1 2 3 Contrasting effects of large density changes on relative testes size in fluctuating populations of sympatric vole species 4 5 Ines Klemme1, Carl D. Soulsbury2, * & Heikki Henttonen3 6 7 1 8 40014 Jyväskylä, Finland 9 2 10 3 Department of Biological and Environmental Science, University of Jyväskyla, PO Box 35, School of Life Sciences, Riseholme Park Campus, University of Lincoln, Lincoln, UK Finnish Forest Research Institute, Vantaa Unit, Vantaa, Finland 11 12 *joint first author 13 14 15 corresponding author: Ines Klemme 16 email address: ines.klemme@jyu.fi 17 18 Summary 19 Across species, there is usually a positive relationship between sperm competition level and 20 male reproductive effort on ejaculates, typically measured using relative testes size. Within 21 populations, demographic and ecological processes may drastically alter the level of sperm 22 competition and thus, potentially affect the evolution of testes size. Here, we use longitudinal 23 records (across 38 years) from wild sympatric Fennoscandian populations of five species of 24 voles to investigate whether relative testes size (RTS) responds to natural fluctuations in 25 population density i.e. variation in sperm competition risk. We show that for some species 26 RTS increases with density. However, our results also show that this relationship can be 27 reversed in populations with large-scale between-year differences in density. Multiple 28 mechanisms are suggested to explain the negative RTS-density relationship, including 29 testes size response to density dependent species interactions, an evolutionary response to 30 sperm competition levels that is lagged when density fluctuations are over a certain 31 threshold, or differing investment in pre- and post-copulatory competition at different 32 densities. The results emphasize that our understanding of sperm competition in fluctuating 33 environments is still very limited. 34 35 36 Keywords: sperm competition, population cycles, density, voles, relative testes size 37 1. Introduction 38 Females of many species mate with multiple males within a single reproductive cycle, 39 providing the conditions for post-copulatory sexual selection [1]. In particular, when the 40 sperm of two or more males compete for fertilisation (sperm competition), selection acts on a 41 number of ejaculate traits that enhance competitive success [2, 3]. Such traits have been 42 shown to be sperm size, motility, longevity and morphology [reviewed in 4]. Moreover, 43 investment in the number of sperm is a key predictor of success in sperm competition [5], 44 which typically manifests itself as increased investment in testicular tissue – the site of 45 spermatogenesis. Indeed, there is considerable evidence of increased sperm competition 46 and larger testes across multiple taxa using both behavioural [6-8] and genetic mating 47 systems [9, 10]. 48 In nature, there can be substantial variation in the degree of sperm competition, both 49 between populations [11] and temporally within populations [12]. Empirical investigations 50 have shown that increasing levels of sperm competition will favour selection for larger testes 51 in invertebrates [13, 14] and greater testicular activity in mammals [15]. However, evidence 52 for natural within-population temporal variation in sperm competition risk and testicular size 53 is limited, within only a single long-term study (9 years of data) of deer mice (Peromyscus 54 maniculatus) showing that testes size correlated positively with density [16]. Large changes 55 in density can affect competition not only for reproduction, but also for other resources such 56 as space and food. These in turn, could potentially feedback and alter the ability of males to 57 invest in reproductive tissue. Thus, knowing if testes size can respond to rapid and large 58 natural changes in sperm competition is an important evolutionary question. 