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Relation between Active Transportation, Screen Time and Sleep Quality among Metabolically Healthy versus Unhealthy Congolese Obese

DOI: 10.4236/ojemd.2024.1412021, PP. 199-212

Keywords: Screen time, Sleep, Congolese Adolescents, Unhealthy Obese, At-Risk Subject

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Abstract:

Objective: This study aims to analyze the relationship between active transportation, screen time and sleep quality among metabolically health versus unhealthy Congolese schoolboys and girls obese. Method: A cross-sectional study was conducted among 58 obese aged 15.36 ± 1.22 years in Brazzaville (Republic of Congo). They were divided into metabolically healthy obese (MHO, n = 29) and metabolically unhealthy obese (MUHO, n = 29). Data collection consisted of anthropometric measurements, lipids profile parameters, Pittsburgh Sleep Quality Index and the screen time measurements. The relationship was analyzed by using the logistic regression for healthy and unhealthy schoolboys and obese girls. Results: Compared to MUH obese subjects, MUHO obese subjects were significantly less engaged in active transportation (p = 0.03), TV and smartphone times significantly increased (p = 0.000 and p = 0.003), sleep quality significantly poor (p = 0.001). They were 1.85 (95% CI: 0.85 - 3.88) lower odds to engage in active transportation, had 1.82 (95% CI: 1.11 - 3.10) and 2.04 (95% CI: 1.11 - 3.10) higher odds of TV time respectively, had 1.87 (95% CI: 1.24 - 2.84) and 2.04 (95% CI: 1.47 - 2.85) higher odds of smartphone time respectively and have 2.35 (95% CI: 1.62 - 3.41) higher odds of poor sleep. Conclusion: MUHO subjects underwent high screen time and poor sleep quality. Higher TV-viewing/smartphone time and poorer sleeping quality were found to be associated with less time spent in active transportation. This bad habit on screen and sleep negatively affects the cardiometabolic parameters.

References

[1]  World Obesity Atlas Report (20240 Plus de la moitié des humains pourraient être en surpoids ou obèses d’ici 2035.
https://www.theguardian.com/society/2023/mar/02/more-than-half-of-humans-on-track-to-be-overweight-or-obese-by-2035-report

[2]  Brandão, I., Martins, M.J. and Monteiro, R. (2020) Metabolically Healthy Obesity—Heterogeneity in Definitions and Unconventional Factors. Metabolites, 10, Article 48.
https://doi.org/10.3390/metabo10020048

[3]  Sun, M., Fritz, J., Häggström, C., Bjørge, T., Nagel, G., Manjer, J., et al. (2023) Metabolically (un)healthy Obesity and Risk of Obesity-Related Cancers: A Pooled Study. Journal of the National Cancer Institute, 115, 456-467.
https://doi.org/10.1093/jnci/djad008

[4]  Alberti, K.G.M.M., Eckel, R.H., Grundy, S.M., Zimmet, P.Z., Cleeman, J.I., Donato, K.A., et al. (2009) Harmonizing the Metabolic Syndrome. Circulation, 120, 1640-1645.
https://doi.org/10.1161/circulationaha.109.192644

[5]  Phillips, C.M. (2013) Metabolically Healthy Obesity: Definitions, Determinants and Clinical Implications. Reviews in Endocrine and Metabolic Disorders, 14, 219-227.
https://doi.org/10.1007/s11154-013-9252-x

[6]  Stefan, N. (2008) Identification and Characterization of Metabolically Benign Obesity in Humans. Archives of Internal Medicine, 168, 1609-1616.
https://doi.org/10.1001/archinte.168.15.1609

[7]  Brant, L.C.C., Wang, N., Ojeda, F.M., LaValley, M., Barreto, S.M., Benjamin, E.J., et al. (2017) Relations of Metabolically Healthy and Unhealthy Obesity to Digital Vascular Function in Three Community-Based Cohorts: A Meta-Analysis. Journal of the American Heart Association, 6, e004199.
https://doi.org/10.1161/jaha.116.004199
[8]  Beck, E., Paquot, N. and Scheen, A.J. (2008) Sujets «métaboliquement obèses» de poids normal. Première partie: Diagnostic, physiopathologie et prévalence. Obésité, 3, 184-193.
https://doi.org/10.1007/s11690-008-0137-1

