Childhood Family Structure Research Articles

Association between childhood family structure and health-related quality of life at middle age: A longitudinal study of Northern Finland Birth Cohort 1966.

This longitudinal study evaluated the association between childhood family structure and health-related quality of life (HRQoL) at middle age. The data on childhood family structure at the age of 14 years ('two-parent family', 'one parent not living at home/no information on father' and 'father or mother deceased') and HRQoL (measured by 15D (15-dimensional)) at the age of 46 were collected from the Northern Finland Birth Cohort 1966 using postal questionnaires. We used the binary logistic regression model to estimate the associations between childhood family structures and the lowest 15D quartile (reference: all other quartiles). The associations were adjusted for offspring mothers' factors during pregnancy (mothers' educational and occupational status). Of the 6375 participants, the offspring belonging to the 'one parent not living at home/no information on father' family structure subgroup had higher odds ratio of belonging to the lowest 15D quartile than the offspring of 'two-parent families' (adjusted odds ratio (OR) 1.76, 95% confidence interval (CI) 1.31-2.36, p<0.001 for females; adjusted OR 1.86, 95% CI 1.28-2.70, p=0.001 for males). There were no statistically significant associations between the 'father or mother deceased' subgroup and the lowest 15D quartile among the offspring. A single-parent family origin (due to reasons other than parental death) in childhood was significantly associated with impaired HRQoL at middle age. These results provide new perspectives for understanding the long-standing associations on living in a single-parent family.

Association between childhood family structure and longitudinal health behaviour changes in adulthood –Northern Finland birth cohort 1966 study

BackgroundChildhood family structure is considered to play a role in person’s health and welfare. This study investigated the relationships between the longitudinal changes of adult health behaviours and childhood family structure.MethodsFrom Northern Finland Birth Cohort 1966 questionnaires, we collected data on childhood family structure at the age of 14 (‘two-parent family’, ‘one parent not living at home/no information on father’, and ‘father or mother deceased’), and on health behaviours (smoking, alcohol consumption and physical activity status) at the ages of 31 and 46. We used the multinomial logistic regression model to estimate the unadjusted and adjusted associations between childhood family structures and the longitudinal changes between 31 and 46 years of health behaviours (four-category variables).ResultsOf the study sample (n = 5431; 55.5% females), 7.1% of the offspring were represented in the ‘One parent not living at home/no information on father’ subgroup, 6.3% in the ‘Father or mother deceased’ subgroup and 86.6% in the ‘Two-parent family’. ‘One parent not living at home/no information on father’ offspring were approximately twice as likely to smoke (adjusted OR 2.19, 95% CI 1.70–2.81) and heavily consume alcohol (adjusted OR 1.99, 95% CI 1.25–3.16) at both times in adulthood, relative to not smoking or not heavily consume alcohol, and compared with ‘two-parent family’ offspring. We found no statistically significant associations between childhood family structure and physical activity status changes in adulthood.ConclusionsOur findings suggest that the offspring of single-parent families in particular should be supported in early life to diminish their risk of unhealthy behaviours in adulthood.

Prevalence of periodontal diseases in children under 6 years old in the Republic of Tatarstan: impact of age and family structure

Relevance. This article addresses the prevalence of periodontal diseases in infants and preschool-aged children, considering factors such as the child's age and family structure within the region of the Republic of Tatarstan. Periodontal diseases, in conjunction with dental caries and dental abnormalities, represent the most frequently observed oral health conditions among children and adolescents.Materials and methods. The research involved 2429 families and 2556 preschool-aged children representing diverse family structures within Kazan, Arsk, and Pestrechinsky districts in the Republic of Tatarstan. During the survey, five primary family classifications emerged: complete, incomplete, extended, reconstituted, and foster families. The research methodology involved conducting interviews with parents, close relatives, or guardians, coupled with comprehensive examinations of the children, documenting both systemic disease and general health information using specifically tailored charts. Data analysis included determining mean values (M), mean error of the score (m), and Student's t-test criterion (t). Significance among group disparities was established at a probability of error less than 5% (p &lt; 0.05). The gathered data underwent interpretation, considering both family structure and the spectrum of periodontal diseases.Results. Periodontal diseases were found to affect children from foster and incomplete families most significantly, with prevalence rates exceeding 90% in certain age groups. Children from complete and extended families exhibited lower prevalence rates of periodontal diseases, at 9.8% and 22.2%, respectively. Notably, within all age brackets, the highest occurrence of periodontal diseases was observed among children aged 4.6-6 years, constituting 57.0% of cases. Infants under one year old displayed the lowest susceptibility, with only 16.3% affected. Upon analyzing disease prevalence among children in the Republic of Tatarstan, a significant disparity emerged: children residing in rural areas demonstrated a higher susceptibility to periodontal diseases in comparison to their urban counterparts.Conclusion. The findings reveal a clear correlation between a child's family structure and the occurrence of periodontal diseases. Establishing the family structure and implementing tailored preventive measures specific to periodontal diseases, while considering both the child's family structure and age, plays a significant role in averting the onset and progression of this condition.

