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Journal articles on the topic 'Child factors'

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Published: 4 June 2021
Last updated: 1 February 2022

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1

CEDERBORG, ANN-CHRISTIN. "Factors influencing child witnesses." Scandinavian Journal of Psychology 45, no. 3 (July 2004): 197–205. http://dx.doi.org/10.1111/j.1467-9450.2004.00395.x.

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2

Giuseppone, Kathryn R., and Laura E. Brumariu. "Mother-child disagreements on child anxiety: associated factors." Journal of Children's Services 12, no. 4 (December 18, 2017): 257–70. http://dx.doi.org/10.1108/jcs-11-2016-0021.

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Purpose Previous literature demonstrated low-to-moderate rates of agreement between children and mothers regarding child anxiety. The purpose of this paper is to evaluate factors related to differences between mother-child dyads who disagreed vs agreed in their reports of child anxiety symptoms. Design/methodology/approach In total, 87 children aged 9-12 years old and their mothers completed questionnaires regarding maternal perceptions of child behavior, maternal separation anxiety about the child’s individuation, and mother-child relationship characteristics. Findings The results showed that mothers in mother-child dyads who disagreed on child anxiety symptoms, compared to those in dyads who agreed on child anxiety symptoms, perceived their children as showing higher affect intensity and behavioral problems. They also expressed greater anxiety about the children’s individuation process, characterized in part by children’s increased autonomy and decline of reliance on them. Further, children in dyads who disagreed, compared to those in dyads who agreed, reported lower mother-child attachment security. Originality/value The results extend the literature by identifying specific factors related to the discrepancy between mothers’ and children’s reports of childhood anxiety in early adolescence. The results highlight the need to consider both mothers’ and children’s views when assessing childhood anxiety. Importantly, the results also indicate that specific factors investigated in this study, including maternal perception of children’s behavioral problems and their affect intensity, maternal anxiety about child individuation, and mother-child attachment security, could be used to inform clinical decisions regarding informant discrepancies.
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3

Schumacher, Julie A., Amy M. Smith Slep, and Richard E. Heyman. "Risk factors for child neglect." Aggression and Violent Behavior 6, no. 2-3 (March 2001): 231–54. http://dx.doi.org/10.1016/s1359-1789(00)00024-0.

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4

Douglas, Willard H. "Factors in Determining Child Support." Juvenile and Family Court Journal 36, no. 3 (August 1985): 27–32. http://dx.doi.org/10.1111/j.1755-6988.1985.tb00550.x.

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5

Rajput, Aatir H., Sidra Humayoon, and Muhammad Muneeb. "Factors Affecting Child Gender Desirability." INTERNATIONAL JOURNAL OF ENDORSING HEALTH SCIENCE RESEARCH (IJEHSR) 4, no. 1 (March 1, 2016): 01. http://dx.doi.org/10.29052/ijehsr.v4.i1.2016.1-6.

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6

Auerbach, Charles, Wendy Zeitlin, Astraea Augsberger, Brenda G. McGowan, Nancy Claiborne, and Catherine K. Lawrence. "Societal Factors Impacting Child Welfare." Research on Social Work Practice 25, no. 3 (April 21, 2014): 305–12. http://dx.doi.org/10.1177/1049731514530001.

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7

Kaberuka, Will, Alex Mugarura, Javan Tindyebwa, and Debra S. Bishop. "Factors determining child mortality in Uganda." International Journal of Social Economics 44, no. 5 (May 8, 2017): 633–42. http://dx.doi.org/10.1108/ijse-08-2015-0201.

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Purpose The purpose of this paper is to establish socio-economic factors and maternal practices that determine child mortality in Uganda. Design/methodology/approach The paper examines the role of sex, birth weight, birth order and duration of breastfeeding of a child; age, marital status and education of the mother; and household wealth in determining child mortality. The study employs a logistic regression model to establish which of the factors significantly impacts child mortality in Uganda. Findings The study established that education level, age and marital status of the mother as well as household wealth significantly impact child mortality. Also important are the sex, birth weight, birth order and breastfeeding duration. Research limitations/implications Policies aimed at promoting breastfeeding and education of female children can make a significant contribution to the reduction of child mortality in Uganda. Practical implications Health care intervention programs should focus on single, poor and uneducated mothers as their children are at great risk due to poor and inadequate health care utilization. Originality/value This paper could be the first effort in examining child mortality status in Uganda using a logistic regression model.
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8

Garralda, M. E., and D. Bailey. "Child and Family Factors Associated with Referral to Child Psychiatrists." British Journal of Psychiatry 153, no. 1 (July 1988): 81–89. http://dx.doi.org/10.1192/bjp.153.1.81.

