memory functioning has been associated with the posterior cortices and left frontal regions (Kompus et al. 2009).

It was predicted that those cognitive functions that depend more on hippocampal and PFC brain structures and have been found more sensitive to both stress exposure, affective and related problems, as well as the development of dementia (i.e. age-related), would be related to the level of SCC among employees.

Specifically, it was predicted that a higher level of SCC would be related to poorer episodic memory performance.

Since semantic memory has been found to be less prone to decline from degenerative processes (Kaufman & Horn 1996; Salthouse & JINS 2010) and instead is related to education and pre-morbid intellectual ability (Almkvist & Tallberg 2009; Almkvist et al. 2007), it was predicted that the level of SCC would not be related to semantic memory performance.

Moreover it was predicted that the effect of SCC level on episodic memory performance would be more pronounced during divided attention (DA) conditions that tap more prefrontal cortical dependent executive cognitive functioning, than during focused attention (FA).

Since considerable co-occurrence has been observed between SCC, frontal lobe functioning and other common symptoms of chronic stress, depression and sleeping problems (Stenfors et al. 2013; McEwen & Gianaros 2011; Sandström et al. 2012; Murrough et al. 2011; Walker 2009), additional analyses testing the potential role of these symptoms in any relations between SCC and declarative memory function were also performed.

Method

Participants and study design

Participants were recruited from the 2010 wave of the Swedish Longitudinal Occupational Survey of Health (SLOSH)- a longitudinal study of work environment and health among Swedish employees conducted biennially.

The SLOSH 2010 sample is based on the respondents to the nationally representative Swedish Work Environment Surveys (SWES) conducted biennially. (See, e.g., Magnusson Hanson et al. 2008; Leineweber et al. 2012). Participants from SWES 2003, 2005 and 2007 are included in SLOSH 2010 and the age range of the sample is 16-64 years.

A total of 11525 subjects participated (57% response rate) in SLOSH 2010 and 9132 of the participants were gainfully employed- i.e. they were in gainful employment during the past three months at a level of 30% of full time or more.

Gainfully working participants in Stockholm county and the counties surrounding the city of Gothenburg were invited to the study based on their recently reported levels of SCC.

An experimental case group was defined, consisting of those reporting a “high” level of SCC with a mean level of ≥3.25 (scale 1-5/Never-Always). This corresponds to reporting that at least one of the 4 cognitive problems is experienced “Often” or more, and the other three problems at least “Sometimes”. This cut-off was based on face validity and on the distribution of SCC in the gainfully working part of the SLOSH population (8943 people), where a SCC score ≥3.25 corresponds to approximately the top decile of the distribution of SCC. The experimental control group on the other hand consisted of people with a “low” level of SCC defined as a SCC score ≤2.0. This corresponds to experiencing the 4 cognitive problems “Seldom” or less on average, and belongs to approximately the bottom 50% of the distribution of SCC scores in the gainfully working part of the SLOSH population.

All 352 identified cases and 941 case-matched controls were invited. Controls were matched to the cases on geographical area, age, sex, and educational level. More controls were invited in order to increase the possibilities to get matching controls for each case deciding to participate.

A total of 233 participants took part in the study, out of which 116 (30 men, 86 women) were cases, and 117 (26 men, 91 women) were controls.

Seven individuals were excluded from the study due to known possible brain injury, such as prior head trauma, stroke, or chemical poisoning, as well as psychotic illness, or other illness conditions at the time of testing. The sample of eligible participants thus consisted of 112 cases and 114 controls.

Cases were 25-67 years and controls were 29-66 years of age. See Table 1 for sample characteristics of the case and control groups.

Table 1 Characteristics of groups with a low vs. high level of SCC

Test scores potentially affected by insufficient vision and Swedish language proficiency were excluded.

Those consenting to participate were given an appointment in Stockholm or Gothenburg for neuropsychological testing within approximately 4-16 weeks of responding to the SLOSH questionnaire.

Neuropsychological tests of declarative memory

Episodic memory

Face Recognition (Nilsson et al. 2004; Nilsson et al. 1997): Participants were presented with 16 colour photographs of faces of 10-year-old children, and given a delayed free choice (yes/no) recognition test. The performance score was the number of hits (i.e. a yes response to a target face- i.e. a face that had been shown at encoding) minus false alarms (a yes response to a non-target face that had not been shown at encoding), i.e. the d prime score.

Immediate free recall (IFR) of words, during FA and DA (Nilsson et al. 2004; Nilsson et al. 1997): In this test participants were presented auditorily with four word lists with 12 items in each list that were presented at a rate of 1 word every 2 seconds. Immediately after each word list had been presented, the participants were asked to recall as many of the words from the presented list as possible in any order (i.e. free recall) during 45 seconds. Participants were instructed to say aloud one recalled word for each ticking sound (i.e. each 2 second interval), without paying attention to if they cannot recall a word for each time interval. A concurrent card-sorting task, forcing the division of attention (DA), was given for conditions 2 (at encoding), 3 (at recall) and 4 (both at encoding and recall), while condition 1 was performed without any concurrent card-sorting (i.e. with FA). The card-sorting task consisted in sorting a deck of cards with a square in the centre coloured either red or black into two piles- one “red” and one “black” pile- sorting one card every 2 seconds.

