Pubertal stage and age may have no effect on experimental pain sensitivity in healthy adolescent girls.
Keywords: Puberty, Age, Adolescents, Quantitative sensory testing
Abstract
Introduction:
Puberty is a critical developmental period during which changes in pain sensitivity are observed. Previous studies found that older and more mature adolescents have lower experimental pain sensitivity. However, it is unclear whether the differences in pain sensitivity are due to age or the pubertal maturation effect.
Objectives:
This observational study examined the relationships between the pubertal maturation stage, age, and experimental pain sensitivity in healthy girls.
Methods:
Healthy adolescent girls (n = 52, mean age 12.0 ± 1.4 years) completed the Pubertal Developmental Scale (PDS) to assess their pubertal stage. In addition, they completed a comprehensive quantitative sensory testing session, including pain thresholds, pain ratings to noxious stimuli, and pain modulation tests. Separate regression models were performed to assess the effect of pubertal maturation and age on experimental pain sensitivity as well as differences in experimental pain sensitivity between girls in different subjective self-perceived pubertal timing relative to peers.
Results:
No relationships were found between the PDS score and experimental pain sensitivity; however, age was significantly related to cold pain tolerance (P = 0.030). In addition, to differentiate between puberty and age, experimental pain sensitivity was compared in a subsample of girls of the same age but at different pubertal stages, and no differences in experimental pain sensitivity were observed. No differences were also found when comparing girls who mature early, same, or late relative to their peers.
Conclusion:
Puberty and age may have no effect on experimental pain sensitivity in healthy girls.
1. Introduction
Puberty is a critical developmental period that marks the transition from a nonreproductive to a reproductive state. Puberty can last several years, with physical changes typically starting to appear in girls around age 9 years and are completed around age 16 years.24,38 Pubertal stages can be classified as prepuberty, early, mid, late, and postpuberty.30 In addition to the physical changes in sexual characteristics, there are also significant biopsychosocial changes that happen during puberty and can affect nociceptive processing and pain, both chronic and experimental pain.33
Generally, as adolescents get older or mature, the sensitivity to experimental pain decreases.3,4,23,29,42,44 However, many studies have focused on age differences rather than differences in pubertal maturation, and compared pain sensitivity among participants of different ages.3–5,44 Because there is a large individual variability in puberty onset and the transition between the pubertal stages, adolescents of the same age may be at different pubertal stages.11,18,46 Thus, the effect of puberty on pain is still unclear.
In addition to pubertal stages, pubertal maturation can be classified as relative pubertal timing, which is the maturation compared with peers (relatively early, same, or relatively late).30 Early relative puberty is related to higher internalizing behaviors, including depressive symptoms,16,22,45 which could affect pain sensitivity.
This study aimed to determine the role of puberty on experimental pain sensitivity in healthy girls. This study focused on girls since, during puberty, girls have an increase in chronic pain prevalence and greater experimental pain sensitivity compared with boys.5,6,27,28,33 The associations between pubertal maturation scores and experiential pain measures were examined. Furthermore, in a subanalysis, girls of the same chronological age but different pubertal stages were compared, allowing disentangling between the effects of age and pubertal maturation. We hypothesized that more mature girls would have lower experimental pain sensitivity and more efficient pain modulation capabilities. In addition, exploratory analyses identified the effect of subjective self-perceived pubertal timing relative to peers on pain by comparing experimental pain sensitivity between adolescents who are in different puberal timing.
2. Methods
This study was approved by the Institutional Review Board of Washington University in St. Louis and was registered with ClinicalTrials.gov (NCT05145595). Data were collected between September 2022 and July 2024. Before participating in the study, all participants and their parents or guardians provided written informed consent and assent.
2.1. Study participants
Participants were recruited via flyers distributed using the research participant registry of Washington University School of Medicine, and via peachjar, an online platform for sending flyers to parents via their children's schools and community groups, and via word-of-mouth. Participants were healthy girls (sex and gender) with an age range of 9 to 16 years. Participants were required not to be pregnant, with no diagnosis of chronic pain, psychiatric or neurological disorders, disorders that are associated with pubertal maturation (eg, precocious puberty), disorders that can affect the endocrine system, and with no use of medications that affect the pain system or sex hormone levels (eg, opioids, hormone therapy).
2.2. Study design
The study design is depicted in Figure 1. The order of the tests was semirandomized and was from the least painful to the most painful to avoid a carryover effect that could affect the results of the next test. First, heat, cold, and pressure pain thresholds (PPT) were tested in a random order based on the participant ID number. Next, the familiarization part and temporal summation paradigm was completed. The tonic heat stimulus and offset analgesia paradigm were then delivered in a random order. After these tests, the conditioning stimuli part for the 2 conditioned pain modulation (CPM) paradigms were completed in a random order. An 8-minute break was kept between the tonic heat, offset analgesia, and CPM tests. The last test was the cold pain tolerance. During the breaks, participants completed surveys, including the Pubertal Developmental Scale (PDS). The investigator conducting the experimental pain assessments was blinded to the results of the PDS questionnaire and the participant's pubertal stage. At the end of the study visit and after completing the experimental pain measures, a blood draw was completed for analyses of sex hormone levels. The role of sex hormones on pain sensitivity in adolescents will be presented elsewhere.
Figure 1.

Study design. CPM, conditioned pain modulation.
