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Rodríguez-López, Carmen; González-Torres, María Cristina; Cruz-Bautista, Ivette; Nájera-Medina, Oralia

doi:10.20960/nh.1889

Cited by 8 publications

(5 citation statements)

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“…It is noteworthy that the patterns found grouped two or more diseases, with a well-related physiological mechanism. The cardiometabolic pattern, in addition to grouping the largest number of diseases, was also associated with BMI and WC, corroborating the literature that shows the impact of excess weight on the pattern of diseases ( Flor et al, 2015 ; Murray et al, 2015 ; Tang, Liebeskind & Towfighi, 2017 ; Nájera Medina et al, 2019 ). The pattern of osteoarticular diseases was also associated with adiposity.…”

Section: Discussionsupporting

confidence: 86%

“…The study by Petarli et al (2019) investigated the association of WC in MM in adults ( Petarli et al, 2019 ), and Zhang et al (2020) assessed the WC among older adults ( Zhang et al, 2020 ) and found an association between increased abdominal fat and MM. WC is considered relevant due to the role that abdominal adiposity plays in the development of NCDs ( Melo, 2011 ; Nájera Medina et al, 2019 ).…”

Section: Discussionmentioning

confidence: 99%

“…Furthermore, these MM patterns may be affected by socioeconomic factors and lifestyles, as well as eating habits and excess of weight ( Van Den Akker, Buntinx & Knottnerus, 1996 ; Prados-Torres et al, 2012 ; De Carvalho et al, 2018 ). This excessive fat accumulation, especially abdominal fat is associated with important metabolic, hormonal, and inflammatory changes ( Flor et al, 2015 ; Hall et al, 2015 ; Catrysse & Van Loo, 2017 ; Dragano, Haddad-Tovolli & Velloso, 2017 ; Nájera Medina et al, 2019 ). Therefore, excess of weight, particularly obesity, could be involved in the development of multiple non-communicable chronic diseases (NCDs) ( Samper-Ternent & Al Snih, 2012 ; Ezzati, 2017 ; Zhang et al, 2020 ).…”

Section: Introductionmentioning

confidence: 99%

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Cross-sectional associations between body mass index, waist circumference, and multimorbidity: Pró-Saúde study

Stumpf

Oliveira

Faerstein

et al. 2023

PeerJ

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Background This study aimed (1) To investigate the association between the Body Mass Index (BMI) and waist circumference (WC) with multimorbidity (MM), and (2) To identify patterns of MM and investigate the relationship between BMI and WC with specific combinations of MM (patterns of MM). Methods A cross-sectional study was conducted with 2,698 participants of the fourth phase of the Brazilian Longitudinal Study of Adult Health (Pró-Saúde Study). MM was defined by the presence of two or more morbidities. MM patterns were identified by exploratory factor analysis based on tetrachoric correlations. Logistic regression models were used to assess associations (odds ratios (OR) with the respective confidence intervals (CI)). Results Of the total number of participants, 39.5% were overweight and 30.0% were obese; 89.0% (n = 1,468) of women and 77.0% (n = 952) of men were abdominally obese. Indeed, 60.7% (n = 1,635) was identified with MM. For the category four or more morbidities, OR values of 5.98 (95% CI 4.84–7.13) and 7.48 (95% CI 6.14–8.18) were found for each point of increase in BMI, and 6.74 (95% CI 5.48–7.99) and 8.48 (95% CI 7.64–9.29) for each additional centimeter in the WC, for female and male, respectively. Five patterns of MM were identified: respiratory, osteoarticular, cardiometabolic, gastric, and thyroid diseases (56.4% of the total variance). Positive associations were found between BMI and patterns of cardiometabolic, osteoarticular, thyroid and gastric diseases (higher OR of 1.09 [95% CI 1.04–1.14]) and less pronounced between WC and patterns of cardiometabolic and osteoarticular (higher OR of 1.04 [95% CI 1.03–1.04]). Conclusions The results showed that an increase of both BMI and WC was associated with a higher number of morbidities and with patterns of cardiometabolic and osteoarticular diseases.

