## 3 Results
\begin{table}
\begin{tabular}{c c c c c c} \hline \hline  & \multicolumn{3}{c}{**Weighted Sample**} & \multicolumn{3}{c}{**National Data \({}^{**}\)**} & **Permanent** \\  & **(n = 407) (\%)** & **\%** & **SE** & **95\% CI** & **(N = 42,414,900) (\%)** & **Population of Kyiv \({}^{*}\)** \\  & & & & **Lower-Upper** & **(N = 2,884,500) (\%)** \\ \hline Sex & & & & & \\ Male & 38.1 & 45.5 & 2.9 & 39.9–51.1 & 46.3 \({}^{**}\) & 46.3 \({}^{*}\) \\ Female & 61.9 & 54.5 & 2.9 & 48.9–60.1 & 53.7 \({}^{**}\) & 53.7 \({}^{*}\) \\ \hline Age group, years & & & & & \\
18–29 & 10.6 & 21.5 & 2.8 & 16.6–27.5 & 19.5 \({}^{**}\) & \(\geq\)18 years–81.8 \({}^{*}\) \\
30–44 & 18.4 & 32.1 & 2.9 & 26.7–38.1 & 27.9 \({}^{**}\) & \\
45–59 & 35.6 & 24.3 & 2.0 & 20.5–28.4 & 25.7 \({}^{**}\) & \\ \(>\)60 & 35.4 & 22.1 & 1.9 & 18.6–26.0 & 26.9 \({}^{**}\) & \(\geq\)60 years–20.5 \({}^{*}\) \\ \hline Education & & & & & \\ Primary or secondary & 0.7 & 0.7 & 0.4 & 0.2–2.3 & \\ Secondary school completed & 7.1 & 9.8 & 1.9 & 6.7–14.3 & \\ Vocational & 11.6 & 10.2 & 1.6 & 7.4–13.9 & \\ Specialized secondary education & 16.7 & 13.8 & 1.8 & 10.6–17.8 & \\ Basic higher education (Bachelor) & 4.7 & 5.7 & 1.4 & 3.5–9.3 & \\ University degree (Specialist, Master) & 59.1 & 59.8 & 2.8 & 54.2–65.1 & \\ \hline Employment status & & & & & \\ Employed (full or part-time) & 47.2 & 57.1 & 2.8 & 51.6–62.4 & \\ Self-employed & 1.7 & 1.4 & 0.6 & 0.6–3.1 & \\ Temporarily unemployed; looking for & 2.7 & 1.8 & 0.5 & 1.0–3.2 & \\ a job & 0.7 & 0.9 & 0.6 & 0.3–3.0 & \\ Non-working and not looking for a job & 5.2 & 6.3 & 1.4 & 3.9–9.8 & \\ Student & 4.2 & 8.4 & 1.9 & 5.3–13.0 & \\ Working pensioner & 35.1 & 21.7 & 1.8 & 18.3–25.5 & \\ Disability & 3.2 & 2.6 & 0.8 & 1.4–4.6 & \\ \hline Family’s financial situation & & & & & \\ We do not have enough money even & 3.0 & 2.3 & 0.8 & 1.2–4.4 & \\ for food & & & & & \\ We have enough money for food, but & 30.8 & 25.1 & 2.3 & 20.8–29.9 & \\ We have enough money for food and & & & & & \\ clothes, and we can save a little, but & 41.5 & 42.5 & 2.8 & 37.1–48.2 & \\ not enough to buy expensive things & & & & & \\ We can afford to buy some expensive things or save money & 24.4 & 29.9 & 2.8 & 24.8–35.6 & \\ We can make significant savings & 0.2 & 0.2 & 0.2 & 0.0–1.5 & \\ \hline Smoking status & & & & & \\ Smoking & 17.5 & 22.9 & 2.6 & 18.2–28.4 & \\ Non-smoking & 82.5 & 77.1 & 2.6 & 71.6–81.8 & \\ \hline BMI & & & & & \\ Normal weight & 42.6 & 52.6 & 2.9 & 46.9–58.1 & \\ Overweight & 38.1 & 34.3 & 2.7 & 29.2–39.8 & \\ Obesity & 19.3 & 13.1 & 1.6 & 10.3–16.6 & \\ \hline PA & & & & & \\ \(\leq\)150 min/week & & & & & \\ \(\geq\)150 min/week & & & & & \\ \hline \hline \end{tabular} Note: CI: confidence interval, SE: standard error, BMI: body mass index, PA: physical activity. \({}^{*}\) Permanent population of Kyiv [[http://www.kiev.ukrstat.gov.ua/](http://www.kiev.ukrstat.gov.ua/)]([http://www.kiev.ukrstat.gov.ua/](http://www.kiev.ukrstat.gov.ua/)) (accessed on 6 February 2024), ** State Statistics Service of Ukraine [[http://www.ukrstat.gov.ua/](http://www.ukrstat.gov.ua/)]([http://www.ukrstat.gov.ua/](http://www.ukrstat.gov.ua/)) (accessed on 6 February 2024).  
\end{table} 
Table 1: The demographic distribution between the study participants and the general population. solution explained 64% of the variance. The Kaiser-Meyer-Olkin measure of sampling adequacy (0.83) and [PERSON]'s test of sphericity with a significance level of \(p<0.001\) confirmed that the factor analysis was suitable for the questionnaire data. The first component labelled \"Outdoor infrastructure\" included four items and explained 41.5% of the variance with an initial eigenvalue of 4.15. The second factor, named \"Environment\", contained three items, and explained 12.5% of the variance, and the initial eigenvalue was 1.25. The third factor, \"Safety and roads\", included three items and explained 10% of the variance, the initial eigenvalue being 0.99.