Food Intake Does Not Differ between Obese Women Who Are Metabolically Healthy or Abnormal

Variations in levels of some adipokines, myokines, osteokines, hepatokines and inflammatory cytokines contribute to abnormal glucose and lipid metabolism. The aim of this study was to determine the pattern of adiponectin, osteocalcin (OCN), irisin, FGF-21, and MCP-1 according to the body size phenotype of middle-aged women, and their associations with BMI, visceral adipose tissue (VAT), and HOMA-IR. A cross-sectional study in 265 women aged from 40 to 65 years was performed. The biochemical characteristics were evaluated in metabolically healthy normal weight, metabolically unhealthy normal weight, metabolically healthy obese, and metabolically unhealthy obese women. There was an association of OCN with BMI (r = −0.107; p = 0.047); adiponectin with BMI (r = −0.217; p = 0.001), insulin (r = −0.415; p = 0.0001), HOMA-IR (r = −0.429; p = 0.0001), and VAT (r = −0.134; p = 0.025); irisin with BMI (r = 0.604; p = 0.001), insulin (r = 0.446; p = 0.0001), HOMA-IR (r = 0.452; p = 0.0001), and VAT (r = 0.645; p = 0.0001); FGF−21 with insulin (r = −0.337; p= 0.030) and HOMA-IR (r = −0.341; p = 0.03); and MCP-1 with BMI (r = 0.481; p = 0.0001), VAT (r = 0.497; p = 0.001), insulin (r = 0.298; p= 0.001), and HOMA-IR (r = 0.255; p = 0.004). A multivariate analysis showed that an elevation of OCN (OR 1.4 (95%CI 1.06–1.81)) and a reduction of adiponectin (OR 0.9 (0.84–0.96)) were associated factors for a metabolic unhealthy phenotype in normal weight participants. Likewise, higher irisin (OR 1.007 (1.003–1.011)) and MCP-1 (1.044 (1.008–1.083)) were risk factors for a metabolic unhealthy phenotype in woman with obesity. OCN, adiponectin, irisin, FGF-21, and MCP-1 are associated with some metabolic parameters such as BMI, HOMA-IR, and VAT, and could be possible biomarkers of an unhealthy metabolic phenotype in middle-aged women.

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Reply to the letter to the editor: Lifestyle interventions on weight loss among metabolically healthy obese women

Clinical Nutrition ◽

10.1016/j.clnu.2020.07.017 ◽

2020 ◽

Vol 39 (9) ◽

pp. 2933-2934

Author(s):

M. Palau-Rodríguez ◽

M. Garcia-Aloy ◽

M. Rosa Bernal-Lopez ◽

R. Gómez-Huelgas ◽

F.J. Tinahones ◽

...

Keyword(s):

Weight Loss ◽

Lifestyle Interventions ◽

Obese Women ◽

Metabolically Healthy Obese ◽

Letter To The Editor ◽

Healthy Obese ◽

Metabolically Healthy

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Metabolically Healthy Obesity Is Not Associated with Food Intake in White or Black Men

Journal of Nutrition ◽

10.3945/jn.115.221283 ◽

2015 ◽

Vol 145 (11) ◽

pp. 2551-2561 ◽

Cited By ~ 16

Author(s):

Ruth W Kimokoti ◽

Suzanne E Judd ◽

James M Shikany ◽

PK Newby

Keyword(s):

Food Intake ◽

Black Men ◽

Metabolically Healthy Obesity ◽

Metabolically Healthy

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Association of Dietary Total Antioxidant Capacity and MC4R Polymorphisms in Metabolically Healthy and Unhealthy Overweight/Obese Women

10.21203/rs.3.rs-456887/v1 ◽

2021 ◽

Author(s):

maryam elhamkia ◽

Leila Setayesh ◽

Habib Yarizadeh ◽

Sara Pooyan ◽

Zahra Veysi ◽

...

