| Literature DB >> 34127948 |
Melissa Pearman Fenton1, Larry F Forthun1, Saprina Aristild2, Katherine B Vasquez1.
Abstract
Rural adolescents are transitioning to adulthood in the context of growing disparities. To advance research on the social, behavioral, and contextual factors that influence rural young adult development, this study conducted a scoping review. The review sought to identify how researchers defined rural and how/which theories guided their work; how they integrated the rural context into the research design and methods; and how they used variables, concepts, and outcomes to measure rural experiences. Included articles were published between January 2009 and November 2020, included young adults ages 18-29, measured adult role achievement and/or behavioral health outcomes and reported on these outcomes for young adults, and focused on a rural sample within the United States. A systematic search of four databases resulted in 25 empirical articles for the inductive, qualitative analysis. Most studies used atheoretical approaches focusing on outcomes related to adult social roles, substance use, and mental health. Five themes emerged focused on the definitions of rural, the level of integration into the research design and method, and variables salient to the rural experience. These results reveal that future research should clearly define the rural context and better integrate the rural context into the conceptualization, design, methods, and implications of the empirical research.Entities:
Keywords: Behavioral health; Rural; Social development; Transition to adulthood; Young adult
Year: 2021 PMID: 34127948 PMCID: PMC8190761 DOI: 10.1007/s40894-021-00161-6
Source DB: PubMed Journal: Adolesc Res Rev
Fig. 1Search process
Search inclusion and exclusion criteria
| Criteria | Inclusion | Exclusion |
|---|---|---|
| Sampling search terms | “young adult*” OR “early adult*” OR “emerging adult*” OR “18–29” | The study did not include young adults (age 18–29) in the analysis |
| Social behavioral development search terms | “transition to adulthood” OR “dev* traject*” OR “role traject*” | The study was not focused on the social and behavioral health outcomes of young adults |
| Contextual search terms | “rural” | The research design did not intentionally integrate rurality |
| Methods | Empirical research using quantitative or qualitative methods | Literature or critical reviews |
| Language | English | Published in language other than English |
| Publish date | 2009–2020 | Prior to 2009 |
| Publication type | Peer-reviewed journal articles | Non-peer reviewed publications, dissertations, books, book chapters, government reports |
Summary of study articles
| References | Method | Sample* | Geographic Location | Main Findings | |
|---|---|---|---|---|---|
| Ansari et al. ( | Quantitative, longitudinal | 684 | Data: 5 to 22–23 years old 86% White, 8% Black, 6% other 46% males % Rural = N/A | AR, CA, KS, MA, PA, VA, NC, WA, WI | Absenteeism related to greater economic hardship and unemployment in young adulthood Rurality did not moderate this relationship |
| Barr et al. ( | Quantitative, longitudinal | 324 | Data: 21–23 years old 100% White 46% Male 100% Rural | Iowa | High-quality intimate relationships contributed to better health outcomes in young adulthood Rural sample had higher rates of marriage and limited transition between partners |
| Barton et al. ( | Quantitative, longitudinal | 518 | Data:16–25 years old 100% Black 54% Female; 46% male 100% Rural | Georgia | Rural Black young adult perpetuation pattern of substance use Risk factors of deviant peer affiliation and stress/racial discrimination influenced patterns |
| Beal et al. ( | Quantitative, longitudinal | 626 | Data:16–23 years old Majority white 52% Male 100% Rural | Eastern U.S | Rural adolescents who expected earlier adult role entry more likely to be girls and parents had lower education Expected transitions tended to hold true in young adulthood |
| Berg et al. ( | Quantitative, longitudinal | 2967 | Data:18–25 years old 64.9% White, 22.6% Black, 6.6% Asian, 7.8% Hispanic, 5.9% Other 64.5% Female, 35.5% Male 58.4% Rural | Georgia | No support for increased smoking prevalence among rural young adults College onset and later onset smokers both more likely be male and to attend technical college |
| Berg et al. ( | Quantitative, longitudinal | 2952 | Data: 18–28 years old 65% White, 7.8% Hispanic 64.5% Female, 35.5% Male 58.4% Rural | Georgia | Adult tobacco users more likely to attend public or technical college and live in a rural setting Earlier marijuana use predicted being Adult, College, and Teenage tobacco users |
