Prevalence of metabolic syndrome and associated risk factors among tribal adolescents of Gujarat

Mahajan, Nupur; Kshatriya, Gautam K.

doi:10.1016/j.dsx.2020.06.040

Cited by 8 publications

(6 citation statements)

References 32 publications

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“…All studies included in this study were cross-sectional studies. Regarding study population, 20 studies [ 35 , 47 , 50 , 55 , 57 , 58 , 63 , 69 , 71 , 72 , 77 , 79 , 84 , 87 – 89 , 91 , 92 , 95 , 104 ] were conducted among overweight and/or obese children and adolescents, and 56 studies [ 33 , 34 , 36 – 46 , 48 , 49 , 51 – 54 , 56 , 59 – 62 , 64 – 68 , 70 , 73 – 76 , 78 , 80 – 83 , 85 , 86 , 90 , 93 , 94 , 96 – 103 , 105 – 108 ] were conducted among the general population of children and adolescents. This review included 142,142 study participants from 76 articles.…”

Section: Resultsmentioning

confidence: 99%

“…The pooled prevalence of MetS was estimated in LMICs using the IDF, ATP III and de Ferranti diagnostic methods. A total of 30 [ 33 , 36 – 38 , 40 – 44 , 46 , 48 , 51 , 52 , 54 , 60 , 62 , 68 , 70 , 73 – 75 , 78 , 80 , 81 , 83 , 85 , 90 , 94 , 98 , 102 ], 33 [ 34 , 39 , 42 , 43 , 51 , 53 , 56 , 59 – 62 , 65 – 67 , 73 – 76 , 82 , 85 , 86 , 93 , 96 – 102 , 105 – 108 ], and 8 [ 42 , 45 , 49 , 51 , 64 , 75 , 78 , 103 ] articles were eligible to compute the pooled estimates in the IDF, ATP III and de Ferranti diagnostic criteria, respectively.…”

Section: Resultsmentioning

confidence: 99%

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Metabolic syndrome among children and adolescents in low and middle income countries: a systematic review and meta-analysis

Bitew

Alemu

Ayele

et al. 2020

Diabetol Metab Syndr

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Background Metabolic syndrome (MetS) is a clustering of cardiovascular risk factors, which is rising in the low and middle income countries (LMICs). There are various studies with inconsistent findings that are inconclusive for policy makers and program planners. Thus, this systematic review and meta-analysis aimed at estimating the pooled prevalence of MetS and its components in LMICs. Methods Electronic searches were conducted in international databases including PubMed, Web of Science, EMBASE (Elsevier), Scopus, CINAHL (EBSCOhost), Science direct (Elsevier), Food Science and Technology Abstracts (FSTA), Global Health and Medline, and other sources (World Cat, Google Scholar, and Google). The pooled estimates were computed in the random effect model. The pooled prevalence was computed using the three diagnostic methods (IDF, ATP III and de Ferranti). Publication bias was verified using funnel plot and Egger’s regression test. Subgroup and sensitivity analysis were performed to identify the possible sources of heterogeneity among the included studies. Result In this study, 142,142 children and adolescents from 76 eligible articles were included to compute the pooled prevalence of MetS and its components in LMCIs. MeTs among overweight and obese population was computed from 20 articles with the pooled prevalence of 24.09%, 36.5%, and 56.32% in IDF, ATP III and de Ferranti criteria, respectively. Similarly, a total of 56 articles were eligible to compute the pooled prevalence of MetS in the general population of children and adolescents. Hence, Mets was found in 3.98% (IDF), 6.71% (ATP III) and 8.91% (de Ferranti) of study subjects. Regarding the components of MetS, abdominal obesity was the major component in overweight and obese population and low HDL-C was the most common component in the general population. This study also revealed that males were highly affected by MetS than females. Conclusion This study illustrates that MetS among children and adolescents is an emerging public health challenge in LMICs, where the prevalence of obesity is on the move. Preventive strategies such as community and school based intervention need to be designed. Promoting physical activities and healthy eating behaviors could avert this problem.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Metabolic syndrome among children and adolescents in low and middle income countries: a systematic review and meta-analysis

Bitew

Alemu

Ayele

et al. 2020

Diabetol Metab Syndr

View full text Add to dashboard Cite

show abstract

“…Regarding study population, 20 studies[35, 47, 50, 55, 57, 58, 63, 69, 71, 72, 77, 79, 84, 87-89, 91, 92, 95, 104] were conducted among overweight and/or obese children and adolescents, and 56 studies[33,34,[36][37][38][39][40][41][42][43][44][45][46], 48, 49, 51-54, 56, 59-62, 64-68, 70, 73-76, 78, 80-83, 85, 86, 90, 93, 94, 96-103, 105-108] were conducted among the general population of children and adolescents. This review included 142,142 study participants from 76 articles.…”

mentioning

confidence: 99%

Metabolic Syndrome Among Children and Adolescents in Low and Middle Income Countries: A Systematic Review and Meta-analysis