2.3. Pubertal assessments
Pubertal maturation stage was assessed using the PDS questionnaire.9 This survey has good reliability and validity and is correlated with Tanner staging.9,26 Higher scores indicate a greater pubertal maturation stage. In addition, classification of the pubertal stages was done as follows: (1) prepuberty (score = 2, no menarche), (2) early-puberty (score = 3, no menarche), (3) mid-puberty (score > 3 and no menarche), (4) late-puberty (score ≤ 7, menarche), and (5) postpuberty (score = 8, menarche).26 In addition, the PDS assesses self-perceived relative pubertal timing. Participants indicated if their pubertal maturation was much earlier, somewhat earlier, about the same, somewhat later, or much later compared with their peers. This approach is similar to previous studies that have used this question to assess the subjective, perceived relative pubertal timing.13,21,22
2.4. Quantitative sensory testing
2.4.1. Heat and cold pain thresholds
The stimulus was delivered to the nondominant volar forearm using a 16 × 16-mm thermode (Medoc, Ramat Yishai, Israel). The temperature changed at a rate of 1.5°C/second and returned to a 32°C baseline at a rate of 6°C/second. Participants pressed a button the first moment they felt pain. Four heat and 4 cold pain threshold tests were completed, and the final scores were an average of the last 3 tests.
2.4.2. Pressure pain thresholds
Pressure pain threshold was delivered to the dominant trapezius with a pressure algometer (Medoc), using a 1-cm2 probe and a rate of 60 kPa/second. Participants pressed a button the first moment they felt pain. Four PPT tests were completed, and the final score was an average of the last 3 tests.
2.4.3. Familiarization
Participants were familiarized with the stimuli and rating scales using a stimulus-response paradigm. The paradigm included applying 12 short 5-second, heat stimuli ranging from 39 to 47°C (39, 43, 44, 45, 46, and 47°C) to the dominant volar forearm and having participants rate their pain intensity and pain unpleasantness at the end of each stimulus. Each temperature was repeated twice, and the interstimulus interval was 30 seconds.
2.4.4. Temporal summation
A von Frey filament of 6.45 (a force of 180 gram) was delivered once and then 10 times to the nondominant volar forearm. Participants rated pain intensity after 1 stimulus and after 10 stimuli. Two temporal summation tests were conducted. The temporal summation value was the mean of the 2 tests calculated as the pain ratings of the 10th stimulus minus the pain ratings of the first stimulus. Positive values of temporal summation indicate an excitatory effect.
2.4.5. Conditioned pain modulation paradigm
Conditioned pain modulation is based on a “pain-inhibits-pain” concept that represents a spatial filtering mechanism that engages endogenous analgesia.34,35 The test stimulus was delivered alone and then concurrently during the last 30 seconds of the conditioning stimulus. Two test stimuli were used in the study: PPT (see description above) and a tonic heat stimulus. The tonic heat stimulus was 46.0°C (a 16 × 16-mm thermode; Medoc) delivered to the nondominant volar forearm for 30 seconds. The baseline temperature was 35°C and the temperature increase/decrease rate was 6°C/second. Real-time pain intensity ratings were obtained using a Computerized Visual Analogue Scale (COVAS, Medoc), which ranges between “no pain sensation” to the “most intense pain imaginable.” The conditioning stimulus was the immersion of the nondominant foot into a cold-water bath (8°C) for 60 seconds. Participants rated the conditioning cold stimulus pain intensity at the end of this stimulus using a mechanical VAS. During the last 30 seconds of the conditioning stimulus, the test stimulus was also delivered. The order in which the test stimuli were delivered together with the conditioning stimuli was randomized, and 8 minutes were kept between the tests to avoid carryover effects of the conditioning stimulus.31 Heat CPM was calculated as the delta of heat pain ratings delivered together with the conditioning stimulus minus pain ratings of heat stimulus alone using absolute values. Pressure CPM was calculated as the delta of PPT alone minus PPT delivered together with the conditioning stimulus using absolute values. Negative values of the CPM response indicate an inhibitory effect.
2.4.6. Offset analgesia
In this paradigm, heat stimulus was delivered to the nondominant volar forearm using a 16 × 16-mm thermode. The offset analgesia stimulus consisted of 3 temperatures: 46°C for 5 seconds, 47°C for 5 seconds, and 46°C for 20 seconds. Participants continuously rated their pain intensity using the COVAS. Similar to a previous study,34 the offset analgesia response was calculated as the difference between the mean pain intensity ratings of the time period between 13 and 23 seconds of the offset analgesia paradigm and the tonic heat stimulus of the CPM heat paradigm (constant 46°C for 30 seconds). Negative values of the offset analgesia response indicate an inhibitory effect.
2.4.7. Cold pain tolerance
Participants were asked to immerse their dominant foot in cold water (8°C) for as long as possible and until they could no longer hold their foot in the water. The cutoff duration was 120 seconds, after which participants were told to remove their foot from the water, and this duration was recorded as their cold pain tolerance.
