| Literature DB >> 24215220 |
Xuhong Hou, Yu Liu, Huijuan Lu, Xiaojing Ma, Cheng Hu, Yuqian Bao, Weiping Jia1.
Abstract
BACKGROUND: In China, obesity is expected to increase rapidly in both urban and rural areas. However, there have been no comprehensive reports on secular trends in obesity prevalence among Chinese adults in urban Shanghai, which is the largest city in southern China.Entities:
Mesh:
Year: 2013 PMID: 24215220 PMCID: PMC3833854 DOI: 10.1186/1471-2458-13-1064
Source DB: PubMed Journal: BMC Public Health ISSN: 1471-2458 Impact factor: 3.295
Characteristics of Shanghai urban Chinese adults aged 20–74 years in 1998–2001 and 2007–2008
| | | | | | ||
|---|---|---|---|---|---|---|
| | | | | | ||
| Age (years) | 48.9 (15.1) | 50.1 (14.3) | 0.005 | 48.9 (14.1) | 49.7 (12.6) | <0.001 |
| Height (cm) | 169.3 (6.5) | 169.3 (6.4) | 0.397 | 157.5 (6.2) | 158.3 (5.8) | <0.001 |
| BMI (kg/m2) | 23.7 (3.4) | 24.2 (3.3) | <0.001 | 23.8 (3.6) | 23.7 (3.4) | 0.148 |
| Waist circumference (cm) | 82.3 (9.9) | 84.9 (9.3) | <0.001 | 76.9 (10.0) | 78.2 (9.3) | <0.001 |
| Waist-to-height ratio | 0.49 (0.1) | 0.50 (0.1) | <0.001 | 0.49 (0.1) | 0.50 (0.1) | 0.017 |
| Waist-to-hip ratio | 0.89 (0.07) | 0.89 (0.06) | 0.107 | 0.83 (0.08) | 0.84 (0.13) | 0.748 |
| SBP (mmHg) | 125.5 (18.4) | 124.5 (15.9) | 0.008 | 121.9 (19.8) | 120.4 (16.7) | 0.660 |
| DBP (mmHg) | 81.1 (10.9) | 79.4 (10.0) | 0.005 | 77.6 (10.3) | 75.8 (9.4) | <0.001 |
| TC (mmol/L) | 4.88 (1.10) | 4.55 (0.91) | <0.001 | 5.04 (1.18) | 4.72 (0.98) | <0.001 |
| TG (mmol/L) | 1.99 (1.57) | 1.91 (1.59) | <0.001 | 1.73 (1.12) | 1.55 (1.20) | <0.001 |
| HDL-C (mmol/L) | 1.26 (0.28) | 1.19 (0.29) | <0.001 | 1.34 (0.29) | 1.39 (0.31) | <0.001 |
| LDL-C (mmol/L) | 3.34 (0.98) | 2.94 (0.77) | <0.001 | 3.43 (1.07) | 2.98 (0.81) | <0.001 |
| FPG (mmol/L) | 5.29 (1.51) | 5.68 (1.76) | <0.001 | 5.25 (1.34) | 5.47 (1.34) | <0.001 |
| 2hPG (mmol/L)a | 5.43 (1.71) | 6.08 (1.63) | <0.001 | 5.56 (1.5) | 6.12(1.51) | <0.001 |
| | | | | | ||
| Family history of obesity | 241 (12.9) | 262 (17.3) | <0.001 | 350 (13.9) | 517 (19.1) | <0.001 |
| Smoking status | | | 0.376 | | | 0.003 |
| Non-smoker | 738 (39.4) | 619 (38.7) | | 2436 (96.7) | 2746 (98.2) | |
| Current smoker | 986 (52.7) | 837 (52.3) | | 75 (3) | 44 (1.6) | |
| Ex-smoker | 147 (7.9) | 143 (8.9) | | 8 (0.3) | 6 (0.2) | |
| Dinking status | | | <0.001 | | | 0.314 |
| Non-drinker | 1364 (72.7) | 1050 (65.7) | | 2479 (98.2) | 2728 (97.6) | |
| Current drinker | 506 (27) | 494 (30.9) | | 43 (1.7) | 63 (2.3) | |
| Ex-drinker | 5 (0.3) | 55 (3.4) | | 3 (0.1) | 5 (0.2) | |
| Education | | | 0.046 | | | 0.021 |
| Low | 726 (38.8) | 663 (42.4) | | 1409 (56.0) | 1421 (51.9) | |
| Medium | 685 (36.6) | 555 (35.5) | | 815 (32.4) | 932 (34.0) | |
| High | 459 (24.5) | 347 (22.2) | | 290 (11.5) | 387 (14.1) | |
| Income levels | | | <0.001 | | | <0.001 |
| Low | 332 (17.7) | 198 (13.2) | | 499 (19.8) | 393 (15.1) | |
| Medium | 1164 (62.2) | 652 (43.5) | | 1644 (65.1) | 1195 (45.9) | |
| High | 375 (20.0) | 648 (43.3) | 382 (15.1) | 1014 (39.0) | ||
Data are expressed as means (standard deviations) or as frequencies (%).
p-values (adjusted for age) for differences between means were calculated using a covariance analysis (ANCOVA, apart from the non-adjusted p-value for age), or using multivariable logistic regression analyses with variables shown as proportions.
a2 hPG was assessed in participants not known to have diabetes.
