BackgroundThere is evidence to support that the number of self-reported symptoms is a strong predictor of health outcomes. In studies examining the link between symptoms and functional status, focus has traditionally been on individual symptoms or specific groups of symptoms. We aim to identify associations between the number of self-reported symptoms and functional status.MethodsA questionnaire was sent to people in seven age groups (N = 3227) in Ullensaker municipality in Southern Norway. The Standardised Nordic Questionnaire and the Subjective Health Complaints Inventory were used to record 10 musculoskeletal symptoms and 13 non-musculoskeletal symptoms, respectively. Four COOP-WONCA charts were used to measure functional status.ResultsWe found a strong linear association between the number of self-reported symptoms and functional status. The number of symptoms explained 39.2% of the variance in functional status after adjusting for the effects of age and sex. Including individual symptoms instead of only the number of symptoms made little difference to the effect of musculoskeletal pain but affected the influence of non-muscular symptoms. Including even minor problems captured substantially more of the variance in functional status than including only serious problems.ConclusionsThe strong association between the number of symptoms and functional status, irrespective of type of symptom, might indicate that the symptoms share some common characteristics. The simple act of counting symptoms may provide an approach to study the relationships between health and function in population studies and might be valuable in research on medically unexplained conditions.

BackgroundThere is a lack of knowledge about the pattern of symptom reporting in the general population as most research focuses on specific diseases or symptoms. The number of musculoskeletal pain sites is a strong predictor for disability pensioning and, hence, is considered to be an important dimension in symptom reporting. The simple method of counting symptoms might also be applicable to non-musculoskeletal symptoms, rendering further dimensions in describing individual and public health. In a general population, we aimed to explore the association between self-reported non-musculoskeletal symptoms and the number of pain sites.MethodsWith a cross-sectional design, the Standardised Nordic Questionnaire and the Subjective Health Complaints Inventory were used to record pain at ten different body sites and 13 non-musculoskeletal symptoms, respectively, among seven age groups in Ullensaker, Norway (n = 3,227).ResultsResults showed a strong, almost linear relationship between the number of non-musculoskeletal symptoms and the number of pain sites (r = 0.55). The number and type of non-musculoskeletal symptoms had an almost equal explanatory power in the number of pain sites reported (27.1% vs. 28.2%).ConclusionThe linear association between the number of non-musculoskeletal and musculoskeletal symptoms might indicate that the symptoms share common characteristics and even common underlying causal factors. The total burden of symptoms as determined by the number of symptoms reported might be an interesting generic indicator of health and well-being, as well as present and future functioning. Research on symptom reporting might also be an alternative pathway to describe and, possibly, understand the medically unexplained multisymptom conditions.

Objective. To determine the number of symptoms experienced in an adult population and their relationship with selfreported health, demographic, and lifestyle factors. Design. A postal questionnaire addressing 23 different symptoms, health, demographic, and lifestyle factors. Setting. The community of Ullensaker, Norway, in 2004. Subjects. 3325 subjects (participation rate ϭ 54.4%). Main outcome measure. Number of self-reported symptoms. Results. At least one symptom was reported by 91.9% of the participants, 46.7% reported six or more, and 17.3% reported 10 or more symptoms. Symptom reporting was frequent in all age groups, also among young people. Women reported a greater mean number of symptoms than men (6.7 vs. 5.1). Those reporting poor health, receipt of social security benefi t, unemployment, low education, or obesity had most symptoms. The proportion of respondents with these characteristics increased almost linearly with increasing number of symptoms. According to an adjusted multivariate model, self-reported overall health explained 28.2 % of the variance in the number of symptoms. Conclusion. A large proportion of the responders reported a high number of symptoms. A simple method of counting symptoms may be useful in approaching patients in general and multi-symptom patients in particular, because the total burden of symptoms is strongly associated with the patient ' s self-reported health and may even be a predictor of future disability.

Patients frequently considered that they may suffer from UCs. The likelihood of such concerns strongly increased with an increasing symptom load and with the number of life stressors with negative impact on present health. Hence, the number of symptoms may be a strong indicator of whether patients consider their symptoms part of such often controversial multisymptom conditions.

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