The relationship between moderate-to-vigorous physical activity and executive function among individuals with schizophrenia: differences by illness duration

Abstract

Objective:

Schizophrenia is a chronic mental illness characterized by positive and negative symptoms. Cognitive impairment continues to be a core and consistent deficit. Previous studies have shown that physical activity (PA) is positively associated with cognitive performance. Thus, it may play a supportive role in mitigating cognitive impairments among individuals with schizophrenia. The aim of this study was to analyze the relationship between moderate-to-vigorous physical activity (MVPA) and executive function among adults with schizophrenia.

Methods:

The weekly amount of MVPA (assessed using accelerometers) and executive function (as per Brief Neurocognitive Assessment for Schizophrenia) of 78 adults with schizophrenia (mean [SD] age 42.4 [11.4] years; illness duration 17.0 [11.0] years; 58.2% male) were assessed in this cross-sectional study. Pearson correlations were calculated, followed by a linear regression. Participants were first analyzed together and then dichotomized on the basis of illness duration.

Results:

There was no significant association between MVPA and executive function, independent of the duration of illness. For individuals with < 15 years of illness, there was a significant association between weekly MVPA and working memory performance.

Conclusion:

PA appears to be associated with executive function in some, but not all, individuals with schizophrenia.

Accelerometry; executive function; physical activity; schizophrenia

Introduction

Schizophrenia is a chronic mental illness characterized by disorders of perception and thinking.¹ Individuals with this illness often present positive (e.g., hallucination, delusion, and thought disorders) and negative symptoms (e.g., avolition, apathy, and social dysfunction).² Cognitive impairment is also common, and has a significant, detrimental impact on quality of life and functional outcome. Deficits vary among individuals, but often affect multiple cognitive domains, such as attention, executive function, memory, social cognition, and language.³,⁴

Although antipsychotic drugs can improve many symptoms of this disease, treatment has little effect on alleviating cognitive impairment.⁵-⁷ Since cognitive function is a strong predictor of functional outcomes,⁸ it is critical to explore new strategies to attenuate this impairment. One such strategy may be through physical activity (PA). PA has been shown to improve cognitive function in individuals with different chronic health conditions, including dementia, attention-deficit hyperactivity disorder, and depression.⁹-¹¹ Some studies have suggested that even low doses of moderate-to-vigorous physical activity (MVPA), e.g., 10-minute bouts, can have a positive influence on cognitive function.¹²,¹³

Studies conducted with healthy adults show a positive association between PA and executive function (namely, attention control and working memory).¹⁴-¹⁶ These benefits are postulated to be influenced by increases in neurotrophic factors (e.g., brain-derived neurotrophic factor and insulin growth factor 1), in brain volume, and/or cerebral blood flow.¹⁷,¹⁸ This association between PA and executive function also seems to hold true among individuals with schizophrenia.¹⁹-²² In a recent meta-analysis, Firth et al.²² demonstrated that PA interventions can improve global cognition and several sub-domains of cognition (working memory, social cognition, and attention/vigilance). Cross-sectional studies have also demonstrated a relationship of PA and sedentary behavior with cognitive function.¹⁹-²¹,²³ A recent study demonstrated an independent and negative association between cognitive performance and sedentary behavior and/or physical inactivity.²¹ However, MVPA is positively associated with cognitive performance.¹⁹,²⁰ Leutwyler et al.¹⁹ evaluated older adults with schizophrenia using an objective measure of MVPA and demonstrated that speed of processing (category fluency) and working memory (assessed with a letter-numbers span task) were positively associated with MVPA. However, the authors did not control for potential confounders, such as demographic factors (e.g., level of education) and clinical features (e.g., years of illness), that may explain the association between PA and executive functioning. Chen et al.²⁰ conducted a similar study with adult inpatients and controlled for some demographic and clinical variables, including age, body mass index (BMI), metabolic parameters, and medication use. They reported a positive association between attention and concentration (assessed with the Cognitrone test) and speed of processing (motor process/grooved pegboard test) and MVPA. Given the limited extent of existing research and the inconsistency in reported findings, further investigations are warranted to explore the potential role of PA in moderating the common cognitive dysfunction seen in individuals with schizophrenia.

