Generational effects and gender height dimorphism in contemporary Spain

Current and past factors affecting the quality of aging in a sample of Spanish elderly

Aging is a multifactorial process influenced by both biological and sociocultural factors. The objective of this study was to identify current and past factors with an impact on the quality of aging in a sample of people 65 years of age or older born in the postwar period after the Spanish civil war. Socioeconomic, health, anthropometric, and food consumption data were collected in public Leisure Centers for the elderly in Madrid. The sample consists of 587 people (64.6% women), with a mean age of 71.8 ±5.3 years. Following the World Health Organization (WHO) guidelines regarding what is considered Healthy Aging, an index called the Index of Quality of Aging was calculated from four variables: the Mini Mental State Examination score, perception of health, satisfaction with life and the number of diseases that affect daily life. Another index called the Diet Inflammation Index was created based on the inflammatory or anti-inflammatory potential of different foods. The Index of Quality of Ageing was used as a dependent variable in linear regression models for men and women. Differences by gender were observed in the factors that influence the quality of aging. Education had a positive influence on men quality of ageing while it does not on women. In these, a relationship between the quality of the current diet and the quality of aging was observed.

Does democracy make taller men? Cross-country European evidence

We study whether a democracy improves a measure of individual wellbeing: human heights. Drawing on individual-level datasets, we test the democracy and height hypothesis using a battery of eight different measures of democracy and we account for several potential confounders, regional and cohort fixed effects. We document that democracy - or its quality during early childhood - shows a strong and positive conditional correlation with male, but not female, adult stature. Our preferred estimates suggest that being born in a democracy increases average male stature from a minimum of 1.33 to a maximum of 2.4 cm. We also show a positive association when democracy increases from childhood to adolescence, and when we adopt measures of existing democratic capital before birth, and at the end of height plasticity in early adulthood. We also document that democracy is associated with a reduction in inequality of heights distribution. Our estimates are driven by period-specific heterogeneity, namely, early democratizations are associated with taller people more than later ones. Results are robust to the inclusion of countries exposed to communism.

Early-life disease environment and adult height in historical populations

Nutrition and the incidence of diseases during early life are considered environmental factors that determine people's height when they become adults. While there is extensive literature focusing on the relationship between physical growth, general mortality and infant mortality rates, few studies analyse the impact of certain disease groups on the final height of historical populations. Using regional mortality rates by causes of death, the main objective of this study is to determine the onset of the disease environment during early life for populations born in Spain between 1916 and 1930, and its relationship with the stature reached at 21 years of age. A population-averaged model is performed on epidemic-infectious, gastrointestinal, and congenital diseases during the gestation period and first year of life. The disease burden in early life had a statistically significant negative effect on adult stature. These results support the premise that an improvement in the disease environment could lead to a greater number of short children surviving and therefore a decrease in the average height.

Assessing the effects of autarchic policies on the biological well-being: Analysis of deviations in cohort male height in the Valencian Community (Spain) during Francoist regime

This article aims to assess the impact of autarchic policies on the biological dimensions of human well-being during Francoist regime in Spain. This is done by examining the nutritional status of the population through the study of male adult heights. Our case study is the Valencian Community with the focus on the period 1940-59 which witnessed the implementation of such policies. The heights of 21-year old draftees born between 1900 and 1954 from nine municipalities (N = 87,510) were analyzed in the light of inter-cohort deviations from a secular trend established for cohorts that were not exposed to autarchy-related hardships. Height was regressed on infant mortality as a way to control for infection and therefore approach the net effect of nutrition on height outcomes. Contrarily to what was displayed by cohort height trends in themselves, the results reveal a significant worsening of the nutritional status of the male population at the time. Deviations from the expected height trend across municipalities ranged between -0.5 and -3.4 mm per year. The effects of malnutrition are found to be larger among cohorts born in the period 1920-34 in coherence with a longer exposure to autarchy hardships during adolescence. Pre-autarchy nutrition levels observed among the cohorts of 1900-14 were not regained until the cohorts 1945-49. The results also show that malnutrition had an unequal impact with the large industrial towns of our sample experiencing the poorest height outcomes. Overall, these results invite to revise conclusions obtained from the sole evidence of height trends and they question the efficiency of intervention policies implemented in Spain during the 1940s.

A longitudinal study of height gaps among Mexican children: Disparities and social inequity

RATIONALE

Health outcomes such as height are important determinants of social inequities.

