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Gupta, Nidhi
Publications (10 of 13) Show all publications
Gupta, N., Hallman, D., Dumuid, D., Vij, A., Lund Rasmussen, C., Birk Jørgensen, M. & Holtermann, A. (2020). Movement behavior profiles and obesity: a latent profile analysis of 24-h time-use composition among Danish workers. International Journal of Obesity, 44(2), 409-417
Open this publication in new window or tab >>Movement behavior profiles and obesity: a latent profile analysis of 24-h time-use composition among Danish workers
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2020 (English)In: International Journal of Obesity, ISSN 0307-0565, E-ISSN 1476-5497, Vol. 44, no 2, p. 409-417Article in journal (Refereed) Published
Abstract [en]

Background/objectives

An element of obesity prevention is increasing total physical activity energy expenditure. However, this approach does not incorporate the balance of various movement behaviors—physical activity, sedentary behaviors and sleep - across domains of the day. We aimed to identify time-use profiles over work and leisure, termed ‘movement behavior profiles’ and to investigate their association with obesity.

Subjects/methods

Eight-hundred-and-seven workers completed (a) thigh accelerometry and diaries to determine their 24-h composition of behaviors (sedentary and standing, light physical activity and moderate-to-vigorous physical activity at work and leisure, and time in bed) and (b) obesity measurements. Movement behavior profiles were determined using latent profile analyses of isometric log-ratios of the 24-h composition, and labeled according to animal movement behavior traits. Linear models were applied to determine the association between profiles and obesity.

Results

Four profiles were identified, labeled as “Chimpanzees” (n = 226), “Lions” (n = 179), “Ants” (n = 244), and “Koalas” (n = 158). “Chimpanzees” work time was evenly distributed between behaviors while their leisure time was predominantly active. Compared to Chimpanzees, “Lions” were more active at work and sedentary during leisure and spent more time in bed; “Ants” were more active at work and during leisure; “Koalas” were more sedentary at work and leisure and spent similar time in bed. With “Chimpanzees” as reference, “Lions” had least favorable obesity indicators: +2.0 (95% confidence interval [CI] 0.6, 3.4) %body fat, +4.3 cm (1.4, 7.3) waist circumference and +1.0 (2.0, 0.0) Body Mass Index (BMI), followed by “Koalas” +2.0 (0.4, 3.7) %body fat, +3.1 cm (0.1, 6.0) waist circumference, and +0.8 (−0.30, 1.94) BMI. No significant differences were found between “Chimpanzees” and “Ants”.

Conclusions

Movement behavior profiles across work and leisure time-use compositions are associated with obesity. Achieving adequate balance between work and leisure movement behaviors should be further investigated as a potential obesity prevention strategy.

Place, publisher, year, edition, pages
Nature Publishing Group, 2020
National Category
Occupational Health and Environmental Health
Research subject
Health-Promoting Work
Identifiers
urn:nbn:se:hig:diva-30568 (URN)10.1038/s41366-019-0419-8 (DOI)000510753800015 ()31341260 (PubMedID)2-s2.0-85069632196 (Scopus ID)
Note

Funding agency:

- Danish work environment research fund (journal number 01–2015–03) - Danish government (satspulje)

Available from: 2019-08-23 Created: 2019-08-23 Last updated: 2021-04-01Bibliographically approved
Hallman, D., Niklas, K., Jensen, M. T., Gupta, N., Birk Jørgensen, M. & Holtermann, A. (2019). Objectively measured sitting and standing in workers: Cross-sectional relationship with autonomic cardiac modulation. International Journal of Environmental Research and Public Health, 16(4), Article ID 650.
Open this publication in new window or tab >>Objectively measured sitting and standing in workers: Cross-sectional relationship with autonomic cardiac modulation
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2019 (English)In: International Journal of Environmental Research and Public Health, ISSN 1661-7827, E-ISSN 1660-4601, Vol. 16, no 4, article id 650Article in journal (Refereed) Published
Abstract [en]

