Abstract
Purpose
This study tried at identifying lifestyle patterns in a sample of Lebanese adults and investigating their association with metabolically healthy overweight and obesity (MHOv/O).
Methods
This study used data from a community-based survey of Lebanese adults living in Greater Beirut (n = 305). Dietary intake was assessed using an 80-item food frequency questionnaire. MHOv/O was defined as having one or none of the following metabolic abnormalities: triglycerides ≥ 150 mg/dL; systolic blood pressure ≥ 130 mmHg; diastolic blood pressure ≥ 85 mmHg; fasting blood glucose ≥ 100 mg/dL; HDL-cholesterol < 40 mg/dL for men and < 50 mg/dL for women. 201 subjects were overweight/obese and 98 had MHOv/O. Factor analysis was implemented to derive lifestyle patterns.
Results
Two lifestyle patterns were identified: the unhealthy lifestyle pattern, which included foods such as fast food and soft drinks and was characterized by alcohol consumption and cigarette smoking. Eating at home loaded negatively on this pattern. The healthy lifestyle pattern was characterized by positive loadings of food groups such as milk and dairy products, fruits, vegetables and legumes. Sleep difficulties loaded negatively on this pattern, while vigorous and moderate physical activity loaded positively. Multiple logistic regression analyses showed that subjects belonging to the 3rd tertile of the healthy pattern scores had higher odds of MHOv/O as compared to those in the 1st tertile (OR 2.33, CI 1.04–4.81).
Conclusions
Findings of this study provided evidence on the combined effect of lifestyle patterns in relation to cardiometabolic abnormalities and highlighted the importance of focusing on ‘holistic’ lifestyle pattern modifications in designing and implementing prevention interventions in overweight and obese subjects.
Similar content being viewed by others
References
Eckel RH, Kahn R, Robertson RM, Rizza RA (2006) Preventing cardiovascular disease and diabetes: a call to action from the American Diabetes Association and the American Heart Association. Diabetes Care 29(7):1697–1699. https://doi.org/10.1161/CIRCULATIONAHA.106.176583
Correia ML, Haynes WG, Mark AL (2005) Obesity-associated hypertension. Hypertension. https://doi.org/10.1161/01.hyp.0000151325.83008.b4
Blood Pressure Lowering Treatment Trialists’ Collaboration (2015) Effects of blood pressure lowering on cardiovascular risk according to baseline body-mass index: a meta-analysis of randomised trials. Lancet 385(9971):867–874. https://doi.org/10.1016/S0140-6736(14)61171-5
Yusuf S, Hawken S, Ôunpuu S, Dans T, Avezum A, Lanas F, McQueen M, Budaj A, Pais P, Varigos J (2004) Effect of potentially modifiable risk factors associated with myocardial infarction in 52 countries (the INTERHEART study): case–control study. Lancet 364(9438):937–952. https://doi.org/10.1016/S0140-6736(04)17018-9
Eckel N, Li Y, Kuxhaus O, Stefan N, Hu FB, Schulze MB (2018) Transition from metabolic healthy to unhealthy phenotypes and association with cardiovascular disease risk across BMI categories in 90257 women (the Nurses’ Health Study): 30 year follow-up from a prospective cohort study. Lancet Diabetes Endocrinol. https://doi.org/10.1016/s2213-8587(18)30137-2
Adams KF, Schatzkin A, Harris TB, Kipnis V, Mouw T, Ballard-Barbash R, Hollenbeck A, Leitzmann MF (2006) Overweight, obesity, and mortality in a large prospective cohort of persons 50 to 71 years old. N Engl J Med 355(8):763–778. https://doi.org/10.1056/NEJMoa055643
