Kawamura Kosuke, Nakai Ai, Yamada Kazuko, Morioka Ikuharu
Department of Nursing, Faculty of Nursing, Kyoto Tachibana University.
Graduate School of Health and Nursing Science, Wakayama Medical University.
Nihon Eiseigaku Zasshi. 2021;76(0). doi: 10.1265/jjh.20008.
The purpose of this study was to clarify the relationship of the annual transition of implementation of nonsmoking at eating and drinking establishments with indices of population/household and economy/labor by prefecture.
The prefectural rates of eating and drinking establishments implementing nonsmoking (hereafter, nonsmoking rate) were computed in a year using the data from "Tabelog". Forty-seven prefectures were classified by hierarchical cluster analysis into "prefecture clusters" 1 to 5 in descending order of the median of nonsmoking rates. The indices of population/household (e.g., percentage of the population aged 65 years and over and percentage of nuclear family household) and economy/labor (e.g., prefectural income per capita and percentage of construction and mining workers) were classified by hierarchical cluster analysis into 11 "index clusters", and the representative index in each index cluster was extracted from the results of the Jonckheere-Terpstra test. An ordinal logistic regression analysis was performed using the numbers 1 to 5 of prefecture clusters as dependent variables and the indices representing the index clusters as independent variables.
The percentage of the population aged 65 years and over and the percentage of construction and mining workers were positively related to the order of prefectural clusters.
To promote implementation of nonsmoking in eating and drinking establishments in prefectures especially in those with larger numbers of elderly people and construction and mining workers, it is important to inform the persons in charge that implementation of nonsmoking does not affect the number of customers.
本研究旨在阐明餐饮场所无烟政策实施的年度变化与各都道府县的人口/家庭以及经济/劳动力指标之间的关系。
利用“食べログ”的数据计算一年内各都道府县餐饮场所实施无烟政策的比例（以下简称无烟率）。通过层次聚类分析，根据无烟率中位数的降序将47个都道府县分为“都道府县集群”1至5类。人口/家庭指标（如65岁及以上人口百分比和核心家庭百分比）和经济/劳动力指标（如人均都道府县收入以及建筑和采矿工人百分比）通过层次聚类分析分为11个“指标集群”，并从Jonckheere-Terpstra检验结果中提取每个指标集群的代表性指标。以都道府县集群的1至5编号为因变量，以代表指标集群的指标为自变量进行有序逻辑回归分析。
65岁及以上人口百分比以及建筑和采矿工人百分比与都道府县集群的排序呈正相关。
为了在各都道府县，特别是在老年人和建筑及采矿工人数量较多的地区促进餐饮场所无烟政策的实施，向负责人告知实施无烟政策不会影响顾客数量非常重要。