Family structure, socioeconomic status, and mental health in childhood

The changing landscape of family structures over the last decades has led to a growing need to investigate its impact on children's well-being. This study examined differences in mental health among children from different family compositions and how these differences may be affected by familial socioeconomic status (SES). Data were collected within the LIFE Child study. Participants included 2828 children aged 3–17 years raised in traditional families, stepfamilies, or single-parent families. Mental health was measured using the Strengths and Difficulties Questionnaire (SDQ (behavioral strengths and difficulties)) and the KIDSCREEN-27 questionnaire (quality of life). Linear regression analyses were applied to examine associations between family structure, SES, and mental health outcomes. Children from single-parent families exhibited worse mental health outcomes than those from traditional families across all domains of the SDQ and the KIDSCREEN-27. Children from stepfamilies showed significantly higher Total Difficulties scores (B = 1.29 and 1.42), with 3- to 10-year-olds displaying higher scores in the Hyperactivity & Inattention (B = 0.61) and Peer Relationship Problems (B = 0.36) subscales, and 11- to 17-year-olds showing higher Conduct Problems (B = 0.31), Emotional Symptoms (B = 0.58), and a worse Parent Relationship scores (B = − 1.82) than children from traditional families (all p < 0.05). After controlling for SES, several associations between family structure and mental health lost significance, while others persisted, particularly among older children. To promote mental health in non-traditional families, interventions should address socioeconomic disparities while also investigating factors contributing to the direct impact of family structure on mental well-being.Trial registration The LIFE Child study is registered on clinicaltrials.gov (No. NCT02550236).

Childhood intelligence and risk of depression in later-life: A longitudinal data-linkage study

BackgroundLower childhood intelligence test scores are reported in some studies to be associated with higher risk of depression in adulthood. The reasons for the association are unclear. This longitudinal data-linkage study explored the relationship between childhood intelligence (at age ∼11) and risk of depression in later-life (up to age ∼85), and whether childhood family structure and adulthood socio-economic and geographical factors accounted for some of this association. MethodsIntelligence test scores collected in the Scottish Mental Survey 1947 were linked to electronic health records (hospital admissions and prescribing data) between 1980 and 2020 (n = 53,037), to identify diagnoses of depression. Mixed-effect Cox regression models were used to explore the relationship between childhood intelligence test scores and risk of depression in later-life. Analyses were also adjusted for childhood family structure (size of family) and adulthood socio-economic and geographical factors (Carstairs index, urban/rural). ResultsTwenty-seven percent of participants were diagnosed with depression during follow-up (n = 14,063/53,037). Greater childhood intelligence test scores were associated with a reduced risk of depression in an unadjusted analysis (HR = 0.95, 95% CI = 0.93 to 0.97, P < 0.001), and after adjustment for factors experienced in childhood and adulthood (HR = 0.95, 95% CI = 0.91 to 1.00, P = 0.032). When identifying depression using only hospital admissions data, greater childhood intelligence test scores were associated with a reduced risk of depression following unadjusted analysis (HR = 0.86, 95% CI = 0.82 to 0.90, P < 0.001), and after adjusting for risk factors in childhood and adulthood (HR = 0.94, 95% CI = 0.89 to 0.99, P = 0.026). There was no association between childhood cognitive test scores and depression when identifying cases of depression using only prescribed drugs data. ConclusionsThis study provides additional evidence suggesting that higher childhood intelligence predicts reduced risk of later-life depression only when depression is assessed based on hospital admission records. Childhood family structure and adulthood socio-economic and geographical factors did not seem to be substantial confounders.