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We compared children aged 7–12 years referred to child psychiatrists by general practitioners (GPs) with community control children matched for the presence of psychiatric disorder. Referral status in psychiatrically disturbed children was linked to male sex, severity of the disorder, mental problems in the mothers, high levels of psychosocial stress in the family, and less support from extended families. For the whole group of referred children, the referral was associated with high antisocial scores on parental questionnaires, with parental reports of problems in controlling the children, and of high levels of stress felt in relation to them. In addition, parents of referred children were in disadvantaged socioeconomic groups.
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9

Yirga, Ashenafi Argaw, Henry G. Mwambi, Dawit Getnet Ayele, and Sileshi Fanta Melesse. "Factors affecting child malnutrition in Ethiopia." African Health Sciences 19, no. 2 (August 20, 2019): 1897. http://dx.doi.org/10.4314/ahs.v19i2.13.

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10

Kuzina, Viktorija. "FACTORS INFLUENCING THE CHILD LANGUAGE DEVELOPMENT." SOCIETY. INTEGRATION. EDUCATION. Proceedings of the International Scientific Conference 2 (May 26, 2016): 404. http://dx.doi.org/10.17770/sie2016vol2.1407.

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Childhood is the basis for both life and language acquisition. The child language is greatly influenced by the language environment – parents and other family members, teachers, as well as movies, TV and radio broadcasting, theatre performances, books. Meanwhile exploring the world and characterizing it, the child gradually acquires the skill to use in its language synonyms, antonyms, phraseology, comparisons, learns to understand foreign origin words used on daily basis, etc.In order to establish, which factors are influencing positively the child language development, a questionnaire was worked out. Students, general education school teachers, as well as the preschool education teachers completed the questionnaire. The research on the factors influencing the children's language development was accomplished in the framework of the Norwegian project in 2015. The results of the questionnaire and opinion polls prove, the childhood stage is very significant in the child language development, and really great is the responsibility of adults (parents and teachers), to ensure that this process develops as valid, interesting and exciting for the child. One of the conditions for successful acquisition of the Latvian language vocabulary stock is the example shown by the speech of adults. The use of illiterate language must also be eliminated from schools, mass media, etc.
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11

Lupu, Valeriu, Vasile Valeriu Lupu, Ancuta Lupu, and Laura Bozomitu. "Social risk factors and child health." Pediatru.ro 1, no. 57 (2020): 10. http://dx.doi.org/10.26416/pedi.57.1.2020.3065.

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12

Holden, K. R. "Emerging epigenetic factors in child neurology." European Journal of Paediatric Neurology 12 (May 2008): S24. http://dx.doi.org/10.1016/s1090-3798(08)70077-1.

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13

HORNOR, G. "Child sexual abuse: Psychosocial risk factors." Journal of Pediatric Health Care 16, no. 4 (July 2002): 187–92. http://dx.doi.org/10.1016/s0891-5245(02)00004-4.

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14

Black, Danielle A., Richard E. Heyman, and Amy M. Smith Slep. "Risk factors for child physical abuse." Aggression and Violent Behavior 6, no. 2-3 (March 2001): 121–88. http://dx.doi.org/10.1016/s1359-1789(00)00021-5.

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15

Black, Danielle A., Amy M. Smith Slep, and Richard E. Heyman. "Risk factors for child psychological abuse." Aggression and Violent Behavior 6, no. 2-3 (March 2001): 189–201. http://dx.doi.org/10.1016/s1359-1789(00)00022-7.

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16

Black, Danielle A., Richard E. Heyman, and Amy M. Smith Slep. "Risk factors for child sexual abuse." Aggression and Violent Behavior 6, no. 2-3 (March 2001): 203–29. http://dx.doi.org/10.1016/s1359-1789(00)00023-9.

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17

Adlakha, Arjun L., and C. M. Suchindran. "Factors affecting infant and child mortality." Journal of Biosocial Science 17, no. 4 (October 1985): 481–96. http://dx.doi.org/10.1017/s0021932000015996.

