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1.
Eur J Nutr ; 2024 May 16.
Artigo em Inglês | MEDLINE | ID: mdl-38753172

RESUMO

PURPOSE: Metabolic health phenotypes exist across the body mass index spectrum. Diet may be an important modifiable risk factor, yet limited research exists on dietary patterns in this context. We investigated associations between dietary patterns, reflecting dietary quality, healthfulness and inflammatory potential, and metabolic health phenotypes in adults living with and without obesity. METHODS: This cross-sectional study included 2,040 middle- to older-aged men and women randomly selected from a large primary care centre. The Dietary Approaches to Stop Hypertension score, Healthy Eating Index, Dietary Inflammatory Index, overall, healthful and unhealthful plant-based dietary indices and Nutri-Score were derived from validated food frequency questionnaires. Descriptive and logistic regression analyses were used to examine diet score relationships with metabolic health phenotypes (Metabolically Healthy/Unhealthy Obese (MHO/MUO) and Non-Obese (MHNO/MUNO)), defined using three separate metabolic health definitions, each capturing different aspects of metabolic health. RESULTS: In fully adjusted models, higher unhealthful plant-based dietary scores were associated with a lower likelihood of MHO (OR = 0.96, 95% CI: 0.93-1.00, p = 0.038) and MHNO (OR = 0.97, 95% CI: 0.95-0.99, p = 0.006). Higher Nutri-Score values were associated with an increased likelihood of MHNO (OR = 1.06, 95% CI: 1.01-1.13, p = 0.033). CONCLUSION: These findings provide evidence that more unhealthful plant-based diets may be linked with unfavourable metabolic health status, irrespective of BMI.

2.
Brain Behav Immun Health ; 37: 100759, 2024 May.
Artigo em Inglês | MEDLINE | ID: mdl-38560580

RESUMO

Background: Mental disorders are a growing public health concern and evidence has linked chronic low-grade inflammation with depression and well-being. Research also suggests that certain modifiable lifestyle factors such as smoking, alcohol use, physical activity, diet quality and BMI are related to psychological health. These may modulate the relationship between low-grade inflammation and mental health conditions. In this study we examined inflammatory biomarker associations with two psychological health scores and investigated whether relationships are influenced by lifestyle factors and BMI. Methods: This was a cross-sectional study of 1824 middle-to older-aged men and women randomly selected from a large primary care centre. Depressive symptoms and well-being were assessed using the 20-item Centre for Epidemiologic Studies Depression (CES-D) Scale and the World Health Organization-Five (WHO-5) Well-Being Index. Linear regression analyses were performed to examine depression and well-being score relationships with six inflammatory biomarkers, and a composite inflammatory biomarker score, adjusting for demographic characteristics, health conditions, lifestyle factors and BMI. Results: Depression and well-being score associations with complement component 3 (CES-D only) c-reactive protein, interleukin 6, leptin, white blood cell counts, neutrophils and the inflammatory biomarker score were observed. These relationships survived adjustment for demographic variables and health conditions but were attenuated in models which included lifestyle factors and BMI. In final models, only leptin (ß = 0.566, p = 0.018) and inflammatory score (ß = 0.137, p = 0.004) associations with the CES-D score remained. Conclusions: These findings suggest that the relationship between systemic low-grade inflammation and depressive symptoms and well-being may be largely explained by lifestyle factors and adiposity, highlighting the potential importance of promoting a healthy lifestyle in the treatment of depressive disorders.