Early-life participation in cognitively stimulating activities and risk of depression and anxiety in late life.

Early-life stressful experiences are associated with increased risk of adverse psychological outcomes in later life. However, much less is known about associations between early-life positive experiences, such as participation in cognitively stimulating activities, and late-life mental health. We investigated whether greater engagement in cognitively stimulating activities in early life is associated with lower risk of depression and anxiety in late life. We surveyed former participants of the St. Louis Baby Tooth study, between 22 June 2021 and 25 March 2022 to collect information on participants' current depression/anxiety symptoms and their early-life activities (N = 2187 responded). A composite activity score was created to represent the early-life activity level by averaging the frequency of self-reported participation in common cognitively stimulating activities in participants' early life (age 6, 12, 18), each rated on a 1 (least frequent) to 5 (most frequent) point scale. Depression/anxiety symptoms were measured by Patient Health Questionnaire (PHQ-9) and Generalized Anxiety Disorder Screener (GAD-7). We used logistic regressions to estimate odds ratios (OR) and 95% confidence intervals (CI) of outcome risk associated with frequency of early-life activity. Each one-point increase in the early-life composite cognitive activity score was associated with an OR of 0.54 (95% CI 0.38-0.77) for late-life depression and an OR of 0.94 (95% CI 0.61-1.43) for late-life anxiety, adjusting for age, sex, race, parental education, childhood family structure, and socioeconomic status. More frequent participation in cognitively stimulating activities during early life was associated with reduced risk of late-life depression.

Family instability in childhood affects language and memory in adulthood: results from the Pró-Saúde Study, Brazil.

The study aims to investigate associations between adverse childhood psychosocial exposures and declarative memory, language, and executive function in adults with secondary schooling or more and without dementia. In 361 participants from the Pró-Saúde Study, we estimated associations between maternal educational attainment, principal source of the family´s income, food insecurity, and childhood family structure and performance in learning, word recall, and semantic and phonemic verbal fluency tests using multiple linear regression models. Individuals whose mother was the family breadwinner (mean difference: -1.97, 95%CI: -3.27; -0.72) and head-of-household (mean difference: -1.62, 95%CI: -2.89; -0.35) or who lived with a non-parental caregiver or in institutions in childhood (mean difference: -2.19, 95%CI: -4.29; -0.09) showed a reduction in the mean number of words in language and memory in adulthood. The results provide further evidence of the effect of adverse exposures in childhood. Without effective interventions, such exposures are likely to have far-reaching impacts on cognition.

Visualizing Children's Family Structure.

This visualization illustrates the multidimensionality of family life among U.S. children. The authors used the 2022 Current Population Survey Annual Social and Economic Supplements from the Integrated Public Use Microdata Series to examine the intersection of three family structure domains: number of parents, relationship of child to parent(s), and parental union type. Even as 74 percent of children live with two parents, only 60 percent lived with their two biological or adoptive married parents, and substantial variation was evident in children's family configurations. By focusing on child's relationship to parent, the authors revealed that a minority of children lived with only their stepparent(s). A consideration of parents' parental union status shows that parents within stepfamilies are almost nearly as likely to cohabit than marry. Children not residing with their parents were mostly living with other family members, mainly their grandparents, and these relatives were largely married or single. The results suggest that limiting family structure to one domain conceals its complexity by providing a narrow lens on families.

The Causal Effect of Growing up in a Two-Parent Household on Child’s Adult Earnings

