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Background: The Rome Foundation Global Epidemiology Study (RFGES) found that 40.3% of adults in 26 internet-surveyed countries met Rome IV criteria for disorders of gut-brain interaction (DGBI). However, additional people not meeting DGBI criteria may also be burdened by frequent gastrointestinal symptoms., Aims: To explore the prevalence and demographic distribution of sub-diagnostic gastrointestinal symptoms, and the hypothesised associated effects on quality of life (QoL), life functioning and healthcare needs., Methods: We analysed data from the RFGES survey, which included the Rome IV diagnostic questionnaire and QoL, psychological, work productivity and healthcare questions., Results: Of the 50,033 people without a history of organic gastrointestinal disorders, 25.3% classified in the sub-diagnostic group (no DGBI but one or more frequent gastrointestinal symptoms), 41.4% had DGBI and 33.4% had no frequent gastrointestinal symptoms (non-GI group). Sub-diagnostic prevalence in different world regions ranged from 22.2% (North America) to 30.5% (Middle East), was slightly higher among males than females and decreased with age. The sub-diagnostic group was intermediate between the non-GI and DGBI groups, and significantly different from both of them on QoL, anxiety, depression, somatisation, healthcare utilisation and life and work impairment., Conclusions: One in four adults without organic gastrointestinal disorders or DGBI report frequent gastrointestinal symptoms. This sub-diagnostic group has reduced QoL, greater psychological and non-GI bodily symptoms, impaired work productivity and life activities and greater healthcare use compared to non-GI individuals. This suggests that many in this sub-diagnostic group might benefit from healthcare services or symptom self-management advice., (© 2024 The Authors. Alimentary Pharmacology & Therapeutics published by John Wiley & Sons Ltd.)

Background: Relationships between smoking and health-related quality of life (HRQoL) in the general population remain unclear., Objectives: To quantify the independent associations between smoking patterns and HRQoL and to identify any threshold or non-linear tendencies in these associations., Methods: A national representative, cross-sectional household survey of the French general non institutionalized population included 7525 men and 8486 women, aged 25-64 year in 2003. Scores on the eight subscales of the Medical Outcomes Study 36-item Short Form were the primary outcomes. Linear regression analyses were used to evaluate the associations between HRQoL and smoking history, quantity of smoking and smoking cessation while controlling for various socio-economic variables, depression, alcohol dependence and pathological conditions. Analyses were conducted in 2013., Results: Independent associations between smoking and HRQoL were found, including small positive associations for occasional or light smoking (up to 5 cigarettes per day), and larger and diffuse negative associations above this threshold. Much weaker associations and higher thresholds for negative HRQoL were found for women than for men. For ex-smokers of both genders, HRQoL was found to be better between 2 and 5 years after quitting., Conclusions: Smoking was independently related to HRQoL, with large differences according to the pattern and quantity of smoking, and to gender. These results may have considerable relevance both for public health action and care of smokers.

Background: Health-related quality of life (HRQoL) measures are increasingly used in the general population. However, little is known about patterns and determinants of unanswered or unusable questionnaires and their consequences on estimates of HRQoL., Methods: The 2003 Decennial Health Survey collected socio-demographic and health information, including HRQoL, for 30,782 adults representative of the French population. The pattern, determinants and impact on estimate validity of non, incomplete and inconsistent responses to the SF-36 questionnaire were determined. For this, phi coefficients, polytomous logistic regression models and multiple imputation methods were used., Results: Only 48% of the subjects eligible for the HRQoL measurement provided a complete and consistent SF-36 questionnaire. Three patterns of non-response and five of partial (incomplete or inconsistent) response were identified, sharing largely similar socio-demographic profiles (higher age, lower educational level and economic status, foreign background, and isolated). The consequences of non and partial responses on HRQoL estimates were large in several groups of subjects although these biases ran in opposite directions and partially neutralized each other., Conclusions: When measuring HRQoL in the general population, missing and inconsistent data are frequent, especially in elderly, educationally and socio-economically deprived, foreign and isolated groups. Methods for handling missing data are required to correct for potentially the associated and serious selection and non-differential information biases in studies targeting or investigating these groups.