[9]  Beck, N. and Scheen, A. (2009) Sujets «métaboliquement obèses» sans excès de poids: Un phénotype interpellant. Revue Médicale de Liège, 64, 1422.
[10]  Fang, K., Mu, M., Liu, K. and He, Y. (2019) Screen Time and Childhood Overweight/Obesity: A Systematic Review and Meta-Analysis. Child: Care, Health and Development, 45, 744-753.
https://doi.org/10.1111/cch.12701

[11]  Bakour, C., Mansuri, F., Johns-Rejano, C., Crozier, M., Wilson, R. and Sappenfield, W. (2022) Association between Screen Time and Obesity in US Adolescents: A Cross-Sectional Analysis Using National Survey of Children’s Health 2016-2017. PLOS ONE, 17, e0278490.
https://doi.org/10.1371/journal.pone.0278490

[12]  Kaul, A., Bansal, N., Sharma, P., Aneja, S. and Mahato, M. (2023) Association of Screen Time Usage and Physical Activity with Overweight and Obesity among School-Going Children in Uttar Pradesh. Cureus, 15, e47690.
[13]  Diakiese, B.M., Zayoud, A., Gremy, I., Artely, S. and Parola, S.R. (2021) Association entre l’usage des écrans et les troubles de sommeil chez les collégiens et lycéens en Île-de-France. Médecine du Sommeil, 18, Article No. 25.
https://doi.org/10.1016/j.msom.2020.11.022

[14]  Robinson, T.N., Banda, J.A., Hale, L., Lu, A.S., Fleming-Milici, F., Calvert, S.L., et al. (2017) Screen Media Exposure and Obesity in Children and Adolescents. Pediatrics, 140, S97-S101.
https://doi.org/10.1542/peds.2016-1758k

[15]  Sahın, S., Ozdemir, K., Unsal, A. and Temiz, N. (2013) Evaluation of Mobile Phone Addiction Level and Sleep Quality in University Students. Pakistan Journal of Medical Sciences, 29, 913-918.
https://doi.org/10.12669/pjms.294.3686

[16]  Hale, L. and Guan, S. (2015) Screen Time and Sleep among School-Aged Children and Adolescents: A Systematic Literature Review. Sleep Medicine Reviews, 21, 50-58.
https://doi.org/10.1016/j.smrv.2014.07.007

[17]  Hysing, M., Harvey, A.G., Linton, S.J., Askeland, K.G. and Sivertsen, B. (2016) Sleep and Academic Performance in Later Adolescence: Results from a Large Population-Based Study. Journal of Sleep Research, 25, 318-324.
https://doi.org/10.1111/jsr.12373

[18]  Qanash, S., Al-Husayni, F., Falata, H., Halawani, O., Jahra, E., Murshed, B., et al. (2021) Effect of Electronic Device Addiction on Sleep Quality and Academic Performance among Health Care Students: Cross-Sectional Study. JMIR Medical Education, 7, e25662.
https://doi.org/10.2196/25662

[19]  Pivonello, C., Negri, M., Patalano, R., Amatrudo, F., Montò, T., Liccardi, A., et al. (2021) The Role of Melatonin in the Molecular Mechanisms Underlying Meta-Flammation and Infections in Obesity: A Narrative Review. Obesity Reviews, 23, e13390.
https://doi.org/10.1111/obr.13390

[20]  Edwardson, C.L., Gorely, T., Davies, M.J., Gray, L.J., Khunti, K., Wilmot, E.G., et al. (2012) Association of Sedentary Behaviour with Metabolic Syndrome: A Meta-Analysis. PLOS ONE, 7, e34916.
https://doi.org/10.1371/journal.pone.0034916

[21]  Haghjoo, P., Siri, G., Soleimani, E., Farhangi, M.A. and Alesaeidi, S. (2022) Screen Time Increases Overweight and Obesity Risk among Adolescents: A Systematic Review and Dose-Response Meta-Analysis. BMC Primary Care, 23, Article No. 161.
https://doi.org/10.1186/s12875-022-01761-4

