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1

Sun, Qian, Vivian Weiqun Lou, and Ben M. F. Law. "Validating the Effectiveness Scale of Children’s Familial Influencing Behavior Within Three-Generational Relationships." Research on Social Work Practice 28, no. 4 (June 30, 2016): 482–92. http://dx.doi.org/10.1177/1049731516656463.

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Purpose: This study examined the development and validation of the Effectiveness Scale of Child Familial Influencing Behavior. This measurement is constructed to evaluate the effectiveness of child familial influencing behaviors within three-generational relationships. Methods: The effectiveness of child familial influencing behaviors was rated by two informants (parent and grandparent) on 601 children from Grade 1 to Grade 3 in China. Results: The Effectiveness Scale of Child Familial Influencing Behavior consisted of three factors with 12 indicators related to highly influential tactics, moderately influential tactics, and low influential tactics and showed satisfactory reliability, a good model fit, and strong construct validity. Discussion: The findings provided good evidence of the Effectiveness Scale of Child Familial Influencing Behavior as a reliable tool with which to evaluate child familial influencing behaviors in a multigenerational context. Implications for further social work practice and research are discussed.
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Brodsky, Beth S., J. John Mann, Barbara Stanley, Adrienne Tin, Maria Oquendo, and Boris Birmaher. "Familial Transmission of Suicidal Behavior." Journal of Clinical Psychiatry 69, no. 4 (April 15, 2008): 584–96. http://dx.doi.org/10.4088/jcp.v69n0410.

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Brent, David A., and Nadine Melhem. "Familial Transmission of Suicidal Behavior." Psychiatric Clinics of North America 31, no. 2 (June 2008): 157–77. http://dx.doi.org/10.1016/j.psc.2008.02.001.

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Melhem, Nadine M., David A. Brent, Melissa Ziegler, Satish Iyengar, David Kolko, Maria Oquendo, Boris Birmaher, et al. "Familial Pathways to Early-Onset Suicidal Behavior: Familial and Individual Antecedents of Suicidal Behavior." American Journal of Psychiatry 164, no. 9 (September 2007): 1364–70. http://dx.doi.org/10.1176/appi.ajp.2007.06091522.

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Cashwell, Craig S., and Nicholas A. Vacc. "Familial Influences on Adolescent Delinquent Behavior." Family Journal 4, no. 3 (July 1996): 217–25. http://dx.doi.org/10.1177/1066480796043005.

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Scherrer, J. F., J. D. Grant, A. Agrawal, P. A. F. Madden, Q. Fu, T. Jacob, K. K. Bucholz, and H. Xian. "Suicidal Behavior, Smoking, and Familial Vulnerability." Nicotine & Tobacco Research 14, no. 4 (November 11, 2011): 415–24. http://dx.doi.org/10.1093/ntr/ntr230.

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7

Sweda, Michael G., Jacob O. Sines, Ronald M. Lauer, and William R. Clarke. "Familial aggregation of Type A behavior." Journal of Behavioral Medicine 9, no. 1 (February 1986): 23–32. http://dx.doi.org/10.1007/bf00844641.

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8

Brent, D. "What family studies teach us about suicidal behavior: Implications for research, treatment, and prevention." European Psychiatry 25, no. 5 (June 2010): 260–63. http://dx.doi.org/10.1016/j.eurpsy.2009.12.009.

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AbstractSuicidal behavior is transmitted within families, above and beyond the transmission of psychiatric disorder. The familial phenotype of suicidal behavior includes suicide completion and attempts, but not suicidal ideation, the latter of which is transmitted along with depression. The familial transmission of early-onset suicidal behavior is co-transmitted with, and appears to be mediated by the transmission of impulsive aggression. Additionally, the familial transmission of suicidal behavior is, in part, mediated by the familial transmission of abuse. Moreover, high family loading for mood disorder and suicidal behavior are related to multi-generational abuse, impulsive aggression, and early-onset of mood disorder and of suicidal behavior.
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Maris, Ronald W. "SOCIAL AND FAMILIAL RISK FACTORS IN SUICIDAL BEHAVIOR." Psychiatric Clinics of North America 20, no. 3 (September 1997): 519–50. http://dx.doi.org/10.1016/s0193-953x(05)70328-2.