The children who grew up in two-parent households for their entire childhood earn more than the other children reared in non-intact parental families. The causal effect of growing up in a twoparent household on the child’s adult earnings is the hourly earnings difference between the children who grew up in intact families and their counterparts raised by parents who have ever divorced, separated, or widowed, holding relevant factors constant and accounting for endogeneity issues. I identify the causal effect by using the following specification strategies. First, I control the parental income and educational attainment, along with the child’s demographic characteristics (gender, age, race, region, and tenure), to disentangle the childhood family intactness effect from the other parental influence. Second, I take into account the unobserved clan-specific heterogeneity, such as family traditions and genetic characteristics, by fitting the clan fixed effects (FE) models. Third, I use two instrumental variables (IVs), the state divorce rate and the no-fault divorce law effectiveness, for the endogenous childhood family structure and adopt the two-stage least squares (2SLS) approach to further alleviate the omitted variable bias. The estimates are around 0.16, suggesting that the children who grew up in a twoparent household earn about 16% more in adulthood than their counterparts from non-intact families, other things equal. The effect goes through three channels. The child’s education, health, and marital behavior are the mediator variables representing the three observable channels through which childhood family intactness affects the child’s adult earnings. The effect of growing up in a two-parent family on the child’s adult earnings varies with parental income and education. The effect is larger and more significant for sons than for daughters. The heterogeneous pattern of the effect is consistent with the parental utility maximization model’s predictions. Growing up in a two-parent household not only has a positive and significant effect on the child’s adult earnings in absolute values, but it also encourages intergenerational relativeearnings improvement. An intact childhood family lowers the probability of the intergenerational relative-earnings worsening by 6.72% and increases the probability of the intergenerational relative-earnings improvement by 6.67%.

The role of family structure in health literacy in children and adolescents: a narrative review.

Childhood and adolescence are the periods in which children shape their character and behavior. This is also the period for children to adopt good health behaviors and to gain health knowledge- to gain health literacy (HL). Several factors play an important role in this. Among them are the person's characteristics, family and social environment, literacy in general, cultural influences, and technological advances. The present study reviews the recent scientific evidence on the role that the family structure plays in HL in children and adolescents. A literature search was performed, until July 2019, in PubMed and Scopus. Appropriate keywords, related to HL and family structure, were used. Titles and abstracts were screened independently, and full-text manuscripts meeting inclusion criteria were extracted. Ten studies were included in this literature review. Several aspects of family structure (e.g., marital status, members of family, parental educational level, etc.) seemed to play a positive role in children's HL status in the sense that children improve their HL when raised in families whose members have better HL. Although there is good evidence that HL positively affects children's and adolescents' health behavior, the role of family structure in children's HL has not been well studied and understood.

Gendered Diverging Destinies: Changing Family Structures and the Reproduction of Educational Inequalities Among Sons and Daughters in the United States.

The prevalence of nontraditional family structures has increased over time, particularly among socioeconomically disadvantaged families. Because children's socioeconomic attainments are positively associated with growing up in a two-parent household, changing family structures are considered to have strengthened the reproduction of social inequalities across generations. However, several studies have shown that childhood family structure relates differently to educational outcomes for sons than for daughters. Therefore, we ask whether there are gender differences in the extent to which changing family structures have contributed to the college attainment gap between children from lower and higher socioeconomic backgrounds. We use data from the National Longitudinal Survey of Youth 1979 and 1997 cohorts to estimate extended Oaxaca-Blinder decomposition models that take into account cross-cohort changes in the prevalence of family structures and heterogeneity in the effects of childhood family structure on college attainment. We find that the argument that changes in family structures contributed to diverging destinies in college attainment holds for daughters but not for sons. This result is due to the different changes over time in the effects of childhood family structure by gender and socioeconomic background.

The “College Gap” in Marriage and Children's Family Structure

The “College Gap” in Marriage and Children's Family Structure

Marital Strain and Support and Subjective Well-Being in Later Life: Ascribing a Role to Early-Life Conditions

Decades of research have the beneficial effects of marital support and the detrimental consequences of marital strain on health and well-being. However, we know relatively less about how circumstances in childhood—a key developmental period of the life course—influence the relational structure in which later life is embedded and any implications this may hold for well-being. We integrate the life course perspective with the stress process model to offer a framework for how childhood conditions (childhood happiness, family structure, and financial strain) moderate the relationship between marital support/strain and subjective well-being in older adulthood in potentially different ways for men and women. The consequences of marital strain may be more severe and the benefits of marital support may not be as strongly felt for those adults who experienced greater adversity during childhood. Drawing on longitudinal data from Waves 2 (2010-2011) and 3 (2015-2016) of the NSHAP project (N = 1,376), results from lagged dependent variable models suggest that marital support buffers the effect of not living with both parents in childhood on subjective well-being for men. Meanwhile, women raised in families that experienced financial hardship reported lower subjective well-being in the context of marital strain in later life. No significant interaction effects were obtained for childhood happiness. Taken together, our findings suggest that adverse experiences in childhood can be scarring, particularly in the context of strained intimate relationships. However, a supportive marriage can, in some cases, offset the effects of childhood hardship on subjective well-being in later life.