| Berry and Hirschl ( | Quantitative, longitudinal | 18,000 | Data: 12–16 & 25–30 years old 88.3% White, 11.7% Non-White 21.4% Rural | U.S | Rural residence was not a strong predictor of poverty in young adulthood Single families with children, service sector occupations, low parental income, and parental education below high school strongest predictors of poverty in young adulthood |
| Carrillo ( | Qualitative, cross-sectional | 3 | 100% Latinx 100% Male 100% Rural | North Carolina | Lack of racial and ethnic diversity in rural areas made it difficult for Latinx men to find sense of belonging and feelings of “home” in rural south |
| Copeland et al. ( | Quantitative, longitudinal | 1420 | Data: 9–16 & 19–30 years old 67% White, 25% Native American 6.9% Black, less than 1% Hispanic 49% Female 100% Rural | North Carolina | Children experiencing suicidal thoughts and behaviors had less successful transitions to adulthood than children with only suicidal ideation Childhood suicidal ideation and attempts predicted increased risk of adult suicidal behavior |
| Copeland et al. ( | Quantitative, longitudinal | 1420 | Data: 9–16 & 19–30 years old 67% White, 25% Native American 6.9% Black, less than 1% Hispanic 49% Female 100% Rural | North Carolina | Children experiencing psychiatric diagnoses and symptoms experienced poor adult outcomes Children diagnosed with psychiatric disorder more likely to be male, Native American, and experience all types of family adversity |
| Crockett and Beal ( | Quantitative, longitudinal | 411 | Data: Grades 9–12 & 21–26 years Majority White 100% Rural | Eastern U.S | Adolescents with egalitarian gender roles planned for extended education, later ages for marriage, and later ages for parenthood Anticipating earlier ages of parenting was associated with increased likelihood of children in young adulthood |
| Greene et al. ( | Qualitative, cross-sectional | 72 | Age Range:18–25 years 92% non-Hispanic White 51% female; 49% male 100% Rural | Montana | Aspects of the rural context, social pressure and modeling, cultural values, legal environment, and sparse population, shaped attitudes and beliefs about drinking and driving Rural young adults described drunk driving as “cultural”, persisting across generations, and tied to the rural context |
| Kefalas et al. ( | Qualitative, cross-sectional | 424 | Age Range: 21–38 years 98% White** Majority Female 24.6% of entire sample Rural | California, Iowa, Minnesota, New York | Marriage naturalists transitioned to adulthood earlier in life course and achieved markers of adulthood in sequence and were mainly from Iowa Rural social context and living in/returning to rural area led to marriage being next “natural step” in long-term relationship |
| Kogan et al. ( | Quantitative, longitudinal | 505 | Age range: 19–22 years 100% Black 100% Male 100% Rural | Georgia | Substance use predicted increased depressive symptoms over time Relationship was only evinced when young adult, rural Black males experienced childhood adversity |
| Liu et al. ( | Quantitative, longitudinal | 225 | Age range: 18–25 years old 59.6% White, 30.7% Black, 5.8% Hispanic/Latino, 4.0% others 46.7% Male, 52.9% Female, 0.4% transgender 100% Rural | Southeastern U.S | Depressive symptoms mediated the relationship between childhood maltreatment and alcohol use problems in young adulthood Biomarker of self-regulation (high HR-V) buffered this relationship protecting young adults from self-medicated alcohol use |
| Mason et al. ( | Quantitative, longitudinal | 429 | Data: 11–22 years old Over 95% White 52% female; 48% male 100% Rural | Iowa | Rural young women who participated in the Preparing for the Drug Free Years program reported lower rates of alcohol abuse in young adulthood compared to control group Prosocial skills mediated this relationship in intervention group indicating this may be mechanism for intervention effects |
| Murry et al. ( | Quantitative, longitudinal | 378 | Data:10–21 years old 100% Black 100% Male 100% Rural | Georgia & Iowa | Involved-vigilant parenting, adaptive racial socialization, and positive peer influence promoted positive development in rural Black males The positive development reduced likelihood of Black males engaging in HIV-related risk behaviors in young adulthood |
| Murry et al. ( | Quantitative, longitudinal | 411 | Data: 12–21 years old 91% Black, 9% ethnically mixed 100% Male 100% Rural | Georgia & Iowa | Harsh, inconsistent parenting in presence of family and economic stress and poor maternal psychological functioning was related to youth’s increased susceptibility to risk and substance using peers This was then related to increased levels of risky sexual behavior and substance use in young adulthood increasing vulnerability for HIV |
