Summary The family is an important contributor to the cultural conditions that support health. Current challenges in family health promotion interventions include programme design that is not always guided by theory and change mechanisms. Multifaceted programmes also make it hard to examine what works for whom, given different family roles and the range of lifestyle behaviour and mechanisms examined within diverse conceptual frameworks and cultures. We performed a scoping review on the heterogeneous literature to map and categorize the models and mechanisms by which a family may promote health behaviours among its members. We searched five electronic databases and grey literature up to 2020. Publications were included if they examined health-promoting behaviours, influences at the family level, and outlined the behavioural mechanisms involved. Two hundred and forty studies were identified. Ecological systems theory, social cognitive theory, family systems theory and the theory of planned behaviour were the frameworks most widely used in explaining either study context and/or mechanism. The most frequently studied family mechanisms involved aspects of family support, supervision and modelling, while some studies also included individual-level mechanisms. Majority of the studies investigated parental influence on the child, while few studies assessed the elderly family member as a recipient or actor of the influences. Studies on African, Asian and Middle Eastern populations were also in the minority, highlighting room for further research. Improving the understanding of context and behavioural mechanisms for family health promotion will aid the development of public health policy and chronic disease prevention programmes, complementing efforts targeted at individuals.

BackgroundThe Family Health Climate (FHC) is a family environment attribute postulated to influence the health behaviors of family members. It can be measured by domain scales for physical activity (FHC-PA) and nutrition (FHC-NU), which have been validated and used to identify health climate patterns in families in Western populations. To extend the use of the scales to Asian settings, this study aimed to adapt and validate the instruments for use in the multi-ethnic population of Singapore, accounting for language and cultural differences.MethodsIn Part A (n = 40) to adapt the scales for the Singapore population, we performed cognitive interviews, face validity testing and pre-testing of the instruments (n = 40). Besides English, the scales were translated into Chinese and Malay. In Part B (n = 400), we performed exploratory and confirmatory factor analyses respectively on two random samples. We also tested for item discriminant validity, internal consistency reliability, construct validity, and measurement invariance.ResultsThe findings from the cognitive interviews in Part A led to scale adaptations to accommodate cultural and linguistic factors. In Part B, EFA on Sample I resulted in a three-factor model for the PA scale (accounting for 71.2% variance) and a four-factor model for the NU scale (accounting for 72.8% variance). CFA on Sample II indicated acceptable model fits: FHC-PA: χ2 = 192.29, df = 101, p < 0.001, χ2/df = 1.90; SRMR = 0.049; RMSEA = 0.067; CFI = 0.969; TLI = 0.963; FHC-NU: χ2 = 170.46, df = 98, p < 0.001, χ2/df = 1.74; SRMR = 0.036; RMSEA = 0.061; CFI = 0.967; TLI = 0.960. The scores of family members demonstrated significant agreement on the FHC-PA (Sg) [ICC(2, 2) = 0.77] and FHC-NU (Sg) [ICC(2, 2) = 0.75] scales. Findings suggest good evidence for item discriminant validity, internal consistency reliability, construct validity, and measurement invariance. Short versions of the scales were also developed.ConclusionWe adapted, translated and validated the scales for assessing the health climate of families in Singapore, including the development of short versions. The results showed good psychometric properties and the constructs had significant relationships with health behaviors and routines. Improving our understanding of family influences on individual health behavior will be important in developing multi-level strategies for health promotion and chronic disease prevention.