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1.
Health Promot Int ; 30 Suppl 1: i118-i125, 2015 Jun.
Article in English | MEDLINE | ID: mdl-26069313

ABSTRACT

In this article we reflect on the quality of a realist synthesis paradigm applied to the evaluation of Phase V of the WHO European Healthy Cities Network. The programmatic application of this approach has led to very high response rates and a wealth of important data. All articles in this Supplement report that cities in the network move from small-scale, time-limited projects predominantly focused on health lifestyles to the significant inclusion of policies and programmes on systems and values for good health governance. The evaluation team felt that, due to time and resource limitations, it was unable to fully exploit the potential of realist synthesis. In particular, the synthetic integration of different strategic foci of Phase V designation areas did not come to full fruition. We recommend better and more sustained integration of realist synthesis in the practice of Healthy Cities in future Phases.


Subject(s)
Community Networks , Health Policy , Health Promotion , Public Health Practice , Urban Health , Cities , Community Networks/organization & administration , Europe , Health Promotion/methods , Health Promotion/organization & administration , Humans , International Cooperation , Interprofessional Relations , Program Evaluation , World Health Organization
2.
Health Promot Int ; 30 Suppl 1: i86-i98, 2015 Jun.
Article in English | MEDLINE | ID: mdl-26069321

ABSTRACT

There is a substantial and growing burden of premature mortality caused by non-communicable diseases (NCDs) globally. This paper evaluates the preventive efforts of the WHO European Healthy Cities Network during its fifth phase (2009-13), specifically for four behavioural risk factors (tobacco use, alcohol abuse, unhealthy diet and physical inactivity). Drawing on case studies, questionnaire responses and other materials, it notes which cities were involved, what worked and did not, the triggers for action, challenges met and lessons learnt. Few cities appeared to have taken comprehensive approaches to NCD prevention across multiple risk factors, or have combined population- and individual-level interventions. Work on healthy food and diet predominantly focused on children in educational or care settings, and few cities appeared to take a comprehensive approach to tackling obesity. Partnerships were a strong feature for all the NCD risk factor work, and were frequently extensive, being most diverse for the Healthy Diet and Food work. There were strong examples of engagement with communities, also involved in co-designing and shaping projects. Equity also featured strongly and there were multiple examples of how attention had been paid to the social determinants of health. There was evidence that cities continue to be significant innovative forces within their countries and drivers of change, and the mutual dependency of the national and local levels was highlighted. Interventions to promote physical activity have shifted focus from specific events and projects to being more integrated with other policy areas and based on intersectoral collaboration.


Subject(s)
Chronic Disease/prevention & control , Health Behavior , Health Promotion , Public Health Practice , Risk Reduction Behavior , Urban Health , Alcoholism , Cities , Diet , Europe/epidemiology , Health Promotion/methods , Health Promotion/organization & administration , Humans , Mortality , Organizational Case Studies , Program Evaluation , Risk Factors , Sedentary Behavior , Smoking Prevention , Surveys and Questionnaires , World Health Organization
3.
J Urban Health ; 90 Suppl 1: 142-53, 2013 Oct.
Article in English | MEDLINE | ID: mdl-22700323

ABSTRACT

Local governments in Europe have a vital role in promoting physical activity in the daily life of citizens. However, explicit investment in active living has been limited. One of the four core themes for Phase IV (2003-2008) of the World Health Organization (WHO) European Healthy Cities Network (WHO-EHCN) was to encourage local governments and their partners to implement programs in favor of active living. This study analyzes the performance of network cities during this period. Responses to a general evaluation questionnaire are analyzed by content according to a checklist, and categorized into themes and dimensions. Most cities viewed "active living" as an important issue for urban planning; to improve visual appeal, enhance social cohesion, create a more sustainable transport system to promote walkability and cyclability and to reduce inequalities in public health. Almost all member cities reported on existing policies that support the promotion of active living. However, only eight (of the 59) responding cities mentioned an integrated framework specific for active living. Many efforts to promote active living are nested in programs to prevent obesity among adults or children. Future challenges include establishing integrated policies specifically for active living, introducing a larger range of actions, as well as increasing funding and capacity to make a difference at the population level.


