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Recent findings suggest that the distribution of protein intake throughout the day has an impact on various health outcomes in older adults, independently of the amount consumed. We evaluated the association between the distribution of dietary protein intake across meals and all-cause mortality in community-dwelling older adults. Data from 3225 older adults aged ≥ 60 years from the Seniors-ENRICA-1 cohort were examined. Habitual dietary protein consumption was collected in 2008-2010 and in 2012 through a validated diet history. Protein distribution across meals was calculated for each participant as the coefficient of variation (CV) of protein intake per meal, in sex-specific tertiles. Vital status was obtained from the National Death Index up to 30 January 2020. Cox proportional hazards regression was performed to determine the hazard ratios (HR) and their 95 % CI for the association between the distribution of daily protein intake across meals and all-cause mortality. Over a median follow-up of 10·6 years, 591 deaths occurred. After adjustment for potential confounders, the CV of total protein intake was not associated with all-cause mortality (HR and 95 % CI in the second and third tertile v . the lowest tertile: 0·94 (0·77, 1·15) and 0·88 (0·72, 1·08); P trend = 0·22). Similarly, the HR of all-cause mortality when comparing extreme tertiles of CV for types of protein were 0·89 (0·73, 1·10) for animal-protein intake and 1·02 (0·82, 1·25) for plant-protein intake. Dietary protein distribution across meals was not associated with all-cause mortality, regardless of protein source and amount, among older adults. Further studies should investigate whether this picture holds for specific causes of death.

It is unknown if time-restricted feeding confers a protective effect on the physical function of older adults. The aim of this study was to assess prolonged nightly fasting in association with performance-based lower-extremity function (LEF) in a large population of community-dwelling older adults. A cross-sectional study was carried out among 1226 individuals ≥64 years from the Seniors-ENRICA-II (Study on Nutrition and Cardiovascular Risk in Spain) cohort. Habitual diet was assessed through a validated diet history. Fasting time was classified into the following categories: ≤9, 10-11 and ≥12 h/d (prolonged nightly fasting). Performance-based LEF was assessed with the Short Physical Performance Battery (SPPB). After adjusting for potential confounders, a longer fasting period was associated with a higher likelihood of impaired LEF (OR for the second and third categories v. ≤ 9 h/d fasting: 2·27 (95 % CI 1·56, 3·33) and 2·70 (95 % CI 1·80, 4·04), respectively; Ptrend < 0·001). Fasting time showed a significant association with the SPPB subtests balance impairment (OR for highest v. shortest fasting time: 2.48; 95 % CI 1·51, 4·08; Ptrend = 0·001) and difficulty to rise from a chair (OR 1·47; 95 % CI 1·05, 2·06; Ptrend = 0·01). The risk associated with ≥12 h fasting among those with the lowest levels of physical activity was three times higher than among those with ≤9 h fasting with the same low level of physical activity. Prolonged nightly fasting was associated with a higher likelihood of impaired LEF, balance impairment, and difficulty to rise from a chair in older adults, especially among those with low levels of physical activity.

Although legumes are rich in protein and fibre, and low in saturated fat and Na, traditional legume-based recipes include substantial amounts of processed meat, salt and potatoes, which could counteract the potential benefits of legumes. This prospective study aimed to assess the longitudinal association of consumption of different types of legumes, and traditional legume-based recipes, with unhealthy ageing in older adults. Data were taken from 2505 individuals aged ≥60 years from the Seniors-ENRICA cohort. Habitual legume consumption was assessed in 2008-2010 with a validated diet history. Unhealthy ageing was measured in the 2013, 2015 and 2017 follow-up waves, with a fifty-two-item multidimensional health deficit accumulation index (DAI) which ranges from 0 (best) to 100 (worst health). The mean age was 68·7 years, with 53·1 % of women. Among study participants, 78·4 % reported consumption of legumes, with a mean intake of 57·9 g/d. Multivariable-adjusted linear regression models did not show an association between total legume consumption and the DAI over a 7-year follow-up (non-standardised coefficient for the second and highest v. the lowest tertile of consumption: 0·94 (95 % CI -0·30, 2·17) and 0·18 (95 % CI -1·07, 1·43), respectively; Ptrend = 0·35). Similar results were observed for the 3-year and 5-year follow-ups and, separately, for lentils, beans, chickpeas and traditional legume-based recipes. According to the results obtained, consumption of legumes and traditional legume-based recipes is not associated with unhealthy ageing and can be part of a healthy diet in old age.

Experimental research suggests that food timing is associated with weight regulation. However, the association between the distribution of energy intake (EI) throughout the day and weight gain in the population is uncertain. A cohort of 4243 individuals (49·9 % men, 50·1 % women) aged ≥18 years was selected in 2008-2010 and followed-up through 2012. At baseline, food consumption for a typical week in the previous year was collected with a validated dietary history, and EI was assessed at six eating occasions: breakfast, mid-morning meal, lunch, mid-afternoon meal, dinner and snacking (at any other moment). Individuals were classified into sex-specific quartiles of %EI for each eating occasion. The cut-off points for increasing quartiles of %EI at lunch were 34·4, 40·8 and 47·7 % in men and 33·2, 39·4 and 46·1 % in women. Weight was self-reported at baseline and at the end of follow-up. During a 3·5-year follow-up, 16·3 % of study participants gained >3 kg. Compared with those in the lowest quartile of %EI at lunch, the multivariate OR of gaining >3 kg was 0·79 (95 % CI 0·63, 0·99) in the second quartile, 0·82 (95 % CI 0·64, 1·04) in the third quartile and 0·62 (95 % CI 0·47, 0·80) in the highest quartile (P trend: 0·001). The association was stronger among women and those with overweight or obesity. No association was found between the %EI at the rest of the eating occasions and weight gain. In conclusion, a higher %EI at lunch was associated with a lower risk of weight gain; this may help weight control through the appropriate distribution of daily EI.

The dietary patterns of immigrants usually change with the duration of residence and progressively resemble those of the host country. However, very few studies have investigated individuals migrating to countries with a high-quality diet, such as the Mediterranean diet (MD), and none has yet focused on Latin-American immigrants. The present study examined the association of the duration of residence with obesity-related eating habits and dietary patterns among Latin-American immigrants residing in Spain. A cross-sectional study was conducted in 2008-10 in a representative sample of the adult population residing in Spain. Adherence to the MD was defined as a MD Adherence Screener score ≥ 9. Analyses were conducted by including 419 individuals aged 18-64 years born in Latin-American countries. Compared with immigrants residing in Spain for < 5 years, those residing for ≥ 10 years accounted for a lower percentage of individuals who habitually ate at fast-food restaurants and never trimmed visible fat from meat. Moreover, these immigrants were found to have a lower intake of sugary beverages and a higher intake of Na, saturated fat, fibre, olive oil, vegetables and fish and to more frequently strictly adhere to the MD. A longer duration of residence in Spain was found to be associated with both healthy and unhealthy changes in some eating habits and dietary patterns among Latin-American immigrants. Some of the healthy changes observed contrasted the 'Westernisation' of the diet reported in studies conducted in other Western countries. The results of the present study support the role of the food environment of the host country in the modification of the dietary patterns of immigrants.