Stefan N, Häring H-U, Hu FB, Schulze MB (2013) Metabolically healthy obesity: epidemiology, mechanisms, and clinical implications. Lancet Diabetes Endocrinol 1(2):152–162. https://doi.org/10.1016/S2213-8587(13)70062-7
Stefan N, Häring H-U, Schulze MB (2017) Metabolically healthy obesity: the low-hanging fruit in obesity treatment? Lancet Diabetes Endocrinol. https://doi.org/10.1016/s2213-8587(17)30292-9
Hinnouho G-M, Czernichow S, Dugravot A, Batty GD, Kivimaki M, Singh-Manoux A (2013) Metabolically healthy obesity and risk of mortality: does the definition of metabolic health matter? Diabetes Care. https://doi.org/10.2337/dc12-1654
Alberti KG, Eckel RH, Grundy SM, Zimmet PZ, Cleeman JI, Donato KA, Fruchart JC, James WP, Loria CM, Smith SC Jr (2009) 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 120(16):1640–1645. https://doi.org/10.1161/circulationaha.109.192644
Wildman RP, Muntner P, Reynolds K, McGinn AP, Rajpathak S, Wylie-Rosett J, Sowers MR (2008) The obese without cardiometabolic risk factor clustering and the normal weight with cardiometabolic risk factor clustering: prevalence and correlates of 2 phenotypes among the US population (NHANES 1999–2004). Arch Intern Med 168(15):1617–1624
Karelis A, Rabasa-Lhoret R (2008) Inclusion of C-reactive protein in the identification of metabolically healthy but obese (MHO) individuals. Diabetes Metab 2(34):183–184
Stefan N, Kantartzis K, Machann J, Schick F, Thamer C, Rittig K, Balletshofer B, Machicao F, Fritsche A, Häring H-U (2008) Identification and characterization of metabolically benign obesity in humans. Arch Intern Med 168(15):1609–1616
Matsuda M, DeFronzo RA (1999) Insulin sensitivity indices obtained from oral glucose tolerance testing: comparison with the euglycemic insulin clamp. Diabetes Care 22(9):1462–1470
Karelis AD, Faraj M, Bastard J-P, St-Pierre DH, Brochu M, Prud’homme D, Rabasa-Lhoret R (2005) The metabolically healthy but obese individual presents a favorable inflammation profile. J Clin Endocrinol Metab 90(7):4145–4150. https://doi.org/10.1210/jc.2005-0482
Semple RK, Savage DB, Cochran EK, Gorden P, O’rahilly S (2011) Genetic syndromes of severe insulin resistance. Endocr Rev 32(4):498–514. https://doi.org/10.1210/er.2010-0020
Ahl S, Guenther M, Zhao S, James R, Marks J, Szabo A, Kidambi S (2015) Adiponectin levels differentiate metabolically healthy vs unhealthy among obese and nonobese white individuals. J Clin Endocrinol Metab 100(11):4172–4180
Calori G, Lattuada G, Piemonti L, Garancini MP, Ragogna F, Villa M, Mannino S, Crosignani P, Bosi E, Luzi L (2010) Prevalence, metabolic features and prognosis of metabolically healthy obese Italian individuals: the Cremona Study. Diabetes Care. https://doi.org/10.2337/dc10-0665
Hamer M, Stamatakis E (2012) Metabolically healthy obesity and risk of all-cause and cardiovascular disease mortality. J Clin Endocrinol Metab 97(7):2482–2488. https://doi.org/10.1210/jc.2011-3475
Matta J, Nasreddine L, Jomaa L, Hwalla N, Mehio Sibai A, Czernichow S, Itani L, Naja F (2016) Metabolically healthy overweight and obesity is associated with higher adherence to a traditional dietary pattern: a cross-sectional study among adults in Lebanon. Nutrients 8(7):432. https://doi.org/10.3390/nu8070432