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Pierre-Justin, Aurélie, Annie Lannuzel, and Isabelle Arnulf. "Familial idiopathic rapid eye movement sleep behavior disorder." Sleep Medicine 30 (February 2017): 29–30. http://dx.doi.org/10.1016/j.sleep.2016.04.015.

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OEI, TIAN P. S., and NAMRATA RAYLU. "Familial influence on offspring gambling: a cognitive mechanism for transmission of gambling behavior in families." Psychological Medicine 34, no. 7 (October 2004): 1279–88. http://dx.doi.org/10.1017/s0033291704003150.

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Background. The problem-gambling literature has identified a range of individual, cognitive, behavioral and emotional factors as playing important roles in the development, maintenance and treatment of problem gambling. However, familial factors have often been neglected. The current study aims to investigate the possible influence of parental factors on offspring gambling behavior.Method. A total of 189 families (546 individuals) completed several questionnaires including the South Oaks Gambling Screen (SOGS) and the Gambling Related Cognition Scale (GRCS). The relationships were examined using Pearson product-moment correlations and structural equation modeling (SEM) analyses.Results. Results showed that generally parents' (especially fathers') gambling cognitions and gambling behaviors positively correlated with offspring gambling behaviors and cognitions. However, SEM analyses showed that although parental gambling behavior was directly related to offspring gambling behavior, parental cognitions were not related to offspring gambling behavior directly but indirectly via offspring cognitions.Conclusion. The findings show that the influence of parental gambling cognition on offspring gambling behavior is indirect and via offspring cognitions. The results suggest a possible cognitive mechanism of transmission of gambling behavior in the family from one generation to the next.
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Ito, Yasuhiro, Kennichi Kakudo, Mitsuyoshi Hirokawa, Mitsuhiro Fukushima, Tomonori Yabuta, Chisato Tomoda, Hiroyuki Inoue, et al. "Biological behavior and prognosis of familial papillary thyroid carcinoma." Surgery 145, no. 1 (January 2009): 100–105. http://dx.doi.org/10.1016/j.surg.2008.08.004.

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13

Ebben, Matthew R., Mona Shahbazi, Dale J. Lange, and Ana C. Krieger. "REM behavior disorder associated with familial amyotrophic lateral sclerosis." Amyotrophic Lateral Sclerosis 13, no. 5 (June 7, 2012): 473–74. http://dx.doi.org/10.3109/17482968.2012.673172.

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14

Marušič, Andrej, Saška Roškar, and Roderick H. Hughes. "Familial Study of Suicidal Behavior Among Adolescents in Slovenia." Crisis 25, no. 2 (March 2004): 74–77. http://dx.doi.org/10.1027/0227-5910.25.2.74.

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Summary: The number of adolescents who attempt or complete suicide is increasing. Risk factors range from mental disorders, to problems at school, family problems, or difficulties in establishing relationships. A further important, and too often underestimated, risk factor for adolescent suicide is the presence of suicidal behavior in the adolescent's family. We investigated 184 high school adolescents in a region in Slovenia with a high suicide rate (30/100,000/year). They were questioned by means of an anonymous questionnaire about the presence of suicidal behavior in their relatives and about the presence of suicidal thoughts, plans, and acts in themselves. The results revealed that 13% of the adolescents studied had a relative who had attempted suicide and a further 9% of the adolescents had lost a relative due to suicide. About half of all females and almost a third of males had had suicidal thoughts (differences between sexes were statistically significant: χ2 = 6.13; p < .01). Attempted suicide among relatives was positively correlated with the presence of suicidal plans among adolescents (Φ = 0.15; p < .05). This correlation proved to be even stronger and statistically more significant in men when we split the sample by gender. All variables (suicidal thoughts, suicidal plans, and suicide attempts) in the adolescent males positively correlated with attempted suicide among their relatives (Φ = 0.28, p < .01; Φ = 0.26, p < .05; Φ = 0.34, p < .01; respectively). Our results speak in favor of a higher risk of suicidal behavior among adolescents with suicidal behavior in their families.
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15

Auerbach, Judith G., Rivka Landau, Andrea Berger, Shoshana Arbelle, Michal Faroy, and Michael Karplus. "Neonatal behavior of infants at familial risk for ADHD." Infant Behavior and Development 28, no. 2 (June 2005): 220–24. http://dx.doi.org/10.1016/j.infbeh.2004.12.002.

