In this study, we used the information generated by community members during an intervention design process to understand the features needed for a successful community participatory intervention to improve child health.

We conducted a concurrent mixed-methods study (November 2019–March 2020) to inform the design and evaluation of a community–facility linkage participatory intervention.

Kiyawa Local Government Area (Jigawa State, Nigeria)—population of 230 000 (n=425 villages).

Qualitative data included 12 community conversations with caregivers of children under-5 (men, older and younger women; n=9 per group), 3 focus group discussions (n=10) with ward development committee members and interviews with facility heads (n=3). Quantitative data comprised household surveys (n=3464) with compound heads (n=1803) and women (n=1661).

We analysed qualitative data with thematic network analysis and the surveys with linear regression—results were triangulated in the interpretation phase. Participants identified the following areas of focus: community health education; facility infrastructure, equipment and staff improvements; raising funds to make these changes. Community involvement, cooperation and empowerment were recognised as a strategy to improve child health, and the presence of intermediate bodies (development committees) was deemed important to improve communication and solve problems between community and facility members. The survey showed functional community relations’ dynamics, with high levels of internal cohesion (78%), efficacy in solving problems together (79%) and fairness of the local leaders (82%).

Combining the results from this study and critical theories on successful participation identified community-informed features for a contextually tailored community–facility link intervention. The need to promote a more inclusive approach to future child health interventions was highlighted. In addition to health education campaigns, the relationship between community and healthcare providers needs strengthening, and development committees were identified as an essential feature for successfully linking communities and facilities for child health.

ISRCTN39213655.

Whether the routine delivery of diabetes-related knowledge can change patients’ attitudes and hence influence their self-management activities remains unknown in primary healthcare settings in China. Thus, this study aims to explore the complex transformation process between knowledge, attitude and practice (KAP) among patients with diabetes in a city in China.

A cross-sectional study.

Yuhuan City, Zhejiang Province, China.

A total of 803 patients with diabetes were invited to attend a questionnaire survey and 782 patients with type 2 diabetes completed the survey. The average age of participants was 58.47 years old, 48.21% of whom only attended primary school or below.

A questionnaire based on existing scales and expert consultation was applied to assess patients’ socio-demographic information (SI), disease progression risk and diabetes-related KAP. A structural equation model was built to analyse the relationships between patients’ characteristics and KAP.

No significant association was found between patients’ knowledge and attitude (β=0.01, p=0.43). Better knowledge and attitude were both found to be associated with better diet and physical activities (β=0.58, p

While successful KAP transformation has been achieved in practice for diet and physical activities, there is a need to improve foot care practice. Health education should also prioritise the prevention, detection and care of diabetic foot. Also, appropriate methods should be adopted to deliver health education to vulnerable patients, such as the elderly, those living in rural areas, those with minimal education, the unemployed and low-income patients.

The aim of this study is to establish a self-simple-to-use nomogram to predict the risk of multimorbidity among middle-aged and older adults.

A retrospective cohort study.

We used data from the Chinese Longitudinal Healthy Longevity Survey, including 7735 samples.

Samples’ demographic characteristics, modifiable lifestyles and depression were collected. Cox proportional hazard models and nomogram model were used to estimate the risk factors of multimorbidity.

A total of 3576 (46.2%) participants have multimorbidity. The result showed that age, female (HR 0.80, 95% CI 0.72 to 0.89), chronic disease (HR 2.59, 95% CI 2.38 to 2.82), sleep time (HR 0.78, 95% CI 0.72 to 0.85), regular physical activity (HR 0.88, 95% CI 0.81 to 0.95), drinking (HR 1.27 95% CI 1.16 to 1.39), smoking (HR 1.40, 95% CI 1.26 to 1.53), body mass index (HR 1.04, 95% CI 1.03 to 1.05) and depression (HR 1.02, 95% CI 1.01 to 1.03) were associated with multimorbidity. The C-index of nomogram models for derivation and validation sets were 0.70 (95% CI 0.69 to 0.71, p=0.006) and 0.71 (95% CI 0.70 to 0.73, p=0.008), respectively.

We have crafted a user-friendly nomogram model for predicting multimorbidity risk among middle-aged and older adults. This model integrates readily available and routinely assessed risk factors, enabling the early identification of high-risk individuals and offering tailored preventive and intervention strategies.

Chronic obstructive pulmonary disease (COPD) is a disease associated with ageing. However, actual age does not accurately reflect the degree of biological ageing. Phenotypic age (PhenoAge) is a new indicator of biological ageing, and phenotypic age minus actual age is known as phenotypic age acceleration (PhenoAgeAccel). This research aimed to analyse the relationship between PhenoAgeAccel and lung function and COPD.

A cross-sectional study.

Data for the study were obtained from the National Health and Nutrition Examination Survey (NHANES) 2007–2010. We defined people with forced expiratory volume in 1 s/forced vital capacity

Linear and logistic regression were used to investigate the relationship between PhenoAgeAccel, lung function and COPD. Subgroup analysis was performed by gender, age, ethnicity and smoking index COPD. In addition, we analysed the relationship between the smoking index, respiratory symptoms and PhenoAgeAccel. Multiple models were used to reduce confounding bias.

5397 participants were included in our study, of which 1042 had COPD. Compared with PhenoAgeAccel Quartile1, Quartile 4 had a 52% higher probability of COPD; elevated PhenoAgeAccel was also significantly associated with reduced lung function. Further subgroup analysis showed that high levels of PhenoAgeAccel had a more significant effect on lung function in COPD, older adults and whites (P for interaction

Our study found that accelerated ageing is associated with the development of COPD and impaired lung function. Smoking cessation and anti-ageing therapy have potential significance in COPD.