Excessive sitting and standing are proposed risk factors for cardiovascular diseases (CVDs), possibly due to autonomic imbalance. This study examines the association of objectively measured sitting and standing with nocturnal autonomic cardiac modulation. The cross-sectional study examined 490 blue-collar workers in three Danish occupational sectors. Sitting and standing during work and leisure were assessed during 1–5 days using accelerometers. Heart rate (HR) and heart rate variability (HRV) were obtained during nocturnal sleep as markers of resting autonomic modulation. The associations of sitting and standing still (h/day) with HR and HRV were assessed with linear regression models, adjusted for age, gender, body mass index, smoking, and physical activity. More sitting time during leisure was associated with elevated HR (p = 0.02), and showed a trend towards reduced HRV. More standing time at work was associated with lower HR (p = 0.02), and with increased parasympathetic indices of HRV (root mean squared successive differences of R-R intervals p = 0.05; high-frequency power p = 0.07). These findings, while cross-sectional and restricted to blue-collar workers, suggest that sitting at leisure is detrimental to autonomic cardiac modulation, but standing at work is beneficial. However, the small effect size is likely insufficient to mitigate the previously shown detrimental effects of prolonged standing on CVD.

Keywords
age; accelerometer; cardiovascular disease; heart rate variability; occupational health; physical activity
National Category
Occupational Health and Environmental Health
Research subject
Health-Promoting Work
Identifiers
urn:nbn:se:hig:diva-29312 (URN)10.3390/ijerph16040650 (DOI)000460804900129 ()30813282 (PubMedID)2-s2.0-85062385075 (Scopus ID)
Note

Funding:

Danish Work Environment Research Fund Grant no: 11-2017-03 

Available from: 2019-02-19 Created: 2019-02-19 Last updated: 2021-04-01Bibliographically approved
Gupta, N., Hallman, D., Dumuid, D., Vij, A., Lund Rasmussen, C., Birk Jørgensen, M., . . . Holtermann, A. (2019). Physical-behavior profiles and aerobic capacity: A latent profile analysis of 24-hour time-use composition among Danish workers. In: ICAMPAM 2019: Oral Abstracts. Paper presented at ICAMPAM, June 26-28, Maastricht, The Netherlands. Maastricht: ICAMPAM, Article ID O.11.4.
Open this publication in new window or tab >>Physical-behavior profiles and aerobic capacity: A latent profile analysis of 24-hour time-use composition among Danish workers
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2019 (English)In: ICAMPAM 2019: Oral Abstracts, Maastricht: ICAMPAM , 2019, article id O.11.4Conference paper, Oral presentation with published abstract (Refereed)
Abstract [en]

Introduction Obtaining a balance between exercise and recovery is an established approach in Exercise Science to improve aerobic capacity. However, it is unknown how different 24-h time-use profiles depicting a balance between physical behaviors (i.e. physical activities, sedentary behavior and sleep) across main domains of the day are associated with aerobic capacity. We aimed to identify such 'physical-behavior (PB) profiles' and to investigate their association with aerobic capacity. Methods Workers (n=807) participated in thigh-accelerometry to determine 24-h time-use composition of physical activity, sedentary and standing during work and leisure, as well as time in bed. Åstrand submaximal cycle ergometer test was used to estimate aerobic capacity. The PB profiles were determined using latent profile analysis of isometric log-ratios representing the 24-hour composition. Linear models were applied to determine the cross-sectional association between physical-behavior profiles and aerobic capacity. Results Four PB profiles were identified that were labeled based on animal traits; Chimpanzees (n=226), Lions (n=179), Ants (n=244), and Koalas (n=158). Compared to Chimpanzees (at work, in mins; sedentary=197, standing=145, physical activity=117; and at leisure in mins; physical activity=114, standing=121, time in bed= 440); Lions were more active at work, sedentary at leisure and spent more time in bed; Ants had more physical activity at work and similar physical activity and time in bed at leisure; Koalas were more sedentary at work and leisure and spent more time in bed. Compared to Chimpanzees, Koalas had lower aerobic capacity (mlO2/kg/min): -3.7 (95%CI -6.0,-1.5), followed by Lions -3.6 (-5.5,-1.7) and Ants -1.8 (-3.7,- 0.1). Conclusions Physical-behavior profiles based on 24-h time-use composition are associated with aerobic capacity. Obtaining a balance between physical behaviors at work and leisure may be a promising approach for improving aerobic capacity.