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Broman, Clifford L. "Religiousness, Familial and Sexual Behavior among African American Adults." Journal of Black Sexuality and Relationships 7, no. 1 (2020): 35–46. http://dx.doi.org/10.1353/bsr.2020.0010.

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17

Kendler, K. S., C. J. Patrick, H. Larsson, C. O. Gardner, and P. Lichtenstein. "Genetic and environmental risk factors in males for self-report externalizing traits in mid-adolescence and criminal behavior through young adulthood." Psychological Medicine 43, no. 10 (February 1, 2013): 2161–68. http://dx.doi.org/10.1017/s003329171300007x.

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BackgroundExternalizing traits or behaviors are typically assessed by self-report scales or criminal records. Few genetically informative studies have used both methods to determine whether they assess the same genetic or environmental risk factors.MethodWe examined 442 male Swedish twin pairs with self-reported externalizing behaviors at age 16–17 years [externalizing traits (EXT), self-reported delinquency (SRD), impulsivity (IMP), grandiosity (GRD) and callousness (CLS)] and criminal behavior (CB) from the National Suspect Registry from age 13 to 25 years. Multivariate structural equation modeling was conducted with Mx.ResultsThe best-fit model contained one genetic, one shared environmental and two non-shared environmental common factors, and variable specific genetic and non-shared environmental factors. The risk for CB was influenced substantially by both genetic (a2 = 0.48) and familial–environmental factors (c2 = 0.22). About one-third of the genetic risk for CB but all of the shared environmental risk was indexed by the self-report measures. The degree to which the individual measures reflected genetic versus familial–environmental risks for CB varied widely. GRD and CLS were correlated with CB mainly through common genetic risk factors. SRD and CB covaried largely because of shared familial–environmental factors. For EXT and IMP, observed correlations with CB resulted in about equal parts from shared genetic and shared familial–environmental factors.ConclusionsIn adolescence, measures of grandiose and callous temperament best tap the genetic liability to CB. Measures of antisocial behaviors better index familial–environmental risks for CB. A substantial proportion of the genetic risk to CB was not well reflected in any of the self-report measures.
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18

Situ, Jianbin, and Ziying Mo. "Risk Propensity, Gambling Cognition and Gambling Behavior: The Role of Family and Peer Influences." Journal of Educational and Developmental Psychology 6, no. 1 (February 2, 2016): 77. http://dx.doi.org/10.5539/jedp.v6n1p77.

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<p>Drawing on learning style theory (Curry, 1983), the present study examines the influence of risk propensity on gambling behavior by focusing on the mediating role of gambling cognition and the moderating role of both familial monitoring and peer gambling. Applying a survey of 207 local residents and tourists in Macau, we found that risk propensity positively related to gambling behavior through its influences on facilitating gambling cognition controlled by familial monitoring; and gambling cognition also positively linked to gambling behavior moderated by peer gambling. Moreover, the moderated path analysis suggests that familial monitoring weakened risk propensity’s direct influence on gambling cognition, and peer gambling strengthened the relationship between gambling cognition and gambling behavior. Theoretical and practical implications of the results are discussed.</p>
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19

Tsuang, M. T., and M. Lyons. "Familial influences on impulsive behavior: Evidence from a twin study." European Psychiatry 13, S4 (1998): 182s. http://dx.doi.org/10.1016/s0924-9338(99)80181-3.

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20

Brent, David A., Nadine M. Melhem, and Holly C. Wilcox. "Violent Offending and Suicidal Behavior Have Common Familial Risk Factors." JAMA Psychiatry 73, no. 10 (October 1, 2016): 1005. http://dx.doi.org/10.1001/jamapsychiatry.2016.1785.

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21

Kenneally, Laura B., Anna Szűcs, Katalin Szántó, and Alexandre Y. Dombrovski. "Familial and social transmission of suicidal behavior in older adults." Journal of Affective Disorders 245 (February 2019): 589–96. http://dx.doi.org/10.1016/j.jad.2018.11.019.

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22

Keilp, John, Sue Beers, Marianne Gorlyn, Nadine Melhem, Ainsley Burke, Maria Oquendo, David Brent, and John Mann. "T110. Familial Aggregation of Neurocognitive Deficits Associated With Suicidal Behavior." Biological Psychiatry 83, no. 9 (May 2018): S171. http://dx.doi.org/10.1016/j.biopsych.2018.02.446.

