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This paper examines the links between place attachment and older persons' preferences to age in place, and factors that disrupt these preferences. We use data from the 2001–2021 Household, Income and Labour Dynamics in Australia Survey and panel-data modelling to confirm strong associations between several place attachment dimensions and aging-in-place preferences. Strong ties to children, strong social capital, residence in social housing, homeownership status, housing wealth, and home and neighborhood satisfaction are all positively linked to a stronger preference to age in place. Our findings reveal important differences between older homeowners and older non-owners. For owners, closeness to children is a strong predictor of aging-in-place preferences, although mortgage debt can trigger involuntary moves. For non-owners, tenure security achieved through longer durations at one's address of residence is linked to stronger aging-in-place preferences. However, private renters are more often exposed to involuntary moves. We discuss the policy implications of these disruptions. [ABSTRACT FROM AUTHOR]

Background: Behavioral theories are often used to better understand and change health-promoting behaviors and develop evidencebased interventions. However, researchers often lack of knowledge on how to use these theories in palliative care and people confronted with serious illness. Clear examples or guidelines are needed. Aim: To describe how behavioral theories can be used to gain insight into critical factors of health-promoting behavior in seriously ill people, using a case example of “starting a conversation about palliative care with the physician” for people with incurable cancer. Methods: We used a health promotion approach. Step 1: We chose a theory. Step 2: We applied and adapted the selected theory by performing interviews with the target population which resulted in a new behavioral model. Step 3: We operationalized the factors of this model. An expert group checked content validity. We tested the questionnaire cognitively. Step 4: We conducted a survey study and performed logistic regression analyses to identify the most important factors. Results: Step 1: We selected the Theory of Planned Behavior. Step 2: This theory was applicable to the target behavior, but needed extending. Step 3: The final survey included 131 items. Step 4: Attitudinal factors were the most important factors associated with the target behavior of starting a conversation about palliative care with the physician. Conclusions: This paper describes a method applied to a specific example, offering guidance for researchers and practitioners interested in understanding and changing a target behavior and its factors in seriously ill people. [ABSTRACT FROM AUTHOR]