Influencing Factors on the Overestimation of Self-Reported Physical Activity: A Cross-Sectional Analysis of Low Back Pain Patients and Healthy Controls

Schaller, Andrea; Rudolf, Kevin; Dejonghe, Lea Anna Lisa; Grieben, Christopher; Froboese, Ingo

doi:10.1155/2016/1497213

Cited by 79 publications

(60 citation statements)

References 34 publications

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“…We observed that LBP did not introduce bias in self-reported MVPA if the interaction between accelerometer-based MVPA and LBP was removed from the model. This is in line with previous research (11,31) on bias introduced by musculoskeletal pain. Thus, our results illustrate the limitation of statistical models used in previous studies of differential bias.…”

Section: Gupta Et Alsupporting

confidence: 93%

Is self-reported time spent sedentary and in physical activity differentially biased by age, gender, body mass index, and low-back pain?

Gupta¹,

Heiden²,

Mathiassen³

et al. 2017

Scand J Work Environ Health

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As one of the first of its kind, this study found that age and low-back pain, but not body mass index and gender, introduce differential bias in self-reported time spent sedentary and in physical activity. We therefore recommend that self-reported information on these behaviors should be used with due caution in clinical practice, in research, as well as when designing health promotion programs. Key terms: age; back pain; bias; blue-collar worker; body mass index; body mass index; exposure modelling; gender; low-back pain; measurement error; musculoskeletal pain; pain; physical activity; questionnaire; sedentary; self-report; self-reported time This article in PubMed: www.ncbi.nlm.nih.gov/pubmed/29184965 Additional materialPlease note that there is additional material available belonging to this article on the Scandinavian Journal of Work, Environment & Health -website. Scand J Work Environ Health 2018, vol 44, no 2 163Original article Scand J Work Environ Health. 2018;44(2):163-170. doi:10.5271/sjweh.3693 Is self-reported time spent sedentary and in physical activity differentially biased by age, gender, body mass index, and low-back pain?by Nidhi Gupta, PhD, 1 Marina Heiden, PhD, 2 Svend Erik Mathiassen, PhD, 2 Andreas Holtermann, PhD 1,3 Gupta N, Heiden M, Mathiassen SE, Holtermann A. Is self-reported time spent sedentary and in physical activity differentially biased by age, gender, body mass index and low-back pain? Scand J Work Environ Health. 2018;44(2):163-170. doi:10.5271/sjweh.3693 Objectives This study aimed to determine the extent to which age, gender, body mass index (BMI) and lowback pain (LBP) influence bias in self-reported sedentary behavior and moderate-to-vigorous physical activity (MVPA) among blue-collar workers.Methods For 2-4 consecutive working days, 147 workers wore an Actigraph accelerometer on the thigh. Proportional time spent sedentary and in MVPA was determined using the Acti4 software. The same variables were also self-reported in a questionnaire. The difference between self-reported and accelerometer-based sedentary time and MVPA was calculated and linearly regressed against age, gender, BMI, and self-reported LBP intensity as main effects, as well as interaction terms combining each of these factors with objectively measured exposure.Results Workers objectively spent 64% of their time sedentary and 9% in MVPA. On average, self-reports underestimated sedentary time by 1.5% and overestimated MVPA by 5.5%. Workers with mild/no LBP appeared to have the same size of self-report bias in MVPA regardless of how much MVPA they actually had, while workers with high LBP overestimated MVPA to an increasing extent with increasing exposure [interaction: B=0.29, 95% confidence interval (CI) 0.05-0.53]. Age was positively associated with self-report bias in sedentary time (B=0.31, 95% CI 0.09-0.54) regardless of actual sedentary time.Conclusions LBP and age, but not BMI and gender, introduced differential bias in self-reported information on sedentary behavior and MVPA among blue-collar w...

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Section: Gupta Et Alsupporting

confidence: 93%

Is self-reported time spent sedentary and in physical activity differentially biased by age, gender, body mass index, and low-back pain?