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23

de Leo, Diego, and Travis Heller. "Social Modeling in the Transmission of Suicidality." Crisis 29, no. 1 (January 2008): 11–19. http://dx.doi.org/10.1027/0227-5910.29.1.11.

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Abstract. Evidence from twin, adoption, and family studies suggests that there is strong aggregation of suicidal behaviors in some families. By comparison, the role of social modeling through peers has yet to be convincingly established. This paper uses data from four large studies (the WHO/EURO Multicentre Study on Suicidal Behaviour, the WHO/SUPRE-MISS, the CASE study, and the Queensland Suicide Register) to compare the effects of exposure to fatal and nonfatal suicidal behavior in family members and nonfamilial associates on the subsequent suicidal behavior of male and female respondents of different ages. Across all studies, we found that prior suicidal behaviors among respondents' social groups were more important predictors of suicidal behavior in the respondents themselves than previous research had indicated. Community-based suicide attempters in the WHO SUPRE-MISS had higher rates of exposure to prior suicide in nonfamilial associates than in family members. In an adolescent population, exposure to prior fatal suicidal behavior did not predict deliberate self-harm when exposure to nonfatal suicidal behavior (both familial and social) were controlled for, but exposure to nonfatal suicidal behaviors in family and friends was predictive of deliberate self-harm and suicide ideation, even after controlling for exposure to fatal suicidal behavior. The potential impact of “containment” of information regarding suicidal behaviors as a prevention initiative is discussed, in light of information behavior principles of social marketing.
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24

De Man, A. "ADOLESCENT RUNAWAYS: FAMILIAL AND PERSONAL CORRELATES." Social Behavior and Personality: an international journal 21, no. 2 (January 1, 1993): 163–67. http://dx.doi.org/10.2224/sbp.1993.21.2.163.

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Adolescent boys and girls (n = 347) from the Miramichi region in New Brunswick, Canada, participated in a multivariate study of factors related to running away behavior. Results suggest that runaways tend to be boys and girls who come from incomplete families where relationships with the parents are perceived as difficult, who feel depressed and have suicidal thoughts, and who have a history of drug use and theft.
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Song, Thomas M. K., Robert M. Malina, and Claude Bouchard. "Familial resemblance in somatotype." American Journal of Human Biology 5, no. 3 (1993): 265–72. http://dx.doi.org/10.1002/ajhb.1310050304.

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26

Distel, Marijn A., Irene Rebollo-Mesa, Abdel Abdellaoui, Catherine A. Derom, Gonneke Willemsen, John T. Cacioppo, and Dorret I. Boomsma. "Familial Resemblance for Loneliness." Behavior Genetics 40, no. 4 (February 10, 2010): 480–94. http://dx.doi.org/10.1007/s10519-010-9341-5.

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27

Pedersen, N. L., and A. Fiske. "Genetic influences on suicide and nonfatal suicidal behavior: Twin study findings." European Psychiatry 25, no. 5 (June 2010): 264–67. http://dx.doi.org/10.1016/j.eurpsy.2009.12.008.

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AbstractIt has been well established that suicidal behavior is familial. Twin studies provide a unique opportunity to distinguish genetic effects from other familial influences. Consistent with findings from previous twin studies, including case series and selected samples, data from the population-based Swedish Twin Registry clearly demonstrate the importance of genetic influences on suicide. Twin studies of suicidal ideation and suicide attempts also implicate genetic influences, even when accounting for the effects of psychopathology. Future work is needed to evaluate the possibility of age and gender differences in heritability of suicide and nonfatal suicidal behavior.
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Pithers, William D., Alison Gray, Aida Busconi, and Paul Houchens. "Caregivers of children with sexual behavior problems: Psychological and familial functioning." Child Abuse & Neglect 22, no. 2 (February 1998): 129–41. http://dx.doi.org/10.1016/s0145-2134(97)00123-3.

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Fisher, Lawrence, and S. Shirley Feldman. "Familial antecedents of young adult health risk behavior: A longitudinal study." Journal of Family Psychology 12, no. 1 (March 1998): 66–80. http://dx.doi.org/10.1037/0893-3200.12.1.66.

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Lin, Seth A. Eisen Nong, Michael J. Lyons, Jeffrey F. Scherrer, Kristin Griffith, William R. True, Jack Goldberg, and Ming T. Tsuang. "Familial influences on gambling behavior: an analysis of 3359 twin pairs." Addiction 93, no. 9 (September 1998): 1375–84. http://dx.doi.org/10.1046/j.1360-0443.1998.93913758.x.

