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Health behaviour is crucial for influencing health, making it a key component in health promotion. However, changing behaviours is complex, as many factors interact to determine health behaviours. Information, awareness, and knowledge are important but not enough. It is essential to move beyond focusing solely on individual psychological and cognitive factors to an understanding of the complex processes involved in health behaviour change. Social-ecological models account for these complex processes but risk being overly broad and all-encompassing.

This qualitative grounded theory study explores how individual, interpersonal, and environmental factors interplay to influence health behaviour, and examines how social-ecological models in health promotion can be tailored to address different ecological needs. Participants were recruited from a community-based cardiovascular disease-prevention program in Northern Sweden. Data was collected through in-depth interviews about health and health behaviours throughout the life course among middle-aged men and women.

The results illustrate how factors obstructing or enabling health behaviours vary in patterned ways for individuals with different health identities. Social-ecological interventions could be more effective if adapted to the specific needs of people with different health identities. In addition to screening for various risk factors, screening for health identities could be helpful in designing social-ecological health-promoting interventions.

INTRODUCTION: Understanding smokers' purchasing patterns can aid in customizing tobacco control initiatives aimed at reducing the tobacco smoking prevalence. Therefore, this study identified cigarette purchase behavior among Vietnamese male smokers and associated demographic and consumption factors.

METHODS: We analyzed a secondary dataset of male current tobacco smokers (n=3983) who participated in the Vietnam Global Adult Tobacco Survey in 2015. We applied the latent class analysis (LCA) to identify the classes of purchase behavior among cigarette smokers (n=1241). Multinomial logistic regression was performed to identify demographics (education level, ethnicity, partnership status, and household socioeconomic status) and cigarette consumption variables (smoking years and heavy smoking status) related to purchase behavior classes. The results are reported as an adjusted relative risk ratio (ARRR).

RESULTS: The LCA identified four cigarette purchase behaviors classes: Class 1 (priceinsensitive and purchased international brand: 44.4%), Class 2 (price -sensitive and purchased domestic brand: 27.6%), Class 3 (price -sensitive and purchased cigarettes in a street vendor: 18.6%), and Class 4: price -sensitive and purchased loose/carton cigarette: 9.4%). The poorer economic groups were more likely to belong to the three price -sensitive classes. Heavy smokers and those who had smoked for a longer period were more likely to belong to Class 3 (ARRR=2.33; 95% CI: 1.51-3.58 and ARRR=1.02; 95% CI: 1.001-1.05, respectively) and Class 4 (ARRR=2.94; 95% CI: 1.71-5.06 and ARRR=1.05; 95% CI: 1.02-1.08, respectively).

CONCLUSIONS: Varied purchasing behaviors among male cigarette smokers, influenced by divergent price sensitivities and economic backgrounds, underscore the need for comprehensive tobacco control. Future efforts should include targeted policy interventions, behavior modification, and reshaping social norms.

Background: The COVID-19 control policies might negatively impact older adults’ participation in volunteer work, instrumental support provision, and the likelihood of receiving instrumental support. Studies that quantify changes in these activities and the related factors are limited. The current study aimed to examine the level of volunteering, instrumental support provision and receipt before and during the first phase of the COVID-19 pandemic in Europe and to determine whether older adults’ volunteering, instrumental support provision and receipt were associated with individual exposure to COVID-19 and the stringency of country’s COVID-19 control policy during the first phase of the COVID-19 pandemic.

Methods: A cross-sectional survey using data from the Survey of Health, Ageing and Retirement in Europe (SHARE) Corona Survey 1 was designed to focus on community-dwelling Europeans aged ≥50 years. History of participation in volunteering work and instrumental support provision or receipt was assessed from the previous SHARE Wave data. The country’s COVID-19 control policy stringency index (S-Index) was from the Oxford COVID-19 Government Response Tracker database. A total of 45,669 respondents from 26 European countries were included in the volunteering analysis. Seventeen European countries were included in the analyses of instrumental support provision (N = 36,518) and receipt (N = 36,526). The multilevel logistic regression model was fitted separately to analyse each activity.

