Association between Early Life Child Development and Family Dog Ownership: A Prospective Birth Cohort Study of the Japan Environment and Children’s Study
Abstract
:1. Introduction
2. Materials and Methods
2.1. Study Design
2.2. Ethical Statement
2.3. Study Population
2.4. Self-Administered Questionnaires
2.5. Exposure Definitions
2.6. Outcome Definitions
2.7. Statistical Analyses
3. Results
4. Discussion
5. Conclusions
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
Appendix A
References
- Smith, B. The pet effect-health related aspects of companion animal ownership. Aust. Fam. Physician 2012, 41, 439–442. [Google Scholar] [PubMed]
- Daly, B.; Morton, L. An investigation of human-animal interactions and empathy as related to pet preference, ownership, attachment, and attitudes in children. Anthrozoös 2006, 19, 113–127. [Google Scholar] [CrossRef]
- Poresky, R.H. Companion Animals and other Factors Affecting Young Children’s Development. Anthrozoös 1996, 9, 159–168. [Google Scholar] [CrossRef]
- Endenburg, N.; van Lith, H.A. The influence of animals on the development of children. Vet. J. 2011, 190, 208–214. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Jacobson, K.C.; Chang, L. Associations between pet ownership and attitudes toward pets with youth socioemotional outcomes. Front. Psychol. 2018, 9, 2304. [Google Scholar] [CrossRef] [PubMed]
- Christian, H.; Trapp, G. Understanding the relationship between dog ownership and children’s physical activity and sedentary behaviour. Pediatr. Obes. 2013, 8, 392–403. [Google Scholar] [CrossRef] [Green Version]
- Keil, A.P.; Daniels, J.L.; Hertz-Picciotto, I. Autism spectrum disorder, flea and tick medication, and adjustments for exposure misclassification: The CHARGE (CHildhood Autism Risks from Genetics and Environment) case–control study. Environ. Health 2014, 13, 3. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Miles, J.N.V.; Parast, L.; Babey, S.H.; Griffin, B.A.; Saunders, J.M. A propensity-score-weighted population-based study of the health benefits of dogs and cats for children. Anthrozoös 2017, 30, 429–440. [Google Scholar] [CrossRef]
- Allen, K.; Shykoff, B.E.; Izzo, J.J.L. Pet ownership, but not ace inhibitor therapy, blunts home blood pressure responses to mental stress. Hypertension 2001, 38, 815–820. [Google Scholar] [CrossRef] [Green Version]
- Binfet, J.-T.; Passmore, H.-A. Hounds and homesickness: The effects of an animal-assisted therapeutic intervention for first-year university students. Anthrozoös 2016, 29, 441–454. [Google Scholar] [CrossRef]
- Le Roux, M.C.; Swartz, L.; Swart, E. The effect of an animal-assisted reading program on the reading rate, accuracy and comprehension of grade 3 students: A randomized control study. Child. Youth Care Forum. 2014, 43, 655–673. [Google Scholar] [CrossRef]