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Molina, Brooke S. G., John E. Donovan, and Katherine A. Belendiuk. "Familial Loading for Alcoholism and Offspring Behavior: Mediating and Moderating Influences." Alcoholism: Clinical and Experimental Research 34, no. 11 (October 26, 2010): 1972–84. http://dx.doi.org/10.1111/j.1530-0277.2010.01287.x.

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Stallings, M. C., S. S. Cherny, S. E. Young, D. R. Miles, J. K. Hewitt, and D. W. Fulker. "The familial aggregation of depressive symptoms, antisocial behavior, and alcohol abuse." American Journal of Medical Genetics 74, no. 2 (April 18, 1997): 183–91. http://dx.doi.org/10.1002/(sici)1096-8628(19970418)74:2<183::aid-ajmg14>3.0.co;2-e.

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33

Brent, David A., and J. John Mann. "Familial Pathways to Suicidal Behavior — Understanding and Preventing Suicide among Adolescents." New England Journal of Medicine 355, no. 26 (December 28, 2006): 2719–21. http://dx.doi.org/10.1056/nejmp068195.

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34

Deal, J. E., K. S. Wampler, and C. F. Halverson. "Children's School Behavior and Performance: Relations to Marital and Familial Characteristics." Family and Consumer Sciences Research Journal 26, no. 3 (March 1, 1998): 281–302. http://dx.doi.org/10.1177/1077727x980263002.

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Antill, Yoland C., John Reynolds, Mary Anne Young, ˙ Judy A. Kirk, Katherine M. Tucker, Tarli L. Bogtstra, ˙ Shirley S. Wong, ˙ Tracy E. Dudding, Juliana L. Di Iulio, and Kelly-Anne Phillips. "Screening behavior in women at increased familial risk for breast cancer." Familial Cancer 5, no. 4 (July 7, 2006): 359–68. http://dx.doi.org/10.1007/s10689-006-0006-8.

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Kim, Kyeongkuk, Sang-Hyop Lee, and Timothy J. Halliday. "Intra-familial transfers, son preference, and retirement behavior in South Korea." Journal of the Economics of Ageing 20 (October 2021): 100338. http://dx.doi.org/10.1016/j.jeoa.2021.100338.

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37

Ekblad, Mikael O., Emily Rolan, Kristine Marceau, Rohan Palmer, Alexandre Todorov, Andrew C. Heath, and Valerie S. Knopik. "Disruptive Behavior in Siblings Discordant for Exposure to Maternal Smoking During Pregnancy: A Multi-rater Approach." Nicotine & Tobacco Research 22, no. 8 (November 17, 2019): 1330–38. http://dx.doi.org/10.1093/ntr/ntz214.

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Abstract Introduction Maternal smoking during pregnancy (SDP) is associated with disruptive behavior. However, there is debate whether the SDP-disruptive behavior association is a potentially causal pathway or rather a spurious effect confounded by shared genetic and environmental factors. Aims and Methods The Missouri Mothers and Their Children Study is a sibling comparison study that includes families (n = 173) selected for sibling pairs (aged 7–16 years) discordant for SDP. Critically, the sibling comparison design is used to disentangle the effects of SDP from familial confounds on disruptive behavior. An SDP severity score was created for each child using a combination of SDP indicators (timing, duration, and amount of SDP). Multiple informants (parents and teachers) reported on disruptive behavior (i.e., DSM-IV semi-structured interview, the Child Behavior Checklist, and Teacher Report Form). Results The variability in disruptive behavior was primarily a function of within-family differences (66%–100%). Consistent with prior genetically informed approaches, the SDP–disruptive behavior association was primarily explained by familial confounds (genetic and environmental). However, when using a multi-rater approach (parents and teachers), results suggest a potentially causal effect of SDP on disruptive behavior (b = 0.09, SE = 0.04, p = 0.03). The potentially causal effect of SDP remained significant in sensitivity analyses. Discussion These findings suggest that familial confounding likely plays a complex role in the SDP–disruptive behavior association when examining both parent and teacher reports of behavior. Importantly, the current study highlights the importance of multiple raters, reflecting a more comprehensive measure of complex behaviors (e.g., disruptive behavior) to examine the teratogenic effects of SDP. Implications Our study provides additional evidence that controlling for genetic and family factors is essential when examining the effect of SDP on later behavioral problems, as it explains a portion of the association between SDP and later behavioral problems. However, we found a significant association between SDP and disruptive behavior when using a multi-rater approach that capitalizes on both parent and teacher report, suggesting that parent and teacher ratings capture a unique perspective that is important to consider when examining SDP–behavior associations.
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Simcha-Fagan, Ora, Joanne C. Gersten, and Thomas S. Langner. "Early Precursors and Concurrent Correlates of Patterns of Illicit Drug Use in Adolescence." Journal of Drug Issues 16, no. 1 (January 1986): 7–28. http://dx.doi.org/10.1177/002204268601600102.