A time indicator (giving a small ticking sound every 2 seconds) was used to standardise the rate of presentation and the magnitude of distraction for all of the words at encoding or recall both within and across the four conditions. The order of the four word lists was counterbalanced across participants in each SCC group.

In all four conditions, the performance score was the number of correctly recalled words from the study list.

Delayed free recall of words: In this test the participants were asked to freely recall (i.e. in any order) as many words as possible from the previously studied word lists from the test IFR. Participants had 2 minutes for recall. The delay period between encoding (i.e. completion of the test IFR) and the testing of delayed free recall of words was approximately 5 minutes long, during which another unrelated test without word material was administered. The performance score was the total number of correctly recalled words.

Semantic memory

Vocabulary: A revised, 30-item multiple-choice synonym test (Dureman 1960) was used as an index of semantic knowledge. The task involved selecting the synonym of each target word from among five alternatives within 7 minutes. The performance score was the number of correctly identified synonyms.

Semantic Fluency: Two fluency tasks were administered in which the participants were instructed to generate aloud as many words as possible in 1 min. The first task was to produce words beginning with the letter A. The second task was to produce professions beginning with the letter B (Nilsson et al. 2004; Nilsson et al. 1997). While fluency tests tap semantic memory functioning, it should be pointed out that (especially letter-) fluency tasks also rely on executive processes and associated prefrontal cortical brain regions (e.g., Birn et al. 2010). This has been most evident in patients with severe/manifest prefrontal brain damage becoming severely impaired on fluency tasks. However, in the present study with participants that do not have any known brain damage, the fluency tests were used primarily as measures of semantic memory functioning.

The performance score for each fluency test was the number of correctly generated words.

Questionnaire measures from SLOSH 2010

Subjective cognitive complaints

(SCC) were measured by four questions about difficulties during the past 3 months with concentration, memory, decision-making, and ability to think clearly (e.g. Have you had difficulties with remembering?) on a scale of 1-5/‘Never’-‘Always’. The scale was adopted from the Copenhagen Psychosocial Questionnaire (Kristensen et al. 2005) originally from The Stress Profile questionnaire (Setterlind & Larsson 1995). An index was created from the mean score of the four questions. The case and control groups were defined based on this SCC index into a high SCC group having a SCC score ≥3.25, corresponding to the presence of at least one of the SCC ‘always’ or ‘often’ on average, and a low SCC group having a SCC score ≤2.0, corresponding to the presence of SCC ‘seldom’ or ‘never’ on average.

Chronic stress symptoms

were measured by the Maslach Burnout Inventory General Survey, using the subscale of emotional exhaustion measured by 5 items (in the form of propositions, e.g. I feel completely worn out at the end of a working day) on a scale of 1-6/‘A few times a year or less’-‘Every day’. The subscale has proved to be the most robust and reliable (Schaufeli & Enzmann 1998; Vingård et al. 2001).

Depressive symptoms

were measured by six items (e.g. How much have you been troubled by feeling blue?) on a scale of 1-5/Not at all-Very much, selected from the Hopkins Symptom Checklist depression subscale (SCL-90, Lipmann 1986). Mean scores were used (see Magnusson Hanson et al. 2009).

Sleeping problems

The established and validated measures Disturbed sleep index (DSI) reflecting lack of sleep continuity (e.g. How often have you been disturbed by repeated awakenings with difficulties going back to sleep?) and the Awakening index (AI) reflecting feelings of being insufficiently restored (e.g. How often have you been troubled by not feeling rested at wake-up?) during the past 3 months, were used. Dichotomised variables were used indicating the presence or absence of sleep disturbances and awakening problems, based on four and three items respectively (Åkerstedt et al. 2002; Kecklund & Åkerstedt 1992; Åkerstedt et al. 2008).

Other potential confounders considered

Age, gender, attained educational level (‘upper secondary school or lower’, ‘undergraduate studies <2 years’, ‘undergraduate studies >2 years); yearly income from work; and the presence of cardiovascular disease, diabetes or (unspecific) psychiatric illness.

Indices based on mean scores of items on the respective scales were used, where applicable, and some scales were computed into dichotomous variables as indicated. High values on any measure indicate a high level of the construct, e.g. high level of depressive symptoms.

Data analysis

Differences in cognitive functioning domains between groups with a high versus low level of SCC were analysed using Analysis of Covariance (ANCOVA), adjusting for effects of age, gender, education and income by adding these as covariates in the analysis.

The dependent measures tested were performance scores for each of the semantic memory and episodic memory (delayed recall and recognition, as well asIFR during DA versus during FA).

The alpha level used to evaluate the significance of the statistical results was 0.05.

Since the significance tests were used to evaluate a set of a priori hypotheses, individual test results were not corrected for multiple significance testing.

Data analyses were performed using SPSS 19 software.

Ethics statement

The study has been approved by the Regional Research Ethics Board in Stockholm (Dnr 2010/397-31).

