Subject(s)
Genetic Predisposition to Disease , Genetic Variation/genetics , Non-alcoholic Fatty Liver Disease/diagnosis , Non-alcoholic Fatty Liver Disease/epidemiology , Non-alcoholic Fatty Liver Disease/genetics , Blood Chemical Analysis , Cohort Studies , Genome-Wide Association Study , Genotype , Humans , Interviews as Topic , Linear Models , Liver/diagnostic imaging , Odds Ratio , Polymorphism, Single Nucleotide/genetics , Prevalence , Sri Lanka/epidemiology , Ultrasonography , Urban PopulationABSTRACT
BACKGROUND: Growth parameters at birth are important for clinical decision-making. In Sri Lanka, the data from the World Health Organization (WHO) Multicentre Growth Reference Study (MGRS) are used to interpret these measurements. MATERIALS AND METHODS: A descriptive cross-sectional study was conducted between September and October 2010 in hospitals of Gampaha district, Sri Lanka. The weight, length and head circumference of all normal-term babies born in the Gampaha district during this period were measured within 8 h of birth using standard techniques. Measurements were taken by medical graduates trained and supervised by a consultant paediatrician. Socio-demographic data were obtained using an interviewer-administered questionnaire. RESULTS: Of the 2215 babies recruited, 1127 were males. The mean birth weight, mean length and mean head circumference at birth were 2.92 kg, 49.1 and 33.6 cm, respectively. Boys weighed and measured more than girls in all parameters, but the differences were not statistically significant. Growth parameters of babies included in this study deviated from that in the MGRS data. Mean values of MGRS data were between 75th and 90th centiles of this study population. Birth order, family income and maternal education were significantly (P < 0.01) associated with growth parameters. Contrary to common belief, growth parameters continued to increase progressively up to 41 weeks. Maternal age less than 20 years or more than 35 years was negatively associated with birth weight (P < 0.01). CONCLUSIONS: Growth parameters of new-born babies deviated significantly from the values of the MGRS data. Growth characteristics of one population may not be applicable to another population due to variations in maternal, genetic and socio-economic factors. Using growth charts not applicable to a population will result in wrong interpretations.
ABSTRACT
To explore definitions for multisite pain, and compare associations with risk factors for different patterns of musculoskeletal pain, we analysed cross-sectional data from the Cultural and Psychosocial Influences on Disability (CUPID) study. The study sample comprised 12,410 adults aged 20-59 years from 47 occupational groups in 18 countries. A standardised questionnaire was used to collect information about pain in the past month at each of 10 anatomical sites, and about potential risk factors. Associations with pain outcomes were assessed by Poisson regression, and characterised by prevalence rate ratios (PRRs). Extensive pain, affecting 6-10 anatomical sites, was reported much more frequently than would be expected if the occurrence of pain at each site were independent (674 participants vs 41.9 expected). In comparison with pain involving only 1-3 sites, it showed much stronger associations (relative to no pain) with risk factors such as female sex (PRR 1.6 vs 1.1), older age (PRR 2.6 vs 1.1), somatising tendency (PRR 4.6 vs 1.3), and exposure to multiple physically stressing occupational activities (PRR 5.0 vs 1.4). After adjustment for number of sites with pain, these risk factors showed no additional association with a distribution of pain that was widespread according to the frequently used American College of Rheumatology criteria. Our analysis supports the classification of pain at multiple anatomical sites simply by the number of sites affected, and suggests that extensive pain differs importantly in its associations with risk factors from pain that is limited to only a small number of anatomical sites.