OBJECTIVE: Diabetes prevalence and incidence increase among individuals with hypothyroidism but also among those with hyperthyroxinemia, which seems contradictory. Both high free thyroxine (fT4) and high thyroid-stimulating hormone (TSH) are present in the resistance to thyroid hormone syndrome. A mild acquired resistance to thyroid hormone might occur in the general population and be associated with diabetes. We aimed to analyze the association of resistance to thyroid hormone indices (the Thyroid Feedback Quantile-based Index [TFQI], proposed in this work, and the previously used Thyrotroph T4 Resistance Index and TSH Index) with diabetes. RESEARCH DESIGN AND METHODS: We calculated the aforementioned resistance to thyroid hormone indices based on a U.S. representative sample of 5,129 individuals ≥20 years of age participating in the 2007–2008 National Health and Nutrition Examination Survey (NHANES). Also, to approximate TFQI, a U.S.-referenced Parametric TFQI (PTFQI) can be calculated with the spreadsheet formula =NORM.DIST(fT4_cell_in_pmol_per_L,10.075,2.155,TRUE)+NORM.DIST(LN(TSH_cell_in_mIU_per_L),0.4654,0.7744,TRUE)−1. Outcomes of interest were glycohemoglobin ≥6.5%, diabetes medication, diabetes-related deaths (diabetes as contributing cause of death), and additionally, in a fasting subsample, diabetes and metabolic syndrome. Logistic and Poisson regressions were adjusted for sex, age, and race/ethnicity. RESULTS: Odd ratios for the fourth versus the first quartile of TFQI were 1.73 (95% CI 1.32, 2.27) (Ptrend = 0.002) for positive glycohemoglobin and 1.66 (95% CI 1.31, 2.10) (Ptrend = 0.001) for medication. Diabetes-related death rate ratio for TFQI being above versus below the median was 4.81 (95% CI 1.01, 22.94) (Ptrend = 0.015). Further adjustment for BMI and restriction to normothyroid individuals yielded similar results. Per 1 SD in TFQI, odds increased 1.13 (95% CI 1.02, 1.25) for diabetes and 1.16 (95% CI 1.02, 1.31) for metabolic syndrome. The other resistance to thyroid hormone indices showed similar associations for diabetes-related deaths and metabolic syndrome. CONCLUSIONS: Higher values in resistance to thyroid hormone indices are associated with obesity, metabolic syndrome, diabetes, and diabetes-related mortality. Resistance to thyroid hormone may reflect energy balance problems driving type 2 diabetes. These indices may facilitate monitoring treatments focused on energy balance.

Objective: To design and develop a questionnaire that can account for an individual’s adherence to a Mediterranean lifestyle including the assessment of diet and physical activity patterns, as well as social interaction.Design: The Mediterranean Lifestyle (MEDLIFE) index was created based on the current Spanish Mediterranean food guide pyramid. MEDLIFE is a twenty-eight-item derived index consisting of questions about food consumption (fifteen items), traditional Mediterranean dietary habits (seven items) and physical activity, rest and social interaction habits (six items). Linear regression models and Spearman rank correlation were fitted to assess content validity and internal consistency.Setting: A subset of participants in the Aragon Workers’ Health Study cohort (Zaragoza, Spain) provided the data for development of MEDLIFE.Subjects: Participants (n 988) of the Aragon Workers’ Health Study cohort in Spain.Results: Mean MEDLIFE score was 11·3 (sd 2·6; range: 0–28), and the quintile distribution of MEDLIFE score showed a significant association with each of the individual items as well as with specific nutrients and lifestyle indicators (intra-validity). We also quantified MEDLIFE correspondence with previously reported diet quality indices and found significant correlations (ρ range: 0·44–0·53; P<0·001) for the Alternate Healthy Eating Index, the Alternate Mediterranean Diet Index and Mediterranean Diet Adherence Screener.Conclusions: MEDLIFE is the first index to include an overall assessment of lifestyle habits. It is expected to be a more holistic tool to measure adherence to the Mediterranean lifestyle in epidemiological studies.

