|
1
|
Celsi RL, Rose RL and Leigh TW: An
exploration of high-risk leisure consumption through skydiving. J
Consum Res. 20:1–23. 1993. View
Article : Google Scholar
|
|
2
|
Pedersen DM: Perceptions of high risk
sports. Percept Mot Skills. 85:756–758. 1997. View Article : Google Scholar : PubMed/NCBI
|
|
3
|
Zuckerman M: Dimensions of sensation
seeking. J Consult Clin Psychol. 36:45–52. 1971. View Article : Google Scholar
|
|
4
|
Zuckerman M: Behavioral Expressions and
Biosocial Bases of Sensation Seeking. Cambridge University Press;
New York, NY: 1994
|
|
5
|
Zuckerman M: Sensation Seeking and risky
driving, sports, and vocations. Sensation seeking and risky
behavior. American Psychological Association; Washington, DC: pp.
73–106. 2007, View Article : Google Scholar
|
|
6
|
Costa PT Jr and McCrae RR: Personality
disorders and the five-factor model of personality. J Pers Disord.
4. pp. 362–371. 1990, View Article : Google Scholar
|
|
7
|
Digman JM: Personality structure:
Emergence of the five-factor model. Annu Rev Psychol. 41:417–440.
1990. View Article : Google Scholar
|
|
8
|
Bermúdez J: Personality and
health-protective behavior. Eur J Pers. 13:83–103. 1999. View Article : Google Scholar
|
|
9
|
Clarke S and Robertson IT: A meta-analytic
review of the big five personality factors and accident involvement
in occupational and non-occupational settings. J Occup Organ
Psychol. 78:355–376. 2005. View Article : Google Scholar
|
|
10
|
Vollrath M and Torgersen S: Who takes
health risks? A probe into eight personality types. Pers Individ
Dif. 32:1185–1198. 2002. View Article : Google Scholar
|
|
11
|
Castanier C, Scanff CL and Woodman T: Who
takes risks in high-risk sports? A typological personality
approach. Res Q Exerc Sport. 81:478–484. 2010. View Article : Google Scholar : PubMed/NCBI
|
|
12
|
Tulloch J and Lupton D: Risk and everyday
life. SAGE Publications Ltd.; London: 2003
|
|
13
|
Lyng S: Edgework: The sociology of risk
taking. Routledge, London: pp. 17–49. 2005
|
|
14
|
Barlow M, Woodman T and Hardy L: Great
expectations: different high-risk activities satisfy different
motives. J Pers Soc Psychol. 105:458–475. 2013. View Article : Google Scholar : PubMed/NCBI
|
|
15
|
Hare OA, Wetherell MA and Smith MA: State
anxiety and cortisol reactivity to skydiving in novice versus
experienced skydivers. Physiol Behav. 118:40–44. 2013. View Article : Google Scholar : PubMed/NCBI
|
|
16
|
Bołdak A and Guszkowska M: State anxiety
change after a parachute jump and its determinants: gender,
experience, and temperament features. Biomed Hum Kinet. 5:113–120.
2013. View Article : Google Scholar
|
|
17
|
Breedlove SM and Hampson E: Sexual
differentiation of the brain and behaviour. Behavioral
Endocrinology. Becker J, Breedlove SM, Crews D and McCarthy MM:
2nd. MIT Press; Cambridge, MA: pp. 75–114. 2002
|
|
18
|
Tobet SA and Baum MJ: Role for prenatal
estrogen in the development of masculine sexual behavior in the
male ferret. Horm Behav. 21:419–429. 1987. View Article : Google Scholar : PubMed/NCBI
|
|
19
|
Ronay R and Von Hippel W: Power,
testosterone, and risk-taking. J Behav Decis Mak. 23:473–482. 2010.
View Article : Google Scholar
|
|
20
|
Boissy A and Bouissou M: Effects of
androgen treatment on behavioural and physiological responses of
heifers to fear-eliciting situations. Horm Behav. 28:66–83. 1994.
View Article : Google Scholar : PubMed/NCBI
|
|
21
|
Andrew RJ and Rogers LJ: Testosterone,
search behaviour and persistence. Nature. 237:343–346. 1972.
View Article : Google Scholar : PubMed/NCBI
|
|
22
|
Apicella CL, Dreber A, Campbell B, Gray P,
Hoffman M and Little A: Testosterone and financial risk
preferences. Evol Hum Behav. 29:384–390. 2008. View Article : Google Scholar
|
|
23
|
Booth A, Johnson DR and Granger DA:
Testosterone and men's health. J Behav Med. 22:1–19. 1999.