All study participants have given their informed consent. Data were analysed anonymously.

Results

Demographic characteristics and prevalence of other psychological symptoms and medical conditions in the groups with a high and a low level of SCC are presented in Table 1.

Means and standard deviations of the memory measures are presented in Table 2.

Table 2 Descriptive statistics for test performance in groups with a low vs. high level of SCC

Separate ANCOVAs were conducted for the memory tests, using age, gender, education level and income as covariates in each analysis (Table 3).

Table 3 ANCOVA results for all declarative memory measures in groups with low versus high levels of SCC†

No significant group differences were found on the semantic memory measures, nor on the episodic measures of delayed recall and recognition.

Thus, these results indicate that differences in cognitive complaints were not clearly related to semantic memory performance, nor to delayed recall or recognition of episodic memory content.

However, in the IFR test with either FA or DA conditions, the results were in line with the prediction that participants with high levels of SCC would be more vulnerable to memory deficits when they have to engage the executive functions more heavily to manage the distraction task that forces the division of their attention, than the participants with low levels of SCC (see Table 3).

Results from conducting one-way ANCOVAs for word recall during FA and DA conditions showed that memory performance between the two SCC groups did not differ in the FA condition, while the high SCC group performed significantly poorer in the condition with DA during encoding, F(1, 218) = 5.42, p = 0.021. A trend was also found towards poorer performance in the high SCC group in the condition with DA during recall.

No group difference was seen in the most difficult condition with DA at both encoding and recall. Performance deteriorated heavily in both groups in this condition, suggesting floor effects in this condition.

As can be seen in Table 1, a number of participants reported having an unspecified psychiatric illness (15 in the high SCC group and 1 in the low SCC group). As this could be affecting both cognitive functioning negatively, as well as self-perceptions of cognitive functioning (with either relatively more SCC or less SCC due to potentially poorer ability to assess own functioning level), the above analyses were also after excluding these participants from the study sample.

The results from these analyses for all of the test measures are shown in Table 4. Similar to the results in the first set of analyses, no group differences were seen in semantic measures or delayed episodic recall or recognition. Again, the high SCC group showed significantly poorer performance in IFR during DA at encoding, F(1, 203) = 4.14, p = 0.043, as well as in the condition with DA at recall, F(1, 203) = 3.95, p = 0.048.

Table 4 ANCOVA results of differences in the cognitive test measures between groups with high versus low levels of SCC excluding individuals reporting an unspecified psychiatric illness

As can be seen in Table 1, participants with high levels of SCC also showed more chronic stress/exhaustion symptoms, depressive symptoms and sleeping problems than those participants with low levels of SCC, as expected. Thus, separate one-way ANCOVAs adding one of the covariates at a time, comparing the SCC groups on memory performance during DA, were also conducted. Adjusting for all or either of symptoms of depression, chronic stress and sleeping problems reduced the significant effect that SCC group has on IFR performance during the DA conditions to non-significance. Results after controlling for all of these factors are shown in Table 5.

Table 5 Results for immediate free recall of words (IFR) during focused (FA) versus divided attention (DA), excluding individuals reporting an unspecified psychiatric illness, controlling for symptoms of exhaustion, depression and sleeping problems

For complete ANCOVA tables for each test measure, after excluding participants with reported unspecified psychiatric illness, see Tables 6, 7, 8, 9, 10, 11.

Table 6 Results for vocabulary, excluding individuals reporting an unspecified psychiatric illness
Table 7 Results for letter fluency, excluding individuals reporting an unspecified psychiatric illness
Table 8 Results for category fluency, excluding individuals reporting an unspecified psychiatric illness
Table 9 Results for face recognition (d′ scores), excluding individuals reporting an unspecified psychiatric illness
Table 10 Results for delayed recall of words, excluding individuals reporting an unspecified psychiatric illness
Table 11 ANCOVA results of group differences in immediate free recall (IFR) during focused attention (FA) vs. divided attention (DA) conditions , excluding individuals reporting an unspecified psychiatric illness

Discussion

In this study the relationship between SCC and objective cognitive functioning in declarative semantic memory, episodic memory, as well as episodic mnemonic ability under conditions of DA- that involve a higher load on executive functioning- were tested in a sample of the general working population.

A trend toward poorer episodic memory performance on tasks of delayed verbal recall and non-verbal recognition was found among individuals with high levels of SCC, compared to controls with low levels of SCC whom were matched to the cases on age, gender, education and geographical area.

It was found that memory performance in IFR under DA conditions was significantly poorer among individuals experiencing high levels of SCC compared to the controls with low levels of SCC whom were matched to the cases on age, gender, education and geographical area. No differences were found in semantic memory measures between the two SCC groups, suggesting that the matching on educational level was effective. Importantly, this is also an indicator that the groups did not differ in “premorbid” general intellectual ability (in the event of acquired cognitive deficits), since verbal crystallized intellectual ability is generally robust to cognitive decline and is highly correlated with premorbid general intellectual ability (Kaufman & Horn 1996; Salthouse & JINS 2010).

However, there were no group differences in episodic memory performance on tasks of delayed verbal recall and delayed non-verbal recognition, contrary to our prediction.

