Warning: mkdir(): Permission denied in /home/virtual/lib/view_data.php on line 81

Warning: fopen(upload/ip_log/ip_log_2024-05.txt): failed to open stream: No such file or directory in /home/virtual/lib/view_data.php on line 83

Warning: fwrite() expects parameter 1 to be resource, boolean given in /home/virtual/lib/view_data.php on line 84
Health Behavior and Nutrient Intake in Metabolically Abnormal Overweight and Metabolically Abnormal Obesity

Korean J Health Promot > Volume 17(3); 2017 > Article
Health Behavior and Nutrient Intake in Metabolically Abnormal Overweight and Metabolically Abnormal Obesity

요약

Background:

The purpose of this study was to investigate the differences in health behaviors and dietary habits between the metabolically healthy group and the metabolically abnormal group in overweight and obese subjects based on the data of National Health and Nutrition Survey (NHANES).

Methods:

Using the NHANES data (2007-2010), a total of 18,188 subjects were grouped into the metabolically healthy group and the abnormal group using the National Cholesterol Education Program Adult Treatment Panel III (NCEP ATP III) definition. Then we compared their health behaviors, dietary behaviors and nutrient intakes after adjustment for variables in overweight and obese groups.

Results:

The proportion of metabolic abnormalities tended to increase with increasing age in both overweight and obesity groups.(P for trend <0.001) After adjusting various confounding variables, the odds ratio (95% confidence interval) of skipping any meal and breakfast for metabolically abnormality were 1.318 (1.066-1.631) and 1.354 (1.076-1.705) in male obese group and those of skipping breakfast and carbonated drink intake were 1.578 (1.168-2.133) and 1.540 (1.188-2.492) in female obese group. Daily potassium intake (P=0.032) and daily vitamin C intake (P=0.048) in the male overweight group and daily water intake (P=0.046) and daily carbohydrate intake (P=0.038) in the female overweight group were associated with metabolically abnormality.

Conclusions:

There were differences in health behaviors and nutrient intake according to metabolically abnormality in overweight and obese groups.

Figure 1.
(A) Prevalence of MAOW or MAO according to age groups in men. (B) Prevalence of MAOW or MAO according to age groups in women.
kjhp-17-137f1.jpg
Table 1.
Baseline characteristics of the study subjects
  Total (unweighted n=18,188) Men (unweighted n=7,351) Women (unweighted n=10,837) Pa
Age, y 43.71 (0.21) 42.91 (0.26) 44.52 (0.22) <0.0001
Monthly household income, housand won 3,457 (103.30) 3,520 (118.20) 3,393 (102.74) 0.183
Education duration, %       <0.0001
<6, y 17.67 (0.48) 11.77 (0.48) 23.68 (0.61)  
6-8, y 10.23 (0.30) 10.23 (0.42) 10.23 (0.36)  
9-11, y 40.02 (0.58) 42.07 (0.80) 37.93 (0.65)  
≥12, y 32.09 (0.66) 35.94 (0.84) 28.16 (0.67)  
Daily calorie intake, kcal/day 2,004.26 (10.12) 2,352.58 (14.59) 1,649.01 (8.92) <0.0001
Sleep duration, hours 7.54 (0.30) 7.46 (0.25) 7.62 (0.35) <0.0001
Waist circumference, mean, cm 81.10 (0.12) 84.18 (0.15) 77.96 (0.16) <0.0001
BMI, kg/m2 23.64 (0.03) 24.11 (0.05) 23.17 (0.05) <0.0001
SBP, mmHg 116.90 (0.22) 119.95 (0.26) 113.89 (0.25) <0.0001
DBP, mmHg 76.82 (0.15) 79.85 (0.19) 73.73 (0.16) <0.0001
Glucose, mg/dL 96.29 (0.22) 97.90 (0.32) 94.65 (0.25) <0.0001
Total cholesterol, mg/dL 186.81 (0.38) 187.08 (0.55) 186.53 (0.45) 0.377
HDL cholesterol, mg/dL 52.97 (0.23) 49.93 (0.34) 56.10 (0.27) <0.0001
TG, mg/dL 133.55 (1.04) 156.27 (1.79) 110.38 (0.94) <0.0001
Current smoker, % 41.47 (0.46) 71.03 (0.65) 11.33 (0.46) <0.0001
Heavy drinker, % 17.88 (0.44) 25.92 (0.66) 7.26 (0.42) <0.0001
Low physical activity, % 44.51 (0.53) 42.04 (0.74) 47.03 (0.65) <0.0001
HTN medication, % 12.35 (0.31) 11.52 (0.42) 13.19 (0.41) 0.003
Dyslipidemia medication, % 2.83 (0.14) 2.36 (0.19) 3.32 (0.20) 0.001
DM medication, % 4.54 (0.17) 4.73 (0.26) 4.33 (0.23) 0.250
MetS, % 24.31 (0.44) 29.84 (0.67) 18.68 (0.46) <0.0001