View Article : Google Scholar : PubMed/NCBI
|
|
24
|
Salminen EK, Portin RI, Koskinen A,
Helenius H and Nurmi M: Associations between serum testosterone
fall and cognitive function in prostate cancer patients. Clin
Cancer Res. 10:7575–7582. 2004. View Article : Google Scholar : PubMed/NCBI
|
|
25
|
Irimia V: Physical Risk-Taking, Digit
Ratio, and Circulating Testosterone (unpublished PhD thesis).
Concordia University. 2017.
|
|
26
|
Cohen-Bendahan CC, van de Beek C and
Berenbaum SA: Prenatal sex hormone effects on child and adult
sex-typed behavior: Methods and findings. Neurosci Biobehav Rev.
29:353–384. 2005. View Article : Google Scholar : PubMed/NCBI
|
|
27
|
Neyse L and Brañas-Garza P: Digit Ratio
Measurement Guide. Kiel Institute for the World Economy. 2014.
|
|
28
|
Manning JT, Scutt D, Wilson J and
Lewis-Jones DI: The ratio of 2nd to 4th digit length: A predictor
of sperm numbers and concentrations of testosterone, luteinizing
hormone and oestrogen. Hum Reprod. 13:3000–3004. 1998. View Article : Google Scholar : PubMed/NCBI
|
|
29
|
Berenbaum SA, Bryk KK, Nowak N, Quigley CA
and Moffat S: Fingers as a marker of prenatal androgen exposure.
Endocrinology. 150:5119–5124. 2009. View Article : Google Scholar : PubMed/NCBI
|
|
30
|
Manning JT: Resolving the role of prenatal
sex steroids in the development of digit ratio. Proc Natl Acad Sci
USA. 108:16143–16144. 2011. View Article : Google Scholar : PubMed/NCBI
|
|
31
|
McIntyre MH: The use of digit ratios as
markers for perinatal androgen action. Reprod Biol Endocrinol.
4:102006. View Article : Google Scholar : PubMed/NCBI
|
|
32
|
Voracek M, Dressler SG and Manning JT:
Evidence for assortative mating on digit ratio (2D:4D), a biomarker
for prenatal androgen exposure. J Biosoc Sci. 39:599–612. 2007.
View Article : Google Scholar : PubMed/NCBI
|
|
33
|
Fink B, Manning JT and Neave N: Second to
fourth digit ratio and the ‘big five’ personality factors. Pers
Individ Dif. 37:495–503. 2004. View Article : Google Scholar
|
|
34
|
Fink B, Neave N, Laughton K and Manning
JT: Second to fourth digit ratio and sensation seeking. Pers
Individ Dif. 41:1253–1262. 2006. View Article : Google Scholar
|
|
35
|
Coates JM, Gurnell M and Rustichini A:
Second-to-fourth digit ratio predicts success among high-frequency
financial traders. Proc Natl Acad Sci USA. 106:623–628. 2009.
View Article : Google Scholar : PubMed/NCBI
|
|
36
|
Stenstrom E, Saad G, Nepomuceno MV and
Mendenhall Z: Testosterone and domain-specific risk: Digit ratios
(2D:4D and rel2) as predictors of recreational, financial, and
social risk-taking behaviors. Pers Individ Dif. 51:412–416. 2011.
View Article : Google Scholar
|
|
37
|
Coco M and Perciavalle V, Maci T,
Nicoletti F, Di Corrado D and Perciavalle V: The second-to-fourth
digit ratio correlates with the rate of academic performance in
medical school students. Mol Med Rep. 4:471–476. 2011.PubMed/NCBI
|
|
38
|
Tester N and Campbell A: Sporting
achievement: What is the contribution of digit ratio? J Pers.
75:663–677. 2007. View Article : Google Scholar : PubMed/NCBI
|
|
39
|
Manning JT: The ratio of 2nd to 4th digit
length and performance in skiing. J Sports Med Phys Fitness.
42:446–450. 2002.PubMed/NCBI
|
|
40
|
Manning JT and Taylor RP: Second to fourth
digit ratio and male ability in sport: Implications for sexual
selection in humans. Evol Hum Behav. 22:61–69. 2001. View Article : Google Scholar : PubMed/NCBI
|
|
41
|
Perciavalle V, Di Corrado D, Petralia MC,
Gurrisi L, Massimino S and Coco M: The second-to-fourth digit ratio
correlates with aggressive behavior in professional soccer players.
Mol Med Rep. 7:1733–1738. 2013. View Article : Google Scholar : PubMed/NCBI
|
|
42
|
Voracek M, Tran US and Dressler SG: Digit
ratio (2D: 4D) and sensation seeking: New data and meta-analysis.
