Introduction
Season of birth, a marker of environmental exposures during early life, has been associated with a wide range of outcomes later in life, including health conditions, anthropometric and life-history traits (reviewed by Reference Gaml-Sørensen, Brix and Ernst1–Reference Chmielewski and Borysławski3 ). Studies have shown that birth season or month may be associated with traits such as offspring number, Reference Boland, Fieder, John, Rijnbeek and Huber4 lifespan Reference Cozzani, Minardi, Corti and Barban5,Reference Vaiserman6 and ages of sexual maturation Reference Gaml-Sørensen, Brix and Ernst1,Reference Kliś, Jarzebak and Borowska-Strugińska7,Reference Day, Forouhi, Ong and Perry8 and first birth. Reference Skirbekk, Kohler and Prskawetz9
As regards anthropometric traits, then a bulk of studies has been motivated for explaining the childhood obesity epidemic in the context of the ‘thrifty phenotype’ and ‘fetal origins of adult disease’ hypotheses, assuming that intra-uterine exposures affect health outcomes years later. Reference Fall10,Reference Hales and Barker11 Such studies have typically found that individuals who are born in the cold season (winter months) have higher body mass index (BMI) and weight in childhood Reference Hemati, Keikha, Riahi, Daniali, Goudarzi and Kelishadi12 (but see Reference Lv, Yu and Guo2 ). Studies on the associations between birth season and height have yielded more contradictory results. A study on 848,860 Polish men and women found that those born in the autumn and winter months were shorter than their peers born around the middle of the year. Reference Chmielewski and Borysławski3 A similar pattern emerged in the study of ∼450,000 participants from the UK Biobank. Reference Day, Forouhi, Ong and Perry8 In a sample of 507,125 Austrian conscripts, the shortest were born between September and November. Reference Weber, Prossinger and Seidler13 Among 47,807 Swedish conscripts, those born in March–May were significantly taller than those born in November–December. Reference Kihlbom and Johansson14 On the other hand, among Spanish conscripts, birth at the end of summer and during the autumn was favourable for height. Reference Candela-Martínez, Ramallo-Ros, Cañabate and Martínez-Carrión15 US children born during the winter and spring months were significantly taller than others. Reference McGrath, Saha, Lieberman and Buka16 (For further reviews on the heterogeneity of associations between birth season and height, including developing countries, see Reference Candela-Martínez, Ramallo-Ros, Cañabate and Martínez-Carrión15,Reference Brabec, Behrman and Emmett17–Reference Pomeroy20 ).
Compared to height and markers of obesity, much less is known about the association between birth season and other body dimensions. An exception here is the study of the ∼500,000 participants of Kadoorie Biobank in China, showing that in four of 10 geographically diverse areas, individuals born in February–August had shorter legs than those born in the other parts of the year. Reference Lv, Yu and Guo2 A small-scale study of Peruvian children found that prenatal or early post-natal environmental effect on growth was more marked in limb lengths than trunk length or head size. Reference Pomeroy20
Of yet other anthropometric traits, the associations with birth seasonality have been studied on children’s head circumference and handgrip strength. US infants born in summer/autumn had larger head circumference than winter/spring-born infants. Reference McGrath, Saha, Lieberman and Buka16 Among English children, those born in October were stronger than those born in all other months except November and December. Reference Sandercock21 The authors consider seasonal differences in intrauterine vitamin D concentrations as the most plausible explanation for their results. Higher intrauterine vitamin D concentrations predict higher birth weight and length, which appear important for health but may also predict adult body size, muscle strength and lower obesity risk. Reference Bennour, Haroun, Sicard, Mounien and Landrier22–Reference Harvey24
Maternal exposure to sunlight is currently also a prevalent explanation for the variation of other traits with the birth season (the gestational vitamin D hypothesis), as Vitamin D insufficiency during pregnancy is highly prevalent in a diverse range of populations living at various latitudes and in both developed and developing societies. Reference Hemati, Keikha, Riahi, Daniali, Goudarzi and Kelishadi12 UVB radiation plays a major role in 25-hydroxyvitamin D3 synthesis and is the most important determinant of circulating vitamin D levels. Reference Vasdeki25 In neonates, vitamin D deficiency has been associated with adverse health outcomes, including those related to anthropometry. Vitamin D regulates calcium homeostasis and has a significant role in bone mineralisation, beginning with intrauterine life and continuing in childhood and early adulthood (reviewed by Reference Vasdeki25 ). However, besides sunlight-induced vitamin D production, dietary intake of other micro- and macronutrients also varies seasonally. For instance, studies have found association between birthweight and maternal protein, zinc, thiamine, riboflavin, vitamin C, carbohydrate and protein intakes during pregnancy (reviewed by Reference Watson and McDonald26,Reference Lucock27 ). Of micronutrients, the particular importance has been attributed to folate, a B-vitamin essential for DNA synthesis and repair, which is mainly dietarily derived from green vegetables, fruits and legumes. Reference Bailey28
