Skip to main content
Key Specialties
Cardiology Diabetology Endocrinology Gastroenterology Geriatrics and Gerontology Gynecology and Obstetrics Hematology Infectious Disease Internal Medicine Nephrology Neurology Oncology Pediatrics Respiratory Medicine Rheumatology Surgery
Congress Coverage
2024 ACC Congress 2023 ESMO Congress 2023 EASD Congress 2023 ERS Congress 2023 ESC Congress 2023 EHA Congress 2023 ASCO Annual Meeting
Clinical Collections
Advances in Alzheimer’s

Keynote webinar | Spotlight on sleep in brain health

LIVE: Thursday 2nd May 2024, 18:00-19:30 (CEST)

Quality sleep is essential for health. But what happens to our brains when sleep patterns are disturbed? Join our experts to explore the interplay between sleep disruption and neurological diseases, and the questions that you need to be asking your patients to help you prevent the harmful effects of sleep deprivation.
ADVANCED SEARCH
Log in
Top
BMC Public Health
Published in: BMC Public Health 1/2015

Open Access 01-12-2015 | Research article

Association between sedentary and physical activity patterns and risk factors of metabolic syndrome in Saudi men: A cross-sectional study

Authors: Shaea Alkahtani, Ahmed Elkilany, Mohammed Alhariri

Published in: BMC Public Health | Issue 1/2015

Login to get access

Abstract

Background

This study examined the association between objectively measured physical activity patterns and risk factors of metabolic syndrome (MetS) in Saudi men.

Methods

The study was cross-sectional, and 84 healthy men from the Saudi population (age 37.6 ± 8.8 years, body mass index [BMI] 28.4 ± 5.4 kg/m2) were recruited. Measurements of physical activity were made using triaxial accelerometers over 7 consecutive days of leisure time physical activity. Waist circumference and blood pressure were measured, and fasting blood samples taken to measure glucose, high density lipoprotein cholesterol (HDL), and triglycerides (TG).

Results

A total 21.4 % of participants had three or more risk factors for MetS, with low HDL levels the most frequent factor. Light physical activity (LPA) and BMI explained 13 % of the variation in TG. Moderate to vigorous physical activity (MVPA) with a minimum 10-min per session (10-min MVPA), LPA, and BMI explained 16 % of the variation in HDL. Sedentary behavior was not significantly associated with risk factors of MetS, although odds ratios indicated that decreased sedentarism does have a protective effect against MetS.