Abbreviations: BMI, body mass index; SBP, systolic blood pressure; DBP, diastolic blodd pressure; HDL, high density lipoprotein; TG, triglyceride; HTN, hypertension; DM, diabetes mellitus; MetS, metabolic syndrome. Values are expressed as means (standard deviation) or % (standard deviation).

a P value from a t-test for continuous outcomes and χ

2 test for binary outcomes comparing a difference.

Table 2.
Odds ratio for metabolically abnormality of each behavior in male overweight or obesity
  Overweight (23≤ BMI <25, kg/m2) Obesity (BMI ≥ 25, kg/m2)
  Model 1 Model 2 Model 1 Model 2
Short sleep duration (<5 h) 0.744 (0.494-1.120) 0.778 (0.509-1.187) 0.996 (0.692-1.434) 0.999 (0.688-1.450)
Skip any meal (0-2 day) 1.084 (0.782-1.504) 1.087 (0.775-1.524) 1.322 (1.070-1.634) 1.318 (1.066-1.631)
Skip breakfast (0-2 day) 1.165 (0.814-1.668) 1.163 (0.807-1.676) 1.347 (1.071-1.694) 1.354 (1.076-1.705)
Skip lunch (0-2 day) 0.627 (0.347-1.133) 0.614 (0.336-1.123) 1.049 (0.721-1.525) 1.025 (0.703-1.496)
Skip dinner (0-2 day) 1.089 (0.573-2.072) 1.113 (0.574-2.156) 0.985 (0.643-1.509) 0.938 (0.610-1.441)
Eating out (≥1 times/week) High frequency of eating out (≥1 times/day) 0.970 (0.695-1.354) 1.151 (0.863-1.536) 0.938 (0.662-1.329) 1.135 (0.845-1.525) 0.860 (0.641-1.153) 1.012 (0.824-1.242) 0.852 (0.626-1.161) 1.001 (0.812-1.234)
High frequency of ramen intake (≥2 times /week) 1.137 (0.805-1.605) 1.168 (0.826-1.652) 0.922 (0.722-1.178) 0.906 (0.704-1.166)
High frequency of processed meat intake (≥2 times /week) 0.820 (0.461-1.458) 0.853 (0.480-1.516) 1.151 (0.797-1.663) 1.140 (0.791-1.641)
High frequency of carbonated drink intake (≥2 times /week) 1.079 (0.703-1.656) 1.079 (0.702-1.658) 1.140 (0.880-1.477) 1.147 (0.880-1.494)
Current smoker 1.579 (1.025-2.432) 1.575 (1.015-2.444) 1.529 (1.167-2.004) 1.557 (1.183-2.049)
Heavy drinker 1.646 (1.223-2.217) 1.708 (1.256-2.323) 1.566 (1.250-1.962) 1.557 (1.241-1.952)
Low physical activity 1.263 (0.959-1.663) 1.294 (0.979-1.712) 1.312 (1.074-1.602) 1.356 (1.107-1.660)

Abbreviation: BMI, body mass index. Odds ratios and 95% confidence intervals were calculated using weighted multivariate logistic regression analyses, compared with metabolically healthy groups. Model 1: adjusted for age, Model 2: adjusted for age, daily calorie intake, monthly household income, education level, hypertension, dyslipidemia and diabetes.

