Loading

Journal of Family Medicine and Community Health

Parenting Stress, Harsh Parenting, and Children

Research Article | Open Access | Volume 5 | Issue 3

  • 1. Department of Social Welfare, UCLA Luskin School of Public Affairs, USA
  • 2. Department of Child, Youth and Family Studies, University of Nabraska-Lincoln, USA
+ Show More - Show Less
Corresponding Authors
Aurora P. Jackson, Department of Social Welfare, UCLA Luskin School of Public Affairs, 3250 Public Affairs Building, Box 3250, Los Angeles, CA 90095-1656, USA, Tel: 310-825-4198.
Abstract

Parenting stress can lead to negative, coercive, and harsh parenting and these can have a negative and direct effect on children’s behavior. Using data from a subsample of unmarried black mothers and nonresident biological fathers with a focal 3-year-old child (N = 1,370) from the Fragile Families and Child Wellbeing Study, we tested a model linking economic hardship and nonresident fathers’ involvement in single mothers’ family life during children’s early childhood (age 3-5) to behavior problems in middle childhood (age 9) and early adolescence (age 15). We tested whether these associations differed by child gender. In general, results were consistent with our theoretical expectations, especially for boys. Economic hardship was linked indirectly to harsh parenting through mothers’ depressive symptoms and parenting stress, both of which were related directly to harsh parenting. Fathers’ involvement was associated directly with reduced economic hardship and reduced parenting stress for mothers at child’s age 3 - 5, and reduced levels of harsh parenting at child’s age 9, for mothers of boys, but only with reduced economic hardship for mothers of girls. Harsh parenting during middle childhood, in turn, was associated directly and positively with behavior problems for both genders at age 9. Problem behaviors at age 9 predicted adjustment problems at age 15. Implications of these findings for prevention and intervention efforts and future research are considered.
 

Keywords

•    Harsh parenting
•    Children’s behavior

Citation

Jackson AP, Choi JK (2018) Parenting Stress, Harsh Parenting, and Children’s Behavior. J Family Med Community Health 5(3): 1150.

INTRODUCTION

Parenting stress can lead to negative, coercive, and harsh parenting [1,2] and these can have a negative and direct effect on children’s behavior [3,4]. Indeed, there is abundant evidence relating negative and coercive parenting to conduct problems for economically disadvantaged mostly white children [5-7], as well as evidence that there may be important ethnic, race, and class differences in parenting behavior [8-10]. Some note, for example, that low-income black mothers (few studies include fathers) are somewhat more likely to spank their children, sometimes in anger and sometimes not [11]. Others have described discipline as harsh if the parent spanks, slaps, or yells (routinely and usually in anger) at the child [12]. In addition, a number of studies have found links between stressful family processes in children’s preschool years, harsh parenting, and later conduct problems [5-7]. Yet, despite this evidence, few studies have explored such relations in single-parent black families. The purpose of this study is to contribute to our understanding of how parenting stress influences children in families headed by single black mothers. This is important because these families are disproportionately poor, and poverty diminishes the quality of parenting due to persistent daily stressors. These circumstances are associated with a number of negative outcomes for young black children [13,14] including deficits in cognitive and behavioral functioning, emotion regulation and impulse control that persist for some children into adulthood [15].

Although most research on the effects of stress in the parenting role and outcomes for children has focused on white married-couple families [3,16,17] emerging evidence on family processes in single-parent black families suggests that nonresident fathers’ involvement is associated with better socioemotional and behavioral child developmental outcomes [18-20]. This is consistent with prior research on the negative effects of father absence showing that children growing up in households without the involvement of both biological parents are at greater risk for negative developmental and well-being outcomes than their counterparts who grow up in households in which both biological parents are involved [21-23]. Black children are over-represented in such households [24,25]. They are twice as likely as all other children to grow up in households without the involvement of biological fathers [26,27].

This study focuses on a cohort of low-income single black mothers with a focal child from age 3 to age 15, and their experiences with economic hardship, parenting stress, and the children’s nonresident biological fathers. Using data from the Fragile Families and Child Wellbeing Study, we test whether and how mothers’ stress in the parenting role early on affects their parenting and whether nonresident fathers’ involvement, in turn, affects child socioemotional development and behavior problems over time. We separated children by gender for these analyses because boys and girls may be differently affected by aspects of family conflict that include harsh and coercive parenting [28,29].

This work is informed by an integration of two theoretical frameworks: [28] family stress model and [30], person-process-context model, both of which posit that psychological stress associated with economic hardship disrupts parenting. We expected that mothers’ economic hardship early on would be associated with negative and harsh parenting through its effects on their psychological well-being and parenting stress and, through these, the children’s adjustment subsequently in middle childhood and early adolescence. We expected that positive involvement by nonresident fathers would serve as a psychological resource for mothers with respect to the influences of maternal parenting on preschool children’s adjustment over time. Our conceptual model and a test of its adequacy follow.

Economic Hardship, Parenting Stress, Harsh Parenting, and Child Adjustment

Figure (1) provides an overview of our conceptual model.

Conceptual Model.

Figure 1 Conceptual Model.

