ArticleJournal of public health research2018
Gender differences in the relationship between built environment and non-communicable diseases: A systematic review.
Article in Journal of public health research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
12 citing papers in PubMed, 24 citations in OpenAlex.
- Neighborhood built environment and leukocyte telomere length among African American adults in the Jackson Heart Study.Annals of behavioral medicine : a publication of the Society of Behavioral Medicine · 2026Article
- The impact of objective urban features on perception of neighbourhood environments.Scientific reports · 2025Article
- Impact of neighborhood safety on adolescent physical activity in Saudi Arabia: gender and socio-economic perspectives.Frontiers in public health · 2025Article
- The gender gap in outpatient care for non-communicable diseases in Mexico between 2006 and 2022.Global health research and policy · 2024Article
- Beyond femininity or masculinity: gender typologies and healthy eating in early adulthood.European journal of nutrition · 2024Article
- The built environment, purpose-specific walking behaviour and overweight: evidence from Wuhan metropolis in central China.International journal of health geographics · 2024Article
- Association of composite park quality with park use in four diverse cities.Preventive medicine reports · 2023Article
- A comparative study of gender differences in healthy office building strategies.Frontiers in psychology · 2023Article
- Patterns and trends of in-hospital mortality due to non-communicable diseases and injuries in Tanzania, 2006-2015.PLOS global public health · 2023Article
- 24-hour movement behaviour profiles and their transition in children aged 5.5 and 8 years - findings from a prospective cohort study.The international journal of behavioral nutrition and physical activity · 2021Article
- Overview of "Systematic Reviews" of the Built Environment's Effects on Mental Health.Journal of environmental and public health · 2020Review
- Dose-response association of workplace facilities and policies with commuter bicycling among adults.Journal of transport & health · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Non-communicable diseases are on the rise globally. Risk factors of non-communicable diseases continue to be a growing concern in both developed and developing countries. With significant rise in population and establishment of buildings, rapid changes have taken place in the built environment. Relationship between health and place, particularly with non-communicable diseases has been established in previous literature. This systematic review assesses the current evidence on influence of gender in the relationship between built environment and non-communicable diseases. A systematic literature search using PubMed was done to identify all studies that reported relationship between gender and built environment. All titles and abstracts were scrutinised to include only articles based on risk factors, prevention, treatment and outcome of non-communicable diseases. The Gender Analysis Matrix developed by the World Health Organization was used to describe the findings of gender differences. Sex differences, biological susceptibility, gender norms/ values, roles and activities related to gender and access to/control over resources were themes for the differences in the relationship. A total of 15 out of 214 articles met the inclusion criteria. Majority of the studies were on risk factors of non-communicable diseases, particularly cardiovascular diseases. Gender differences in physical access to recreational facilities, neighbourhood perceptions of safety and walkability have been documented. Men and women showed differential preferences to walking, engaging in physical activity and in perceiving safety of the neighbourhood. Girls and boys showed differences in play activities at school and in their own neighbourhood environment. Safety from crime and safety from traffic were also perceived important to engage in physical activity. Gender norms and gender roles and activities have shown basis for the differences in the prevalence of non-communicable diseases. Sparse evidence was found on how built environment affects health seeking behaviour, preventive options or experience with health providers. Though yet unexplored in the developing or low/middle income countries, there seems to be a major role in the gendered perception of how men and women are affected by noncommunicable diseases. Large gaps still exist in the research evidence on gender-based differences in non-communicable diseases and built environment relationship. Future research directions could bring out underpinnings of how perceived and objective built environment could largely affect the health behaviour of men and women across the globe.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.