AIMS: (1) To investigate the association between birth weight and anthropometric measurements during adulthood; (2) to study the genetic and environmental influences on body measures including birth weight, weight and height among twins; and (3) to assess the variation in heritability versus environment among two cohorts of twins who lived in different geographical areas.
SUBJECTS AND METHODS: Twins were collected from two twin registers. Data on birth weight, adult weight and height in 430 MZ and 170 DZ twins living in two geographically distinct parts of the world were collected. A genetic analysis was performed using MX software.
RESULTS: Birth weight was associated with weight, height and BMI. Both MZ and DZ twins with low birth weight had shorter height during their adult life (p = 0.001), but only MZ twins with lower birth weight were lighter at adulthood (p = 0.001). Intra-pair differences in birth weight were not associated with differences in adult height (p = 0.366) or weight (p = 0.796). Additive genetic effects accounted for 53% of the variance in weight, 43% in height and 55% in birth weight. The remaining variance was attributed to unique environmental effects (15% for weight, 13% for height and 45% for birth weight and only 16% for BMI). Variability was found to be different in the two cohorts. The best fitting model for birth weight and BMI was additive genetic and non-shared environment and for weight and height was additive genetic, non-shared environment (plus common Environment).
CONCLUSIONS: Data suggests that the association between weight at birth and anthropometric measures in later life is influenced by both genetic and environmental factors. Living in different environments can potentially relate to variation found in the environment.
MATERIALS AND METHODS: This cross-sectional study was conducted on 124 breast cancer outpatients within the first year of diagnosis and yet to commence oncological treatment. Body composition parameters [body weight, body mass index (BMI), body fat percentage, fat mass over fat-free mass ratio (FM/FFM), muscle mass, and visceral fat] were obtained using a bioelectrical impedance analyzer. Body fat percentage was categorized into two groups which were normal (<35%) and high (≥35%). The E-DII was calculated from the validated 165-items Food Frequency Questionnaire (FFQ) and categorized into three groups or tertiles. Multiple logistic regression analysis was used to determine the association between the E-DII and body fat percentage.
RESULTS: Mean body weight, body fat percentage, FM/FFM, and visceral fat increased as E-DII increased from the lowest tertile (T1) to the most pro-inflammatory tertile (T3) (p for trend <0.05). E-DII was positively associated with body fat percentage (OR 2.952; 95% CI 1.154-7.556; p = 0.024) and remained significant after adjustment for cancer stage, age, physical activity, ethnicity, smoking history, and presence of comorbidities. Compared to T1, participants in T3 had a significantly lower consumption of fiber, vitamin A, beta-carotene, vitamin C, iron, thiamine, riboflavin, niacin, vitamin B6, folic acid, zinc, magnesium, and selenium, but a higher intake of total fat, saturated fat, and monounsaturated fatty acids.
CONCLUSIONS: A higher E-DII was associated with increased body fat percentage, suggesting the potential of advocating anti-inflammatory diet to combat obesity among newly diagnosed breast cancer patients.
METHODS: Articles were found in the Medline database using the key words "paediatrics", "urine screening", "proteinuria", "haematuria" and "population". The Asian countries which had carried out population-based urinary screening of the paediatric population included Taiwan, Japan and Korea. One study was found on urinary screening in a select population in Malaysia. Preliminary results of the urinary screening of school children in Singapore are presented and compared with the results found in the above-mentioned countries.
RESULTS: Overall, the proportion of children found to have urinary abnormalities ranged from less than 0.1% of the population screened to almost 50% of a select cohort referred from the screening programmes for the evaluation of urinary abnormalities. In the pilot Singapore school screening programme, the prevalence of clinically significant proteinuria was 1.25 per 1000 children screened. Multivariate analysis showed that low body weight was associated with a 1.8-fold greater risk for proteinuria. The major cause of haematuria and proteinuria in those studies where renal biopsies were performed was glomerulonephritis. The Taiwanese experience also showed a reduction in the incidence of end-stage renal failure diagnosed in children after the onset of urine screening.
