Table 3.
Stepwise multiple linear regression to identify the significant predictors of cancer incidence risk
| All countries n = 178 |
Developed countries (High Quality Data)n = 65 | Developing countries (Low Quality Data) n = 113 | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Rank | Predictor | Beta | Adjusted R2 | Predictor | Beta | Adjusted R2 | Predictor | Beta | Adjusted R2 | |
| All cancers excl. Non-melanoma skin cancer (C00–97, but C44) - all ages: both sexes | 1 | Family Size | −0.473*** | 0.502 | Family Size | −0.503*** | 0.403 | Family Size | −0.396*** | 0.145 |
| 2 | Life Expectancy | 0.330*** | 0.552 | Life Expectancy | 0.327*** | 0.487 | ^ | ^ | ^ | |
| All cancers excl. Non-melanoma skin cancer (C00–97, but C44)- all ages: female | 1 | Life Expectancy | 0.385*** | 0.402 | Family Size | −0.424*** | 0.320 | Life Expectancy | 0.296* | 0.075 |
| 2 | Family Size | −0.351*** | 0.459 | Life Expectancy | 0.353*** | 0.417 | ^ | ^ | ^ | |
| All cancers excl. Non-melanoma skin cancer (C00–97, but C44) - all ages: male | 1 | Family Size | − 0.576*** | 0.572 | Family Size | −0.563*** | 0.450 | Family Size | −0.522*** | 0.262 |
| 2 | Life Expectancy | 0.254*** | 0.601 | Life Expectancy | 0.268*** | 0.505 | ^ | ^ | ^ | |
| All cancers excl. Non-melanoma skin cancer (C00–97, but C44) – 0-49: both sexesa | 1 | Family Size | −0.754*** | 0.567 | Family Size | −0.662*** | 0.432 | Family Size | −0.640 *** | 0.296 |
| 2 | ^ | ^ | ^ | ^ | ^ | ^ | Urbanization | −0.246* | 0.340 | |
| All cancers excl. Non-melanoma skin cancer (C00–97, but C44) – 0-49: femalea | 1 | Family Size | − 0.755*** | 0.568 | Family Size | −0.641*** | 0.404 | Family Size | −0.531*** | 0.272 |
| All cancers excl. Non-melanoma skin cancer (C00–97, but C44) – 0-49: malea | 1 | Family Size | −0.730*** | 0.530 | Family Size | −0.685*** | 0.464 | Family Size | −0.610*** | 0.247 |
| 2 | ^ | ^ | ^ | ^ | ^ | ^ | Urbanization | −0.291** | 0.312 | |
Note: Significance level: ***p < 0.001, **p < 0.01, *p < 0.05
Variables (log-transformed) entered for multiple linear regression (stepwise) analysis: Family Size, Life Expectancy (e60), GDP PPP, Urbanization and Biological State Index (Ibs)
aLife expectancy (e50) was not included as it is not relevant in population segment aged 0–49 years
^ No other variable identified as the significant predictor
Data sources and variable meanings:
The International Agency for Research published cancer incidence rates (per 100,000 in 2012) of all cancers incidence rate by sex (total, male and female, 0–49 years and all ages respectively); bladder, breast, cervix uteri, colorectum, corpus uteri, ovary and stomach
The World Bank data: Total Fertility Rate (between 2009 and 2011), GDP PPP (per capita purchasing power parity in current international $ in 2010) and Urbanization (the percentage of total population living in urban areas in 2010)
The United Nations data: Life expectancy (e60, 2005–2010), the total population in households and the number of households for calculating household size
United Nations published (2008) country specific fertility data and WHO published (2012) life tables were used for calculating the Biological State Index (Ibs)