Thus, the results in this study suggest that high levels of SCC are primarily associated with poorer executive cognitive ability in the general population of working adults.

These results are compatible with more recent study findings of SCC among non-elderly adults being related to poorer executive cognitive functioning (de Leon JM et al. 2010).

Executive functioning and related brain regions also appear to be particularly sensitive to impairments from stress-signalling in acute and chronic stress (e.g., Liston et al. 2009; Sandström et al. 2012; Arnsten 2009; Karlson et al. 2012), depressive symptoms (Murrough et al. 2011) and sleeping problems (Walker 2009), which are all common among non-elderly adults.

In the present study too, SCC are highly co-occurring with exhaustion symptoms, depressive symptoms and sleeping problems, which could statistically explain some of the relationship between SCC and executive functioning in the present study. Specifically, adjusting for depressive symptoms or sleeping problems alone reduced the effect of SCC on memory performance during DA to non-significance. Adjusting for exhaustion symptoms also reduced the effect of SCC, but to the least extent.

The overlap between SCC and these other types of symptoms was expected and these symptoms may also have a common or overlapping underlying aetiology, even if individual differences in vulnerabilities can make people more or less prone to the different types of problems.

It is possible that a stronger relation between SCC and episodic memory functioning seen in another population study including younger adults (Podewils et al. 2003) would be found had the cases with high levels of SCC in the present study been more severely affected by their SCC (see also de Leon JM et al. 2010). The present study only included those healthy enough to be in gainful employment.

However, a relation between SCC and cognitive functioning has not always been observed and may be due to several factors already mentioned concerning design.

Some have also suggested that subjective SCC may be accurate perceptions of underlying degenerative processes. Recently, various neuroimaging studies on elderly participants have found SCC (even without manifest cognitive impairments) to be related to altered neuronal/brain functioning that may be non-pathological or pathological (i.e. progressive Alzheimer’s disease: AD) (see e.g., Stewart 2012; Erk et al. 2011; Scheef et al. 2012; Striepens et al. 2010; Hohman et al. 2011). This suggests that people may have awareness of changes in cognitive and brain functioning even when these are not detectable from conventional neuropsychological assessments.

This leads on to a related aspect of cognitive performance that can obscure the overt relationship between SCC and objective cognitive performance, namely the ability of individuals to engage in cognitive compensatory activities and strategies that may prevent overt signs of cognitive functional decline, e.g. (Stern & JINS 2002). A high cognitive reserve (e.g. high educational attainment) has been particularly associated with a lack of clinical cognitive functional impairments (such as Mild Cognitive Impairment: MCI) even in the instance of SCC, while SCC is more often associated with manifest cognitive impairments (e.g. MCI) in persons with a lower cognitive reserve (Stern & JINS 2002; Caracciolo et al. 2012; Stern 2009). SCC has also been found to be associated with the use of more compensatory strategies such as increased effort, cognitive strategies and use of external aids/tools (Garrett et al. 2010). These reported phenomena converge with others’ findings of compensatory neural activation patterns during episodic (Erk et al. 2011) and working memory tasks (Sandström et al. 2012) in individuals with SCC (compared to controls) even when no decrements in task performance are seen.

Hence, further studies of the relation between SCC and cognitive functioning should investigate the role of cognitive reserve and compensatory processes in more detail.

It is likely that there are costs to the compensatory activities, such as greater fatigability and loss of energy that hamper cognitive functionality across longer time spans and that this is perceived by the individual. In light of (1) the research on compensatory activities that can uphold momentary cognitive performance when cognitive problems are self-perceived (Erk et al. 2011; Stern 2009), and (2) the aging literature that is converging on the importance of SCC (even without detectable cognitive impairments) as an early marker of actual underlying functional brain changes (Stewart 2012), then the present findings of cross-sectional relationships between SCC and cognitive functioning (IFR during DA) may be an important indicator that actual neurocognitive functioning is implicated also in non-elderly adults with SCC.

However, it is important to keep in mind that multiple factors could lead to SCC also without any actual deficits in cognitive functioning being present, which could explain some of the variance in SCC that is not be explained by actual cognitive impairments that are stable rather than momentary. For example, cognitive overload and temporary resource depletion could lead to the perception of cognitive problems which may be accurate observations of cognitive failures in daily life without reflecting low cognitive functioning per se. However, the experience of cognitive overload and resource depletion under certain levels of pressure can lead to stress reactions and low mood that are suboptimal for executive cognitive function. Negative affectivity and poor self-regard could also colour the self-rated cognitive functioning level negatively without any actual cognitive impairments being present, although such conditions are also related to actual cognitive performance decrements due to hyper-arousal, ruminations and cognitive biases that can obstacle performance in certain situations and certain cognitive tasks (Murrough et al. 2011).

Strengths and Limitations

The current study was performed on a sample of cases and controls that is approximately representative of the general working population in Sweden, with well case-matched controls, and utilizing well validated tests of memory functioning.

The study participants were mainly women, due to a higher prevalence of high SCC among women in the working population. This means that the study results may be more representative of gainfully employed women than men.