| Olson ( | Qualitative, cross-sectional | 6 | Data: graduated with Bachelor’s degree before age 26 100% White 66.6% Female 100% Rural | Midwest | Rural young adults, who were FGCs and graduated, were reworking family dynamics as they pursued careers very different from family of origin Navigating culture of origin and culture of aspiration in following passions and career goals |
| Pachankis et al. ( | Quantitative, longitudinal | 108 | Data: 18–29 years old 87.1% White 55.6% identified as women, 24.1% transgender or gender nonconforming 100% Rural | Northeast Tennessee | LGBTQ rural young adults experienced significant reductions in depression with an expressive writing and self-affirmation intervention when experiencing high levels of discrimination LGBTQ rural young adults experienced significantly greater decrease in suicidal ideation when experiencing high levels of discrimination when compared to control groups |
| San Antonio and Kaplan-Bucciarelli ( | Qualitative, cross-sectional | 10 | Age range: 19.5–24 years old 100% White 50% Male, 50% Female 100% Rural | Northeast U.S | Rural young adults experiencing family instability, disconnection from peers, neighborhood transition, no high school diploma, and mental health problems experienced difficulties in early work experiences Social support and proactive personality served protective functions and helped young adults envision vocational paths and meaningful contributions through labor |
| Schmitt-Wilson et al. ( | Qualitative, cross-sectional | 9 | Age range: 25–29 years old 100% White 78% Female, 22% Male 100% Rural | Montana | Increased social support and connection was cited as a positive reason to live in rural communities by young adults who moved to rural areas The natural environment and unstructured free time allowed rural young adults to pursue meaningful activities and interests |
| Sharp et al. ( | Quantitative, longitudinal | 517 | Data: 16–20 years old 92% White 53% female T1,T2 61% female T3 100% Rural | New England | Rural adolescents with high expectations and aspirations for education and careers were more likely to be in school full-time in young adulthood compared with those with low college aspirations and expectations and those with low college and career expectations and aspirations Rural adolescents with the lowest future aspirations and expectations reported significantly lower grades, school belonging, and community attachment earlier in high school |
| Temmen and Crockett ( | Quantitative, longitudinal | 442 | Data: Grade 12 & 21–26 years old 96% White 55.7% Female 100% Rural | Eastern U.S | Positive relationships between coping and social motives and binge drinking were stronger in rural men than women Occupational stress was indirectly related to alcohol misuse, through social and coping motives, for men and relationship stress was indirectly related to alcohol use, through social motives, for women |
| Warner ( | Quantitative, longitudinal | 18,697 | Data: 12–34 years old 54% White, 24% Black, 16% Hispanic, 7% Asian, 2% Native American 51% Female % Rural = N/A | U.S | Youth from predominantly White neighborhoods both initiated use and desisted from marijuana use more quickly than peers of color in other types of neighborhoods There was a protective rural effect for youth from low-income Black rural neighborhoods who had lower marijuana use than youth from predominantly White neighborhoods |
*Sample ages for longitudinal studies are reported as “Data: with the age range data was collected and analyzed from. Sample ages for qualitative studies are reported as age ranges of participants
**Sample characteristics for Iowa reported in table. For full sample characteristics see Kefalas et al. (2011)
Thematic analysis of empirical articles (N = 25)
| Theme | Sub-theme | Codes | Frequency of codes | Citations |
|---|---|---|---|---|
| Clear definitions of rural were based on population, proximity to major cities, and economic disadvantage | Population-based | Metro & non-metro | 5 | Ansari et al. ( |
| Other population marker | 3 | Mason et al. ( | ||
| Proximity-based | Distance from major city (defined) | 1 | Crockett and Beal ( | |
| Distance from major city (undefined) | 2 | Carillo ( | ||
| Economically disadvantaged | High poverty rates | 4 | Barton et al. ( | |
| Economically depressed | 3 | Beal et al. ( | ||
| High-stigma, low-resource | High-stigma, low-resource | 1 | Pachankis et al. ( | |
