Dorien T. Beeres , Joost Oude Groeniger , Lili L. Kókai , Frank J. van Lenthe
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Generalized Linear Models were used to estimate the probability of individual smoking and overweight related to (changes) in the neighbourhood prevalence of smoking and overweight, controlling for prior health (behaviors) and socio-demographic factors. Generalized Additive Models were fitted to assess non-linearity.</div><div>The sample included 31,753 individuals across 957 neighbourhoods. A five percent higher prevalence of neighbourhood smoking in 2016 was associated with an increased relative risk of individual smoking in 2020 (RR = 1.13, 95 %CI 1.04–1.23). A five percent higher prevalence of overweight in 2016 was related to a nearly half-point higher individual BMI in 2020 (B = 0.47, 95 %CI 0.40–0.55). Non-linear associations were observed between neighbourhood overweight prevalence (2012, 2016) and individual BMI (2020), with steeper BMI increases in neighbourhoods where around half of the residents were overweight. For smoking the relationship was linear. Neighbourhood prevalence was not related to individual changes in smoking and BMI from 2016 to 2020.</div><div>Considering local descriptive norms might offer opportunities to tackle neighbourhood inequalities in health more effectively.</div></div>","PeriodicalId":49302,"journal":{"name":"Health & Place","volume":"94 ","pages":"Article 103481"},"PeriodicalIF":4.1000,"publicationDate":"2025-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Local descriptive norms, smoking and body mass index in the Netherlands: Population-based study between 2012 and 2020\",\"authors\":\"Dorien T. Beeres , Joost Oude Groeniger , Lili L. 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引用次数: 0
摘要
了解地方卫生规范与个人行为之间的关系可以为减少邻里卫生不平等的政策提供信息。本研究考察了当地的描述性规范(以社区中吸烟和超重的流行程度来衡量)与个人吸烟和体重指数(BMI)之间的关系。我们使用来自荷兰生命线队列的数据和现有的政策工具,政策制定者的小区域估计(SMAPs),来估计荷兰北部(2012年,2016年)的社区吸烟和超重患病率以及这些年之间的变化。这些估计与2020年的个人吸烟和BMI以及2016年至2020年的变化有关。使用广义线性模型来估计个人吸烟和超重与社区吸烟和超重患病率(变化)相关的概率,控制先前的健康(行为)和社会人口因素。拟合了广义可加模型来评估非线性。样本包括957个社区的31753人。2016年社区吸烟率增加5%与2020年个人吸烟相对风险增加相关(RR = 1.13, 95% CI 1.04-1.23)。2016年超重患病率增加5%与2020年个体BMI增加近0.5点相关(B = 0.47, 95% CI 0.40-0.55)。研究发现,社区超重患病率(2012年、2016年)与个体BMI(2020年)之间存在非线性关联,在大约一半居民超重的社区,BMI增幅更大。对于吸烟,这种关系是线性的。2016 - 2020年,社区患病率与吸烟和BMI的个体变化无关。考虑地方描述性规范可能为更有效地解决邻里健康不平等问题提供机会。
Local descriptive norms, smoking and body mass index in the Netherlands: Population-based study between 2012 and 2020
Understanding the relationship between local health norms and individual behaviors can inform policies to reduce neighbourhood health inequalities. This study examines how local descriptive norms, measured as the prevalence of smoking and overweight in neighbourhoods, relate to individual smoking and body mass index (BMI) over time.
We used data from the Dutch Lifelines cohort and an existing policy instrument, SMall Area estimates for Policymakers (SMAPs), to estimate neighbourhood smoking and overweight prevalence in the Northern Netherlands (2012, 2016) and changes between these years. These estimates were linked to individual smoking and BMI in 2020 and to changes from 2016 to 2020. Generalized Linear Models were used to estimate the probability of individual smoking and overweight related to (changes) in the neighbourhood prevalence of smoking and overweight, controlling for prior health (behaviors) and socio-demographic factors. Generalized Additive Models were fitted to assess non-linearity.
The sample included 31,753 individuals across 957 neighbourhoods. A five percent higher prevalence of neighbourhood smoking in 2016 was associated with an increased relative risk of individual smoking in 2020 (RR = 1.13, 95 %CI 1.04–1.23). A five percent higher prevalence of overweight in 2016 was related to a nearly half-point higher individual BMI in 2020 (B = 0.47, 95 %CI 0.40–0.55). Non-linear associations were observed between neighbourhood overweight prevalence (2012, 2016) and individual BMI (2020), with steeper BMI increases in neighbourhoods where around half of the residents were overweight. For smoking the relationship was linear. Neighbourhood prevalence was not related to individual changes in smoking and BMI from 2016 to 2020.
Considering local descriptive norms might offer opportunities to tackle neighbourhood inequalities in health more effectively.