59 Here, we investigated whether relative testes size (RTS) responds to natural 60 fluctuations in density of wild promiscuous arvicoline rodents. In these populations, density is 61 extremely variable undergoing population cycles of 3-5 years [17]. Population density is 62 likely to be directly linked to sperm competition as both inter- and intrasexual home ranges 63 overlap [18, 19] and multiple paternity rates increase at high densities [20, 21]. Using 64 longitudinal records (across 38 years) of testes size from five species of voles, which have 65 undergone variation in the magnitude of population size and changes in the patterns of 66 cyclicity [22, 23], we tested whether RTS was correlated to (i) current spring densities i.e. 67 current sperm competition risk and to (ii) previous year’s spring densities i.e. lagged 68 response in sperm competition risk. We predicted that differences in the scale of fluctuations 69 would alter the relationship between RTS and density. Our results showed that testes size 70 responds to increases in sperm competition in some species, but is constrained in 71 responding to large population fluctuations in others. 72 73 2. Methods 74 (a) Study site and capture methods 75 Vole trapping was conducted in the Pallasjärvi area (68º30’N, 24º09’E) in western Finnish 76 Lapland [for details see 23, 24]. Voles were trapped in three main habitats, i.e. old taiga 77 forests, peatlands and clear cuts. Each main habitat contained 30 permanent trapping 78 quadrats of 15 x 15 m with three snap traps at each corner. In old taiga forests and peatland 79 habitats, trapping quadrats were set in groups of 3 - 7 with a minimum distance between 80 quadrats of 50 m. The distance between the nearest groups was 0.2 – 2.1 km (mean ± SE 81 1.1 ± 0.2). All quadrats in clear cut habitats were set in one large clear cut area. Trapping 82 was carried out biannually in spring/early summer, at the beginning of the breeding season 83 (late May–mid June) and in autumn, at the end of or after the breeding season (September) 84 between 1970 – 2008. We calculated the number of voles trapped per 100 trap nights as an 85 index of density. We collected data on five vole species from two genera; the field vole 86 (Microtus agrestis L.), the root/tundra vole (Microtus oeconomus Pall.), the bank vole 87 (Myodes (formerly Clethrionomys) glareolus Schreb.), the grey-sided vole (Myodes 88 rufocanus Sund.) and the red vole (Myodes rutilus Pall.). For all species, there is evidence 89 for a multi-male mating system [25-29]. 90 91 (b) Testes size 92 Snap-trapped males were taken to the laboratory, dissected and length of the right testis 93 was measured with a ruler to 0.5 mm precision. Typically, testes size is estimated via testes 94 mass [e.g. 7, 8, 10, but see e.g. 30 for a study using testes length], but we show that length 95 is also a reliable measure of testes size in all five species studied: in a subsample of our 96 data length and mass of the right testis (mg) were measured from individual males and 97 found to be correlated (see Results). Further, in deer mice length of one testis is a good 98 proxy for mass of both testes [31]. Body mass in overwintered voles in all species increases 99 with increasing density in a process known as the Chitty effect [32, 33], hence testes size 100 could be increasing through simple allometry [34]. To account for this we used log testes 101 length as the dependent variable and entered body mass as a covariate into the models 102 (hereafter termed relative testes size (RTS)). At this latitude, mature males regress their 103 testes before the onset of winter, but rarely survive the winter. All males born late in the 104 breeding season delay their maturation until the following spring, while males born early in 105 the breeding season mature at the age of 3-4 weeks and have smaller testes size than 106 overwintered males. The spring trapping took place before the young of the year entered the 107 populations, and in few cases with early breeding, young males were easy to identify on the 108 basis of juvenile and early post-juvenile fur and moulting patterns. Thus, we included only 109 overwintered adult voles trapped during spring, and as rarely testicular abnormalities were 110 found, we included only testes length >8mm [35]. Data on testis size were measured 111 between 1970 – 2008. In some years, vole density was 0 (see Table 1). 