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Social networks of people with serious mental illness who smoke: potential role in a smoking cessation intervention.
Meza, Benjamin P L; Pollack, Craig E; Tilchin, Carla; Jennings, Jacky M; Latkin, Carl A; Cather, Corinne; Dickerson, Faith; Evins, Anne E; Wang, Nae-Yuh; Daumit, Gail L; Yuan, Christina; Gudzune, Kimberly A.
Affiliation
  • Meza BPL; Division of General Internal Medicine and Health Services Research, University of California Los Angeles, Los Angeles, CA, USA.
  • Pollack CE; Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
  • Tilchin C; Johns Hopkins University School of Nursing, Baltimore, MD, USA.
  • Jennings JM; Center for Child and Community Health Research (CCHR), Department of Pediatrics, Johns Hopkins School of Medicine, Baltimore, MD, USA.
  • Latkin CA; Department of Health, Behavior and Society, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
  • Cather C; Center for Child and Community Health Research (CCHR), Department of Pediatrics, Johns Hopkins School of Medicine, Baltimore, MD, USA.
  • Dickerson F; Department of Health, Behavior and Society, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
  • Evins AE; Department of Health, Behavior and Society, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
  • Wang NY; Center of Excellence for Psychosocial and Systematic Research, Harvard Medical School, Boston, MA, USA.
  • Daumit GL; Center for Addiction Medicine, Massachusetts General Hospital, Boston, MA, USA.
  • Yuan C; Sheppard Pratt, Baltimore, MD, USA.
  • Gudzune KA; Center of Excellence for Psychosocial and Systematic Research, Harvard Medical School, Boston, MA, USA.
J Ment Health ; : 1-10, 2024 Apr 08.
Article in En | MEDLINE | ID: mdl-38588708
ABSTRACT

BACKGROUND:

Smoking is a major contributor to morbidity and mortality among individuals with serious mental illness (SMI) and social networks may play an important role in smoking behaviors.

AIMS:

Our objectives were to (1) describe the network characteristics of adults with SMI who smoke tobacco (2) explore whether network attributes were associated with nicotine dependence.

METHODS:

We performed a secondary analysis of baseline data from a tobacco smoking cessation intervention trial among 192 participants with SMI. A subgroup (n = 75) completed questions on the characteristics of their social network members. The network characteristics included network composition (e.g. proportion who smoke) and network structure (e.g. density of connections between members). We used multilevel models to examine associations with nicotine dependence.

RESULTS:

Participant characteristics included a mean age 50 years, 49% women, 48% Black, and 41% primary diagnosis of schizophrenia/schizoaffective disorder. The median personal network proportion of active smokers was 22%, active quitters 0%, and non-smokers 53%. The density of ties between actively smoking network members was greater than between non-smoking members (55% vs 43%, p = .02). Proportion of network smokers was not associated with nicotine dependence.

CONCLUSIONS:

We identified potential social network challenges and assets to smoking cessation and implications for network interventions among individuals with SMI.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: J Ment Health Journal subject: PSICOLOGIA / PSIQUIATRIA Year: 2024 Document type: Article Affiliation country: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: J Ment Health Journal subject: PSICOLOGIA / PSIQUIATRIA Year: 2024 Document type: Article Affiliation country: United States