Skip to contents

Derive the CLSA Social Isolation Index (SII)

Source: R/derive_sii.R
derive_sii.Rd

Derive the CLSA Social Isolation Index (SII)

Usage

derive_sii(df)

Arguments

df

A data frame containing cleaned data for a survey cycle. Must include all columns required to compute the structural (SO), functional overall (FO), and functional support (FS) dimensions. See @examples for a minimal working input.

Value

A data frame with the same number of rows as df, plus a new column SII indicating the respondent's social isolation index score.

References

Wister A, Cosco T, Mitchell B, Menec V, Fyffe I. Development and concurrent validity of a composite social isolation index for older adults using the CLSA. Can J Aging. 2019;38(2):180-192. doi:10.1017/S0714980818000612

Canadian Longitudinal Study on Aging. Derived Variables — Social Support Availability (SSA). 2018. https://www.clsa-elcv.ca/wp-content/uploads/2023/06/dv_ssa_11apr2018_v1.1.pdf

Examples

df <- data.frame(
  SPA_OUTS = c(3, 3, 2),
  SPA_CHRCH = c(3, 5, 5),
  SPA_CLUB = c(5, 5, 5),
  SPA_EDUC = c(4, 4, 3),
  SPA_NEIBR = c(5, 4, 4),
  SPA_OTACT = c(4, 3, 3),
  SPA_SPORT = c(1, 3, 2),
  SPA_VOLUN = c(5, 4, 5),
  SN_CHILD_NB = c(2, 4, 0),
  SN_FRND_NB = c(0, 0, 7),
  SN_NEIBR_NB = c(3, 31, 2),
  SN_SIBLIV_NB = c(5, 6, 3),
  SN_RELLIV_NB = c(12, 60, 23),
  SN_PERWSCH_NB = c(50, 95, 100),
  SN_PERCOM_NB = c(0, 0, 0),
  SN_PERACT_NB = c(4, 10, 0),
  SN_SEECHILD = c(2, 1, NA),
  SN_SEESIB = c(2, 3, 4),
  SN_SEEREL = c(2, 4, 3),
  SN_SEEFRND = c(1, 1, 1),
  SN_SEENEIBR = c(2, 2, 6),
  SN_LIVH_NB = c(2, 5, 0),
  SDC_MRTL = c(2, 2, 1),
  SSA_DPAFF = c(100, 100, 50),
  SSA_DPEMO = c(62.5, 34.38, 75),
  SSA_DPSOC = c(58.33, 83.33, 75),
  SSA_DPTNG = c(50, 43.75, 62.5),
  DEP_LONLY = c(2, 4, 4),
  SPA_MORAC = c(2, 2, 2)
)
derive_sii(df)
#>   SPA_OUTS SPA_CHRCH SPA_CLUB SPA_EDUC SPA_NEIBR SPA_OTACT SPA_SPORT SPA_VOLUN
#> 1        3         3        5        4         5         4         1         5
#> 2        3         5        5        4         4         3         3         4
#> 3        2         5        5        3         4         3         2         5
#>   SN_CHILD_NB SN_FRND_NB SN_NEIBR_NB SN_SIBLIV_NB SN_RELLIV_NB SN_PERWSCH_NB
#> 1           2          0           3            5           12            50
#> 2           4          0          31            6           60            95
#> 3           0          7           2            3           23           100
#>   SN_PERCOM_NB SN_PERACT_NB SN_SEECHILD SN_SEESIB SN_SEEREL SN_SEEFRND
#> 1            0            4           2         2         2          1
#> 2            0           10           1         3         4          1
#> 3            0            0          NA         4         3          1
#>   SN_SEENEIBR SN_LIVH_NB SDC_MRTL SSA_DPAFF SSA_DPEMO SSA_DPSOC SSA_DPTNG
#> 1           2          2        2       100     62.50     58.33     50.00
#> 2           2          5        2       100     34.38     83.33     43.75
#> 3           6          0        1        50     75.00     75.00     62.50
#>   DEP_LONLY SPA_MORAC      SII
#> 1         2         2 3.345306
#> 2         4         2 2.267463
#> 3         4         2       NA