Guest guest Posted July 24, 2005 Report Share Posted July 24, 2005 The question is, does voluntary weight loss cause ill effects? Well, it will turn on your doctor for more tests, maybe better health care, because she won't believe it's voluntary. I think we have to lose weight because the heart muscle ages, doesn't perform as well. As long as I can add weight easily, it implies to me, my heart is healthier, suffers less from athero perhaps. I just can't see where I'd get to 100 yo weighing 178#, so I wonder about losing at a controlled rate, say 2# per year for 30 yrs. I'd be 118#, not bad for a 100 yo, IMO. Forcing to a lower weight earlier, or not - I see no data for that. Especially since it's hard to do, and anorexia looms, if I go to far. Regards. ----- Original Message ----- From: T Sent: Sunday, July 24, 2005 3:21 AM Subject: [ ] Weight loss, or Weight loss "Diet"? Your local actuary wants to know...... Hello out there in Beaver Dam! "After controlling for age, medical, and lifestyle factors, both men and women had higher mortality rates over a 10+ year period for increasing categories of weight loss......" "Persons on weight loss diets within the year prior to baseline did not have increased mortality with increasing weight loss. CONCLUSION: The strong association between weight loss (likely involuntary) and mortality may be a useful way of estimating overall risks to longevity in populations." I think this type of research is important, if only for highlighting the limitations of epidemiologic research. You have to carefully control for this type of thing, or, invariably, you will get the "frail" thrown in with the the folks innocently following the Schwarzbein Principle. =-=-=-=-=-=-=-=-=-=-=--=-=-= Ann Epidemiol. 2005 Aug;15(7):483-91. Related Articles, Links Associations with weight loss and subsequent mortality risk.Knudtson MD, Klein BE, Klein R, Shankar A.From the Department of Ophthalmology and Visual Sciences, University of Wisconsin Medical School, Madison, WI, USA.PURPOSE: Studies have shown a high prevalence of weight loss in older adults is associated with an increased risk of death. We investigated this in a population-based study. METHODS: Persons living in Beaver Dam, Wisconsin, participated in a baseline examination between 1988 and 1990 (n=4926). A medical examination and standardized questionnaire were administered. Weight loss was defined as percent loss in body weight from highest lifetime weight to measured weight at baseline. RESULTS: Weight loss was associated with older age, higher rates of diseases such as diabetes, and lower baseline levels of blood pressure and serum total cholesterol. After controlling for age, medical, and lifestyle factors, both men and women had higher mortality rates over a 10+ year period for increasing categories of weight loss (hazard ratio [ 95% CI]: 1.16 [1.06, 1.27] for men and 1.23 [1.13, 1.34] for women). Increased mortality rates with increasing weight loss was shown in stratified analyses of age, body mass index (BMI) at highest weight, smoking, and disease status, but did not always reach statistical significance. Persons on weight loss diets within the year prior to baseline did not have increased mortality with increasing weight loss. CONCLUSION: The strong association between weight loss (likely involuntary) and mortality may be a useful way of estimating overall risks to longevity in populations.PMID: 16029840 [PubMed - in process] =-=-=-=-=-=-=-=- T. pct35768@... __________________________________________________ Quote Link to comment Share on other sites More sharing options...
Guest guest Posted July 24, 2005 Report Share Posted July 24, 2005 Hi All, Perhaps providing the below excerpts from the avaialble pdf may be useful. Knudtson MD, Klein BE, Klein R, Shankar A. Associations with weight loss and subsequent mortality risk. Ann Epidemiol. 2005 Aug;15(7):483-91. PMID: 16029840 http://www.ncbi.nlm.nih.gov/entrez/query.fcgi? cmd=Retrieve & db=pubmed & dopt=Abstract & list_uids=16029840 & query_hl=2 .... Persons on weight loss diets within the year prior to baseline did not have increased mortality with increasing weight loss. CONCLUSION: The strong association between weight loss (likely involuntary) and mortality may be a useful way of estimating overall risks to longevity in populations. .... Analyses stratified by age, BMI at highest weight, disease status, smoking status, exercise status, and dieting within the year prior to the baseline examination are presented in Table 3A for men and Table 3B for women. In general, the trends across these strata were consistent with men who lost more weight to have greater mortality rates. However, after multivariate