- Minatoya, M.; Araki, A.; Miyashita, C.; Itoh, S.; Kobayashi, S.; Yamazaki, K.; Bamai, Y.A.; Saijyo, Y.; Ito, Y.; Kishi, R.; et al. Cat and dog ownership in early life and infant development: A prospective birth cohort study of japan environment and children’s study. Int. J. Environ. Res. Public Health 2019, 17, 205. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Michikawa, T.; Nitta, H.; Nakayama, S.F.; Yamazaki, S.; Isobe, T.; Tamura, K.; Suda, E.; Ono, M.; Yonemoto, J.; Iwai-Shimada, M.; et al. Baseline profile of participants in the japan environment and children’s study (JECS). J. Epidemiol. 2018, 28, 99–104. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Kawamoto, T.; Nitta, H.; Murata, K.; Toda, E.; Tsukamoto, N.; Hasegawa, M.; Yamagata, Z.; Kayama, F.; Kishi, R.; Ohya, Y.; et al. Rationale and study design of the Japan environment and children’s study (JECS). BMC Public Health 2014, 14, 25. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Michikawa, T.; Nitta, H.; Nakayama, S.F.; Ono, M.; Yonemoto, J.; Tamura, K.; Suda, E.; Ito, H.; Takeuchi, A.; Kawamoto, T. The japan environment and children’s study (JECS): A preliminary report on selected characteristics of approximately 10 000 pregnant women recruited during the first year of the study. J. Epidemiol. 2015, 25, 452–458. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Squire, J.; Twombly, E.; Bricker, D.; Potter, L. ASQ-3: User’s Guide; Paul, H., Ed.; Brookes Publishing: Baltimore, MD, USA, 2009. [Google Scholar]
- Mezawa, H.; Aoki, S.; Nakayama, S.F.; Nitta, H.; Ikeda, N.; Kato, K.; Tamai, S.; Takekoh, M.; Sanefuji, M.; Ohga, S.; et al. Psychometric profile of the ages and stages questionnaires, Japanese translation. Pediatr. Int. 2019, 61, 1086–1095. [Google Scholar] [CrossRef]
- Fukuhara, S.; Suzukamo, Y. Manual of the SF-8 Japanese Version; Institute for Health Outcome and Process Evaluation Research: Kyoto, Japan, 2004. [Google Scholar]
- Jakobsen, J.C.; Gluud, C.; Wetterslev, J.; Winkel, P. When and how should multiple imputation be used for handling missing data in randomised clinical trials–a practical guide with flowcharts. BMC Med. Res. Methodol. 2017, 17, 162. [Google Scholar] [CrossRef] [Green Version]
- Chen, H.; Cohen, P.; Chen, S. How big is a big odds ratio? interpreting the magnitudes of odds ratios in epidemiological studies. Commun. Stat. Simul. Comput. 2010, 39, 860–864. [Google Scholar] [CrossRef]
- Association, J.P.F. Ownership of Dogs and Cats Survey Results. 2019. Available online: https://petfood.or.jp/data/chart2019/3.pdf (accessed on 17 May 2021).
- Hamazaki, K.; Tsuchida, A.; Takamori, A.; Tanaka, T.; Ito, M.; Inadera, H. Dietary intake of fish and ω-3 polyunsaturated fatty acids and physician-diagnosed allergy in Japanese population: The Japan Environment and Children’s Study. Nutrition 2019, 61, 194–201. [Google Scholar] [CrossRef]
- Sato, R.; Fujiwara, T.; Kino, S.; Nawa, N.; Kawachi, I. Pet ownership and children’s emotional expression: Propensity score-matched analysis of longitudinal data from Japan. Int. J. Environ. Res. Public Health 2019, 16, 758. [Google Scholar] [CrossRef] [Green Version]
- Westgarth, C.; Heron, J.; Ness, A.R.; Bundred, P.; Gaskell, R.M.; Coyne, K.P.; German, A.J.; McCune, S.; Dawson, S. Family pet ownership during childhood: Findings from a UK birth cohort and implications for public health research. Int. J. Environ. Res. Public Health 2010, 7, 3704–3729. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Purewal, R.; Christley, R.; Kordas, K.; Joinson, C.; Meints, K.; Gee, N.; Westgarth, C. Socio-demographic factors associated with pet ownership amongst adolescents from a UK birth cohort. BMC Veter. Res. 2019, 15, 1–15. [Google Scholar] [CrossRef]