The cross-sectional design of this study does not allow for causal inferences about which types of symptoms may be the causes of other symptoms and of poorer cognitive functioning, when considering the overlap between executive cognitive function, SCC, exhaustion symptoms, depressive symptoms and sleeping problems.

Furthermore, more studies of SCC among employees are needed which investigate executive cognitive functioning in more detail, utilizing several different executive cognitive tests, to confirm that SCC among employees are in fact related to poorer functioning of executive cognitive processes.

Conclusions

The current findings showed that working adults presenting with a high level of SCC had poorer memory performance during DA conditions- which is the common conditions under which people have operate in their work. The finding suggests that executive cognitive functioning may be implicated in this group and that this could be targeted in curative and preventive interventions for SCC among employees.

The findings add to the understanding of what characterizes subjective cognitive complaints in the work force and can help to guide preventive measures and interventions at different levels of society (health care, human resource management and work design) that can ease problems with cognitive complaints and the specific implicated cognitive functioning deficits. This is particularly relevant with an aging work force that need to stay working for longer, while at the same time many jobs and work environments increasingly involve high cognitive demands.

Additionally, as these deficits may partly stem from one or several problems with depressive symptoms, chronic stress/exhaustion and sleeping problems, these factors should also be considered in prevention and interventions for SCC.

Authors’ information

This research was supported by grants from the Swedish Council for Working Life and Social Research (Dnr 2009-0764) and Afa Insurance (Dnr 090283) awarded to Lars-Göran Nilsson.

Abbreviations

SCC:

Subjective cognitive complaints

IFR:

Immediate free recall

FA:

Focused attention

DA:

Divided attention.

References

  • Åkerstedt T, Knutsson A, Westerholm P, Theorell T, Alfredsson L, Kecklund G: Sleep disturbances, work stress and work hours: a cross-sectional study. Journal of Psychosomatic Research. 2002, 53 (3): 741-748. 10.1016/S0022-3999(02)00333-1.

    Article  PubMed  Google Scholar 

  • Åkerstedt T, Ingre M, Broman JE, Kecklund G: Disturbed sleep in shift workers, day workers, and insomniacs. Chronobiology International. 2008, 25 (2): 333-348.

    Article  PubMed  Google Scholar 

  • Albertsen K, Rugulies R, Garde AH, Burr H: The effect of the work environment and performance-based self-esteem on cognitive stress symptoms among Danish knowledge workers. Scandinavian Journal of Public Health. 2010, 38 (3 Suppl): 81-89. 10.1177/1403494809352104.

    Article  PubMed  Google Scholar 

  • Almkvist O, Tallberg IM: Cognitive decline from estimated premorbid status predicts neurodegeneration in Alzheimer's disease. Neuropsychology. 2009, 23 (1): 117-124.

    Article  PubMed  Google Scholar 

  • Almkvist O, Adveen M, Henning L, Tallberg IM: Estimation of premorbid cognitive function based on word knowledge: the Swedish Lexical Decision Test (SLDT). Scandinavian Journal of Psychology. 2007, 48 (3): 271-279. 10.1111/j.1467-9450.2007.00575.x.

    Article  PubMed  Google Scholar 

  • Arnsten AF: Stress signalling pathways that impair prefrontal cortex structure and function. Nature reviews Neuroscience. 2009, 10 (6): 410-422. 10.1038/nrn2648.

    Article  PubMed  PubMed Central  Google Scholar 

  • Bassett SS, Folstein MF: Memory complaint, memory performance, and psychiatric diagnosis: a community study. Journal of Geriatric Psychiatry and Neurology. 1993, 6 (2): 105-111.

    Article  PubMed  Google Scholar 

  • Birn RM, Kenworthy L, Case L, Caravella R, Jones TB, Bandettini PA, Martin A: Neural systems supporting lexical search guided by letter and semantic category cues: a self-paced overt response fMRI study of verbal fluency. NeuroImage . 2010, 49 (1): 1099-1107. 10.1016/j.neuroimage.2009.07.036.

    Article  PubMed  Google Scholar 

  • Caracciolo B, Gatz M, Xu W, Pedersen NL, Fratiglioni L: Differential distribution of subjective and objective cognitive impairment in the population: a nation-wide twin-study. Journal of Alzheimer's Disease. 2012, 29 (2): 393-403.

    PubMed  PubMed Central  Google Scholar 

  • de Leon JM R-S, Llanero-Luque M, Lozoya-Delgado P, Fernandez-Blazquez MA, Pedrero-Perez EJ: [Neuropsychological study of young adults with subjective memory complaints: involvement of the executive functions and other associated frontal symptoms]. Rev Neurol. 2010, 51 (11): 650-660.

    Google Scholar 

  • Dureman I: SRB: 1. 1960, Stockholm: Psykologiförlaget

    Google Scholar 

  • Erk S, Spottke A, Meisen A, Wagner M, Walter H, Jessen F: Evidence of neuronal compensation during episodic memory in subjective memory impairment. Archives of General Psychiatry. 2011, 68 (8): 845-852. 10.1001/archgenpsychiatry.2011.80.