CONCLUSION: These studies showed that urinary screening programmes in school children allow the early detection of disease. The cost-benefit ratio for specific populations should be determined before the implementation of such programmes.
METHODS: Standardised anthropometric measurements were compared against the self-reported values from 5,132 adult residents in a cross-sectional, epidemiological survey. Discrepancies in self-reports from measurements were examined by comparing overall mean differences. Intraclass correlations, Cohen's kappa and Bland-Altman plots with limits of agreement, and sub-analysis by sex and ethnicity were also explored.
RESULTS: Data were obtained from 5,132 respondents. The mean age of respondents was 43.9 years. Overall, the height was overestimated (0.2cm), while there was an underestimation of weight (0.8kg) and derived BMI (0.4kg/m2). Women had a larger discrepancy in height (0.35cm, 95% confidence interval [CI] 0.22 to 0.49), weight (-0.95kg, 95% CI -1.11 to -0.79) and BMI (-0.49kg/m2, 95% CI -0.57 to -0.41) compared with men. Height reporting bias was highest among Indians (0.28cm, 95% CI 0.12 to 0.44) compared with Chinese and Malays, while weight (-1.32kg, 95% CI -1.53 to -1.11) and derived BMI (-0.57kg/m2, 95% CI -0.67 to -0.47) showed higher degrees of underreporting among Malays compared with Chinese and Indians. Substantially high self-reported versus measured values were obtained for intraclass correlations (0.96-0.99, P<0.001) and kappa (0.74). For BMI categories, good to excellent kappa agreement was observed (0.68-0.81, P<0.0001).
CONCLUSION: Self-reported anthropometric estimates can be used, particularly in large epidemiological studies. However, sufficient care is needed when evaluating data from Indians, Malays and women as there is likely an underestimation of obesity prevalence.
METHODS: A sample of 758 adolescents aged 12-18 years were recruited from private and public schools in Tehran. Information about socio-demographic background and body change techniques were collected via a self-administered questionnaire.
RESULTS: A high percentage of adolescents used body change techniques frequently to alter their body appearance. Girls changed normal eating pattern significantly (p=0.007) to lose weight more frequently than boys while boys used this method significantly (p=0.01) to gain weight more frequently than girls. Overweight/obese adolescents exercised significantly to change muscle size (p=0.03) and changed normal diet to lose weight (p<0.001) more frequently than normal weight adolescents. The relation between sex and body weight status with body change techniques (p<0.0) implied that male and female adolescents especially overweight/obese adolescents were frequently trying to change their body appearance.
CONCLUSION: Significant differences existed in using body change techniques according to sex and body weight status and these should be considered in obesity prevention programs for adolescents.
MATERIALS AND METHOD: The Family Diet Study was conducted with urban Malay families and included a child aged 8-12 years and their main carer(s). Seven domains of parent-child feeding practices were assessed using the child feeding questionnaire and familial demographics, including socio-economic status, child anthropometry and dietary intake were collected. Inferential statistics were used to explore the relationships between variables.
RESULTS: Of the 315 families enrolled, 236 completed all measures, with the majority of parent-reporters being mothers (n = 182). One-third of the children were classified as overweight/obese. Three domains of parent-child feeding practices had median scores of 4.0 out of 5.0 [concern about child overweight (CCO) (Interquartile range (IQR): 3.3, 4.7); pressure-to-eat (PTE) (IQR: 3.3, 4.5) and food monitoring (IQR: 3.0, 5.0)]. The domain of 'perceived child overweight' was positively associated with child age (r = 0.45, p weight, particularly for those overweight. Family size, household income, and child weight status significantly influence parent-child feeding practices. Further research examining the cultural context of family environmental factors related to childhood obesity is warranted within Malaysia.