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This study examines social, familial and child behavior antecedents of adolescent illicit drug use. The sample studied is a subsample of a follow-up sample of Manhattan children, whose mothers were interviewed at two points in time, with a 5 year interval. The subsample constitutes those study children age 14 to 22 at Time II, who were interviewed directly 6 months following the second interview with the mother. The findings indicate that early predictors have a significant and substantial influence on later illicit drug use. Importantly, differential patterns of illicit drug use exhibit relatively distinct antecedents. The use of marijuana-only is related to socioeconomic background and early child behaviors; the use of drugs other than marijuana is related to parental-marital behaviors, the quality of the bond between parents and children and early adjustment problems (with peers and at home); heroin use is strongly associated with parental-marital behaviors indicative of familial disorganization and parental antisocial behaviors.
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39

Costa, Mia, Jill S. Greenlee, Tatishe Nteta, Jesse H. Rhodes, and Elizabeth A. Sharrow. "Family Ties? The Limits of Fathering Daughters on Congressional Behavior." American Politics Research 47, no. 3 (February 4, 2019): 471–93. http://dx.doi.org/10.1177/1532673x19826273.

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Scholars have long suggested that familial life can affect political behavior and, more recently, have found that fathering daughters leads men to adopt more liberal positions on gender equality policies. However, few have focused on the impact of fathering a daughter on congressional behavior, particularly in an era of heightened partisan polarization. Using an original data set of familial information, we examine whether fathering a daughter influences male legislators’ (a) roll call and cosponsorship support for women’s issues in the 110th to 114th Congresses and (b) cosponsorship of bills introduced by female legislators in the 110th Congress. We find that once party affiliation is taken into account, having a daughter neither predicts support for women’s issues nor cosponsorship of bills sponsored by women. Our findings suggest there are limits to the direct effects of parenting daughters on men’s political behavior, and that scholars should remain attentive to institutional and partisan contexts.
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40

Sedrakyan, Sedrak. "Sociometry and Familial Status-Role Relations." WISDOM 2, no. 5 (December 1, 2015): 118. http://dx.doi.org/10.24234/wisdom.v2i5.42.

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One of the contemporary social psychology di­rections, sociometry, has played a vital role in small groups investigation. That direction was formed, de­veloped and widely applied in the first decades of 20th century by Moreno who was first of all con­cerned with primary, i. e. intimate, emotional rela­tions of people in small groups, emergence of fee­lings among group members such as sympathy and dislike, love and hatred, respect and contempt, the desire to be in mutual communication or isolation from each other, etc. With the help of sociometric method created and currently applied by Moreno the latter tries revealing such inter-group relations that are nearly not perceptible for “naked eyes“ (to observe superficially), however they often have serious, sometimes also critical influence on people’s behavior and state of mind. And though there has been put forth the viewpoint that sociometry is not as efficient in family investigation as when studying other small and medium groups, nevertheless, family sociometric research is compulsory and useful for investigating family psychology.
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Ambrose, John D. "LOPHIOLA , FAMILIAL AFFINITY WITH THE LILIACEAE." TAXON 34, no. 1 (February 1985): 149–50. http://dx.doi.org/10.2307/1221581.

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Morán, Hilcías E. "Familial Relationship of Migrants and Remittances Behavior: Theory and Evidence from Ecuador." Modern Economy 04, no. 08 (2013): 535–50. http://dx.doi.org/10.4236/me.2013.48057.