112 113 (c) Statistical analyses 114 All analyses were carried out in R version 2.14.1 (R development core team 2011). Voles 115 have undergone temporal changes in patterns of cyclicity. The characteristic 4 year vole 116 cycles in the Pallasjärvi area prevailed during 1970 – ca. 1985, but underwent drastic 117 changes in mid 1980s [23, 24]. The population dynamics of some species turned much more 118 stable (multiannual cyclicity lost), and some species became generally much less common 119 (Fig. 1) [23]. However, because we were interested in the amplitude of population changes 120 regardless of cyclicity patterns, we quantified the variation in population density based on the 121 magnitude of population change as the mean±SE change between years (Table 1). Three 122 species retained strong large-scale between-year differences in density throughout the time 123 series (Table 1 and Fig. 1) and thus, the relationship between density and RTS was 124 analysed across the whole 38 years. Because the other two species had distinct periods with 125 both large-scale and small-scale between-year differences (Table 1 and Fig. 1) the 126 relationship between RTS and density was analysed separately for both time periods. For 127 each species we considered the effects of (i) current spring density and (ii) previous spring 128 density. Current spring densities were significantly correlated with previous autumn densities 129 (M. glareolus: r=0.56, P=0.002; M. rutilus: r=0.77, P<0.001; M. oeconomus: r=0.86, P<0.001; 130 M. agrestis: r=0.70, P<0.001: M. rufocanus: r=0.80, P<0.001), but not with previous spring 131 density (M. glareolus: r=0.19, P=0.260; M. rutilus: r=0.04, P=0.818; M. oeconomus: r=0.25, 132 P=0.123; M. agrestis: r=0.14, P=0.402: M. rufocanus: r=0.26, P=0.111). 133 We first carried out a cross-species comparison of allometric relationships using 134 standardized major axis regression (SMA). We tested the relationship between log testes 135 mass and log body mass, log testes length and log body mass, and log testes mass and log 136 testes length. For each model, we tested for species-specific differences in slopes and 137 intercepts with post hoc pairwise analyses where significant. SMA was carried out using the 138 sma function from the R package smatr [36]. 139 For each species, we built linear models with log testes length as a dependent 140 variable, log body mass as a covariate and density as a fixed factor. For each density model 141 (current spring density and previous spring density), we compared the model with and 142 without the interaction using likelihood ratio tests; we report results for the model without 143 interaction if the interaction model is not a significant improvement. Since period and density 144 changes are non-independent, for the two species with marked reductions in density 145 changes (M. oeconomus and M. rufocanus), we considered the two periods separately. For 146 all models, we calculated effect sizes and non-central 95% confidence intervals [37]. 147 148 3. Results 149 (a) Density change and population cycles 150 Even though all vole species showed a decline in multiannual cyclicity (Fig. 1), Myodes 151 glareolus (Fig. 1a), Myodes rutilus (Fig. 1b) and Microtus agrestis (Fig. 1c) retained large- 152 scale between-year differences in density across the dataset (Table 1). In contrast, Microtus 153 oeconomus and Myodes rufocanus showed two distinct periods with much lower variability in 154 densities in the second period (Fig. 1d & e; Table 1). 155 156 (b) Interspecific differences in allometric relationships 157 There were species-specific differences in the slopes of relationship between testes mass 158 and body mass (Likelihood ratio test = 27.08, P<0.001) and in intercepts (Wald χ24 = 1173, 159 P<0.001). Post hoc pairwise analyses showed that slopes of lines for Myodes spp. appeared 160 to be steeper than Microtus spp, although there were also within-genus differences 161 (supplementary Fig. S1). Similarly, the relationship between testes length and body mass 162 differed significantly between species (Slope: LRT=60.06, P<0.001; Intercepts: Wald χ24 163 =5414, P<0.001), with post hoc pairwise analyses showing no differences between species 164 within either the Myodes genus or the Microtus genus, but significant difference between 165 genera (Fig. 2). 