SummaryThe aim of the study was to assess the relationship between adverse life events, a tendency to respond with a high level of anxiety, and height and adiposity of adolescents. The sample included 575 persons aged 10–15 from the Wielkopolska region of Poland. The influence of adverse events during the 6 months before the examination and anxiety trait, as assessed with a STAIC questionnaire, on body height and BMI was analysed. Also sex, age, chronic diseases and socioeconomic status indicators were (...) assessed. One-way and two-way ANOVA was used for assessment of relationships. Adverse events had no influence on body height and BMI. Subjects with a high level of anxiety trait were shorter than subjects with a normal level of anxiety trait. The association of anxiety trait and body height was significant after adjustment for sex, age, chronic diseases and history of adverse life events. The analysis showed no statistically significant influence of adverse life events on height and BMI and a significant relationship between the general tendency to respond with anxiety and body height of adolescents. This suggests that psychological characteristics associated with the cognitive tendency to interpret events as threatening, and consequently, to respond with stress, may be involved in the variability of biological traits regardless of the objective harmfulness of the situation. (shrink)

SummaryHuman height is a heritable trait that is known to be influenced by environmental factors and general standard of living. Individual and population stature is correlated with health, education and economic achievement. Strong sexual selection pressures for stature have been observed in multiple diverse populations, however; there is significant global variance in gender equality and prohibitions on female mate selection. This paper explores the contribution of general standard of living and gender inequality to the variance in global female population heights. (...) Female population heights of 96 nations were culled from previously published sources and public access databases. Factor analysis with United Nations international data on education rates, life expectancy, incomes, maternal and childhood mortality rates, ratios of gender participation in education and politics, the Human Development Index and the Gender Inequality Index was run. Results indicate that population heights vary more closely with gender inequality than with population health, income or education. (shrink)