Apart from the widespread agreement on the importance of seasonal variation in intrauterine exposures on adult phenotype, there is less consensus about the period of pregnancy where vitamin-dependent developmental changes originate. It has been suggested that because the first trimester of pregnancy is a period of rapid tissue differentiation, during which the fetus is most sensitive to stressors, developmental disturbances at this stage may exert long-lasting influence on the organism, e.g., Reference Chmielewski and Borysławski3,Reference Krenz-Niedbała, Puch and Kościński29 . If this is the period when maternal sunshine exposure and seasonal micronutrient intake are most important, one would predict that babies born in winter months (who have spent the most sensitive part of their prenatal life under the most favourable conditions) will develop taller stature. Conversely, individuals born in spring or summer have spent their first trimester of pregnancy under low maternal sunshine exposure and low availability of fresh fruits and vegetables, eventually resulting in their shorter stature. Such a pattern, however, was seldom observed, as the tallest individuals in the UK Reference Day, Forouhi, Ong and Perry8 and Poland Reference Chmielewski and Borysławski3 were born in the summer months while among the Austrian recruits, the tallest ones were born at spring months. Reference Weber, Prossinger and Seidler13
An alternative hypothesis, concerning specifically vitamin D production, assumes that sunshine exposure just in the third trimester of pregnancy is critical for the development of bone mass after birth (reviewed by Reference Sanguesa23,Reference Krenz-Niedbała, Puch and Kościński29,Reference Sayers and Tobias30 ). Such a scenario would predict height and performance premium in the northern hemisphere for summer- and autumn-born individuals, which has been found in few studies in US Reference McGrath, Saha, Lieberman and Buka16 and UK Reference Sandercock21,Reference Harvey24,Reference Sayers and Tobias30 (but see Reference Day, Forouhi, Ong and Perry8 for the largest UK dataset).
The purpose of the current study is to describe the associations between birth season and 11 anthropometric traits among the large sample of Estonian schoolchildren born between 1937 and 1962. By focusing on diverse bodily traits that show differential sensitivity to external stimulation and constraints, the study aims to contribute to understanding the physiological processes operating at different periods of pregnancy that eventually result in associations between birth season and human growth patterns. Reference Pomeroy20,Reference Sayers and Tobias30,Reference Pomeroy31
Of the traits studied, weight and body mass index (BMI) can be considered as indices of nutritional state. Leg length has often been used as a marker of the quality of the environment in early life (including the fetal period) that is sensitive to various external exposures (reviewed by Reference Lv, Yu and Guo2,Reference Pomeroy20 ). Sitting height measures of the length of the trunk (which houses major organs whose function may be impaired by poor growth), which obtains its final dimensions after childhood. Reference Bogin and Varela-Silva32 Thorax circumference, a measure of the chest’s size, is a marker of physical fitness. Reference Stöggl, Müller and Stöggl33 Along with respiratory capacity, thorax circumference correlates with lung function in children. Reference Zeng, Xu, Zhang, Li and Huo34 Development of hips is affected by ovarian steroids, and age when hips attain adult dimensions strongly correlates with the age of sexual maturation, Reference Ellison35 so this measure can be considered as a proxy for the rate of sexual maturation in girls. Cranial volume is sensitive to nutrient limitations Reference Ivanovic36 and parental stimulation during growth. Reference Kok37 Our dataset also includes testosterone-dependent traits such as shoulder width and handgrip strength. Reference Chiu, Shih and Chen38,Reference Martin and Nguyen39 Notably, handgrip strength has been shown to correlate with serum Vitamin D levels in children and adolescents. Reference Al-Jwadi, Jespersen, Dalgård, Bilenberg and Christesen40
All analyses control for secular trends and, when pertinent, for urban vs rural origin, family or mother’s socioeconomic position (SEP). Origin and (particularly maternal) SEP are relevant because we expected manual workers to spend more time under UV exposure than other women. Krenz–Niedbała and cooauthors Reference Krenz-Niedbała, Puch and Kościński29 suggested that because farming women are exposed to UV radiation even in winter, their fetuses are not at great risk of vitamin D insufficiency irrespective of their conception/birth season. In such a case, we would predict that seasonal variation of anthropometric traits is smaller among children of mothers in manual professions than children of mothers in non-manual professions. On the other hand, we also considered the possibility that mothers who spend more time outdoors around the year are exposed to higher seasonal variation in UV exposure than mothers (in non-manual occupations) who are more buffered from seasonal fluctuations in sunlight by spending most of the daytime indoors. Additionally, we considered it likely that the growth of children from high-SEP families is more strongly buffered against any external exposure (including possible shortage of vitamin D and dietary micronutrients, including folate) than children in low-SEP families. Under such scenarios, we would predict greater seasonal cyclicity of offspring dimensions among the children of mothers in manual as compared to non-manual professions.