2.5. Statistical analysis
The sample size calculation was based on group differences between girls in early vs late pubertal maturation and used unpublished pilot data from Cincinnati Children's Hospital Medical Center.32,37 This study aimed to keep a narrow age range (80% were between 11 and 13 years) to distinguish pubertal vs age effects. However, even with this small age range, girls in early puberty were significantly younger than girls in late puberty, and it was not possible to differentiate puberty from age effects. Thus, we decided to use regression models. We calculated that with our sample size (n = 52), this study is powered to detect small size effects (r2 > 0.2, alpha = 0.05 with 80% power, 2 predictors). Statistical analysis was performed using JMP Pro 16. Participants who could not tolerate the stimulation were excluded from that analysis (the exact numbers of participants included in each analysis are mentioned in the tables). Separate regression models were used to examine the effect of pubertal maturation stage, as indicated by the PDS scores and age on experimental pain sensitivity. Age and PDS score were moderately significantly correlated (r = 0.586, P < 0.001). However, it was below the threshold for collinearity (0.8); thus, they were included in the same model. In addition, the relationships between experimental pain sensitivity and menstrual phase and time since menarche were examined. Because these variables exist only for girls who are postmenarche and not in girls in early puberty who are premenarche, a dummy value of −1 was created for premenarche girls. The menstrual phase (days since the last period) and time since menarche (years) were not related to any of the experimental pain measures (P > 0.05) and, thus, were not controlled for in the models. Furthermore, we examined the relationships between experimental pain sensitivity and menstrual phase and time since menarche only in girls who are postmenarche (n = 26). No relationships between experimental pain measures and menstrual phase and time since menarche were found except for a relationship between cold pain tolerance and time since menarche (r2 = 0.194, P = 0.025, without correction for multiple comparisons).
To better differentiate the role of puberty vs age, participants were categorized to prepuberty, early-puberty, mid-puberty, late-puberty, and postpuberty,26 and pairs of adolescent girls who were of the same chronological age but at different pubertal stages (early-mid vs late) were identified. Experimental pain sensitivity was compared between the groups using t-tests. In addition, exploratory analyses to assess the subjective self-perceived pubertal timing were conducted using the relative puberty question in the PDS survey. Analyses of variance were used to compare experimental pain sensitivity between girls that their pubertal maturation is early (including the answers “much earlier” [n = 1] and “somewhat earlier” [n = 8]) vs same (n = 34) vs late (including the answers “somewhat later” [n = 7] and “much later” [n = 2]) relative to their peers. In addition, because of the unbalanced number of participants in the groups, t-tests were used to compare experimental pain sensitivity between girls that their pubertal maturation is early (n = 9) vs late (n = 9) relative to their peers.
3. Results
Fifty-two adolescent girls (mean age ± SD 12.0 ± 1.4 years, 37 Caucasians, 8 African Americans, 6 mixed race, and 1 Asian/Pacific Islander) completed the study. Participants were at prepuberty (n = 1), early-puberty (n = 6), mid-puberty (n = 18), late-puberty (n = 26), and postpuberty (n = 1). Using the PDS scores as a continuous variable and age, regression analyses found no relationships between the PDS scores and experimental pain sensitivity, even without correcting for multiple comparisons (Table 1). For age, a significant effect was found only for cold pain tolerance (P = 0.030, Table 1), indicating that older girls have lower experimental pain sensitivity demonstrated by higher cold pain tolerance. This relationship was not significant after correction for multiple comparisons.
Table 1.
Pubertal maturation and age effects on experimental pain sensitivity in healthy girls.
| Estimate | Std error | T ratio | Significance | |
|---|---|---|---|---|
| Pain thresholds | ||||
| Heat pain thresholds (n = 52, r2 = 0.027) | ||||
| PDS score | 0.418 | 0.421 | 0.99 | 0.325 |
| Age | −0.041 | 0.401 | −0.10 | 0.920 |
| Cold pain thresholds (n = 52, r2 = 0.018) | ||||
| PDS score | −0.726 | 1.315 | −0.55 | 0.584 |
| Age | −0.388 | 1.254 | −0.31 | 0.758 |
| Pressure pain thresholds (n = 52, r2 = 0.065) | ||||
| PDS score | 10.246 | 9.472 | 1.08 | 0.285 |
| Age | 5.237 | 9.033 | 0.58 | 0.565 |
| Pain sensitivity to suprathreshold stimuli | ||||
| Heat pain ratings (n = 44, r2 = 0.061) | ||||
| PDS score | 1.848 | 3.588 | 0.52 | 0.609 |
| Age | −5.539 | 3.522 | −1.57 | 0.123 |
| Cold pain ratings (n = 52, r2 = 0.056) | ||||
| PDS score | 0.512 | 0.362 | 1.41 | 0.163 |
| Age | −0.554 | 0.345 | −1.61 | 0.115 |
| Cold pain tolerance (n = 52, r2 = 0.097) | ||||
| PDS score | −4.663 | 5.421 | −0.86 | 0.394 |
| Age | 11.532 | 5.170 | 2.23 | 0.030* |
| Pain modulation | ||||
| Temporal summation (n = 52, r2 = 0.085) | ||||
| PDS score | −0.042 | 0.087 | −0.48 | 0.632 |
| Age | −0.115 | 0.083 | −1.40 | 0.169 |
| Heat CPM (n = 43, r2 = 0.064) | ||||
| PDS score | −3.137 | 2.360 | −1.33 | 0.191 |
| Age | −0.136 | 2.325 | −0.06 | 0.954 |
| Pressure CPM (n = 51, r2 = 0.006) | ||||
| PDS score | −2.800 | 6.621 | −0.42 | 0.674 |
| Age | 3.178 | 6.278 | 0.51 | 0.615 |
| Offset analgesia (n = 39, r2 = 0.038) | ||||
| PDS score | −1.657 | 2.968 | −0.56 | 0.580 |
| Age | −1.564 | 2.859 | −0.55 | 0.588 |
Heat pain ratings (0–100) of the tonic heat test stimulus; cold pain ratings (0–100) of the conditioning stimulus; temporal summation (delta of pain ratings of the 10th mechanical stimuli minus pain ratings of the first mechanical stimuli), negative values indicate lower excitatory response; heat CPM (delta of pain ratings of heat stimulus delivered together with the conditioning stimulus minus pain ratings of heat stimulus alone), negative values indicate more efficient inhibitory response; pressure CPM (delta of pressure pain thresholds alone minus pressure pain thresholds delivered together with the conditioning stimulus), negative values indicate more efficient inhibitory response; and offset analgesia (delta of pain ratings of heat stimulus of the 46–47 − 46°C paradigm minus the pain ratings of heat stimulus of a constant 46°C), negative values indicate more efficient inhibitory response.