3.
SSM Popul Health ; 25: 101608, 2024 Mar.
Artigo em Inglês | MEDLINE | ID: mdl-38261965

RESUMO

Background: Exposure to adverse childhood experiences (ACEs) has been linked with increased cardiometabolic risk in adulthood. Low-grade systemic inflammation may underlie this association. Thus far, however, there has been limited investigation of later life inflammatory biomarkers in the context of childhood adversity. Objectives: To assess ACE history, and ACE subcategory, relationships with a broad range of inflammatory biomarkers in middle-to older-aged adults to test the hypothesis that ACE exposure is associated with an unfavourable inflammatory profile in adulthood and determine whether associations vary by ACE subtype and sex. Methods: This study used data from a random sample of 1,839 men and women aged 46-74 years. Participant exposure to ACEs (overall and subtypes including abuse, neglect and household dysfunction) was determined using a validated 10-item ACE questionnaire. Inflammatory biomarkers (pro-inflammatory cytokines, adipocytokines, acute-phase response proteins, white blood cell counts and their constituents, coagulation factors and glycoprotein acetyl) were measured from participant blood samples. Linear regression analyses examined relationships between ACE history (overall and each subcategory) and inflammatory biomarkers in adulthood, controlling for potential confounders. Sex-stratified and mediation analyses were also conducted. Results: In age and sex-adjusted models, ACE history was significantly associated with higher c-reactive protein (p = 0.027), resistin (p = 0.024), white blood cell count (WBC) (p = 0.034), monocyte (p = 0.044), eosinophil (p = 0.031) and plasminogen activator inhibitor-1 (p = 0.047) concentrations, and lower adiponectin (p = 0.025) levels. Results from stratified analyses indicated sex differences and ACE subtype specific associations, with household dysfunction identified as the main driver of positive ACE associations with WBCs and constituents (all p < 0.05). Mediation analyses suggested that BMI and smoking mediate relationships between ACE exposures and increased inflammation. Conclusions: This study provides evidence that ACE exposure may be associated with more pro-inflammatory and pro-thrombotic profiles in adulthood. Associations differed according to ACE subtype, and sex differences exist, which may influence cardiometabolic risk.

4.
Clin Nutr ; 43(9): 1972-1980, 2024 Jul 14.
Artigo em Inglês | MEDLINE | ID: mdl-39033562

RESUMO

BACKGROUND AND AIMS: Studies have consistently demonstrated associations between ultra-processed food and drink (UPFD) consumption and non-communicable diseases. However, there is a lack of data investigating relationships between UPFD intake and intermediate cardiometabolic disease markers. In this study we explored UPFD associations with lipoprotein subclasses. METHODS: This was a cross-sectional study of 1986 middle-to older-aged men and women randomly selected from a large primary care centre. The percentage contribution of UPFDs to total energy intake was calculated for each participant using the NOVA classification. Lipoprotein particle subclass concentrations and size were determined using nuclear magnetic resonance spectroscopy. Correlation and multivariate-adjusted linear regression analyses were performed to examine UPFD intake relationships with lipoprotein subclasses. RESULTS: In fully adjusted regression models, higher UPFD consumption was associated with reduced high-density lipoprotein (HDL) cholesterol concentrations (ß = -0.024, p = 0.001), large low-density lipoprotein (LDL) levels (ß = -18.645, p = 0.002), total and medium HDL concentrations (ß = -0.328, p = 0.012; ß = -0.510, p < 0.001), smaller LDL and HDL size (ß = -0.026, p = 0.023; ß = -0.023, p = 0.024), and increased medium very low-density lipoprotein levels (ß = 0.053, p = 0.022), small LDL and HDL concentrations (ß = 20.358, p = 0.02; ß = 0.336, p = 0.011), and higher lipoprotein insulin resistance scores (ß = 0.048, p = 0.012), reflecting greater lipoprotein-related insulin resistance. CONCLUSIONS: Findings from this research suggest that increased intake of UPFDs is associated with a more pro-atherogenic, insulin-resistant metabolic profile in middle-to older-aged adults which may be a potential mechanism underlying reported associations between UPFD consumption and chronic disease risk and mortality.