Heinzle S, Ball G, Kuk J (2016) Variations in the prevalence and predictors of prevalent metabolically healthy obesity in adolescents. Pediatr Obes 11(5):425–433. https://doi.org/10.1111/ijpo.12083
Messier V, Karelis AD, Prud’homme D, Primeau V, Brochu M, Rabasa-Lhoret R (2010) Identifying metabolically healthy but obese individuals in sedentary postmenopausal women. Obesity 18(5):911–917. https://doi.org/10.1038/oby.2009.364
de Winter M, Rioux BV, Boudreau JG, Bouchard DR, Sénéchal M (2018) Physical activity and sedentary patterns among metabolically healthy individuals living with obesity. J Diabetes Res. https://doi.org/10.1155/2018/7496768
Fung MD, Canning KL, Mirdamadi P, Ardern CI, Kuk JL (2015) Lifestyle and weight predictors of a healthy overweight profile over a 20-year follow-up. Obesity 23(6):1320–1325. https://doi.org/10.1002/oby.21087
Phillips CM, Dillon C, Harrington JM, McCarthy VJ, Kearney PM, Fitzgerald AP, Perry IJ (2013) Defining metabolically healthy obesity: role of dietary and lifestyle factors. PLoS One 8(10):e76188. https://doi.org/10.1371/journal.pone.0076188
Hankinson AL, Daviglus ML, Horn LV, Chan Q, Brown I, Holmes E, Elliott P, Stamler J (2013) Diet composition and activity level of at risk and metabolically healthy obese American adults. Obesity 21(3):637–643. https://doi.org/10.1002/oby.20257
Kimokoti RW, Judd SE, Shikany JM, Newby P (2015) Metabolically healthy obesity is not associated with food intake in white or black men. J Nutr 145(11):2551–2561. https://doi.org/10.3945/jn.115.221283
Al Thani M, Al Thani AA, Al-Chetachi W, Al Malki B, Khalifa SA, Haj Bakri A, Hwalla N, Nasreddine L, Naja F (2016) A ‘high risk’ lifestyle pattern is associated with metabolic syndrome among Qatari women of reproductive age: a cross-sectional national study. Int J Mol Sci 17(6):698. https://doi.org/10.3390/ijms17060698
Steele EM, Claro RM, Monteiro CA (2014) Behavioural patterns of protective and risk factors for non-communicable diseases in Brazil. Public Health Nutr 17(2):369–375. https://doi.org/10.1017/S1368980012005472
Kanagasabai T, Dhanoa R, Kuk JL, Ardern CI (2017) Association between sleep habits and metabolically healthy obesity in adults: a cross-sectional study. J Obes. https://doi.org/10.1155/2017/5272984
Bell JA, Hamer M, van Hees VT, Singh-Manoux A, Kivimäki M, Sabia S (2015) Healthy obesity and objective physical activity. Am J Clin Nutr 102(2):268–275. https://doi.org/10.3945/ajcn.115.110924
Camhi SM, Crouter SE, Hayman LL, Must A, Lichtenstein AH (2015) Lifestyle behaviors in metabolically healthy and unhealthy overweight and obese women: a preliminary study. PLoS One 10(9):e0138548. https://doi.org/10.1371/journal.pone.0138548
Pérez-Rodrigo C, Gianzo-Citores M, Gil Á, González-Gross M, Ortega RM, Serra-Majem L, Varela-Moreiras G, Aranceta-Bartrina J (2017) Lifestyle patterns and weight status in spanish adults: the ANIBES study. Nutrients 9(6):606. https://doi.org/10.3390/nu9060606
Moschonis G, Kalliora AC, Costarelli V, Papandreou C, Koutoukidis D, Lionis C, Chrousos GP, Manios Y (2014) Identification of lifestyle patterns associated with obesity and fat mass in children: the Healthy Growth Study. Public Health Nutr 17(3):614–624. https://doi.org/10.1017/S1368980013000323
Waidyatilaka I, de Silva A, de Lanerolle-Dias M, Wickremasinghe R, Atukorala S, Somasundaram N, Lanerolle P (2014) Lifestyle patterns and dysglycaemic risk in urban Sri Lankan women. Br J Nutr 112(6):952–957. https://doi.org/10.1017/S0007114514001676
