Secular trends and regional pattern in body height of Austrian conscripts born between 1961 and 2002.

The human growth process is influenced not only by genetic factors but also by environmental factors. Therefore, regional differences in mean body heights may exist within a population or a state. In the present study, we described and evaluated the regional trends in mean body heights in the nine Austrian provinces over a period spanning more than four decades. Body height data of 1734569 male conscripts born in Austria with Austrian citizenship between 1961 and 2002 were anonymized and analyzed. From 1961 to 2002 birth cohorts, an overall increase in the mean body height of Austrian recruits was observed, although regional differences were evident. Regions with shorter body heights in the 1961-1963 birth cohorts showed a particularly pronounced increase in mean body heights. Meanwhile, the course of body height growth in the capital city, Vienna, was striking, where the highest body heights were documented for the 1961-1963 birth cohorts. In Vienna, mean body heights continued to decline until the 1984 birth cohort and increased again from the 1988 birth cohorts. In addition to economic factors, increased stress factors in an urban environment and a form of urban penalty are discussed as causes.

Lower educational level remains associated with lower body height among Austrian conscripts born from 1961 through 2002.

Growth patterns and final body height are influenced by genetic and socio-environmental factors. A major impact of education on growth has been documented. Body height increases with an increasing educational level.The present study focuses on the association patterns between body height and educational level among 1,734,569 Austrian male conscripts aged 17 to <19 born between 1961 and 2002. Four levels of education were classified to examine their association with body height. Over 42 years, the percentage of conscripts at the lowest educational level decreased dramatically from 37.5% to 1.7%. All educational classes showed increasing body heights over time. Despite a marked improvement in the living standard, body heights at different educational levels did not converge. In Austria, educational and social advancement was associated with higher population body heights. Young men at the lowest educational level, however, remain shorter and their body height gap to the highest educational level has widened.

Prevalence and trends in obesity among Austrian conscripts from 1983 to 2017.

This article describes the recent prevalence and trend in weight status in young men over three and half decades among Austrian conscripts overall and by subgroups defined by education and smoking behavior. We extracted medical record data from six medical examination stations across the country of all Austrian military conscripts (aged 17-19 years) recruited between 1983 and 2017 (n = 1.5 million). Weight and height were measured to calculate body mass index (BMI). Mean BMI increased from 22.7 to 24.3 kg/m2 between 1983 and 2017. Over time, the prevalence of obesity (BMI ≥ 30 kg/m2) increased from 1.6% (95% CI 1.6-1.7%) to 8.2% (95% CI 8.1-8.3%). The prevalence of obesity among Austrian young men increased remarkably in the past 35 years. Higher levels of education appeared to be associated with lower prevalence of obesity, particularly among the non-smokers.

An increase in the developmental tempo affects the secular trend in height in male Austrian conscripts birth cohorts 1951-2002.

OBJECTIVES: Using population-based data on height in Austria from birth cohort 1951 to 2002, we aim to evaluate the secular trends in height and developmental tempo among Austrian young men. METHODS: Data were obtained from the Austrian conscription medical examination. We included 1 205 112 conscripts (18-<20 years) who were born between 1951 and 2002 and 853 645 conscripts (17-<19 years) who were born between 1961 and 2002. Height was measured during the medical examination and was used to evaluate the secular trends of mean height over time. Furthermore, the mean difference in height between conscripts of 17- and 18 years old were compared across birth cohorts. RESULTS: The mean height of conscripts aged 17 years increased by 2.2 cm (p < .0001) in between 1961 and 2002. The mean height of conscripts aged 18 years increased by 4.3 cm (p < .0001) between 1951 and 2002. However, the increase in mean height has slowed down since the 1970 s. The difference in mean height between 17 and 18 years old widened from about 0.1 cm in 1961 to 0.3 cm around 1970 and then steadily narrowed again to 0.1 cm at the end of the study period. CONCLUSIONS: The increasing trend in height slows at the end of the 20th century, the developmental tempo at the population level, however, continued to increase. The difference in mean height between 17 and 18 years old narrowed, which may indicate that young men reached their final height earlier.

Thirty-five-year trend in the prevalence of refractive error in Austrian conscripts based on 1.5 million participants.

BACKGROUND: To quantify the current burden of myopia and hyperopia in Austrian young men and the time trend of myopia in the past 35 years by individual and social correlates. METHOD: We included data on all Austrian military conscripts from 1983 to 2017 (n=1 507 063) from six medical investigation stations. Young men provided data on education, weight and height for calculating body mass index, blood pressure and resting heart rate. Non-cycloplegic refractions were measured by an autorefractometer. Spherical equivalent was calculated by standard formula (sphere+cylinder/2, unit dioptres (D)). Myopic refractive error was defined as <-0.5 D). Hyperopic refractive error was defined as >0.5 D. RESULTS: The largest burden of refractive error in Austria is myopia, which rose from 13.8% to 24.4% over 35 years, with less than 5% hyperopic population. Over time, the prevalence of myopia was constantly lower yet increased more rapidly among those with low education levels (11.4%-21.7%) compared with those with higher education (24.5%-29.6%) in all medical investigation stations. We found consistent associations of some unfavourable health indicators (underweight: ORs 1.1-1.4, higher resting heart rate: all p trend <0.001) with higher myopia prevalence, which point towards lifestyle factors playing an important role in the development of myopia. CONCLUSION: Primary preventive measures are needed to curb the observed trend in myopia among Austrian young men. Future research should investigate the impact of modifiable factors on myopia development and progression, particularly lifestyle factors that are dramatically shifting.