It begins with the mothers’ economic hardship and proposes that it will be related directly to maternal depressive symptoms and parenting stress (our measures of psychological functioning). The association between economic hardship and parental psychological well-being is well documented. Studies have consistently documented the association between economic pressure and psychological distress, and the relationship between the latter and less optimal parenting, such that parents who experience economic stress display less nurturance and more harshness in their responses to their children [28,31,32]. In addition, numerous studies have found links between and among depressive symptoms, parenting stress, and negative parenting [33]. Based on this evidence, economic hardship, in our model, is proposed as a key mechanism through which financial pressures influence mothers’ psychological well-being in the children’s preschool years. In sum, Figure (1) shows paths from economic hardship to depressive symptoms and parenting stress early on [34]. From the literature on psychological distress and parenting and the literature just reviewed, moreover, we expected higher levels of depressive symptoms to be associated with higher levels of parenting stress and each of these, in turn, to be associated directly with the quality of parenting and, thereby, to influence child developmental outcomes over time; i.e., into children’s middle childhood (age 9) and early adolescence (age 15). We expected problem behaviors at age 9 to predict such behaviors at age 15. These hypothesized relations are consistent also with the early work of Patterson and his colleqgues [35], who proposed that stressful family circumstances have developmental consequences for children, especially young boys, through their disruptive influences on parenting [28].

The second phase in our conceptual model concerns the associations among nonresident fathers’ involvement, mothers’ economic hardship and parenting stress in the preschool years (age 3-5), mothers’ harsh parenting in the children’s middle childhood (age 9), and the influence of these on behavior problems both concurrently and longitudinally at ages 9 and 15. The paths from fathers’ involvement, a latent variable with three indicators (mothers’ reports of his money provided for the child, amount of time spent with the child, and activities engaged in with the child), hypothesize that the level and quality of nonresident fathers’ involvement will be related directly to reductions in mothers’ economic hardship, parenting stress, and harsh parenting; and indirectly to fewer child behavior problems in middle childhood and early adolescence. These expectations are supported by the evidence linking fathers’ involvement to beneficial outcomes for mothers [18-20,36] and children [37]. We test the adequacy of our model in the analyses that follow.

METHOD

Data and sample

The Fragile Families and Child Wellbeing (FFCW) Study is a national longitudinal study designed to examine the characteristics of unmarried parents, the relationships between them, and the consequences for children. The study follows a sample of mothers, fathers, and children in 20 U. S. cities with populations of 200,000 or more. Baseline interviews with mothers and fathers were conducted shortly after their child’s birth between 1998 and 2000 [38]. Follow-up interviews were conducted at years 1, 3, 5, 9, and 15, from 1999 to 2017. We used survey interviews with mothers at time 3, time 5, time 9, and time 15, when the focal children were 3, 5, 9, and 15 years old, respectively. Among 4, 898 households in the longitudinal data set 740 single black mothers with young boys and 628 with young girls (N = 1,370) were selected for the present study. Mothers who were married to, lived together with, or were romantically involved with their child’s father were excluded. Teenage mothers aged 17 or younger and mothers who had never been poor (whose annual income was above 100% of the federal poverty threshold each year) were also excluded.

As shown in Table (1),

Table 1: Demographic Characteristics and Socioeconomic Status (N = 1,370).

Variables Boys Girls Difference
  n % n % p
Mother’s Age 740   628    
19 or younger   22.0   18.5 .096
20 – 24   45.3   42.2  
25 – 29   18.8   24.0  
30 – 39   12.7   13.7  
40 or older   1.3   1.6  
(Mean) 740 (23.7) 628 (24.1) .140
Mother’s Education 740   628    
Some high school or less   1.5   1.8 .356
High school diploma or GED   33.5   38.2  
Some college or 2-year degree   48.9   37.4  
Bachelor’s degree   21.2   21.2  
Graduate school or higher   1.9   1.4  
Employment Status 740   628    
Employed   93.1   94.4 .317
Welfare Receipt 738   628    
Recipient   59.1   54.3 .068
Annual Income 740   628    
$4,999 or less   41.1   44.4 .458
$5,000 – 9,999   21.4   18.6  
$10,000 – 29,999   18.5   19.3  
$30,000 or higher   19.1   17.7  
(Mean) 601 ($6,952.8) 521 ($7,027.8) .180

among the sampled mothers: Over 40% were 20 to 24 years old; on average, at the focal child’s birth, those with a boy were 23.7 years old, and those with a girl were 24.1; 37.4% of those with a girl and 48.9% of those with a boy had some education beyond high school. While most of the mothers reported being employed; i.e., 93.1% and 94.4%, respectively, for those with a boy and those with a girl, 59.1% and 54.3%, respectively, reported being welfare dependent. The average reported annual income was $6,952.8 and $7,027.8 (S.D. = $7,719.8), respectively, for mothers with a boy and those with a girl. None of these differences in demographic and socioeconomic characteristics were statistically significant. Roughly two-thirds of the sample reported an annual income of $9,999 or less.

Measures

The description of the measures proceeds across the constructs depicted in Figure (1), from left to right, starting with economic hardship. Alpha coefficients were obtained for scales with three or more indicators. When calculating the mean value on scales, items were reversed as necessary so that a higher score indicates more of the attribute named in the label.

Economic hardship at times 3 and 5-Economic hardship was measured by a 10-item scale (ranging from 0 = no to 1 = yes) that asked mothers about their financial difficulties during the 12 months prior to the interview. Sample questions included: “Did you go hungry?” “Did you not pay the full amount of rent or mortgage payment?” “Did you not pay the full amount of a gas or electric bill?” “Was service disconnected by the telephone company because payments were not made?” “Did you borrow money from friends or family to help pay bills?” “Did you move in with other people even for a little while because of financial problems?” The Cronbach’s alpha was .63 at time 3 and .67 at time 5.

Maternal depressive symptoms at times 3 and 5-Depressive symptoms were measured by a scale drawn from the Composite International Diagnostic Interview Short Form, Section A [39]. This 7-item scale examined whether respondents had feelings of dysphoria (depression) or anhedonia (inability to enjoy what is usually pleasurable) in the past year that lasted for two weeks or more, and if so, whether the symptoms lasted most of the day and occurred every day of the two-week period. If the latter were so, respondents were then asked to answer more specific questions about losing interest in hobbies, job, and activities, feeling tired, change in weight, trouble sleeping, trouble concentrating, feeling worthless, and thinking about death. Responses were coded “1 (yes) or 0 (no).” The Cronbach’s alpha was .90 at time 3 and time 5.