Al Thani M, Al Thani AA, Al-Chetachi W, Al Malki B, Khalifa SA, Bakri AH, Hwalla N, Nasreddine L, Naja F (2015) Lifestyle patterns are associated with elevated blood pressure among qatari women of reproductive age: a cross-sectional national study. Nutrients 7(9):7593–7615. https://doi.org/10.3390/nu7095355
Nasreddine L, Naja F, Sibai A-M, Helou K, Adra N, Hwalla N (2014) Trends in nutritional intakes and nutrition-related cardiovascular disease risk factors in Lebanon: the need for immediate action. J Med Liban 103(1151):1–9. https://doi.org/10.12816/0004102
Naja F, Shatila H, Meho L, Alameddine M, Haber S, Nasreddine L, Sibai AM, Hwalla N (2017) Gaps and opportunities for nutrition research in relation to non-communicable diseases in Arab countries: call for an informed research agenda. Nutr Res. https://doi.org/10.1016/j.nutres.2017.07.011
Nasreddine L, Tamim H, Itani L, Nasrallah MP, Isma’eel H, Nakhoul NF, Abou-Rizk J, Naja F (2018) A minimally processed dietary pattern is associated with lower odds of metabolic syndrome among Lebanese adults. Public Health Nutr 21(1):160–171. https://doi.org/10.1017/S1368980017002130
Committee IR (2005) Guidelines for data processing and analysis of the International Physical Activity Questionnaire (IPAQ)-short and long forms. http://www.sdp.univ.fvg.it/sites/default/files/IPAQ_English_self-admin_short.pdf. Accessed 20 June 2018
Pellet P, Shadarevian S (1970) Food composition: tables for use in the Middle East, 2nd edn. American University of Beirut, Beirut, Lebanon
Millen BE, Morgan JL (1996) The 2D food portion visual. Nutrition and Consulting Enterprises, Framingham, MA
Blüher M (2012) Are there still healthy obese patients? Curr Opin Endocrinol Diabetes Obes 19(5):341–346. https://doi.org/10.1097/MED.0b013e328357f0a3
McCann SE, Marshall JR, Brasure JR et al (2001) Analysis of patterns of food intake in nutritional epidemiology: food classification in principal components analysis and the subsequent impact on estimates for endometrial cancer. Public Health Nutr 4:989–997. https://doi.org/10.1079/PHN2001168
Fleiss J et al (2003) Statistical methods for rates and proportions. http://www.sample-size.net/proportions-effect-size/. Accessed 30 June 2018
Hoffmann I (2003) Transcending reductionism in nutrition research. Am J Clin Nutr 78(3):514S–516S. https://doi.org/10.1093/ajcn/78.3.514S
Kim S, Lee H, Lee D-C, Lee H-S, Lee J-W (2014) Predominance of small dense LDL differentiates metabolically unhealthy from metabolically healthy overweight adults in Korea. Metabolism 63(3):415–421. https://doi.org/10.1016/j.metabol.2013.11.015
Hong HC, Lee J-S, Choi HY, Yang SJ, Yoo HJ, Seo JA, Kim SG, Kim NH, Baik SH, Choi DS (2013) Liver enzymes and vitamin D levels in metabolically healthy but obese individuals: Korean National Health and Nutrition Examination Survey. Metabolism 62(9):1305–1312. https://doi.org/10.1016/j.metabol.2013.04.002
Mathew H, Farr OM, Mantzoros CS (2016) Metabolic health and weight: understanding metabolically unhealthy normal weight or metabolically healthy obese patients. Metab Clin Exp 65(1):73–80
Gonçalves CG, Glade MJ, Meguid MM (2016) Metabolically healthy obese individuals: key protective factors. Nutrition 32(1):14–20. https://doi.org/10.1016/j.nut.2015.07.010
