Happiness and well-being science has developed from a contested topic into a rigorous interdisciplinary field with growing relevance for policy and individual lives. Drawing on reflections from several of the field’s most prominent pioneers, this Perspective considers how the field’s early history, together with its founders’ lived experiences and insights, can illuminate its most prominent findings. Across the discussion, having basic needs met, relationships, meaningful work, and living in ways that align with one’s values and circumstances emerged as central themes. Looking ahead, the pioneers emphasized the need to address declining youth well-being and inequalities in well-being, while expressing optimism about the field’s potential to have a greater impact on societies and individuals’ lives.

Retirement brings changes in daily life, which may have implications for life satisfaction and leisure-time physical activity (LTPA). This study sought to examine associations between concurrent changes in life satisfaction and LTPA across retirement, addressing gaps in understanding how life satisfaction influences physical activity in retirees. Study included 3535 public sector workers (83% women) from the Finnish Retirement and Aging study with annual surveys before and after retirement. Participants were categorized based on their Life Satisfaction Scale responses before and after retirement into Stable Low, Low-Increasing, Intermediate-Decreasing, Stable Intermediate, Intermediate-Increasing, High-Decreasing, and Stable High life satisfaction. Self-reported weekly LTPA during past 12 months was summarized as metabolic equivalent hours (METh/week). Generalized estimating equations were used to examine changes in LTPA across retirement transition among these groups, adjusting for sociodemographic and health-related factors. Compared to Stable Low, Low-Increasing life satisfaction was associated with increasing LTPA (mean difference 4.16 METh/week, 95%CI 0.85 to7.47). Compared to Stable Intermediate, Intermediate-Increasing life satisfaction was associated with increasing LTPA (mean difference 1.96 METh/week, 95%CI 0.03 to 3.88), while Intermediate-Decreasing life satisfaction was linked to decreasing LTPA (mean difference −3 .79 METh/week, 95%CI −7.62 to 0.04). No differences were observed between Stable High and High-Decreasing life satisfaction. Changes in life satisfaction during retirement transition are associated with changes in LTPA, especially among those with low or intermediate life satisfaction before retirement. Further research is needed to assess, whether supporting life satisfaction in retirees could foster greater engagement in LTPA.

Patients' expectations are a major contributor to the unnecessary prescribing of antibiotics, yet limited research has examined how physicians can calibrate these expectations. The studies we conducted tested how varying messages could impact patients' expectations for antibiotics and their experience of medical appointments. All the participants read a short scenario about an appointment for mild sinusitis symptoms, with the patient's expectation of antibiotics. In Study 1, the participants (n = 1069) were randomly assigned to read a positively framed, neutral, or negatively framed message regarding unnecessary antibiotics. In Study 2, the participants (n = 1073) read a message emphasizing either the societal or personal harms of unnecessary antibiotics, or a message without additional rationale. None of our pre-registered hypotheses were supported, but our exploratory analyses indicated that the societal message increased concern about antibiotic resistance. The participants who were more concerned about resistance were less likely to ask for antibiotics, more satisfied when the physician did not prescribe them, and more likely to recommend the physician to a friend. Discussing the consequences of the different courses of action did not appear to negatively impact physician-patient rapport. These studies demonstrate an inexpensive method with which to pre-test various messages about antibiotic consumption, and suggest that such messages are not negatively received by patients.

BACKGROUND:Previous research has shown that the Swedish speaking minority in Finland has slightly but significantly better health compared with the Finnish speaking majority. However, a clear explanation for this is lacking. AIM:The aim of the study was to explore differences of perceived health comparing three groups: Swedish speakers with reported dominance of Swedish also in the preceding generation; contemporary Finnish speakers with reported dominance of Finnish in the preceding generation and a group with a reported mixed-language structure of Finnish and Swedish between generations. INDIVIDUALS AND METHODS:Health and Social Support is an on-going population-based survey initiated in 1998 (N = 64,797), aimed at working-age adults. The present study is based on the 2012 follow-up survey, which included a question on the dominating language (Swedish or Finnish) of the respondents and their parents. The outcome was perceived health, which in this study was dichotomized to very good/good and intermediate/poor/very poor. The statistical analysis was carried with logistic regression, using SAS software. Age, gender and occupational training were included as covariates in the multivariable analysis. RESULTS:This study found that the Swedish-speaking group in Finland report better perceived health compared with the Finnish-speaking group (odds ratio 1.28, 95% confidence interval 1.04-1.57, p < 0.001). The health of the mixed language-speaking group fell between the other two groups. CONCLUSIONS:The results gave some support to a culturally mediated mechanism for the health advantage of Swedish speakers. Cultural features of Swedish-speaking groups in Finland may also support health promotion of the Finnish-speaking majority.

