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1.
Front Nutr ; 11: 1349538, 2024.
Article in English | MEDLINE | ID: mdl-38751735

ABSTRACT

Introduction: Understanding how socioeconomic markers interact could inform future policies aimed at increasing adherence to a healthy diet. Methods: This cross-sectional study included 437,860 participants from the UK Biobank. Dietary intake was self-reported. Were used as measures socioeconomic education level, income and Townsend deprivation index. A healthy diet score was defined using current dietary recommendations for nine food items and one point was assigned for meeting the recommendation for each. Good adherence to a healthy diet was defined as the top 75th percentile, while poor adherence was defined as the lowest 25th percentile. Poisson regression was used to investigate adherence to dietary recommendations. Results: There were significant trends whereby diet scores tended to be less healthy as deprivation markers increased. The diet score trends were greater for education compared to area deprivation and income. Compared to participants with the highest level of education, those with the lowest education were found to be 48% less likely to adhere to a healthy diet (95% Confidence Interval [CI]: 0.60-0.64). Additionally, participants with the lowest income level were 33% less likely to maintain a healthy diet (95% CI: 0.73-0.81), and those in the most deprived areas were 13% less likely (95% CI: 0.84-0.91). Discussion/conclussion: Among the three measured proxies of socioeconomic status - education, income, and area deprivation - low education emerged as the strongest factor associated with lower adherence to a healthy diet.

2.
Front Physiol ; 12: 713016, 2021.
Article in English | MEDLINE | ID: mdl-34393829

ABSTRACT

Background: Human adaptive response to exercise interventions is often described as group average and SD to represent the typical response for most individuals, but studies reporting individual responses to exercise show a wide range of responses. Objective: To characterize the physiological effects and inter-individual variability on fat mass and other health-related and physical performance outcomes after 12 weeks of high-intensity interval training (HIIT) and dietary energy restriction in overweight/obese adult women. Methods: Thirty untrained adult overweight and obese women (age = 27.4 ± 7.9 years; BMI = 29.9 ± 3.3 kg/m2) successfully completed a 12-week supervised HIIT program and an individually prescribed home hypocaloric diet (75% of daily energy requirements) throughout the whole intervention. High and low responders to the intervention were those individuals who were able to lose ≥ 10 and < 10% of initial absolute fat mass (i.e., kilograms), respectively. Results: The prevalence for high and low responders was 33% (n = 11) and 66% (n = 19), respectively. At the whole group level, the intervention was effective to reduce the absolute fat mass (30.9 ± 7.2 vs. 28.5 ± 7.2 kg; p < 0.0001), body fat percentage (39.8 ± 4.3 vs. 37.8 ± 4.9%; p < 0.0001), and total body mass (76.7 ± 10.1 vs. 74.4 ± 9.9 kg; p < 0.0001). In addition, there were improvements in systolic blood pressure (SBP; Δ% = -5.1%), diastolic blood pressure (DBP; Δ% = -6.4%), absolute VO2peak (Δ% = +14.0%), relative VO2peak (Δ% = +13.8%), peak power output (PPO; Δ% = +19.8%), anaerobic threshold (AT; Δ% = +16.7%), maximal ventilation (VE; Δ% = +14.1%), and peak oxygen pulse (O2 pulse; Δ% = +10.4%). However, at the individual level, a wide range of effects were appreciated on all variables, and the magnitude of the fat mass changes did not correlate with baseline body mass or fat mass. Conclusion: A 12-week supervised HIIT program added to a slight dietary energy restriction effectively improved fat mass, body mass, blood pressure, and cardiorespiratory fitness (CRF). However, a wide range of inter-individual variability was observed in the adaptative response to the intervention. Furthermore, subjects classified as low responders for fat mass reduction could be high responders (HiRes) in many other health-related and physical performance outcomes. Thus, the beneficial effects of exercise in obese and overweight women go further beyond the adaptive response to a single outcome variable such as fat mass or total body mass reduction.

