The quest to decipher the determinants of human longevity has intensified with the rise in global life expectancy. Long-lived individuals (LLIs), who exceed the average life expectancy while delaying age-related diseases, serve as a unique model for studying human healthy aging and longevity. Longevity is a complex phenotype influenced by both genetic and non-genetic factors. This review paper delves into the genetic, epigenetic, metabolic, immune, and environmental factors underpinning the phenomenon of human longevity, with a particular focus on LLIs, such as centenarians. By integrating findings from human longevity studies, this review highlights a diverse array of factors influencing longevity, ranging from genetic polymorphisms and epigenetic modifications to the impacts of diet and physical activity. As life expectancy grows, understanding these factors is crucial for developing strategies that promote a healthier and longer life.
Humans ; Healthy Aging/physiology* ; Longevity/physiology* ; Epigenesis, Genetic ; Life Expectancy ; Exercise ; Aging/genetics* ; Diet ; Aged, 80 and over

PURPOSE: To evaluate the thickness and volume of the choroid in healthy Korean children using swept-source optical coherence tomography. METHODS: We examined 80 eyes of 40 healthy children and teenagers (<18 years) using swept-source optical coherence tomography with a tunable long-wavelength laser source. A volumetric macular scan protocol using the Early Treatment Diabetic Retinopathy Study grid was used to construct a choroidal thickness map. We also examined 44 eyes of 35 healthy adult volunteers (> or =18 years) and compared adult measurements with the findings in children. RESULTS: The mean age of the children and teenagers was 9.47 +/- 3.80 (4 to 17) vs. 55.04 +/- 12.63 years (36 to 70 years) in the adult group (p < 0.001, Student's t-test). Regarding the Early Treatment Diabetic Retinopathy Study subfields, the inner temporal subfield was the thickest (247.96 microm). The inner and outer nasal choroid were thinner (p = 0.004, p = 0.002, respectively) than the surrounding areas. The mean choroidal volumes of the inner and outer nasal areas were smaller (p = 0.004, p = 0.003, respectively) than those of all the other areas in each circle. Among the nine subfields, all areas in the children, except the outer nasal subfield, were thicker than those in adults (p < 0.05). Regression analysis showed that age, axial length, and refractive error correlated with subfoveal choroidal thickness (p < 0.05). CONCLUSIONS: Overall macular choroidal thickness and volume in children and teenagers were significantly greater than in adults. The nasal choroid was significantly thinner than the surrounding areas. The pediatric subfoveal choroid is prone to thinning with increasing age, axial length, and refractive error. These differences should be considered when choroidal thickness is evaluated in children with chorioretinal diseases.
Adolescent ; Adult ; Aged ; Aging/physiology ; Asian Continental Ancestry Group ; Axial Length, Eye/anatomy & histology ; Child ; Child, Preschool ; Choroid/*anatomy & histology ; Female ; Healthy Volunteers ; Humans ; Macula Lutea/anatomy & histology ; Male ; Middle Aged ; Republic of Korea ; *Tomography, Optical Coherence