Within this context, the aim of this study was to analyze the relationship between weekly minutes engaged in MVPA and executive function among adults with schizophrenia, controlling for potential demographic and clinical confounders. We hypothesized that higher levels of MVPA would be associated with superior performance on cognitive function tasks, while taking into account that such an association might vary with illness duration, as previous studies have shown that, although cognitive function deteriorates gradually through the course of illness, this process is not linear.²⁴-²⁶

Methods

Participants

Individuals with schizophrenia were recruited from the Centre for Addiction and Mental Health (CAMH), Toronto, Canada. The following inclusion criteria were established: 1) adults aged 18-64 years (in line with the age range of PA guidelines for adults in Canada); 2) inpatients and outpatients diagnosed with schizophrenia, schizoaffective disorder, or psychosis not-otherwise-specified (NOS); and 3) no changes in antipsychotic treatment in the preceding 4 weeks. Participants were excluded if: 1) they had been hospitalized in the past 12 months for angina pectoris, myocardial infarction, or cardiac surgery of any kind; or 2) had uncontrolled hypertension (defined as blood pressure > 140/90 mmHg).

Overall, 140 participants enrolled in the study, of whom 62 were excluded due to: failure to complete the executive function task (n=45), incomplete accelerometry data (n=11), or missing data related to their disease (illness duration, n=1; antipsychotic medication, n=4). One more participant was excluded due to being an outlier on the executive function performance task (n=1). This reduced the final sample size to 78. There were no differences between the excluded participants and those included in any variables except age and sex: those excluded were younger (37.25±11.01) and were more likely to be male (87.5%).

Procedures

Data collection began in May 2014 and concluded in April 2015. The Mini-International Neuropsychiatric Interview (MINI)²⁷ was used to confirm diagnosis during the first session. Participants also provided basic demographic, clinical, and anthropometric information during this visit. During session two, participants completed the Symbol Coding and Letters and Numbers Span tests of the Brief Neurocognitive Assessment for Schizophrenia (BNAS) to assess executive function and were asked to wear an accelerometer for 7 consecutive days to obtain a measure of PA. This study was part of a larger project examining the determinants of PA in this population.²⁸ Ethics approval was received from CAMH and the University of Toronto Research Ethics Boards. Participants had their capacity to consent evaluated at the beginning of the study using the MacArthur Competence Assessment Tool for Clinical Research (MacCAT-CR).²⁹ Participants were included only if they were considered able to provide written consent.

Measures

Executive function/attention

Executive function was evaluated using the BNAS,³⁰ which includes two tasks. In the first task (Letters and Numbers Span task) (University of Maryland), participants were asked to reorder intermixed sequences of letters and numbers.³¹ In the second, the Symbol Coding task, participants were asked to transcribe numbers to their corresponding symbols to test speed processing and attention.⁷ Previous research has shown the BNAS to be a reliable and valid neurocognitive assessment for patients with schizophrenia.³⁰

Physical activity (PA)

PA was measured using an Actigraph wGT3X+ accelerometer. Participants were instructed to wear the device on their right hip for 7 consecutive days. Accelerometry data were analyzed using the Actigraph Actilife program (v6.12). Wear time was validated using the algorithm developed by Choi et al.³² A valid wear day was considered to be 600 minutes of wear time, while a valid week was defined at least 4 valid days within the 7-day period.³³,³⁴ The PA cutoffs established by Troiano et al.³⁴ were used to determine time spent in MVPA (≥ 2,020 counts per minute), with only bouts of MVPA lasting at least 10 minutes being included, as per PA guidelines.³⁵ Weekly MVPA was then calculated using the average daily MVPA among valid wear days, multiplied across the 7 days. According to PA guidelines, adults should participate in at least 150 minutes of MVPA per week.³⁵ Thus, the sample was categorized into two levels for descriptive analysis: those who met PA guidelines and those who did not.

Covariates

A range of covariates was assessed. These included medication dosage (chlorpromazine equivalents), illness duration, and educational attainment.

Chlorpromazine equivalents (CPZ)

As studies have shown that some antipsychotics could modestly improve cognitive function performance,⁵,⁶ it is important to include antipsychotic dosage in analyses. CPZ has clinical and research applications by estimating the dose equivalence across different antipsychotic medications. For this study, each participant’s current antipsychotic dosage was calculated as per Gardner et al.³⁶

Illness duration

Considering that the relationship between cognitive function and illness duration may not be linear,²⁴-²⁶ and that illness duration is used as an approximation to the stage of illness,²⁵ the sample was dichotomized on the basis of illness duration using a median split (median = 14.17 years; first quartile = 9.42; third quartile = 24.33 years; ≤ 15 years [n=44] vs. > 15 years [n=34]).