- Purewal, R.; Christley, R.; Kordas, K.; Joinson, C.; Meints, K.; Gee, N.; Westgarth, C. Companion animals and child/adolescent development: A systematic review of the evidence. Int. J. Environ. Res. Public Health 2017, 14, 234. [Google Scholar] [CrossRef]
- Maruyama, M. The Effects of Animals on Children’s Development of Perspective-Taking Abilities; Portland State University: Portland, OR, USA, 2010. [Google Scholar]
- Christian, H.; Mitrou, F.; Cunneen, R.; Zubrick, S.R. Pets are associated with fewer peer problems and emotional symptoms, and better prosocial behavior: Findings from the longitudinal study of Australian children. J. Pediatr. 2020, 220, 200–206. [Google Scholar] [CrossRef]
- Gadomski, A.M.; Scribani, M.B.; Krupa, N.; Jenkins, P.; Nagykaldi, Z.; Olson, A.L. Pet dogs and children’s health: Opportunities for chronic disease prevention? Prev. Chronic Dis. 2015, 12, 205. [Google Scholar] [CrossRef] [Green Version]
- Payne, E.; Bennett, P.; McGreevy, P. Current perspectives on attachment and bonding in the dog–human dyad. Psychol. Res. Behav. Manag. 2015, 8, 71–79. [Google Scholar] [CrossRef] [Green Version]
- Santrock, J. A Topical Approach to Lifespan Development, 4th ed.; McGraw-Hill: New York, NJ, USA, 2008. [Google Scholar]
- Hawkins, R.D.; Williams, J.M.; Scottish, S. Society For The prevention of cruelty to animals scottish, childhood attachment to pets: Associations between pet attachment, attitudes to animals, compassion, and humane behaviour. Int. J. Environ. Res. Public Health 2017, 14, 490. [Google Scholar] [CrossRef]
- Bowlby, J. The nature of the child’s tie to his mother. Int J Psychoanal. 1958, 39, 350–373. [Google Scholar] [PubMed]
- Kennedy, J.H.; Kennedy, C.E. Attachment theory: Implications for school psychology. Psychol. Sch. 2004, 41, 247–259. [Google Scholar] [CrossRef]
- Franzoi, S. Essentials of Psychology; BVT Publishing: Redding, CA, USA, 2014. [Google Scholar]
- Wright, H.F.; Hall, S.; Hames, A.; Hardiman, J.; Mills, R.; Team, P.; Mills, D.S. Acquiring a pet dog significantly reduces stress of primary carers for children with autism spectrum disorder: A prospective case control study. J. Autism Dev. Disord. 2015, 45, 2531–2540. [Google Scholar] [CrossRef] [Green Version]
- McCullough, A.; Ruehrdanz, A.; Jenkins, M.A.; Gilmer, M.J.; Olson, J.; Pawar, A.; Holley, L.; Sierra-Rivera, S.; Linder, D.E.; Pichette, D.; et al. Measuring the effects of an animal-assisted intervention for pediatric oncology patients and their parents: A multisite randomized controlled trial [formula: See text]. J. Pediatr. Oncol. Nurs. 2018, 35, 159–177. [Google Scholar] [CrossRef] [PubMed]
- Black, K. The relationship between companion animals and loneliness among rural adolescents. J. Pediatr. Nurs. 2012, 27, 103–112. [Google Scholar] [CrossRef] [PubMed]
- Paul, E.; Serpell, J. Obtaining a new pet dog: Effects on middle childhood children and their families. Appl. Anim. Behav. Sci. 1996, 47, 17–29. [Google Scholar] [CrossRef]