166 In contrast, the relationship between testes mass and testes length was isometric 167 between species (Slope: LRT=0.97, P=0.91), but there were species-differences in 168 intercepts (Wald χ24=46.98, P<0.001), mainly driven by species-differences in body mass. 169 For all species, testes mass was significantly related to testes length (M. glareolus: n =116, 170 R2=0.22, P<0.001, M. rufocanus: n=267, R2=0.41, P<0.001, M. rutilus: n = 35, R2=0.21, 171 P=0.005, M. agrestis: n =26, R2=0.71, P<0.001, M. oeconomus: n=31 R2=0.65, P<0.001; 172 Supplementary Fig. S2) 173 174 (c) Density, RTS and large amplitudes of population change 175 For M. glareolus, the best model included the interaction between body mass and density, 176 for both current and past density models (Supplementary Material Table S1). The interaction 177 was not the best model for all other species. For three species (M. glareolus, M. agrestis, M. 178 oeconomus), there was significant negative relationship between RTS and current spring 179 density (Table 2; Fig. 3a, c, d). In contrast, M. rutilus and M. rufocanus both had a positive 180 relationship between RTS and current density (Fig. 3b & e). 181 Relationships between RTS and past density were similar; there was a significant 182 negative relationship between RTS and past density in M. glareolus and M. agrestis, but not 183 M. oeconomus (Table 2). In contrast, M. rutilus showed a significant negative relationship 184 with previous spring density (Table 2). There remained a significant positive relationship 185 between RTS and previous spring density in M. rufocanus (Table 2), but the strength of the 186 relationship was greater than for current spring density. 187 188 (d) Density, RTS and small amplitudes of population change 189 During the small population variability phase, M. oeconomus showed a significant positive 190 relationship between RTS and current spring density, but a significant negative relationship 191 with past spring density (Table 2). For M. rufocanus, there was a weak positive trend with 192 current and past density (Table 2). 193 194 4. Discussion 195 A positive relationship between sperm competition level and gonadal investment has often 196 been demonstrated across taxa and populations [6-11, 13, 14, 38], but within-population 197 studies are rare. A single study on a population showed a positive relationship with testes 198 size in deer mice [16]. However, our long term multi-species data on fluctuating populations 199 suggest that the relationship between density and RTS is somewhat more complex. During 200 periods with small-scale differences in density, there was a positive relationship between 201 RTS and current spring density in 2/2 species. In contrast, during periods with large-scale 202 differences in density only 2/5 species showed a positive relationship of current density and 203 RTS, while the other 3 species showed a negative relationship. Relationships between RTS 204 and past density were similar, though a positive relationship was found in only 1/5 species 205 during periods with large population fluctuations and 1/2 species during small population 206 fluctuations. Thus, our data partly support theoretical models that predict increased 207 investment in testicular tissue in response to increases sperm competition [39], but also 208 show that this relationship can be reversed when populations fluctuate strongly in density. 209 We found genera-specific relationships between testes size and body mass that are 210 indicative of higher RTS in Myodes compared to Microtus species. Due to differences in the 211 spatio-social organisation between genera, Myodes voles may face higher levels of sperm 212 competition. Males of Microtus agrestis and Microtus oeconomus defend exclusive 213 intrasexually territories that overlap with several smaller female home ranges [40, 41], 214 leading to female biased operational sex ratios [40, 42]. In contrast, male home ranges of 215 Myodes voles overlap extensively with both several conspecific males and intrasexually 216 territorial females [43]. Thus, although all studied species are polyandrous, males may be 217 better able to monopolize females in Microtus spp. compared to males of Myodes spp. In 218 addition, sperm competition levels may increase with density at a faster rate in Myodes 219 voles, because intrasexual range overlap increases with density [44]. 