Results: The level of volunteering and instrumental support provision was lower during the pandemic, but instrumental support receipt was higher. The country S-Index was positively associated with support provision (OR:1.13;95%CI:1.02–1.26) and negatively associated with support receipt (OR:0.69;95%CI:0.54–0.88). Exposure to COVID-19 was positively associated with support receipt (OR:1.64;95%CI:1.38–1.95). COVID-19 exposure on close ones positively associated with volunteering (OR:1.47;95%CI:1.32–1.65), support provision (OR:1.28;95%CI:1.19–1.39), and support receipt (OR:1.25;95%CI:1.15–1.35).

Conclusions: The COVID-19 pandemic impacted older Europeans’ volunteering, instrumental support provision, and instrumental support receipt from outside their household. When someone close to them was exposed to COVID-19, older Europeans were likely to receive instrumental support and to volunteer and provide instrumental support. A stricter country’s COVID-19 control policy might motivate older adults to provide instrumental support, but it prevents them from receiving instrumental support from outside their households. 

BACKGROUND: Chronic diseases, including cardiovascular diseases, diabetes, chronic obstructive pulmonary disease, and cerebrovascular diseases, contribute to the most significant disease burden worldwide, negatively impacting patients and their family members. People with chronic diseases have common modifiable behavioral risk factors, including smoking, alcohol overconsumption, and unhealthy diets. Digital-based interventions for promoting and sustaining behavioral changes have flourished in recent years, although evidence of the cost-effectiveness of such interventions remains inconclusive.

OBJECTIVE: In this study, we aimed to investigate the cost-effectiveness of digital health interventions for behavioral changes among people with chronic diseases.

METHODS: This systematic review evaluated published studies focused on the economic evaluation of digital tools for behavioral change among adults with chronic diseases. We followed the Population, Intervention, Comparator, and Outcomes framework to retrieve relevant publications from 4 databases: PubMed, CINAHL, Scopus, and Web of Science. We used the Joanna Briggs Institute's criteria for economic evaluation and randomized controlled trials to assess the risk of bias in the studies. Two researchers independently screened, assessed the quality, and extracted data from the studies selected for the review.

RESULTS: In total, 20 studies published between 2003 and 2021 fulfilled our inclusion criteria. All the studies were conducted in high-income countries. These studies used telephones, SMS text messaging, mobile health apps, and websites as digital tools for behavior change communication. Most digital tools for interventions focused on diet and nutrition (17/20, 85%) and physical activity (16/20, 80%), and a few focused on smoking and tobacco control (8/20, 40%), alcohol reduction (6/20, 30%), and reduction of salt intake (3/20, 15%). Most studies (17/20, 85%) used the health care payer perspective for economic analysis, and only 15% (3/20) used the societal perspective. Only 45% (9/20) of studies conducted a full economic evaluation. Most studies (7/20, 35%) based on full economic evaluation and 30% (6/20) of studies based on partial economic evaluation found digital health interventions to be cost-effective and cost-saving. Most studies had short follow-ups and failed to include proper indicators for economic evaluation, such as quality-adjusted life-years, disability-adjusted life-years, lack of discounting, and sensitivity analysis.

CONCLUSIONS: Digital health interventions for behavioral change among people with chronic diseases are cost-effective in high-income settings and can therefore be scaled up. Similar evidence from low- and middle-income countries based on properly designed studies for cost-effectiveness evaluation is urgently required. A full economic evaluation is needed to provide robust evidence for the cost-effectiveness of digital health interventions and their potential for scaling up in a wider population. Future studies should follow the National Institute for Health and Clinical Excellence recommendations to take a societal perspective, apply discounting, address parameter uncertainty, and apply a lifelong time horizon.

BACKGROUND: Nearly one-in-two Vietnamese men smoke cigarettes placing them among the highest tobacco consumers in the world. Despite the need for smoking cessation to curb the burden of tobacco-related diseases in Vietnam, this rate remains at less than 30%. Therefore, this study examines individual-, social- and policy factors associated with smoking cessation among adult male smokers in Vietnam.

METHODS: We established a longitudinal International Tobacco Control study of male smokers in Hanoi, Vietnam, in September 2018. This paper analyses 1525 men who participated in baseline and one-year follow-up. We applied a weighted multivariable logistic regression to examine the association between smoking cessation and individual-, social- and policy predictors.