Maternal parenting stress at times 3 and 5-Parenting stress was assessed by a 4-item scale adapted from the Early Head Start Study. Mothers were asked to indicate on a 4-point scale (ranging from 0 = strongly disagree to 3 = strongly agree) the extent to which they agreed or disagreed with statements such as the following: “Being a parent is harder than I thought it would be,” “I feel trapped by my responsibilities as a parent,” “taking care of my child (ren) is much more work than pleasure,” and “I often feel tired, worn out, or exhausted from raising a family.” The Cronbach’s alpha was. 64 at time 3 and .66 at time 5.

Harsh parenting at time 9- Harsh parenting was measured by 14 questions adapted from three subscales (i.e., non-violent discipline, physical assault, and psychological aggression) from the Parent Child Conflict Tactics Scale [40]. Regarding nonviolent discipline, physical assault, and psychological aggression, mothers were asked to indicate on an 8-point scale (ranging from 0 = never happened to 7 = more than 20 times) if they had done any of the following in the past year: explained why something was wrong; put their child in “time out”; shook, hit, yelled at, spanked, swore at, threatened to spank, slapped, taken away privileges, or pinched their child; call their child dumb, and more. The Cronbach’s alpha was .80.

Fathers’ involvement (Fathering) at times 3 and 5- Fathers’ time, money, and activities were assessed by three scales asking mothers to indicate (1) how many days in the past 30 days the father had seen the child (0 to 30 days), (2) how often the father bought clothes, toys, medicine, food, and anything else for the child, and (3) how often the father sang songs, showed affection to the child, told the child that he loves him or her, read stories to the child, told stories to the child, played inside with the child, went out to eat with the child, assisted the child with eating, put the child to bed. While fathers’ time was a single-item scale, fathers’ money was a five-item, 4-point scale (ranging from 0 = never to 3 = often) that achieved the Cronbach’s alpha of .89 at time 3 and time 5; fathers’ activities was an 8-point scale (ranging from 0 to 7 days a week) that achieved Cronbach’s alphas of .91 at time 3 (10 items) and .92 at time 5 (8 items).

Behavior problems at times 9 and 15. Behavior problems were assessed by the Child Behavior Checklist/6-18 [41]. This scale has 111 items that comprise the following subscales: aggressive behavior, somatic complaints, and thought problems. Mothers were asked to choose one of a range of possible answers on a 3-point scale (ranging from 0 = not true to 2 = often or very true) that asked about the frequency or intensity of behavior problems such as the following: “child acts too young for his or her age,” “child fails to finish things he or she starts,” “child can’t concentrate or can’t pay attention for long,” “child argues a lot,” “child is cruel, bullies, or shows meanness to others,” “child is disobedient at home/school.” The Cronbach’s alphas at time 9 and time 15 were .95 and .99, respectively.

RESULTS

Descriptive analyses

Means, standard deviations, and correlations between variables are shown in Table (2).

Table 2: Correlation Coefficients (N = 1,370).

Variables  1    2    3    4    5    6    7    8    9
1. Fathers’ time T3-T5                                  
2. Fathers’ money T3-T5 .61 ***                              
3. Fathers’ activities T3-T5 .45 *** .47 ***                          
4. Economic hardship T3-T5 -.17 *** -.14 *** −.16 ***                      
5. Depressive symptoms T3-T5 -.08 ** -.09 ** −.10 ** .33 ***                  
6. Parenting stress T3-T5 -.07 * -.05   −.14 *** .21 *** .25 ***              
7. Harsh parenting T9 -.04   -.07 * −.17 *** .17 *** .15 *** .17 ***          
8. Behavior problems T9 -.03   -.09 ** −.07   .12 *** .14 *** .23 *** .31 ***      
9. Behavior problems T15 -.08   -.07 * −.13 *** .10 *** .11 *** .19 *** .25 *** .43 ***  
Statistics                                  
  n 986   1,195   807   1,339   1,257   1,311   963   1,072   1,125
Minimum  0    0    0    0   0   0   0   .0   .0
Maximum 30    3    7   .8   1   3   4.8   1.8   1.5
Mean 9.4   1.0   2.4   .2   .2   1.3   1.3   .2   .3
S.D. 10.2    .9   1.7   .1   .3   .6   .9   .2   .3
Skewness  .9    .4   .2   1.1   1.0   .2   .8   2.8   1.6
Kurtosis 2.4   1.8   2.1   4.1   2.3   2.6   3.4   17.4   5.8

Greater maternal parenting stress at times 3 and 5 were associated concurrently, as expected, with mothers’ greater depressive symptoms and, subsequently, with mothers harsher parenting at times 9 and 15, when the children were 9 and 15 years old. Harsh parenting was associated, in turn, with a greater share of behavior problems among 9- and 15-year-old children. All three of the father involvement variables—amount of time, money, and activities for and with the child—early on were associated negatively and concurrently with mothers’ economic hardship and depressive symptoms. In addition, fathers’ monetary contributions and activities with the children in the preschool years were associated with more positive maternal parenting (less harshness) and better child adjustment over time in middle childhood and early adolescence. These results portended a degree of promise for the proposed conceptual model, although the amount of time (contact) fathers spent with children at times 3 and 5 was not associated significantly with harsh maternal parenting and the children’s behavioral adjustment at age 9 and age 15. This was unexpected.