This relationship was not significant after correction for multiple comparisons, which requires P < 0.005.
CPM, conditioned pain modulation; PDS, pubertal developmental scale.
To differentiate between the effects of pubertal maturation and age, additional analyses were conducted in which experimental pain sensitivity was compared between adolescent girls of the same age but at different pubertal stages (early-mid vs late). Because age was identical, these analyses allowed distinguishing the effects of puberty from age. Twenty-eight girls were included in this analysis (14 early-mid and 14 late, mean age for both groups was 12.0 ± 0.7 years). No differences in any of the experimental pain measures were found (Table 2, Fig. 2), suggesting no effect of pubertal maturation on experimental pain sensitivity.
Table 2.
Experimental pain sensitivity in matched girls in early-mid vs late pubertal maturation.
| Early-mid puberty (n = 14) | Late puberty (n = 14) | 95% Cl diff | P | |
|---|---|---|---|---|
| Pain thresholds | ||||
| Heat pain thresholds (°C) | 41.7 ± 3.1 | 41.4 ± 3.9 | −3.0, 2.5 | 0.852 |
| Cold pain thresholds (°C) | 14.5 ± 9.6 | 11.1 ± 10.2 | −11.1, 4.4 | 0.381 |
| Pressure pain thresholds (kPa) | 189.1 ± 74.3 | 163.8 ± 72.4 | −82.3, 31.7 | 0.371 |
| Pain sensitivity to suprathreshold stimuli | ||||
| Pain ratings of heat stimulus (VAS 0–100, n = 13) | 34.4 ± 26.6 | 27.0 ± 23.5 | −27.7, 12.9 | 0.461 |
| Pain ratings of cold stimulus (VAS 0–100) | 40.9 ± 31.0 | 45.5 ± 24.0 | −17.0, 26.2 | 0.664 |
| Cold pain tolerance (s) | 58.7 ± 49.2 | 44.1 ± 43.5 | −50.6, 21.6 | 0.415 |
| Pain modulation | ||||
| Temporal summation (ΔVAS) | 4.0 ± 3.4 | 5.0 ± 5.7 | −2.6, 4.7 | 0.551 |
| Heat CPM response (ΔVAS, n = 12) | −5.5 ± 11.7 | −8.2 ± 18.7 | −16.1, 10.6 | 0.674 |
| Pressure CPM response (ΔkPa) | 8.5 ± 45.1 | −26.3 ± 62.9 | −77.5, 8.0 | 0.106 |
| Offset analgesia (ΔVAS, n = 9) | −4.1 ± 18.8 | 1.1 ± 9.5 | −10.2, 20.6 | 0.474 |
Data is resented as mean ± SD.
CPM, conditioned pain modulation; VAS, visual analogue scale.
Figure 2.

Experimental pain sensitivity between matched girls in early-mid vs. late pubertal maturation. Experimental pain sensitivity was compared between girls who are at the same age but at different pubertal maturation stage. No differences in experimental pain sensitivity were found between the groups. (A) Heat pain thresholds (°C); higher values indicate lower pain sensitivity. (B) Cold pain thresholds (°C); lower values indicate lower pain sensitivity. (C) Pressure pain thresholds (kPa); higher values indicate lower pain sensitivity. (D) Heat pain ratings (0–100) of the tonic heat test stimulus; lower values indicate lower pain sensitivity. (E) Cold pain ratings (0–100) of the conditioning stimulus; lower values indicate lower pain sensitivity. (F) Cold pain tolerance (seconds); higher values indicate lower pain sensitivity. (G) Temporal summation (delta of pain ratings of the 10th mechanical stimuli minus pain ratings of the first mechanical stimuli); negative values indicate lower excitatory response. (H) Heat CPM (delta of pain ratings of heat stimulus delivered together with the conditioning stimulus minus pain ratings of heat stimulus alone); negative values indicate more efficient inhibitory response. (I) Pressure CPM (delta of pressure pain thresholds alone minus pressure pain thresholds delivered together with the conditioning stimulus); negative values indicate more efficient inhibitory response. (J) Offset analgesia (delta of pain ratings of heat stimulus of the 46–47 − 46°C paradigm minus the pain ratings of heat stimulus of a constant 46°C); negative values indicate more efficient inhibitory response. CPM, conditioned pain modulation.
