Reeli Tamme

Mrs. Reeli Tamme

orcid

Research Focus & Metrics

Academic Career Length

8Years (2019-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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23 May 2019 in Medicina
Verified
Journal Article
Open access
PDF file
RTReeli Tamme
Reeli Tamme
Jaak JürimäeJaak Jürimäe
Jaak Jürimäe
EMEvelin Mäestu
Evelin Mäestu
LRLiina Remmel
Liina Remmel
PPPriit Purge
Priit Purge
VTVallo Tillmann
Vallo Tillmann
Background and objectives: Studies indicate that genetic and lifestyle factors influence optimal bone development. Adaptations in bone mineral characteristics related to physical activity (PA) are most often observed in pre- and peri-puberty. Longitudinal associations between bone mineral accrual and objectively measured PA in puberty are poorly understood. The present study aims to investigate whether pubertal PA at different intensities is related to bone mineral characteristics in individuals at 18 years of age. Materials and Methods: Anthropometrics, pubertal stage, bone age and PA by accelerometer were measured in 88 boys at the mean age of 12.1 (T1), 13.1 (T2), 14.0 (T3) and 18.0 years (T4). Different bone mineral parameters were measured by dual-energy X-ray at T4. Stepwise multiple regression analysis was performed to determine the effect of bone age, body mass and PA characteristics on measured bone mineral parameters at 18 years of age. Results: Total PA in puberty together with mean pubertal body mass predicted 35.5% of total body (TB) bone mineral density (BMD), 43.0% of TB less head (LH) bone mineral content (BMC) and 48.1% of BMC/height in individuals at 18 years of age. Vigorous PA and body mass in puberty predicted 43.2% of femoral neck (FN) BMD; bone age at T1, vigorous PA and body mass in puberty predicted 47.3% of FN BMC at 18 years of age. No associations between pubertal PA levels and lumbar spine bone mineral characteristics in individuals at 18 years of age were found. Conclusions: Physical activity in puberty has a significant impact on bone mineral characteristics in individuals at 18 years of age, with total PA being a significant predictor of TB BMD and TB LH BMC as well as BMC/height, whereas vigorous PA is a significant predictor of FN BMD and FN BMC.

10 September 2019 in Hormone Research in Paediatrics
Verified
Journal Article
Closed access
PDF file
RTReeli Tamme
Reeli Tamme
JJJaak Jürimäe
Jaak Jürimäe
EMEvelin Mäestu
Evelin Mäestu
LRLiina Remmel
Liina Remmel
PPPriit Purge
Priit Purge
VTVallo Tillmann
Vallo Tillmann
Background: Cross-sectional studies have associated serum testosterone with bone mineral density (BMD). However, there is a shortage of prospective longitudinal studies in this domain, leaving it unclear whether changes in testosterone level precede changes in BMD. Objectives: To examine the association between serum testosterone concentration at the age of 12 years and a subsequent increase in BMD by the age of 18 years. Methods: Eighty-eight boys with a mean age of 12.1 ± 0.7 (time point 1 [T1]) and 18.0 ± 0.7 (T2) were investigated. For both time points, serum testosterone was measured from venous blood samples. Total body (TB) and lumbar spine (LS) BMD and bone mineral apparent density (BMAD) were measured. As different brands of DEXA machines were used at T1 and T2, we calculated SD scores (SDS) from samples at T1 and T2 and their change (Δ). As covariates, bone age at T1 and physical activity (PA) by accelerometer at T1 and T2 were measured. Results: Serum testosterone at T1 was positively correlated with TB BMD at T2 (r = 0.28; p < 0.01), Δ TB BMAD SDS (r = 0.47; p < 0.0001) and Δ LS BMAD SDS (r = 0.23; p < 0.05). When additionally controlling for bone age and total PA at T1, the correlation between testosterone at T1 and Δ TB BMAD SDS remained significant (r = 0.32; p < 0.05). Conclusions: Serum testosterone concentration at the age of 12 years is associated with a subsequent increase in TB BMAD by the age of 18 years. This supports the inference that testosterone levels in early puberty may influence subsequent bone mineral accrual.

