Well-being and mental stress in the population study of women in Gothenburg, Sweden: cohort comparisons from 1980 to 2016 of 36-year trends and socioeconomic disparities in 38-and 50-year old women

Comparison between Swedish EORTC QLQ-C30 general population norm data published in 2000 and 2019

BACKGROUND

Normative health-related quality of life (HRQoL) data from the general population are regularly used to facilitate the interpretation of HRQoL as reported by cancer patients participating in cancer clinical trials, especially when conducting long-term follow-up studies after treatment. The aim of the present study is to compare two Swedish normative data sets, published in 2000 and 2019 respectively, and explore whether HRQoL as reported by the Swedish general population has changed over time.

MATERIAL AND METHODS

'Sample 2000' was comprised of normative data from the Swedish general population who responded to the EORTC QLQ-C30 in a Swedish mail survey in 1999 (n = 3069). 'Sample 2019' consisted of data from the Swedish general population collected as part of a European norm data study using online panels, published in 2019 (n = 1027). Data were analyzed stratified by sex and age (40-49; 50-59; 60-69; 70-79 years).

RESULTS

For most of the subscales and single items, no age group differences between the two samples were found, with the exception of the oldest age group (70-79 years), where Sample 2019 generally showed better HRQoL as compared to Sample 2000. Lower (worse) levels of Global quality of life and higher (worse) levels of Dyspnoea were found in Sample 2019 for most age groups.

CONCLUSION

There were no differences found between the samples for most EORTC QLQ-C30 subscales and single items, with the exception of the oldest age group of both sexes in Sample 2019 who reported better HRQoL on many variables. When deciding which normative dataset to use, the mode of data collection and age group have to be considered.

Perception of higher frequency of daily hot flashes in 50-year-old women today: a study of trends over time during 48 years in the Population Study of Women in Gothenburg, Sweden

OBJECTIVE

The aim of this study was to examine if there are any differences in the prevalence of daily hot flashes in 50-year-old women in a longitudinal perspective (from 1968 to 2017).

METHODS

Cohort comparisons of four population-based samples of 50-year-old women born in 1918, 1930 (earlier-born cohorts), 1954, and 1966 (later-born cohorts) from the Prospective Population Study of Women in Gothenburg examined in 1968-1969, 1980-1981, 2004-2005, and 2016-2017. Questions about frequency of hot flashes have been formulated in the same way throughout all follow-up examinations. Changes between four generations of 50-year-old women were studied.

RESULTS

In the unadjusted model, we found an increased prevalence of daily hot flashes in 50-year-old women born in 1954 and 1966 compared with 50-year-old women born in 1918 and 1930 (odds ratio, 1.74; 95% confidence interval, 1.37-2.22). When considering potential predictors for daily hot flashes (smoking, perceived level of high stress, BMI, waist-to-hip ratio, hormone therapy, and hormonal contraceptives) in the adjusted model, there was a notable difference; odds ratio increases from 1.74 to 1.92 (95% confidence interval, 1.46-2.52). Smoking frequency was substantially lower in the later-born cohorts, 39% compared with 17%.

CONCLUSIONS

In this prospective longitudinal study of 50-year-old women, we found nearly twice as high odds of reporting daily hot flashes in the later-born women compared with earlier-born. When controlling for potential predictors, there was still an obvious difference, which cannot be explained in our study. These findings have not earlier been described, and there is a need for further longitudinal population studies investigating the prevalence of hot flashes over time. Moreover, additional research is required exploring the underlying mechanism of hot flashes, as well as studies that take into account potential risk factors in the environment and societal development over time, that is, impacts of endocrine-disrupting chemicals changes in lifestyle, environmental, and dietary factors, as well as working conditions.