    Article  PubMed  Google Scholar 

  • Garrett DD, Grady CL, Hasher L: Everyday memory compensation: the impact of cognitive reserve, subjective memory, and stress. Psychology and Aging. 2010, 25 (1): 74-83.

    Article  PubMed  Google Scholar 

  • Geerlings MI, Jonker C, Bouter LM, Ader HJ, Schmand B: Memory complaints are associated with incident Alzheimer's disease in elderly people with normal baseline cognition. Zeitschrift für Gerontologie und Geriatrie. 1999, 32 (2): 142-142.

    Google Scholar 

  • Hohman TJ, Beason-Held LL, Lamar M, Resnick SM: Subjective cognitive complaints and longitudinal changes in memory and brain function. Neuropsychology. 2011, 25 (1): 125-130.

    Article  PubMed  PubMed Central  Google Scholar 

  • Jessen F, Wiese B, Bachmann C, Eifflaender-Gorfer S, Haller F, Kolsch H, Luck T, Mosch E, van den Bussche H, Wagner M: Prediction of dementia by subjective memory impairment: effects of severity and temporal association with cognitive impairment. Archives of General Psychiatry. 2010, 67 (4): 414-422. 10.1001/archgenpsychiatry.2010.30.

    Article  PubMed  Google Scholar 

  • Jonker C, Launer LJ, Hooijer C, Lindeboom J: Memory complaints and memory impairment in older individuals. Journal of the American Geriatrics Society. 1996, 44 (1): 44-49.

    Article  PubMed  Google Scholar 

  • Jonker C, Geerlings MI, Schmand B: Are memory complaints predictive for dementia? A review of clinical and population-based studies. International Journal of Geriatric Psychiatry. 2000, 15 (11): 983-991. 10.1002/1099-1166(200011)15:11<983::AID-GPS238>3.0.CO;2-5.

    Article  PubMed  Google Scholar 

  • Juster RP, McEwen BS, Lupien SJ: Allostatic load biomarkers of chronic stress and impact on health and cognition. Neuroscience and Biobehavioral Reviews. 2010, 35 (1): 2-16. 10.1016/j.neubiorev.2009.10.002.

    Article  PubMed  Google Scholar 

  • Karlson B, Malmberg B, Hansen AM: A follow-up of cognitive performance and diurnal salivary cortisol changes in former burnout patients. Stress. 2012, 15: 589-600. 10.3109/10253890.2011.648972.

    Article  PubMed  Google Scholar 

  • Kaufman AS, Horn JL: Age changes on tests of fluid and crystallized ability for women and men on the Kaufman Adolescent and Adult Intelligence Test (KAIT) at ages 17-94 years. Archives of Clinical Neuropsychology. 1996, 11 (2): 97-121.

    PubMed  Google Scholar 

  • Kecklund G, Åkerstedt T: The psychometric properties of the Karolinska Sleep Questionnaire. Journal of Sleep Research. 1992, Suppl 1: 113-

    Google Scholar 

  • Kim AS, Vallesi A, Picton TW, Tulving E: Cognitive association formation in episodic memory: evidence from event-related potentials. Neuropsychologia. 2009, 47 (14): 3162-3173. 10.1016/j.neuropsychologia.2009.07.015.

    Article  PubMed  Google Scholar 

  • Kompus K, Olsson CJ, Larsson A, Nyberg L: Dynamic switching between semantic and episodic memory systems. Neuropsychologia. 2009, 47 (11): 2252-2260. 10.1016/j.neuropsychologia.2008.11.031.

    Article  PubMed  Google Scholar 

  • Kristensen TS, Hannerz H, Hogh A, Borg V: The Copenhagen Psychosocial Questionnaire–a tool for the assessment and improvement of the psychosocial work environment. Scand J Work Environ Health. 2005, 31 (6): 438-449. 10.5271/sjweh.948.

    Article  PubMed  Google Scholar 

  • Lam LC, Lui VW, Tam CW, Chiu HF: Subjective memory complaints in Chinese subjects with mild cognitive impairment and early Alzheimer's disease. International Journal of Geriatric Psychiatry. 2005, 20 (9): 876-882. 10.1002/gps.1370.

    Article  PubMed  Google Scholar 

  • Leineweber C, Baltzer M, Magnusson Hanson LL, Westerlund H: Work-family conflict and health in Swedish working women and men: a 2-year prospective analysis (the SLOSH study). European Journal of Public Health. 2012, doi: 10.1093/eurpub/cks064

    Google Scholar 

  • Lipmann R: Depression scales derived from Hopkins Symptom Checklist. Assessment of depression. Edited by: Sartorius N, Bann T. 1986, Berlin: Springer

    Google Scholar 

  • Liston C, McEwen BS, Casey BJ: Psychosocial stress reversibly disrupts prefrontal processing and attentional control. Proceedings of the National Academy of Sciences of the United States of America. 2009, 106 (3): 912-917. 10.1073/pnas.0807041106.