Table 3.
Odds ratio for metabolically abnormality of each behavior in female overweight or obesity
  Overweight (23≤ BMI <25, kg/m2) Obesity (BM I ≥ 25, kg/m2)
  Model 1 Model 2 Model 1 Model 2
Short sleep duration (<5 h) 1.386 (0.500-3.840) 1.685 (0.663-4.285) 1.145 (0.712-1.842) 1.047 (0.637-1.719)
Skip any meal (0-2 day) 1.079 (0.723-1.611) 1.049 (0.692-1.591) 1.195 (0.942-1.516) 1.249 (0.969-1.611)
Skip breakfast (0-2 day) 0.898 (0.555-1.452) 0.753 (0.446-1.270) 1.514 (1.124-2.039) 1.578 (1.168-2.133)
Skip lunch (0-2 day) 1.268 (0.676-2.379) 1.538 (0.838-2.823) 0.843 (0.559-1.270) 0.878 (0.573-1.344)
Skip dinner (0-2 day) 1.004 (0.577-1.748) 0.980 (0.558-1.722) 1.002 (0.671-1.497) 0.996 (0.662-1.500)
Eating out (≥1 times/week) 0.902 (0.624-1.304) 1.064 (0.719-1.574) 0.729 (0.580-0.916) 0.762 (0.601-0.964)
High frequency of eating out (≥1 times/day) 1.590 (0.849-2.979) 1.408 (0.748-2.649) 1.013 (0.673-1.525) 1.007 (0.663-1.530)
High frequency of ramen intake (≥2 times /week) 1.617 (0.806-3.243) 1.732 (0.869-3.451) 1.243 (0.859-1.798) 1.259 (0.869-1.823)
High frequency of proced meat intake (≥2 times /week) 0.144 (0.020-1.022) 0.168 (0.024-1.175) 1.092 (0.654-1.823) 1.040 (0.618-1.751)
High frequency of carbonated drink intake (≥2 times /week) 0.295 (0.097-0.901) 0.292 (0.096-0.891) 1.603 (1.061-2.422) 1.540 (1.029-2.305)
Current smoker 1.703 (1.003-2.891) 1.412 (0.823-2.423) 1.916 (1.336-2.748) 1.721 (1.188-2.492)
Heavy drinker 1.951 (0.972-3.914) 1.618 (0.775-3.380) 1.507 (0.961-2.361) 1.392 (0.899-2.154)
Low physical activity 1.102 (0.762-1.595) 1.080 (0.741-1.573) 1.059 (0.827-1.356) 1.048 (0.812-1.352)

Abbreviation: BMI, body mass index. Odds ratios and 95% confidence intervals were calculated using weighted multivariate logistic regression analyses, compared with metabolically healthy groups. Model 1: adjusted for age, Model 2: adjusted for age, daily calorie intake, household income, education level, hypertension, dyslipidemia and diabetes.