adjustment some trends were not statistically significant (Table 3A). Men whose BMI at their highest weight was greater than or equal to 30 kg/m2 only had a marginally increased death rate with increasing weight loss category (p = 0.06). Further restricting the analysis to men with BMI > 35 kg/m2 showed a non-significant 13% increase in mortality per increasing weight loss category (data not shown). Men aged less than 65 years did not have an increased death rate with increasing weight loss category (p = 0.26). Both non-smoking men and currently smoking men did not have significantly increased mortality rates with increasing weight loss (p > 0.20). Similarly, men who reported having an active lifestyle did not have a statistically significant increased mortality rate with increasing weight loss (p = 0.21). Men reporting being on a weight loss diet in the year prior to the baseline examination did not have a significantly increased mortality rate with increasing weight loss (HR [95% CI]: 1.02 [0.74, 1.41]). Further stratification of specific diseases (e.g., diabetes) showed similar increased mortality rates with increasing weight loss. However, due to small sample size of specific diseases these hazard ratios did not reach statistical significance (data not shown). Table 3A. Stratified analyses investigating weight loss and mortality in men ....................................... Strata N Total N Death Mort 10-yr MV-adjusted* HR and 95% CI p-trend ....................................... Age 43–64 years 1307 174 12.2 1.10 (0.93,1.29) 0.26 Age 65–86 years 779 395 47.9 1.19 (1.06,1.33) 0.002 BMI <25 at highest weight 99 18 16.3 0.79 (0.29,2.10) 0.63 BMI 25–29.9 at highest weight 713 189 25.0 1.38 (1.16,1.64) <0.001 BMI & #8805;30 at highest weight 1274 362 26.6 1.11 (1.00,1.25) 0.06 No known disease † 1275 216 16.1 1.18 (1.03,1.36) 0.02 Has at least one disease † 850 368 40.2 1.17 (1.04,1.31) 0.007 Non-smokers 571 119 19.3 1.01 (0.83,1.23) 0.90 Past smokers 1046 307 27.7 1.29 (1.14,1.46) <0.001 Current smokers 469 143 28.4 1.12 (0.94,1.34) 0.20 Active lifestyle 519 121 21.4 1.14 (0.93,1.40) 0.21 Sedentary lifestyle 1567 448 26.9 1.15 (1.04,1.28) 0.006 Special diet to lose weight ‡ 214 63 27.2 1.02 (0.74,1.41) 0.92 ..................................... N total (death) = total number of persons (deaths). Mort 10-yr = Kaplan–Meier estimated failure at 10 years (multiplied by 100). HR = hazard ratio; CI = confidence interval. * Multivariate adjusted hazard ratio for a one step increase in weight loss category adjusted for age, smoking, current drinking status, cardiovascular disease history, diabetes, BMI at highest weight, systolic blood pressure, systolic blood pressure2, white blood cell count, serum creatinine, HCT, proteinuria, exercise, and reliability of weight. † Diseases considered include a history of diabetes, gross proteinuria, non-skin cancer, cardiovascular disease, gout, and/or thyroid disease. ‡ Only asked amongst persons who reported losing 10 or more pounds in the year prior to the baseline examination. Table 3B. Stratified analyses investigating weight loss and mortality in women ...................................... Strata N Total N Death Mort 10-yr MV-adjusted * HR and 95% CI p-trend ...................................... Age 43–64 years 1469 97 6.2 1.20 (0.97,1.48) 0.09 Age 65–86 years 1210 458 35.1 1.23 (1.13,1.35) <0.001 BMI <25 at highest weight 435 57 11.8 1.79 (1.31,2.44) <0.001 BMI 25–29.9 at highest weight 951 178 16.7 1.35 (1.14,1.59) <0.001 BMI & #8805;30 at highest weight 1263 302 22.7 1.15 (1.04,1.27) 0.009 No known disease† 1575 222 12.7 1.30 (1.14,1.48) <0.001 Has at least one disease† 1166 360 29.4 1.25 (1.13,1.38) <0.001 Non-smokers 1556 342 20.5 1.20 (1.08,1.33) <0.001 Past smokers 647 120 17.6 1.35 (1.13,1.63) 0.001 Current smokers 476 93 17.2 1.24 (1.01,1.51) 0.04 Active lifestyle 609 86 13.4 1.19 (0.97,1.47) 0.10 Sedentary lifestyle 2070 469 21.0 1.24 (1.13,1.35) <0.001 Special diet to lose weight ‡ 256 50 17.7 1.14 (0.81,1.59) 0.45 .............................................. N total (death) = total number of persons (deaths). Mort 10-yr = Kaplan–Meier estimated failure at 10 years (multiplied by 100). HR = hazard ratio; CI = confidence interval. * Multivariate adjusted hazard ratio for a one step increase in weight loss category adjusted for age, smoking, cardiovascular disease history, diabetes, white blood cell count, serum creatinine, gross proteinuria, serum albumin, less than high school education, cancer history, serum HDL cholesterol, and reliability of weight. † Diseases considered include a history of diabetes, gross proteinuria, non-skin cancer, cardiovascular disease, gout, and/or