Methods
Data collection and study sample
Data on morphometric measurements and family background were obtained from the anthropometric study performed by Juhan Aul between 1956 and 1969. The study involved schoolchildren born between 1937 and 1962. The historical background of this sample is described in. Reference Hõrak and Valge41,Reference Valge, Meitern and Hõrak42 As relevant for the current study, the economic/nutritional situation around birth was poor for those born during WWII and in subsequent years as food rationing in Estonia lasted until 1947. However, the following years were not easier because in 1949, the establishment of collective farms (kolkhozes) was enforced. With collectivisation, output, productivity, and the level of mechanisation declined in Estonian agriculture, especially after 1951. Overall agricultural production declined to less than half of the pre-war level and, for many peasant families, the years after collectivisation were the poorest of their lives. Private production on garden plots owned by the entire rural population and a part of the urban population remained very important. The situation in the countryside improved with increasing state subsidies for agriculture beginning in the 1960s. Reference Hõrak and Valge41,Reference Valge, Meitern and Hõrak42
Birth dates of the participants of this study involved highly variable epidemiological conditions. Infant mortality increased rapidly from 1944 and started to decline from 1948, dropping below the pre-war level by 1952. Notably, the post-war decline in infant mortality coincided with the rapid deterioration of living standards after 1947, partly caused by mass-collectivisation’s destruction of the rural economy. The study period thus involved two opposite trends in the economic and epidemiological situations: increasing birth-time economic hardships during the war and particularly in the post-war period and decreasing infant mortality (a marker of the epidemiologic situation) after 1948.
Details for measurements are described in. Reference Valge, Hõrak and Henshaw43 Importantly for quality, the same person collected all the morphometric measurements. Age- and sex-specific residuals of anthropometric traits were calculated from generalised additive models in which the focal trait was regressed against smooth nonparametric functions of age (in days) and birth date using package ‘gam’ for R Reference Hastie44 and ((R syntax: focal_trait ∼ s(age) + s(birth_date)). We included birth date as a predictor to account for the steady increase in age-adjusted body dimensions over the study period (see Reference Hõrak and Valge41 ). Residuals were then standardised to z-scores within the sexes. All results presented here are based on these standardised residuals rather than raw trait values. The full dataset for calculation of residuals of morphometric traits consisted of 12,465–15,253 girls (depending on the trait) and 9791–11,842 boys (age range 6.4–20.0 years, mean = 12.7 ± 6.4 (SD) years, born between 1937 and 1962). The dataset was stratified (Supplementary Table S1) based on urban vs rural residency and family socioeconomic position (SEP). SEP was assessed on the basis of parental professions recorded during data collection and assigned into three categories: unskilled manual workers, skilled manual workers, and non-manual workers for mothers and fathers separately. Maximum family SEP is the highest SEP value in the family. Sample sizes vary slightly between analyses because participants differed with respect to the number of anthropometric traits recorded.
Statistics
A series of generalised linear models were constructed to analyse the associations between anthropometric outcomes and the meteorological season of birth (i.e., December, January, February is winter, etc.). The models included birth season as the primary predictor variable and additional covariates such as rural/urban origin and maximum family SEP. We pooled children of both sexes as we did not find evidence that season of birth was associated with the anthropometric traits of boys and girls differently: season*sex interactions were not significant at 5% alpha level except for handgrip strength (Supplementary Table S3). However, handgrip strength did not reveal any seasonal patterns in pooled data or in boys and girls separately, and for the rest of traits, the seasonal patterns were generally similar among boys and girls (Supplementary Tables S6—S7, Fig. S1).
