Socioeconomic inequalities in metabolic syndrome and its components in a sample of Iranian Kurdish adults

被引:1
作者
Mohammadzadeh, Pardis [1 ,2 ]
Moradpour, Farhad [3 ]
Nouri, Bijan [4 ]
Mostafavi, Farideh [5 ]
Najafi, Farid [6 ]
Moradi, Ghobad [1 ,3 ,7 ]
机构
[1] Kurdistan Univ Med Sci, Sch Med, Dept Epidemiol & Biostat, Sanandaj, Iran
[2] Kurdistan Univ Med Sci, Student Res Comm, Sanandaj, Iran
[3] Kurdistan Univ Med Sci, Social Determinants Hlth Res Ctr, Sanandaj, Iran
[4] Kurdistan Univ Med Sci, Res Inst Hlth Dev, Hlth Metr & Evaluat Res Ctr, Sanandaj, Iran
[5] Shahid Beheshti Univ Med Sci, Sch Publ Hlth & Safety, Dept Epidemiol, Tehran, Iran
[6] Kermanshah Univ Med Sci, Sch Hlth, Dept Epidemiol, Kermanshah, Iran
[7] Kurdistan Univ Med Sci, Sch Med, Dept Epidemiol & Biostat, Sanandaj 6617913446, Iran
来源
EPIDEMIOLOGY AND HEALTH | 2023年 / 45卷
关键词
Metabolic syndrome; Social class; Health inequalities; Concentration index; Iran; RISK-FACTORS; CONCENTRATION INDEX; PREVALENCE; DECOMPOSITION; HYPERTENSION; DISEASE; GENDER; WEALTH;
D O I
10.4178/epih.e2023083
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
OBJECTIVES: The worldwide incidence of metabolic syndrome (MetS) has increased in recent decades. In this study, we investigated the socioeconomic inequalities associated with MetS and its components in a sample of the Iranian Kurdish population. METHODS: We used data from 3,996 participants, aged 35 years to 70 years, from the baseline phase of the Dehgolan Prospective Cohort Study (February 2018 to March 2019). The concentration index and concentration curve were used to measure in-equality and the Blinder-Oaxaca decomposition method was used to examine the contribution of various determinants to the observed socioeconomic inequality in MetS and its components.RESULTS: The prevalence of MetS was 34.44% (95% confidence interval [CI], 32.97 to 35.93). The prevalence of MetS was 26.18% for those in the highest socioeconomic status (SES), compared with 40.51% for participants in the lowest SES. There was a significant negative concentration index for MetS (C =-0.13; 95% CI,-0.16 to-0.09), indicating a concentration of MetS among participants with a lower SES. The most prevalent component was abdominal obesity (59.14%) with a significant negative concentration index (C =-0.21; 95% CI,-0.25 to-0.18). According to decomposition analysis, age, gender, and education were the highest contributing factors to inequality in MetS and its components.CONCLUSIONS: This study showed socioeconomic inequality in MetS. People with a low SES were more likely to have MetS. Therefore, policymakers and health managers need to develop appropriate strategies to reduce these inequalities in MetS across age groups, genders, and education levels, especially among women and the elderly.
引用
收藏
页码:1 / 13
页数:13
相关论文
共 50 条
  • [11] Delavar MA, 2009, SE ASIAN J TROP MED, V40, P612
  • [12] Prevalence of metabolic syndrome in Iran: A meta-analysis of 69 studies
    Farmanfarma, Khadijeh Kalan
    Kaykhaei, Mahmoud Ali
    Adineh, Hosein Ali
    Mohammadi, Mehdi
    Dabiri, Soroosh
    Ansari-moghaddam, Alireza
    [J]. DIABETES & METABOLIC SYNDROME-CLINICAL RESEARCH & REVIEWS, 2019, 13 (01) : 792 - 799
  • [13] Socioeconomic inequality in hypertension in Iran
    Fateh, Mansooreh
    Emamian, Mohammad Hassan
    Asgari, Fereshteh
    Alami, Ali
    Fotouhi, Akbar
    [J]. JOURNAL OF HYPERTENSION, 2014, 32 (09) : 1782 - 1788
  • [14] Estimating wealth effects without expenditure data - Or tears: An application to educational enrollments in states of India
    Filmer, D
    Pritchett, LH
    [J]. DEMOGRAPHY, 2001, 38 (01) : 115 - 132
  • [15] Diagnosis and management of the metabolic syndrome - An American Heart Association/National Heart, Lung, and Blood Institute Scientific Statement
    Grundy, SM
    Cleeman, JI
    Daniels, SR
    Donato, KA
    Eckel, RH
    Franklin, BA
    Gordon, DJ
    Krauss, RM
    Savage, PJ
    Smith, SC
    Spertus, JA
    Costa, F
    [J]. CIRCULATION, 2005, 112 (17) : 2735 - 2752
  • [16] Hajian-Tilaki K, 2015, CASP J INTERN MED, V6, P51
  • [17] Hlavac M., 2014, PREPRINT, DOI [10.2139/ssrn.2528391, DOI 10.2139/SSRN.2528391]
  • [18] Understanding socioeconomic differences in incident metabolic syndrome among adults: What is the mediating role of health behaviours?
    Hoveling, Liza A.
    Liefbroer, Aart C.
    Bultmann, Ute
    Smidt, Nynke
    [J]. PREVENTIVE MEDICINE, 2021, 148
  • [19] A comprehensive definition for metabolic syndrome
    Huang, Paul L.
    [J]. DISEASE MODELS & MECHANISMS, 2009, 2 (5-6) : 231 - 237
  • [20] DECOMPOSING DIFFERENCES BETWEEN GROUPS - A CAUTIONARY NOTE ON MEASURING DISCRIMINATION
    JONES, FL
    KELLEY, J
    [J]. SOCIOLOGICAL METHODS & RESEARCH, 1984, 12 (03) : 323 - 343