Table 4.
Difference of nutrient intake amount between metabolically health group and metabolically abnormal group in overweight or obesity
    Men     Women  
  Overweight Obesity Overweight Obesity
  (23≤ BMI <25, kg/m2) (BMI ≥ 25, kg/m2) (23≤ BMI <25, kg/m2) (BMI ≥ 25, kg/m2)
Daily intake Unadjusted Adjust Unadjusted Adjust Unadjusted Adjust Unadjusted Adjust
Water, g -109.20 (42.13)b b -50.27 (35.23) -50.39 (39.65) -16.66 (25.87) -205.50 (29.85)c -52.166 (26.03)a -65.86 (25.22)b -14.30 (19.79)
Protein, g -4.08 (2.22) 1.55 (1.53) -4.59 (2.31)a -1.04 (0.81) -8.32 (1.59)c 0.03 (0.93) -2.60 (1.30)a -0.32 (0.76)
Fat, g -5.91 (1.88)a 1.64 (1.34) -4.98 (1.92)a -1.20 (1.14) -8.36 (1.43)c 1.89 (1.13) -3.74 (1.12)b -0.04 (0.79)
Carbohydrate, g -3.94 (7.03) -4.94 (5.37) -3.21 (5.72) -5.08 (4.07) -10.58 (6.20) -7.05 (3.39)a 3.73 (4.96) -3.92 (2.76)
Calcium, mg -38.45 (19.73) -36.19 (19.23) -10.39 (17.90) -11.09 (15.10) -51.82 (19.05)b -4.42 (19.58) 2.10 (16.51) -0.99 (12.81)
Phosphorous, mg g -53.70 (29.24) -23.08 (19.82) -40.59 (29.92) -29.21 (17.48) -112.10 (25.31)c -23.96 (15.38) -28.30 (19.67) -13.04 (10.97)
Iron, mg 0.26 (0.63) 0.29 (0.65) 0.12 (0.61) -0.04 (0.54) 0.30 (0.92) 0.41 (0.93) -0.27 (0.41) -0.66 (0.38)
Sodium, mg -145.54 (185.79) -21.80 (175.48) -101.01 (171.31) -62.81 (143.30) -463.20 (174.20) a 9.83 (172.42) -139.53 (116.75) -13.14 (99.87)
Potassium, mg -191.98 (82.73)a -154.39 (71.90)a -68.92 (76.67) -82.32 (52.85) -341.18 (80.42)c -120.30 (64.76) -124.26 (66.71) -95.44 (50.12)
Vitamin A, μgRE E -109.43 (57.14) -67.75 (55.53) -36.22 (51.87) -33.88 (43.75) -147.95 (39.62)b -25.23 (41.12) -47.66 (47.09) -30.55 (51.46)
Carotene, μg -452.17 (318.97) -324.62 (318.08) -32.03 (256.89) -90.72 (211.25) -804.60 (216.63) b -257.43 (236.97) -375.19 (234.42) -420.50 (261.60)
Retinol, μg 43.46 (82.12) 75.50 (89.54) -12.78 (19.46) 2.89 (17.61) -14.18 (13.86) 11.09 (7.87) 13.22 (21.20) 35.44 (26.28)
Thiamine, mg -0.16 (0.04)b -0.07 (0.04) -0.02 (0.05) 0.03 (0.03) -0.18 (0.03)c -0.04 (0.26) -0.04 (0.03) -0.01 (0.02)
Riboflavin, mg -0.11 (0.05)a -0.02 (0.05) -0.07 (0.04) -0.02 (0.03) -0.20 (0.03)c 0.01 (0.02) -0.09 (0.03)a -0.03 (0.02)
Niacin, mg -0.93 (0.54) 0.06 (0.45) -0.73 (0.56) -0.23 (0.34) -2.14 (0.43)c -0.31 (0.31) -0.83 (0.32)a -0.32 (0.20)
Vitamin C, mg -9.59 (5.15) -10.01 (4.81)a -6.44 (4.38) -6.77 (4.10) -21.42 (4.85)c -8.77 (5.12) -9.57 (3.90)a -6.03 (3.98)

Abbreviation: BMI, body mass index. Values are presented as number (standard deviation). Adjusted for age, daily calorie intake, household income, education level, education level, hypertension, dyslipidemia and diabetes. P value from using weighted regression analyses.

a P<0.05.

b P<0.001.

c P<0.0001.