220 In contrast, the observed differences in the relationship of testes size and density were 221 not genera specific, and there are at least three possible explanations as to why the species 222 responded differentially. Firstly, testis size may not only be affected by sperm competition 223 level, but also by a density dependent rise in competition for other resources, such as space 224 and food. Our site of study is characterized by an exceptionally high number of co-occurring 225 arvicoline species (N=8) that face competitive interactions [45, 46]. During peak phases of 226 synchronous population density oscillations, the habitats of these species increasingly 227 overlap causing not only an increase in intraspecific, but also in interspecific interactions 228 [47]. Earlier studies on Microtus and Myodes voles have shown that stress hormone levels 229 increase with density [48-50], probably due to a rise in intrinsic social stress. This may 230 feedback negatively on reproductive physiology and thus, may affect testes growth. Given 231 that breeding males of both Microtus species studied here are strictly territorial, stress levels 232 are particularly expected to rise with density when competition for territories increases. 233 Indeed, a study on two Microtus species showed that aggressive behaviour of voles 234 changed during the population cycles with males from peak populations being most 235 aggressive [51]. In addition to space deprivation, high density vole populations can also face 236 food deprivation beyond levels that cause malnutrition [e.g. 52, 53]. This in turn induces poor 237 physiological condition of individuals [54] and thus may significantly affect investment in 238 reproductive tissues. For example, studies on wild rabbit (Oryctolagus cuniculus) populations 239 that differ in food quality showed significant differences in testes development [55]. Further, 240 in insects food deprivation has been shown to negatively affect testis mass [56] and sperm 241 production [57, 58]. Among all Myodes species studied here, M. glareolus showed the 242 highest abundances (Fig. 1) as well as greater RTS. Thus, intraspecific competition is 243 expected to be most intense, potentially explaining the negative relationship between RTS 244 and density in M. glareolus. 245 A second explanation could be that there is differing investment in pre- and post- 246 copulatory competition at different densities [59]. For example, in meadow voles (Microtus 247 pennsylvanicus) mate guarding may be more effective at acquiring reproductive success at 248 high densities, placing emphasis on greater male body mass rather than spermatogenic 249 tissue [60]. In Microtus agrestis too, the ability to defend a territory depends solely on the 250 ability to fight and is thus likely related to body size [43]. Male Myodes glareolus, on the 251 other hand, regulate dominance hierarchies mostly through social odours [43], and males 252 with greater body mass are more successful when sperm competition levels are low (female 253 biased operational sex ratio) compared to situations with strong sperm competition (male 254 biased operational sex ratio) [61]. Hence, investment in pre- and post-copulatory tactics may 255 vary with sperm competition risk and possibly between species. However, given that we 256 found no genera specific difference in the relationship of RTS and density that would relate 257 to the different spatio-social organisation, this explanation seems less likely. 258 A third explanation for our results could be the difference in an evolutionary response 259 due to sexual selection or from a plastic response to prevailing levels of sperm competition. 260 In a highly variable social environment, such as fluctuating populations, we would expect to 261 see selection on phenotypic plasticity in testes size, so that males would be able to respond 262 quickly to current strengths of sperm competition [62]. Indeed, several studies on 263 invertebrates have shown that individuals raised under high densities during sexual 264 development grow larger testis than individuals raised under low densities [63-65]. Here, the 265 positive relationship of RTS and current density may also suggest phenotypic plasticity in 266 testes size; however, it is not clear why it evolved only in 2/5 species. In general, phenotypic 267 plasticity may involve substantial energetic and genetic costs [66], potentially decreasing its 268 adaptive value. Thus, the negative relationship between RTS and density in 3/5 species may 269 have an underlying genetic basis. Experimental evolutionary studies on invertebrates have 270 shown significant testis size divergence between lines with (polygamy) and without 271 (monogamy) sperm competition [13, 14, 67]. However, it is possible that large changes in 272 density are too rapid for testes size to co-evolve with sperm competition risk. Here, testes 273 size does increase as a result of an allometric increase in body size [Chitty effect; 32, 33]. 