Bitew

Alemu

Ayele

et al. 2020

Preprint

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Background: Metabolic syndrome (MetS) is a clustering of cardiovascular risk factors, which is raising the low and middle income countries (LMICs). There are various studies with inconsistent findings, but they are inconclusive for policy makers and program planners. Thus, this systematic review and meta-analysis aimed at estimating the pooled prevalence of MetS and its components in LMICs. Methods: Electronic searches were conducted in international databases including PubMed, Web of Science, EMBASE (Elsevier), Scopus, CINAHL (EBSCOhost), Science direct (Elsevier), Food Science and Technology Abstracts (FSTA), Global Health and Medline, and other sources (World Cat, Google Scholar, and Google). The pooled estimates were computed in the random effect model. The pooled prevalence was computed using the three diagnostic methods (IDF, ATP III and de Ferranti). Publication bias was verified using funnel plot and Egger’s regression test. Subgroup and sensitivity analysis were performed to identify the possible sources of heterogeneity among the included studies. Result: In this study, 142,142 children and adolescents from 76 eligible articles were included to compute the pooled prevalence of MetS and its components in LMCIs. MeTs among the overweight and obese population was computed from 20 articles with the pooled prevalence of 24.09%, 36.5%, and 56.32% in IDF, ATP III and de Ferranti criteria, respectively. Similarly, a total of 56 articles were eligible to compute the pooled prevalence of MetS in the general population of children and adolescents. Hence, Mets was found in 3.98% (IDF), 6.71% (ATP III) and 8.91% (de Ferranti) of study subjects. Regarding the components of MetS, abdominal obesity was the major component in overweight and obese population and low HDL-C was the most common component in the general population. This study also revealed that males were highly affected by MetS than females. Conclusion: This study illustrates that MetS among children and adolescents is an emerging public health challenge in LMICs, where the prevalence of obesity is on the move. Preventive strategies such as community and school based intervention need to be designed. Promoting physical activities and healthy eating behaviors could avert this problem.

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“…This study showed a lower prevalence of MetS compared with data from Asia and Western countries which ranges from 2.4-10.1%. 16,[27][28][29][30][31][32][33][34] This inconsistency may be due to the difference in the definition used in diagnosing MetS as some of the studies applied the NCEP-ATP III 35 definition while some of them applied the IDF criteria which are similar to our study. Another possible explanation could be due to the age difference.…”

Section: Discussionmentioning

confidence: 74%

Fat-to-lean mass ratio as a new anthropometric indicator in predicting metabolic syndrome among Malay adolescents in Terengganu, Malaysia

Lim

Wee

Mohamad

et al. 2022

Proceedings of Singapore Healthcare

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Background Metabolic syndrome (MetS) is defined as a cluster of risk factors for predicting type 2 diabetes mellitus and cardiovascular disease. Objectives This cross-sectional study aimed to develop a cut-off value for fat versus lean mass ratio (FLMR) in predicting MetS and to investigate the association between this indicator with MetS and its components. Methods Subjects comprised 238 Malay adolescents (79% female) aged 18–19 years old. Anthropometric assessment comprised weight, height and waist circumference (WC). Body composition was measured using bioelectrical impedance analysis techniques while blood pressure was measured using a blood pressure monitor. Fasting blood glucose, total cholesterol , triglycerides, high-density lipoprotein cholesterol (HDL-c), and low-density lipoprotein cholesterol were determined from an overnight fasting blood sample. MetS was determined based on International Diabetes Federation (2007) definition for adolescents aged 16-year-old and above. Results The prevalence of MetS was 2.1%. Receiver Operating Characteristics curve analysis revealed that the optimal cut-off value for FLMR was 0.441 with an Area Under the Curve of 0.874 (95% CI: 0.825, 0.913); with sensitivity of 80.0% and specificity of 71.0%. FLMR cut-off of 0.441 was associated with high WC ( p < .001), low HDL-c ( p < .001) and MetS ( p < .05). Binary Logistic Regression analysis revealed that adolescents with high WC, low HDL-c and MetS had higher odds of developing increased FLMR than the cut-off value with an odds ratio (OR) of 43.4 (95% CI: 9.7,193.9), 4.7 (95% CI: 2.3,9.8) and 13.3 (95% CI: 1.5,121.2), respectively. Conclusion FLMR possesses fair discriminatory ability in identifying MetS among adolescents and significant association exists between FLMR and MetS and some of its components.

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Prevalence of metabolic syndrome and associated risk factors among tribal adolescents of Gujarat

Cited by 8 publications

References 32 publications

Metabolic syndrome among children and adolescents in low and middle income countries: a systematic review and meta-analysis

Metabolic syndrome among children and adolescents in low and middle income countries: a systematic review and meta-analysis

Metabolic Syndrome Among Children and Adolescents in Low and Middle Income Countries: A Systematic Review and Meta-analysis

Fat-to-lean mass ratio as a new anthropometric indicator in predicting metabolic syndrome among Malay adolescents in Terengganu, Malaysia

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