Keyword(s):

Antioxidant Capacity ◽

Total Antioxidant Capacity ◽

Metabolic Health ◽

Trolox Equivalent Antioxidant Capacity ◽

Obese Women ◽

Cross Sectional ◽

Reducing Ability ◽

Total Antioxidant ◽

Metabolically Healthy ◽

Dietary Total Antioxidant Capacity

Abstract Background: 3-15% of people with obesity display a metabolically healthy phenotype. An inflammatory diet impairs metabolic signaling pathways and eliciting metabolic syndrome. The main purpose of this study was to investigate how the Dietary Total Antioxidant Capacity (DTAC) and the MC4R variants affect the metabolic health status in overweight and obese Iranian women.Methods and results: This cross-sectional study was conducted on 237 overweight-obese Tehrani women with mean age of 36 years.The DTAC was calculated using the following indices: total reactive antioxidant potential (TRAP), Trolox equivalent antioxidant capacity (TEAC), and the ferric-reducing ability of plasma (FRAP). The Metabolic health was evaluated using the Karelis criteria. The MC4R genotypes were determined by the restriction fragment length polymorphism (PCR-RFLP) method. Approximately 43% of participants were identified as Metabolically Unhealthy Obesity (MUO), 6% Metabolically Healthy Obesity (MHO) including 42.5% of the total had T/T genotype ,23.8% had the C/T genotype, and 33.5% had the C/C genotype (P=0.05). In the C/C genotype people 75% were unhealthy whereas it was lower in T/T and T/C genotype people. Further, The C/C genotype with higher DTAC quartile had higher Karlis score than other DTAC quartile. A liner model test supported that the probability of MHO was significantly higher in subjects with the T/C genotype (β=-0.001, 95% CI= -0.001-4.796; P ≤ 0.1). Conclusions: Our results indicated that the C/C genotype with higher DTAC had favorable lipid profile and were metabolically healthier. It is plausible that dietary modification targeting antioxidant intake may attenuate metabolic impairments associated with genetic predisposition.

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Impact in Plasma Metabolome as Effect of Lifestyle Intervention for Weight-Loss Reveals Metabolic Benefits in Metabolically Healthy Obese Women

Journal of Proteome Research ◽

10.1021/acs.jproteome.8b00042 ◽

2018 ◽

Vol 17 (8) ◽

pp. 2600-2610 ◽

Cited By ~ 6

Author(s):

Enrique Almanza-Aguilera ◽

Carl Brunius ◽

M. Rosa Bernal-Lopez ◽

Mar Garcia-Aloy ◽

Francisco Madrid-Gambin ◽

...

Keyword(s):

Weight Loss ◽

Lifestyle Intervention ◽

Obese Women ◽

Metabolically Healthy Obese ◽

Plasma Metabolome ◽

Healthy Obese ◽

Metabolically Healthy

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Acute and second-meal effects of peanuts on glycaemic response and appetite in obese women with high type 2 diabetes risk: a randomised cross-over clinical trial

British Journal Of Nutrition ◽

10.1017/s0007114512004217 ◽

2012 ◽

Vol 109 (11) ◽

pp. 2015-2023 ◽

Cited By ~ 24

Author(s):

Caio E. G. Reis ◽

Daniela N. Ribeiro ◽

Neuza M. B. Costa ◽

Josefina Bressan ◽

Rita C. G. Alfenas ◽

...