Model testing

Our preliminary analyses were conducted using STATA 14.2/SE [42]. The final structural equation models with a latent variable were performed using the MPlus 7.4 [43]. The portion of missing data for our measures was 16.6%, on average, and ranged from .01% (child’s gender) to 41.1% (fathers’ activities with the child). We investigated the missing data mechanism using [44] Missing Completely at Random (MCAR) test [45] and found that the sampled data were not missing at random (MNAR: χ2 = 1,008.2; d.f. = 466; p < .001). A Markov chain Monte Carlo (MCMC) algorithm (see Scheffer, 2002) was used to impute enough values to make the missing data pattern monotone. In doing so, imputations were generated using two chains, 20 imputed data sets and 10,000 fixed iterations. Before examining the estimates, we tested the closeness of our conceptual model to the set of actual data using posterior predictive checking [46,47]. The final models with 33 degrees of freedom produced negative values for the lower limit of the 95% confidence interval (i.e., -24.7 and -8.1 for boys and girls, respectively) and a posterior predictive p-value greater than .05 (i.e., .410 and .101 for boys and girls, respectively), indicating that the models fit the data well.

Final models

The model depicted in Figure (2) provides the standardized parameter estimates for boys;

Structural Equation Model for Boys (N = 734).

Figure 2 Structural Equation Model for Boys (N = 734).

that depicted in Figure (3) provides similar results for girls.

Structural Equation Model for Girls (N = 618).

Figure 3 Structural Equation Model for Girls (N = 618).

For these analyses, measures at times 3 and 5 were averaged to produce composite scores (T3-T5). As shown in Figure (2), the paths from economic hardship to depressive symptoms (ß = .36, p < .001) and parenting stress (ß = .09, p < .05) for mothers with a focal boy child are consistent with the expected effects, indicating that economic hardship is associated with higher levels of depressive symptoms and parenting stress, which in turn exhibit the expected positive relationships to harsh parenting (ß = .16, p < .001 and ß = .17, p < .001, respectively). Figure (2) shows, moreover, that depressive symptoms have the expected positive relationship to parenting stress (ß = .20, p < .001), indicating that mothers with more depressive symptoms experienced greater concurrent parenting stress. Parenting stress early on, in addition to its direct relationship to harsh parenting at time 9, was related directly also to boys’ behavior problems at time 9 (ß = .17, p < .001). Figure (2) shows paths from the latent construct of fathers’ involvement fathers’ time (contact) with the child (ß = .75, p < .001), money for the child (ß = .81, p < .001), and activities with the child (ß = .59, p < .001) to maternal economic hardship, parenting stress, and harsh parenting in the expected directions. Inspection of the structural parameters indicates that fathers’ involvement is associated with reduced economic hardship (ß = -.20, p < .001) and reduced parenting stress (ß = -.10, p < .01) concurrently, among mothers with a focal boy child, and reduced harsh parenting (ß = -.13, p < .01) over time in the children’s middle childhood. Harsh parenting at time 9, in turn, exhibits the expected positive relationship to boys’ behavior problems at age 9 (ß = .29, p < .001) and age 15 (ß = .13, p < .01). The path from the latter to behavior problems at age 15 indicates that boys’ problematic adjustment in middle childhood predicts similar problems in early adolescence, as expected. The standardized parameter estimates for girls are depicted in Figure (3). These results are similar to those for boys in most respects, except for two paths; that from fathers’ involvement to mothers’ parenting stress (ß = .01, p > .05), and that from fathers’ involvement to mothers’ harsh parenting (ß = -.04, p > .05). Those relationships are not significant; fathering is associated directly only with reduced economic hardship (ß = -.22, p < .001). Given the correlational analyses, these results are not surprising, but they were not expected. It is noteworthy, nevertheless, that fathers’ involvement, regardless of the child’s gender, predicts less economic hardship for mothers. Theoretically, our model proposed that economic hardship is a key mechanism through which financial pressures have developmental consequences for children through their disruptive influences on parenting. Our results are, for the most part, supportive of this expectation.

Table (3) shows,

Table 3: Decomposition of Direct, Indirect, and Total Effects (N = 1,370).

Outcome Predictor     Boys                    
    Direct   Indirect   Total     Direct   Indirect   Total  
Behavior problems T15 Behavior problems T9 .43 ***   *** .43 ***   .35 ***   *** .35  ***
  Harsh parenting T9 .13 ** .13 *** .25 ***   .14 ** .09 *** .23 ***
  Parenting stress T3-T5     .11 *** .11 ***       .09 ** .09 ***
  Depressive symptoms T3-T5     .06 *** .06 ***       .04 *** .04 **
  Economic hardship T3-T5     .03 *** .03 ***       .03   03 ***
  Fathering T3-T5     -.05 ** -.05 **       -.01   −.01  
Behavior problems T9 Harsh parenting T9 .29 ***     .29 ***   .26 ***     .26 ***
  Parenting stress T3-T5 .17 *** .05 ** .22 ***   .19 *** .03   .22 ***
  Depressive symptoms T3-T5     .09 *** .09 ***       .07 *** .07 ***
  Economic hardship T3-T5     .05 *** .05 ***       .06 *** .06 ***
  Fathering T3-T5     -.07 *** -.07 ***       .02   −.02  
Harsh parenting T9 Parenting stress T3-T5 .15 **     .15 **   .10 *     .10 *
  Depressive symptoms T3-T5 .16 ** .03 ** .19 ***   .08 * .02   .11 *
  Economic hardship T3-T5     .08 *** .08 ***       .05 ** .05 **
  Fathering T3-T5 -.13 ** -.03 ** -.16 **   -.04   -.01   -.05  

moreover, that while parenting stress at time 3-5 and harsh parenting at time 9 are associated directly with behavior problems for boys and girls at age 9, all of the other variables in the model antecedent to the child outcome are related significantly and indirectly to child behavior problems for boys at both time points; i.e., ages 9 and 15; for girls, this also is so, except for some, but not all, aspects of fathering. Consistent with the theoretical expectation, in sum, our results suggest that economic hardship early on yields more negative, coercive, and harsh parenting longitudinally through the meditational effects of depressive symptoms and parenting stress in the preschool years for some low-income, single-parent, black families.