The models were fitted using the glm() function with Gaussian families in R. For each model, a standard output was generated, including parameter estimates, standard errors, and p-values. We transformed model outputs for each predictor into a standardised summary table, including adjusted means (emmeans, also known as least-squares means Reference Lenth45 ) to facilitate comparison between seasonal averages. Partial η2-s were used for the assessment of effect sizes. Because all the anthropometric traits were positively intercorrelated (Supplementary Table S2), we did not adjust p-values for multiple testing and relied on a 5% alpha level to reject 0-hypotheses. We relied on non-overlapping 95% confidence intervals (CI) to detect differences between birth seasons when comparing the birth season’s average trait values. We also provide false discovery rate (FDR)-corrected p-values in Tables S4—S8 and Fig. 1. However, given the exploratory nature of this study, we advise caution in interpreting these results. Reference Bender and Lange46
Associations between birth season and anthropometric traits (in z-scores). Adjusted means with 95% CI. See Supplementary Tables S4 and S5 for statistics. Averages marked with different letters differ significantly from one another at 5% alpha level after adjustment for 66 pairwise comparisons using FDR method.

To analyse the effect of environmental conditions on a cyclic response variable across different periods, we used a generalised additive model (GAM) approach. Reference Wood47 We fitted a cyclic smooth term to model the response variable as a function of a temporal covariate (month), incorporating interactions with a categorical environmental factor (Rural). The model formula included a cyclic cubic spline (s(month, bs=‘cc’)) for the temporal covariate to capture the cyclic pattern and an interaction term (s(month, by=mo_skilled, bs=‘cc’)) to evaluate differences in temporal effects across different environmental categories, i.e., among children of mothers in manual vs non-manual professions. To determine the significance of the interaction term, we compared the full model with the interaction term to a null model without it. Likelihood ratio test and chi-squared statistic were used to test for interaction between the cyclic temporal effects (month) and mother SEP level.
Data processing was performed anonymously under the licence of the Research Ethics Committee of the University of Tartu (protocol # 275/ T-1, issued on 20.11.1017) and approved by the Estonian Data Protection Directorate (Decision n2 2.2.-1/17/55, issued on 30.01.2018). R code and original data are available at https://zenodo.org/doi/10.5281/zenodo.13911412.
Results
Low family socioeconomic position (SEP) was generally associated with smaller body dimensions and poorer physical performance of children. BMI was the single trait that was not associated with the family SEP. Urban children were heavier and taller and had higher sitting heights and BMI than rural children. On the other hand, rural children were stronger and had larger crania and wider shoulders and hips than urban children, while thorax circumference and leg length were not associated with urban vs rural origin (Supplementary Table S4).
Adjusting for family SEP and rural vs urban origin, nine of 11 traits (except leg length and handgrip strength) were associated with birth season (Supplementary Table S4, Figs. 1–2). The strongest patterns emerged for sitting height and weight, where children born in spring and summer were bigger than those born in winter and fall. A similar trend was also observed for shoulder width, BMI, thorax circumference and lung capacity, although in the latter cases, 95% CI showed considerable overlap for births in the ‘dark’ vs ’sunny’ season. Summer-born children had wider hips than those born in any other season. They were also taller than autumn- and winter-born children. Spring-born children had larger crania than autumn-born children. Except for hip width, we did not detect any differences in trait values among children born in summer vs spring or winter vs fall. Children born in autumn or winter were never bigger or stronger than those born in spring or summer.
Associations between birth month and anthropometric traits (in z-scores). Dots indicate raw means with 95% CI. Shaded area denotes 95% CI for the GAM model prediction. See Supplementary Table S8 for the model statistics.

The magnitude of all the associations described above was relatively small. For instance, the maximum difference between season averages never exceeded 0.11 SD units of trait value (in the case of hip width (0.11 SD), sitting height and weight (0.09 SD), BMI (0.08 SD), shoulder width and height (0.07 SD) and thorax circumference (0.06 SD); see Fig. 1 and Supplementary Table S4).
