Tipologias de redes sociais da população idosa: Uma revisão transnacional da literatura

Guadalupe, Sónia; Vicente, Henrique Testa

doi:10.1590/1413-812320212611.3.23072019

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Sumário

HEALTH AND VULNERABILITY AMONG THE ELDERLY • Ciênc. saúde coletiva 26 (suppl 3) • 2021 • https://doi.org/10.1590/1413-812320212611.3.23072019 copiar

Tipologias de redes sociais da população idosa: Uma revisão transnacional da literatura

Autoria SCIMAGO INSTITUTIONS RANKINGS

Resumo

O artigo apresenta uma revisão temática e narrativa não sistemática sobre tipologias de redes sociais pessoais da população idosa. Analisámos 18 estudos com amostras grandes de 14 países. A posição dos laços familiares, a composição da rede, o tamanho, a frequência de contactos e a participação comunitária são centrais na definição dos tipos de rede nesta população. As redes restritas e diversificadas emergem nas tipologias associadas, respetivamente, a menor ou maior apoio social, e são bons indicadores do bem-estar, saúde, saúde mental, apoio social e participação social. Transnacionalmente, verifica-se uma distribuição desigual da construção de tipologias. As diferentes tipologias, que devem ser culturalmente fundadas, fornecem diretrizes para planejar a intervenção, repensar serviços sociais e planejar políticas sociais.