REFERENCES

1. Abidin RR. The Parenting Stress Index short form. Charlottesville, VA: Pediatric Psychology Press. 1990.

2. Vondra J, Belsky J. Developmental origins of parenting: Personality and relationship factors. In T. Luster & L. Okagaki Edn. Parenting: An ecological perspective (1-33). Hillside NY: Lawrence Erlbaum Associates. 1993.

3. Deater-Deckard K, Scarr S. Parenting stress among dual-earner mothers and fathers: Are there gender differences? J Family Psychol. 1996; 10: 45-59.

4. Patterson GR, Reid JB, Dishion TJ. Antisocial boys: A social interactional approach, Eugene, OR: Castalia.

5. Dodge KA, Pettit GS, Bates JE. Socialization mediators of the relation between socioeconomic status and child conduct problems. Child Development. 1994; 65: 649-665.

6. Haapsalo J, Tremblay RE. Physically aggressive boys from ages 6 to 12: Family background, parenting behavior, and prediction of delinquency. J Consult Clin Psychol. 1994; 62: 1044-1052.

7. Kilgore K, Snyder J, Lentz C. The contribution of parental discipline, parenting monitoring, and school risk to early-onset conduct problems in African American boys and girls. Dev Psychol. 2000; 36: 835-845.

8. Deater-Deckard K, Dodge KA. Externalizing behavior problems and discipline revisited: Nonlinear effects and variation by culture, context, and gender. Psychol Inquiry. 1997; 8: 161-175.

9. McLoyd VC. The impact of economic hardship on Black families and children: Psychological distress, parenting, and socioemotional development. Child Dev. 1990; 61: 311-346.

10. Pinderhughes EE, Dodge KA, Zelli A, Bates JE, Pettit GS. Discipline responses: Influences of parents’ socioeconomic status, ethnicity, beliefs about parenting, stress, and cognitive-emotional processes. Journal of Family Psychology. 200; 14: 380-400.

11. Deater-Deckard K, Dodge KA, Bates JE, Pettit GS. Physical discipline among African American and European American mothers. Developmental Psychology. 1996; 32: 1065-1072.

12. Brooks-Gunn J, Markman LB. The contribution of parenting to ethnic and racial gaps in school readiness. Future Child. 2005; 15: 139-168.

13. Jackson AP, Choi JK, Preston KSJ. Nonresident fathers involvement with young black children: A replication and mediational model. Social Work Res. 2015; 39: 245-254.

14. Moore KA, Vandivere S, Redd Z. A sociodemographic risk index. Social Indicators Research Series. 2006; 27: 45-81.

15. Landry SH, Smith KE, Swank PR, Miller-Loncar CL. Early maternal and child influences on childrens later independent cognitive and social functioning. Child Dev. 2000; 71: 358-375.

16. Crnic KA, Greenberg MT. Minor parenting stresses with young children. Child Dev. 1990; 61: 1628-1637.

17. Juby H, Billette JM, Laplante B, Le Bourdais C. Nonresident fathers and children: Parents’ new unions and frequency of contact. Journal of Family Issues. 2007; 28: 1220-1245.

18. Jackson AP, Choi JK, Franke TM. Poor single mothers with young children: Mastery, relations with nonresident fathers, and child outcomes. Social Work Res. 2009; 33: 95-106.

19. Jackson AP, Preston KS, Franke TM. Single Parenting and Child Behavior Problems in Kindergarten. Race Soc Probl. 2010; 2: 50-58.

20. Jackson AP, Preston KSJ, Thomas CA. Single mothers, nonresident fathers, and preschoolers socioemotional development: Social support, psychological well-being, and parenting quality. J Social Service Res. 2013; 39: 129-140.

21. Amato PR. More than money? Men’s contributions to their children’s lives. In A. Booth AC, Crouter Edn. Men in families: When do they get involved? What difference does it make? Mahwah, NJ, US: Lawrence Erlbaum Associates. 1998. 241-278.

22. Jaffee SR, Moffitt TE, Caspi A, Taylor A. Life with (or without) father: the benefits of living with two biological parents depend on the father’s antisocial behavior. Child Dev. 2003; 74: 109-126.

23. Kim HS. Consequences of parental divorce for child development. Am Sociol Rev. 2011; 76: 487-551.

24. Hamilton BC, Martin JA, Ventura SJ. Birth: Preliminary data for 2010, 2011. 2010.

25. Kreider RM, Ellis R. Living arrangements of children: 2009. Current population Reports. Washington, DC: U.S. Census. 2011; 70-126.

26. Cheadle JE, Amato PR, King V. Patterns of nonresident father contact. Demography. 2010; 47: 205-225.

27. Livingston G, Parker KA. A tale of two fathers: more are active, but more are absent. 2011.

28. Conger RD, Conger KJ, Elder GH, Lorenz FO, Simons RL, Whitbeck LB. A Family Process Model of Economic Hardship and Adjustment of Early Adolescent Boys. 1992; 63: 526-541.

29. McFayden-Ketchum SA, Bates JE, Dodge KA, Pettit GS. Patterns of change in early childhood aggressive-disruptive behavior: Gender differences in predictions from early coercive and affectionate mother-child interactions. Child Dev. 1996; 67: 2417-2433.

