Understanding the metabolic syndrome (MetS) prevalence at the national level is important to develop effective programs and strategies to prevent and control MetS. This study aimed to analyze the prevalence of MetS according to gender and aging stage, and its association with potential factors in older individuals ≥60 years of age in Colombia.
Methods:
The data for this study came from a secondary cross-sectional, nationally representative SABE study Survey on Health, Well-Being, and Aging in Colombia, 2015. A total of 1637 participants (60.7% women, 70.5 ± 7.9 years) from 86 Colombian municipalities participated. A structured questionnaire was used to collect data on socio-demography, lifestyle, and self-report medical conditions. Measurements included anthropometric (weight, waist circumference, body mass index), sarcopenia “proxy” status (calf circumference) handgrip strength levels, high-density lipoprotein cholesterol, triglycerides, fasting glucose, and blood pressure. Univariate and multiple regression models were established as part of the main analysis.
Results:
Using the harmonized Joint Scientific Statement criteria, MetS was present in 54.9% of the study population, with a higher prevalence among females than males (59.8% vs. 47.3%). Individuals who were cigarette smokers (odds ratio [OR] = 1.5; 95% confidence interval [CI] = 1.0–2.4; P = 0.034), female gender (OR = 1.3; 95% CI = 1.0–1.8; P = 0.020), and sarcopenia “proxy” (OR = 1.6; 95% CI = 1.0–2.5; P = 0.026) were more likely to have a higher prevalence estimate of MetS, after controlling for relevant covariates.
Conclusions:
Overall prevalence of MetS among older adults in Colombia is high. Smoking, female gender, and sarcopenia “proxy” status are associated with MetS. These results suggested that MetS is still a serious public burden in Colombia, and screening for promotion of healthy lifestyle and nutrition counseling should be offered routinely in old age.
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References
1.
United Nations. United Nations Department of Economic and Social Department of Economic and Social World Population Ageing. United Nat(ST/ESA/SER.A/390). 2015.
2.
HoskinsI, KalacheA, MendeS. Toward primary health care adapted to elderly people [in Spanish]. Rev Panam Salud Publica, 2005; 17:444–451.
3.
StamblerI, JinK, LedermanS, et al.Aging health and R&D for healthy longevity must be included into the WHO work program. Aging Dis, 2018; 9:331.
4.
United Nations. Department of Economic and Social Affairs of the Secretariat. World Popul Prospect Revis Waste Manag Res, 2012; 27:800–812.
5.
PAHO/WHO. Health in the Americas. Health of older persons. 2017. Accessed at https://www.paho.org/salud-en-las-americas-2017/?p=1627 on June 19, 2020.
6.
McCarthyM. Boom in Latin American and Caribbean elderly population. Region's health systems have 10 years to prepare for rising number of elderly, report warns. Lancet, 2004; 363:458–459.
7.
IsoH, SatoS, KitamuraA, et al.Metabolic syndrome and the risk of ischemic heart disease and stroke among Japanese men and women. Stroke, 2007; 38:1744–1751.
8.
EapenD, KalraGL, MerchantN, et al.Metabolic syndrome and cardiovascular disease in South Asians. Vasc Health Risk Manag, 2009; 5:731–743.
9.
ArbelY, HavakukO, HalkinA, et al.Relation of metabolic syndrome with long-term mortality in acute and stable coronary disease. Am J Cardiol, 2015; 115:283–287.
10.
LiX, LiX, LinH, et al.Metabolic syndrome and stroke: A meta-analysis of prospective cohort studies. J Clin Neurosci, 2017; 40:34–38.
11.
GurgenianSV, VatinianSk, ZelveianPA. Metabolic syndrome and coronary heart disease. Ter Arkh, 2014; 86:106.
12.
XanthakisV, SungJH, SamdarshiTE, et al.Relations between subclinical disease markers and type 2 diabetes, metabolic syndrome, and incident cardiovascular disease: The Jackson Heart Study. Diabetes Care, 2015; 38:1082–1088.
13.
SandovalF, Macedo-OjedaG, Márquez-Viramontes-HörnerD. The prevalence of metabolic syndrome in Latin America: A systematic review. Public Health Nutr, 2011; 14:1702–1713.
14.
XiB, HeD, HuY, et al.Prevalence of metabolic syndrome and its influencing factors among the Chinese adults: The China Health and Nutrition Survey in 2009. Prev Med, 2013; 57:867–871.
15.