Palavras-chave:
Redes sociais; Apoio social; Família; População idosa

Author(s)/Year	Country or Region	Participants	Method	Criterion variables	Network type designations
Mugford and Kendig (1986)¹⁶16 Mugford S, Kendig H. Social relations: Networks and ties. In: Kendig H, editor. Ageing and families: A social networks perspective. Sydney: Allen and Unwin; 1986. p. 38-59.	Australia	1,050 participants aged 60+	Descriptive and categorical.	• Size • Multiplexity	1) attenuated: low-low 2) intense: low-high 3) diffuse: high-low 4) complex: high-high 5) balanced: medium-medium
Wenger (1989; 1991)¹⁷17 Wenger GC. Support networks in old age: constructing a typology. In: Jefferys M, editor, Growing Old in the Twentieth Century. London: Routledge; 1989. p. 169-185.^,¹⁸18 Wenger GC. A network typology: from theory to practise. J Aging Stud 1991; 5(2):147-162.	North Wales (UK)	534 individuals aged 65+	Descriptive and categorical.	• Proximity of close kin • Proportion of family, friends and neighbors • Levels of interaction between the old persons and their families, friends, neighbors and community groups	1) family dependent support network or local family dependent 2) locally integrated support network 3) local self-contained support network 4) wider community-focused support network 5) private restricted support network
Litwin (1995)²¹21 Litwin H. The social networks of elderly immigrants: An analytic typology. J Aging Stud 1995; 9(2):155-174.^,²²22 Litwin H. Unprooted in old age: soviet Jews and their social networks in Israel. Westport, CT: Praeger; 1995.	Israel	254 elderly Soviet Jews emigrated in Israel, aged 62+	Cluster analysis: Quick Cluster procedure (K-means)	• Composition • Size • Percentage of intimates • Duration of ties • Frequency of contact • Residential proximity	1) kin network 2) family intensive network 3) friend-focused network 4) diffuse tie network
Melkas and Jylhä (1996)³⁰30 Melkas T, Jylhä M. Social network characteristics and social network types among Eldery People in Finland. In: Litwin H, editor. The social network of older people: a cross national analysis. Westport, CT: Praeger; 1996. p. 99-116.	Finland	1,655 elders aged 60+	Cluster analysis: K-means.	• Breadth of the network (number of friends) • Depth of the network (closeness between network members; whether or not respondents have at least one confidant) • Everyday interaction (frequency of meetings with members of the network) • Pratical support (help received and help provided)	1) endowed network 2) perceived network 3) agentic network 4) family-intensive network 5) defective network
Auslander (1996)²⁸28 Auslander G. The Interpersonal Milieu of Elderly People in Jerusalem. In: Litwin H, editor. The Social Networks of Older People: A Cross-National Analysis. London: Praeger; 1996. p. 77-97.	Israel	200 participants aged 60 +	Principal component analysis (varimax rotation)	• Three social support measures (affective, affirmational, and instrumental supportiveness) • Average frequency and duration of contact • Six components of network membership (spouse, children, other family, friends, and neighbors) • Attendance at religious services • Two indicators of network reduction (loss during the past year and ammount of support lost)	1) supportive network 2) replacement network 3) traditional network
Stone and Rosenthal (1996)²⁹29 Stone L, Rosenthal C. Profiles of the social networks of Canada's elderly: An analysis of 1990 General Social Survey Data. In: Litwin H, editor. The Social Networks of Older People: A Cross-National Analysis. Westport: Praeger Publishers; 1996. p. 77-97.	Canada	3,186 participants aged 65+	Cluster analysis: Quick Cluster procedure (K-means)	• Network-size index • Index of the relative (proportional) shares of the following components of the network size index - children, siblings, friends, parents, and spouse • Living arranangement (household composition) • Index of the frequency of seeing and telephoning each of children, siblings, friends, and parents	1) small: friendship-poor and socially isolated 2) small: child-focused 3) small: extended-family and friend-focused 4) medium: balanced 5) large: balanced 6) very large: balanced
Litwin (1997)²⁴24 Litwin H. Support network type and health service utilization. Res Aging 1997; 19:274-299.	Israel	4,214 Israelite elders, aged 60+	Cluster analysis: K-means.	• Married • Number of proximate children • Frequency of sibling contact • Frequency of friend contact • Having a helpful neighbor • Frequency of synagogue attendance	1) diversified support network 2) friends-and-neighbour-based support network 3) narrow family-focused network 4) attenuated network 5) religious family-focused network 6) traditional extended family network
Litwin (2001)²⁶26 H. Social network type and morale in old age. Gerontologist 2001; 41(4):516-24.	Israel	2,079 elderly Jews in Israel aged 60+	Cluster analysis: K-means.	• Current marital status • Number of adult children residing in the elder’s vicinity • Frequency of contact on the part of the elder with his or her adult children • Frequency of contact with friends • Frequency of contact with neighbors • Frequency of attendance at a synagogue • Frequency of attendance at a social club	1) diverse network 2) friends network 3) neighbours network 4) family network 5) restricted network
