| Literature DB >> 23119047 |
Abstract
OBJECTIVES: To describe the patterns and trends in waist circumference and abdominal obesity for those aged 70-89 contrasting the standard and new age-related cut-points, and to investigate how they vary with time, age and educational level.Entities:
Mesh:
Year: 2012 PMID: 23119047 PMCID: PMC3485367 DOI: 10.1371/journal.pone.0048528
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Figure 1Prevalence of high waist circumference (WC) using new and standard cut-offs in English adults aged 70–89 years during 1993–2010.
Binomial regression parameters in the four models of prevalence (%) of abdominal obesity in English men and women aged 70–89.
| Regression parameters (95%CI) | |||
| Dependent variable | Survey year | Age group70–79 vs 80–89 yrs | Left education<16 vs ≥16 yrs |
| MEN (n = 7129) | |||
| Obesity (standard cutoff) | 1.0(0.8 to 1.2) | 6.2 (3.6 to 8.7) | 4.6 (2.0 to 7.1) |
| Obesity (new cutoff) | 1.0 (0.8 to 1.2) | 4.4 (2.1 to 6.7) | 4.4 (2.2 to 6.6) |
| WOMEN (n = 9244) | |||
| Obesity (standard cutoff) | 1.1 (0.9 to 1.3) | 4.2 (2.0 to 6.4) | 4.8 (2.6 to 7.1) |
| Obesity (new cutoff) | 1.0 (0.8 to 1.1) | 4.6 (2.9 to 6.2) | 3.3 (1.5 to 5.0) |
Standard cut-off Abdominal Obesity - WC >102 cm (men) and >88 cm (women).
New cut-off Abdominal Obesity - WC >106 cm (men) and >99 cm (women).
Figure 2Changes in distribution of waist circumference between 1993–4 and 2009–10 in English adults aged 70–89.
Quantile regression coefficients of waist circumference distribution(cm) predicted from survey year, age group and educational group.
| MEN | Percentiles | |||||||
| Variable | 15% | 50% | 85% | P-value | ||||
| Year | 0.27 (0.21 to 0.34) | 0.28 (0.22 to 0.33) | 0.41 (0.33 to 0.49) | 0.002 | ||||
| Age group | 70–79 | 1.6 (0.8 to 2.5) | 1.9 (1.1 to 2.8) | 1.6 (0.5 to 2.7) | 0.94 | |||
| Left education | <16 yr | 0.1 (–0.6 to 0.8) | 1.3 (0.6 to 1.9) | 1.9 (1.0 to 2.8) | 0.0007 | |||
| Constant | 86.0 (85.0 to 87.0) | 95.2 (94.2 to 96.2) | 106.9 (105.9 to 107.9) | |||||
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| Variable | 15% | 50% | 85% | P-value | ||||
| Year | 0.22 (0.15 to 0.29) | 0.36 (0.30 to 0.41) | 0.47 (0.40 to 0.53) | <0.0001 | ||||
| Age group | 70–79 | 1.3 (0.6 to 2.0) | 1.4 (0.7 to 2.1) | 2.1 (1.2 to 2.9) | 0.16 | |||
| Left education | <16 yr | 0.8 (0.1 to 1.6) | 1.6 (0.8 to 2.4) | 1.7 (0.7 to 2.6) | 0.13 | |||
| Constant | 74.5 (73.3 to 75.6) | 84.0 (83.0 to 85.0) | 95.2 (94.1 to 96.3) | |||||
Hypothesis of equal coefficients for a variable in the regression equations for the 15%, 50% and 85% percentiles.
Compared to age 80–89.
Compared to left education ≥16 years.
Corresponds to predicted percentile for year = 1993, age-group = 70–79 & left education ≥16 years.