Pers Individ Dif. 48:72–77. 2010. View Article : Google Scholar
|
|
43
|
Garbarino E, Slonim R and Sydnor J: Digit
ratios (2D: 4D) as predictors of risky decision making for both
sexes. J Risk Uncertain. 42:1–26. 2011. View Article : Google Scholar
|
|
44
|
Caprara GV, Barbaranelli C, Borgogni L and
Vecchione M: BFQ-2. Big Five Questionnaire 2. Giunti Organizzazioni
Speciali; Firenze: 2008
|
|
45
|
Edwards AL and Edwards LK: Social
desirability and Wiggin's MMPI content scales. J Pers Soc Psychol.
62:147–153. 1992. View Article : Google Scholar : PubMed/NCBI
|
|
46
|
Spielberger CD: Manual for the State
-Trait Anxiety Inventory (STAI). Consulting Psychologists Press;
Palo Alto, CA: 1983
|
|
47
|
McNair D, Lorr M and and Droppleman LF:
Manual for the Profile of Mood States. Educational and Industrial
Testing Services; San Diego, CA: 1971
|
|
48
|
Woodman T, Barlow M, Bandura C, Hill M,
Kupciw D and Macgregor A: Not all risks are equal: The risk taking
inventory for high-risk sports. J Sport Exerc Psychol. 35:479–492.
2013. View Article : Google Scholar : PubMed/NCBI
|
|
49
|
Kimura S, Schaumann BA, Plato CC and
Kitagawa T: Embryological development and prevalence of digital
flexion creases. Anat Rec. 226:249–257. 1990. View Article : Google Scholar : PubMed/NCBI
|
|
50
|
Manning JT, Churchill AJ and Peters M: The
effects of sex, ethnicity, and sexual orientation on self-measured
digit ratio (2D:4D). Arch Sex Behav. 36:223–233. 2007. View Article : Google Scholar : PubMed/NCBI
|
|
51
|
Williams TJ, Pepitone ME, Christensen SE,
Cooke BM, Huberman AD, Breedlove NJ, Breedlove TJ, Jordan CL and
Breedlove SM: Finger-length ratios and sexual orientation. Nature.
404:455–456. 2000. View Article : Google Scholar : PubMed/NCBI
|
|
52
|
Costa PT Jr and McCrae RR: NEO PI-R
professional manual. Psychological Assessment Resources, Inc.;
Odessa, FL: 1992
|
|
53
|
Van Vugt M and Hart CM: Social identity as
social glue: the origins of group loyalty. J Pers Soc Psychol.
86:585–598. 2004. View Article : Google Scholar : PubMed/NCBI
|
|
54
|
Price IR and Bundesen C: Emotional changes
in skydivers in relation to experience. Pers Individ Dif.
38:1203–1211. 2004. View Article : Google Scholar
|
|
55
|
Lavallée L and Flint F: The relationship
of stress, competitive anxiety, mood state, and social support to
athletic injury. J Athl Train. 31:296–299. 1996.PubMed/NCBI
|
|
56
|
Hirschfeld RM, Holzer C, Calabrese JR,
Weissman M, Reed M, Davies M, Frye MA, Keck P, McElroy S, Lewis L,
et al: Validity of the mood disorder questionnaire: A general
population study. Am J Psychiatry. 160:178–180. 2003. View Article : Google Scholar : PubMed/NCBI
|
|
57
|
Thatcher J, Reeves S, Dorling D and Palmer
A: Motivation, stress, and cortisol responses in skydiving. Percept
Mot Skills. 97:995–1002. 2003. View Article : Google Scholar : PubMed/NCBI
|
|
58
|
Petralia MC, Perciavalle V, Basile MS,
Alagona G, Monaca A, Buscemi A and Coco M: The rise of lactic acid,
from a pharmacist's laboratory to entry into the central nervous
system. Sport Sci Health. 14:455–457. 2018. View Article : Google Scholar
|
|
59
|
Coco M, Platania S, Castellano S, Sagone
E, Ramaci T, Petralia MC, Agati M, Massimino S, Di Corrado D,
Guarnera M, et al: Memory, personality and blood lactate during a
judo competition. Sport Sci Health. (In press).
|
|
60
|
Coco M, Alagona G, De Maria G, Rapisarda
G, Costanzo E and Perciavalle V and Perciavalle V: Relationship of
high blood lactate levels with latency of visual-evoked potentials.
Neurol Sci. 36:541–546. 2015. View Article : Google Scholar : PubMed/NCBI
|
|
61
|
Coco M, Fiore AS and Perciavalle V, Maci
T, Petralia MC and Perciavalle V: Stress exposure and postural
control in young females. Mol Med Rep. 11:2135–2140. 2015.
View Article : Google Scholar : PubMed/NCBI
|
|
62
|
Coco M, Alagona G and Perciavalle V,
Rapisarda G, Costanzo E and Perciavalle V: Brainstem excitability
is not influenced by blood lactate levels. Somatosens Mot Res.