[22]  Lorenzo, E., Szeszulski, J., Shin, C., Todd, M. and Lee, R.E. (2020) Relationship between Walking for Active Transportation and Cardiometabolic Health among Adults: A Systematic Review. Journal of Transport & Health, 19, Article 100927.
https://doi.org/10.1016/j.jth.2020.100927

[23]  Sadarangani, K.P., Von Oetinger, A., Cristi-Montero, C., Cortínez-O’Ryan, A., Aguilar-Farías, N. and Martínez-Gómez, D. (2018) Beneficial Association between Active Travel and Metabolic Syndrome in Latin-America: A Cross-Sectional Analysis from the Chilean National Health Survey 2009-2010. Preventive Medicine, 107, 8-13.
https://doi.org/10.1016/j.ypmed.2017.12.005

[24]  Xu, F., Jin, L., Qin, Z., Chen, X., Xu, Z., He, J., et al. (2020) Access to Public Transport and Childhood Obesity: A Systematic Review. Obesity Reviews, 22, e12987.
https://doi.org/10.1111/obr.12987

[25]  Millett, C., Agrawal, S., Sullivan, R., Vaz, M., Kurpad, A., Bharathi, A.V., et al. (2013) Associations between Active Travel to Work and Overweight, Hypertension, and Diabetes in India: A Cross-Sectional Study. PLOS Medicine, 10, e1001459.
https://doi.org/10.1371/journal.pmed.1001459

[26]  Börnhorst, C., Russo, P., Veidebaum, T., Tornaritis, M., Molnár, D., Lissner, L., et al. (2020) The Role of Lifestyle and Non-Modifiable Risk Factors in the Development of Metabolic Disturbances from Childhood to Adolescence. International Journal of Obesity, 44, 2236-2245.
https://doi.org/10.1038/s41366-020-00671-8

[27]  Barstad, L.H., Júlíusson, P.B., Johnson, L.K., Hertel, J.K., Lekhal, S. and Hjelmesæth, J. (2018) Gender-Related Differences in Cardiometabolic Risk Factors and Lifestyle Behaviors in Treatment-Seeking Adolescents with Severe Obesity. BMC Pediatrics, 18, Article No. 61.
https://doi.org/10.1186/s12887-018-1057-3

[28]  Okubo, N., Matsuzaka, M., Takahashi, I., Sawada, K., Sato, S., Akimoto, N., et al. (2014) Relationship between Self-Reported Sleep Quality and Metabolic Syndrome in General Population. BMC Public Health, 14, Article No. 562.
https://doi.org/10.1186/1471-2458-14-562

[29]  Guzmán, V., Lissner, L., Arvidsson, L., Hebestreit, A., Solea, A., Lauria, F., et al. (2021) Associations of Sleep Duration and Screen Time with Incidence of Overweight in European Children: The IDEFICS/I. Family Cohort. Obesity Facts, 15, 55-61.
https://doi.org/10.1159/000519418

[30]  Sehn, A.P., Silveira, J.F.d.C., Brand, C., Lemes, V.B., Borfe, L., Tornquist, L., et al. (2024) Screen Time, Sleep Duration, Leisure Physical Activity, Obesity, and Cardiometabolic Risk in Children and Adolescents: A Cross-Lagged 2-Year Study. BMC Cardiovascular Disorders, 24, Article No. 525.
https://doi.org/10.1186/s12872-024-04089-2

[31]  Li, L., Zhang, S., Huang, Y. and Chen, K. (2017) Sleep Duration and Obesity in Children: A Systematic Review and Meta-Analysis of Prospective Cohort Studies. Journal of Paediatrics and Child Health, 53, 378-385.
https://doi.org/10.1111/jpc.13434
[32]  Prasomsri, J., Thueman, B., Yuenyong, P., Thongnoon, C., Khophongphaibun, N. and Ariyawatcharin, S. (2023) Effectiveness of Motor Imagery on Sports Performance in Football Players: A Randomized Control Trial. Hong Kong Physiotherapy Journal, 44, 29-37.
https://doi.org/10.1142/s1013702524500021

