Adult height is a summary measure of health and net nutrition in early childhood. This study examines the association between height and quality-of-life outcomes in older adults (50+) in India. Cross-sectional data from Wave 1 of the World Health Organization (WHO) Study on global AGEing and adult health (SAGE) conducted in 2007 were analysed. The association between height and quality of life was assessed using bivariate and multivariate logistic and linear regression models. The mean WHO quality-of-life score (WHO-QoL) increased from 45.2 among the older adults in the lowest height quintile to 53.2 for those in the highest height quintile. However, the prevalence of self-rated poor quality of life declined from 16.4% in the lowest height quintile to 6.1% in the highest height quintile. In the fully adjusted regression model, height was found to be positively associated with quality-of-life outcomes among both men and women, independent of socioeconomic and physical health confounders. The association was particularly strong for women. Women in the highest height quintile had a 2.65 point higher WHO-QoL score than those in the lowest height quintile. Similarly, the likelihood of reporting a poor quality of life was lower among women in the highest height quintile. Furthermore, measures of economic status, handgrip strength, cognitive ability and poor self-rated health were significantly associated with WHO-QoL and self-rated poor quality of life. Overall, this study revealed a significant association between height and quality of life among older adults in India, suggesting a significant role of childhood circumstances in quality of life in later life.

The association between body height and educational outcome, as measured by years of completed schooling, was investigated among Roma women in Serbia in 2014–2018. Height, demographic data, level of schooling and reproductive histories were collected from 691 Roma women aged between 16 and 80 years living in rural settlements in central and western Serbia. Multinomial logistic regression analysis showed that short stature was associated with an increased risk of low education, possibly as a result of poor growth and developmental disadvantage in early life. Roma cultural practices were also shown to influence the school achievement of these Roma girls: in addition to height, education was positively associated with a higher bride price and better socioeconomic status, as acquired through marriage. For Roma women, height might influence not only their level of education but also their lifetime prospects.

Human height is a highly heritable trait, with genetic factors explaining up to 90% of phenotypic variation. Vitamin D levels are known to influence several physiological processes, including skeletal growth. The vitamin D receptor (VDR) gene has been reported as contributing to variation in height. A meta-analysis of 13607 adult individuals found a small but significant association with the rs1544410 (BsmI) polymorphism. In contrast, the meta-analysis found no effect in a sample of 550 children. Two recent studies reported variants with large effect on height elsewhere in VDR (rs10735810 [FokI] and rs7139166 [-1521] polymorphisms). We genotyped large Caucasian samples from Australia (N = 3906) and the Netherlands (N = 1689) for polymorphisms in VDR. The Australian samples were twin families with height measures from 3 time points throughout adolescence. The Dutch samples were adult twins. We use the available family data to perform both within and between family tests of association. We found no significant associations for any of the genotyped variants after multiple testing correction. The (non-significant) effect of rs1544410 in the Australian adolescent cohort was in the same direction and of similar magnitude (additive effect 0.3cm) to the effect observed in the published adult meta-analysis. An effect of this size explains ~0.1% of the phenotypic variance in height — this implies that many, probably hundreds, of such variants are responsible for the observed genetic variation. Our results did not support any role for two other regions (rs10735810, rs7139166) of VDR in explaining variation in height.

Shorter than average adults are at a higher risk for obesity and are also more susceptible to diabetes and CVD, independent of BMI. In contrast, taller children have a higher risk of obesity. We hypothesised that short stature is related to adverse body composition and that the association between stature and obesity differs between generations. In a cross-sectional German database of 213 804 adults and 12 411 children and adolescents, the prevalence of overweight and obesity was compared between percentiles of height. The association between stature and percentage of fat mass (%FM), lean BMI (LBMI; kg/m2) or waist:hip ratio (in children only) was analysed within BMI groups. In adults, the prevalence of BMI >30 kg/m2 gradually increased with decreasing percentile of height whereas in children and adolescents, a positive association between height and weight status was observed. Short-stature women and girls had a 0·8–3·2 % lower %FM than tall subjects (P < 0·05), whereas no trend for %FM was observed in males. When compared with tall subjects, LBMI was 0·2–0·6 kg/m2 lower in short-stature men, as well as obese women (P < 0·05). There was a non-significant trend for a lower LBMI and a higher waist:hip ratio in shorter children. In conclusion, short stature is associated with an increased risk of obesity in adults. Cardiometabolic risk in short stature is not explained by an adverse body composition.

Analysis of the multiple correlations in body height within a sample of 117 monozygotic twin pairs and their spouses confirmed the existence of a high degree of assortative mating. However, the data also revealed an underlying asymmetry in the mate selection process. With respect to height, male twins were more selective than were members of female pairs, and among male twin pairs, those who were intermediate in height appeared to make the greatest contribution to the observed pattern of nonrandom mating. Because of their magnitude and potential asymmetry, the effects of phenotypic correlations between the spouses of related individuals must be correctly specified in any rigorous quantitative genetic analysis that extends beyond the nuclear family unit.