Level of education

Educational attainment has been consistently shown to be associated with cognitive function.³⁷,³⁸ This variable was dichotomized into two categories: a) lower education (participants without a high school diploma); and b) higher education (those with a high school diploma).

Data analyses

All analyses were conducted using SPSS version 23. Data cleaning procedures were conducted to examine univariate outliers and normality.³⁹ Main analyses were first conducted on all participants together, followed by a dichotomized analysis. Differences in demographic and clinical variables, MVPA, and executive function between the two dichotomized illness groups (≤ 15 and > 15 years of illness) were compared using an independent-sample t-test or chi-square analyses as appropriate. The relationships between MVPA, CPZ, and executive function were analyzed using Pearson’s correlations. Variables that showed a significant (p < 0.05) correlation were included in the linear regression models. Two regression models were constructed for all participants, and then for the dichotomized illness groups (≤15 and > 15 years of illness). In the first model, the Symbol Coding task was used to predict weekly MVPA, while the second model used the Letters and Numbers Span task as a predictor of weekly MVPA (controlling for significant demographic variables). Significance was set at p < 0.05 in all analyses.

Results

Group differences

Descriptive characteristics of the sample are presented in Table 1, for all participants and stratified by years of illness (≤ 15-YoI and > 15-YoI). As expected, between-group, independent t-tests revealed that individuals in the > 15-YoI group were older (t = -8.66, p < 0.001) than individuals in the ≤ 15-YoI group. No other significant differences between these groups emerged on any other demographic or anthropometric variables, such as BMI, CPZ, gender, smoking habits, and education (p > 0.05).

Table 1
Descriptive statistics and differences between groups

	All participants (n=78)	≤ 15 years of illness (n=44)	> 15 years of illness (n=34)
Age (years), mean (SD)	42.39 (11.44)	35.27 (8.92)	51.34 (7.17)*
Gender (male)	46 (58.2)	25 (56.8)	21 (60.0)
Smoking (nonsmoker or past smoker)	43 (54.4)	24 (54.5)	19 (54.3)
BMI (kg/m2), mean (SD)	31.67 (8.04)	32.60 (9.14)	30.51 (6.32)
Illness duration (years), mean (SD)	17.06 (10.99)	9.17 (4.10)	26.73 (8.40)*
CPZ (mg/day), mean (SD)	559.19 (394.08)	521.73 (312.98)	606.29 (477.80)
Diagnosis†
Schizophrenia	48 (60.8)	32 (72.7)	16 (45.7)
Schizoaffective disorder	30 (38.0)	12 (27.3)	18 (51.4)
Psychosis NOS	1 (1.3)	0 (0.0)	1 (2.9)
Education
High school diploma	64 (81)	37 (84.1)	27 (77.1)
No high school diploma	14 (17.7)	6 (13.6)	8 (22.9)
Other	1 (1.3)	1 (2.3)	0 (0.0)
Executive function, mean (SD)
Symbol Coding	44.03 (12.33)	49.88 (12.05)	36.83 (8.25)*
Letters and Numbers Span	13.13 (3.47)	13.66 (3.23)	12.44 (3.70)
Met PA guidelines†
Yes	48 (60.8)	32 (72.7)	16 (45.7)
No	31 (39.2)	12 (27.3)	19 (54.3)
MVPA, mean (SD)
Total MVPA (minutes/week)	252.77 (206.61)	289.26 (197.71)	206.90 (211.20)
MVPA time per bout (minutes)	15.04 (5.02)	15.85 (5.87)	14.02 (3.49)

• Data presented as n (%), unless otherwise specified.
• CPZ = chlorpromazine equivalents; MVPA = moderate-to-vigorous physical activity; NOS = not otherwise specified; SD = standard deviation.
• ^*
  p < 0.001 and
• ^†
  p < 0.05 for differences between ≤ 15 years of illness and > 15 years of illness.

There was a higher proportion of individuals with schizophrenia in the ≤ 15-YoI group, while the > 15-YoI group showed a higher proportion of individuals with a diagnosis of schizoaffective disorder (χ² = 6.59, p = 0.04). No significant between-group differences were found in total time spent in MVPA per week (t = 1.78, p > 0.05). However, a higher proportion of participants in the ≤ 15-YoI group met the PA guidelines of 150 minutes of MVPA per week (χ² = 4.89, p = 0.03; > 150 minutes of PA per week) compared to those in the > 15-YoI group. Furthermore, individuals in the ≤ 15-YoI group performed significantly better on the Symbol Coding task (t = -5.45, p < 0.001) when compared to those individuals in the > 15-YoI group. However, there was no difference between these groups on the Letters and Numbers Task (t = -1.55, p > 0.05).