Fiori et al. (2006)³¹31 Fiori KL, Antonucci TC, Cortina KS. Social Network Typologies and Mental Health Among Older Adults. J Gerontol 2006; 61B(1):25-32.	USA	1,669 adults aged 60+	Cluster analysis: K-means.	• Married • Number of children • Contact with children • Religious services attendance • Contact with friends • Meetings attendance	1) nonfamily-restricted 2) nonfriends 3) family 4) diverse 5) friends
Fiori et al. (2007)³²32 Fiori KL, Smith J, Antonucci TC. Social network types among older adults: a multidimensional approach. J Gerontol B Psychol Sci Soc Sci 2007; 62(6):322-330.	Berlin, Germany	516 older adults aged 70+	Cluster analysis: K-means.	• Married • Total network size • Proportion in Berlin • Frequency of contacts: family • Frequency of contacts: friends • Number of activities • Proportion: close others • Instrumental support • Emotional support • Satisfaction with family or friends	1) diverse-supported 2) family focused 3) friend focused-supported 4) friend focused-unsupported 5) restricted-nonfriends-unsatisfied 6) restricted-nonfamily-unsupported
Cheng et al. (2009)³³33 Cheng S-T, Lee CKL, Chan ACM, Leung EMF, Lee J-J. Social network types and subjective well-being in chinese older adults. J Gerontol Psychol Sci 2009; 64B(6):713-722.	China	1,005 older adults aged 59+	Cluster analysis: K-means.	• Total network size • Frequency of contact with immediate kin • Support exchange with immediate kin • Frequency of contact with distant kin • Support exchange with distant kin • Frequency of contact with non-kin • Support exchange with non-kin • Engagement in social activity	1) diverse 2) friend focused 3) restricted 4) family focused 5) distant family
Doubova et al. (2010)³⁵35 Doubova SV, Pérez-Cuevas R, Espinosa-Alarcón P, Flores-Hernández S. Social network types and functional dependency in older adults in Mexico. BMC Public Health 2010; 10:104.	México	4,190 older adults aged 60+	Cluster analysis: K-means.	• Total number of family members • Having a life partner • Having children • Having friends • Belonging to a community group • Frequency of contact with family and friends	1) diverse with community participation 2) diverse without community participation 3) widowed 4) nonfriends-restricted 5) nonfamily-restricted
Litwin and Shiovitz-Ezra (2011)²⁷27 Litwin H, Shiovitz-Ezra S. Social network type and subjective well-being in a national sample of older Americans. Gerontologist 2011; 51:379-388.	USA	1,462 elderly Americans aged 60+	Cluster analysis: K-means.	• Current marital status • Number of children • Number of close relatives • Number of friends • Frequency of getting together with neighbors • Frequency of attendance at religious services • Frequency of attendance at organized group meetings	1) diverse network 2) friend network 3) congregant network 4) family network 5) restricted network
Cabral et al. (2013)³⁶36 Cabral MV, Ferreira PM, Silva PA, Jerónimo P, Marques T. Processos de envelhecimento em Portugal - Usos do tempo, redes sociais e condições de vida. Lisboa: Fundação Francisco Manuel dos Santos; 2013.	Portugal	999 participants aged 50+	Descriptive and categorical.	• Size • Composition	1) small predominantly familial network 2) small predominantly nonfamily network 3) big predominantly familial network 4) big predominantly nonfamily network
Burholt and Dobbs (2014)³⁷37 Burholt V, Dobbs C. A support network typology for application in older populations with a preponderance of multigenerational households. Ageing Soc 2014; 34:1142-1169.	UK, India and Bangladesh	590 participants aged 55+	Cluster analysis: K-means.	• Network size • Proportion of the network classified by gender, age, kin and non-kin • Proximity (living in the participant’s household or not) • Formal help	1) multigenerational households: older integrated networks 2) multigenerational households: younger family networks 3) family and friends integrated networks 4) non-kin restricted networks
Park et al. (2014)³⁸38 Park S, Smith J, Dunkle RE. Social network types and well-being among South Korean older adults. Aging Mental Health 2014; 18(1):72-80.	South Korea	4,251 South Korean seniors aged 65+	Cluster analysis: two-step cluster.	• Marital status • Social activities • Family size • Physical proximity to children • Frequency of contact with children • Frequency of contact with friends • Support from children and family	1) restricted type 2) couple-focused type 3) friend type 4) diverse type
Park et al. (2015)³⁹39 Park NS, Jang Y, Lee BS, Ko JE, Haley WE, Chiriboga DA. An Empirical Typology of Social Networks and Its Association With Physical and Mental Health: A Study With Older Korean Immigrants. J Gerontol Series B Psychol Sci Soc Sci 2015; 70(1):67-76.	USA	1,092 older Korean immigrants in Florida and New York aged 60+	Latent class analysis	• Marital status • Living arrangement • Number of close family members • Frequency of contact with close family members • Number of close friends • Frequency of contact with close friends • Participation in religious meetings • Participation in organized meetings	1) diverse 2) unmarried/diverse 3) married/co-residence 4) family focused 5) unmarried/restricted 6) restricted
Li and Zhang (2015)³⁴34 Li T, Zhang Y. Social network types and the health of older adults: Exploring reciprocal associations. Soc Sci Med 2015; 30(130):59-68.	China	4,190 older Chinese aged 64+	Cluster analysis: K-means.	• Current marital status • Number of close children • Frequency of playing cards and/or mahjong • Frequency of attending organized social activities • Support from family • Support from friends/neighbors	1) diverse 2) friend 3) family 4) restricted