Subject(s)
City Planning/standards , Environment Design , Health Promotion/organization & administration , Motor Activity/physiology , Urban Health , Adult , Aged , Bicycling/physiology , Child , Cities , City Planning/methods , City Planning/organization & administration , Community Networks , Europe , Health Promotion/methods , Health Promotion/standards , Heart Diseases/prevention & control , Humans , Obesity/prevention & control , Program Evaluation , Social Environment , Surveys and Questionnaires , Transportation/methods , Walking/physiology , World Health Organization
4.
Scand J Prim Health Care ; 29(4): 234-40, 2011 Dec.
Article in English | MEDLINE | ID: mdl-22126223

ABSTRACT

OBJECTIVE: To analyse patients' self-reported reasons for not adhering to physical activity referrals (PARs). DESIGN AND SETTING: Data on 1358 patients who did not adhere to PARs were collected at 38 primary health care (PHC) centres in Sweden. INTERVENTION: PHC providers issued formal physical activity prescriptions for home-based activities or referrals for facility-based activities. SUBJECTS: Ordinary PHC patients whom regular staff believed would benefit from increased physical activity. MAIN OUTCOME MEASURE: Reasons for non-adherence to PARs: "sickness", "pain", "low motivation", "no time", "economic factors", and "other". RESULTS: Sickness and pain were the most common motives for non-adherence among older patients. The youngest patients blamed economic factors and lack of time more frequently than those in the oldest age group. Economic factors was a more common reason for non-adherence among those referred for facility-based activities compared with those prescribed home-based activities. Low motivation was a more frequent cause of non-adherence among those prescribed home-based activities compared with those referred for facility-based activities. Furthermore, lack of time was a more common reason for non-adherence among patients issued with PARs due to high blood pressure than other patients, while low motivation was a more common reason among patients issued with PARs because of a BMI of > 25. CONCLUSION: The reasons for non-adherence differ between patients prescribed home-based activities and referred for facility-based activities, as well as between patients with different specific characteristics. The information obtained may be valuable not only for the professionals working in PHC, but also for those who work to develop PARs for use in different contexts.


Subject(s)
Exercise Therapy , Motor Activity , Patient Compliance , Adult , Aged , Exercise Therapy/economics , Exercise Therapy/psychology , Female , Follow-Up Studies , Health Promotion , Humans , Life Style , Male , Middle Aged , Motivation , Prescriptions , Primary Prevention , Prospective Studies , Self Report
5.
BMC Public Health ; 9: 304, 2009 Aug 22.
Article in English | MEDLINE | ID: mdl-19698119

ABSTRACT

BACKGROUND: Despite a strong social gradient in the prevalence of obesity, there is little scientific understanding of obesity in people settled in deprived neighbourhoods. Few studies are actually based on objectively measured data using random sampling of residents in deprived neighbourhoods. In addition, most studies use a crude measure, the body mass index, to estimate obesity. This is of concern because it may cause inaccurate estimations of the true prevalence and give the wrong picture of the factors associated with obesity. The aim of this study was to estimate the prevalence of, and analyse the sociodemographic factors associated with, three indices of obesity in different ethnic groups settled in two deprived neighbourhoods in Sweden. METHODS: Height and weight, waist circumference and body fat percentage were objectively measured in a random sample (n = 289). Sociodemographic data were obtained through a survey. Established cut-offs were used to determine obesity. Country of birth was categorized as Swedish, Other European, and Middle Eastern. Odds ratios were estimated by unconditional logistic regression. RESULTS: One third of the sample was classified as obese overall, with 39.0% of women being abdominally obese. After adjusting for age, we found higher odds of obesity in Middle Eastern women than in Swedish women regardless of outcome with odds ratios ranging between 2.74 and 5.53. Men of other European origin had higher odds of BMI obesity than Swedish men. Most associations between country of birth and obesity remained in the full model. CONCLUSION: This study demonstrates the magnitude of the obesity problem and the need for prevention programmes targeting native and immigrant adults in deprived neighbourhoods in Sweden. The initiatives should also focus on particular groups, e.g. immigrant women and those experiencing economic difficulties. Further studies are needed on behavioural and environmental factors influencing the risk of obesity in residents settled in deprived neighbourhoods.


Subject(s)
Emigration and Immigration , Obesity/epidemiology , Abdominal Fat , Adult , Body Mass Index , Female , Humans , Male , Middle Aged , Obesity/ethnology , Prevalence , Risk Factors
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