OBJECTIVE

We assess height gaps in Mexico among boys and girls from distinct subpopulation groups over time.

METHOD

We use longitudinal data from the first three waves of the Mexican Family Life Survey (MxFLS) to analyze children's height differentials by gender and by indigenous and poverty status over 7-10 years. We control for children's characteristics, household factors, and mother's height and use the Blinder-Oaxaca Decomposition method to explain disparities in children's height across the three waves of the MxFLS.

RESULTS

The main findings suggest that height inequalities among indigenous and extremely poor boys and girls, compared with their non-indigenous and less socioeconomically disadvantaged counterparts, are persistent. The results also reveal that height disparities among girls are consistently greater than those among boys in similar population groups and that height gaps increase over time for girls.

CONCLUSIONS

These findings indicate the relevance of social and economic determinants on children's growth potential and the need to examine the association of social determinants on health outcomes. They also underscore the necessity to design and implement public policies that consider a gender perspective.

Transitions that Matter? Czechoslovakia's Break up and Human Stature

Changes in a population’s average stature are virtuous pointers of wellbeing which are sensitive to improvements in psychosocial environments during childhood. A major structural change that could have altered an environment during childhood is the transition from communist to a liberal democracy, and, more specifically, the meltdown of the Soviet bloc provides for a quasi-natural experiment. This paper examines the trends in heights in the Czech Republic and Slovakia before and after the transition and the subsequent break-up of the Czechoslovakian federation. We find that one additional year of exposure to a liberal democracy while growing up is associated with an increasing population stature of 0.28 cm among Slovaks and 0.15 cm among Czechs. We only find changes in stature among men who are more sensitive to environmental stress, especially at the lower end of the current socio-economic status. Results are robust to alternative datasets and measures of democracy.

Height development of men and women from China, South Korea, and Taiwan during the rapid economic transformation period of the 1960s-1980s

We study height trends among Chinese, South Korean, and Taiwanese groups during the rapid economic growth period of the 1960s to the 1980s. Heights rose strongly as income grew. Did rapid income growth also cause a decline in gender inequality? Or did it rise because the gains were unevenly distributed? Gender inequality is particularly interesting given the traditionally strong son preference in the region. For mainland China, we find that gender inequality was relatively modest in the pre-reform period (before the 1980s). Especially in comparison to the early 20th century, female heights grew faster than male heights. In contrast, the 1980s transition period to an economic system with market elements was characterized by increasing gender inequality in China. This was the case to an even greater extent in South Korea, where gender dimorphism noticeably increased during the 1980s, paralleling a similar increase in sex-selective abortions. Moreover, we also study other inequality patterns in the three countries, focusing on socioeconomic, regional, and educational differences between groups.

Good Things for Those Who Wait: Predictive Modeling Highlights Importance of Delay Discounting for Income Attainment

Income is a primary determinant of social mobility, career progression, and personal happiness. It has been shown to vary with demographic variables like age and education, with more oblique variables such as height, and with behaviors such as delay discounting, i.e., the propensity to devalue future rewards. However, the relative contribution of each these salary-linked variables to income is not known. Further, much of past research has often been underpowered, drawn from populations of convenience, and produced findings that have not always been replicated. Here we tested a large (n = 2,564), heterogeneous sample, and employed a novel analytic approach: using three machine learning algorithms to model the relationship between income and age, gender, height, race, zip code, education, occupation, and discounting. We found that delay discounting is more predictive of income than age, ethnicity, or height. We then used a holdout data set to test the robustness of our findings. We discuss the benefits of our methodological approach, as well as possible explanations and implications for the prominent relationship between delay discounting and income.

Determinants of height and biological inequality in Mediterranean Spain, 1859-1967

This article analyses not only the determinants of the height of Spain's male populations between 1859 and 1960 but also the influence that social inequality had upon biological well-being. The height data of 82,039 conscripts constitute the principal source for this analysis. The study area comprises the current Valencian region, located in central Mediterranean Spain. During the period under study, the average height of conscripts increased by 7.5cm, while the coefficient of variation decreased by 0.6 between the 1870s and 1930 indicating that height inequality declined, although it increased by 0.2 among the cohorts born during the period of Francoist regime. Our results show that, in the long run, the height and biological well-being of the populations conscripted in Mediterranean Spain were determined by socioeconomic status and environmental contexts: that there was a close correlation among education, occupation, income, and stature. Literate conscripts were always taller than illiterate ones (by nearly 1cm), and agricultural workers, with fewer economic resources, were significantly shorter (by 3.6cm) than highly qualified non-manual workers.