Associations between executive functioning and moderate-to-vigorous physical activity (MVPA) and chlorpromazine equivalents (CPZ) in the sample as a whole

Table 2 presents the correlations between performance on the executive function tasks, MVPA, and CPZ. CPZ correlated negatively with assessments of executive function. There were also significant correlations between illness duration and performance on the Symbol Coding task (r = -0.52, p = < 0.001), total time spent in MVPA per week (r = -0.32, p = 0.005), and CPZ (r = 0.26, p = 0.024). Linear regression identified that CPZ and illness duration were the only significant predictors of performance in the Symbol Coding task (Table 3); MVPA and level of education were not significant predictors. Illness duration was, however, a significant predictor of MVPA (β = -0.32, t = -2.92, p = 0.005; adj. R² = 0.09, F_1,77 = 8.55, p = 0.005).

Table 2
Correlation between executive function, MVPA, and chlorpromazine equivalents

	Executive function
	Symbol Coding	Letters and Numbers Span	MVPA	CPZ
All participants
Executive function
Symbol Coding	-
Letters and Numbers Span	0.54*	-
MVPA	0.17	0.09	-
CPZ	-0.34*	-0.23†	-0.03	-
≤15 years of illness
Executive function
Symbol Coding	-
Letters and Numbers Span	0.57*	-
MVPA	0.17	0.34†	-
CPZ	-0.47*	-0.29	-0.18	-
> 15 years of illness
Executive function
Symbol Coding	-
Letters and Numbers Span	0.48*	-
MVPA	-0.02	-0.22	-
CPZ	-0.22	-0.16	0.107	-

• CPZ = chlorpromazine equivalents; MVPA = moderate-to-vigorous physical activity (minutes per week).
• ^*
  < 0.01
• ^†
  p < 0.05.

Table 3
Linear regression predicting executive function task performance for all participants

	All participants
	Symbol Coding				Letters and Numbers Span
Predictors	Adjusted R2	F for R2	β	t	Adjusted R2	F for R2	β	t
	0.32	12.71*			0.04	2.06
CPZ			-0.21	-2.15†			-0.21	-1.81
Illness duration			-0.43	-4.25*			-0.09	-0.76
Educational level			0.16	1.59			0.08	0.75

• CPZ = chlorpromazine equivalents; MVPA = moderate-to-vigorous physical activity.
• ^*
  < 0.001;
• ^†
  p < 0.05.

Associations between executive functioning and moderate-to-vigorous physical activity (MVPA) and chlorpromazine equivalents (CPZ) after dichotomization of illness duration (≤ 15 year of illness vs. > 15 year of illness)

There was no association between MVPA and executive function among individuals with more than 15 years of illness (Table 2). However, among participants with 15 or fewer years of illness, MVPA predicted performance on the Letters and Numbers Span task, but not on the Symbol Coding task, even when controlling for CPZ and educational level in the model (Table 4).

Table 4
Linear regression predicting executive function task performance for the participants with ≤ 15 years of illness

	≤ 15 years of illness
	Symbol Coding				Letters and Numbers Span
Step/predictors	Adjusted R2	F for R2	β	t	Adjusted R2	F for R2	β	t
Step 1	0.01	1.24			0.11	6.14*
MVPA			0.17	1.11			0.36	2.48*
Step 2	0.19	4.29*			0.13	3.11*
MVPA			0.05	0.32			0.32	2.09*
CPZ			-0.45	-3.16†			-0.26	-1.74
Educational level			0.13	0.39			-0.02	-0.14

• CPZ = chlorpromazine equivalents; MVPA = moderate-to-vigorous physical activity (minutes per week); Step 1 = linear regression between MVPA and executive function; Step 2 = linear regression between MVPA and executive function including demographical and clinical confounders.
• ^*
  p < 0.05;
• ^†
  < 0.01.

Discussion

Overall, this study demonstrated no relationship between MVPA and executive function in a general sample of individuals with schizophrenia or schizoaffective disorder. However, analyses did find an association between MVPA and performance on a working memory task for individuals with 15 or fewer years of illness. Among all participants, duration of illness was a predictor of MVPA, which supports Vancampfort’s finding of an association between physical fitness and illness duration that was independent of age.⁴⁰ Moreover, in our results, illness duration and dose of antipsychotics were also predictors of speed of processing and attention performance, as assessed by the Symbol Coding task. No association was shown between executive functioning and MVPA among those with more than 15 years of illness. This null result could be due to the chronicity of schizophrenia, particularly considering that these participants had demonstrated greater cognitive impairment (based on the Symbol Coding task), which is consistent with previous literature.²⁵,²⁶ Duration of illness appears to be an important factor to be considered further when exploring the relationship between PA (and MVPA in particular) and cognitive function.