Next, we tested whether maternal occupation would affect the association between birth month and offspring traits. For this purpose, we compared the curvatures of monthly variation in offspring traits between mothers in unskilled manual occupations with the rest of the mothers (skilled manual + non-manual occupations). Three traits – BMI, leg length and shoulder width – exhibited seasonal variation over all mothers; however, the seasonal pattern became non-significant when mothers of skilled and unskilled manual professions were analysed separately (Supplementary Table S8, Fig. 2). Two traits – sitting height and hip width, showed seasonal variation when analysed over all mothers, and this seasonality was significant also among mothers in unskilled-manual but not in skilled professions. Weight, height, thorax circumference, cranial volume and lung capacity showed nonlinear associations with birth month only among the mothers in manual unskilled professions. Handgrip strength did not exhibit any variation with birth month. Testing for interaction terms indicated significant differences in seasonal variation between children of mothers in unskilled manual and skilled professions in three traits – thorax circumference, cranial volume and lung capacity. Except for cranial volume, which showed the highest values for spring-born children, other traits with monthly variation showed peak values for summer-born children and lowest values for winter- and autumn-borns (Fig. 2).
Discussion
Variation of anthropometric traits with birth season
In models adjusting for confounders, nine of 11 traits were associated with birth season. Traits that showed the most prominent variation between birth seasons were hip width (0.11 SD difference), sitting height and weight (0.09 SD), BMI (0.08 SD), shoulder width and height (0.07 SD) and thorax circumference (0.06 SD). These traits can be thus considered somewhat more sensitive to seasonal exposures during pregnancy than other studied variables, particularly leg length and handgrip strength.
The relevant exposures include variation in daylength, ambient temperatures, infectious disease burden, availability of sources of micronutrients such as fresh fruits and vegetables and outdoor activities, including workload (e.g., Reference Sohn48 ). The most strictly cyclical of these is exposure to sunlight, which directly relates to the synthesis of vitamin D (e.g., Reference Gaml-Sørensen, Brix and Ernst1,Reference Cashman49 ) and melatonin Reference Cipolla-Neto50,Reference Banegas, Rodríguez-Artalejo, Graciani, De La Cruz and Gutiérrez-Fisac51 in expecting mothers and, in the northern temperate zone, also seasonally peaking food (including folate) availability during summer and autumn (e.g., Reference Vaiserman6 ). Assuming that vitamin D availability for the developing fetus has long-term positive effects on offspring growth, our results would suggest that such effects do not occur during the first half of pregnancy. This is because children born from May to August were heavier and taller and had higher sitting height, BMI, and wider shoulders and hips than children born in all other months (Figs. 1 and 2). Mothers of such children had spent the first half of their pregnancy under conditions of short daylength where the intensity of UV radiation is too low for vitamin D-synthesis.
Instead, our findings suggest that maternal exposure to sunlight towards the end of pregnancy positively associates with offspring growth. Such interpretation is consistent with the hypothesis that vitamin D production in the third trimester of human pregnancy is critical for the development of bone mass after birth (reviewed by Reference Sanguesa23,Reference Krenz-Niedbała, Puch and Kościński29,Reference Sayers and Tobias30 ). An alternative hypothesis states that because the first trimester of pregnancy is a period of rapid tissue differentiation, during which the fetus is most sensitive to stressors, maternal exposure to a relatively high amount of ultraviolet light during this period exerts a long-lasting positive influence on the organism (reviewed by Reference Chmielewski and Borysławski3,Reference Krenz-Niedbała, Puch and Kościński29 ). This hypothesis was not supported because it predicts a growth penalty for children born in spring or summer because their mothers’ first trimester of pregnancy coincides with low UV exposure.
Importantly, however, there is a caveat in deriving the causal inferences from the covariation between anthropometric traits and birth season. At least in high latitudes, limited exposure to sunlight during pregnancy in autumn and winter overlaps largely with an increased rate of upper respiratory infections, particularly influenza, which has been associated with reduced birthweight and later childhood obesity Reference Song52 . Additionally, it is possible that children born in spring and summer benefitted from the seasonally increasing high-quality food to their nursing mothers during the first post-natal months in autumn. Also, sufficient folate availability is considered to have the most substantial impact on fetus during the first months of pregnancy (e.g., Reference Lucock27 ). Folate intake from natural sources in northern latitudes has been reported to peak in late summer and autumn (e.g., Reference Hao, Ma and Stampfer53,Reference Krajcovicová-Kudlácková, Valachovicová and Blazícek54 ), so if this factor has a positive effect on children’s growth, one might expect that this effect emerges among spring and summer borns. Further, we cannot exclude the possible roles of other factors such as physical activity, maternal mental health, and overall nutrition. The summer season, with its conducive environment for outdoor activities and potential for improved mental well-being, can positively influence these factors, thereby supporting healthier fetal development and newborn size. Reference Mitku, Zewotir, North, Jeena and Naidoo55,Reference Voellmin, Entringer, Moog, Wadhwa and Buss56
Comparison with previous large-scale studies
Our results about weight/BMI are partly consistent with conclusions derived from the review of 50 studies showing that in most cases, spring births were associated with overweight/obesity in children. Reference Hemati, Keikha, Riahi, Daniali, Goudarzi and Kelishadi12 Our findings align with a study of ∼500,000 Chinese men and women, showing that subjects born between March and July had the highest BMI (Lv, et al., Reference Lv, Yu and Guo2015). Interestingly, however, another large-scale study of ∼450,000 participants of the UK Biobank Reference Day, Forouhi, Ong and Perry8 found no associations between birth season and adult BMI.