Factors Associated with Mental Distress Among Medical Students of Universitas Pembangunan Nasional Veteran Jakarta

Background: Mental distress refers to common mental disorders, such as depression, anxiety, and somatic symptoms, and is considered public health problem. It is reported that university students tend to have higher levels of mental distress compared to the general population, especially in medical students.Objective: The purpose of this study is to determine the risk factors affecting mental distress among medical students.Methods: A cross-sectional study using a survey was conducted among preclinical medical students at UPN Veteran Jakarta in June 2020. This study used proportional stratified sampling to complete questionnaires including demographic characteristics, adverse childhood experiences (ACE), family APGAR, and self-reporting questionnaire (SRQ-20). Data were analyzed by using logistic regression.Results: Among 138 participants, 36.2% had at least one of ACE, 55.1% of students came from a family with dysfunction, and 36.2% experienced mental distress. In multivariate analyses, some essential factors associated with mental distress are gender (OR=12.059, 95% CI: 2.311,62.916), adverse childhood experiences (OR=3.080, 95% CI: 1.903,4.983), family function (OR=2.733, 95% CI:1.097,6.809), and family structure (OR=0.290, 95% CI: 0.085,0.984).Conclusion: Students who are female, have history of adverse childhood experience, come from family with dysfunction, or non- nuclear family structure are more likely to be screened positive for mental distress. This study recommends an urgency of counselling service availability for medical students and community awareness to build a healthy family environment.

Parental separation and offspring morbidity in adulthood: a descriptive study of the Northern Finland Birth Cohort 1966.

Aims: Rates of parental separation have increased dramatically in recent decades. We evaluated the association of individuals' childhood family structure with their somatic health over 46 years of follow-up. Methods: Data were drawn from the Northern Finland Birth Cohort, an ongoing project in which 12,058 participants born in 1966 have been followed from their 24th gestational week. Based on information supplied at age 14 years, family structure was categorised as 'single-parent family' and 'two-parent family'. The anthropometric information, data from blood samples and medical history were collected from postal questionnaires and clinical examinations routinely performed at the ages of 31 and 46 years. Results: The study population comprised a total of 10,895 individuals; 85% (n=9253) were offspring of two-parent families and 15% (n=1642) of single-parent families. Type 2 diabetes (P=0.032) or prediabetes (P=0.007), psychoactive drug problems (P<0.001) and sexually transmitted diseases (P<0.001) were more common in the single-parent family group than in the participants from two-parent families. In addition, among men back diseases (P=0.002), and among women hypertension (P=0.003) and ovary infection (P=0.024) were more frequent in individuals affected by parental death than in those from two-parent families. Conclusions: Our results indicate the association of childhood family structure with offspring morbidity during 46 years' follow-up. The lifetime morbidity was observed to be higher among offspring from a single-parent family compared to two-parent family offspring. Public and scientific concern about the consequences of parental separation on the offspring' health exist, therefore support from healthcare professionals and society is warranted.

Religious Attendance and Physical Health in Later Life: A Life Course Approach.

Existing research on the life course origins of adult health has extensively examined the influence of childhood socioeconomic conditions, family structure, and exposure to trauma. Left unexplored are the potential long-term health effects of sociocultural exposures, such as religiosity at earlier phases of the life course. Integrating life course models of health with literature on the health-protective effects of adult religiosity, we consider how adolescent and midlife religiosity combine to structure the physical health profiles of adults past age 50. Using more than 35 years of representative data from the National Longitudinal Survey of Youth 79 (NLSY79), we found that the stability of frequent religious practice over time was associated with better health composite scores and lower disease burden. Causal mediation analyses revealed that part of this association is driven by a lower risk of smoking for consistent, frequent attenders. Adulthood religiosity also mediated the relationship between frequent early-life religious attendance and health.

Family structure patterns from childhood through adolescence and the timing of cohabitation among diverse groups of young adult women and men.

