↓ Skip to main content

Participation in environmental enhancement and conservation activities for health and well‐being in adults: a review of quantitative and qualitative evidence

Overview of attention for article published in Cochrane database of systematic reviews, May 2016
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

1 news outlet
2 blogs
67 tweeters
4 Facebook pages


9 Dimensions

Readers on

141 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Participation in environmental enhancement and conservation activities for health and well‐being in adults: a review of quantitative and qualitative evidence
Published in
Cochrane database of systematic reviews, May 2016
DOI 10.1002/14651858.cd010351.pub2
Pubmed ID

Husk, Kerryn, Lovell, Rebecca, Cooper, Chris, Stahl-Timmins, Will, Garside, Ruth, Kerryn Husk, Rebecca Lovell, Chris Cooper, Will Stahl-Timmins, Ruth Garside


There is growing research and policy interest in the potential for using the natural environment to enhance human health and well-being. This resource may be underused as a health promotion tool to address the increasing burden of common health problems such as increased chronic diseases and mental health concerns. Outdoor environmental enhancement and conservation activities (EECA) (for instance unpaid litter picking, tree planting or path maintenance) offer opportunities for physical activity alongside greater connectedness with local environments, enhanced social connections within communities and improved self-esteem through activities that improve the locality which may, in turn, further improve well-being. To assess the health and well-being impacts on adults following participation in environmental enhancement and conservation activities. We contacted or searched the websites of more than 250 EECA organisations to identify grey literature. Resource limitations meant the majority of the websites were from UK, USA, Canada and Australia. We searched the following databases (initially in October 2012, updated October 2014, except CAB Direct, OpenGrey, SPORTDiscus, and TRIP Database), using a search strategy developed with our project advisory groups (predominantly leaders of EECA-type activities and methodological experts): ASSIA; BIOSIS; British Education Index; British Nursing Index; CAB Abstracts; Campbell Collaboration; Cochrane Public Health Specialized Register; DOPHER; EMBASE; ERIC; Global Health; GreenFILE; HMIC; MEDLINE-in-Process; MEDLINE; OpenGrey; PsychINFO; Social Policy and Practice; SPORTDiscus; TRoPHI; Social Services Abstracts; Sociological Abstracts; The Cochrane Library; TRIP database; and Web of Science. Citation and related article chasing was used. Searches were limited to studies in English published after 1990. Two review authors independently screened studies. Included studies examined the impact of EECA on adult health and well-being. Eligible interventions needed to include each of the following: intended to improve the outdoor natural or built environment at either a local or wider level; took place in urban or rural locations in any country; involved active participation; and were NOT experienced through paid employment.We included quantitative and qualitative research. Includable quantitative study designs were: randomised controlled trials (RCTs), cluster RCTs, quasi-RCTs, cluster quasi-RCTs, controlled before-and-after studies, interrupted-time-series, cohort studies (prospective or retrospective), case-control studies and uncontrolled before-and-after studies (uBA). We included qualitative research if it used recognised qualitative methods of data collection and analysis. One reviewer extracted data, and another reviewer checked the data. Two review authors independently appraised study quality using the Effective Public Health Practice Project tool (for quantitative studies) or Wallace criteria (for qualitative studies). Heterogeneity of outcome measures and poor reporting of intervention specifics prevented meta-analysis so we synthesised the results narratively. We synthesised qualitative research findings using thematic analysis. Database searches identified 21,420 records, with 21,304 excluded at title/abstract. Grey literature searches identified 211 records. We screened 327 full-text articles from which we included 21 studies (reported in 28 publications): two case-studies (which were not included in the synthesis due to inadequate robustness), one case-control, one retrospective cohort, five uBA, three mixed-method (uBA, qualitative), and nine qualitative studies. The 19 studies included in the synthesis detailed the impacts to a total of 3,603 participants: 647 from quantitative intervention studies and 2630 from a retrospective cohort study; and 326 from qualitative studies (one not reporting sample size).Included studies shared the key elements of EECA defined above, but the range of activities varied considerably. Quantitative evaluation methods were heterogeneous. The designs or reporting of quantitative studies, or both, were rated as 'weak' quality with high risk of bias due to one or more of the following: inadequate study design, intervention detail, participant selection, outcome reporting and blinding.Participants' characteristics were poorly reported; eight studies did not report gender or age and none reported socio-economic status. Three quantitative studies reported that participants were referred through health or social services, or due to mental ill health (five quantitative studies), however participants' engagement routes were often not clear.Whilst the majority of quantitative studies (n = 8) reported no effect on one or more outcomes, positive effects were reported in six quantitative studies relating to short-term physiological, mental/emotional health, and quality-of-life outcomes. Negative effects were reported in two quantitative studies; one study reported higher levels of anxiety amongst participants, another reported increased mental health stress.The design or reporting, or both, of the qualitative studies was rated as good in three studies or poor in nine; mainly due to missing detail about participants, methods and interventions. Included qualitative evidence provided rich data about the experience of participation. Thematic analysis identified eight themes supported by at least one good quality study, regarding participants' positive experiences and related to personal/social identity, physical activity, developing knowledge, spirituality, benefits of place, personal achievement, psychological benefits and social contact. There was one report of negative experiences. There is little quantitative evidence of positive or negative health and well-being benefits from participating in EECA. However, the qualitative research showed high levels of perceived benefit among participants. Quantitative evidence resulted from study designs with high risk of bias, qualitative evidence lacked reporting detail. The majority of included studies were programme evaluations, conducted internally or funded by the provider.The conceptual framework illustrates the range of interlinked mechanisms through which people believe they potentially achieve health and well-being benefits, such as opportunities for social contact. It also considers potential moderators and mediators of effect.One main finding of the review is the inherent difficulty associated with generating robust evidence of effectiveness for complex interventions. We developed the conceptual framework to illustrate how people believed they benefited. Investigating such mechanisms in a subsequent theory-led review might be one way of examining evidence of effect for these activities.The conceptual framework needs further refinement through linked reviews and more reliable evidence. Future research should use more robust study designs and report key intervention and participant detail.

Twitter Demographics

The data shown below were collected from the profiles of 67 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 141 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Japan 1 <1%
United States 1 <1%
Unknown 138 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 38 27%
Student > Ph. D. Student 22 16%
Researcher 18 13%
Student > Doctoral Student 17 12%
Unspecified 13 9%
Other 33 23%
Readers by discipline Count As %
Medicine and Dentistry 31 22%
Psychology 22 16%
Nursing and Health Professions 18 13%
Unspecified 15 11%
Social Sciences 15 11%
Other 40 28%

Attention Score in Context

This research output has an Altmetric Attention Score of 60. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 20 July 2018.
All research outputs
of 11,527,778 outputs
Outputs from Cochrane database of systematic reviews
of 9,147 outputs
Outputs of similar age
of 276,854 outputs
Outputs of similar age from Cochrane database of systematic reviews
of 183 outputs
Altmetric has tracked 11,527,778 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,147 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.0. This one has done particularly well, scoring higher than 92% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 276,854 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 183 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.