Regarding measures of height, our findings comply with large-scale Polish Reference Chmielewski and Borysławski3 and British Reference Day, Forouhi, Ong and Perry8 studies showing that individuals born in autumn and winter months were significantly shorter than their peers born around the middle of the year. A study of ∼507,000 Austrian conscripts measured at age 18 Reference Weber, Prossinger and Seidler13 found that the tallest ones were born between March and June and the shortest ones between September and December, which deviates slightly from the patterns found in the current study, but still indicates that birth at sunny period of year associates with tallness advantage. A similar pattern emerged in the study of ∼48,000 Swedish conscripts. Reference Kihlbom and Johansson14 Contrary to the above-cited studies, in the sample of ∼16,000 Spanish conscripts, birth at the end of summer and during the autumn was favourable for height. Reference Candela-Martínez, Ramallo-Ros, Cañabate and Martínez-Carrión15 Among the ∼22,000 seven-year-old US children, those born during winter and spring months were significantly taller (and heavier) than summer/autumn-born infants. Reference McGrath, Saha, Lieberman and Buka16
Focussing on components of height, our results clearly demonstrate that the seasonal pattern was driven by the growth of the torso but not legs, as sitting height showed the highest seasonality of height measures and leg length showed none. The latter finding differs from the large-scale Chinese study, where in four of 10 geographically diverse areas, individuals born in February–August had shorter legs than those born in the other parts of the year. Reference Lv, Yu and Guo2 The authors suggest that the heterogeneity of their findings over survey sites indicates that the effect of sunlight exposure (and hence D prenatal vitamin synthesis) is a site-specific phenomenon. Legs grow faster than the trunk before puberty. Therefore, leg length is considered an anthropometric marker of environmental quality in early life, which has been linked to maternal smoking during pregnancy, birth weight, breastfeeding and socioeconomic adversity in childhood (reviewed by Reference Lv, Yu and Guo2,Reference Pomeroy20,Reference Hõrak and Valge41 ). In our study population, leg length was insensitive to the pathogenicity of the growth environment Reference Hõrak and Valge41 but was the anthropometric trait most strongly associated with psychosocial deprivation. Reference Valge, Meitern and Hõrak57 Thus, more substantial aseasonal exposures in our study likely overrode any possible effects of seasonal factors on leg length.
Head size, proxied as cranial volume or circumference, is sensitive to nutrient limitations Reference Ivanovic36 and parental stimulation during growth. Reference Kok37 In a US sample of ∼22,000 infants, those born in summer/autumn had larger head circumference at age seven than those born in winter/spring. Reference McGrath, Saha, Lieberman and Buka16 This contrasts with our finding that spring-born children had larger crania than those born in autumn. Both studies were conducted in the northern hemisphere and involved roughly similar sample sizes; however, the children involved in the current study were, on average, six years older than those involved in the US study. One possible explanation for the contrasting findings of these studies thus is that possible birth-season effects on cranial growth vanish after the seventh year of age. Alternatively, other seasonal processes than daylength cycle might have affected the study populations in the US and Estonia differently.
Our findings on variation in cranial volume are also relevant concerning the ‘thrifty phenotype’ and ‘fetal origins of adult disease’ hypotheses, which assume that intra-uterine exposures affect health outcomes in later life. Reference Fall10,Reference Hales and Barker11 Extensions to this hypothesis have proposed that at resource limitation, essential organs such as the brain, heart and lungs are protected at a cost to other tissues/body parts such as limb length and skeletal muscle (brain- and trunk-sparing concept, Reference Pomeroy31,Reference Wells and Stock58 ). In a small sample of Peruvian children, Reference Pomeroy20 found that in harsh conditions of rural highland, birth month associations were significant most strongly for tibia length, followed by total lower limb length and stature. The authors concluded that prenatal or early post-natal environmental effects on growth are more marked in limb lengths than trunk length or head size, consistent with the brain- and trunk-sparing concept. Results of our study (performed under milder environmental conditions) do not support this view, as cranial volume (and particularly strongly, trunk length) varied with birth season while leg length did not.