	Structural		Functional/Interactional or contextual							Other
Study	Size (a)	Composition (b)	Geographic dispersion (c)	Frequency of contact (d)	Social support (e)	Social participation and/or engagement (f)	Intimacy/closeness (g)	Multiplexity of ties (h)	Duration of ties (Network stability) (i)	Satisfaction with relationships (j)	Network reduction (k)	Marital status (l)	Living arrangement (m)
Mugford and Kendig (1986)¹⁶16 Mugford S, Kendig H. Social relations: Networks and ties. In: Kendig H, editor. Ageing and families: A social networks perspective. Sydney: Allen and Unwin; 1986. p. 38-59.	🗸							ü
Wenger (1989; 1991)¹⁷17 Wenger GC. Support networks in old age: constructing a typology. In: Jefferys M, editor, Growing Old in the Twentieth Century. London: Routledge; 1989. p. 169-185.^,¹⁸18 Wenger GC. A network typology: from theory to practise. J Aging Stud 1991; 5(2):147-162.		🗸	🗸	🗸
Litwin (1995)²¹21 Litwin H. The social networks of elderly immigrants: An analytic typology. J Aging Stud 1995; 9(2):155-174.^,²²22 Litwin H. Unprooted in old age: soviet Jews and their social networks in Israel. Westport, CT: Praeger; 1995.	🗸	🗸	🗸	🗸			🗸		🗸
Melkas and Jylhä (1996)³⁰30 Melkas T, Jylhä M. Social network characteristics and social network types among Eldery People in Finland. In: Litwin H, editor. The social network of older people: a cross national analysis. Westport, CT: Praeger; 1996. p. 99-116.	🗸			🗸	🗸		🗸
Auslander (1996)²⁸28 Auslander G. The Interpersonal Milieu of Elderly People in Jerusalem. In: Litwin H, editor. The Social Networks of Older People: A Cross-National Analysis. London: Praeger; 1996. p. 77-97.		🗸		🗸	🗸	🗸					🗸
Stone and Rosenthal (1996)²⁹29 Stone L, Rosenthal C. Profiles of the social networks of Canada's elderly: An analysis of 1990 General Social Survey Data. In: Litwin H, editor. The Social Networks of Older People: A Cross-National Analysis. Westport: Praeger Publishers; 1996. p. 77-97.	🗸	🗸		🗸									🗸
Litwin (1997)²⁴24 Litwin H. Support network type and health service utilization. Res Aging 1997; 19:274-299.	🗸	🗸		🗸		🗸						🗸
Litwin (2001)²⁶26 H. Social network type and morale in old age. Gerontologist 2001; 41(4):516-24.	🗸	🗸		🗸		🗸						🗸
Fiori et al. (2006)³¹31 Fiori KL, Antonucci TC, Cortina KS. Social Network Typologies and Mental Health Among Older Adults. J Gerontol 2006; 61B(1):25-32.	🗸	🗸		🗸		🗸						🗸
Fiori et al. (2007)³²32 Fiori KL, Smith J, Antonucci TC. Social network types among older adults: a multidimensional approach. J Gerontol B Psychol Sci Soc Sci 2007; 62(6):322-330.	🗸	🗸	🗸	🗸	🗸	🗸	🗸			🗸		🗸
Cheng et al. (2009)³³33 Cheng S-T, Lee CKL, Chan ACM, Leung EMF, Lee J-J. Social network types and subjective well-being in chinese older adults. J Gerontol Psychol Sci 2009; 64B(6):713-722.	🗸	🗸		🗸	🗸	🗸
Doubova et al. (2010)³⁵35 Doubova SV, Pérez-Cuevas R, Espinosa-Alarcón P, Flores-Hernández S. Social network types and functional dependency in older adults in Mexico. BMC Public Health 2010; 10:104.	🗸	🗸		🗸		🗸						🗸
Litwin and Shiovitz-Ezra (2011)²⁷27 Litwin H, Shiovitz-Ezra S. Social network type and subjective well-being in a national sample of older Americans. Gerontologist 2011; 51:379-388.	🗸	🗸		🗸		🗸						🗸
Cabral et al. (2013)³⁶36 Cabral MV, Ferreira PM, Silva PA, Jerónimo P, Marques T. Processos de envelhecimento em Portugal - Usos do tempo, redes sociais e condições de vida. Lisboa: Fundação Francisco Manuel dos Santos; 2013.	🗸	🗸
Burholt and Dobbs (2014)³⁷37 Burholt V, Dobbs C. A support network typology for application in older populations with a preponderance of multigenerational households. Ageing Soc 2014; 34:1142-1169.	🗸	🗸	🗸		🗸
Park et al. (2014)³⁸38 Park S, Smith J, Dunkle RE. Social network types and well-being among South Korean older adults. Aging Mental Health 2014; 18(1):72-80.	🗸	🗸	🗸	🗸	🗸	🗸						🗸
Park et al. (2015)³⁹39 Park NS, Jang Y, Lee BS, Ko JE, Haley WE, Chiriboga DA. An Empirical Typology of Social Networks and Its Association With Physical and Mental Health: A Study With Older Korean Immigrants. J Gerontol Series B Psychol Sci Soc Sci 2015; 70(1):67-76.	🗸	🗸		🗸		🗸						🗸	🗸
Li and Zhang (2015)³⁴34 Li T, Zhang Y. Social network types and the health of older adults: Exploring reciprocal associations. Soc Sci Med 2015; 30(130):59-68.	🗸	🗸			🗸	🗸						🗸
Frequency (percentage)	16 (88.9%)	16 (88.9%)	5 (27.8%)	14 (77.8%)	7 (38.9%)	11 (61.1%)	3 (16.7%)	1 (5.6%)	1 (5.6%)	1 (5.6%)	1 (5.6%)	9 (50.0%)	2 (11.1%)

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[1] Collaborations

S Guadalupe: substantial contribution to the study design, literature review, data analysis, discussion, drafting the article, and final approval of the version to be published. HT Vicente: substantial contribution to the study design, data analysis, discussion, drafting the article, critical revision, and final approval of the version to be published.