    Article  PubMed  PubMed Central  Google Scholar 

  • Lozoya-Delgado P, de Leon JM R-S, Pedrero-Perez EJ: [Validation of a cognitive complaints questionnaire for young adults: the relation between subjective memory complaints, prefrontal symptoms and perceived stress]. Rev Neurol. 2012, 54 (3): 137-150.

    PubMed  Google Scholar 

  • Magnusson Hanson L, Theorell T, Oxenstierna G, Hyde M, Westerlund H: Demand, control and social climate as predictors of emotional exhaustion symptoms in working Swedish men and women. Scandinavian Journal of Public Health. 2008, 36 (7): 737-743. 10.1177/1403494808090164.

    Article  PubMed  Google Scholar 

  • Magnusson Hanson L, Theorell T, Bech P, Rugulies R, Burr H, Hyde M, Oxenstierna G, Westerlund H: Psychosocial working conditions and depressive symptoms among Swedish employees. International archives of occupational and environmental health. 2009, 82 (8): 951-960. 10.1007/s00420-009-0406-9.

    Article  PubMed  Google Scholar 

  • McEwen BS, Gianaros PJ: Stress- and allostasis-induced brain plasticity. Annual Review of Medicine. 2011, 62: 431-445. 10.1146/annurev-med-052209-100430.

    Article  PubMed  PubMed Central  Google Scholar 

  • Murrough JW, Iacoviello B, Neumeister A, Charney DS, Iosifescu DV: Cognitive dysfunction in depression: neurocircuitry and new therapeutic strategies. Neurobiology of Learning and Memory. 2011, 96 (4): 553-563. 10.1016/j.nlm.2011.06.006.

    Article  PubMed  Google Scholar 

  • Nilsson LG, Backman L, Erngrund K, Nyberg L, Adolfsson R, Bucht G, Karlsson S, Widing M, Winblad B: The Betula prospective cohort study: Memory, health and aging. Aging, Neuropsychology, and Cognition. 1997, 4 (1): 1-32. 10.1080/13825589708256633.

    Article  Google Scholar 

  • Nilsson LG, Adolfsson R, Backman L, de Frias CM, Molander B, Nyberg L: Betula: A prospective cohort study on memory, health and aging. Aging, Neuropsychology, and Cognition. 2004, 11 (2–3): 134-148.

    Article  Google Scholar 

  • Podewils LJ, McLay RN, Rebok GW, Lyketsos CG: Relationship of self-perceptions of memory and worry to objective measures of memory and cognition in the general population. Psychosomatics. 2003, 44 (6): 461-470. 10.1176/appi.psy.44.6.461.

    Article  PubMed  Google Scholar 

  • Ponds RWHM, Commissaris KJAM, Jolles J: Prevalence and covariates of subjective forgetfulness in a normal population in the Netherlands. International Journal of Aging & Human Development. 1997, 45 (3): 207-221. 10.2190/MVQ1-WB58-875H-Y4X0.

    Article  Google Scholar 

  • Qin S, Hermans EJ, van Marle HJ, Luo J, Fernandez G: Acute psychological stress reduces working memory-related activity in the dorsolateral prefrontal cortex. Biological psychiatry. 2009, 66 (1): 25-32. 10.1016/j.biopsych.2009.03.006.

    Article  PubMed  Google Scholar 

  • Reid LM, Maclullich AM: Subjective memory complaints and cognitive impairment in older people. Dementia and Geriatric Cognitive Disorders. 2006, 22 (5–6): 471-485.

    Article  PubMed  Google Scholar 

  • Reid M, Parkinson L, Gibson R, Schofield P, D'Este C, Attia J, Tavener M, Byles J: Memory complaint questionnaire performed poorly as screening tool: validation against psychometric tests and affective measures. Journal of Clinical Epidemiology. 2012, 65 (2): 199-205. 10.1016/j.jclinepi.2011.06.006.

    Article  PubMed  Google Scholar 

  • Reisberg B, Shulman MB, Torossian C, Leng L, Zhu W: Outcome over seven years of healthy adults with and without subjective cognitive impairment. Alzheimers & Dementia. 2010, 6 (1): 11-24. 10.1016/j.jalz.2009.10.002.

    Article  Google Scholar 

  • Rijs KJ, Comijs HC, van den Kommer TN, Deeg DJ: Do employed and not employed 55 to 64-year-olds' memory complaints relate to memory performance? A longitudinal cohort study. European Journal of Public Health. 2012

    Google Scholar 

  • Salthouse TA, JINS: Selective review of cognitive aging. Journal of the International Neuropsychological Society: JINS. 2010, 16 (5): 754-760. 10.1017/S1355617710000706.

    Article  PubMed  PubMed Central  Google Scholar 

  • Sandström A, Säll R, Peterson J, Salami A, Larsson A, Olsson T, Nyberg L: Brain activation patterns in major depressive disorder and work stress-related long-term sick leave among Swedish females. Stress. 2012, 15: 503-513. 10.3109/10253890.2011.646347. doi:10.3109/10253890.2011.646347

    Article  PubMed  Google Scholar 

  • Schaufeli W, Enzmann D: The burnout companion to study and practice: a critical analysis. 1998, London: Philadelphia, PA: Taylor & Francis

    Google Scholar 

  • Scheef L, Spottke A, Daerr M, Joe A, Striepens N, Kolsch H, Popp J, Daamen M, Gorris D, Heneka MT: Glucose metabolism, gray matter structure, and memory decline in subjective memory impairment. Neurology. 2012, 79 (13): 1332-1339. 10.1212/WNL.0b013e31826c1a8d.