[33]  Swainson, M.G., Batterham, A.M., Tsakirides, C., Rutherford, Z.H. and Hind, K. (2017) Prediction of Whole-Body Fat Percentage and Visceral Adipose Tissue Mass from Five Anthropometric Variables. PLOS ONE, 12, e0177175.
https://doi.org/10.1371/journal.pone.0177175

[34]  Dietz, W.H. and Robinson, T.N. (1998) Use of the Body Mass Index (BMI) as a Measure of Overweight in Children and Adolescents. The Journal of Pediatrics, 132, 191-193.
[35]  Nevill, A.M., Duncan, M.J., Lahart, I.M. and Sandercock, G.R. (2016) Scaling Waist Girth for Differences in Body Size Reveals a New Improved Index Associated with Cardiometabolic Risk. Scandinavian Journal of Medicine & Science in Sports, 27, 1470-1476.
https://doi.org/10.1111/sms.12780

[36]  Wang, L., Yan, N., Zhang, M., Pan, R., Dang, Y. and Niu, Y. (2022) The Association between Blood Glucose Levels and Lipids or Lipid Ratios in Type 2 Diabetes Patients: A Cross-Sectional Study. Frontiers in Endocrinology, 13, Article 969080.
https://doi.org/10.3389/fendo.2022.969080

[37]  Nomikos, T., Panagiotakos, D., Georgousopoulou, E., Metaxa, V., Chrysohoou, C., Skoumas, I., et al. (2015) Hierarchical Modelling of Blood Lipids’ Profile and 10-Year (2002-2012) All Cause Mortality and Incidence of Cardiovascular Disease: The ATTICA Study. Lipids in Health and Disease, 14, Article No. 108.
https://doi.org/10.1186/s12944-015-0101-7

[38]  Georgoulis, M., Chrysohoou, C., Georgousopoulou, E., Damigou, E., Skoumas, I., Pitsavos, C., et al. (2022) Long-Term Prognostic Value of LDL-C, HDL-C, LP(a) and TG Levels on Cardiovascular Disease Incidence, by Body Weight Status, Dietary Habits and Lipid-Lowering Treatment: The ATTICA Epidemiological Cohort Study (2002-2012). Lipids in Health and Disease, 21, Article No. 141.
https://doi.org/10.1186/s12944-022-01747-2

[39]  Laverty, A.A., Hone, T., Goodman, A., Kelly, Y. and Millett, C. (2021) Associations of Active Travel with Adiposity among Children and Socioeconomic Differentials: A Longitudinal Study. BMJ Open, 11, e036041.
https://doi.org/10.1136/bmjopen-2019-036041

[40]  Nagata, J.M., Weinstein, S., Alsamman, S., Lee, C.M., Dooley, E.E., Ganson, K.T., et al. (2024) Association of Physical Activity and Screen Time with Cardiovascular Disease Risk in the Adolescent Brain Cognitive Development Study. BMC Public Health, 24, Article No. 1346.
https://doi.org/10.1186/s12889-024-18790-6

[41]  Jain, S., Shrivastava, S., Mathur, A., Pathak, D. and Pathak, A. (2023) Prevalence and Determinants of Excessive Screen Viewing Time in Children Aged 3-15 Years and Its Effects on Physical Activity, Sleep, Eye Symptoms and Headache. International Journal of Environmental Research and Public Health, 20, Article 3449.
https://doi.org/10.3390/ijerph20043449

[42]  Shadzi, M.R., Rahmanian, M., Heydari, A. and Salehi, A. (2024) Structural Validity of the Pittsburgh Sleep Quality Index among Medical Students in Iran. Scientific Reports, 14, Article No. 1538.
https://doi.org/10.1038/s41598-024-51379-y

[43]  Farrahi Moghaddam, J., Nakhaee, N., Sheibani, V., Garrusi, B. and Amirkafi, A. (2011) Reliability and Validity of the Persian Version of the Pittsburgh Sleep Quality Index (PSQI-P). Sleep and Breathing, 16, 79-82.
https://doi.org/10.1007/s11325-010-0478-5