Place, publisher, year, edition, pages
Maastricht: ICAMPAM, 2019
National Category
Occupational Health and Environmental Health
Research subject
Health-Promoting Work
Identifiers
urn:nbn:se:hig:diva-30411 (URN)
Conference
ICAMPAM, June 26-28, Maastricht, The Netherlands
Available from: 2019-07-05 Created: 2019-07-05 Last updated: 2021-04-01Bibliographically approved
Hallman, D., Holtermann, A., Björklund, M., Gupta, N. & Nørregaard Rasmussen, C. D. (2019). Sick leave due to musculoskeletal pain : determinants of distinct trajectories over 1 year. International Archives of Occupational and Environmental Health, 92(8), 1099-1108
Open this publication in new window or tab >>Sick leave due to musculoskeletal pain : determinants of distinct trajectories over 1 year
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2019 (English)In: International Archives of Occupational and Environmental Health, ISSN 0340-0131, E-ISSN 1432-1246, Vol. 92, no 8, p. 1099-1108Article in journal (Refereed) Published
Abstract [en]

Purpose

This study aimed to identify sub-groups of workers with different trajectories of sick leave due to musculoskeletalpain over 1 year, and to investigate the extent to which the identified trajectories are associated with personal, occupational,lifestyle, and pain-related factors at baseline.

Methods

Data on 981 blue- and white-collar workers were analyzed in the DPHACTO cohort (2012–2014). The numberof days on sick leave due to pain was reported using text messages at 4-week intervals across 1 year. Latent class growthanalysis was used to distinguish sub-groups with different trajectories of sick leave. A web-based questionnaire at baselinewas used to assess personal, occupational (physical and psychosocial), lifestyle, and pain-related factors. Multinomial regressionmodels were constructed to determine associations between baseline factors and trajectories of sick leave (referencingno sick leave), with adjustment for potential confounders.

Results

Four distinct sub-groups were identified, with trajectories of sick leave due to pain ranging from no sick leave(prevalence 76%; average 0.5 days/year) to some days and increasing sick leave due to pain over 1 year (2%; 89 days/year).The increasing trajectory of sick leave was associated with higher perceived physical exertion, more time in manual work,less social community and influence at work, less leisure-time physical activity, smoking, and more severe symptoms (e.g.,multisite pain, low back pain intensity, and pain interference).

Conclusions

We identified four distinct trajectories of sick leave due to musculoskeletal pain. The sub-group with increasingsick leave due to pain was associated with several modifiable physical and psychosocial factors at work and outside work,which may have implications for prevention.

Keywords
Longitudinal, Risk factors, Sickness absence, Workers
National Category
Occupational Health and Environmental Health
Research subject
Health-Promoting Work
Identifiers
urn:nbn:se:hig:diva-29674 (URN)10.1007/s00420-019-01447-y (DOI)000492593000003 ()31165308 (PubMedID)2-s2.0-85067077539 (Scopus ID)
Funder
Forte, Swedish Research Council for Health, Working Life and Welfare, 2009-01761
Note

Danish Working Environment Research Fund Grant no. 01-2015-09

Available from: 2019-06-05 Created: 2019-06-05 Last updated: 2021-04-01Bibliographically approved
Gupta, N., Mathiassen, S. E., Mateu-Figueras, G., Heiden, M., Hallman, D., Birk Jørgensen, M. & Holtermann, A. (2018). A comparison of standard and compositional data analysis in studies addressing group differences in sedentary behavior and physical activity. International Journal of Behavioral Nutrition and Physical Activity, 15(1), Article ID 53.
Open this publication in new window or tab >>A comparison of standard and compositional data analysis in studies addressing group differences in sedentary behavior and physical activity
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2018 (English)In: International Journal of Behavioral Nutrition and Physical Activity, E-ISSN 1479-5868, Vol. 15, no 1, article id 53Article in journal (Refereed) Published
Abstract [en]

Background. Data on time spent in physical activity, sedentary behavior and sleep during a day is compositional in nature, i.e. they add up to a constant value, typically 100% time. Compositional data have fundamentally different properties from unconstrained data in real space, and require other processing and analysis procedures, referred to as compositional data analysis (CoDA). Most physical activity and sedentary behavior studies, however, still apply analytical procedures adapted to data in real space, which can lead to misleading results. The present study describes a comparison of time spent sedentary and in physical activity between age groups and sexes, and investigates the extent to which results obtained by CoDA differ from those obtained using standard analytical procedures.