This study examines the emotional consequences of spending choices in everyday life across a diverse multinational sample. Based on a dataset of 200 participants across 7 countries who received $10,000 USD, we analyzed how happy they felt from different types of purchases made with that money. Participants derived high levels of happiness from some types of purchases that have been examined in past research (e.g., buying experiences), but also from other purchases (e.g., education) that have not been the focus of previous work. We found some evidence that the emotional benefits of spending choices varied depending on whether participants lived in higher vs. lower-income countries; specifically, we found differences in the benefits of spending on gifts, housing, debt, and time-saving services. Around the world, people who spent money in ways that made them happy experienced greater improvements in overall subjective well-being 3 and 6 months later.

Background Dentists in the United States and Canada have higher rates of prescribing broad-spectrum spectrum antibiotics than dentists in some other Western countries. The authors provide an overview of dental antibiotic prescribing trends from British Columbia, Canada. Methods The data include all prescriptions filed from pharmacies in British Columbia from 1996 through 2023. Dental antibiotic prescribing trends were explored visually and stratified according to patient-related characteristics, type of health service area, type of antibiotic, duration of therapy, and dentist’s experience. Interrupted time series regression analysis was conducted to investigate the impact of the COVID-19 pandemic on dental antibiotic prescribing. Results Dentistry accounted for an increasing proportion of overall antibiotic consumption in British Columbia. Dental prescriptions increased to a peak rate during the COVID-19 pandemic and remained elevated into 2023. The median duration of prescription converged toward a 7-day supply during the study period. Conclusions The authors documented how a decreasing trend in dental antibiotic prescribing prepandemic has been interrupted by means of continuously high rates after that event. Practical Implications Renewed efforts to ensure appropriateness of dental antibiotic prescribing are needed.

BACKGROUND:Stimulating activities are associated with a decreased risk of dementia. However, the extent to which this reflects a protective effect of activity or non-participation resulting from dementia is debated. We investigated the association of stimulating leisure-time activity in late adulthood with the risk of dementia across up to two decades' follow-up. METHODS:We used data from five prospective cohort studies from Finland and Sweden. Mental, social, outdoor, consumptive and physical leisure-time activities were self-reported. Incident dementia was ascertained from clinical diagnoses or healthcare and death registers. Cox regression was used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs). RESULTS:Of the 33 263 dementia-free individuals aged ≥50 years at baseline, 1408 had dementia during a mean follow-up of 7.0 years. Active participation in mental (HR: 0.52, 95% CI: 0.41 to 0.65), social (HR: 0.56 95% CI: 0.46 to 0.72), outdoor (HR: 0.70, 95% CI: 0.58 to 0.85), consumptive (HR: 0.67, 95% CI: 0.53 to 0.94) and physical (HR: 0.62, 95% CI: 0.51 to 0.75) activity, as well as variety (HR: 0.54, 95% CI: 0.43 to 0.68) and the overall frequency of activity (HR: 0.41, 95% CI: 0.34 to 0.49) were associated with a reduced risk of dementia in <10 years' follow-up. In ≥10 years' follow-up all associations attenuated toward the null. CONCLUSION:Stimulating leisure-time activities are associated with a reduced risk of dementia in short-term but not long-term follow-up. These findings may reflect a reduction in leisure-time activity following preclinical dementia or dilution of the association over time.