KapourchaliFR, SurendiranG, GouletA, et al.The role of dietary cholesterol in lipoprotein metabolism and related metabolic abnormalities: A mini-review. Crit Rev Food Sci Nutr, 2016; 56:2408–2415.
16.
HwangH-J, KimS-H. The association among three aspects of physical fitness and metabolic syndrome in a Korean elderly population. Diabetol Metab Syndr, 2015; 7:112.
17.
Martínez-TorresJ, Correa-BautistaJ, González-RuízK, et al.A cross-sectional study of the prevalence of metabolic syndrome and associated factors in colombian collegiate students: The FUPRECOL-adults study. Int J Environ Res Public Health, 2017; 14:233.
18.
Ramírez-VélezR, Pérez-SousaMÁ, IzquierdoM, et al.Validation of surrogate anthropometric indices in older adults: What is the best indicator of high cardiometabolic risk factor clustering?. Nutrients, 2019; 11:1701.
19.
FrançaSL, LimaSS, VieiraJRDS. Metabolic syndrome and associated factors in adults of the Amazon region. PLoS One, 2016; 11:e0167320.
20.
SempérteguiF, EstrellaB, TuckerKL, et al.Metabolic syndrome in the elderly living in marginal peri-urban communities in Quito, Ecuador. Public Health Nutr, 2011; 14:758–767.
21.
PopkinBM, ReardonT. Obesity and the food system transformation in Latin America. Obes Rev, 2018; 19:1028–1064.
22.
GomezF, CorchueloJ, CurcioC-L, et al.SABE Colombia: Survey on health, well-being, and aging in Colombia-study design and protocol. Curr Gerontol Geriatr Res, 2016; 2016:7910205.
23.
Ortega-LenisD, MendezF. Survey on health, well-being and aging. SABE Colombia 2015: Technical Report. Colomb Med (Cali). 2019; 50:128–138.
24.
NIH Classification of Overweight and Obesity byBMI, WaistCircumference, and Associated DiseaseRisks. 2019. Accessed at https://www.nhlbi.nih.gov/health/educational/lose_wt/BMI/bmi_dis.htm on June 19, 2020.
25.
RollandY, Lauwers-CancesV, CournotM, et al.Sarcopenia, calf circumference, and physical function of elderly women: A cross-sectional study. J Am Geriatr Soc, 2003; 51:1120–1124.
26.
LandiF, OnderG, RussoA, et al.Calf circumference, frailty and physical performance among older adults living in the community. Clin Nutr, 2014; 33:539–544.
27.
MartoneAM, MarzettiE, CalvaniR, et al.Assessment of sarcopenia: From clinical practice to research. J Gerontol Geriatr, 2019; 67:39–45.
28.
ArvandiM, StrasserB, MeisingerC, et al.Gender differences in the association between grip strength and mortality in older adults: Results from the KORA-age study. BMC Geriatr, 2016; 16:201.
29.
AlbertiKGMM, EckelRH, GrundySM, et al.World Heart Federation; International Atherosclerosis Society; International Association for the Study of Obesity 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. Circulation, 2009; 120:1640–1645.
30.
Chimbo-YungaJM, Chuchuca-Cajamarca ÁJ, WongS, et al.Metabolic syndrome and physical activity in elderly people from the Ecuadorian highlands [in Spanish]. Rev Salud Publica (Bogota), 2017; 19:754–759.
31.
RubinsteinAL, IrazolaVE, CalandrelliM, et al.Multiple cardiometabolic risk factors in the Southern Cone of Latin America: A population-based study in Argentina, Chile, and Uruguay. Int J Cardiol, 2015; 183:82–88.
32.
DavilaEP, QuinteroMA, OrregoML, et al.Prevalence and risk factors for metabolic syndrome in Medellin and surrounding municipalities, Colombia, 2008–2010. Prev Med, 2013; 56:30–34.
33.
EscobedoJ, SchargrodskyH, ChampagneB. Prevalence of the metabolic syndrome in Latin America and its association with sub-clinical carotid atherosclerosis: The CARMELA cross sectional study. Cardiovasc Diabetol, 2009; 8:52.
34.
AnsarimoghaddamA, AdinehHA, ZarebanI, et al.Prevalence of metabolic syndrome in Middle-East countries: Meta-analysis of cross-sectional studies. Diabetes Metab Syndr Clin Res Rev, 2018; 12:195–201.
35.