RESULTS: At follow-up, 14.8% of participants had quit smoking for at least 30 consecutive days during the last year. Among the persistent smokers, 56.6% expressed intention to quit smoking. Factors associated with smoking cessation included a lower number of cigarettes smoked per day (aOR = 0.96, 95% CI: 0.94, 0.99) and having several attempts to quit smoking (aOR = 2.16, 95% CI 1.13, 4.12). Intention to quit smoking was associated with multiple quit attempts, a chronic condition diagnosis, more tobacco-related knowledge, greater self-efficacy, and more worries about their future health. The perceived impact of smoke-free policy and health warning labels were positively associated with intention to quit at any stage.

CONCLUSIONS: Interventions aimed at increasing smoking cessation should focus on all aspects of individual, social, and policy factors. Persistent smokers are more motivated to quit if they have made multiple quit attempts, more self-efficacy of quitting and worried about their future health, indicating that increasing smokers' beliefs and knowledge may be important for behavioural change. Health warning labels and tobacco taxation policies should be maintained and promoted as they are perceived to be particularly useful for persistent smokers' intention to quit.

Background: Socioeconomic position (SEP) strongly predicts late-life cognitive health, yet the pathways between SEP and cognitive function remain unclear. This study assessed whether and to what extent the association between SEP and cognitive function in the adult population in rural South Africa is mediated by some health conditions, behavioral factors, and social capital factors.

Methods: In this cross-sectional study, we used data from the 2014–15 “Health and Aging Africa: A Longitudinal Study of an INDEPTH Community in South Africa” (HAALSI) cohort, including 5,059 adults aged 40+ years from the Agincourt sub-district in Mpumalanga Province, South Africa. SEP, the independent variable, was measured based on ownership of household goods. Cognitive function, the dependent variable, was assessed using questions related to time orientation and immediate and delayed word recall. We used the multiple-mediation analysis on 4125 individuals with complete values on all variables to assess the mediating roles of health conditions (hypertension, diabetes, obesity, and disability), behavioral factors (leisure physical activity, alcohol consumption, and tobacco smoking), and social capital factors (community's willingness to help, trust, sense of safety, and social network contact) in the association between SEP and cognitive function.

Results: Compared to adults in the poorest wealth quintile, those in the richest wealth quintile had better cognition (β = 0.903, p < 0.001). The mediation analysis revealed that health conditions mediated 20.7% of the total effect of SEP on cognitive function. In comparison, 3.3% was mediated by behavioral factors and only 0.7% by social capital factors. In the multiple-mediator model, 17.9% of the effect of SEP on cognitive function was jointly mediated by health conditions, behavioral factors, and social capital factors.

Conclusion: Low socioeconomic position is a significant factor associated with poor cognitive function among adults aged 40 years and above in South Africa. Health conditions mainly mediate the effects between SEP and cognitive function. Therefore, actions to prevent and control chronic health conditions can serve as the entry point for intervention to prevent poor cognitive function among people with low socioeconomic status.

PURPOSE: Education and feedback on hypertension management has been associated with improved hypertension control. This study aimed to assess the effectiveness of such interventions to reduce the risk of stroke and cardiovascular events. MATERIALS AND METHODS: Individuals ≥18 years with a blood pressure (BP) recording in Västerbotten or Södermanland County during the study period 2001 to 2009 were included in 108 serial cohort studies, each with 24 months follow-up. The primary outcome was risk of first-ever stroke in Västerbotten County (intervention) compared with Södermanland County (control). Secondary outcomes were first-ever major adverse cardiovascular event (MACE), myocardial infarction, and heart failure, as well as all-cause and cardiovascular mortality. All outcomes were analysed using time-to-event data included in a Cox proportional hazards model adjusted for age, sex, hypertension, diabetes, coronary artery disease, atrial fibrillation, systolic BP at inclusion, marital status, and disposable income. RESULTS: A total of 121 365 individuals (mean [SD] age at inclusion 61.7 [16.3] years; 59.9% female; mean inclusion BP 142.3/82.6 mmHg) in the intervention county were compared to 131 924 individuals (63.6 [16.2] years; 61.2% female; 144.1/81.1 mmHg) in the control county. A first-ever stroke occurred in 2 823 (2.3%) individuals in the intervention county, and 3 584 (2.7%) individuals in the control county (adjusted hazard ratio 0.96, 95% CI 0.90 to 1.03). No differences were observed for MACE, myocardial infarction or heart failure, whereas all-cause mortality (HR 0.91, 95% CI 0.87 to 0.95) and cardiovascular mortality (HR 0.91, 95% CI 0.85 to 0.98) were lower in the intervention county. CONCLUSIONS: This study does not support an association between education and feedback on hypertension management to primary care physicians and the risk for stroke or cardiovascular outcomes. The observed differences for mortality outcomes should be interpreted with caution.