Gupta¹,

Heiden²,

Mathiassen³

et al. 2017

Scand J Work Environ Health

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“…Again, only questionnaires and no objective assessments had been used in this past research. Schaller et al (2016), Rudolf et al (2016) and Prince et al (2008) found similar results.…”

Section: Discussionsupporting

confidence: 61%

The Fitness Status of German Managers and Executive Employers: A Study of Self-Perception and Reality

Jedlicka¹,

Hans-Georg²

2018

AJSPO

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The adoption of a health-oriented lifestyle by executive managers is an important factor influencing the success of an entire company. To the best of our knowledge, no study has investigated self-reported health and fitness statuses among managers and compared them with objectively measured parameters based on standardized exercise tests. Thus, the purpose of this study was to evaluate the congruence of the selfperceived and objectively measured health statuses of managers. Data for the retrospective cross-sectional study of 54 managers (51 males, 3 females, age: 46.1 ± 7.0 years, BMI 26.0 ± 3.2 kg/m2) were collected through medical health checkups. Besides the measurement of medical data, the managers estimated their own fitness and health in a questionnaire. The differences and associations between self-reported and objective measures (endurance and strength performance as measured through a to-exhaustion ergometer test and VO 2 max) were analyzed. Subsequently, the cohort was divided into four groups: realistic inactives, realistic actives, underestimators and overestimators. Significant associations were found between VO 2 max and self-rated endurance capacity (r = 0.41) and between performance, reached in the to-exhaustion ergometer test, and self-estimated strength (r = 0.29). The majority of subjects rated their endurance capacity (69%) and strength (65%) realistically with a tendency towards underestimation. The present study revealed that most managers had a satisfying health status and were able to rate their own physical endurance and strength performance correctly, with a tendency towards underestimation. These findings are important for prevention and health promotion programs for managers.

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“…Results showed a higher pain, impairment and fatigue in patients belonging to the apprehension avoidance group compared to patients with adaptive responses and, as expected, a lower physical activity. However, despite all these conditions, the measurement of physical activity is a challenge for the treatment, rehabilitation and promotion of healthy habits in patients suffering from non-oncologic chronic pain [124,131,132].…”

Section: Accelerometry-based Activity Evaluation and Chronic Painmentioning

confidence: 99%

“…The anxiety produced by the feeling of pain causes patients to behave in a self-protective manner, avoiding the type of movement that causes the pain [11]. However, and despite all these conditions, the measurement of physical activity remains a challenge in the treatment, rehabilitation, and health promotion of patients with chronic non-oncological pain [131]. Physical activity monitoring devices have the potential to help clinicians in multiple novel pain applications, such as surgeon support tools to provide personalized post-operative care [317].…”

Section: Future Trends and Conclusionmentioning

confidence: 99%

Sensor Technologies to Manage the Physiological Traits of Chronic Pain: A Review

Naranjo-Hernández

Reina‐Tosina

Roa

2020

Sensors

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Non-oncologic chronic pain is a common high-morbidity impairment worldwide and acknowledged as a condition with significant incidence on quality of life. Pain intensity is largely perceived as a subjective experience, what makes challenging its objective measurement. However, the physiological traces of pain make possible its correlation with vital signs, such as heart rate variability, skin conductance, electromyogram, etc., or health performance metrics derived from daily activity monitoring or facial expressions, which can be acquired with diverse sensor technologies and multisensory approaches. As the assessment and management of pain are essential issues for a wide range of clinical disorders and treatments, this paper reviews different sensor-based approaches applied to the objective evaluation of non-oncological chronic pain. The space of available technologies and resources aimed at pain assessment represent a diversified set of alternatives that can be exploited to address the multidimensional nature of pain.

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Influencing Factors on the Overestimation of Self-Reported Physical Activity: A Cross-Sectional Analysis of Low Back Pain Patients and Healthy Controls

Cited by 79 publications

References 34 publications

Is self-reported time spent sedentary and in physical activity differentially biased by age, gender, body mass index, and low-back pain?

Is self-reported time spent sedentary and in physical activity differentially biased by age, gender, body mass index, and low-back pain?

The Fitness Status of German Managers and Executive Employers: A Study of Self-Perception and Reality

Sensor Technologies to Manage the Physiological Traits of Chronic Pain: A Review

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