| Author descriptive | "small or midsized towns" | 4 | Murry et al. ( | |
| Lacked a clear description of population size or community characteristics | No clear definition | 13 | Beal et al. ( | |
| Most studies were atheoretical when describing the transition to adulthood | Theory driven | Life course theory (Elder et al., | 3 | Kefalas et al. ( |
| Developmental transition Roisman et al. ( | 3 | Copeland et al. ( | ||
| Emerging adulthood theory Arnett ( | 1 | San Antonio and Kaplan-Bucciarelli ( | ||
| Atheoretical | Extended transition | 2 | Barr et al. ( | |
| Life course approach | 7 | Beal et al. ( | ||
| Time of many changes | 4 | Carillo ( | ||
| Functioning in adult roles | 1 | Copeland et al. ( | ||
| Increased risk | 6 | Barton et al., ( | ||
| Behavioral health and social development outcomes primarily focused on adult social roles, substance use, and mental health | Physical health | Physical Health | 3 | Barr et al. ( |
| Mental health | Depression | 3 | Barr et al. ( | |
| Suicidality | 3 | Copeland et al. ( | ||
| Psychiatric diagnosis | 2 | Copeland et al. ( | ||
| Anxiety | 1 | Pachankis et al. ( | ||
| Psychological distress | 1 | Pachankis et al. ( | ||
| Substance use | Alcohol | 8 | Barton et al. ( | |
| Marijuana | 2 | Barton et al. ( | ||
| Illegal drug use | 5 | Copeland et al. ( | ||
| Tobacco | 3 | Berg et al. ( | ||
| Risk behaviors | Sexual risk taking | 4 | Copeland et al. ( | |
| Drinking and driving | 1 | Greene et al. ( | ||
| General risky and deviant behavior | 1 | Ansari et al. ( | ||
| Contact with legal system | 3 | Ansari et al. ( | ||
| Adult social roles | Work | 7 | Beal et al. ( | |
| Marriage & romantic relationships | 5 | Beal et al. ( | ||
| Parenthood | 5 | Crockett and Beal ( | ||
| Education | 5 | Beal et al. ( | ||
| Living independently | 3 | Beal et al. ( | ||
| Financial | Poor financial functioning | 2 | Copeland et al. ( | |
| Poverty & economic hardship | 4 | Ansari et al. ( | ||
| Community engagement | Political participation | 1 | (Ansari et al., | |
| Identity | Identity development | 1 | Carillo ( | |
| The rural context was integrated into the research design, method, and discussion at varying degrees | Full Design Integration | Variables & Concepts, Sample, RQs & Hypotheses | 6 | Warner ( |
| Partial Design Integration | Sample, RQs & Hypotheses | 3 | Murry et al., ( | |
| Variables, Sample | 1 | Kefalas et al. ( | ||
| Variables, RQs & Hypotheses | 3 | Ansari et al. ( | ||
| Narrow Design Integration | Sample | 11 | Mason et al. ( | |
| RQs & Hypotheses | 1 | Carrillo ( | ||
| Integrated in Discussion & implications | Research & theoretical implications | 6 | Berry and Hirschl ( | |
| Policy implications | 10 | Warner ( | ||
| Study-specific rural context | 10 | Beal et al. ( | ||
| Comparisons with other rural populations & studies | 5 | Beal et al. ( | ||
| Limited Integration in Discussion & Limitations | Generalizability | 6 | Barr et al. ( | |
| Brief mention of rural in discussion & implications (2 sentences or less) | 5 | Barton et al. ( | ||
| Lacking Integration in Discussion & Limitations | No mention of rural outside of sample | 2 | Copeland et al. ( | |
| Researchers measured variables and concepts unique to the rural experience primarily in the contextual domains of the individual, the microsystem, the exosystem, and the macrosystem | Individual | Attitude and normative beliefs, trial behaviors and experiences (P) | 1 | Greene et al. ( |
| Work & residential aspirations (P) | 5 | Kefalas et al. ( | ||
| Community attachment (P) | 1 | Sharp et al. ( | ||
| Microsystem | ACEs & child-maltreatment (P) | 4 | Berg et al. ( | |
| Lack of representation in teachers (P) | 1 | Carrillo ( | ||
| Adaptive racial socialization (P) | 1 | Murry et al. ( | ||
| social risk & protective factors (P) | 1 | Greene et al. ( | ||
| Exosystem | Proximity to nature (S) | 1 | Schmitt-Wilson et al. ( | |
| Neighborhood characteristics (S) | 1 | Warner ( | ||
| Legal environment (S) | 1 | Greene et al. ( | ||
| Physical environment (S) | 1 | Greene et al. ( | ||
| Macrosystem | Rural & urban community setting (S) | 6 | Kefalas et al. ( | |
| Discrimination & victimization (P) | 3 | Carillo ( | ||
| Marginalization (S) | 1 | San Antonio and Kaplan-Bucciarelli ( | ||
| Culture (S) | 3 | Greene et al. ( | ||
| Economy (S) | 2 | Kefalas et al. ( | ||
| Low SES (S) | 4 | Beal et al. ( |
In the fifth theme, (P) represents process variables and (S) represents structural variables identified using White et al.’s (2016) contextual heterogeneity approach to contextually informed theorizing