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Nonagenarians are a fast-growing population deserving specific research. We explored the prevalence and characteristics of functionally independent nonagenarians from a rural community-dwelling Italian population. Data were collected in the Mugello Study; 475 persons aged ≥90 years (median age, 92) underwent a home-based clinical and functional assessment, including psychosocial, clinical, functional, and lifestyle history and status and physical and instrumental examinations. Sixty-eight (15%) persons reported no need for help in basic and instrumental daily living activities. Among variables significantly associated with independent functionality after age- and gender-adjusted cross-sectional analysis, lower body mass index (BMI; p = .034) and depressive symptoms ( p = .028), higher current physical activity ( p < .001), better cognitive status ( p = .033), and lower medication intake ( p = .048) were associated with reporting no disability in the logistic regression analysis. Disability was mainly associated with current lifestyle-related potentially modifiable factors. Thus, lifestyle-oriented multidimensional interventions, should be developed and evaluated for their potential effects on functionality, even in the oldest old.

Background and aims Reduced sleep quality is common in advanced age. Poor sleep quality is associated with adverse outcomes, chiefly cardiovascular, in young and middle-aged subjects, possibly because of its association with metabolic syndrome (MetS). However, the correlates of sleep quality in oldest populations are unknown. We evaluated the association of sleep quality with MetS in a cohort of subjects aged 90+. Methods and results We analysed data of 343 subjects aged 90+ living in the Mugello area (Tuscany, Italy). Quality of sleep was assessed using the Pittsburgh Sleep Quality Assessment Index (PSQI). Good quality of sleep was defined by a PSQI score .050). However, an increasing number of MetS components was associated with increasing probability of good quality of sleep (P for trend = .002), and of PSQI below the median (P for trend = .007). Generalized Additive Model analysis documented no smoothing function suggestive of nonlinear association between PSQI and MetS. Conclusion Our results confirm a high prevalence of poor sleep quality in oldest age; however, in these subjects, MetS seems to be associated with better sleep quality. Additional larger, dedicated studies are required to confirm our results, and, if so, to identify the subsystems involved and the potential therapeutic implications of such an association.

Background Health, as defined by the WHO, is a multidimensional concept that includes different aspects. Interest in the health conditions of the oldest-old has increased as a consequence of the phenomenon of population aging. This study investigates whether (1) it is possible to identify health profiles among the oldest-old, taking into account physical, emotional and psychological information about health, and (2) there are demographic and socioeconomic differences among the health profiles. Methods Latent Class Analysis with covariates was applied to the Mugello Study data to identify health profiles among the 504 nonagenarians residing in the Mugello district (Tuscany, Italy) and to evaluate the association between socioeconomic characteristics and the health profiles resulting from the analysis. Results This study highlights four groups labeled according to the posterior probability of determining a certain health characteristic: “healthy”, “physically healthy with cognitive impairment”, “unhealthy”, and “severely unhealthy”. Some demographic and socioeconomic characteristics were found to be associated with the final groups: older nonagenarians are more likely to be in worse health conditions; men are in general healthier than women; more educated individuals are less likely to be in extremely poor health conditions, while the lowest-educated are more likely to be cognitively impaired; and office or intellectual workers are less likely to be in poor health conditions than are farmers. Conclusions Considering multiple dimensions of health to determine health profiles among the oldest-old could help to better evaluate their care needs according to their health status.

True umbilical cord knot appears to be a relatively common complication that occurs in 0.3%-1.3% of all pregnancies and it is correlated with an increased incidence of SGA infants, premature birth, need for neonatal intensive care and fetal death. The aim of the article was to evaluate the incidence of the true umbilical cord knot in the University Emergency Hospital, Bucharest, for a period of 5 years and its association with premature birth, low birth weight, low Apgar score at 1 minute and the need for neonatal intensive care. By reviewing the total number of women who delivered in this unit between January 1st 2011 and December 31st 2015, the percentage of the diagnosis antepartum and intrapartum, the outcome of these pregnancies, and the reflection of this condition on the fetal status, were evaluated. During 5 years, 133 (0.71%) of 18.500 deliveries were diagnosed with true umbilical cord knot, only 16 (0.08%) cases were diagnosed by ultrasound antepartum. The mean maternal age was 34.3 years. About 30% of the studied cases (39) presented this condition at the third delivery or more. A personal history for diabetes corresponded to 27 cases (20.3%). From our database, it resulted that only 12 fetuses (10.5%) required neonatal intensive care and presented an Apgar score lower than 7 at 1 minute. Prenatal diagnosis of a true umbilical cord knot is rarely encountered and sonography skills are needed. Complementary methods such as color Doppler and 3D HD Flow are reliable for the diagnostic when true umbilical cord knots are suspected after a 2D scan. Several risk factors can guide the expectancy, such as advanced maternal age, polyhydramnios, multiparty or diabetes.