Background: Frailty is a syndrome commonly associated with old age. Social relationships are an essential determinant of frailty progression, and frailty can negatively affect social relationships.

Objectives: To identify social relationship types among older adults in Europe; to evaluate whether social relationship types differ across European regions; and to assess the association between frailty status and social relationship type.

Methods: We used data from 56,226 individuals from 17 European countries who participated in Wave 6 of the Survey of Health, Ageing and Retirement in Europe. We constructed social relationship types from social relationship variables (contacts frequency, perceived emotional support, participation in social activities, providing and receiving instrumental support) using latent class analysis (LCA). Associations between social relationship types and frailty were examined using multinomial regression analyses integrated with LCA.

Results: We identified four social relationship types: ‘poor’; ‘frequent and emotionally close’; ‘frequent, emotionally close, and supportive’; and ‘frequent, emotionally close, and active’. Type 3 is also characterised by participation in sport/social clubs (in the northern region) or receiving support (in the eastern region). Participation in volunteering/charity activities (in the central and northern regions) and instrumental support provision (in the northern region) are Type 4′s characteristics as well. In all regions, being frail was associated with less active social relationships (Types 1, 2, and 3) relative to the more ‘active’ type (Type 4).

Conclusion: Frailty status was associated with social relationship types. The identified types may help tailor intervention programmes for older adults to prevent worsening frailty.

Background: A series of studies have explored the health effects of long-term exposure to ambient PM_2.5 among older adults. However, few studies have investigated the adverse effect of long-term exposure to ambient PM_2.5 on frailty, and the results are inconclusive. This study sought to investigate the associations between long-term exposure to ambient PM_2.5 and frailty in 6 low- and middle-income countries.

Methods: We included an analytical sample of 34 138 individuals aged 50 and older from the Study on global AGEing and adult health Wave 1 (2007/2010). Air pollution estimates were generated using a standard methodology derived from Moderate Resolution Imaging Spectroradiometer observations and Multiangle Imaging Spectroradiometer instruments from the Terra satellite, along with simulations from the GEOS-Chem chemical transport model. A 3-level hierarchical logistic model was used to evaluate the association between frailty index and long-term PM_2.5 exposure at 3 levels (individual, province, and country).

Results: In rural areas, each 10 μg/m3 increase in ambient PM_2.5 was associated with a 30% increase in the odds of frailty (OR = 1.30, 95% CI: 1.21-1.39) after adjusting for various potential confounding factors. The gender-stratified analysis showed that the association seemed to be slightly stronger in men (OR = 1.31, 95% CI: 1.18-1.46) than in women (OR = 1.21, 95% CI: 1.07-1.36) in rural areas.

Conclusion: In a large sample of community-based older adults from 6 middle-income countries, we found evidence that long-term PM_2.5 exposure was associated with frailty in rural areas.

In many low- and middle-income countries (LMICs), the epidemiological transition is characterized by an increased burden of non-communicable diseases (NCDs) and the persistent challenge of infectious diseases. The transmission of tuberculosis, one of the leading infectious diseases, can be halted through active screening of risk groups and early case findings. Studies have reported comorbidities between tuberculosis (TB) and NCDs, which necessitates the development of an integrated disease management model. This scoping review discusses the possibilities and problems of integration in managing TB and NCDs, with a particular emphasis on diabetic mellitus (DM) and hypertension screening and control. We will conduct this review following Arksey and O’Malley’s framework for scoping review. We will use key terms related to integrated management, i.e., screening, diagnosis, treatment, and care, of TB, DM, and hypertension in PubMed, Scopus Database, and ScienceDirect for research published from January 2005 to July 2021. This review will also consider grey literature, including unpublished literature and international disease management guidelines on TB, DM, and hypertension from WHO or other health professional organization. We will export the search results to citation manager software (EndNote). We will remove duplicates and apply the inclusion and exclusion criteria to identify the set of papers for the review. After screening the titles and abstract, two authors will independently review the full text of selected studies and extract the data. We will synthesize all selected studies qualitatively and the results will be discussed with the experts. The results will be used as the basis of the development of a guideline for integrated TB, DM, and hypertension management.