Conclusions

LPA and 10-min MVPA were associated with elevated HDL levels among Saudi men. Future studies should confirm whether time spent physically active independent of intensity is an important factor in improving HDL levels.
Literature
1.
2.
Henson J, Yates T, Biddle SJ, Edwardson CL, Khunti K, Wilmot EG, et al. Associations of objectively measured sedentary behaviour and physical activity with markers of cardiometabolic health. Diabetologia. 2013;56(5):1012–20.CrossRefPubMed
3.
Chase JM, Lockhart CK, Ashe MC, Madden KM. Accelerometer-based measures of sedentary behavior and cardio-metabolic risk in active older adults. Clin Investig Med Medecine Clin Et Exp. 2014;37(2):E108–16.
4.
George ES, Rosenkranz RR, Kolt GS. Chronic disease and sitting time in middle-aged Australian males: findings from the 45 and Up Study. The international journal of behavioral nutrition and physical activity. 2013;10:20-. doi:10.​1186/​1479-5868-10-20.
5.
6.
Colley RC, Garriguet D, Janssen I, Craig CL, Clarke J, Tremblay MS. Physical activity of Canadian adults: accelerometer results from the 2007 to 2009 Canadian Health Measures Survey. Health Rep. 2011;22(1):7–14.PubMed
7.
Tonna A, Lee S, Rognmo O, Stolen T, Bye A, Haram P, et al. Aerobic interval training versus continuous moderate exercise as a treatment for the metabolic syndrome: a pilot study. Circulation. 2008;118(4):346–54.CrossRef
8.
Rennie K, McCarthy N, Yazdgerdi S, Marmot M, Brunner E. Association of the metabolic syndrome with both vigorous and moderate physical activity. Int J Epidemiol. 2003;32(4):600–6.CrossRefPubMed
9.
Montain SJ, Coyle EF. Influence of graded dehydration on hyperthermia and cardiovascular drift during exercise. J Appl Physiol. 1992;73(4):1340–50.PubMed
10.
Kim J, Tanabe K, Yokoyama N, Zempo H, Kuno S. Objectively measured light-intensity lifestyle activity and sedentary time are independently associated with metabolic syndrome: a cross-sectional study of Japanese adults. Int J Behav Nutr Phys Act. 2013;10(1):30.PubMedCentralCrossRefPubMed
11.
Loprinzi PD, Lee H, Cardinal BJ. Evidence to Support Including Lifestyle Light-Intensity Recommendations in Physical Activity Guidelines for Older Adults. American Journal of Health Promotion. 2015;0(0):null. doi:doi:10.​4278/​ajhp.​130709-QUAN-354.
12.
Green A, McGrath R, Martinez V, Taylor K, Paul D, Vella C. Associations of objectively measured sedentary behavior, light activity, and markers of cardiometabolic health in young women. Eur J Appl Physiol. 2014;114(5):907–19. doi:10.​1007/​s00421-014-2822-0.CrossRefPubMed
13.
Fritz T, Krämer DK, Karlsson HK, Galuska D, Engfeldt P, Zierath JR, et al. Low‐intensity exercise increases skeletal muscle protein expression of PPARδ and UCP3 in type 2 diabetic patients. Diabetes Metab Res Rev. 2006;22(6):492–8.CrossRefPubMed
14.
15.
16.
17.
Al-Daghri NM, Alkharfy KM, Al-Attas OS, Khan N, Alfawaz HA, Alghanim SA, et al. Gender-dependent associations between socioeconomic status and metabolic syndrome: A cross-sectional study in the adult Saudi population. BMC Cardiovasc Disord. 2014;14(1):51.PubMedCentralCrossRefPubMed
18.
Al-Daghri NM, Alkharfy KM, Al-Saleh Y, Al-Attas OS, Alokail MS, Al-Othman A, et al. Modest reversal of metabolic syndrome manifestations with vitamin D status correction: A 12-month prospective study. Metabolism. 2012;61(5):661–6.CrossRefPubMed
19.
Alzahrani AM, Karawagh AM, Alshahrani FM, Naser TA, Ahmed AA, Alsharef EH. Prevalence and predictors of metabolic syndrome among healthy Saudi Adults. Br J Diab Vasc Dis. 2012;12(2):78–80.CrossRef
20.
Al-Nuaim AA, Al-Nakeeb Y, Lyons M, Al-Hazzaa HM, Nevill A, Collins P, et al. The prevalence of physical activity and sedentary behaviours relative to obesity among adolescents from Al-Ahsa, Saudi Arabia: Rural versus urban variations. J Nutr Metab. 2012;2012:417589.PubMedCentralCrossRefPubMed
21.
Al-Rethaiaa AS, Fahmy AEA, Al-Shwaiyat NM. Obesity and eating habits among college students in Saudi Arabia: a cross sectional study. Nutrition Journal. 2010;9. doi:39 10.​1186/​1475-2891-9-39.
22.
Colley R. Quantifying the effect of exercise on total energy expenditure in obese women [(Unpublished doctoral dissertation)]. Brisbane: Queensland University of Technology; 2005.
23.
De Vries S, Van Hirtum H, Bakker I, Hopman-Rock M, Hirasing R, Van Mechelen W. Validity and reproducibility of motion sensors in youth: A systematic update. Med Sci Sports Exerc. 2009;41(4):818–27.CrossRefPubMed