Steffen LM, Jacobs DR Jr, Stevens J, Shahar E, Carithers T, Folsom AR (2003) Associations of whole-grain, refined-grain, and fruit and vegetable consumption with risks of all-cause mortality and incident coronary artery disease and ischemic stroke: the Atherosclerosis Risk in Communities (ARIC) Study. Am J Clin Nutr 78(3):383–390. https://doi.org/10.1093/ajcn/78.3.383
Liu S, Manson JE, Lee I-M, Cole SR, Hennekens CH, Willett WC, Buring JE (2000) Fruit and vegetable intake and risk of cardiovascular disease: the Women’s Health Study. Am J Clin Nutr 72(4):922–928. https://doi.org/10.1093/ajcn/72.4.922
McCullough ML, Bandera EV, Patel R, Patel AV, Gansler T, Kushi LH, Thun MJ, Calle EE (2007) A prospective study of fruits, vegetables, and risk of endometrial cancer. Am J Epidemiol 166(8):902–911. https://doi.org/10.1093/aje/kwm156
Naja F, Hwalla N, Itani L, Baalbaki S, Sibai A, Nasreddine L (2015) A novel Mediterranean diet index from Lebanon: comparison with Europe. Eur J Nutr 54(8):1229–1243. https://doi.org/10.1007/s00394-014-0801-1
St-Onge M, Wolfe S, Sy M, Shechter A, Hirsch J (2014) Sleep restriction increases the neuronal response to unhealthy food in normal-weight individuals. Int J Obes 38(3):411. https://doi.org/10.1038/ijo.2013.114
Spiegel K, Tasali E, Leproult R, Van Cauter E (2009) Effects of poor and short sleep on glucose metabolism and obesity risk. Nat Rev Endocrinol 5(5):253. https://doi.org/10.1038/nrendo.2009.23
Spiegel K, Knutson K, Leproult R, Tasali E, Cauter EV (2005) Sleep loss: a novel risk factor for insulin resistance and type 2 diabetes. J Appl Physiol 99(5):2008–2019. https://doi.org/10.1152/japplphysiol.00660.2005
Spiegel K, Leproult R, Van Cauter E (1999) Impact of sleep debt on metabolic and endocrine function. Lancet 354(9188):1435–1439. https://doi.org/10.1016/S0140-6736(99)01376-8
de Rooij BH, van der Berg JD, van der Kallen CJ, Schram MT, Savelberg HH, Schaper NC, Dagnelie PC, Henry RM, Kroon AA, Stehouwer CD (2016) Physical activity and sedentary behavior in metabolically healthy versus unhealthy obese and non-obese individuals—the Maastricht study. PLoS One 11(5):e0154358. https://doi.org/10.1371/journal.pone.0154358
Poelkens F, Eijsvogels TM, Brussee P, Verheggen RJ, Tack CJ, Hopman MT (2014) Physical fitness can partly explain the metabolically healthy obese phenotype in women. Exp Clin Endocrinol Diabetes 122(2):87–91. https://doi.org/10.1055/s-0033-1363686
Velho S, Paccaud F, Waeber G, Vollenweider P, Marques-Vidal P (2010) Metabolically healthy obesity: different prevalences using different criteria. Eur J Clin Nutr 64(10):1043. https://doi.org/10.1038/ejcn.2010.114
Brown R, Kuk J (2015) Consequences of obesity and weight loss: a devil’s advocate position. Obes Rev 16(1):77–87. https://doi.org/10.1111/obr.12232
van der Heijden G-J, Toffolo G, Manesso E, Sauer PJ, Sunehag AL (2009) Aerobic exercise increases peripheral and hepatic insulin sensitivity in sedentary adolescents. J Clin Endocrinol Metab 94(11):4292–4299. https://doi.org/10.1210/jc.2009-1379
Park Y-MM, Steck SE, Fung TT, Zhang J, Hazlett LJ, Han K, Lee S-H, Kwon H-S, Merchant AT (2017) Mediterranean diet, dietary approaches to stop hypertension (DASH) style diet, and metabolic health in US adults. Clin Nutr 36(5):1301–1309. https://doi.org/10.1016/j.clnu.2016.08.018
Jonnalagadda SS, Harnack L, Hai Liu R, McKeown N, Seal C, Liu S, Fahey GC (2011) Putting the whole grain puzzle together: health benefits associated with whole grains—summary of American Society for Nutrition 2010 satellite symposium. J Nutr 141(5):1011S–1022S. https://doi.org/10.3945/jn.110.132944