30. Bronfenbrenner U. Ecology of the family as a context for human development: Research perspectives. Dev Psychol. 1986; 6: 723-742.

31. McLoyd VC. The impact of economic hardship on Black families and children: Psychological distress, parenting, and socioemotional development. Child Development. 1990; 61: 311-346.

32. McLoyd VC, Wilson L. The strain of living poor. Parenting, social support, and child mental health. In A. C. Huston (Ed.). Children in poverty: Child development and public policy. New York, NY: Cambridge University Press. 1991; 105-135.

33. Anthony LG, Anthony BJ, Glanville DN, Naiman DQ, Waanders C, Shaffer S. The relationships between parenting stress, parenting behaviour and Preschoolers social competence and behaviour problems in the classroom. Infant Child Dev. 2005; 14: 133-154.

34. Jackson AP, Brooks-Gunn J, Huang C, Glassman M. Single mothers in low-wage jobs: Financial strain, parenting, and preschoolers outcomes. Child Dev. 2000; 71: 1409-1423.

35. Patterson GR, DeBaryshe BD, Ramsey E. A developmental perspective on antisocial behavior. Am Psychol. 1989; 44: 329-335.

36. Kainz G, Eliasson M, von Post I. The child’s father, an important person for the mother’s well-being during the childbirth: a hermeneutic study. Health Care Women Int. 2010; 31: 621-635.

37. Cabrera N, Fitzgerald HE, Breadley RH, Roggman L. Modeling the dynamics of paternal influences on children over the life course. Applied Developmental Sci. 2007; 11; 186-189.

38. Reichman N, Teitler J, Garfinkel I, McLanahan S. Fragile families: Sample and design. Children and Youth Services Review. 2001; 23: 303-326.

39. Kessler RC, Andrews G, Mroczek D, Ustun B, Wittchen HU. The World Health Organization Composite International Diagnostic Interview Short Form (CIDI-SF). Int J Methods Psychiatric Res. 1998; 7: 171-185.

40. Straus MA, Hamby SL, Finkelhor D, Moore DW, Runyan D. Identification of child maltreatment with the parent-child Conflict Tactics Scales: Development and psychometric data for a national sample of American parents. Child Abuse Negl. 1998; 22: 249-270.

41. Achenbach TM, Rescorla LA. Manual for the ASEBA school-age forms & profiles: Child Behavior Checklist for Ages 6-18, Teacher’s Report Form, & Youth Self-Report. Burlington: University of Vermont, Research Center for Children, Youth & Families. 2001.

42. StataCorp. Statistical Software: Release 14. College Station, EX: StataCorp. LP. 2015.

43. Muthén LK, Muthén BO. Mplus User’s Guide: Statistical Analysis with Latent Variables (7th ed.). Los Angeles, CA: Muthén & Muthén. (1998- 2012).

44. Little RJA. A test of missing completely at random for multivariate data with missing values. J Am Statistical Assoc. 1988; 83: 1198-1202.

45. Li H. Aligning sequence reads, clone sequences and assembly contigs with BWA-MEM. arXiv, 00 2013; 1-3.

46. Gelman A, Carlin J B, Stern HS, Rubin DB. Bayesian data analysis (2nd ed.). Boca Raton: Chapman and Hall/CRC. 2004.

47. Asparouhov T, Muthén B. Computing the strictly positive Satorra-Bentler chi-square test in Mplus. Mplus Web Notes: No. 12. January 24, 2012. 2010.

48. Neese CL, Green SA, Baker BL. Parenting stress and child behavior problems: A Transactional relationship across time. Am J Intellect Dev Disabil. 2012; 117: 48-66.

49. Stone LL, Mares SH, Otten R., Engles RCME, Janssens JAM. The Co-Development of parenting stress and childhood internalizing and externalizing problems. Journal of Psychopathology and Behavioral Assessment. 2016; 38; 76-86.

50. Shonfoff JP, Phillips D. National Research Council; US Committee on integrating the Science of Early Childhood Development. From neurons to neighborhoods: The science of early child development. Washington, DC: National Academy Press. 2000.

51. Davis PT, Lindsay LL. Does gender moderate the effects of marital conflict on children? In J. H. Grych & F. D. Fincham Edn. Interparental conflict and child development. New York: Cambridge University Press. 2001. 64-97.

52. Telford RM, Telford RD, Olive LS, Cochrane T, Davey R. Why Are Girls Less Physically Active than Boys? Findings from the LOOK Longitudinal Study. PLoS One. 2016; 11: 0150041.

53. Jackson AP, Choi JK, Preston KSJ. Nonresident fathers involvement with young black children: A replication and mediational model. Social Work Res. 2015; 39: 245-254.

54. Carlson M, McLanahan S, England P, Devany B. What we know about unmarried Parents: Implications for building strong families programs. 2005.

55. Shannon JD, Cabrera NJ, Tamis-LeMonda C, Lamb ME. Who stays and Who leaves? Father accessibility across children s first 5 years. Parenting: Science and Practice. 2009; 9: 78-100.

56. Coley RI, Morris JE. Comparing father and mother reports of father involvement among low-income minority fathers. J Marriage Family. 2002; 64: 982-997.

57. Seltzer J, Brandreth Y. What fathers say about involvement with children after separation. In W. Marsiglio (Ed.). Research on men and masculinities series: Fatherhood: Contemporary theory, research, and social policy. Thousand Oaks, CA: Sage Publications. 1995; 166-193.

58. Conrad M, Hammen C. Role of maternal depression in perceptions of child maladjustment. J Consult Clin Psychol. 1989; 57: 663-667.