- Mathers, M.; Canterford, L.; Olds, T.; Waters, E.; Wake, M. Pet ownership and adolescent health: Cross-sectional population study. J. Paediatr. Child. Health 2010, 46, 729–735. [Google Scholar] [CrossRef]
- Kertes, D.A.; Liu, J.; Hall, N.J.; Hadad, N.A.; Wynne, C.D.; Bhatt, S.S. Effect of pet dogs on children’s perceived stress and cortisol stress response. Soc. Dev. 2017, 26, 382–401. [Google Scholar] [CrossRef] [PubMed]
All (n = 78,941) | Never (n = 65,986) | Ever (n = 12,955) | p-Value | |||||
---|---|---|---|---|---|---|---|---|
Past Only (n = 6745) | Current Only (n = 654) | Always (n = 5556) | ||||||
Parental | ||||||||
Maternal age at delivery (years) | 31.5 ± 4.9 | 31.7 ± 4.9 | 30.2 ± 5.2 | 30.0 ± 5.2 | 31.2 ± 5.2 | <0.001 | ||
Parity | Nulliparous | 32,461 (41.1) | 26,458 (40.1) | 3264 (48.4) | 214 (32.7) | 2525 (45.4) | <0.001 | |
Multipara | 44,565 (56.5) | 37,982 (57.6) | 3293 (48.8) | 419 (64.1) | 2871 (51.7) | |||
Missing | 1915 (2.4) | 1546 (2.3) | 188 (2.8) | 21 (3.2) | 160 (2.9) | |||
Maternal smoking during pregnancy | Yes | 2699 (3.4) | 2013 (3.1) | 297 (4.4) | 39 (6.0) | 350 (6.3) | <0.001 | |
No | 75,275 (95.4) | 63,203 (95.8) | 6351 (94.1) | 603 (92.2) | 5118 (92.0) | |||
Missing | 967 (1.2) | 770 (1.1) | 97 (1.4) | 12 (1.8) | 88 (1.6) | |||
Maternal alcohol consumption during pregnancy | Yes | 2092 (2.7) | 1717 (2.6) | 187 (2.8) | 26 (4.0) | 162 (2.9) | 0.062 | |
No | 75,858 (96.1) | 63,464 (96.2) | 6473 (96.0) | 162 (24.8) | 5308 (95.5) | |||
Missing | 991 (1.3) | 805 (1.2) | 85 (1.3) | 15 (2.3) | 86 (1.5) | |||
Maternal education (years) | <13 | 26,297 (33.3) | 21,062 (31.9) | 2671 (40.0) | 291 (44.5) | 2273 (40.9) | <0.001 | |
≥13 | 51,845 (65.7) | 44,296 (67.1) | 3993 (59.2) | 351 (53.7) | 3205 (57.7) | |||
Missing | 799 (1.0) | 628 (1.0) | 81 (1.2) | 12 (1.8) | 78 (1.4) | |||
Paternal education (years) | <13 | 32,479 (41.1) | 26,067 (39.5) | 3267 (48.4) | 364 (55.7) | 2781 (50.1) | <0.001 | |
≥13 | 45,272 (57.3) | 38,999 (59.1) | 3348 (49.6) | 274 (41.8) | 2651 (47.7) | |||
Missing | 1190 (1.5) | 920 (1.4) | 130 (1.9) | 16 (2.4) | 124 (2.2) | |||
Family income during pregnancy (million JPY) | <4 | 28,398 (36.0) | 23,514 (35.6) | 2527 (37.5) | 297 (45.4) | 2060 (37.1) | <0.001 | |
≥4 | 44,854 (56.8) | 38,116 (57.8) | 3444 (51.1) | 297 (45.4) | 2997 (53.9) | |||
Missing | 5689 (7.2) | 4356 (6.6) | 774 (11.4) | 60 (9.2) | 499 (9.0) | |||
Maternal HRQOL | PCS | Low (<50) | 31,166 (39.5) | 25,958 (39.3) | 2761 (40.9) | 240 (36.7) | 2207 (39.7) | 0.018 |
High (≥50) | 40,495 (51.3) | 34,015 (51.5) | 3361 (49.8) | 343 (52.4) | 2776 (50.0) | |||
Missing | 7280 (9.2) | 6013 (9.1) | 623 (9.2) | 71 (10.9) | 573 (10.3) | |||
MCS | Low (<50) | 40,367 (51.1) | 33,691 (51.1) | 3570 (52.9) | 348 (53.2) | 2758 (49.6) | 0.001 | |
High (≥50) | 31,876 (40.4) | 26,778 (40.6) | 2582 (38.3) | 245 (37.5) | 2271 (40.9) | |||
Missing | 6698 (8.5) | 5517 (8.3) | 593 (8.8) | 61 (9.3) | 527 (9.5) | |||
Maternal smoking at 3 years of age | Yes | 7312 (9.3) | 5557 (8.4) | 837 (12.4) | 112 (17.1) | 806 (14.5) | <0.001 | |
No | 70,953 (89.9) | 59,895 (90.8) | 5835 (86.5) | 533 (81.5) | 4687 (84.4) | |||