24.
Atienza AA, Moser RP, Perna F, Dodd K, Ballard-Barbash R, Troiano RP, et al. Self-reported and objectively measured activity related to biomarkers using NHANES. Med Sci Sports Exerc. 2011;43(5):815–21.CrossRefPubMed
25.
Tucker JM, Welk GJ, Beyler NK, Kim Y. Associations Between Physical Activity and Metabolic Syndrome: Comparison Between Self-Report and Accelerometry. American Journal of Health Promotion. 2015.
26.
Marchesini G, Forlani G, Cerrelli F, Manini R, Natale S, Baraldi L, et al. WHO and ATPIII proposals for the definition of the metabolic syndrome in patients with Type 2 diabetes. Diabet Med. 2004;21(4):383–7.CrossRefPubMed
27.
Troiano RP. A timely meeting: Objective measurement of physical activity. Med Sci Sports Exerc. 2005;37(11 Suppl):S487–9.CrossRefPubMed
28.
Alberti K, Eckel RH, Grundy SM, Zimmet PZ, Cleeman JI, Donato KA, et al. Harmonizing the metabolic syndrome a joint interim statement of the international diabetes federation task force on epidemiology and prevention; national heart, lung, and blood institute; American heart association; world heart federation; international atherosclerosis society; and international association for the study of obesity. Circulation. 2009;120(16):1640–5.CrossRefPubMed
29.
Bankoski A, Harris TB, McClain JJ, Brychta RJ, Caserotti P, Chen KY, et al. Sedentary activity associated with metabolic syndrome independent of physical activity. Diabetes Care. 2011;34(2):497–503.PubMedCentralCrossRefPubMed
30.
Kang G-D, Guo L, Guo Z-R, Hu X-S, Wu M, Yang H-T. Continuous metabolic syndrome risk score for predicting cardiovascular disease in the Chinese population. Asia Pac J Clin Nutr. 2012;21(1):88.PubMed
31.
Aadland E, Andersen JR, Anderssen SA, Kvalheim OM. Physical activity versus sedentary behavior: associations with lipoprotein particle subclass concentrations in healthy adults. PLoS One. 2013;8(12):e85223.PubMedCentralCrossRefPubMed
32.
Carson V, Wong SL, Winkler E, Healy GN, Colley RC, Tremblay MS. Patterns of sedentary time and cardiometabolic risk among Canadian adults. Preventive Medicine. 2014;65:23–7. doi:http://​dx.​doi.​org/​10.​1016/​j.​ypmed.​2014.​04.​005.
33.
34.
Camhi SM, Sisson SB, Johnson WD, Katzmarzyk PT, Tudor-Locke C. Accelerometer-determined moderate intensity lifestyle activity and cardiometabolic health. Preventive Medicine. 2011;52(5):358–60. doi:http://​dx.​doi.​org/​10.​1016/​j.​ypmed.​2011.​01.​030.
35.
36.
Holman RM, Carson V, Janssen I. Does the fractionalization of daily physical activity (sporadic vs. bouts) impact cardiometabolic risk factors in children and youth. PLoS One. 2011;6(10):e25733.PubMedCentralCrossRefPubMed
37.
Clarke J, Janssen I. Sporadic and bouted physical activity and the metabolic syndrome in adults. Med Sci Sports Exerc. 2014;46(1):76–83.CrossRefPubMed
38.
Raynor DA, Jankowiak NM. Accelerometry-determined adherence to the 2008 physical activity guidelines for Americans among college students. Am J Health Educ. 2010;41(6):353–62.CrossRef
Metadata
Title
Association between sedentary and physical activity patterns and risk factors of metabolic syndrome in Saudi men: A cross-sectional study
Authors
Shaea Alkahtani
Ahmed Elkilany
Mohammed Alhariri
Publication date
01-12-2015
Publisher
BioMed Central
Published in
BMC Public Health / Issue 1/2015
Electronic ISSN: 1471-2458
DOI
https://doi.org/10.1186/s12889-015-2578-4

Other articles of this Issue 1/2015

BMC Public Health 1/2015 Go to the issue

Research article

The effectiveness of tobacco control television advertisements in increasing the prevalence of smoke-free homes

Research article

Female sex, poverty and globalization as determinants of obesity among rural South African type 2 diabetics: a cross-sectional study

Research article

Evidence for the low recording of weight status and lifestyle risk factors in the Danish National Registry of Patients, 1999–2012

Research article

Systematic review of structural interventions for intimate partner violence in low- and middle-income countries: organizing evidence for prevention

Research article

Reducing diarrhoea deaths in South Africa: costs and effects of scaling up essential interventions to prevent and treat diarrhoea in under-five children

Research article

Tedium vitae, death wishes, suicidal ideation and attempts in Kenya-prevalence and risk factors