30:90–95. 2013. View Article : Google Scholar : PubMed/NCBI
|
|
63
|
Perciavalle V, Alagona G, De Maria G,
Rapisarda G, Costanzo E, Perciavalle V and Coco M: Somatosensory
evoked potentials and blood lactate levels. Neurol Sci.
36:1597–1601. 2015. View Article : Google Scholar : PubMed/NCBI
|
|
64
|
Perciavalle V, Di Corrado D, Scuto C,
Perciavalle V and Coco M: Attention and blood lactate levels in
equestrians performing show jumping. Percept Mot Skills.
118:733–745. 2014. View Article : Google Scholar : PubMed/NCBI
|
|
65
|
Perciavalle V, Marchetta NS, Giustiniani
S, Borbone C, Perciavalle V, Petralia MC, Buscemi A and Coco M:
Attentive processes, blood lactate and CrossFit®. Phys
Sportsmed. 44:403–406. 2016. View Article : Google Scholar : PubMed/NCBI
|
|
66
|
Coco M: The brain behaves as a muscle?
Neurol Sci. 38:1865–1868. 2017. View Article : Google Scholar : PubMed/NCBI
|
|
67
|
Coco M, Alagona G, Perciavalle V,
Perciavalle V, Cavallari P and Caronni A: Changes in cortical
excitability and blood lactate after a fatiguing hand-grip
exercise. Somatosens Mot Res. 31:35–39. 2014. View Article : Google Scholar : PubMed/NCBI
|
|
68
|
Perciavalle V, Di Corrado D, Scuto C,
Perciavalle V and Coco M: Anthropometrics related to the
performance of a sample of male swimmers. Percept Mot Skills.
118:940–950. 2014. View Article : Google Scholar : PubMed/NCBI
|
|
69
|
Aspara J and Van Den Bergh B: Naturally
designed for masculinity vs. femininity? Prenatal testosterone
predicts male consumers' choices of gender-imaged products. Int J
Res Mark. 31:117–121. 2014. View Article : Google Scholar
|
|
70
|
Lens I, Driesmans K, Pandelaere M and
Janssens K: Would male conspicuous consumption capture the female
eye? Menstrual cycle effects on women's attention to status
products. J Exp Soc Psychol. 48:346–349. 2012. View Article : Google Scholar
|
|
71
|
Saad G and Stenstrom E: Calories, beauty,
and ovulation: The effects of the menstrual cycle on food and
appearance-related consumption. J Consum Psychol. 22:102–113. 2012.
View Article : Google Scholar
|
|
72
|
Durante KM, Griskevicius V, Hill SE,
Perilloux C and Li NP: Ovulation, female competition, and product
choice: Hormonal influences on consumer behavior. J Consum Res.
37:921–934. 2010. View
Article : Google Scholar
|
|
73
|
Coco M, Alagona G, Perciavalle V,
Perciavalle V, Cavallari P and Caronni A: Changes in cortical
excitability and blood lactate after a fatiguing hand-grip
exercise. Somatosens Mot Res. 31:35–39. 2014. View Article : Google Scholar : PubMed/NCBI
|
|
74
|
Fornaro M, De Berardis D, De Pasquale C,
Indelicato L, Pollice R, Valchera A, Perna G, Iasevoli F, Tomasetti
C, Martinotti G, et al: Prevalence and clinical features associated
to bipolar disorder-migraine comorbidity: A systematic review.
Compr Psychiatry. 56:1–16. 2015. View Article : Google Scholar : PubMed/NCBI
|
|
75
|
Conti D, Di Nuovo S, Cangelosi A and Di
Nuovo A: Lateral specialization in unilateral spatial neglect: A
cognitive robotics model. Cogn Process. 17:321–328. 2016.
View Article : Google Scholar : PubMed/NCBI
|
|
76
|
Conti D, Di Nuovo A, Cirasa C and Di Nuovo
S: A comparison of kindergarten storytelling by human and humanoid
robot with different social behavior. HRI ′17. Proceedings of the
Companion of the 2017 ACM/IEEE International Conference on
Human-Robot Interaction - HRI ′17. ACM; New York, NY: pp. 97–98.
2017, View Article : Google Scholar
|
|
77
|
Petralia MC, Coco M, Maci T, Minissale C,
De Pasquale C, D'orto G, Basile MS, Donato E, Maniaci M, Commodari
E, et al: Successfully aging. Choice of life or life that choices?
Acta Med Mediter. 34:1072018.
|
|
78
|
Saad G and Vongas JG: The effect of
conspicuous consumption on men's testosterone levels. Organ Behav
Hum Decis Process. 110:80–92. 2009. View Article : Google Scholar
|