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SummaryThis paper examines the determinants of infant and child mortality variations in four near east countries using data from WFS surveys. The analysis considers biological correlates of mortality—mother's age, birth order, birth interval, and previous infant loss—and several social factors—mother's and father's education, mother's residence, father's occupation, and mother's work experience since marriage. A multivariate analysis using a logistic regression model is carried out to obtain the net effect of each factor on mortality. Separate models are constructed for infant mortality and childhood mortality and for each country.The four countries show large variations in mortality, but this is persistently higher in female than male children. All four demographic characteristics affect mortality significantly, especially the length of the preceding birth interval. Among the socioeconomic variables, only rural–urban residence is influential.
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18

Earls, Felton. "Community Factors Supporting Child Mental Health." Child and Adolescent Psychiatric Clinics of North America 10, no. 4 (October 2001): 693–709. http://dx.doi.org/10.1016/s1056-4993(18)30025-7.

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19

Hornor, Gail. "Child sexual abuse: Psychosocial risk factors." Journal of Pediatric Health Care 16, no. 4 (July 2002): 187–92. http://dx.doi.org/10.1067/mph.2002.122223.

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20

Hall, Lynne A., Mary Kay Rayens, and Ann R. Peden. "Maternal Factors Associated With Child Behavior." Journal of Nursing Scholarship 40, no. 2 (June 2008): 124–30. http://dx.doi.org/10.1111/j.1547-5069.2008.00216.x.

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21

Hungerford, Anne, and Martha J. Cox. "Family Factors in Child Care Research." Evaluation Review 30, no. 5 (October 2006): 631–55. http://dx.doi.org/10.1177/0193841x06291532.

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22

Benedict, M. I., and R. B. White. "Selected perinatal factors and child abuse." American Journal of Public Health 75, no. 7 (July 1985): 780–81. http://dx.doi.org/10.2105/ajph.75.7.780.

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23

Adlakha, Arjun L., and C. M. Suchindran. ""Factors Affecting Infant and Child Mortality"." Studies in Family Planning 17, no. 6 (November 1986): 317. http://dx.doi.org/10.2307/1966909.

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24

Clowtis, Licia M., Duck-Hee Kang, Nikhil S. Padhye, Cathy Rozmus, and Michelle S. Barratt. "Biobehavioral Factors in Child Health Outcomes." Nursing Research 65, no. 5 (2016): 340–51. http://dx.doi.org/10.1097/nnr.0000000000000172.

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25

FINKELHOR, DAVID, and LARRY BARON. "Risk Factors for Child Sexual Abuse." Journal of Interpersonal Violence 1, no. 1 (March 1986): 43–71. http://dx.doi.org/10.1177/088626086001001004.

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26

Roberts, Ian, Robyn Norton, Roger Dunn, Ian Hassall, and Trevor Lee-Joe. "Environmental factors and child pedestrian injuries." Australian Journal of Public Health 18, no. 1 (February 12, 2010): 43–46. http://dx.doi.org/10.1111/j.1753-6405.1994.tb00193.x.

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27

Davies, Eryl A., and Alyson C. Jones. "Risk factors in child sexual abuse." Journal of Forensic and Legal Medicine 20, no. 3 (April 2013): 146–50. http://dx.doi.org/10.1016/j.jflm.2012.06.005.

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28

Thornberry, Terence P., Mauri Matsuda, Sarah J. Greenman, Megan Bears Augustyn, Kimberly L. Henry, Carolyn A. Smith, and Timothy O. Ireland. "Adolescent risk factors for child maltreatment." Child Abuse & Neglect 38, no. 4 (April 2014): 706–22. http://dx.doi.org/10.1016/j.chiabu.2013.08.009.

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29

Contreras, Dante, and Stephanie González. "Determinants of early child development in Chile: Health, cognitive and demographic factors." International Journal of Educational Development 40 (January 2015): 217–30. http://dx.doi.org/10.1016/j.ijedudev.2014.06.010.

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30

Ammerman, Robert T., and Richard J. Patz. "Determinants of child abuse potential: Contribution of parent and child factors." Journal of Clinical Child Psychology 25, no. 3 (September 1996): 300–307. http://dx.doi.org/10.1207/s15374424jccp2503_6.

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31

Pianta, Robert C., and Deborah J. Lothman. "Predicting Behavior Problems in Children with Epilepsy: Child Factors, Disease Factors, Family Stress, and Child-Mother Interaction." Child Development 65, no. 5 (October 1994): 1415. http://dx.doi.org/10.2307/1131508.