274 But the change in body size may occur at a faster rate than in testes, leading to a lagged 275 evolutionary response in relative testes size. Consequently, under continuously strong 276 density fluctuations, RTS may be low when densities are high and high when densities are 277 low. Therefore, population fluctuations may cause male voles to invest heavily under low 278 competition and little under high competition. While the first implies fitness costs from 279 unnecessary energetic expenditure, the latter causes fitness costs due to poor competitive 280 ability. However, other components of the ejaculate may be able to compensate the 281 suboptimal testes size. Studies on rodents indicated developmental plasticity in sperm 282 production rate and the size of major accessory reproductive glands, instead of testis size 283 [68-70]. Further, one experimental evolution study on house mice (Mus domesticus) 284 indicated that testes size may not respond to increasing levels of sperm competition at least 285 initially (generation 8), instead sperm production may evolve faster [15].This may be realised 286 by an increase of sperm producing tissue within the testis as observed in birds [71]. 287 Additionally, also ejaculate quality may be increased, but in rodents such sperm competition 288 metrics are typically strongly related to RTS [72-75]. 289 In summary, our long-term data on natural populations of five sympatric vole species 290 show that demographic factors affect the evolution of testes size. Our data partly support the 291 assumption that sperm competition selects for increased investment in testicular tissue, but 292 also show that strong fluctuations in population density can reverse this relationship. This 293 may be due to an increased competition at high densities, differing investment in pre- and 294 post-copulatory competition at different densities or an evolutionary response to sperm 295 competition levels that is lagged when density fluctuations are over a certain threshold. 296 Overall, testes size can be a good measure of sperm competition levels, particularly for 297 cross-species comparisons [10], but our results indicate that caution must be taken in simple 298 inference about intraspecific variation, particularly in systems where sperm competition risk 299 or intensity can be highly variable or different male mating strategies may change with 300 density. 301 302 According to the Finnish Act on the Use of Animals for Experimental Purposes (62/2006) 303 and a further decision by the Finnish Animal Experiment Board (16th May, 2007), the animal 304 capture technique we used, i.e., traps that instantly kill the animal, is not considered an 305 animal experiment and therefore requires no animal ethics license from the Finnish Animal 306 Experiment Board. Permits (23/5713/2001, 4/5713/2007 and 7/5713/2013) for capturing 307 protected species (in our study M. rutilus and M. rufocanus) were granted by the Finnish 308 Ministry of the Environment. None of the captured species are included in the Red List of 309 Finnish Species. 310 311 5. Acknowledgments 312 We are grateful to Tommaso Pizzari and two anonymous reviewers for extremely helpful and 313 insightful comments. We are also grateful to the members of the Sexual Selection 314 Discussion Group at the University of Jyväskylä, Paul Eady, Renée Firman and Leigh 315 Simmons for comments on earlier drafts of this manuscript. The Pallasjärvi studies have 316 been supported by various grants from the University of Helsinki, the Finnish Academy, the 317 Finnish Forest Research Institute and the EU. 318 319 320 6. Data accessibility 321 We provide all data via Dryad repository (doi:10.5061/dryad.p8791). 322 323 324 7. References 325 1. 326 York, Academic Press. 327 2. 328 insects. 