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Section: Discussionsupporting

confidence: 86%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Cross-sectional associations between body mass index, waist circumference, and multimorbidity: Pró-Saúde study

Stumpf

Oliveira

Faerstein

et al. 2023

PeerJ

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“…Obesity consists of an excessive accumulation of body fat, which can represent a serious health risk and involves several ethological factors, including social, behavioral, environmental, cultural, psychological, metabolic, and genetic factors [40]. It is known that excessive fat accumulation, mostly visceral, can be an important condition in the development of metabolic dysfunctions, such as arterial hypertension, dyslipidemia and insulin resistance, and alterations conducive to the development of diabetes mellitus type 2, cardiovascular illnesses [41] and cancer [42], such as prostate [43] and colon rectal cancer [44]. Thus, the metabolic syndrome can be defined as the set of these risk factors, i.e., a cluster of metabolic disorders associated with obesity, including insulin resistance, atherogenic dyslipidemia and hypertension, which can lead to cardiovascular illnesses [45].…”

Section: Effects Of C Papaya L On Metabolic Syndromementioning

confidence: 99%

Nutraceutical Potential of Carica papaya in Metabolic Syndrome

et al. 2019

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Carica papaya L. is a well-known fruit worldwide, and its highest production occurs in tropical and subtropical regions. The pulp contains vitamins A, C, and E, B complex vitamins, such as pantothenic acid and folate, and minerals, such as magnesium and potassium, as well as food fibers. Phenolic compounds, such as benzyl isothiocyanate, glucosinolates, tocopherols (α and δ), β-cryptoxanthin, β-carotene and carotenoids, are found in the seeds. The oil extracted from the seed principally presents oleic fatty acid followed by palmitic, linoleic and stearic acids, whereas the leaves have high contents of food fibers and polyphenolic compounds, flavonoids, saponins, pro-anthocyanins, tocopherol, and benzyl isothiocyanate. Studies demonstrated that the nutrients present in its composition have beneficial effects on the cardiovascular system, protecting it against cardiovascular illnesses and preventing harm caused by free radicals. It has also been reported that it aids in the treatment of diabetes mellitus and in the reduction of cholesterol levels. Thus, both the pulp and the other parts of the plant (leaves and seeds) present antioxidant, anti-hypertensive, hypoglycemic, and hypolipidemic actions, which, in turn, can contribute to the prevention and treatment of obesity and associated metabolic disorders.

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“…This adipokine was described primarily as affecting glucose metabolism in a manner antagonistic to insulin [ 78 ], and mainly links insulin resistance, obesity, and inflammation [ 142 , 143 ]. In addition, a higher level of this hormone in serum, SAT, and VAT was noticed compared to those with a normal weight [ 56 , 79 ].…”

Section: Resistinmentioning

confidence: 99%

Melanoma Progression under Obesity: Focus on Adipokines

Olszańska

Pietraszek-Gremplewicz

Nowak

2021

Cancers

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Obesity is a growing problem in the world and is one of the risk factors of various cancers. Among these cancers is melanoma, which accounts for the majority of skin tumor deaths. Current studies are looking for a correlation between obesity and melanoma. They suspect that a potential cause of its development is connected to the biology of adipokines, active molecules secreted by adipose tissue. Under physiological conditions, adipokines control many processes, including lipid and glucose homeostasis, insulin sensitivity, angiogenesis, and inflammations. However, when there is an increased amount of fat in the body, their secretion is dysregulated. This article reviews the current knowledge of the effect of adipokines on melanoma growth. This work focuses on the molecular pathways by which adipose tissue secreted molecules modify the angiogenesis, migration, invasion, proliferation, and death of melanoma cells. We also discuss the role of these factors as markers of incidence, metastasis, and melanoma patient survival. Understanding the functions of adipokines will lead to knowledge of whether and how obesity promotes melanoma growth. Further studies may contribute to the innovations of therapies and the use of adipokines as predictive and/or prognostic biomarkers.

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Untitled

Cited by 8 publications

References 0 publications

Cross-sectional associations between body mass index, waist circumference, and multimorbidity: Pró-Saúde study

Cross-sectional associations between body mass index, waist circumference, and multimorbidity: Pró-Saúde study

Nutraceutical Potential of Carica papaya in Metabolic Syndrome

Melanoma Progression under Obesity: Focus on Adipokines

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