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Lemon, Stephenie C., Jane G. Zapka, and Lynn Clemow. "Health behavior change among women with recent familial diagnosis of breast cancer." Preventive Medicine 39, no. 2 (August 2004): 253–62. http://dx.doi.org/10.1016/j.ypmed.2004.03.039.

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Halperin, Jeffrey M., Kurt P. Schulz, Kathleen E. McKay, Vanshdeep Sharma, and Jeffrey H. Newcorn. "Familial correlates of central serotonin function in children with disruptive behavior disorders." Psychiatry Research 119, no. 3 (August 2003): 205–16. http://dx.doi.org/10.1016/s0165-1781(03)00136-7.

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Karner, Elfriede, Margarete Delazer, Thomas Benke, and Sylvia Bösch. "Cognitive Functions, Emotional Behavior, and Quality of Life in Familial Hemiplegic Migraine." Cognitive and Behavioral Neurology 23, no. 2 (June 2010): 106–11. http://dx.doi.org/10.1097/wnn.0b013e3181c3a8a6.

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Dougherty, Donald M., James M. Bjork, F. GERARD Moeller, R. ANDREW Harper, Dawn M. Marsh, Charles W. Mathias, and Alan C. Swann. "Familial Transmission of Continuous Performance Test Behavior: Attentional and Impulsive Response Characteristics." Journal of General Psychology 130, no. 1 (January 2003): 5–21. http://dx.doi.org/10.1080/00221300309601271.

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Alinia, Tahereh, Hamidreza Roohafza, Razieh Omidi, Kamal Heidari, Marziyeh Farshad, Hossein Davari, Zahra Abtin, Ezat Shahriari, Mahshid Taslimi, and Masoumeh Sadeghi. "Psychological and Familial Factors of Depression in Relation to Adolescent Smoking Behavior." Advanced Biomedical Research 6, no. 1 (2017): 3. http://dx.doi.org/10.4103/2277-9175.199261.

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Maxwell, Sheila Royo. "A Focus on Familial Strain: Antisocial Behavior and Delinquency in Filipino Society." Sociological Inquiry 71, no. 3 (July 2001): 265–92. http://dx.doi.org/10.1111/j.1475-682x.2001.tb01113.x.

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Kakudo, Kennichi, J. Aidan Carney, and Glen W. Sizemore. "Medullary carcinoma of thyroid. Biologic behavior of the sporadic and familial neoplasm." Cancer 55, no. 12 (June 15, 1985): 2818–21. http://dx.doi.org/10.1002/1097-0142(19850615)55:12<2818::aid-cncr2820551217>3.0.co;2-2.

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Bornovalova, M. A., J. R. Cummings, E. Hunt, R. Blazei, S. Malone, and W. G. Iacono. "Understanding the relative contributions of direct environmental effects and passive genotype–environment correlations in the association between familial risk factors and child disruptive behavior disorders." Psychological Medicine 44, no. 4 (May 29, 2013): 831–44. http://dx.doi.org/10.1017/s0033291713001086.

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Abstract:
BackgroundPrevious work reports an association between familial risk factors stemming from parental characteristics and offspring disruptive behavior disorders (DBDs). This association may reflect (a) the direct effects of familial environment and (b) a passive gene–environment correlation (rGE), wherein the parents provide both the genes and the environment. The current study examined the contributions of direct environmental influences and passive rGE by comparing the effects of familial risk factors on child DBDs in genetically related (biological) and non-related (adoptive) families.MethodParticipants were 402 adoptive and 204 biological families. Familial environment was defined as maternal and paternal maladaptive parenting and antisociality, marital conflict and divorce; offspring DBDs included attention deficit hyperactivity disorder (ADHD), conduct disorder (CD) and oppositional defiant disorder (ODD). Mixed-level regressions estimated the main effects of familial environment, adoption status and the familial environment by adoption status interaction term, which tested for the presence of passive rGE.ResultsThere was a main effect of maternal and paternal maladaptive parenting and marital discord on child DBDs, indicating a direct environmental effect. There was no direct environmental effect of maternal or paternal antisociality, but maternal and paternal antisociality had stronger associations with child DBDs in biological families than adoptive families, indicating the presence of a passive rGE.ConclusionsMany familial risk factors affected children equally across genetically related and non-related families, providing evidence for direct environmental effects. The relationship of parental antisociality and offspring DBDs was best explained by a passive rGE, where a general vulnerability toward externalizing psychopathology is passed down by the parents to the children.
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