Missing | 676 (0.8) | 534 (0.8) | 73 (1.1) | 9 (1.4) | 63 (1.1) | |||
Paternal smoking at 3 years of age | Yes | 27,735 (35.1) | 22,224 (33.7) | 2846 (42.2) | 298 (45.6) | 2367 (42.6) | <0.001 | |
No | 49,055 (62.1) | 42,077 (63.8) | 3654 (54.0) | 328 (50.2) | 2996 (53.9) | |||
Missing | 2151 (2.7) | 1685 (2.6) | 245 (3.6) | 28 (4.3) | 193 (3.5) | |||
Family income at 3 years of age (million JPY) | <4 | 24,796 (31.4) | 20,148 (30.5) | 2505 (37.1) | 257 (39.3) | 1886 (33.9) | <0.001 | |
≥4 | 50,118 (63.5) | 42,604 (64.6) | 3789 (56.2) | 363 (55.5) | 3362 (60.5) | |||
Missing | 4027 (5.1) | 3234 (4.9) | 451 (6.7) | 34 (5.2) | 308 (5.5) | |||
Child | ||||||||
Sex | Male | 40,465 (51.3) | 33,845 (51.3) | 3443 (51.0) | 314 (48.0) | 2863 (51.5) | 0.380 | |
Female | 38,476 (48.7) | 32,141 (48.7) | 3302 (49.0) | 340 (52.0) | 2696 (48.5) | |||
Birth weight (g) | 3011 ± 427 | 3011 ± 427 | 3016 ± 421 | 3019 ± 393 | 3006 ± 435 | 0.700 | ||
Birth length (cm) | 48.9 ± 2.3 | 48.9 ± 2.3 | 48.9 ± 2.3 | 48.9 ± 2.2 | 48.8 ± 2.4 | 0.175 | ||
Gestational age (weeks) | 39.2 ± 1.6 | 39.2 ± 1.6 | 39.3 ± 1.6 | 39.2 ± 1.5 | 39.2 ± 1.6 | 0.005 | ||
Delivery mode | Vaginal | 63,117 (80.0) | 52,846 (80.1) | 5410 (80.2) | 538 (82.3) | 4323 (77.8) | <0.001 | |
Cesarean | 15,480 (19.6) | 12,849 (19.5) | 1309 (19.4) | 111 (17.0) | 141 (25.4) | |||
Missing | 344 (0.4) | 291 (0.4) | 26 (0.4) | 5 (0.8) | 22 (0.4) | |||
Weight at 3 years of age (kg) | 13.5 ± 2.4 | 13.5 ± 2.4 | 13.5 ± 2.1 | 13.4 ± 1.5 | 13.5 ± 2.2 | 0.463 | ||
Height at 3 years of age (cm) | 91.7 ± 12.9 | 91.6 ± 12.2 | 91.7 ± 11.6 | 92.8 ± 35.2 | 91.8 ± 17.1 | 0.066 | ||
ETS exposure at 3 years of age | Never/seldom | 63,182 (80.0) | 53,606 (81.2) | 5016 (74.4) | 451 (69.0) | 4109 (74.0) | <0.001 | |
Sometimes | 12,625 (16.0) | 9985 (15.1) | 1359 (20.1) | 155 (23.7) | 1126 (20.3) | |||
Often | 2432 (3.1) | 1818 (2.8) | 308 (4.6) | 42 (6.4) | 264 (4.8) | |||
Missing | 702 (0.9) | 577 (0.9) | 62 (0.9) | 6 (0.9) | 57 (1.0) | |||
Daycare attendance at 3 years of age | Yes | 47,962 (60.8) | 39,834 (60.4) | 4293 (63.6) | 422 (64.5) | 3413 (61.4) | <0.001 | |
No | 28,621 (36.3) | 24,180 (36.6) | 2243 (33.3) | 209 (32.0) | 1989 (35.8) | |||
Missing | 2358 (3.0) | 1972 (3.0) | 209 (3.1) | 23 (3.5) | 154 (2.8) |
ASQ-3 Domain | Cutoff | All (n = 78,941) | Never (n = 65,986) | Ever (n = 12,955) | p-Value | |
---|---|---|---|---|---|---|
Communication | 29.95 | Mean ± SD | 53.06 ± 55.35 | 53.03 ± 10.80 | 53.06 ± 10.73 | |
Pass | 75,456 (95.6) | 63,019 (95.5) | 12,437 (96.0) | 0.005 | ||
Fail | 3279 (4.2) | 2800 (4.2) | 478 (3.7) | |||
Missing | 206 (0.3) | 167 (0.3) | 49 (0.3) | |||
Gross motor | 39.26 | Mean ± SD | 55.35 ± 8.55 | 55.29 ± 8.63 | 55.35 ± 8.55 | |
Pass | 75,119 (95.2) | 62,705 (95.0) | 12,414 (95.8) | <0.001 | ||
Fail | 3725 (4.7) | 3209 (4.9) | 516 (4.0) | |||
Missing | 97 (0.1) | 72 (0.1) | 25 (0.2) | |||
Fine motor | 27.91 | Mean ± SD | 49.08 ± 12.86 | 49.10 ± 12.86 | 49.08 ± 12.86 | |
Pass | 72,357 (91.7) | 60,504 (91.7) | 11,853 (91.5) | 0.539 | ||
Fail | 6186 (7.8) | 5154 (7.8) | 1032 (8.0) | |||
Missing | 398 (0.5) | 328 (0.5) | 70 (0.5) | |||