The health transition and biological living standards: adult height and mortality in 20th-century Spain

This paper seeks new insights concerning the health transition in 20th century Spain by analyzing both traditional (mortality-based) and alternative (anthropometric-based) health indicators. Data were drawn from national censuses, vital and cause-of-death statistics and seven National Health Surveys dating from 1987 to 2006 (almost 100,000 subjects aged 20-79 were used to compute cohort height averages). A multivariate regression analysis was performed on infant mortality and economic/historical dummy variables. Our results agree with the general timing of the health transition process in Spain as has been described to date insofar as we document that there was a rapid improvement of sanitary and health care related factors during the second half of the 20th century reflected by a steady decline in infant mortality and increase in adult height. However, the association between adult height and infant mortality turned out to be not linear. In addition, remarkable gender differences emerged: mean height increased continuously for male cohorts born after 1940 but meaningful improvements in height among female cohorts was not attained until the late 1950s.

The relationship between height and economic development in Spain, 1850-1958

We investigate the relationship between height and some economic-development indicators in modern Spain by means of a recently constructed times series of data on conscripts. We estimate a Vector Autoregressive Equilibrium Correction Model (VECqM) to quantify the height and GDP per capita response to various living-standard indicators. We observe that conditions that perpetuate an elevated level of sickness and mortality and that raise the relative price of consumption goods tend to impede human growth, as reflected in a decline in average adult height, whereas factors that promote the purchase of health services and that help to open up the economy to international trade and ideas have tended to have an opposite effect from the 1850s onward. Our results also indicate that neither the level of per capita GDP nor its growth rate has a unidirectional relation to various measures of living standards, chiefly adult stature. Instead, our findings suggest that there may be behavioral factors (e.g., emphasis on health services), political factors (e.g., degree of openness), and economic factors (e.g., relative consumer costs to GDP deflator) whose affects may have been influenced the level of GDP, over the sample period.

Trends in the association between height and socioeconomic indicators in France, 1970-2003

Average physical stature has increased dramatically during the 20th century in many populations across the world with few exceptions. It remains unclear if social inequalities in height persist despite improvements in living standards in the welfare economies of Western Europe. We examined trends in the association between height and socioeconomic indicators in adults over three decades in France. The data were drawn from the French Decennial Health Surveys: a multistage, stratified, random survey of households, representative of the population, conducted in 1970, 1980, 1991, and 2003. We categorised age into 10-year bands, 25-34, 35-44, 45-54 and 55-64 years. Education and income were the two socioeconomic measures used. The slope index of inequality (SII) was used as a summary index of absolute social inequalities in height. The results show that average height increased over this period; men and women aged 25-34 years were 171.9 and 161.2 cm tall in 1970 and 177.0 and 164.0 cm in 2003, respectively. However, education-related inequalities in height remained unchanged over this period and in men were 4.48 cm (1970), 4.71 cm (1980), 5.58 cm (1991) and 4.69 cm (2003), the corresponding figures in women were 2.41, 2.37, 3.14 and 2.96 cm. Income-related inequalities in height were smaller and much attenuated after adjustment for education. These results suggest that in France, social inequalities in adult height in absolute terms have remained unchanged across the three decades under examination.

Sex differences in obesity rates in poor countries: evidence from South Africa

Globally, men and women face markedly different risks of obesity. In all but of handful of (primarily Western European) countries, obesity is much more prevalent among women than men. We examine several potential explanations for this phenomenon. We analyze differences between men and women in reports and effects of potential underlying causes of obesity-childhood and adult poverty, depression, and attitudes about obesity. We evaluate the evidence for each explanation using data collected in an urban African township in the Cape Town metropolitan area. Three factors explain the greater obesity rates we find among women. Women who were nutritionally deprived as children are significantly more likely to be obese as adults, while men who were deprived as children face no greater risk. In addition, women of higher adult socioeconomic status are significantly more likely to be obese, which is not true for men. These two factors - childhood circumstances and adult SES - can fully explain the difference in obesity rates between men and women that we find in our sample. More speculatively, in South Africa, women's perceptions of an 'ideal' female body are larger than men's perceptions of the 'ideal' male body, and individuals with larger 'ideal' body images are significantly more likely to be obese.