REFERENCES

1.. Reaven GM. Do high carbohydrate diets prevent the development or attenuate the manifestations (or both) of syndrome X? A viewpoint strongly against. Curr Opin Lipidol 1997;8(2):23-7.
crossref pmid
2.. Brochu M, Tchernof A, Dionne IJ, Sites CK, Eltabbakh GH, Sims EA, et al. What are the physical characteristics associated with a normal metabolic profile despite a high level of obesity in postmenopausal women? J Clin Endocrinol Metab 2001;86(3):1020-5.
crossref pmid
3.. Sims EA. Are there persons who are obese, but metabolically healthy? Metabolism 2001;50(12):1499-504.
crossref pmid
4.. Marchesini G, Melchionda N, Apolone G, Cuzzolaro M, Mannucci E, Corica F, et al. The metabolic syndrome in treatment-seeking obese persons. Metabolism 2004;53(4):435-40.
crossref pmid
5.. Iacobellis G, Ribaudo MC, Zappaterreno A, Iannucci CV, Leonetti F. Prevalence of uncomplicated obesity in an Italian obese population. Obes Res 2005;13(6):1116-22.
crossref pmid
6.. Karelis AD, Brochu M, Rabasa-Lhoret R. Can we identify metabolically healthy but obese individuals (MHO)? Diabetes Metab 2004;30(6):569-72.
crossref pmid
7.. Karelis AD, St-Pierre DH, Conus F, Rabasa-Lhoret R, Poehlman ET. Metabolic and body composition factors in subgroups of obesity: what do we know? J Clin Endocrinol Metab 2004;89(6):2569-75.
crossref pmid pdf
8.. St-Pierre AC, Cantin B, Mauriege P, Bergeron J, Dagenais GR, Despres JP, et al. Insulin resistance syndrome, body mass index and the risk of ischemic heart disease. CMAJ 2005;172(10):1301-5.
crossref pmid pmc
9.. Hamer M, Stamatakis E. Metabolically healthy obesity and risk of all-cause and cardiovascular disease mortality. J Clin Endocrinol Metab 2012;97(7):2482-8.
crossref pmid pmc
10.. Soriguer F, Gutiérrez-Repiso C, Rubio-Martín E, García-Fuentes E, Almaraz MC, Colomo N, et al. Metabolically healthy but obese, a matter of time? Findings from the prospective Pizarra study. J Clin Endocrinol Metab 2013;98(6):2318-25.
crossref pmid
11.. Lee K. Metabolically obese but normal weight (MONW) and metabolically healthy but obese (MHO) phenotypes in Koreans: characteristics and health behaviors. Asia Pac J Clin Nutr 2009;18(2):280-4.
pmid
12.. Kramer CK, Zinman B, Retnakaran R. Are metabolically healthy overweight and obesity benign conditions? A systematic review and meta-analysis. Ann Intern Med 2013;159(11):758-69.
crossref pmid
13.. National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III). Third report of the National Cholesterol Education Program (NCEP) expert panel on detection, evaluation, and treatment of high blood cholesterol in adults (Adult Treatment Panel III) final report. Circulation 2002;106(25):3143-421.
crossref pmid
14.. Geetha L, Deepa M, Anjana RM, Mohan V. Prevalence and clinical profile of metabolic obesity and phenotypic obesity in Asian Indians. J Diabetes Sci Technol 2011;5(2):439-46.
crossref pmid pmc pdf
15.. Chung HK, Kang JH, Shin MJ. Assessment for nutrient Intakes in Korean women according to obesity and metabolic syndrome. Korean J Community Nutr 2010;15(5):694-703.
16.. Oh SW, Im JW, Lee JW, Kim KW, Choi JK, Park MS, et al. What are the characteristics of obese adults without metabolic complications? J Korean Acad Fam Med 2006;27(9):733-40.