Methods. Time spent sedentary, standing, and in physical activity (walking/running/stair climbing/cycling) during work and leisure was determined for 1-4 days among 677 blue-collar workers using accelerometry. Differences between sexes and age groups were tested using MANOVA, using both a standard approach and a CoDA approach based on isometric log-ratio transformed data.  

Results. When determining differences between sexes in time used for different activities at work, the effect size using standard analysis (η2=0.045, p<0.001) was 15% smaller than that obtained with CoDA (η2=0.052, p<0.001), although both approaches suggested a statistically significant difference. When determining corresponding differences between age groups, CoDA resulted in a 60% larger, and significant, effect size (η2=0.012, p=0.02) than that obtained with the standard approach (η2=0.008, p=0.07). During leisure, results with standard (age; η2=0.007, p=0.09; sex; η2=0.052, p<0.001) and CoDA (age; η2=0.007, p=0.09; sex; η2=0.051, p<0.001) analyses were similar.

Conclusion. Results and, hence, inferences concerning differences by age and sex in time spent sedentary and in physical activity at work differed between CoDA and standard analysis. We encourage researchers to use CoDA in similar studies, in order to adequately account for the compositional nature of data on physical activity and sedentary behavior

Keywords
CoDA, accelerometry, MANOVA, isometric log-ratio, gender, age groups
National Category
Occupational Health and Environmental Health
Research subject
Health-Promoting Work
Identifiers
urn:nbn:se:hig:diva-25483 (URN)10.1186/s12966-018-0685-1 (DOI)000435403500001 ()29903009 (PubMedID)2-s2.0-85048626702 (Scopus ID)
Funder
Forte, Swedish Research Council for Health, Working Life and Welfare, 2009-1761
Note

Funding agencies:

- Danish government

- Danish Work Environment Research Fund grant no: 20150017496/4

Available from: 2017-11-02 Created: 2017-11-02 Last updated: 2024-02-12Bibliographically approved
Hulsegge, G., Gupta, N., Proper, K., von Lobenstein, N., IJzelenberg, W., Hallman, D., . . . van der Beek, A. (2018). Shift work is associated with reduced heart rate variability among men but not women. International Journal of Cardiology, 258, 109-114
Open this publication in new window or tab >>Shift work is associated with reduced heart rate variability among men but not women
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2018 (English)In: International Journal of Cardiology, ISSN 0167-5273, E-ISSN 1874-1754, Vol. 258, p. 109-114Article in journal (Refereed) Published
Abstract [en]

Background

Imbalance in the autonomic nervous system due to a disrupted circadian rhythm may be a cause of shift work-related cardiovascular diseases.

Objective

We aimed to determine the association between shift work and cardiac autonomic activity in blue-collar workers.

Methods

The study included 665 blue-collar workers aged 18–68 years in different occupations from two Danish cohort studies. Time and frequency domain parameters of heart rate variability (HRV) were measured during sleep using the Actiheart monitor, and used as markers of cardiac autonomic function. Multiple linear regression analyses were used to investigate differences in HRV between day and shift workers.

Results

Shift workers had no significantly different HRV parameters than day workers, except for a lower VLF (B: 0.21; 95% CI: −0.36–0.05). The lower VLF was only present among non-night shift workers (p < 0.05) and not among night shift workers (p > 0.05). Results differed significantly by gender (p for interaction < 0.10): among men, shift work was negatively associated with RMSSD (B: −7.83; 95% CI: −14.28–1.38), SDNN (B: −7.0; 95% CI: −12.27–1.78), VLF (B: −0.27; 95% CI: −0.46–0.09) and Total Power (B: −0.61; 95% CI: −1.20–0.03), while among women, shift work was only associated with the LF/HF ratio (B: −0.29; 95% CI: −0.54–0.03).