In our study, handgrip strength was not associated with birth season. Among 8,850 10–16-year-old English children, those born in October were stronger than those born in all other months except November and December. Reference Sandercock21 The authors consider seasonal differences in intrauterine vitamin D concentrations as the most plausible explanation for their results. In line with this explanation, maternal serum vitamin D concentration in the third trimester of pregnancy was positively associated with offspring handgrip strength in English children at four years of age. Reference Harvey24 On the other hand, the superior strength of UK children born from October to December can be explained by the ‘relative age effect’. This means that children born early in the school/sports-selection year, who are relatively older than others, are initially more likely to be involved in various sports activities due to physical and/or maturational advantages over their younger classmates. Reference Sandercock21 We can only speculate that the absence of associations between birth month and handgrip strength in the current study sample might reflect the absence of the ‘relative age effect’ in our study sample.
The magnitude of the associations between anthropometric traits and birth season
Although we found that most of the traits studied varied with birth season, it should also be noted that even among the traits that showed the most prominent annual cyclicity, the variation explained by birth season was very low. For instance, the highest values of partial η2-s (for sitting height and hip width) were 0.0017—0.0012. This means that net covariates, birth season independently explained only 0.12—0.17% of variation in these traits (Supplementary Table S4). In the case of hip width, this variation was about the same magnitude as the variation explained by family SEP (0.15%), while in the case of sitting height, the variation explained by SEP (0.69%) was about six times higher than the variation explained by birth season. In the case of weight, the effect of SEP was three times stronger than the effect of birth season.
Similarly to the current study, SEP has been shown to exert a much stronger effect than a birth season on the variation of anthropometric traits in Swedish conscripts born in 1949–51. Reference Kihlbom and Johansson14 Viewing our findings in the further ecological context suggests that genetic differences and/or post-natal growth conditions can cause about ten times bigger differences in anthropometric trait values than sunshine exposure at different periods of pregnancy. For instance, a previous study in the same population showed that the feet of the children from orphanages were about 0.5 SD shorter than those of children from biparental families, followed by height and cranial volume, which differed by 0.4 SD units. Reference Valge, Meitern and Hõrak57
More generally, the small birth season-related variation in anthropometric traits is consistent with most previous findings where such magnitudes have been reported. For instance, a study on UK Biobank found the biggest birth month height difference between June vs December was 3.1 mm, Reference Day, Forouhi, Ong and Perry8 which is similar to the finding in Austrian recruits where height varied annually with an amplitude of ±3 mm (Weber, et al., Reference Weber, Prossinger and Seidler1998). In a large-scale Polish study, maximum height differences between birth months were 4.4 mm for men and 2.3 mm for women. Reference Chmielewski and Borysławski3 Swedish recruits born in March–May were 6.5 mm taller than those born in November–December. Reference Kihlbom and Johansson14 Some smaller-scale studies, however, have found more prominent height differences for height and weight. For instance, in a study of 1,241 Polish children, those born from October to March were 0.13 SD units taller and 0.14 SD units heavier than children born from April to September, Reference Kościński, Krenz-Niedbała and Kozłowska-Rajewicz59 which is about twice the magnitude of the between-season difference for these traits found in the current study. In a sample of 810 Spanish men, birth in June/July was associated with a 2 cm taller stature than birth in December/January. Reference Banegas, Rodríguez-Artalejo, Graciani, De La Cruz and Gutiérrez-Fisac51
Importance of maternal occupation
A clear pattern emerged when comparing the curvatures of monthly variation in offspring traits between mothers in unskilled manual occupations vs mothers in skilled manual and non-manual occupations. We did not detect nonlinearity in associations between any of the offspring traits and birth month among children of mothers who worked in non-manual professions (Supplementary Table S8). However, among children of blue-collar mothers, nonlinear associations with birth month emerged in seven traits of 11.
This occupation-related pattern has at least two mutually non-exclusive explanations. Assuming that women in manual professions spend, on average, more of their occupational duties outdoors, one might expect that they are exposed to higher seasonal variation in UV exposure than white-collar women working indoors. If this differential pattern in UV exposure translates to higher seasonal variation in vitamin D availability for developing fetuses of mothers in manual professions, it would mean that children of such mothers are more likely to display birth-season-related variation in body dimensions.