Problem-solving | 30.03 | Mean ± SD | 51.75 ± 10.98 | 51.71 ± 11.04 | 51.75 ± 10.98 | |
Pass | 72,179 (91.4) | 60,282 (91.4) | 11,897 (91.8) | 0.005 | ||
Fail | 5936 (7.5) | 5040 (7.6) | 896 (6.9) | |||
Missing | 826 (1.0) | 664 (1.0) | 162 (1.3) | |||
Personal-social | 29.89 | Mean ± SD | 50.33 ± 10.22 | 50.28 ± 10.26 | 50.33 ± 10.22 | |
Pass | 75,937 (96.2) | 63,431 (96.1) | 12,506 (96.5) | 0.006 | ||
Fail | 2735 (3.5) | 2339 (3.5) | 396 (3.1) | |||
Missing | 269 (0.3) | 216 (0.3) | 53 (0.4) |
OR (95% CI) | ||
---|---|---|
ASQ-3 Domain | Never | Ever |
Communication | 1.00 | 0.87 (0.78, 0.96) ** |
Gross motor | 1.00 | 0.83 (0.76, 0.92) ** |
Fine motor | 1.00 | 0.98 (0.91, 1.05) |
Problem-solving | 1.00 | 0.89 (0.83, 0.96) ** |
Personal-social | 1.00 | 0.86 (0.77, 0.97) * |
OR (95% CI) | ||||
---|---|---|---|---|
ASQ-3 Domain | Never (n = 65,986) | Past Only (n = 6745) | Current Only (n = 654) | Always (n = 5556) |
Communication | 1.00 | 0.89 (0.78, 1.02) | 0.64 (0.40, 1.05) | 0.87 (0.75, 1.00) |
Gross motor | 1.00 | 0.83 (0.73, 0.95) * | 0.66 (0.42, 1.05) | 0.86 (0.75, 0.98) * |
Fine motor | 1.00 | 0.95 (0.86, 1.05) | 0.87 (0.64, 1.20) | 1.02 (0.92, 1.13) |
Problem-solving | 1.00 | 0.87 (0.79, 0.97) * | 0.89 (0.65, 1.22) | 0.91 (0.82, 1.02) |
Personal-social | 1.00 | 0.92 (0.79, 1.06) | 0.83 (0.51, 1.35) | 0.81 (0.68, 0.95) * |
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. |
© 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
Minatoya, M.; Ikeda-Araki, A.; Miyashita, C.; Itoh, S.; Kobayashi, S.; Yamazaki, K.; Ait Bamai, Y.; Saijo, Y.; Sato, Y.; Ito, Y.; et al. Association between Early Life Child Development and Family Dog Ownership: A Prospective Birth Cohort Study of the Japan Environment and Children’s Study. Int. J. Environ. Res. Public Health 2021, 18, 7082. https://doi.org/10.3390/ijerph18137082
Minatoya M, Ikeda-Araki A, Miyashita C, Itoh S, Kobayashi S, Yamazaki K, Ait Bamai Y, Saijo Y, Sato Y, Ito Y, et al. Association between Early Life Child Development and Family Dog Ownership: A Prospective Birth Cohort Study of the Japan Environment and Children’s Study. International Journal of Environmental Research and Public Health. 2021; 18(13):7082. https://doi.org/10.3390/ijerph18137082
Chicago/Turabian StyleMinatoya, Machiko, Atsuko Ikeda-Araki, Chihiro Miyashita, Sachiko Itoh, Sumitaka Kobayashi, Keiko Yamazaki, Yu Ait Bamai, Yasuaki Saijo, Yukihiro Sato, Yoshiya Ito, and et al. 2021. "Association between Early Life Child Development and Family Dog Ownership: A Prospective Birth Cohort Study of the Japan Environment and Children’s Study" International Journal of Environmental Research and Public Health 18, no. 13: 7082. https://doi.org/10.3390/ijerph18137082
APA StyleMinatoya, M., Ikeda-Araki, A., Miyashita, C., Itoh, S., Kobayashi, S., Yamazaki, K., Ait Bamai, Y., Saijo, Y., Sato, Y., Ito, Y., Kishi, R., & The Japan Environment and Children’s Study Group. (2021). Association between Early Life Child Development and Family Dog Ownership: A Prospective Birth Cohort Study of the Japan Environment and Children’s Study. International Journal of Environmental Research and Public Health, 18(13), 7082. https://doi.org/10.3390/ijerph18137082