The effect of subjective, relative pubertal timing (ie, if the individual perceives herself as nonnormative in her development, either early or late, compared wih her peers) on experimental pain sensitivity was also examined. Nine girls indicated their pubertal maturation was early relative to their peers, 34 indicated their pubertal maturation was similar to their peers, and 9 girls indicated their pubertal maturation was late relative to their peers. No differences in experimental pain sensitivity were found between the groups (Table 3). When only girls in early and late relative pubertal maturation were compared, similar results were found with no differences in experimental pain sensitivity (Table 3).
Table 3.
Experimental pain sensitivity in girls in relative early vs relative late pubertal maturation.
| Relative early (n = 9) | Same (n = 34) | Relative late (n = 9) | 3-way ANOVA (P) | T-test relative early vs relative late (P) | |
|---|---|---|---|---|---|
| Age (y) | 12.4 ± 1.1 | 11.8 ± 1.6 | 12.2 ± 1.0 | 0.449 | 0.661 |
| PDS score | 2.9 ± 0.7 | 2.6 ± 0.7 | 2.3 ± 0.7 | 0.203 | 0.075 |
| Pain thresholds | |||||
| Heat pain thresholds (°C) | 43.3 ± 3.0 | 41.7 ± 3.0 | 41.4 ± 4.4 | 0.354 | 0.305 |
| Cold pain thresholds (°C) | 13.9 ± 10.4 | 13.1 ± 10.0 | 10.1 ± 11.3 | 0.680 | 0.462 |
| Pressure pain thresholds (kPa) | 191.2 ± 78.6 | 163.8 ± 70.9 | 171.2 ± 90.5 | 0.629 | 0.622 |
| Pain sensitivity to suprathreshold stimuli | |||||
| Pain ratings of heat stimulus (VAS 0–100) | 36.0 ± 30.6 | 33.0 ± 27.4 (n = 28) | 18.3 ± 14.9 (n = 7) | 0.364 | 0.153 |
| Pain ratings of cold stimulus (VAS 0–100) | 49.3 ± 29.2 | 39.4 ± 27.0 | 38.4 ± 35.1 | 0.636 | 0.485 |
| Cold pain tolerance (s) | 37.3 ± 36.7 | 45.7 ± 45.0 | 63.2 ± 45.2 | 0.433 | 0.202 |
| Pain modulation | |||||
| Temporal summation (ΔVAS) | 6.3 ± 5.5 | 4.1 ± 4.5 | 8.3 ± 13.2 | 0.236 | 0.690 |
| Heat CPM response (ΔVAS) | −9.9 ± 17.7 | −5.2 ± 19.0 (n = 27) | −6.2 ± 11.4 (n = 7) | 0.793 | 0.617 |
| Pressure CPM response (ΔkPa) | 6.7 ± 39.7 | −19.0 ± 54.0 (n = 33) | 4.8 ± 41.2 | 0.246 | 0.920 |
| Offset analgesia (ΔVAS) | −14.1 ± 22.0 (n = 8) | −3.7 ± 21.9 (n = 25) | −4.7 ± 11.1 (n = 6) | 0.472 | 0.319 |
Data are presented as mean ± SD.
ANOVA, analysis of variance; CPM, conditioned pain modulation; PDS, pubertal developmental scale; VAS, visual analogue scale.
4. Discussion
This study focused on the role of puberty in experimental pain and found overall no effects of pubertal stage and age on experimental pain sensitivity, using a comprehensive assessment that includes pain thresholds, pain ratings to heat and cold stimuli, and pain modulation tests. Furthermore, no differences in experimental pain sensitivity were found between girls of the same age but at different pubertal maturation stages (early-mid vs late) or between girls at different pubertal timing relative to their peers. Thus, these results suggest that factors other than age and pubertal maturation may affect experimental pain sensitivity in healthy adolescent girls.
Generally, it is difficult to distinguish between puberty-related and age-related effects as age and puberty are highly correlated (ie, older girls are typically more mature). Previous studies mostly focused on age and found that older adolescents (who were probably also more mature) have lower pain sensitivity, but whether it is an age effect or pubertal effect could not be determined.3,4,29,42,44 In this study, age and puberty were only moderately correlated, potentially because of the focus on a relatively small age range (80% of participants were between age 11 and 13 years). The small age range allowed conducting a targeted subanalysis that distinguished between age and puberty by identifying pairs of girls of the same age but at different pubertal statuses. In these analyses, in which age was identical, and girls differed only in the pubertal stage, no differences were found between the groups, confirming the findings of no effect of puberty on individual differences in experimental pain in healthy adolescent girls.
This study found that age was related only to cold pain tolerance, although this was no longer significant after correction for multiple comparisons. One previous study assessed cold pain tolerance in adolescents grouped by age (9–11, 12–14, and 15–17 years) and similarly found that older adolescents had a greater cold pain tolerance.39 However, the lack of relationships between age and the other experimental pain measures may contradict other adolescent studies, which found age effects on experimental pain sensitivity (eg, cold pain thresholds, heat pain thresholds, pressure pain thresholds, mechanical pain thresholds, and temporal summation).3,4,39,43 This could be due to the different analysis approach and/or the relatively narrow age range: in this study, most participants were between age 11 and 13 years, while children and adolescents with a larger age range participated in the previous studies. With this narrow age range, there may be only a small variability in the biopsychosocial factors such as sex hormones, neural function, mood, and relationships with peers and family. These factors change with age/puberty and can affect pain.2,7,15,20,33,36,47 A larger age difference may be related to a larger interindividual variability in these biopsychosocial factors that could affect pain sensitivity. Future studies are needed to identify which biopsychosocial factors may contribute to pubertal/age-related differences in pain to identify new potential interventions for pediatric pain.
