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International Journal of
            Population Studies                                                  Health-related quality of life and mortality



            and health status), and tertiles 1 and 2 comprised the   as white. Only 17.7% of participants earned three or more
            category one (worst QoL and health status). Then, we   minimum wages, and 29.2% had more than 8  years of
            evaluated the scales of physical functioning (0 ≥ 90; 1 ≤ 85),   education (Table 1).
            role-physical (0 ≥ 99; 1 ≤ 93.75), bodily pain (0 ≥ 80;   Utilizing the Kaplan–Meier method, we found that
            1 ≤ 74), general health (0 ≥ 75; 1 ≤ 72), vitality (0 ≥ 81.25;   all HRQoL domains exhibited proportional risks and
            1 ≤ 75), role-emotional (0 ≥ 99; 1 ≤ 92), social functioning   statistically significant differences (p < 0.05) between the
            (0 = 100; 1 ≤ 99), and mental health (0 ≥ 80; 1 ≤ 75). The   survival curves, except for bodily pain. The lowest survival
            cutoff scores for the physical (0 ≥ 50.2117; 1 ≤ 50.2109)
            and mental (0 ≥ 55.6867; 1 ≤ 55.6861) components were   rates were observed in individuals reporting lower scores
            also defined.                                      in physical functioning and role-physical, followed by
                                                               role-emotional, social functioning, and general health
              Additional independent variables included gender, age   (Figures 2 and 3). Both PC and MC displayed proportional
            (60 – 69 years, 70 – 79 years, and ≥80 years), race/color   risks and significant differences, with lower survival
            (white and black/brown), education (0 – 3, 4 – 7, and   associated with PC (Figure 4).
            ≥8 years), income (<1 minimum wage (MW), 1 – 3 MWs
            and ≥3 MWs), with 415.00 Brazilian real as the reference   In terms of physical functioning, 50% of deaths in the
            MW in 2008 (Law 11709/2008), number of chronic     tertile with the highest score (THS) occurred at 5.91 years,
            diseases (none, one, or two, or more), and physical activity   while in the tertile with the lowest score (TLS), this occurred
            (active, insufficiently active, and inactive).     at 5.06 years. The survival times for other domains were
                                                               as follows: role-physical (5.84 THS vs. 4.97 TLS), bodily
              All independent variables were collected at baseline;   pain (5.56 THS vs. 5.15 TLS), general health (5.33 THS vs.
            in other words, there were no time-dependent variables   5.28 TLS), vitality (5.60 THS vs. 5.08 TLS), role-emotional
            included in this study.                            (5.77 THS vs. 4.47 TLS), social functioning (5.58 THS vs.

            2.2. Data analysis
                                                               Table 1. Characteristics of the Health Care Survey of the
            Survival functions were calculated using the Kaplan–  Municipality of Campinas, São Paulo, Brazil Cohort
            Meier method for each SF-36 domain and component,   (2008 – 2018) by survival status
            with comparisons made using the log-rank test at a
            significance level of 5%. Crude and adjusted hazard ratios   Variables  Non‑death  Death   Total
            (HRs) for gender, age, income, education, chronic diseases,       n a   %     n a  %     n a   %
            and physical activity were estimated using Cox semi-  Sex
            parametric regression models. In addition, multivariate   Male    327   61.4  208  38.6  535  41.2
            Cox regression models were stratified by sex. Simple and   Female  528  69.2  237  30.8  765  58.8
            multiple regression models were estimated separately for   Age group
            each domain and component of SF-36, along with their
            respective 95% confidence intervals (CIs). The multiple   60 – 69  538  79.8  138  20.2  676  52.0
            regression model was adjusted for gender, age, income,   70 – 79  266   60.2  177  39.8  443  34.1
            education, physical activity, and chronic diseases.  80 and older  51   27.5  130  72.5  181  13.9
              To assess the model fit, Schoenfeld residuals were   Race/skin color
            calculated, and the global proportionality test was applied   White  671  66.3  342  33.7  1013  79.9
            (p < 0.05).                                         Black         183   64.2  102  35.8  285  22.1
                                                               Income (MMW) b
              All analyses were performed using STATA 15.0 (Stata
            Corp., College Station, USA), with regression models   <1 MMW     335   60.9  213  39.1  548  42.2
            estimated using the survey module to account for the   ≥1 – ≤3 MMW  347  66.7  174  33.3  521  40.1
            complex sampling plan of ISACamp.                   ≥3 MW         173   74.7  58   25.3  231  17.7
                                                               Education (years)
            3. Results                                          0 – 3         281   59.0  193  41.0  474  36.5
            The median age of the study population was 69  years.   4 – 7     293   65.6  152  34.4  445  34.3
            Among the 855 older individuals who were not deceased,   8 and more  281  74.0  99  26.0  380  29.2
            61.75% were female, while of the 455 who had died, 53.25%   Notes:  n=Number of individuals in the unweighted sample.  Family
                                                                                                      b
                                                                    a
            were female. In the total sample (n = 1,300), more than half   income per capita in relation to MMW.
            (52.0%) were aged 60 – 69 years, with 79.9% identifying   Abbreviation: MW: Minimum wage.

            Volume 11 Issue 1 (2025)                        64                        https://doi.org/10.36922/ijps.1928
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