Background Previous follow-up studies have demonstrated the association between good health behavior and good sexual functioning for men, but the longitudinal relationship between multiple health behaviors and satisfaction with sex life remains understudied.Aim The aim of the study was to explore whether good health behavior associates with improved satisfaction with sex life for men and women in a follow-up of 9 years.Methods This cohort study utilized survey data from the population-based Health and Social Support study. It includes responses from 10 671 working-aged Finns. Using linear regression models, we examined a composite sum score representing 4 health behaviors (range, 0-4) in 2003 as a predictor of satisfaction with sex life in 2012. The analyses adjusted for various covariates in 2003, including satisfaction with sex life, living status, age, gender, education, number of diseases, and importance of sex life in 2012.Outcomes The outcome in the study was satisfaction with sex life in the year 2012.Results Participants who exhibited better health behavior at baseline demonstrated improved satisfaction with sex life when compared with those with poorer health behavior (beta = -0.046, P = .009), even when controlling for the aforementioned covariates. The positive effect of reporting all beneficial health behaviors vs none of them was greater than having none vs 3 chronic conditions. Furthermore, this was almost half the effect of how satisfaction with sex life in 2003 predicted its level in 2012. These findings were supported by an analysis of the congruence of health behavior in the observation period from 2003 to 2012 predicting changes in satisfaction with sex life.Clinical Implications The results could serve as a motivator for a healthy lifestyle.Strengths and Limitations The current study used a longitudinal large sample and a consistent survey procedure, and it explored the personal experience of satisfaction instead of sexual function. However, the study is limited in representing today's diversity of gender, since the options for gender at the time of survey were only male and female.Conclusion These findings indicate that engaging in healthy behaviors contributes to the maintenance and enhancement of satisfaction with sex life over time.

BackgroundThis study follows published associations in BC to 2014 (updated in 2019) to model the predicted incidence of asthma in BC children attributable to antibiotic use within the context of reduced antibiotic use and increased breastfeeding in BC infants from 2000 to 2019.MethodsA population-based ecological study was conducted in BC from 2000 to 2019, using outpatient antibiotic prescription data from BC PharmaNet and asthma diagnoses from the Chronic Disease Registry. Breastfeeding estimates were calculated using the Canadian Community Health Survey (CCHS). Population attributable risk (PAR) was calculated using a blended relative risk (RR) of asthma in antibiotic-exposed children who were and were not breastfed. PAR was used to calculate predicted vs. actual asthma incidence in 2019. Negative binomial regression was used to estimate the association between the average antibiotic prescription rate in infants under 1 and asthma incidence in 1–4 year olds, stratified by periods between 2000–2014 and 2015–2019.ResultsIn BC, antibiotic prescribing decreased by 77% in infants under 1 and asthma incidence decreased by 41% in children 1–4 years from 2000 to 2019. BC breastfeeding rates increased from 46% in the 2005 CCHS to 71% in the 2017/18 CCHS. After calculating the PAR using a blended RR, the predicted asthma incidence in 2019 was 18.8/1,000 population. This was comparable to the observed asthma incidence in children 1–4 years of 16.6/1,000 population in 2019. During 2000–2014, adjusted incidence risk ratio (aIRR) for children under Quintile 5 of average antibiotic prescribing was 1.75 (95% CI: 1.63–1.88, P < 0.0001) times higher than that for Quintile 1. However, between 2015 and 2019, this association weakened (as expected because of increasing prevalence of breastfeeding), with the expected asthma incidence for Quintile 5 only 11% (aIRR 1.11, 95% CI: 0.78–1.57) higher than for Quintile 1.ConclusionWe identified that over the past 20 years, antibiotic exposure in infants under 1 and asthma incidence in children 1–4 years has decreased significantly. Decreasing antibiotic exposure and increasing breastfeeding (which further mitigates risk associated with antibiotics) are of sufficient scale to explain much of this population trend. Changes in environmental, social and other exposures remain relevant to this complicated etiological pathway.

Previous research suggests that the characteristics of both patients and physicians can contribute to the overuse of antibiotics. Until now, patients' psychosocial characteristics have not been widely explored as a potential contributor to the overuse of antibiotics. In this study, the relationship between a patient's psychosocial characteristics (self-reported in postal surveys in 2003) and the number of antibiotics they were prescribed (recorded in Finnish national registry data between 2004-2006) were analyzed for 19,300 working-aged Finns. Psychosocial characteristics included life satisfaction, a sense of coherence, perceived stress, hostility, and optimism. In a structural equation model, patients' adverse psychosocial characteristics were not related to increased antibiotic prescriptions in the subsequent three years. However, these characteristics were strongly associated with poor general health status, which in turn was associated with an increased number of subsequent antibiotic prescriptions. Furthermore, mediation analysis showed that individuals who used healthcare services more frequently also received more antibiotic prescriptions. The current study does not support the view that patients' adverse psychosocial characteristics are related to an increased number of antibiotic prescriptions. This could encourage physicians to actively discuss treatment options with their patients.