Abbreviations: BMI: body mass index; DBP: diastolic blood pressure; FPG: fasting plasma glucose; HDL-C: high density lipoprotein cholesterol; LDL-C: low density lipoprotein cholesterol; SBP: systolic blood pressure; TC: total cholesterol; TG: triglyceride; 2 hPG: 2 h post-load plasma glucose.
Standardized means of body mass index and waist circumference in 1998–2001 and 2007–2008
| Standardized | | | | | | | | |
| Overalla | 4894 | 4395 | 23.3 | 23.6 | 0.2 | 77.7 | 79.9 | 1.4 |
| Menb | 2081 | 1599 | 23.5 | 24.1 | 0.5 | 81.1 | 83.9 | 2.6 |
| Womenb | 2813 | 2796 | 23.0 | 23.1 | −0.1 | 74.1 | 75.7 | 1.3 |
| p values for differencec | | | 0.257 | p < 0.001 | | p < 0.001 | p < 0.001 | |
| Sex- and age-specific | | | | | | | | |
| Men | | | | | | | | |
| 20-29 years | 225 | 199 | 23.3 (4.2) | 23.3 (3.8) | 0 | 78.3 (11.1) | 80.2 (10.7) | 1.9 |
| 30-39 years | 406 | 235 | 23.2 (3.3) | 24.3 (3.5) | 1.1 | 80.4 (9.3) | 83.5 (8.9) | 3.1 |
| 40-49 years | 522 | 282 | 23.3 (3.1) | 24.7 (3.1) | 1.4 | 81.7 (9.4) | 86.6 (8.7) | 4.9 |
| 50-59 years | 284 | 457 | 24.1 (3.1) | 24.4 (3.2) | 0.3 | 83.9 (9.5) | 85.8 (8.8) | 1.9 |
| 60-74 years | 644 | 426 | 24.2 (3.2) | 24.2 (3.0) | 0 | 84.8 (9.5) | 85.8 (9.0) | 1 |
| p values for linear trendd | | | p < 0.001 | 0.058 | | p < 0.001 | p < 0.001 | |
| Women | | | | | | | | |
| 20-29 years | 225 | 249 | 21.2 (3.0) | 21.6 (3.1) | 0.4 | 67.6 (7.7) | 70.8 (7.8) | 3.2 |
| 30-39 years | 561 | 427 | 22.8 (3.4) | 22.8 (3.3) | 0 | 73.0 (8.4) | 73.8 (8.3) | 0.8 |
| 40-49 years | 841 | 590 | 23.5 (3.2) | 23.8 (3.2) | 0.3 | 75.5 (8.3) | 78.2 (8.5) | 2.7 |
| 50-59 years | 385 | 968 | 24.5 (3.5) | 24.1(3.4) | −0.4 | 79.0 (9.2) | 79.8 (8.7) | 0.8 |
| 60-74 years | 801 | 562 | 25.2 (3.7) | 24.5 (3.5) | −0.7 | 82.8 (9.9) | 82.0 (9.0) | −0.8 |
| p values for linear trendd | p < 0.001 | p < 0.001 | p < 0.001 | p < 0.001 | ||||
Data are expressed as the means (with standard deviations).
Means were standardized by the direct method according to the Chinese population structure in 2000.
aAdjusted for age and sex.
bAdjusted for age.
cDifferences in means were tested using an age-adjusted covariance analysis.
dLinear trends for age-specific means were tested using linear regression analyses; age group was treated as a continuous variable.
eThe differences are calculated as the mean for the 2007–2008 survey minus the mean for the 1998–2001 survey.
Abbreviations: BMI: body mass index.
Figure 1Smoothed frequency distribution of body mass index and waist circumference for men and women from the two surveys. The population percentage, on the y-axis, is plotted against BMI (Figure 1. A-B) or WC (Figure 1. C-D), on the x-axis. Curve fitting and loess smoothing were performed using Matalab2007a. The median figures are presented. The differences between the two surveys were tested with the Mann–Whitney U-test.
Figure 2Standardized prevalence of overweight, obesity and central obesity in urban Shanghai adults aged 20–74 years in the 1998–2001 and 2007–2008 surveys. Standardized prevalence was calculated by the direct method according to the Chinese population structure in 2000 (Figure 2. A-C for all participants, Figure 2. D-F for men and Figure 2. G-I for women). Differences in standardized proportions (prevalence) between the two time periods were tested using multivariable logistic regression analyses in men or women (adjusted for age), and among total participants (adjusted for sex and age) using the Entry method. Adjusted odds ratios (AORs) and p values were then calculated. Standardized combined prevalence of overweight and obesity and prevalence of central obesity and their 95% CIs in urban Shanghai adults aged 20–74 years in the 1998–2001 and 2007–2008 surveys.