DOI: 10.5281/zenodo.13374382
title: Data from: Cross-sectional personal network analysis of adult smoking in rural areas

description: This data package, titled Data from: Cross-sectional personal network analysis of adult smoking in rural areas, includes several files. First, there are annonymized raw data files in .rds file format (ego_data.rds & alter_data.rds). Second, there is the R code that allow the replication of various statistical analyses. Interested parts may consult the R code as .pdf file format (Supplementary_Material_R_Code.pdf), .Rmd file format (that can be run to create the .pdf file format) and the .R file format (that can be accesed with R and RStudio). Moreover, the labels files are useful for recreating the Supplementary Material pdf file. 

Readers should know that this dataset corresponds to the study (paper) Cross-sectional personal network analysis of adult smoking in rural areas. 

The ego_data.rds file includes 20 variables by 76 observations (respondents) while the alter_data.rds file includes 46 variables by 1681 observations (social contacts). We collected this information by deploying a personal network analysis research design. Initially, we interviewed 83 respondents (dubbed egos). Due to missing data, we kept in the analysis 76 egos and dropped seven respondents. We recruited the respondents using a link-tracining sampling framework. We started from a number of six seeds. We interviewed the seeds then we asked them to recommend other people in the study. We continued in a referee-referral fashion until 83 interviews were completed. The study was performed in a small rural Romanian community (4124 residents): Lerești (Argeș county). 

Our study was carried out in accordance with the recommendations, relevant guidelines, and regulations (specifically, those provided by the Romanian Sociologists Society, i.e., the professional association of Romanian sociologists). The research was performed in accordance with the Declaration of Helsinki. The research protocol was approved by a named institutional/licensing committee. Specifically, the Ethics Committee of the Center for Innovation in Medicine (InoMed) reviewed and approved all these study procedures (EC-INOMED Decision No. D001/09-06-2023 and No. D001/19-01-2024). All participants gave written informed consent. The privacy rights of the study participants were observed. The authors did not have access to information that could identify participants. Face-to-face interviews were collected between September 13 – 23, 2023, in Lerești, Romania. After each interview, information that could identity the participants were anonymized. Before conducting the interview, we provided each participant with a dossier containing informative materials about the project's objectives, how the data would be analyzed and reported, and their participation rights (e.g., the right to withdraw from the project at any time, even after the interview was completed). All study participants gave their written informed consent prior to enrolment in the study.

The variables in the ego_data.rds file are as follows:

(1) "networkCanvasEgoUUID" (unique alpha numeric code for each observation); 

(2) "ego_age" (the age of each study participant); 

(3) "ego_age.cen" (the age of each study participant, centered); 

(4) "ego_educ_b" (the education of each ego, binary); 

(5) "ego_educ_f" (the education of each ego, educational achievement); 

(6) "ego_marital.s_f" (the marital status of each ego);

(7) "ego_occupation.cat2_f" (the occupation of each ego); 

(8) "ego_occupation_b" (the occupation of each ego, unemployed vs employed); 

(9) "ego_relstatus_b" (whether the ego is in a relationship or not); 

(10) "ego_sex_f" (the sex of the ego assigned at birth; male & female); 

(11) "ego_sex_n" (the sex of the ego assigned at birth; 0 = male & 1 = female);  

(12) "ego_smk_status_b1" (smoking status: 1 smoking, 0 others);

(13) "ego_smk_status_b2" (smoking status: 1 former smoker, 0 others);  

(14) "ego_smk_status_b3" (smoking status: 1 not a smoker, 0 others); 

(15) "ego_smkstatus_f"  (smoking status: former smoker, never-smoker, non-smoker (smoked too little), occasional smoker, smoker); 

(16) "ego_smoking_3cat"  (smoking status: non-smoker, former smoker, smoker);

(17) "net.size" (number of social contacts, alters, that were elicited by an ego);

(18) "net.components" (number of strong components in the personal network);

(19) "net.deg.centralization" (personal network degree centralization);

(20) "net.density" (personal network density). 

The variables in the alter_data.rds file are as follows:

(1) "alter_age" (the age of the alter); 

(2) "alter_age.cen" (the age of the alter - centered); 

(3) "alter_btw" (alter's betweenness score); 

(4) "alter_btw.cen" (alter's betweenness score - centered); 

(5) "alter_deg" (alter's degree score); 

(6)  "alter_deg.cen" (alter's degree score - centered);  

(7) "alter_educ_b" (alter's education); 

(8) "alter_educ_f"  (alter's education); 

(9) "alter_marital.s_f" (alter's marital status); 

(10) "alter_relstatus_b" (alter's marital status - binary variable);

(11) "alter_sex_f" (alter's sex assigned at birth);

(12) "alter_sex_n" (alter's sex assigned at birth; 1 - female; 0 - male); 

(13) "alter_smk_status_b1" (alter's smoking status; 1 smoker, 0 others);

(14) "alter_smk_status_b2" (alter's smoking status; 1 former smoker, 0 others);

(15) "alter_smk_status_b3" (alter's smoking status; 1 non-smoker, 0 others);

(16) "alter_smoking_3cat" (alter's smoking status: three categories - smoker, non-smoker, former smoker);

(17) "assortativity_score_fsmoker" (assortativity score for alter, former smoker);

(18) "assortativity_score_nsmoker" (assortativity score for alter, non-smoker);

(19) "assortativity_score_smoker" (assortativity score for alter, smoker);

(20) "ego.alter_meet_f" (ego's meeting frequency with alter); 

(21) "ego_alter_meet_b" (ego's meeting frequency with alter, binary variable);

(22) "ego.alter_meet_n" (ego's meeting frequency with alter, numerical codes);

(23) "alter_rel.w.ego_f" (type of alters in an ego's network);

(24) "networkCanvasUUID" (alpha numeric code for alter);

(25) "networkCanvasEgoUUID" (alpha numeric code for ego); 

(26) "ego_smkstatus_f" (smoking status: former smoker, never-smoker, non-smoker (smoked too little), occasional smoker, smoker); 

(27) "ego_smoking_3cat" (three categories, smoking status: former smoker, non-smoker, smoker);

(28) "ego_type_fsmk" (former smoking egos by type of ego-alter relationship);

(29) "ego_type_nsmk" (non smoking egos by type of ego-alter relationship);

(30) "ego_type_smk" (smoking egos by type of ego-alter relationship);

(31) "ego_sex_f" (ego's sex, binary);

(32) "ego_sex_n" (ego's sex, numerical code, 1 female, 0 male); 

(33) "ego_educ_b" (ego's education, binary variable)

(34) "ego_age" (ego's age)

(35) "ego_age.cen" (ego's age, centered)

(36) "ego_relstatus_b" (ego's marital status, binary variable)

(37) "ego_occupation_b" (ego's employment status, binary variable)

(38) "net.components" (number of strong components in the personal network)

(39) "net.deg.centralization" (degree centralization score in the personal networ)

(40) "net.density" (density score in the personal network)

(41) "prop_fsmokers" (proportion of former smokers in the personal network - alters)

(42) "prop_fsmokers.cen" (proportion of former smokers in the personal network, centered- alters)

(43) "prop_nsmokers" (proportion of non-smokers in the personal network- alters)

(44) "prop_nsmokers.cen" (proportion of non-smokers in the personal network, centered- alters)

(45) "prop_smokers" (proportion of smokers in the personal network- alters)

(46) "prop_smokers.cen" (proportion of smokers in the personal network, centered- alters)