Conclusion

Shift work was particularly associated with lower HRV during sleep among men. This indicates that shift work causes imbalance in the autonomic nervous system among men, which might increase their risk of cardiovascular diseases.

Keywords
Shift work, Night shift, Heart rate variability, Cardiovascular diseases, Autonomic nervous system
National Category
Occupational Health and Environmental Health
Research subject
Health-Promoting Work
Identifiers
urn:nbn:se:hig:diva-26050 (URN)10.1016/j.ijcard.2018.01.089 (DOI)000427605700023 ()29433969 (PubMedID)2-s2.0-85041530029 (Scopus ID)
Available from: 2018-01-23 Created: 2018-01-23 Last updated: 2020-11-23Bibliographically approved
Straker, L., Hallman, D., Gupta, N., Mathiassen, S. E. & Holtermann, A. (2018). The Goldilocks Principle: Innovative work design for improved health. In: : . Paper presented at 20th Congress International Ergonomics Association, 26-30 augusti, 2018, Florens, Italy.
Open this publication in new window or tab >>The Goldilocks Principle: Innovative work design for improved health
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2018 (English)Conference paper, Oral presentation with published abstract (Refereed)
National Category
Occupational Health and Environmental Health
Research subject
Health-Promoting Work
Identifiers
urn:nbn:se:hig:diva-27832 (URN)
Conference
20th Congress International Ergonomics Association, 26-30 augusti, 2018, Florens, Italy
Available from: 2018-09-04 Created: 2018-09-04 Last updated: 2020-11-23Bibliographically approved
Palm, P., Forsman, M., Mathiassen, S. E., Gupta, N. & Holtermann, A. (2018). Upper arm elevation in blue‐collar work with and without exclusion of arm elevation during sitting. In: : . Paper presented at 20th Congress International Ergonomics Association, 26-30 augusti, 2018, Florens, Italy.
Open this publication in new window or tab >>Upper arm elevation in blue‐collar work with and without exclusion of arm elevation during sitting
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2018 (English)Conference paper, Oral presentation with published abstract (Refereed)
National Category
Occupational Health and Environmental Health
Research subject
Health-Promoting Work
Identifiers
urn:nbn:se:hig:diva-27830 (URN)
Conference
20th Congress International Ergonomics Association, 26-30 augusti, 2018, Florens, Italy
Available from: 2018-09-04 Created: 2018-09-04 Last updated: 2020-11-23Bibliographically approved
Gupta, N., Heiden, M., Mathiassen, S. E. & Holtermann, A. (2016). Improving questionnaire-based estimates of occupational physical activity of blue-collar workers by individual and work related information. In: : . Paper presented at Ninth International Conference on the Prevention of Work-Related Musculoskeletal Disorders (PREMUS), June 20-23, 2016, Toronto, Canada.
Open this publication in new window or tab >>Improving questionnaire-based estimates of occupational physical activity of blue-collar workers by individual and work related information
2016 (English)Conference paper, Published paper (Refereed)
Abstract [en]

Background. Questionnaire-based information of occupational physical activities is extensively used, but susceptible to systematic errors. Calibration modeling may reduce errors and improve precision of questionnaire-based information by transforming the selfreported data into more correct estimates of “true” exposure. We aimed (1) to determine the ability of unadjusted ratings of Saltin and Grimby’s Occupational Physical Activity (SGOPA) question to estimate objectively measured sedentary behaviour, physical activity and cardiovascular load, and (2) to develop and evaluate statistical models calibrating SGOPA ratings into expected values of objectively measured exposures.

Methods. 214 blue-collar workers responded to a questionnaire comprising the SGOPA question and questions on several individual and work-related factors. They wore two accelerometers measuring time spent in sedentary and in physical activities, and one Actiheart monitoring cardiovascular load (eventually expressed as %Heart Rate Reserve) for one to four days. Least-squares linear regression models were developed to predict each objectively measured exposure from SGOPA and additional self-reported individual and work-related predictors.