Background Previous research on health behavior and subjective well-being has mainly focused on interindividual differences or explored certain domains of health behavior. Good health behavior and subjective well-being at baseline can predict each other after a follow-up. In the present cohort study, we explored the outcomes of change for an individual i.e., how changed health behavior is reflected in subsequent subjective well-being and vice versa. Methods Data (n = 10,855) originates from a population-based Health and Social Support (HeSSup) study on working-age Finns in 2003 and 2012. A composite measure of health behavior included physical activity, dietary habits, alcohol consumption, and smoking status (range 0–4, worst–best) and a composite measure of subjective well-being (with reversed scoring) included three life assessments, i.e., interest, happiness, and ease in life, and perceived loneliness (range 4–20, best–worst). Different multiple linear regression models were used to study how changes in health behavior predict subjective well-being and the opposite, how changes in subjective well-being predict health behavior. Results A positive change in health behavior from 2003 to 2012 predicted better subjective well-being (i.e., on average 0.31 points lower subjective well-being sum score), whereas a negative change predicted poorer subjective well-being (i.e., 0.37 points higher subjective well-being sum score) (both: p < 0.001) compared to those study subjects who had no change in health behavior. Similarly, when a positive and negative change in subjective well-being was studied, these figures were 0.071 points better and 0.072 points worse (both: p < 0.001) health behavior sum score, respectively. When the magnitude of the effect of change was compared to the range of scale of the outcome the effect of health behavior change appeared stronger than that of subjective well-being. Conclusion Changes in health behavior and subjective well-being have long-term effects on the level of the other, the effect of the first being slightly stronger than vice versa. These mutual long-term benefits can be used as a motivator in health promotion on individual and societal levels.

Background The bidirectional relationship between health behavior and subjective well-being has previously been studied sparsely, and mainly for individual health behaviors and regression models. In the present study, we deepen this knowledge focusing on the four principal health behaviors and using structural equation modeling with selected covariates. Methods The follow-up data (n = 11,804) was derived from a population-based random sample of working-age Finns from two waves (2003 and 2012) of the Health and Social Support (HeSSup) postal survey. Structural equation modeling was used to study the cross-sectional, cross-lagged, and longitudinal relationships between the four principal health behaviors and subjective well-being at baseline and after the nine-year follow-up adjusted for age, gender, education, and self-reported diseases. The included health behaviors were physical activity, dietary habits, alcohol consumption, and smoking status. Subjective well-being was measured through four items comprising happiness, interest, and ease in life, and perceived loneliness. Results Bidirectionally, only health behavior in 2003 predicted subjective well-being in 2012, whereas subjective well-being in 2003 did not predict health behavior in 2012. In addition, the cross-sectional interactions in 2003 and in 2012 between health behavior and subjective well-being were statistically significant. The baseline levels predicted their respective follow-up levels, the effect being stronger in health behavior than in subjective well-being. Conclusion The four principal health behaviors together predict subsequent subjective well-being after an extensive follow-up. Although not particularly strong, the results could still be used for motivation for health behavior change, because of the beneficial effects of health behavior on subjective well-being.

The cross-sectional association between measures of subjective well-being (SWB) and various health behaviors is well-established. In this 9-year (2003-2012) follow-up study, we explored how a composite indicator of SWB (range 4-20) with four items (interest, happiness, and ease in life, as well as perceived loneliness) predicts a composite health behavior measure (range 0-4) including dietary habits, physical activity, alcohol consumption, and smoking status. Study subjects (n = 10,855) originated from a population-based random sample of working-age Finns in the Health and Social Support study (HeSSup). According to linear regression analysis, better SWB predicted better health behavior sum score with a β = 0.019 (p < 0.001) with a maximum effect of 0.3 points after adjusting for age (p = 0.038), gender (p < 0.001), education (p = 0.55), baseline self-reported diseases (p = 0.020), baseline health behavior (β = 0.49, p < 0.001), and the interaction between SWB and education (p < 0.001). The results suggest that SWB has long-term positive effect on health behavior. Thus, interventions aiming at health behavioral changes could benefit from taking into account SWB and its improvement in the intervention.