Background: Ultra-processed food intake has been associated with chronic conditions and mortality. The aim of this study was to assess the relationship between ultra-processed food intake and incident frailty in community-dwelling older adults.Methods: Prospective cohort study with 1,822 individuals aged at least 60 years who were recruited during 2008–2010 in Spain. At baseline, food consumption was obtained using a validated computerized face-to-face dietary history. Ultra-processed foods were identified according to the nature and extent of their industrial processing (NOVA classification). In 2012, incident frailty was ascertained based on Fried’s criteria. Statistical analyses were performed with logistic regression and adjusted for the main potential confounders.Results: After a mean follow-up of 3.5 years, 132 cases of frailty were identified. The fully adjusted risks of frailty across increasing quartiles of the percentage of total energy intake from ultra-processed foods were the following: 0.04 (0.02–0.05), 0.05 (0.03–0.07), 0.09 (0.07–0.12), and 0.11 (0.08–0.14). Results were similar when food consumption was expressed as gram per day/body weight. Regarding ultra-processed food groups, the highest versus the lowest tertiles of consumption of yogurts and fermented milks, cakes and pastries, as well as nonalcoholic beverages (instant coffee and cocoa, packaged juices, and other nonalcoholic drinks, excluding soft drinks) were also significantly related to incident frailty.Conclusions: Consumption of ultra-processed foods is strongly associated with frailty risk in older adults. Substituting unprocessed or minimally processed foods for ultra-processed foods would play an important role in the prevention of age-related frailty.Trial registration: NCT02804672.

The specific association of olive oil consumption with coronary heart disease (CHD) or stroke has not been totally established. to examine whether olive oil consumption is associated with subclinical atherosclerosis, the risk of total cardiovascular disease (CVD), CHD, and stroke. Three cohorts were included: AWHS (2318 men), SUN Project (18,266 men and women), and EPIC-Spain (39,393 men and women). Olive oil consumption was measured at baseline using validated questionnaires. In the AWHS, 747 participants had a positive coronary artery calcium score (CACS>0), and the OR (95% CI) was 0.89 (0.72, 1.10) in those with virgin olive oil consumption ≥30 g/day (v. <10 g/day). In the SUN Project (follow-up 10.8 years) 261 total CVD cases occurred, and the HR was 0.57 (0.34, 0.96) for consumptions ≥30 g/day (v. <10 g/day). In the EPIC-Spain (follow-up 22.8 years) 1300 CHD cases and 938 stroke cases occurred; the HRs for stroke according, 0 to <10 (ref), 10 to <20, 20 to <30, and ≥30 g/day of olive oil consumption, were 0.84 (0.70, 1.02), 0.80 (0.66, 0.96), 0.89 (0.74, 1.07). A weaker association was observed for CHD. The association was stronger among those consuming virgin olive oil, instead of common (refined). Olive oil is associated with lower risk of CVD and stroke. The maximum benefit could be obtained with a consumption between 20 and 30 g/day. The association could be stronger for virgin olive oil and might operate from the early stages of the disease.

(1) Background: The increasing occurrence of the metabolic syndrome (MetS) is largely related to harmful food habits. Among them, the consumption of sugar-sweetened beverages (SSBs) is noteworthy. However, to our knowledge, there are not enough high-quality methodological studies summarizing the association between the intake of SSBs and the MetS. Therefore, the aim of this study is to examine the existing published results on this association among adults by synthesizing the existing evidence. (2) Methods: Systematic review and meta-analysis of observational studies following the PRISMA guidelines. Relevant information was extracted and presented following the PRISMA recommendations. PubMed and SCOPUS databases were searched for studies published until June 2022 that assessed the association between SSB consumption (including soft drinks, bottled fruit juices, energy drinks, and milkshakes) and the occurrence of MetS. Random effect models were used to estimate pooled odds ratios (ORs) with their 95% coefficient interval, and I² was used to assess heterogeneity. (3) Results: A total of 14 publications from 6 different countries were included in this meta-analysis (9 cross-sectional and 5 cohort studies). For the cross-sectional studies, which included 62,693 adults, the pooled OR for the risk of MetS was 1.35 (95% CI 1.15, 1.58; I² 57%) when the highest versus the lowest categories of SSB consumption were compared. For the cohort studies, which included 28,932 adults, the pooled OR was 1.18 (95% CI 1.06, 1.32; I² 70%). (4) Conclusions: The consumption of SSBs was positively associated with an increased risk of MetS. The published literature supports public health strategies and the need to reduce the consumption of SSBs to prevent MetS.