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32

Forbes, Erika E., Daniel S. Shaw, Nathan A. Fox, Jeffrey F. Cohn, Jennifer S. Silk, and Maria Kovacs. "Maternal depression, child frontal asymmetry, and child affective behavior as factors in child behavior problems." Journal of Child Psychology and Psychiatry 47, no. 1 (January 2006): 79–87. http://dx.doi.org/10.1111/j.1469-7610.2005.01442.x.

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33

Rofika, Ainur Mila, and Iswari Hariastuti. "Social-Cultural Factors Affecting Child Marriage in Sumenep." Jurnal PROMKES 8, no. 1 (May 6, 2020): 12. http://dx.doi.org/10.20473/jpk.v8.i1.2020.12-20.

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Background: Child marriage is still common in Indonesia both in urban and rural areas. One of possible causes is socio-cultural background. In Madura, the community still stick to culture and customs. Child marriage, one of among others, has become Madurese culture and legalized custom that was inherited to this day as seen in Pagarbatu Village, Sumenep. Objective: The study analyzed the effect of socio-cultural factors on the occurrence of child marriage to girls. Method: This study used a descriptive research design with a qualitative approach. It took place in Pagarbatu Village, Saronggi Sub-District, Sumenep District. The research subjects were women under the age of 18 who engaged in child marriages. Data were collected from April to May 2018. Results: The results showed that socio-cultural factors affect misconduct practices that leads to child marriage, especially among girls. Misconduct practices in child marriage are arranged marriages, age manipulations, witchcraft practices. Child marriage becomes a reason to ease family’s financial burden and also to keep tracing lineage to early ancestors. Religious beliefs are still strong in Madurese community. When females were tranced, they would be married for such mystical experience to get out of trance. Besides, there were other factors of child marriage, such as the lack of community leaders’ roles (village officials), the lack of health workers’ roles, age, education, knowledge, and family economy. Conclusion: There is a relationship between social and cultural factors with child marriage.
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34

Ravindran, Divya, Janardhana N, and Indiramma V. "Resilience in Child Sexual Abuse:Role of Protective Factors." Artha - Journal of Social Sciences 11, no. 1 (January 13, 2012): 19. http://dx.doi.org/10.12724/ajss.20.2.

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Child sexual abuse is a major public health problem with significant psychosocial consequences (Afifi & Macmillan, 2011). All child sexual abuse victims do not depict adverse consequences in later life. The variability of impact in a potentially traumatic experience like child sexual abuse is explained by the construct of resilience and it being the outcome of the influence of certain protective factors (Henley, 2010). The present article conceptualizes resilience in the area of child sexual abuse where individual, familial and community level factors are identified as predictors to fostering resilience. Formulation and development of effective interventions to reduce the impairment following child sexual abuse and to foster resilience in children, adolescents and survivors are recommended.
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35

YAMAGIWA, Yuichiro, and Yayoi WATANABE. "Factors Relating Father's Anxiety Concerning Child-rearing." Proceedings of the Annual Convention of the Japanese Psychological Association 74 (September 20, 2010): 1EV095. http://dx.doi.org/10.4992/pacjpa.74.0_1ev095.

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36

Hill, S. Y. "Child psychopathology, biological risk factors and addiction." European Neuropsychopharmacology 13 (March 2003): S9—S11. http://dx.doi.org/10.1016/s0924-977x(03)90007-1.

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37

Hsu, Daphne T. "Age-related factors in child heart transplants." Progress in Pediatric Cardiology 23, no. 1-2 (September 2007): 73–79. http://dx.doi.org/10.1016/j.ppedcard.2007.05.011.

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38

Woods, Donna M., Jane L. Holl, Jack P. Shonkoff, Munisha Mehra, Edward S. Ogata, and Kevin B. Weiss. "Child-Specific Risk Factors and Patient Safety." Journal of Patient Safety 1, no. 1 (March 2005): 17–22. http://dx.doi.org/10.1097/01209203-200503000-00006.

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39

Dennison, Susan, and Benoit Leclerc. "Developmental Factors in Adolescent Child Sexual Offenders." Criminal Justice and Behavior 38, no. 11 (September 9, 2011): 1089–102. http://dx.doi.org/10.1177/0093854811417076.