HuangY, LiuX. Leisure-time physical activity and the risk of metabolic syndrome: Meta-analysis. Eur J Med Res, 2014; 19:22.
36.
WilsonPWF, KannelWB, SilbershatzH, et al.Clustering of metabolic factors and coronary heart disease. Arch Intern Med, 1999; 159:1104–1109.
37.
CarrMC. The emergence of the metabolic syndrome with menopause. J Clin Endocrinol Metab, 2003; 88:2404–2411.
38.
BlumelJE, Castelo-BrancoC, BinfaL, et al.Quality of life after the menopause: A population study. Maturitas, 2000; 34:17–23.
39.
Castelo-BrancoC, BlümelJE, ChedrauiP, et al.Age at menopause in Latin America. Menopause, 2006; 13:706–712.
40.
SierraB, HidalgoLA, ChedrauiPA. Measuring climacteric symptoms in an Ecuadorian population with the Greene Climacteric Scale. Maturitas, 2005; 51:236–245.
41.
ChedrauiP, HidalgoL, ChavezD, et al.Menopausal symptoms and associated risk factors among postmenopausal women screened for the metabolic syndrome. Arch Gynecol Obstet, 2007; 275:161.
42.
WangW-S, WahlqvistML, HsuC-C, et al.Age-and gender-specific population attributable risks of metabolic disorders on all-cause and cardiovascular mortality in Taiwan. BMC Public Health, 2012; 12:111.
43.
VishramJKK, BorglykkeA, AndreasenAH, et al.Impact of age and gender on the prevalence and prognostic importance of the metabolic syndrome and its components in Europeans. The MORGAM Prospective Cohort Project. PLoS One, 2014; 9:e107294.
44.
KriegerN. Genders, sexes, and health: What are the connections—And why does it matter?. Int J Epidemiol, 2003; 32:652–657.
45.
EUGenMed Cardiovascular Clinical Study Group; Regitz-Zagrosek V, Oertelt-Prigione S. Gender in cardiovascular diseases: Impact on clinical manifestations, management, and outcomes. Eur Heart J, 2015; 37:24–34.
46.
PucciG, AlcidiR, TapL, et al.Sex-and gender-related prevalence, cardiovascular risk and therapeutic approach in metabolic syndrome: A review of the literature. Pharmacol Res, 2017; 120:34–42.
47.
DallongevilleJ, CottelD, ArveilerD, et al.The association of metabolic disorders with the metabolic syndrome is different in men and women. Ann Nutr Metab, 2004; 48:43–50.
48.
ChenY, WuH, HwangS, et al.Exploring the components of metabolic syndrome with respect to gender difference and its relationship to health-promoting lifestyle behaviour: A study in Taiwanese urban communities. J Clin Nurs, 2010; 19:3031–3041.
49.
KangY, KimJ. Gender difference on the association between dietary patterns and metabolic syndrome in Korean population. Eur J Nutr, 2016; 55:2321–2330.
50.
BeighSH, JainS. Prevalence of metabolic syndrome and gender differences. Bioinformation, 2012; 8:613–616.
51.
RochlaniY, PothineniNV, MehtaJL. Metabolic syndrome: Does it differ between women and men?. Cardiovasc Drugs Ther, 2015; 29:329–338.
52.
St-OngeM-P, JanssenI, HeymsfieldSB. Metabolic syndrome in normal-weight Americans: New definition of the metabolically obese, normal-weight individual. Diabetes Care, 2004; 27:2222–2228.
53.
ZhangH, LinS, GaoT, et al.Association between sarcopenia and metabolic syndrome in middle-aged and older non-obese adults: A systematic review and meta-analysis. Nutrients, 2018; 10:364.
54.
Patino-HernandezD, David-PardoDG, BordaMG. Association of Fatigue With Sarcopenia and its Elements: Analysis of SABE-Bogotá. Gerontol Geriatr Med, 2017; 3:2333721417703734.
55.
CenaH, FonteML, TurconiG. Relationship between smoking and metabolic syndrome. Nutr Rev, 2011; 69:745–753.
56.
BermudezV, OlivarLC, TorresW, et al.Cigarette smoking and metabolic syndrome components: A cross-sectional study from Maracaibo City, Venezuela. F1000Research, 2018; 7:565.
57.
HeY, LamTH, JiangB, et al.Combined effects of tobacco smoke exposure and metabolic syndrome on cardiovascular risk in older residents of China. J Am Coll Cardiol, 2009; 53:363–371.