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Due to temporal 533 changes in patterns of cyclicity ca. mid 1980s, and species specific temporal variation in 534 mean autumn density change, we analysed the relationship between density and RTS either 535 across the whole 38 years (M. glareolus, M. rutilus and M. agrestis) or separately for time 536 periods with large-scale and small-scale between-year differences (M. oeconmus and M. 537 rufocanus). N = total samples of adult males used in the analyses. Years with testes size 538 data = number of years in which testes size was measured. 539 540 Table 2: β±SE, t and p values for linear models for the relationship between testes length 541 and body mass and current or past density. Results are shown for periods with large and 542 small density changes separately. Effect sizes (r) and 95% confidence intervals (CI) are 543 shown. Conventions for effect sizes: small effect r=0·10, medium effect r=0·30, large effect 544 r=0·50 [76]. For full 38 year dataset: Microtus oeconomus (mass: Estimate=0.17±0.02, t= 545 6.88, P<0.001; spring density= -0.05± 0.00, t= -10.95, P<0.001) and Myodes rufocanus 546 (Estimate=0.14±0.0, t= 5.75, P<0.001; spring density: Estimate=0.00± 0.00, t=2.31, P=0.02). 547 548 Figure 1: Line charts showing spring and autumn densities (voles per 100 trap nights) from 549 1970-2008 in (a) Myodes glareolus, (b) Myodes rutilus, (c) Microtus agrestis , (d) Microtus 550 oeconomus and (e) Myodes rufocanus 551 552 Figure 2: The relationship between log testes mass (mg) and log testes length (mm) for all 5 553 vole species (Myodes glareolus: dark blue, Microtus agrestis: green, Myodes rutilius: red, 554 Myodes rufocanus: yellow, Microtus oeconomus: light blue). Slopes of lines for all Myodes 555 spp. were significantly different from Microtus spp., but there were no significant differences 556 within genus. 557 558 Figure 3: Surface plot showing the relationship between log testes length (mm), log body 559 mass (g) and current density (voles per 100 trap nights) in (a) Myodes glareolus, (b) Myodes 560 rutilus, (c) Microtus agrestis, (d) Microtus oeconomus and (e) Myodes rufocanus. Table 1 species years Myodes glareolus (N=1065) 1970-1985 8.70±1.95 14 1986-2008 7.60±1.37 19 1970-1985 3.75±0.99 9 1986-2008 2.34±0.99 15 1970-1979 6.11±1.88 4 1980-2008 2.16±0.18 19 Microtus oeconomus (N=157) 1970-1989 2.64±0.65 9 1990-2008 0.56±0.26 12 1970-1985 3.04±1.00 9 1986-2008 0.51±0.12 15 Myodes rutilus (N=267) Microtus agrestis (N=200) Myodes rufocanus (N=507) mean±SE autumn density change years with testis size data Table 2 population phase large density changes species Myodes glareolus Myodes glareolus Myodes rutilus Myodes rutilus Microtus agrestis Microtus agrestis Microtus oeconomus Microtus oeconomus Myodes rufocanus Myodes rufocanus small density changes Microtus oeconomus Microtus oeconomus Myodes rufocanus Myodes rufocanus variable body mass current density body mass x current density body mass past density body mass x current density body mass current density body mass past density body mass current density body mass past density body mass current density body mass past density body mass current density body mass past density body mass current density body mass past density body mass past density body mass past density β 0.51 0.12 -0.04 0.37 0.05 -0.02 0.10 0.01 0.15 -0.01 0.26 -0.01 0.23 -0.01 0.15 -0.02 0.12 -0.01 0.23 0.01 0.30 0.03 0.16 0.18 0.13 -0.21 0.00 0.05 0.03 0.02 SE 0.05 0.02 0.01 0.03 0.02 0.01 0.04 0.00 0.04 0.00 0.03 0.00 0.03 0.00 0.03 0.01 0.03 0.01 0.03 0.00 0.02 0.00 0.03 0.08 0.03 0.06 0.06 0.03 0.06 0.01 t 12.10 5.46 -5.54 11.82 2.54 -2.68 2.83 5.31 4.32 -2.85 8.47 -3.76 7.74 -2.64 4.97 -3.39 3.53 -0.83 9.13 5.35 12.24 11.00 4.77 2.11 3.96 -3.82 0.07 1.70 0.46 1.47 p <0.001 <0.001 <0.001 <0.001 0.011 0.007 <0.001 <0.001 <0.001 0.004 <0.001 <0.001 <0.001 <0.001 <0.001 <0.001 <0.001 0.408 <0.001 <0.001 <0.001 <0.001 <0.001 0.038 <0.001 <0.001 0.948 0.094 0.648 0.145 r 0.35 0.17 0.17 0.35 0.08 0.08 0.17 0.31 0.26 -0.17 0.52 -0.26 0.48 -0.18 0.48 -0.35 0.36 -0.09 0.40 0.25 0.50 0.46 0.51 0.25 0.43 -0.42 0.12 0.20 0.08 0.18 95% CI (0.30/0.40) (0.11/0.22) (0.11/0.22) (0.29/0.39) (0.02/0.14) (0.02/0.14) (0.05/0.28) (0.20/0.41) (0.14/0.36) (-0.28/-0.05) (0.41/0.60) (0.38/0.12) (0.37/0.57) (-0.31/-0.05) (0.30/0.61) (-0.51/-0.15) (0.16/0.52) (-0.29/0.13) (0.32/0.47) (0.16/0.33) (0.43/0.56) (0.39/0.53) (0.30/0.64) (0.01/044) (0.22/0.59) (-0.58/-0.21) (-0.12/0.33) (-0.04/0.41) (-0.16/0.30) (-0.06/0.39)