For individuals with 15 or fewer years of illness, there was also no correlation between MVPA and speed of processing/attention. This null result is in line with the findings from a recent systematic review in a healthy population showing a small to no effect of PA level on the speed of processing.¹⁴ Although previous studies¹⁹,²⁰ with individuals with schizophrenia found a positive correlation between MVPA and speed of processing/attention, these findings should be treated with caution, as one study did not control for potential confounders and both assessed cognitive functioning differently.¹⁹,²⁰ Stubbs et al.²¹ demonstrated a negative association between speed of processing/attention and sedentary behavior (as well as physical inactivity); however, regarding PA specifically, a study by Kramer et al.⁴¹ showed that it is selectively related to tasks that require more extensive amounts of executive control. The working memory test used in the present study (i.e., the Letters and Numbers Span task) requires more executive control than the Symbol Coding task, and demonstrated a significant relationship with MVPA for those with 15 or fewer years of illness. This relationship remained when controlling for medication dosage. Thus, in our sample, the relationship between working memory and MVPA corroborates with previous cross-sectional and intervention studies evaluating individuals with¹⁹ and without schizophrenia.¹⁵,¹⁶ The present results extend the findings of Leutwyler et al.¹⁹ by demonstrating a relationship between working memory and MVPA even when controlling for medication dosage and level of education (for those with 15 or fewer years of illness). This relationship could be due to an increase in cerebral blood flow, neurotrophic factors, or even to an increase in brain volume.¹⁷,¹⁸,⁴²,⁴³

In brief, our results show that a higher level of MVPA is associated with better performance on a working memory task for those with 15 or fewer years of schizophrenia. Future experimental research should examine whether PA-mediated improvements in cognitive function have any clinical benefit.

There are some limitations in this study that need to be considered. First, we were unable to control for other potential confounders (e.g., smoking or BMI) due to the small sample size. Considering previous literature has shown an association between obesity and cognitive function,⁴⁴,⁴⁵ we also conducted additional analyses (data not shown) and found no association between cognitive function and BMI (p > 0.05) in this sample. Second, information about medical comorbidities was not collected. Future studies could control for these, especially those comorbidities that influence cognitive function (e.g., diabetes or respiratory diseases). Third, although accelerometers are accurate in assessing the volume of PA, they cannot determine which type of activity that participants engaged in. Type of activity might be an important moderator of the PA and cognitive functioning relationship. Fourth, the BNAS evaluates only some aspects of cognitive function. It is possible that the time spent in MVPA could be related to long-term memory or other aspects of executive function (e.g., inhibition, problem solving, and language) not assessed by the BNAS. Finally, the cross-sectional design of the study prevents any determination of causality and directionality. Previous research by Stubbs has shown that cognitive deficit is one of the key factors explaining the reduced amount of PA among individuals with schizophrenia.²³

In conclusion, PA does not appear to be associated with executive function for all individuals with schizophrenia. However, individuals with 15 or fewer years of illness who engaged in greater MVPA during the week of assessment performed better in terms of working memory. Further investigation is required to elucidate the potential role of PA in alleviating the cognitive dysfunction commonly experienced by individuals with schizophrenia.

In terms of clinical implications, it is known that PA is important to physical and mental health in this population.²²,⁴⁶ Cognitive deficits are common in schizophrenia, and PA may also play a role in attenuating such deficits. Therefore, health care professionals should be informed about these benefits and help patients increase PA.²²,²³ However, due to cognitive limitations, individuals with schizophrenia may require long-term support to maintain engagement in PA.⁴⁷

Acknowledgements

This work was supported by a Canadian Institutes of Health Research operating grant (PI: GEF). VG received financial support from Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq; grant no. 202987/2014-0). These funding sources had no further role in the study design, statistical analysis, and interpretation of findings, writing of the manuscript or in the decision to submit for publication. The authors thank the Centre for Addiction and Mental Health staff and the participants for volunteering their time for this study.

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Publication Dates

• Publication in this collection
  30 Mar 2017
• Date of issue
  Oct-Dec 2017

History

• Received
  11 Sept 2016
• Accepted
  3 Dec 2016