    Article  PubMed  Google Scholar 

  • Scholtissen-In de Braek DM, Hurks PP, van Boxtel MP, Dijkstra JB, Jolles J: The identification of attention complaints in the general population and their effect on quality of life. Journal of Attention Disorders. 2011, 15 (1): 46-55. 10.1177/1087054709347260.

    Article  PubMed  Google Scholar 

  • Setterlind S, Larsson G: The stress profile: A psychosocial approach to measuring stress. Stress Medicine. 1995, 11 (2): 85-92.

    Article  Google Scholar 

  • Stenfors C, Magnusson Hanson L, Theorell T, Oxenstierna G, Nilsson L-G: Psychosocial Working Conditions and Cognitive Complaints among Swedish Employees. PLoS One. 2013, 8: 4-

    Google Scholar 

  • Stern Y: Cognitive reserve. Neuropsychologia. 2009, 47 (10): 2015-2028. 10.1016/j.neuropsychologia.2009.03.004.

    Article  PubMed  PubMed Central  Google Scholar 

  • Stern Y, JINS: What is cognitive reserve? Theory and research application of the reserve concept. Journal of the International Neuropsychological Society: JINS. 2002, 8 (3): 448-460. 10.1017/S1355617702813248.

    Article  PubMed  Google Scholar 

  • Stewart R: Subjective cognitive impairment. Current Opinion in Psychiatry. 2012, 25 (6): 445-450. 10.1097/YCO.0b013e3283586fd8.

    Article  PubMed  Google Scholar 

  • Striepens N, Scheef L, Wind A, Popp J, Spottke A, Cooper-Mahkorn D, Suliman H, Wagner M, Schild HH, Jessen F: Volume loss of the medial temporal lobe structures in subjective memory impairment. Dementia and Geriatric Cognitive Disorders. 2010, 29 (1): 75-81. 10.1159/000264630.

    Article  PubMed  Google Scholar 

  • Treves TA, Verchovsky R, Klimovitzky S, Korczyn AD, IPA: Incidence of dementia in patients with subjective memory complaints. International Psychogeriatrics. 2005, 17 (2): 265-273. 10.1017/S1041610205001596.

    Article  PubMed  Google Scholar 

  • Tulving E: Memory systems and the brain. Clinical Neuropharmacology. 1992, 15 (Suppl 1 Pt A): 327A-328A.

    Article  PubMed  Google Scholar 

  • Tulving E: Episodic memory: from mind to brain. Annual Review of Psychology. 2002, 53: 1-25. 10.1146/annurev.psych.53.100901.135114.

    Article  PubMed  Google Scholar 

  • Vestergren P, Nilsson LG: Perceived Causes of Everyday Memory Problems in a Population-based Sample Aged 39-99. Applied Cognitive Psychology. 2011, 25 (4): 641-646. 10.1002/acp.1734.

    Article  Google Scholar 

  • Vingård E, Josephson M, Larsson S, Lindberg P, Hallsten L, Heijbel B, Isaksson K, Arons-son G: Hållbar arbetshälsa i kommuner och landsting – en lägesrapport i mars 2001. 2001, Stockholm: Department of Clinical Neuroscience, Karolinska Institute

    Google Scholar 

  • Walker MP: Cognitive consequences of sleep and sleep loss. Sleep Medicine. 2008, 9 (Suppl 1): S29-S34.

    Article  PubMed  Google Scholar 

  • Walker MP: The role of sleep in cognition and emotion. Annals of the New York Academy of Sciences. 2009, 1156: 168-197. 10.1111/j.1749-6632.2009.04416.x.

    Article  PubMed  Google Scholar 

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Acknowledgements

We thank the participants of the study; our colleagues at the Department of Psychology and the Stress Research Institute at Stockholm University; and our collaborators at the Institute of Stress Medicine, Gothenburg.

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This research was supported by grants from the Swedish Council for Working Life and Social Research (LGN, CUDS: Dnr 2009-0764), http://www.fas.se/en/; and Afa Insurance (LGN, CUDS: Dnr 090283), http://www.afaforsakring.se/Andra-sprak/Engelska/.

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Correspondence to Cecilia UD Stenfors.

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Conception and design: CUDS, LGN, TT, LMH, PM. Acquisition of data: CUDS, Analysis and interpretation of data: CUDS, LGN. Drafting of the manuscript: CUDS. Critical revision of the manuscript and approval of the manuscript for publication: CUDS, LGN, TT, LMH, PM. All authors read and approved the final manuscript.

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Stenfors, C.U., Marklund, P., Magnusson Hanson, L.L. et al. Are subjective cognitive complaints related to memory functioning in the working population?. BMC Psychol 2, 3 (2014). https://doi.org/10.1186/2050-7283-2-3

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