17.. No JK. Evaluation of exercise and dietary intake in the Korean elder according to the classification of obesity and metabolic syndrome. Korean J Obes 2012;21(4):236-44.
crossref
18.. Iacobellis G. True uncomplicated obesity is not related to increased left ventricular mass and systolic dysfunction. J Am Coll Cardiol 2004;44(1):): 2257;author reply 2258..
crossref pmc
19.. Smith KJ, Gall SL, McNaughton SA, Blizzard L, Dwyer T, Venn AJ. Skipping breakfast: longitudinal associations with car-diometabolic risk factors in the Childhood Determinants of Adult Health Study. Am J Clin Nutr 2010;92(6):1316-25.
crossref pmid
20.. Sakata K, Matumura Y, Yoshimura N, Tamaki J, Hashimoto T, Oguri S, et al. Relationship between skipping breakfast and cardiovascular disease risk factors in the national nutrition survey data. Nihon koshu eisei zasshi 2001;48(10):837-41.
pmid
21.. Farshchi HR, Taylor MA, Macdonald IA. Deleterious effects of omitting breakfast on insulin sensitivity and fasting lipid profiles in healthy lean women. Am J Clin Nutr 2005;81(2):388-96.
pmid
22.. Kim YJ, Lee JG, Yi YH, Lee SY, Jung DW, Park SK, et al. The influence of breakfast size to metabolic risk factors. J Life Sci 2010;20(12):1812-9.
crossref
23.. Oh EJ, Joh HK, Ran Lee, Do HJ, Oh SW, Lym YL, et al. Relations between the dietary habits and components of the metabolic syndrome in premenopausal women. J Korean Acad Fam Med 2008;29(10):746-61.
24.. Dhingra R, Sullivan L, Jacques PF, Wang TJ, Fox CS, Meigs JB, et al. Soft drink consumption and risk of developing car-diometabolic risk factors and the metabolic syndrome in middle-aged adults in the community. Circulation 2007;116(5):480-8.
crossref pmid
25.. Vartanian LR, Schwartz MB, Brownell KD. Effects of soft drink consumption on nutrition and health: a systematic review and meta-analysis. Am J Public Health 2007;97(4):667-75.
crossref pmid pmc
26.. Malik VS, Popkin BM, Bray GA, Després JP, Willett WC, Hu FB. Sugar-sweetened beverages and risk of metabolic syndrome and type 2 diabetes: a meta-analysis. Diabetes Care 2010;33(11):2477-83.
pmid pmc
27.. Hu T, Mills KT, Yao L, Demanelis K, Eloustaz M, Yancy WS Jr, et al. Effects of low-carbohydrate diets versus low-fat diets on metabolic risk factors: a meta-analysis of randomized controlled clinical trials. Am J Epidemiol 2012;176(Suppl 7):S44-54.
crossref pmid pmc
28.. Mellen PB, Walsh TF, Herrington DM. Whole grain intake and cardiovascular disease: a meta-analysis. Nutr Metab Cardiovasc Dis 2008;18(4):283-90.
crossref pmid
29.. Roberts CK, Sindhu KK. Oxidative stress and metabolic syndrome. Life Sci 2009;84(21-22):705-12.
crossref pmid
30.. Zimmermann MB, Aeberli I. Dietary determinants of subclinical inflammation, dyslipidemia and components of the metabolic syndrome in overweight children: a review. Int J Obes (Lond) 2008;32(Suppl 6):S11-8.
crossref pdf
TOOLS
METRICS Graph View
  • 1 Crossref
  •  0 Scopus
  • 68 View
  • 0 Download
Related articles


Editorial Office
Department of Family Medicine, Asan Medical Center, 88, Olympic-ro 43-gil, Songpa-gu, Seoul 05505, Korea
Tel: +82-2-3010-3820   Fax: +82-2-3010-3815   E-mail: kshpdp@amc.seoul.kr                

Copyright © 2024 by Korean Society For Health Promotion And Disease Prevention.

Developed in M2PI