3.
Rev. chil. endocrinol. diabetes ; 14(2): 65-73, 2021. tab, ilus
Article in Spanish | LILACS | ID: biblio-1283551

ABSTRACT

INTRODUCCIÓN: Las dislipidemias favorecen la formación precoz de placas ateroscleróticas, aumentando el riesgo de enfermedades cardiovasculares (ECVs). La Actividad Física (AF) es un factor protector de ECVs, por lo que el objetivo de este trabajo fue evaluar la asociación entre AF medida objetivamente y dislipidemias en población pediátrica. METODOLOGÍA: La AF fue evaluada en 159 niños (9-13 años) de la Región de La Araucanía a través de acelerometría (ActiGraph GT3X+). Por este medio se estimó el porcentaje de AF moderada a vigorosa (AFMV) y el de conducta sedentaria (CS). Sujetos con ≥60 min de AFMV se consideraron físicamente activos según recomendación de la Organización Mundial de la Salud (OMS). Individuos con %CS>75° percentil fueron considerados sedentarios. El perfil lipídico fue determinado usando métodos convencionales. Fueron calculados índices de aterogenicidad TG/cHDL e índice de aterogenicidad del plasma (IAP). RESULTADOS: 37,1% presentó dislipidemia, 8% hipercolesterolemia, 19,5% hipertrigliceridemia, 6,3% cLDL elevado y 25,2% cHDL disminuido. Solo un 9,4% fueron considerados físicamente activos de acuerdo a la recomendación de la OMS. En los sujetos físicamente activos no hubo caso de dislipidemias (p= 0,032) y tampoco bajos niveles de cHDL (p= 0,013). El %AFMV estaba reducido en sujetos con cHDL bajo y se correlacionó positivamente con HDL-c (r= 0,157, p=0,048). Además, el %AFMV se correlacionó con menores valores de TG/cHDL (r= -0,193, p=0,015) e IAP (r= -0,214, p=0,006). Si bien el comportamiento sedentario no estuvo asociado con riesgo de dislipidemias, el %CS se correlacionó positivamente con niveles de glucosa (r= 0,159, p=0,044) y HOMA-IR (r= 0,178, p=0,037) y negativamente con Quicki (r= -0,160, p=0,044). CONCLUSIONES: Los hallazgos sugieren que la AF se correlaciona a menor frecuencia de dislipidemias y la práctica de AFMV aumentaría los valores de HDL-c y reduciría los índices aterogénicos, por lo que promoverla puede significar disminuir el riesgo de ECVs en nuestra población. Además, la CS se relaciona con un aumento en valores de glucosa e índices de resistencia insulínica en escolares de la Región de La Araucanía.


Dyslipidemias cause early formation of atherosclerotic plaque, increasing the risk of cardiovascular diseases (CVD). Physical Activity (PA) is a protective factor against CVDs. The aim of this study is to evaluate the association between objectively measured PA with dyslipidemias in a pediatric population. METHOD: The PA was evaluated in 159 children (9-13 years old) from Región de La Araucanía using accelerometry (ActiGraph GT3X +). The percentage of moderate to vigorous PA (MVPA) and sedentary behavior (SB) were estimated. Subjects with ≥60 min of MVPA were considered physically active according to the recommendation of the World Health Organization (WHO). Individuals with %SB >75th percentile were sedentary. The lipid profile was determined using conventional methods. TG/HDL-C ratio and atherogenic index of plasma (AIP) were calculated. RESULTS: 37.1% presented dyslipidemia, 8% hypercholesterolemia, 19.5% hypertriglyceridemia, 6.3% elevated LDL-C and 25.2% decreased HDL-C. Only 9.4% were physically active according to the WHO recommendation. In physically active subjects where no cases of dyslipidemias (p =0.032) and no low HDL-C (p = 0.013). The %MVPA was reduced in subjects with low HDL-C and positively correlated with HDL-c (r = 0.157, p = 0.048). In addition, %MVPA was correlated with lower TG / HDL-C values (r = -0.193, p = 0.015) and AIP (r = -0.214, p = 0.006). SB was not associated with risk of dyslipidemia, % SB was positively correlated with glucose levels (r = 0.159, p = 0.044) and HOMA-IR (r = 0.178, p = 0.037) and negatively with Quicki (r = -0.160, p = 0.044). CONCLUSIONS: Our results suggested that PA is it correlates to a lower frequency of dyslipidemia and the practice of MVPA would increase HDL-c values and reduce atherogenic index, promoting it may been reducing the risk of CVDs in our population. In addition, the SB is related to an increase in glucose values and insulin resistance index in schoolchildren in Región de La Araucanía.


Subject(s)
Humans , Male , Female , Child , Adolescent , Cardiovascular Diseases/prevention & control , Exercise , Dyslipidemias/blood , Students , Triglycerides/blood , Body Weight , Insulin Resistance , Chile , Anthropometry , Nutritional Status , Cross-Sectional Studies , Education, Primary and Secondary , Atherosclerosis/blood , Sedentary Behavior , Accelerometry , Heart Disease Risk Factors , Homeostasis , Cholesterol, HDL/blood , Cholesterol, LDL/blood
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