This study included an exploratory analysis to assess the subjective self-perceived pubertal timing (subjective feeling of nonnormal maturation relative to same-age peers).10 Developing early or later compared with peers could result in an increased risk of depression and internalizing symptoms,14,40,45 which is related to greater pain sensitivity.1,17 Thus, both relative early and relative late pubertal maturation may result in higher pain sensitivity, which could explain the findings of the lack of differences in experimental pain sensitivity between these 2 groups. However, no effects of perceived relative puberty on experimental pain were observed. Notably, this analysis included a small number of participants, as most participants reported similar pubertal maturation compared with their peers. In addition, although using the PDS survey to assess the subjective self-perceived pubertal timing is common,13,21,22 several previous studies used a different approach to calculate pubertal timing, such as comparing the PDS scores to the average scores of the other study participants who were at the same age and sex and even the same school class.40,45 However, this approach was not feasible in this study, which included participants of different ages who did not know each other. Thus, this study assessed the participant's perception of her development (same vs different from peers) without testing whether the participant's perception is objectively accurate.
Although puberty is a critical period in life related to many changes in experimental and clinical pain, only a few studies comprehensively examined the role of puberty on pain. A key limitation of this study is the relatively small sample, although our sample size allowed us to detect even effects of small size. Nonetheless, even without correcting for multiple comparisons, no relationships were found between pubertal maturation and experimental pain sensitivity. In addition, there are several methods to assess pubertal stages, with Tanner staging being the gold standard.12,18,19,30 In this study, the self-reported PDS questionnaire was used, which is more feasible and widely used in research settings and is significantly correlated with Tanner staging.8,26,41 Importantly, this study used a cross-sectional design and, thus, could not conclude how changes in pubertal maturation/age relate to changes in experimental pain sensitivity. Furthermore, adolescents at different pubertal maturation stages/ages may differ in biopsychosocial factors such as sex hormone levels.2,25 Thus, the role of biopsychosocial factors on experimental pain sensitivity still needs to be examined. Finally, this study focused on girls, and future studies are needed to examine the study aims in boys.
To conclude, this study found overall no effects of pubertal stage and age on experimental pain sensitivity and modulation in healthy girls. Greater effects on experimental pain sensitivity may be found in adolescents with a large age difference, who may have greater individual variability in the biopsychosocial factors that change with age/puberty and can affect pain sensitivity.
Disclosures
The authors have no conflict of interest to declare.
Acknowledgements
This study was funded by NIH (R01NS129742), the International Association for the Study of Pain (Early Career Research Grant) and the International Headache Society (Research into Headache in Children and Adolescents Seed Funding Grant). Data are available upon request.
Footnotes
Sponsorships or competing interests that may be relevant to content are disclosed at the end of this article.
Contributor Information
Gourav Banerjee, Email: gourav@wustl.edu.
Joel Brown, Email: brownjoel@wustl.edu.
Alana McMichael, Email: amcmich@wustl.edu.
Arbi Ben Abdallah, Email: aba@wustl.edu.
Sarah Buday, Email: sbuday@wustl.edu.
Thomas Baranski, Email: baranski@wustl.edu.
Simon Haroutounian, Email: simon.haroutounian@wustl.edu.
Deanna Barch, Email: dbarch@wustl.edu.
Sarah Garwood, Email: garwoods@wustl.edu.
Jacob AuBuchon, Email: jdaubuchon@wustl.edu.