Keyword(s):

Type 2 Diabetes ◽

Clinical Trial ◽

Food Intake ◽

Peptide Yy ◽

Peanut Butter ◽

Hormone Secretion ◽

Obese Women ◽

Satiety Hormone ◽

Desire To Eat

Nut consumption is associated with a reduced risk of type 2 diabetes mellitus (T2DM). The aim of the present study was to assess the effects of adding peanuts (whole or peanut butter) on first (0–240 min)- and second (240–490 min)-meal glucose metabolism and selected gut satiety hormone responses, appetite ratings and food intake in obese women with high T2DM risk. A group of fifteen women participated in a randomised cross-over clinical trial in which 42·5 g of whole peanuts without skins (WP), peanut butter (PB) or no peanuts (control) were added to a 75 g available carbohydrate-matched breakfast meal. Postprandial concentrations (0–490 min) of glucose, insulin, NEFA, glucagon-like peptide-1 (GLP-1), peptide YY (PYY), cholecystokinin (CCK), appetitive sensations and food intake were assessed after breakfast treatments and a standard lunch. Postprandial NEFA incremental AUC (IAUC) (0–240 min) and glucose IAUC (240–490 min) responses were lower for the PB breakfast compared with the control breakfast. Insulin concentrations were higher at 120 and 370 min after the PB consumption than after the control consumption. Desire-to-eat ratings were lower, while PYY, GLP-1 and CCK concentrations were higher after the PB intake compared with the control intake. WP led to similar but non-significant effects. The addition of PB to breakfast moderated postprandial glucose and NEFA concentrations, enhanced gut satiety hormone secretion and reduced the desire to eat. The greater bioaccessibility of the lipid component in PB is probably responsible for the observed incremental post-ingestive responses between the nut forms. Inclusion of PB, and probably WP, to breakfast may help to moderate glucose concentrations and appetite in obese women.

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Nutrient and Food Intake in Obese Women on a Low-Fat or Low-Calorie Diet

American Journal of Health Promotion ◽

10.4278/0890-1171-10.3.179 ◽

1996 ◽

Vol 10 (3) ◽

pp. 179-182 ◽

Cited By ~ 16

Author(s):

Meena Shah ◽

Judith E. Baxter ◽

Paul G. McGovern ◽

Abhimanyu Garg

Keyword(s):

Food Intake ◽

Obese Women ◽

Low Fat ◽

Low Calorie ◽

Low Calorie Diet ◽

Calorie Diet

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Binge Eating Disorder Mediates Links between Symptoms of Depression, Anxiety, and Caloric Intake in Overweight and Obese Women

Journal of Obesity ◽

10.1155/2012/407103 ◽

2012 ◽

Vol 2012 ◽

pp. 1-8 ◽

Cited By ~ 22

Author(s):

Roseann E. Peterson ◽

Shawn J. Latendresse ◽

Lindsay T. Bartholome ◽

Cortney S. Warren ◽

Nancy C. Raymond

Keyword(s):

Eating Disorder ◽

Food Intake ◽

Binge Eating ◽

Path Analysis ◽

Binge Eating Disorder ◽

Internalizing Symptoms ◽

Depression And Anxiety ◽

Obese Women ◽

Effective Prevention ◽

Symptoms Of Depression

Despite considerable comorbidity between mood disorders, binge eating disorder (BED), and obesity, the underlying mechanisms remain unresolved. Therefore, the purpose of this study was to examine models by which internalizing behaviors of depression and anxiety influence food intake in overweight/obese women. Thirty-two women (15 BED, 17 controls) participated in a laboratory eating-episode and completed questionnaires assessing symptoms of anxiety and depression. Path analysis was used to test mediation and moderation models to determine the mechanisms by which internalizing symptoms influenced kilocalorie (kcal) intake. The BED group endorsed significantly more symptoms of depression (10.1 versus 4.8,P=0.005) and anxiety (8.5 versus 2.7,P=0.003). Linear regression indicated that BED diagnosis and internalizing symptoms accounted for 30% of the variance in kcal intake. Results from path analysis suggested that BED mediates the influence of internalizing symptoms on total kcal intake (empiricalP<0.001). The associations between internalizing symptoms and food intake are best described as operating indirectly through a BED diagnosis. This suggests that symptoms of depression and anxiety influence whether one engages in binge eating, which influences kcal intake. Greater understanding of the mechanisms underlying the associations between mood, binge eating, and food intake will facilitate the development of more effective prevention and treatment strategies for both BED and obesity.

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