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Original Research

Coincident Patterns of Suicide Risk Among Adult Patients with a Primary Solid Tumor: A Large-Scale Population Study

, , , , ORCID Icon & ORCID Icon
Pages 1107-1119 | Published online: 25 Mar 2021

Figures & data

Table 1 Demographic Characteristics Among Patients

Figure 1 Impact of different clinical features on suicide risk by cancer sites.

Notes: Box indicated OR; segment indicated 95% confidence interval; OR smaller than 1 indicated benefit, and OR larger than 1 indicated hazard. Cases are limited to calculate OR of thyroid and colorectum under insurance, and OR of skin (melanoma) under race.
Figure 1 Impact of different clinical features on suicide risk by cancer sites.

Figure 2 Trend in suicide rate for different gender, 1975–2017. (A) Suicide rate for male patients, (B) suicide rate for female patients.

Note: Suicide rate was age-adjusted rate.
Figure 2 Trend in suicide rate for different gender, 1975–2017. (A) Suicide rate for male patients, (B) suicide rate for female patients.

Table 2 Characterization of Socioeconomic Variables by Clusters

Figure 3 Patterns of SES factor scores across SES clusters. (A) All patient pattern, (B) male patient pattern, (C) female patient pattern.

Notes: Factor 1 (economic and education disadvantage): higher rates of community-level poverty, lower income, higher unemployment, a lack of higher education, and lower rates of immigration within the past year. Factor 2 (residential instability): lower rates of residents staying in the same house during the past year and higher rates of them moving within counties. Factor 3 (immigration/crowding): higher rates of community-level language isolation, not being born in the US, crowding, education at or below 9th grade, and immigration to the US within the past year.
Figure 3 Patterns of SES factor scores across SES clusters. (A) All patient pattern, (B) male patient pattern, (C) female patient pattern.

Figure 4 Adjusted hazard risk of primary solid tumor associated with socioeconomic factors (A) and clusters (B).

Notes: Adjusted models controlled for the following prognostic indicators: age at diagnosis, race, sex and insurance status.
Figure 4 Adjusted hazard risk of primary solid tumor associated with socioeconomic factors (A) and clusters (B).

Figure 5 Adjusted hazard risk of primary solid tumor associated with socioeconomic clusters for different gender. (A) Adjusted hazard risk for male patients, (B) adjusted hazard risk for female patients.

Notes: Adjusted models controlled for the following prognostic indicators: age at diagnosis, race and insurance status.
Figure 5 Adjusted hazard risk of primary solid tumor associated with socioeconomic clusters for different gender. (A) Adjusted hazard risk for male patients, (B) adjusted hazard risk for female patients.