Family structure changes experienced by children are likely to shape their transitions into young adulthood, including the formation of their own romantic relationships. This study examined links between children's family structure trajectories from childhood through adolescence and their timing of entry into cohabitation as young adults, a transition with implications for future relationship instability through adulthood. Repeated measures latent class analysis identified configurations of family structures and family structure changes from birth through age 15 among 10,706 young people in the National Longitudinal Survey of Youth, 1979 Children and Young Adults. A Cox proportional hazard model then used the resulting classes to predict timing into cohabitation over the period from age 15 to age 38. Both timing of family structure transitions and the type of transitions (e.g., early transitioning into a stepfamily home) were associated with earlier entry into cohabitation. Notably, links between family structure trajectories and the timing of cohabitation differed by gender and race/ethnicity (Latinx, African American, White), such as a faster entry into cohabitation by women who experienced early entry into stepfamily structures. Regardless of gender, Latinx and White young adults were faster to enter into cohabitation if they lived in a stepfamily structure during early childhood. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Two Methods for Studying the Developmental Significance of Family Structure Trajectories.

The objective of this research note is to use both sequence analysis (SA) and repeated-measures latent class analysis (LCA) to identify children's family structure trajectories from birth through age 15 and compare how the two sets of trajectories predict alcohol use across the transition from adolescence into young adulthood. Contemporary family scholars have studied the influence of changes in family structure, often referred to as family structure instability, on child and adolescent development. Typically, this research has focused on either the number or type of transitions children have experienced, but statistical advances are increasing the viability of more complex person-centered approaches to this issue, such as SA and LCA. The choice to use one approach or the other, however, is often discipline specific and relies on different assumptions and estimation techniques that may produce different results. The authors used data from the National Longitudinal Study of Youth-Child and Youth Cohort (N = 11,515) to identify clusters (using SA) and classes (using repeated-measures LCA) that represented children's family structure trajectories from birth through age 15. Using two multiple-group random slope models, the authors predicted alcohol use across adolescence and young adulthood (ages 16-24) among the clusters (Model 1) and classes (Model 2). The SA identified five clusters, but the LCA further differentiated the sample with more detail on timing and identified eight classes. The sensitivity to timing in the LCA solution was substantively relevant to alcohol use across the transition to young adulthood. Overall, the SA is perhaps more suited to research questions requiring exclusive group membership in large, comparative analyses, and the LCA more appropriate when the research questions include timing or focus on transitioning into or out of single-parent and stepfamily homes.

Childhood family structure and complexity in partnership life courses

This study investigated the associations between childhood living arrangements and complex adult partnership trajectories. The authors defined first union dissolution as the event initiating a complex partnership life course, and measured the level of complexity using a weighted cumulative index of subsequent partnership episodes. The analyses were based on a representative sample of the German population born in 1971–73 from the German Family Panel and used multivariate hurdle models to estimate the probability of experiencing the initiation of a complex partnership trajectory, as well as the level of complexity. Results showed that respondents who did not grow up with both biological parents (i.e. those who experienced an alternative family structure) had both a greater likelihood of experiencing the dissolution of their own first union, and followed more complex subsequent partnership trajectories. These associations varied across types of (alternative) family structures experienced during childhood and according to the level of parental partnership (in)stability. This study contributes to our understanding of contemporary partnership complexity and its precursors using a long term life course theoretical and methodological frame. We acknowledge that continuities and disruptions in the development of adult (complex) partnership trajectories can be linked to a growing diversity of family structure in childhood. Thereby, we expand knowledge on intergenerational interdependencies of family instability and complexity beyond the reproduction of the event of union dissolution.

Adoption status and disparities in the familial configurations of children.

Few studies have examined the familial configurations of adopted children and how these configurations differ from those of non-adoptees. As a result, this study examines the relationship between adoption status and inequalities in the family structure of children. Our results indicate that adopted children are more likely to live in nuclear families compared to non- adopted children. Part of this is driven by the comparatively limited presence of adoptees in single-mother, single-father, and other types of non-nuclear families. Foreign-born adoptees are more likely to live in nuclear families compared to U.S.-born adoptees, but adoptees from racial and ethnic minority groups are less likely to live in such families compared to their white counterparts. These race-ethnic inequalities in family structure are however moderated by foreign-born status. Accordingly, our results indicate that foreign-born black and Hispanic children have the highest odds of residing in nuclear families among the U.S. population of adopted children.