5.
Nutr Rev ; 2024 Jul 08.
Artigo em Inglês | MEDLINE | ID: mdl-38976594

RESUMO

CONTEXT: International evidence shows that individuals from low socioeconomic positions (SEPs) consume a greater amount of salt than those from higher SEPs. This health inequality reflects a disproportionate effect of salt-reduction initiatives, and explains a higher prevalence of cardiovascular disease among the most vulnerable populations. Assessing this impact can help tailor implementation strategies in the future for the benefit of the whole population. OBJECTIVE: The aim was to systematically review the literature and assess the impact of salt-reduction initiatives on health and behavioral outcomes of adults by SEP. DATA SOURCES: The search strategy was conducted in 6 databases (CINAHL, Scopus, Embase, MEDLINE, PubMed, and Web of Science) using the terms sodium or salt, social class, policy, intervention or campaign. Peer-reviewed articles assessing salt-reduction interventions in adults reporting dietary or behavioral changes on salt consumption measurements by SEP were considered for inclusion. Articles in which salt intake data were not reported by SEP were excluded. DATA EXTRACTION: Two reviewers collected data independently using a predesigned electronic form. The AXIS and RoB 2 tools were used for critical appraisal. DATA ANALYSIS: Eight studies containing data from 111 548 adults were interpreted according to study design following a narrative synthesis approach. RESULTS: Salt-reduction initiatives are effective at reducing the intake of salt and sodium in adults. When reporting the impact of these initiatives, research outcomes are generally not evaluated by SEP, representing a question yet to be explored. CONCLUSION: A small number of articles that focused on the impact of salt-reduction interventions reported salt consumption measurements by SEP, indicating a critical gap in research. The limited evidence suggests potentially greater health benefits to be gained from the implementation of population-wide initiatives in adults of low SEP. SYSTEMATIC REVIEW REGISTRATION: PROSPERO registration no. CRD42021238055.

6.
Atherosclerosis ; 395: 117559, 2024 Aug.
Artigo em Inglês | MEDLINE | ID: mdl-38692976

RESUMO

BACKGROUND AND AIMS: Lipoprotein particle concentrations and size are associated with increased risk for atherosclerosis and premature cardiovascular disease. Certain dietary behaviours may be cardioprotective and public health strategies are needed to guide consumers' dietary choices and help prevent diet-related disease. The Food Standards Agency nutrient profiling system (FSAm-NPS) constitutes the basis of the five-colour front-of-pack Nutri-Score labelling system. No study has examined FSAm-NPS index associations with a wide range of lipoprotein particle subclasses. METHODS: This was a cross-sectional study of 2006 middle-to older-aged men and women randomly selected from a large primary care centre. Individual participant FSAm-NPS dietary scores were derived from validated food frequency questionnaires. Lipoprotein particle subclass concentrations and size were determined using nuclear magnetic resonance spectroscopy. Multivariate-adjusted linear regression analyses were performed to examine FSAm-NPS relationships with lipoprotein particle subclasses. RESULTS: In fully adjusted models which accounted for multiple testing, higher FSAm-NPS scores, indicating poorer dietary quality, were positively associated with intermediate-density lipoprotein (ß = 0.096, p = 0.005) and small high-density lipoprotein (HDL) (ß = 0.492, p = 0.006) concentrations, a lipoprotein insulin resistance score (ß = 0.063, p = 0.02), reflecting greater lipoprotein-related insulin resistance, and inversely associated with HDL size (ß = -0.030, p = 0.045). CONCLUSIONS: A higher FSAm-NPS score is associated with a less favourable lipoprotein particle subclass profile in middle-to older-aged adults which may be a potential mechanism underlying reported health benefits of a healthy diet according to Nutri-Score rating.


Assuntos
Rotulagem de Alimentos , Lipoproteínas , Valor Nutritivo , Humanos , Masculino , Feminino , Estudos Transversais , Pessoa de Meia-Idade , Lipoproteínas/sangue , Lipoproteínas/classificação , Idoso , Tamanho da Partícula , Dieta Saudável , Espectroscopia de Ressonância Magnética , Adulto
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