Metabolic syndrome and its predictors in an urban population in Kenya: A cross sectional study

被引:27
|
作者
Omuse, Geoffrey [1 ]
Maina, Daniel [1 ]
Hoffman, Mariza [2 ]
Mwangi, Jane [3 ]
Wambua, Caroline [3 ]
Kagotho, Elizabeth [1 ]
Amayo, Angela [4 ]
Ojwang, Peter [5 ]
Premji, Zulfiqarali [6 ]
Ichihara, Kiyoshi [7 ]
Erasmus, Rajiv [2 ]
机构
[1] Aga Khan Univ Hosp, Dept Pathol, POB 30270-00100, Nairobi, Kenya
[2] Stellenbosch Univ, Dept Pathol, Div Chem Pathol, Tygerberg Hosp, POB 19113, Cape Town, South Africa
[3] PathCare Kenya Ltd, POB 12560-00606, Nairobi, Kenya
[4] Univ Nairobi, Dept Human Pathol, POB 19676-00200, Nairobi, Kenya
[5] Maseno Univ, Dept Pathol, POB Private Bag, Maseno, Kenya
[6] Muhimbili Univ Hlth & Allied Sci, Dar Es Salaam, Tanzania
[7] Yamaguchi Univ, Fac Hlth Sci, Grad Sch Med, Minami Kogushi 1-1-1, Ube, Yamaguchi 7558505, Japan
来源
BMC ENDOCRINE DISORDERS | 2017年 / 17卷
基金
英国医学研究理事会;
关键词
Metabolic syndrome; Waist circumference; Visceral adiposity; Cardiovascular risk; Kenya; Africa; LIPID-ACCUMULATION PRODUCT; VISCERAL ADIPOSITY INDEX; CARDIOVASCULAR-DISEASE; REMNANT CHOLESTEROL; RISK-FACTORS; PREVALENCE; MARKER;
D O I
10.1186/s12902-017-0188-0
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Background: The metabolic syndrome (MetS) is a clustering of interrelated risk factors which doubles the risk of cardio-vascular disease (CVD) in 5-10 years and increases the risk of type 2 diabetes 5 fold. The identification of modifiable CVD risk factors and predictors of MetS in an otherwise healthy population is necessary in order to identify individuals who may benefit from early interventions. We sought to determine the prevalence of MetS as defined by the harmonized criteria and its predictors in subjectively healthy black Africans from various urban centres in Kenya. Method: We used data collected from healthy black Africans in Kenya as part of a global study on establishing reference intervals for common laboratory tests. We determined the prevalence of MetS and its components using the 2009 harmonized criterion. Receiver operator characteristic (ROC) curve analysis was used to determine the area under the curves (AUC) for various predictors of MetS. Youden index was used to determine optimum cut-offs for quantitative measurements such as waist circumference (WC). Results: A total of 528 participants were included in the analysis. The prevalence of MetS was 25.6% (95% CI: 22.0%-29.5%). Among the surrogate markers of visceral adiposity, lipid accumulation product was the best predictor of MetS with an AUC of 0.880 while triglyceride was the best predictor among the lipid parameters with an AUC of 0.816 for all participants. The optimal WC cut-off for diagnosing MetS was 94 cm and 86 cm respectively for males and females. Conclusions: The prevalence of MetS was high for a healthy population highlighting the fact that one can be physically healthy but have metabolic derangements indicative of an increased CVD risk. This is likely to result in an increase in the cases of CVD and type 2 diabetes in Kenya if interventions are not put in place to reverse this trend. We have also demonstrated the inappropriateness of the WC cut-off of 80 cm for black African women in Kenya when defining MetS and recommend adoption of 86 cm.
