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Original Research

Somatic symptom profiles in the general population: a latent class analysis in a Danish population-based health survey

, , , , , , , , & show all
Pages 421-433 | Published online: 23 Aug 2017

Figures & data

Table 1 Characteristics of the population

Table 2 Conditional probabilities of the 19 symptoms given the 10 classes in the LCA model, including class size and expected number of symptoms

Table 3 OR for being in the symptom profiles compared to the “no symptoms” profile according to age, sex, and chronic disease

Table 4 The probability of poor self-perceived health within each of the 10 symptom profiles

Figure 1 Ten graphs each representing a symptom profile.

Notes: The graph indicates the probability of being considerably bothered by the symptoms given at the X-axis when belonging to the specific symptom profile. The names of the graphs represent the profile labels. The symptoms at the X-axis are sorted according to type/site of the symptom (categories in brackets below the graph). The model includes direct effects between rapid heartbeat and chest pain and between urinary incontinence and urinary retention. GS includes headache, tiredness, and sleeplessness.
Abbreviations: CP, cardiopulmonary; GI, gastrointestinal; GS, general symptoms; MS, musculoskeletal; OS, other symptoms.
Figure 1 Ten graphs each representing a symptom profile.

Table S1 Model fit statistics for latent class models with 1–15 classes based on data on 19 self-reported symptoms

Table S2 Classification table for the latent model with 10 classes based on 19 self-reported symptoms

Table S3 Conditional probabilities of the symptoms given the 9 classes in the LCA model based on 13 more commonly measured symptoms including class size and expected number of symptoms

Table S4 OR for being in the symptom profiles compared to the healthy profile, based on the LCA on 13 symptoms

Table S5 The probability of poor self-perceived health within each of the 9 symptom profiles based on the LCA on 13 symptoms