| Literature DB >> 34647625 |
Corinne M Plesko1, Zhiyuan Yu1, Karin Tobin2, Deborah Gross1.
Abstract
Social isolation has been linked to numerous health risks, including depression and mortality. Parents raising children in low-income and under-resourced communities are at an increased risk for experiencing social isolation and its negative effects. Social connectedness (SC), one's sense of belongingness and connection to other people, or a community, has been linked to reduced social isolation and improved health outcomes in the general population, yet little is known about the impact SC has on parents with low incomes. This integrative review aims to describe the current state of the science surrounding SC in parents with low incomes, summarize how SC is being defined and measured, evaluate the quality of the science, and identify gaps in the literature to guide future research. Five electronic databases were searched, yielding 15 articles for inclusion. Empirical studies meeting the following criteria were included: population focused on parents who have low incomes or live in low-income communities and have dependent children, outcomes were parent-centered, SC was a study variable or a qualitative finding, and publication date was before March 2021. Findings emphasize SC as a promising construct that may be protective in the health and well-being of parents and children living in low-income communities. However, a lack of consensus on definitions and measures of SC makes it difficult to build a strong science base for understanding these potential benefits. Future research should focus on understanding the mechanisms by which SC works to benefit parents and their children.Entities:
Keywords: belongingness; low-income; parenting; social connectedness; social isolation
Mesh:
Year: 2021 PMID: 34647625 PMCID: PMC9292156 DOI: 10.1002/nur.22189
Source DB: PubMed Journal: Res Nurs Health ISSN: 0160-6891 Impact factor: 2.238
Characteristics of included studies on social connectedness and related terms among parents with low‐incomes
| First author (year) | Setting | Sample ( | Study methods | Guiding theory | Intervention | Quality appraisal |
|---|---|---|---|---|---|---|
|
| ||||||
| Acri (2019) |
|
91% female, 61% mothers 52% Black, 44% White, 67% non‐Hispanic/Latino, 30% household income <$10k/year Substudy of National Institute of Mental Health Study |
Cross‐sectional descriptive
| None specified | 4Rs and 2Ss | Level IIIB |
| Adaji (2019) |
|
16.3% pregnant for first time 53.5% had 1–4 children 30.2% had |
Prospective observational study
| None specified |
Prenatal care program based on centering pregnancy | Level IIIB |
| Booth (2020) |
Pittsburgh
|
Adolescents: 56.44% White, 34.67% Black, 8.89% mixed race Parents: 89.6%–93.5% mothers; 64.89% White, 34.22% African American, <1% mixed race |
Longitudinal descriptive study Secondary data from the Pitt Child & Mother Project
| Social disorganized theory | N/A | Level IIIA |
| Brisson (2012) |
Boston, Chicago, and San Antonio
|
43% Black, 48% Hispanic, 8% White |
Longitudinal descriptive study Secondary data from welfare, children, and families: A Three‐cities study
| None specified | N/A | Level IIIA |
| Brisson (2019) |
Western United States
|
96% female, 45% Latino, 22% Black, 14% White in 3 low‐income neighborhoods |
Quasi‐experimental study
| Ecological system theory |
Your family, your neighborhood (YFYN) | Level IIB |
| McCloskey (2019) |
20 large cities
|
|
Cross‐sectional descriptive study secondary data from Fragile Families and Child Wellbeing Study
| Pearlin's stress process model | N/A | Level IIIA |
| McLeigh (2018) |
South Carolina |
70.3% White, 23.6% Black, 3.7% Hispanic |
Cross‐sectional descriptive study
| None specified | N/A | Level IIIA |
| Prendergast (2019) |
20 large cities
|
|
Longitudinal descriptive study Secondary data from Fragile Families and Child Wellbeing Study
| Social ecological model | N/A | Level IIIA |
| Yuma‐Guerrero (2017) |
California |
31.6% incomes at or below federal poverty line 52.8% Latina, 24.1% White, 6.2% Black |
Cross‐sectional descriptive study Secondary data from the Geographic Research on Wellbeing study
| N/A | N/A | Level IIIB |
|
| ||||||
| Bess (2014) |
Nashville
|
| Qualitative | Prilleltensky's model of well‐being | Tied together | Level IIIA |
| Curry (2019) |
Midwest
|
Majority mothers | Qualitative | Social network theory | N/A | Level IIIA |
| Davison (2013) |
|
91% female, 52% White, 22% Black, 10% Hispanic | Mixed‐methods ( | Family ecological model | N/A | Level IIIC |
| Eastwood (2014) |
Sydney
|
| Qualitative | None specified | N/A | Level IIIB |
| Lipman (2010) |
Ontario
|
| Qualitative | None specified | Community‐based program, unspecified | Level IIIB |
| Parsons (2019) |
Cincinnati
|
65% White, 30% Black, 5% mixed race Low‐income neighborhood residents | Qualitative | None specified | Healthy homes (HH) Block by block (HH) | Level IIIB |
Figure 1Review process
Measures and definitions of social connectedness and related terms used in studies with parents with low incomes
|
| ||
|---|---|---|
| First author (year) | Definition of social connectedness or proxy term | Quantitative measures for social connectedness |
| Acri (2019) |
| ‐29‐item measure for participants’ perception of the 4Rs 2Ss intervention including 3 items measuring cohesion |
| Adaji (2019) |
Definition not specified | ‐3‐item measure of cohesion |
| Booth (2020) |
Definition not specified | ‐5‐item, Likert scale measure on neighborhood cohesion |
| Brisson (2012) |
| ‐4 items on scale developed to measure social cohesion, informal social control, and collective efficacy |
| Brisson (2019) |
| ‐4‐item, Likert scale measure of neighborhood social cohesion, from the Project on Human Development in Chicago Neighborhoods |
| McCloskey (2019) |
|
‐Social Cohesion and Trust Scale ‐5‐item scale, statements of neighborhood social cohesion |
| McLeigh (2018) |
|
‐Social Cohesion Scale ‐5‐item Likert‐type scale |
| Prendergast (2019) |
| ‐5‐item, Likert scale measure on neighborhood social cohesion |
| Yuma‐Guerrero (2017) |
| ‐6‐indicator, Likert scale measure on social cohesion in their neighborhood |