引用
收藏
页数:11
相关论文
共 50 条
  • [1] Metabolic syndrome and its predictors in an urban population in Kenya: A cross sectional study
    Geoffrey Omuse
    Daniel Maina
    Mariza Hoffman
    Jane Mwangi
    Caroline Wambua
    Elizabeth Kagotho
    Angela Amayo
    Peter Ojwang
    Zulfiqarali Premji
    Kiyoshi Ichihara
    Rajiv Erasmus
    BMC Endocrine Disorders, 17
  • [2] Erratum to: Metabolic syndrome and its predictors in an urban population in Kenya: a cross sectional study
    Geoffrey Omuse
    Daniel Maina
    Mariza Hoffman
    Jane Mwangi
    Caroline Wambua
    Elizabeth Kagotho
    Angela Amayo
    Peter Ojwang
    Zulfiqarali Premji
    Kiyoshi Ichihara
    Rajiv Erasmus
    BMC Endocrine Disorders, 17
  • [3] Metabolic syndrome and its predictors in an urban population in Kenya: a cross sectional study (vol 17, pg 37, 2017)
    Omuse, Geoffrey
    Maina, Daniel
    Hoffman, Mariza
    Mwangi, Jane
    Wambua, Caroline
    Kagotho, Elizabeth
    Amayo, Angela
    Ojwang, Peter
    Premji, Zulfiqarali
    Ichihara, Kiyoshi
    Erasmus, Rajiv
    BMC ENDOCRINE DISORDERS, 2017, 17
  • [4] Metabolic Syndrome among Urban and Rural Women Population A Cross Sectional Study
    Shalini, M.
    Babu, Suresh K. P.
    Murthy, Srinivasa A. G.
    Girish, B.
    Hamsaveena
    Maunika, K.
    Vaishnavi, B.
    JOURNAL OF CLINICAL AND DIAGNOSTIC RESEARCH, 2013, 7 (09) : 1938 - 1940
  • [5] METABOLIC SYNDROME AMONG AN URBAN POPULATION IN KENYA
    Kaduka, Lydia U.
    Kenya, Eucharia
    Kuria, Elizabeth
    Kombe, Yeri
    ANNALS OF NUTRITION AND METABOLISM, 2009, 55 : 403 - 403
  • [6] Prevalence of Metabolic Syndrome and Its Components in Urban Cambodia: A Cross-Sectional Study
    Tamaoki, Miharu
    Honda, Ikumi
    Nakanishi, Keisuke
    Cheam, Sophathya
    Okawada, Manabu
    Sakakibara, Hisataka
    JOURNAL OF EPIDEMIOLOGY AND GLOBAL HEALTH, 2022, 12 (03) : 224 - 231
  • [7] Prevalence of Metabolic Syndrome and Its Components in Urban Cambodia: A Cross-Sectional Study
    Miharu Tamaoki
    Ikumi Honda
    Keisuke Nakanishi
    Sophathya Cheam
    Manabu Okawada
    Hisataka Sakakibara
    Journal of Epidemiology and Global Health, 2022, 12 : 224 - 231
  • [8] Prevalence of Metabolic Syndrome Among an Urban Population in Kenya
    Kaduka, Lydia U.
    Kombe, Yeri
    Kenya, Eucharia
    Kuria, Elizabeth
    Bore, John K.
    Bukania, Zipporah N.
    Mwangi, Moses
    DIABETES CARE, 2012, 35 (04) : 887 - 893
  • [9] Prevalence and Correlates of Metabolic Syndrome in Young Population: A Cross Sectional Study
    Jain, Jyoti
    Rao, Tarun
    Desmukh, Pradeep
    Banait, Shashank
    JOURNAL OF DIABETES & METABOLISM, 2015, 6 (03)
  • [10] Burnout syndrome and metabolic syndrome: a cross-sectional population-based study
    Merces, Magno Conceicao das
    Coelho, Julita Maria Freitas
    Lua, Iracema
    Silva, Douglas de Souza e
    Gomes, Antonio Marcos Tosoli
    Santana, Amalia Ivine Costa
    da Silva, Dandara Almeida Reis
    Neves Cunha Magalhaes, Lucelia Batista
    Junior, Argemiro D'Oliveira
    ARCHIVES OF ENVIRONMENTAL & OCCUPATIONAL HEALTH, 2021, 76 (05) : 266 - 274