References
- [1].Bakshi N, Lukombo I, Shnol H, Belfer I, Krishnamurti L. Psychological characteristics and pain frequency are associated with experimental pain sensitivity in pediatric patients with sickle cell disease. J Pain 2017;18:1216–28. [DOI] [PubMed] [Google Scholar]
- [2].Biro FM, Pinney SM, Huang B, Baker ER, Walt Chandler D, Dorn LD. Hormone changes in peripubertal girls. J Clin Endocrinol Metab 2014;99:3829–35. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [3].Blankenburg M, Boekens H, Hechler T, Maier C, Krumova E, Scherens A, Magerl W, Aksu F, Zernikow B. Reference values for quantitative sensory testing in children and adolescents: developmental and gender differences of somatosensory perception. PAIN 2010;149:76–88. [DOI] [PubMed] [Google Scholar]
- [4].Blankenburg M, Meyer D, Hirschfeld G, Kraemer N, Hechler T, Aksu F, Krumova EK, Magerl W, Maier C, Zernikow B. Developmental and sex differences in somatosensory perception—a systematic comparison of 7- versus 14-year-olds using quantitative sensory testing. PAIN 2011;152:2625–31. [DOI] [PubMed] [Google Scholar]
- [5].Boerner KE, Birnie KA, Caes L, Schinkel M, Chambers CT. Sex differences in experimental pain among healthy children: a systematic review and meta-analysis. PAIN 2014;155:983–93. [DOI] [PubMed] [Google Scholar]
- [6].Boerner KE, Keogh E, Inkster AM, Nahman-Averbuch H, Oberlander TF. A developmental framework for understanding the influence of sex and gender on health: pediatric pain as an exemplar. Neurosci Biobehav Rev 2024;158:105546. [DOI] [PubMed] [Google Scholar]
- [7].Bramen JE, Hranilovich JA, Dahl RE, Forbes EE, Chen J, Toga AW, Dinov ID, Worthman CM, Sowell ER. Puberty influences medial temporal lobe and cortical gray matter maturation differently in boys than girls matched for sexual maturity. Cereb Cortex 2011;21:636–46. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [8].Brooks-Gunn J, Warren MP, Rosso J, Gargiulo J. Validity of self-report measures of girls' pubertal status. Child Dev 1987;58:829–41. [PubMed] [Google Scholar]
- [9].Carskadon MA, Acebo C. A self-administered rating scale for pubertal development. J Adolesc Health 1993;14:190–5. [DOI] [PubMed] [Google Scholar]
- [10].Carter R, Blazek JL, Kwesele C. Perceptions of pubertal timing relative to peers: comparison targets and social contexts of comparison. Cultur Divers Ethnic Minor Psychol 2020;26:221–8. [DOI] [PubMed] [Google Scholar]
- [11].Cheng HL, Harris SR, Sritharan M, Behan MJ, Medlow SD, Steinbeck KS. The tempo of puberty and its relationship to adolescent health and well-being: a systematic review. Acta Paediatr 2020;109:900–13. [DOI] [PubMed] [Google Scholar]
- [12].Coleman L, Coleman J. The measurement of puberty: a review. J Adolesc 2002;25:535–50. [DOI] [PubMed] [Google Scholar]
- [13].Conley CS, Rudolph KD. The emerging sex difference in adolescent depression: interacting contributions of puberty and peer stress. Dev Psychopathol 2009;21:593–620. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [14].Copeland WE, Worthman C, Shanahan L, Costello EJ, Angold A. Early pubertal timing and testosterone associated with higher levels of adolescent depression in girls. J Am Acad Child Adolesc Psychiatry 2019;58:1197–206. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [15].Craft RM, Mogil JS, Aloisi AM. Sex differences in pain and analgesia: the role of gonadal hormones. Eur J Pain 2004;8:397–411. [DOI] [PubMed] [Google Scholar]
- [16].Crockett LJ, Carlo G, Wolff JM, Hope MO. The role of pubertal timing and temperamental vulnerability in adolescents' internalizing symptoms. Dev Psychopathol 2013;25:377–89. [DOI] [PubMed] [Google Scholar]
- [17].Dickens C, McGowan L, Dale S. Impact of depression on experimental pain perception: a systematic review of the literature with meta-analysis. Psychosom Med 2003;65:369–75. [DOI] [PubMed] [Google Scholar]
- [18].Dorn LD. Measuring puberty. J Adolesc Health 2006;39:625–6. [DOI] [PubMed] [Google Scholar]
- [19].Dorn LD, Dahl RE, Woodward HR, Biro F. Defining the boundaries of early adolescence: a user's guide to assessing pubertal status and pubertal timing in research with adolescents. Appl Develop Sci 2006;10:30–56. [Google Scholar]
- [20].Dourson AJ, Darken RS, Baranski TJ, Gereau RW, Ross WT, Nahman-Averbuch H. The role of androgens in migraine pathophysiology. Neurobiol Pain 2024;16:100171. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [21].Graber JA, Lewinsohn PM, Seeley JR, Brooks-Gunn J. Is psychopathology associated with the timing of pubertal development? J Am Acad Child Adolesc Psychiatry 1997;36:1768–76. [DOI] [PubMed] [Google Scholar]
- [22].Graber JA, Seeley JR, Brooks-Gunn J, Lewinsohn PM. Is pubertal timing associated with psychopathology in young adulthood. J Am Acad Child Adolesc Psychiatry 2004;43:718–26. [DOI] [PubMed] [Google Scholar]
- [23].Hirschfeld G, Zernikow B, Kraemer N, Hechler T, Aksu F, Krumova E, Maier C, Magerl W, Blankenburg M. Development of somatosensory perception in children: a longitudinal QST-Study. Neuropediatrics 2012;43:10–6. [DOI] [PubMed] [Google Scholar]