Additionally, we consider it likely that children’s growth in high-SEP families is more strongly buffered against any external exposure (including fluctuations in fetal vitamin D and other micronutrient levels) than in low-SEP settings. For instance, children from high SEP families likely have better access to resources during the post-natal period that facilitates compensatory growth even in cases of maternal under-exposure to sunlight or micronutrient deficiency during pregnancy. Consistent with this reasoning, the previous study in our population showed that mothers in unskilled manual professions had 27% lower odds of becoming longevous (reaching the 90th survival percentile above 92 years) than the rest of mothers. Reference Valge, Meitern and Hõrak60 External factors that reduce life span had thus the greatest impact on blue-collar mothers. If these factors (such as resource limitations and exhausting physical work load) also hinder the ability of mothers to protect their developing offspring from seasonal environmental effects, then a more pronounced influence of birth season on the offspring traits of mothers in unskilled manual jobs is anticipated. Such reasoning relies on the rationale that ample resource availability enables better attainment of genetic growth and development potential than a resource-restricted environment (see Reference Hõrak, Valge, Fischer, Mägi and Kaart61–Reference Turkheimer, Haley, Waldron, D’Onofrio and Gottesman63 ). For instance, Finnish mothers in manual occupations (from 1996—97 and 1997—2014) were more likely experience preterm delivery and give birth to underweight and small-for-gestational-age newborns than non-manual workers. Reference Ahmed and Jaakkola64,Reference Kwegyir-Afful65
Our result that the associations between birth month and anthropometric traits are more strongly associated in children born to low SEP mothers is in accordance with findings of the Swedish conscript study where birth-season-related patterns in height and underweight emerged only among men whose fathers were in low socioeconomic status. Reference Kihlbom and Johansson14 An alternative hypothesis, namely that fetuses of women in manual professions (e.g., farmers) who are exposed to UV radiation even in winter are not at great risk of vitamin D insufficiency irrespective of their conception/birth season Reference Krenz-Niedbała, Puch and Kościński29 is not supported by our data. Such an outcome is perhaps expected, given that in Estonian latitudes, the period when vitamin D synthesising irradiance is below the threshold level lasts 100–106 days from about the sixth of November to the 19th February. Reference Eerme, Veismann, Ansko and Lätt66
Strengths, limitations and conclusions
This is the first study on the associations between birth season/month and multiple anthropometric traits in children. The main limitations are its cross-sectional design and wide age range variation of children. The main strengths are the diversity of anthropometric traits measured, the decent sample size, and the quality of information about children’s family socioeconomic position (SEP) during the measurement period. Due to historical reasons, the participation was not voluntary, which considerably reduces the recruitment selection Reference Stubbs and Achat67 and that all the participants were younger than 20, which almost entirely eliminates the mortality selection in the sample. We found that nine of 11 offspring traits were associated with birth season in models adjusting for family SEP and urban vs rural origin. Seasonal patterns in anthropometric traits were generally weak, particularly compared to the effects of family SEP. Most prominent nonlinear associations between offspring traits and birth month emerged among children of mothers in unskilled manual professions. A possible explanation is that children’s growth in high-SEP families is more strongly buffered against any external exposures (including possible shortage of maternally synthesised vitamin D and essential micronutrient availability) than in low-SEP settings. For most traits, children born in spring/summer were larger than those born in autumn/winter. Hip width, trunk length and weight showed the most distinct seasonal patterns. If these birth-season-related patterns are related to maternal sunlight-induced vitamin D synthesis, our results support the view that UV exposure towards the end of pregnancy benefits offspring growth. It is also possible that children born in spring and summer benefitted from the seasonally increasing nutrient availability during the first post-natal months in autumn. Altogether, our findings support the contention of the developmental origins of health and disease hypothesis that environmental exposures during early life (particularly the in-utero period) can permanently influence adult phenotypes in later life. The biological and practical relevance of our findings, especially as concerns the relative importance of pre-and post-natal environments on offspring growth and development, however, remains to be clarified.
Supplementary material
The supplementary material for this article can be found at https://doi.org/10.1017/S2040174425000108.
Data availability statement
R code and original data are available at https://zenodo.org/doi/10.5281/zenodo.13911412.
Acknowledgments
We thank the administration and staff of the Museum of Tartu University, particularly Virge Lell, for the help with locating the schoolchildren data records collected by Juhan Aul. Two anonymous reviewers provided constructive criticism on the ms.
Financial support
The study was funded by the Estonian Research Council grant PRG1137.
Competing interests
The authors declare no conflict of interests.