Obese older people are more likely to be frail than those with a normal body mass index (BMI), but the results of individual studies have been inconsistent. We conducted a systematic review and meta-analysis to clarify the association between obesity and the risk of frailty, and whether there was a relationship between BMI and frailty, in community-dwelling older adults aged ≥60 years. https://www.selleckchem.com/EGFR(HER).html Eight databases (PubMed/MEDLINE, EMBASE, EBSCO, CINAHL, Scopus, Cochrane Library and Web of Science) were systematically searched from inception to August 2020. Relative risks for incident frailty were pooled using a random-effects model. We found a positive association between abdominal obesity and frailty [relative risk (RR) = 1.57, 95% confidence interval (CI) 1.29-1.91, I2 = 48.1%, P = 0.086, six observational studies, 18,764 subjects]. People in the higher category of waist circumference had a pooled 57% higher risk of frailty than those with a normal waist circumference. In addition, a total of 12 observational studies comprising 37,985 older people were included in the meta-analysis on the relationship between BMI and the risk for frailty. Taking the normal BMI as the reference group, the pooled RR of frailty risk ranged from 1.45 (95% CI 1.10-1.90, I2 = 83.3%; P  less then  0.01) for the underweight group, to 0.93 (95% CI 0.85-1.02, I2 = 34.6%; P = 0.114) for the overweight group and to 1.40 (95% CI 1.17-1.67, I2 = 86.1%; P  less then  0.01) for the obese group. We have shown that obesity or underweight is associated with an increased risk of frailty in community-dwelling older adults.Why people of the same age show differences in age-related functional decline and whether biological aging can be slowed down through lifestyle changes and therapeutics are active research topics. Molecular tools that predict biological age based on DNA methylation markers, known as epigenetic clocks, are facilitating these efforts. In this issue, Kresovich et al. (Am J Epidemiol. 2021;190(6)984-993) investigated a cohort of non-Hispanic White women, demonstrating positive relationships between adiposity measures and the ticking rate of epigenetic clocks in blood. This commentary emphasizes that integrating molecular and genetic epidemiology approaches is crucial to dissecting the complex relationship between obesity and epigenetic aging. The early-life period is explored as a unique opportunity to gain novel insights into links between developmental processes and aging in later life. Last, the landscape of the next frontier in aging research is described in light of the imperative for transdisciplinary approaches to outline a shared vision and public health implementation dilemmas. Since the emergence of the COVID-19 pandemic facecovers have become a common sight. The effect of facecovers on the gaze when looking at faces has not been assessed yet. The aim of the present study is to investigate a potential difference in eye movement pattern in observes which are exposed to images showing a face without and with facecover to identify if there is truly a change of gaze when identifying (masked) facial features. The eye movement of a total of 64 study participants (28 males and 36 females) with a mean age of 31.84±9.0 years was analyzed in this cross-sectional observational study. Eye movement analysis was conducted based on positional changes of eye features within an x- and y- coordinate system while two images (face without/with facecover) were displayed for 8 seconds. The results of this study revealed that the sequence of focussing on facial regions was not altered when wearing a facecover and followed the sequence perioral, nose, periorbital. Wearing a facecover significantly increased the time of focussing on the periorbital region and increased also the number of repeated eye fixations during the interval of visual stimulus presentation. No statistically significant differences were observed between male and female participants in their eye movement pattern across all investigated variables with p > 0.433. Aesthetic practitioners could utilized the presented data and develop marketing and treatment strategies which majorly target the periorbital area understanding the altered eye movement pattern in times of COVID-19. Aesthetic practitioners could utilized the presented data and develop marketing and treatment strategies which majorly target the periorbital area understanding the altered eye movement pattern in times of COVID-19. Replacement of conventional staples with biofortified or industrially fortified staples in household diets may increase maternal breast milk retinol content and vitamin A intakes from complementary foods, improving infant total body stores (TBS) of vitamin A. To determine whether biofortified or industrially fortified maize consumption by Zambian women and their breastfeeding infants could improve milk retinol concentration and infant TBS. We randomly assigned 255 lactating women and their 9-mo-old infants to a 90-d intervention providing 0 µg retinol equivalents (RE)/d as conventional maize or ∼315 µg RE/d to mothers and ∼55 µg RE/d to infants as provitamin A carotenoid-biofortified maize or retinyl palmitate-fortified maize. Outcomes were TBS, measured by retinol isotope dilution in infants (primary), and breast milk retinol, measured by HPLC in women (secondary). The intervention groups were comparable at baseline. Loss to follow-up was 10% (n=230 mother-infant pairs). Women consumed 92% of the intn. This did not translate into greater infant TBS, most likely due to adequate TBS at baseline. This trial was registered at clinicaltrials.gov as NCT02804490.In the causal mediation framework, several parametric regression-based approaches have been introduced in past years for estimating natural direct and indirect effects. For a binary outcome, a number of proposed estimators use a logistic model and rely on specific assumptions or approximations that may be delicate or not easy to verify in practice. To circumvent the challenges prompted by the rare outcome assumption in this context, an exact closed-form natural effects estimator on the odds ratio scale was recently introduced for a binary mediator. In this work, we further push this exact approach and extend it for the estimation of natural effects on the risk ratio and risk difference scales. Explicit formulas for the delta method standard errors are provided. The performance of our proposed exact estimators is demonstrated in simulation scenarios featuring various levels of outcome rareness/commonness. The total effect decomposition property on the multiplicative scales is also examined. Using a SAS macro provided, we illustrate our approach to assess the separate effects of treatment to inhaled corticosteroids and placental abruption on low birthweight mediated by prematurity.