Results. SGOPA alone explained 22% (R2 adjusted=21%) of the variance between individuals in sedentary behaviour and physical activities, and 8% (R2 adjusted =7%) of the variance in high cardiorespiratory load. When adding predictors related to individual and work to the regression model, explained variance increased to 51% (R2 adjusted=46%) for both sedentary behaviour and physical activities, and to 27% (R2 adjusted=19%) for high cardiorespiratory load. Bootstrap validation suggested that explained variance would be reduced by 9-15% for the three exposures when using the model on other data sets.

Discussion. SGOPA itself shows only limited ability to predict objectively measured sedentary behaviour, physical activities and cardiovascular load at work, but the performance of a calibration model can be considerably improved by adding further self-reported predictors.

National Category
Occupational Health and Environmental Health
Identifiers
urn:nbn:se:hig:diva-21911 (URN)
Conference
Ninth International Conference on the Prevention of Work-Related Musculoskeletal Disorders (PREMUS), June 20-23, 2016, Toronto, Canada
Available from: 2016-06-23 Created: 2016-06-23 Last updated: 2018-12-03Bibliographically approved
Hallman, D. M., Mathiassen, S. E., Heiden, M., Gupta, N., Birk Jørgensen, M. & Holtermann, A. (2016). Temporal patterns of sitting at work are associated with neck-shoulder pain in blue-collar workers: a cross-sectional analysis of accelerometer data in the DPHACTO study. International Archives of Occupational and Environmental Health, 89(5), 823-833
Open this publication in new window or tab >>Temporal patterns of sitting at work are associated with neck-shoulder pain in blue-collar workers: a cross-sectional analysis of accelerometer data in the DPHACTO study
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2016 (English)In: International Archives of Occupational and Environmental Health, ISSN 0340-0131, E-ISSN 1432-1246, Vol. 89, no 5, p. 823-833Article in journal (Refereed) Published
Abstract [en]

Background

Our aim was to examine the extent to which temporal patterns of sitting during occupational work and during leisure-time, assessed using accelerometry, are associated with intense neck–shoulder pain (NSP) in blue-collar workers.

Methods

The population consisted of 659 Danish blue-collar workers. Accelerometers were attached to the thigh, hip, trunk and upper dominant arm to measure sitting time and physical activity across four consecutive days. Temporal sitting patterns were expressed separately for work and leisure by the proportion of total time spent sitting in brief bursts (0–5 min), moderate (>5–20 min) and prolonged (>20 min) periods. The peak NSP intensity during the previous 3 months was assessed using a numerical rating scale (range 0–10) and dichotomized into a lower (≤4) and higher (>4) NSP score. Logistic regression analyses with multiple adjustments for individual and occupational factors were performed to determine the association between brief, moderate and prolonged sitting periods, and NSP intensity.

Results

Time in brief bursts of occupational sitting was negatively associated with NSP intensity (adjusted OR 0.68, 95 % CI 0.48–0.98), while time in moderate periods of occupational sitting showed a positive association with NSP (adjusted OR 1.32, 95 % CI 1.04–1.69). Time in prolonged periods of occupational sitting was not associated with NSP (adjusted OR 0.78, 95 % CI 0.78–1.09). We found no significant association between brief, moderate or prolonged sitting periods during leisure, and NSP.

Conclusion

Our findings indicate that the association between occupational sitting time and intense NSP among blue-collar workers is sensitive to the temporal pattern of sitting.

Keywords
neck pain, sedentary, time-pattern, physical activity, occupational health
National Category
Occupational Health and Environmental Health
Identifiers
urn:nbn:se:hig:diva-20204 (URN)10.1007/s00420-016-1123-9 (DOI)000376408900011 ()26935311 (PubMedID)2-s2.0-84959513588 (Scopus ID)
Projects
SitNeck
Note

Erratum to: Temporal patterns of sitting at work are associated with neck–shoulder pain in blue-collar workers: a cross-sectional analysis of accelerometer data in the DPHACTO study (International Archives of Occupational and Environmental Health, (2016),  http://dx.doi.org/10.1007/s00420-017-1208-0

ScopusId: 2-s2.0-85013041600 ISI:00403772400007 

ISI-id: 000403772400007

Available from: 2015-09-04 Created: 2015-09-04 Last updated: 2020-11-04Bibliographically approved

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