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Retirement is a major life transition affecting health and health behaviour, but evidence on how this transition contributes to changes in healthy food habits is scarce. We examined whether the consumption of fruit and vegetables as well as fish changes after transition into statutory retirement. The data were derived from the prospective Helsinki Health Study. At phase 1 in 2000–2002, all participants were 40- to 60-year-old employees of the City of Helsinki, Finland (n 8960, response rate 67 %). Follow-up surveys were conducted in 2007, 2012 and 2017 (response rates 79–83 %). Using the four phases, we formed three nested cohorts in which the participants either continued working or moved to statutory retirement. The final analytical sample consisted of 6887 participants (14 357 observations). Frequency of fruit, vegetable and fish consumption was calculated from a twenty-two-item FFQ. Analyses of repeated measures of food consumption before and after retirement transition were conducted with a negative binomial mixed model, adjusting for age, marital status, limiting long-standing illness and household income. During the follow-up, altogether 3526 participants retired. Transition to retirement was associated with a decrease in vegetable consumption among women and, contrarily, with an increase in fruit consumption among men (P < 0·05 for interaction between time and employment status). Fish consumption did not differ by the change in employment status. Statutory retirement can have mixed effects on healthy food habits, and these can differ between food groups and sex. Healthy food habits should be promoted among employees transitioning to retirement.

BackgroundEarly exit from paid employment is a notable public health and societal challenge. Previous research has largely focused on the relationships among variables instead of the relationships among individuals with different work participation history. Person-oriented methods enable to identify latent groups of individuals who are likely to follow similar development in their work participation over time. We thus aimed to identify work participation trajectories during early and midlife careers and their social determinants using large nationally representative data comprising over 1 million initially employed individuals and a 10-year follow-up for their work participation. A further aim was to determine the cumulative incidence of sickness absence due to key diagnostic groups, mental disorders and musculoskeletal diseases within the trajectories.MethodsYoung (25–38 years at baseline,n = 495,663) and midlife (39–52 years at baseline,n = 603,085) Finnish people, all working in 2004, were followed up through 2013, with registers of the Social Insurance Institution, and the Statistics Finland. The registers provided data for work participation and its determinants, as well as for computing the cumulative incidence of sickness absence. Latent class growth analysis was used to identify trajectories.ResultsThree distinctive trajectories were identified: temporary exit, permanent exit, and continuously employed people. As compared to the other trajectories, those belonging to the permanent exit trajectory were more likely men, manual workers and had a lower income. The cumulative incidence of sickness absence due to mental disorders was highest in the permanent exit trajectory group. For musculoskeletal diseases, the cumulative incidence of sickness absence increased in the permanent exit trajectory mainly in the older age groups.ConclusionDistinct group-based trajectories of early work exit can be identified in a representative cohort of initially employed people. Focusing on the determinants of premature exit and early intervention to tackle increasing sickness absence may promote work participation particularly in the most vulnerable groups.

Socioeconomic differences in sickness absence are well known, but previous studies have tended to focus on wage earners only. This study examined incidence and length of sickness absence comparing the employee groups of upper and lower non-manual employees and manual workers, but also entrepreneurs, the unemployed and other non-wage-earners. The study utilized register data on a nationally representative 70% sample of Finns aged 25&ndash, 62 at the end of year 2012 (N = 1,615,352). Sickness absence spells compensated by sickness allowance and initiated during 2013 were retrieved from the register of the Social Insurance Institution of Finland (SIIF) and followed until the end of each episode and linked to socio-demographic covariates collected from the registers of the SIIF and of Statistics Finland. Zero-inflated negative binomial regression was used in multivariate models. After adjusting for age, marital status, region and income, there were clear differences in the occurrence and length of sickness absence across socioeconomic groups. Compared to upper non-manual employees, lower non-manual employees and especially manual workers had higher cumulative annual incidence of sickness absence among both men and women, but the entrepreneurs, the unemployed and other non-wage-earners had a clearly higher expected number of sickness absence days. Results varied by diagnostic group. The results highlight the importance of different types of preventive measures for reducing the occurrence of sickness absence and for preventing prolongations of sickness absence spells in different socioeconomic groups.

Background Declining response rates are a common challenge to epidemiological research. Response rates further are particularly low among young people. We thus aimed to identify factors associated with health survey response among young employees using different data collection methods. Methods We included fully register-based data to identify key socioeconomic, workplace and health-related factors associated with response to a health survey collected via online and mailed questionnaires. Additionally, telephone interviews were conducted for those who had not responded via online or to the mailed survey. The survey data collection was done in autumn 2017 among young employees of the City of Helsinki, Finland (18–39 years, target population n = 11,459). Results The overall response to the survey was 51.5% (n = 5898). The overall findings suggest that differences in the distributions of socioeconomic, workplace and health-related factors between respondents in the online or mailed surveys, or telephone interviews, are relatively minor. Telephone interview respondents were of lower socioeconomic position, which helped improve representativeness of the entire cohort. Despite the general broad representativeness of the data, some socioeconomic and health-related factors contributed to response. Thus, non-respondents were more often men, manual workers, from the lowest income quartile, had part-time jobs, and had more long sickness absence spells. In turn, job contract (permanent or temporary) and employment sector did not affect survey response. Conclusions Despite a general representativeness of data of the target population, socioeconomically more disadvantaged and those with long sickness absence, are slightly overrepresented among non-respondents. This suggests that when studying the associations between social factors and health, the associations can be weaker than if complete data were available representing all socioeconomic groups.

Vertaisarvioitu Lähtökohdat Tarkastelimme Kelan korvaamien sairauspoissaolojen esiintyvyyden ja poissaolopäivien määrän maakunnittaista vaihtelua ja sitä selittäviä tekijöitä. Menetelmät Kelan rekisteristä poimittiin vuoden 2012 lopun 25–62-vuotiaasta väestöstä 70 %:n satunnaisotos, johon yhdistettiin Kelan ja Tilastokeskuksen rekisteritietoja. Kelan korvaamalla sairauspäivärahakaudella olleiden väestöosuus ja poissaolopäivien keskimäärä vuonna 2013 laskettiin maakunnittain. Regressiomalleilla vakioitiin sukupuoli, ikä, siviilisääty ja ammattiasema sekä Kelan sairastavuusindeksi. Tulokset Maakuntien välillä oli selviä eroja sekä sairauspoissaolojen esiintyvyydessä että poissaolopäivien määrässä. Poissaolot olivat keskimääräistä harvinaisempia ja lyhyempiä Uudellamaalla. Sosiodemografisen väestörakenteen vakioiminen selitti neljänneksen maakuntien välisistä eroista poissaolleiden osuudessa ja noin puolet eroista poissaolopäivien keskimäärässä. Sairastavuusindeksin vakioiminen selitti osan lopuista alue-eroista. Päätelmät Pitkien sairauspoissaolojen maakunnittaiset erot ovat selvät, eivätkä ne selity väestörakenteen tai sairastavuuden eroilla. Sairauspoissaolojen alue-erojen taustasyitä on tärkeää selvittää.