Slavin J (2013) Fiber and prebiotics: mechanisms and health benefits. Nutrients 5(4):1417–1435. https://doi.org/10.3390/nu5041417
Liu RH (2013) Health-promoting components of fruits and vegetables in the diet. Adv Nutr 4(3):384S–392S. https://doi.org/10.3945/an.112.003517
Esmaillzadeh A, Kimiagar M, Mehrabi Y, Azadbakht L, Hu FB, Willett WC (2006) Fruit and vegetable intakes, C-reactive protein, and the metabolic syndrome. Am J Clin Nutr 84(6):1489–1497. https://doi.org/10.1093/ajcn/84.6.1489
Fernandez ML, West KL (2005) Mechanisms by which dietary fatty acids modulate plasma lipids. J Nutr 135(9):2075–2078. https://doi.org/10.1093/jn/135.9.2075
Lopez S, Bermudez B, Ortega A, Varela LM, Pacheco YM, Villar J, Abia R, Muriana FJ (2011) Effects of meals rich in either monounsaturated or saturated fat on lipid concentrations and on insulin secretion and action in subjects with high fasting triglyceride concentrations. Am J Clin Nutr 93(3):494–499. https://doi.org/10.3945/ajcn.110.003251
Zemel MB (2003) Mechanisms of dairy modulation of adiposity. J Nutr 133(1):252S–256S. https://doi.org/10.1093/jn/133.1.252S
Zemel MB (2003) Role of dietary calcium and dairy products in modulating adiposity. Lipids 38(2):139–146. https://doi.org/10.1007/s11745-003-1044-6
Naja F, Nasreddine L, Itani L, Chamieh MC, Adra N, Sibai AM, Hwalla N (2011) Dietary patterns and their association with obesity and sociodemographic factors in a national sample of Lebanese adults. Public Health Nutr 14(9):1570–1578. https://doi.org/10.1017/S136898001100070X
Du D, Bruno R, Dwyer T, Venn A, Gall S (2017) Associations between alcohol consumption and cardio-metabolic risk factors in young adults. Eur J Prev Cardiol 24(18):1967–1978. https://doi.org/10.1177/2047487317724008
O’Keefe JH, Bhatti SK, Patil HR, DiNicolantonio JJ, Lucan SC, Lavie CJ (2013) Effects of habitual coffee consumption on cardiometabolic disease, cardiovascular health, and all-cause mortality. J Am Coll Cardiol 62(12):1043–1051. https://doi.org/10.1016/j.jacc.2013.06.035
Patino-Alonso MC, Recio-Rodríguez JI, Belio JFM, Colominas-Garrido R, Lema-Bartolomé J, Arranz AG, Agudo-Conde C, Gomez-Marcos MA, García-Ortiz L, Group E (2014) Factors associated with adherence to the Mediterranean diet in the adult population. J Acad Nutr Diet 114(4):583–589. https://doi.org/10.1016/j.jand.2013.07.038
Hu EA, Toledo E, Diez-Espino J, Estruch R, Corella D, Salas-Salvado J, Vinyoles E, Gomez-Gracia E, Aros F, Fiol M (2013) Lifestyles and risk factors associated with adherence to the Mediterranean diet: a baseline assessment of the PREDIMED trial. PLoS One 8(4):e60166. https://doi.org/10.1371/journal.pone.0060166
Nasreddine L, Hwalla N, Sibai A, Hamzé M, Parent-Massin D (2006) Food consumption patterns in an adult urban population in Beirut, Lebanon. Public Health Nutr 9(2):194–203. https://doi.org/10.1079/PHN2005855
Kim S, Symons M, Popkin BM (2004) Contrasting socioeconomic profiles related to healthier lifestyles in China and the United States. Am J Epidemiol 159(2):184–191. https://doi.org/10.1093/aje/kwh006
Appelhans BM, Milliron B-J, Woolf K, Johnson TJ, Pagoto SL, Schneider KL, Whited MC, Ventrelle JC (2012) Socioeconomic status, energy cost, and nutrient content of supermarket food purchases. Am J Prev Med 42(4):398–402. https://doi.org/10.1016/j.amepre.2011.12.007