[44]  Sénéchal, M., Wicklow, B., Wittmeier, K., Hay, J., MacIntosh, A.C., Eskicioglu, P., et al. (2013) Cardiorespiratory Fitness and Adiposity in Metabolically Healthy Overweight and Obese Youth. Pediatrics, 132, e85-e92.
https://doi.org/10.1542/peds.2013-0296

[45]  Lassale, C., Tzoulaki, I., Moons, K.G.M., Sweeting, M., Boer, J., Johnson, L., et al. (2017) Separate and Combined Associations of Obesity and Metabolic Health with Coronary Heart Disease: A Pan-European Case-Cohort Analysis. European Heart Journal, 39, 397-406.
https://doi.org/10.1093/eurheartj/ehx448

[46]  Bora, K., Pathak, M.S., Borah, P. and Das, D. (2016) Association of Decreased High-Density Lipoprotein Cholesterol (HDL-C) with Obesity and Risk Estimates for Decreased HDL-C Attributable to Obesity. Journal of Primary Care & Community Health, 8, 26-30.
https://doi.org/10.1177/2150131916664706

[47]  Pedersen, B.K. and Saltin, B. (2015) Exercise as Medicine—Evidence for Prescribing Exercise as Therapy in 26 Different Chronic Diseases. Scandinavian Journal of Medicine & Science in Sports, 25, 1-72.
https://doi.org/10.1111/sms.12581

[48]  Camhi, S.M., Crouter, S.E., Hayman, L.L., Must, A. and Lichtenstein, A.H. (2015) Lifestyle Behaviors in Metabolically Healthy and Unhealthy Overweight and Obese Women: A Preliminary Study. PLOS ONE, 10, e0138548.
https://doi.org/10.1371/journal.pone.0138548

[49]  Murtagh, E.M., Nichols, L., Mohammed, M.A., Holder, R., Nevill, A.M. and Murphy, M.H. (2015) The Effect of Walking on Risk Factors for Cardiovascular Disease: An Updated Systematic Review and Meta-Analysis of Randomized Control Trials. Preventive Medicine, 72, 34-43.
https://doi.org/10.1016/j.ypmed.2014.12.041

[50]  Kanagasabai, T., Dhanoa, R., Kuk, J.L. and Ardern, C.I. (2017) Association between Sleep Habits and Metabolically Healthy Obesity in Adults: A Cross-Sectional Study. Journal of Obesity, 2017, 1-7.
https://doi.org/10.1155/2017/5272984

[51]  Sina, E., Buck, C., Veidebaum, T., Siani, A., Reisch, L., Pohlabeln, H., et al. (2021) Media Use Trajectories and Risk of Metabolic Syndrome in European Children and Adolescents: The IDEFICS/I. Family Cohort. International Journal of Behavioral Nutrition and Physical Activity, 18, Article No. 134.
https://doi.org/10.1186/s12966-021-01186-9

[52]  Chen, Z., Chi, G., Wang, L., Chen, S., Yan, J. and Li, S. (2022) The Combinations of Physical Activity, Screen Time, and Sleep, and Their Associations with Self-Reported Physical Fitness in Children and Adolescents. International Journal of Environmental Research and Public Health, 19, Article 5783.
https://doi.org/10.3390/ijerph19105783

[53]  Cassidy, S., Chau, J.Y., Catt, M., Bauman, A. and Trenell, M.I. (2016) Cross-Sectional Study of Diet, Physical Activity, Television Viewing and Sleep Duration in 233 110 Adults from the UK Biobank; the Behavioural Phenotype of Cardiovascular Disease and Type 2 Diabetes. BMJ Open, 6, e010038.
https://doi.org/10.1136/bmjopen-2015-010038

[54]  Kolovos, S., Jimenez-Moreno, A.C., Pinedo-Villanueva, R., Cassidy, S. and Zavala, G.A. (2019) Association of Sleep, Screen Time and Physical Activity with Overweight and Obesity in Mexico. Eating and Weight DisordersStudies on Anorexia, Bulimia and Obesity, 26, 169-179.
https://doi.org/10.1007/s40519-019-00841-2

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