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Scholars have studied developmental factors relevant to adult sex offenders. These factors, however, have not been of interest so far in the area of adolescent sexual offenders. Given the paucity of research in this area, this study examines developmental factors that may be relevant in understanding why some offenders become persistent throughout the course of adolescence. The sample consisted of male adolescents convicted of a sexual offense against a child. Compared to nonrepeat sexual offenders ( n = 80), repeat sexual offenders ( n = 27) were characterized by a history of sexual abuse victimization and inappropriate sexual behaviors. However, offenders who had a history of sexual abuse but who did not exhibit inappropriate sexual behaviors were more likely to be classified as repeat sex offenders.
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40

Foss, Robert D. "Psychosocial Factors in Child Safety Restraint Use1." Journal of Applied Social Psychology 15, no. 3 (May 1985): 269–84. http://dx.doi.org/10.1111/j.1559-1816.1985.tb00901.x.

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41

Coulton, Claudia J., Jill E. Korbin, Marilyn Su, and Julian Chow. "Community Level Factors and Child Maltreatment Rates." Child Development 66, no. 5 (October 1995): 1262. http://dx.doi.org/10.2307/1131646.

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42

Iustitiani, Nilla S. D., and Clara R. P. Ajisuksmo. "Supporting Factors and Consequences of Child Marriage." ANIMA Indonesian Psychological Journal 33, no. 2 (January 25, 2018): 100–111. http://dx.doi.org/10.24123/aipj.v33i2.1581.

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This study aims to give an overview of the causes and consequences of child marriage by qualitative research using in-depth interview techniques. Participants were eight girls who married during their childhood and live in Java, Indonesia. Interviews were analyzed by using content analysis techniques. The results show that underlying factors causing child marriage, include the following: (1) unwanted pregnancy; (2) the influence of parents and the surrounding environment for fear of slander and unwanted things; (3) education; and (4) economy. The consequences of child marriage include: (1) dicontinuation of education; (2) economic instability; (3) violation of law, age falsification, unregistered marriage, difficulties in obtaining birth certificates; (4) deprivation of children's liberty and autonomy; (5) psychological problems; (6) violence; and (7) health problems especially in girls.
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43

Ödegård, Synnöve, and Lillemor Hallberg. "Perceived potential risk factors in child care." Journal of Health Organization and Management 18, no. 1 (February 2004): 38–52. http://dx.doi.org/10.1108/14777260410532056.

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44

Quansah, Emmanuel, Lilian Akorfa Ohene, Linda Norman, Michael Osei Mireku, and Thomas K. Karikari. "Social Factors Influencing Child Health in Ghana." PLOS ONE 11, no. 1 (January 8, 2016): e0145401. http://dx.doi.org/10.1371/journal.pone.0145401.

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45

Aryayev, M., I. Tsyunchyk, and S. Dhakre. "Risk Factors of Child Obesity in Ukraine." Pediatric Research 70 (November 2011): 363. http://dx.doi.org/10.1038/pr.2011.588.

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46

Karling, M., H. Stenlund, and B. Hägglöf. "Child behaviour after anaesthesia: associated risk factors." Acta Paediatrica 96, no. 5 (May 2007): 740–47. http://dx.doi.org/10.1111/j.1651-2227.2007.00258.x.

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47

Mersky, Joshua P., Lawrence M. Berger, Arthur J. Reynolds, and Andrea N. Gromoske. "Risk Factors for Child and Adolescent Maltreatment." Child Maltreatment 14, no. 1 (February 2009): 73–88. http://dx.doi.org/10.1177/1077559508318399.

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48

Hershkowitz, Irit. "Socioemotional Factors in Child Sexual Abuse Investigations." Child Maltreatment 14, no. 2 (February 24, 2009): 172–81. http://dx.doi.org/10.1177/1077559508326224.

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49

Ibabe, Izaskun, Joana Jaureguizar, and Peter M. Bentler. "Risk Factors for Child-to-Parent Violence." Journal of Family Violence 28, no. 5 (May 25, 2013): 523–34. http://dx.doi.org/10.1007/s10896-013-9512-2.

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50

Lundrigan, Samantha, Mandeep K. Dhami, and Kelly Agudelo. "Factors predicting conviction in child stranger rape." Child Abuse & Neglect 101 (March 2020): 104242. http://dx.doi.org/10.1016/j.chiabu.2019.104242.

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