Despite evidence suggesting the importance of psychological resilience for successful aging, little is known about the relationship between diet quality and resilience at different ages. Our study aims to examine the association between diet quality and resilience across the stages of adulthood. Using Stanfords\' WELL for Life (WELL) survey data, we conducted a cross-sectional study of diet quality, resilience, sociodemographic, perceived stress, lifestyle, and mental health factors among 6171 Bay Area adults. Diet quality was measured by the WELL Diet Score, which ranges from 0-120. A higher score indicates a better diet quality. Linear regression analysis was used to evaluate the association between the WELL Diet Score and overall resilience and within the following age groups: early young (18-24), late young (25-34), middle (35-49), and late adulthood (≥50). To test whether these associations varied by age groups, an age group by resilience interaction term was also examined. In the fully adjusted model, the WELL Diet Score was positively and significantly associated with overall resilience (all ages (β = 1.2 ± sd: 0.2, p < 0.001)) and within each age group (early young (β = 1.1 ± sd: 0.3, p < 0.001); late young (β = 1.2 ± sd: 0.3, p < 0.001); middle (β = 0.9 ± sd: 0.3, p < 0.001); and late adulthood (β = 1.0 ± sd: 0.3, p < 0.001)). Young adults demonstrated the strongest associations between diet quality and resilience. However, there were no significant age-by-resilience interactions. Diet quality may be positively associated with resilience at all stages of adulthood. Further research is needed to determine whether assessing and addressing resilience could inform the development of more effective dietary interventions, particularly in young adults.

The green building industry has significantly impacted the construction market, providing various sustainable solutions for the community. However, conventional green building standards have yet to adequately address occupant health and well-being, leading to challenges with performance. This has caused many businesses to take note of the latest report from the Bureau of Labour Statistics, which indicated that productivity in the US has dropped by the sharpest level since the 1940s. 1 Addressing these issues, organisations like International WELL Building Institute (IWBI) developed WELL Building Rating System (WELL), prioritising occupant health and well-being as critical components for improving performance and avoiding potential vulnerabilities brought about by sickness or pandemics. For this reason, this study will explore how to improve employee productivity within office buildings by bettering their overall health and well-being.
A comprehensive data collection approach was employed in this paper, involving the analysis of office form evolution, and the evaluation of productivity attributes in office spaces. Resulting in identifying the top design-oriented features impacting employee productivity. Data was gathered from traditional office designs, trending successful office buildings, and the WELL Building Rating System to understand the concept of healthy building design.
Showing thermal comfort, ventilation, and natural daylight significantly influence employees\' productivity. Implementing conducted design features from WELL achieved an average of 20.2%-35.6% decrease in thermal gain throughout the year, a 20% increase in airflow, an average 2.4%-6.5% decrease in Air temperature, enhanced temperature distribution by 7%, and direct sunlight minimum reduction by 9% in Winter and maximum 21.9% in Spring.
New design features in trending successful office buildings positively impact employee productivity. Particularly the outlined features by WELL Building Rating System led to identifying the most influential factors affecting occupant productivity. The results of this study informed recommendations for enhancing productivity in existing office buildings in Alexandria, Egypt.

OBJECTIVE: The aim of this study is to analyse levels of selected heavy metals: chromium (Cr), cadmium (Cd), copper (Cu), manganese (Mn), and lead (Pb), and to recognize factors related to wells\' stewardship.
METHODS: The pilot study was realized in May 2018 in three villages in northwest of Slovakia. We analysed 69 water samples from private wells. The data on wells and well owners were obtained by self-administered questionnaire. The samples were analysed by atomic absorption spectroscopy with graphite furnace GF AAS (AAS GBC XplorAA 5000 with GBC GF 5000) equipped with hollow cathode lamps. Levels of heavy metals were compared with parametric values for drinking water stated in the Resolution of the Ministry of Health of the Slovak Republic No. 247/2017 Coll.
RESULTS: The results indicated spatial variability in some heavy metal levels. Cadmium was not quantified in any sample. Copper and chromium levels were below the parametric value. Parametric values for manganese and lead were exceeded in 19 (27.5%) and 2 (2.9%) samples, respectively. Only 18 owners tested water quality. Busyness and financial cost most frequently discouraged users to carry out the water quality analysis.
CONCLUSIONS: The presence of heavy metals in well water can pose a serious public health problem, especially in rural areas without public water supply. Education on heavy metals\' risks targeted at well owners could increase the awareness of the issue and minimize possible public health consequences.

Falls are a traumatic event that represents a major public health problem worldwide. The literature is rich in published studies of falls from heights, but only a few articles have focused on falls into wells. The region of Kairouan, in central Tunisia, is characterized by an arid climate, hence the abundance of wells for watering crops. In this study, 72 cases of deadly falls into wells were retrospectively investigated at the Department of Forensic Medicine in Kairouan over eight years (01/01/2008 to 31/12/2015). A male predominance was found (sex ratio of 2.42), with a mean age of 29 ± 16.1 years. Sixty-five cases (90.3%) were from rural areas, 62.5% had a low level of education, and 50% were unemployed. In our series, the deceased fell from a distance between 3 and 70 meters with an average of 28.3 m. The falls occurred into functional wells in 61.1%, which were filled with water in 51.4%, and were unprotected in 88.9%. Autopsy findings showed bone fractures in 51.4% of cases of which 44.4% were rib fractures. Visceral injuries were identified in 55.6% of cases. The predominant manner of death was suicide (73.2%), and severe polytrauma was the most frequent cause of death (52.8%). This study highlights the need for increased safety measures to keep wells covered and protected in order to prevent these falls.

OBJECTIVE: The aim of this study was to identify subgroups of retirement age older adults with respect to their lifestyle patterns of eating, drinking, smoking, physical activity and TV viewing behaviors, and to examine the association between these patterns and socio-demographic covariates.
METHODS: The sample consisted of 3133 older adults aged 55-65 years from the Wellbeing, Eating and Exercise for a Long Life (WELL) study, 2010. This study used latent class analysis (stratified by sex), with a set of lifestyle indicators and including socio-demographic covariates. Statistical analyses were performed by generalized linear latent and mixed models in Stata.
RESULTS: Two classes of lifestyle patterns were identified: Healthy (53% men and 72% women) and less healthy lifestyles. Physical activity, TV-viewing time, and fruit intake were good indicators distinguishing the \"Healthier\" class, whereas consumption of vegetables, alcohol (men) and fast food (women) could not clearly discriminate older adults in the two classes. Class membership was associated with education, body mass index, and self-rated health.
CONCLUSIONS: This study contributes to the literature on lifestyle behaviors among older adults, and provides evidence that there are meaningful sex differences in lifestyle behaviors between subgroups of older adults. From a policy perspective, understanding indicators or \"markers\" of healthy and less healthy lifestyle patterns is important for identifying target groups for interventions.