Darmon N, Drewnowski A (2008) Does social class predict diet quality? Am J Clin Nutr 87(5):1107–1117. https://doi.org/10.1093/ajcn/87.5.1107
Giskes K, Avendaňo M, Brug J, Kunst A (2010) A systematic review of studies on socioeconomic inequalities in dietary intakes associated with weight gain and overweight/obesity conducted among European adults. Obes Rev 11(6):413–429. https://doi.org/10.1111/j.1467-789X.2009.00658.x
Pechey R, Jebb SA, Kelly MP, Almiron-Roig E, Conde S, Nakamura R, Shemilt I, Suhrcke M, Marteau TM (2013) Socioeconomic differences in purchases of more vs. less healthy foods and beverages: analysis of over 25,000 British households in 2010. Soc Sci Med 92:22–26. https://doi.org/10.1016/j.socscimed.2013.05.012
Willett W (1998) Nutritional epidemiology, 2nd edn. Oxford University Press, New York
Naja F, Nasreddine L, Itani L, Adra N, Sibai A, Hwalla N (2013) Association between dietary patterns and the risk of metabolic syndrome among Lebanese adults. Eur J Nutr 52(1):97–105. https://doi.org/10.1007/s00394-011-0291-3
Caan BJ, Lanza E, Schatzkin A, Coates AO, Brewer BK, Slattery ML, Marshall JR, Bloch A (1999) Does nutritionist review of a self-administered food frequency questionnaire improve data quality? Public Health Nutr 2(4):565–569. https://doi.org/10.1017/S1368980099000750
Okamoto K, Ohsuka K, Shiraishi T, Hukazawa E, Wakasugi S, Furuta K (2002) Comparability of epidemiological information between self-and interviewer-administered questionnaires. J Clin Epidemiol 55(5):505–511. https://doi.org/10.1016/S0895-4356(01)00515-7
Kolovou GD, Kolovou V, Mavrogeni S (2016) Cigarette smoking/cessation and metabolic syndrome. Clin Lipidol 11(1):6–14
Acknowledgements
We would like to acknowledge the contribution of Mrs. Hibeh Shatila for coordinating data analysis and editing the manuscript.
Funding
The original survey was supported by a Grant from the National Council for Scientific Research (LNCSR) (L. N., award number 02-06-14); the American University of Beirut Research Board (L. N. award number 103006/22691); the Medical Practice Plan at the American University of Beirut (H. T., award number 100410, project number 20061); and the Novo Nordisk development programme. The funders had no role in the design, analysis or writing of this article.
Author information
Authors and Affiliations
Contributions
LN and FN formulated the research question. LN drafted the manuscript and contributed to the interpretation of the data. HT led the parent study. MN and LN provided support in conceiving and designing the parent study. LI contributed to data analysis and interpretation. LN, HT and MN acquired the data. FN conducted data analysis and contributed to data interpretation and write up of the manuscript. All authors critically reviewed the manuscript and guarantee the accuracy of their input and the integrity of this work.
Corresponding authors
Ethics declarations
Conflict of interest
The authors declare that they have no conflict of interest.
Appendix 1
Appendix 1
See Table 5.
Rights and permissions
About this article
Cite this article
Naja, F., Itani, L., Nasrallah, M.P. et al. A healthy lifestyle pattern is associated with a metabolically healthy phenotype in overweight and obese adults: a cross-sectional study. Eur J Nutr 59, 2145–2158 (2020). https://doi.org/10.1007/s00394-019-02063-9
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00394-019-02063-9