1 August 2023 in Pediatric Exercise Science
Verified
Journal Article
Closed access
PDF file
JKJuta Kraav
Juta Kraav
RTReeli Tamme
Reeli Tamme
LRLiina Remmel
Liina Remmel
EMEvelin Mäestu
Evelin Mäestu
MZMaksim Zagura
Maksim Zagura
VTVallo Tillmann
Vallo Tillmann
Purpose: To evaluate the long-term effect of body composition, physical activity, and cardiorespiratory fitness (CRF) from puberty on arterial health in late adolescent males. Methods: The cumulative burden of physical activity (measured with accelerometer), CRF (VO2peak0.82), and body composition (body mass index, fat mass, and fat percentage) from puberty to late adolescence (sum of 4 time points from 12 to 18 y) was assessed in 102 males. Additional analysis on the first (T1) and last (T4) time points was performed. Intima-media thickness (IMT), carotid-femoral pulse wave velocity, and augmentation index adjusted to heart rate of 75 beats per minute (bpm) as dependent variables were measured at T4 and analyzed in multivariable regression models adjusted for known risk factors including maturation, blood pressure, and smoking habits. Results: T1 and cumulative body composition measures were independently associated with IMT, while cumulative (β = −0.011, P = .036) and T4 (β = −0.0.031, P = .001) CRF revealed independent associations with IMT. Individuals with moderate to vigorous physical activity >60 minutes per day at T1 showed relationship (β = −1.091, P = .026) with IMT independently of late adolescent physical activity. No significant relationship was present for arterial function. Conclusion: Arterial structure in adolescent males is associated with physical activity at 12 years while relationship with CRF can be seen in late adolescence and cumulatively from puberty to late adolescence.

LRLiina Remmel
Liina Remmel
RTReeli Tamme
Reeli Tamme
VTVallo Tillmann
Vallo Tillmann
EMEvelin Mäestu
Evelin Mäestu
PPPriit Purge
Priit Purge
Jaak JürimäeJaak Jürimäe
Jaak Jürimäe
There is a lack of studies investigating whether objectively measured physical activity (PA) and cardiorespiratory fitness (CRF) in puberty is associated with healthier body composition in late adolescence. The study sample included 71 boys, who were measured at puberty (mean age of 12.1 years) and again at late adolescence (mean age of 18.1 years). Physical activity was measured by accelerometry, and total PA, moderate-to-vigorous PA (MVPA), and sedentary time (SED) were calculated, while CRF was assessed by a peak oxygen consumption test. Body composition was measured by dual-energy X-ray absorptiometry, and body fat percentage (%BF), fat mass index (FMI), trunk fat mass index (TFMI), and fat-free mass index (FFMI) were calculated. Body mass index (BMI) and SED time increased, while MVPA, total PA, and CRF decreased from puberty to late adolescence. A relatively high degree of tracking for BMI and CRF, and a low tracking for PA from puberty to late adolescence was observed. Only the CRF value at puberty negatively predicted adolescent BF% (β = −0.221; p = 0.015), FMI (β = −0.212; p = 0.006), and TFMI (β = −0.189; p = 0.015) values. Adolescents whose CRF was above the median at puberty had lower BMI, BF%, FMI, and TFMI in comparison to those whose CRF was below the median at puberty. In conclusion, measured CRF and PA values decreased from puberty to late adolescence. Pubertal CRF predicted body fatness indices six years later in healthy adolescents.

13 December 2021 in Bone Reports
Verified
Journal Article
Open access
RTReeli Tamme
Reeli Tamme
JJJaak Jürimäe
Jaak Jürimäe
EMEvelin Mäestu
Evelin Mäestu
LRLiina Remmel
Liina Remmel
PPPriit Purge
Priit Purge
VTVallo Tillmann
Vallo Tillmann
Inconsistent associations of leptin and adiponectin with bone mineral characteristics in puberty and adolescence have been reported. We aimed to examine the associations between leptin to adiponectin ratio (LAR) in puberty and bone mineral characteristics at the age of 18 years in healthy males. 88 white Caucasian boys were investigated at T1 (mean age 12.1 years), T2 (14.0 years) and T3 (18.0 years). Serum leptin and adiponectin were measured and LAR was calculated at T1, T2 and T3, bone mineral density (BMD) and bone mineral apparent density (BMAD) for total body and lumbar spine (LS) at T1 and T3. Spearman correlation coefficient and partial correlation analyses were used to describe the associations between mean pubertal LAR and BMD at T3. Mean pubertal LAR was negatively correlated with both LS BMD (r = −0.23; P < 0.05) and LS BMAD at T3 (r = −0.33; P < 0.05). These associations remained significant also in partial correlation analysis after controlling for total body fat percentage, total testosterone, HOMA-IR and physical activity at T1 (r = −0.31; P < 0.05 and r = −0.41; P < 0.05 respectively). LAR in puberty is negatively associated with lumbar spine BMD and lumbar spine BMAD at the age of 18 years.

11 November 2022 in Osteoporosis International
Verified
Journal Article
Closed access
PDF file
EMEva Mengel
Eva Mengel
RTReeli Tamme
Reeli Tamme
LRLiina Remmel
Liina Remmel
PPPriit Purge
Priit Purge
EMEvelin Mäestu
Evelin Mäestu
VTVallo Tillmann
Vallo Tillmann