59. Reichman Teitler, Garfinkel, McLanahan, Richters J, Pellegrini D. Depressed mothers judgments about their children: An examination of the depression-distortion hypothesis. Child Dev. 1989; 60: 1068- 1075.

60. Spiker D, Kraemer HC, Constantine NA, Bryant D. Reliability and validity of behavior problem checklists as measures of stable traits in low birth weight, premature preschoolers. Child Dev. 1992; 63: 1481- 1496.

Jackson AP, Choi JK (2018) Parenting Stress, Harsh Parenting, and Children’s Behavior. J Family Med Community Health 5(3): 1150.

Received : 01 May 2018
Accepted : 11 May 2018
Published : 13 May 2018
Journals
Annals of Otolaryngology and Rhinology
ISSN : 2379-948X
Launched : 2014
JSM Schizophrenia
Launched : 2016
Journal of Nausea
Launched : 2020
JSM Internal Medicine
Launched : 2016
JSM Hepatitis
Launched : 2016
JSM Oro Facial Surgeries
ISSN : 2578-3211
Launched : 2016
Journal of Human Nutrition and Food Science
ISSN : 2333-6706
Launched : 2013
JSM Regenerative Medicine and Bioengineering
ISSN : 2379-0490
Launched : 2013
JSM Spine
ISSN : 2578-3181
Launched : 2016
Archives of Palliative Care
ISSN : 2573-1165
Launched : 2016
JSM Nutritional Disorders
ISSN : 2578-3203
Launched : 2017
Annals of Neurodegenerative Disorders
ISSN : 2476-2032
Launched : 2016
Journal of Fever
ISSN : 2641-7782
Launched : 2017
JSM Bone Marrow Research
ISSN : 2578-3351
Launched : 2016
JSM Mathematics and Statistics
ISSN : 2578-3173
Launched : 2014
Journal of Autoimmunity and Research
ISSN : 2573-1173
Launched : 2014
JSM Arthritis
ISSN : 2475-9155
Launched : 2016
JSM Head and Neck Cancer-Cases and Reviews
ISSN : 2573-1610
Launched : 2016
JSM General Surgery Cases and Images
ISSN : 2573-1564
Launched : 2016
JSM Anatomy and Physiology
ISSN : 2573-1262
Launched : 2016
JSM Dental Surgery
ISSN : 2573-1548
Launched : 2016
Annals of Emergency Surgery
ISSN : 2573-1017
Launched : 2016
Annals of Mens Health and Wellness
ISSN : 2641-7707
Launched : 2017
Journal of Preventive Medicine and Health Care
ISSN : 2576-0084
Launched : 2018
Journal of Chronic Diseases and Management
ISSN : 2573-1300
Launched : 2016
Annals of Vaccines and Immunization
ISSN : 2378-9379
Launched : 2014
JSM Heart Surgery Cases and Images
ISSN : 2578-3157
Launched : 2016
Annals of Reproductive Medicine and Treatment
ISSN : 2573-1092
Launched : 2016
JSM Brain Science
ISSN : 2573-1289
Launched : 2016
JSM Biomarkers
ISSN : 2578-3815
Launched : 2014
JSM Biology
ISSN : 2475-9392
Launched : 2016
Archives of Stem Cell and Research
ISSN : 2578-3580
Launched : 2014
Annals of Clinical and Medical Microbiology
ISSN : 2578-3629
Launched : 2014
JSM Pediatric Surgery
ISSN : 2578-3149
Launched : 2017
Journal of Memory Disorder and Rehabilitation
ISSN : 2578-319X
Launched : 2016
JSM Tropical Medicine and Research
ISSN : 2578-3165
Launched : 2016
JSM Head and Face Medicine
ISSN : 2578-3793
Launched : 2016
JSM Cardiothoracic Surgery
ISSN : 2573-1297
Launched : 2016
JSM Bone and Joint Diseases
ISSN : 2578-3351
Launched : 2017
JSM Bioavailability and Bioequivalence
ISSN : 2641-7812
Launched : 2017
JSM Atherosclerosis
ISSN : 2573-1270
Launched : 2016
Journal of Genitourinary Disorders
ISSN : 2641-7790
Launched : 2017
Journal of Fractures and Sprains
ISSN : 2578-3831
Launched : 2016
Journal of Autism and Epilepsy
ISSN : 2641-7774
Launched : 2016
Annals of Marine Biology and Research
ISSN : 2573-105X
Launched : 2014
JSM Health Education & Primary Health Care
ISSN : 2578-3777
Launched : 2016
JSM Communication Disorders
ISSN : 2578-3807
Launched : 2016
Annals of Musculoskeletal Disorders
ISSN : 2578-3599
Launched : 2016
Annals of Virology and Research
ISSN : 2573-1122
Launched : 2014
JSM Renal Medicine
ISSN : 2573-1637
Launched : 2016
Journal of Muscle Health
ISSN : 2578-3823
Launched : 2016
JSM Genetics and Genomics
ISSN : 2334-1823
Launched : 2013
JSM Anxiety and Depression
ISSN : 2475-9139
Launched : 2016
Clinical Journal of Heart Diseases
ISSN : 2641-7766
Launched : 2016
Annals of Medicinal Chemistry and Research
ISSN : 2378-9336
Launched : 2014
JSM Pain and Management
ISSN : 2578-3378
Launched : 2016
JSM Women's Health
ISSN : 2578-3696
Launched : 2016
Clinical Research in HIV or AIDS
ISSN : 2374-0094
Launched : 2013
Journal of Endocrinology, Diabetes and Obesity
ISSN : 2333-6692
Launched : 2013
Journal of Substance Abuse and Alcoholism
ISSN : 2373-9363
Launched : 2013
JSM Neurosurgery and Spine
