Attributes of metabolic syndrome in geriatric institutional residents in Secunderabad, India

Rural-urban and gender differences in metabolic syndrome in the aging population from southern India: Two parallel, prospective cohort studies

“…A study 29 among urban-dwelling elderly participants aged 60 years and above ( n = 295) from central India revealed a prevalence of 34.58%. Another small study 44 conducted among 106 elderly residents (≥ 60 years) from central India reported a prevalence of 40% in the seventh and eighth decade and slightly higher (46%) prevalence in elderly ≥ 80 years of age. Both the above studies 29 , 44 reported a higher prevalence in women than men.…”

Association Between Anthropometric Risk Factors and Metabolic Syndrome Among Adults in India: A Systematic Review and Meta-Analysis of Observational Studies

“…Half of the included studies (13 of 26) were conducted in the southern states of Tamil Nadu, Kerala, Andhra Pradesh, and Telangana ( 18 , 22 – 24 , 28 , 29 , 31 , 34 , 36 – 40 ). Nineteen were community-based studies ( 16 , 17 , 19 , 21 – 26 , 28 – 34 , 36 , 38 , 41 ), 6 were facility-based ( 18 , 20 , 27 , 35 , 37 , 40 ), and 1 ( 39 ) was a workplace-based study. The sample sizes of the included studies ranged from 112 to 9,886 participants.…”

“…The average age of study participants ranged from 19.6 to 69.5 years. Most studies (17 of 26) used NCEP ATP-III criteria to diagnose metabolic syndrome ( 16 , 18 , 21 – 24 , 26 , 27 , 30 – 32 , 34 , 35 , 37 – 39 , 41 ). Twenty-one ( 17 – 23 , 25 – 28 , 30 – 35 , 37 , 38 , 40 , 41 ) reported an association between metabolic syndrome and obesity, and 15 ( 16 – 19 , 24 , 27 – 29 , 31 , 32 , 35 – 37 , 39 , 40 ) found the syndrome to be associated with overweight ( Table 2 ).…”

“…Under the selection bias domain, most studies (17 of 26) had high bias risk related to representativeness of the sample ( 17 , 18 , 20 – 22 , 25 , 26 , 29 , 31 – 37 , 39 , 40 ), about 15 had high bias risk related to sample size justification ( 18 , 20 , 21 , 26 , 28 , 29 , 33 – 41 ), and 16 had high bias risk related to nonresponse ( 16 – 22 , 25 , 28 , 31 , 33 , 34 , 38 – 41 ). However, none of the studies had high risk related to ascertainment of exposure.…”