- [24].Holder MK, Blaustein JD. Puberty and adolescence as a time of vulnerability to stressors that alter neurobehavioral processes. Front Neuroendocrinol 2014;35:89–110. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [25].Huang B, Hillman J, Biro FM, Ding L, Dorn LD, Susman EJ. Correspondence between gonadal steroid hormone concentrations and secondary sexual characteristics assessed by Clinicians, adolescents, and parents. J Res Adolesc 2012;22:381–91. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [26].Koopman-Verhoeff ME, Gredvig-Ardito C, Barker DH, Saletin JM, Carskadon MA. Classifying pubertal development using child and parent report: comparing the pubertal development scales to tanner staging. J Adolesc Health 2020;66:597–602. [DOI] [PubMed] [Google Scholar]
- [27].LeResche L, Mancl LA, Drangsholt MT, Saunders K, Von Korff M. Relationship of pain and symptoms to pubertal development in adolescents. PAIN 2005;118:201–9. [DOI] [PubMed] [Google Scholar]
- [28].Lipton RB, Bigal ME. Migraine: epidemiology, impact, and risk factors for progression. Headache 2005;45(suppl 1):S3–13. [DOI] [PubMed] [Google Scholar]
- [29].Lu Q, Zeltzer LK, Tsao JC, Kim SC, Turk N, Naliboff BD. Heart rate mediation of sex differences in pain tolerance in children. PAIN 2005;118:185–93. [DOI] [PubMed] [Google Scholar]
- [30].Mendle J, Beltz AM, Carter R, Dorn LD. Understanding puberty and its measurement: ideas for research in a new generation. J Res Adolesc 2019;29:82–95. [DOI] [PubMed] [Google Scholar]
- [31].Nahman-Averbuch H, Granovsky Y, Coghill RC, Yarnitsky D, Sprecher E, Weissman-Fogel I. Waning of “conditioned pain modulation”: a novel expression of subtle pronociception in migraine. Headache 2013;53:1104–15. [DOI] [PubMed] [Google Scholar]
- [32].Nahman-Averbuch H, Leon E, Hunter BM, Ding L, Hershey AD, Powers SW, King CD, Coghill RC. Increased pain sensitivity but normal pain modulation in adolescents with migraine. PAIN 2019;160:1019–28. [DOI] [PubMed] [Google Scholar]
- [33].Nahman-Averbuch H, Li R, Boerner KE, Lewis C, Garwood S, Palermo TM, Jordan A. Alterations in pain during adolescence and puberty. Trends Neurosci 2023;46:307–17. [DOI] [PubMed] [Google Scholar]
- [34].Nahman-Averbuch H, Martucci KT, Granovsky Y, Weissman-Fogel I, Yarnitsky D, Coghill RC. Distinct brain mechanisms support spatial vs temporal filtering of nociceptive information. PAIN 2014;155:2491–501. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [35].Nahman-Averbuch H, Piché M, Bannister K, Coghill RC. Involvement of propriospinal processes in conditioned pain modulation. PAIN 2024;165:1907–13. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [36].Nahman-Averbuch H, Schneider VJ, II, Lee GR, Peugh JL, Hershey AD, Powers SW, de Zambotti M, Coghill RC, King CD. New insight into the neural mechanisms of migraine in adolescents: relationships with sleep. Headache 2022;62:668–80. [DOI] [PubMed] [Google Scholar]
- [37].Nahman-Averbuch H, Thomas PL, Schneider VJ, II, Chamberlin LA, Peugh JL, Hershey AD, Powers SW, Coghill RC, King CD. Spatial aspects of pain modulation are not disrupted in adolescents with migraine. Headache 2021;61:485–92. [DOI] [PubMed] [Google Scholar]
- [38].Piekarski DJ, Johnson CM, Boivin JR, Thomas AW, Lin WC, Delevich K, M Galarce E, Wilbrecht L. Does puberty mark a transition in sensitive periods for plasticity in the associative neocortex? Brain Res 2017;1654:123–44. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [39].Schmitz AK, Vierhaus M, Lohaus A. Pain tolerance in children and adolescents: sex differences and psychosocial influences on pain threshold and endurance. Eur J Pain 2013;17:124–31. [DOI] [PubMed] [Google Scholar]
- [40].Seaton EK, Carter R. Pubertal timing, racial identity, neighborhood, and school context among black adolescent females. Cultur Divers Ethnic Minor Psychol 2018;24:40–50. [DOI] [PubMed] [Google Scholar]
- [41].Shirtcliff EA, Dahl RE, Pollak SD. Pubertal development: correspondence between hormonal and physical development. Child Dev 2009;80:327–37. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [42].Tham SW, Palermo TM, Holley AL, Zhou C, Stubhaug A, Furberg AS, Nielsen CS. A population-based study of quantitative sensory testing in adolescents with and without chronic pain. PAIN 2016;157:2807–15. [DOI] [PubMed] [Google Scholar]
- [43].Tsao JC, Seidman LC, Evans S, Lung KC, Zeltzer LK, Naliboff BD. Conditioned pain modulation in children and adolescents: effects of sex and age. J Pain 2013;14:558–67. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [44].van den Bosch GE, van Dijk M, Tibboel D, Valkenburg AJ. Thermal quantitative sensory testing in healthy Dutch children and adolescents standardized test paradigm and Dutch reference values. BMC Pediatr 2017;17:77. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [45].van Rijn R, Lee NC, Hollarek M, Sijtsma H, Walsh RJ, van Buuren M, Braams BR, Krabbendam L. The effect of relative pubertal maturation and perceived popularity on symptoms of depression and social anxiety in adolescent boys and girls. J Youth Adolesc 2023;52:2384–403. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [46].Vijayakumar N, Husin HM, Dashti SG, Mundy L, Moreno-Betancur M, Viner RM, Goddings AL, Robson E, Sawyer SM, Patton GC. Characterization of puberty in an Australian population-based cohort study. J Adolesc Health 2024;74:665–73. [DOI] [PubMed] [Google Scholar]
- [47].Wichstrøm L. The emergence of gender difference in depressed mood during adolescence: the role of intensified gender socialization. Dev Psychol 1999;35:232–45. [PubMed] [Google Scholar]