ISSN : 2373-9479
Launched : 2013
Journal of Liver and Clinical Research
ISSN : 2379-0830
Launched : 2014
Journal of Drug Design and Research
ISSN : 2379-089X
Launched : 2014
JSM Clinical Oncology and Research
ISSN : 2373-938X
Launched : 2013
JSM Bioinformatics, Genomics and Proteomics
ISSN : 2576-1102
Launched : 2014
JSM Chemistry
ISSN : 2334-1831
Launched : 2013
Journal of Trauma and Care
ISSN : 2573-1246
Launched : 2014
JSM Surgical Oncology and Research
ISSN : 2578-3688
Launched : 2016
Annals of Food Processing and Preservation
ISSN : 2573-1033
Launched : 2016
Journal of Radiology and Radiation Therapy
ISSN : 2333-7095
Launched : 2013
JSM Physical Medicine and Rehabilitation
ISSN : 2578-3572
Launched : 2016
Annals of Clinical Pathology
ISSN : 2373-9282
Launched : 2013
Annals of Cardiovascular Diseases
ISSN : 2641-7731
Launched : 2016
Journal of Behavior
ISSN : 2576-0076
Launched : 2016
Annals of Clinical and Experimental Metabolism
ISSN : 2572-2492
Launched : 2016
Clinical Research in Infectious Diseases
ISSN : 2379-0636
Launched : 2013
JSM Microbiology
ISSN : 2333-6455
Launched : 2013
Journal of Urology and Research
ISSN : 2379-951X
Launched : 2014
Annals of Pregnancy and Care
ISSN : 2578-336X
Launched : 2017
JSM Cell and Developmental Biology
ISSN : 2379-061X
Launched : 2013
Annals of Aquaculture and Research
ISSN : 2379-0881
Launched : 2014
Clinical Research in Pulmonology
ISSN : 2333-6625
Launched : 2013
Journal of Immunology and Clinical Research
ISSN : 2333-6714
Launched : 2013
Annals of Forensic Research and Analysis
ISSN : 2378-9476
Launched : 2014
JSM Biochemistry and Molecular Biology
ISSN : 2333-7109
Launched : 2013
Annals of Breast Cancer Research
ISSN : 2641-7685
Launched : 2016
Annals of Gerontology and Geriatric Research
ISSN : 2378-9409
Launched : 2014
Journal of Sleep Medicine and Disorders
ISSN : 2379-0822
Launched : 2014
JSM Burns and Trauma
ISSN : 2475-9406
Launched : 2016
Chemical Engineering and Process Techniques
ISSN : 2333-6633
Launched : 2013
Annals of Clinical Cytology and Pathology
ISSN : 2475-9430
Launched : 2014
JSM Allergy and Asthma
ISSN : 2573-1254
Launched : 2016
Journal of Neurological Disorders and Stroke
ISSN : 2334-2307
Launched : 2013
Annals of Sports Medicine and Research
ISSN : 2379-0571
Launched : 2014
JSM Sexual Medicine
ISSN : 2578-3718
Launched : 2016
Annals of Vascular Medicine and Research
ISSN : 2378-9344
Launched : 2014
JSM Biotechnology and Biomedical Engineering
ISSN : 2333-7117
Launched : 2013
Journal of Hematology and Transfusion
ISSN : 2333-6684
Launched : 2013
JSM Environmental Science and Ecology
ISSN : 2333-7141
Launched : 2013
Journal of Cardiology and Clinical Research
ISSN : 2333-6676
Launched : 2013
JSM Nanotechnology and Nanomedicine
ISSN : 2334-1815
Launched : 2013
Journal of Ear, Nose and Throat Disorders
ISSN : 2475-9473
Launched : 2016
JSM Ophthalmology
ISSN : 2333-6447
Launched : 2013
Journal of Pharmacology and Clinical Toxicology
ISSN : 2333-7079
Launched : 2013
Annals of Psychiatry and Mental Health
ISSN : 2374-0124
Launched : 2013
Medical Journal of Obstetrics and Gynecology
ISSN : 2333-6439
Launched : 2013
Annals of Pediatrics and Child Health
ISSN : 2373-9312
Launched : 2013
JSM Clinical Pharmaceutics
ISSN : 2379-9498
Launched : 2014
JSM Foot and Ankle
ISSN : 2475-9112
Launched : 2016
JSM Alzheimer's Disease and Related Dementia
ISSN : 2378-9565
Launched : 2014
Journal of Addiction Medicine and Therapy
ISSN : 2333-665X
Launched : 2013
Journal of Veterinary Medicine and Research
ISSN : 2378-931X
Launched : 2013
Annals of Public Health and Research
ISSN : 2378-9328
Launched : 2014
Annals of Orthopedics and Rheumatology
ISSN : 2373-9290
Launched : 2013
Journal of Clinical Nephrology and Research
ISSN : 2379-0652
Launched : 2014
Annals of Community Medicine and Practice
ISSN : 2475-9465
Launched : 2014
Annals of Biometrics and Biostatistics
ISSN : 2374-0116
Launched : 2013
JSM Clinical Case Reports
ISSN : 2373-9819
Launched : 2013
Journal of Cancer Biology and Research
ISSN : 2373-9436
Launched : 2013
Journal of Surgery and Transplantation Science
ISSN : 2379-0911
Launched : 2013
Journal of Dermatology and Clinical Research
ISSN : 2373-9371
Launched : 2013
JSM Gastroenterology and Hepatology
ISSN : 2373-9487
Launched : 2013
Annals of Nursing and Practice
ISSN : 2379-9501
Launched : 2014
JSM Dentistry
ISSN : 2333-7133
Launched : 2013
Author Information X