thyroid disease. ‡ Only asked amongst persons who reported losing 10 or more pounds in the year prior to the baseline examination. Stratified analyses in women showed increasing mortality rates with increasing weight loss in women aged at least 65 years, any BMI at highest weight, regardless if a known disease was present, and any smoking status (Table 3B). Further restricting the analysis to women with BMI > 35 kg/m2 showed a non-significant 12% increase in mortality per increasing weight loss category (data not shown). Women who reported having an active lifestyle also did not have a statistically significant increased mortality rate with increasing weight loss (p = 0.10). Women reporting being on a weight loss diet did not have a significantly increased mortality rate with increasing weight loss (multivariate HR [95% CI]: 1.14 [0.81, 1.59]). Women aged less than 65 years had a marginally increased risk of death for each weight loss category (p = 0.09). As was true in men, further stratification of specific diseases showed similar increased mortality with increasing weight loss, but these results did not reach statistical significance (data not shown). We investigated the relationship of weight loss and mortality further in women and men aged at least 65 years. Results were consistent with those displayed in Tables 2 and Table 3A and Table 3B (data not shown). In a further attempt to exclude all persons with a potentially fatal disease at baseline, all analyses described above were repeated after excluding deaths within the first 2 years of follow-up. There were no changes to any of the associations. For example, after excluding early deaths and adjusting for age, smoking, lifestyle, and other medical factors, for each increase in weight loss category the risk of death increased by 14% for men (HR and 95% CI of 1.14 [1.04, 1.26], p = 0.007) and 21% for women (HR and 95% CI of 1.21 [1.10, 1.32], p < 0.001). The majority of deaths in the population had a mention of cardiovascular disease on the death certificate (n = 742, 64% of all deaths). Analyzing cardiovascular disease mortality resulted in similar associations of weight loss to all-cause mortality (data not shown). We also investigated 175 cancer-related deaths. The association with increasing weight-loss category and cancer mortality was not significant in men, but was in women (multivariate HR, 95% CI: 1.07 [0.91, 1.27] for men and 1.21 [1.04, 1.41] for women). Discussion For the current report, we investigated associations of various personal characteristics with weight loss from highest self-reported weight and subsequent mortality risks in a large cohort of adults aged between 43 and 86 years. Weight loss was associated with lower levels of blood pressure and serum total cholesterol. In contrast, those with a greater weight loss were more likely to have diabetes and/or a history of cardiovascular disease. Whether these observations, which are cross-sectional, result from different antecedent-consequent relationships cannot be determined from our data. Persons who lost more of their highest lifetime weight had higher mortality rates. In general, this increased mortality risk was consistent in stratified analyses of age, BMI, smoking, and disease status, but did not always reach statistical significance. Persons known to be on a special weight loss diet did not have increased mortality rates for increasing weight loss. Weight loss has often been used as a marker for disease severity. This was evident in our data in that persons with either diabetes, history of cancer, history of cardiovascular disease or other known diseases had higher mortality rates if they had lost weight than if they were close to their highest lifetime weight. When we stratified individually by specific diseases (e.g., diabetes), the association between weight loss and mortality was not statistically significant. However, the prevalence of specific diseases was low limiting our power to detect associations. Consistent with this, several studies, including the NHANES I population, after adjusting for pre-existing illness and excluding early deaths found an increased mortality risk for persons who lost weight 1, 2, 3, 6, 7, 8, 10, 11 and 12. Studies that measure voluntary versus involuntary weight loss have generally shown that voluntary weight loss or attempts to voluntarily lose weight, regardless of the weight loss, have shown decreased mortality rates, while involuntary weight loss has been consistently associated with increased mortality rates 10, 14, 17, 24, 25 and 26. Only a few researchers have found voluntary weight loss to be associated with increased mortality (8). This may be explained by uncontrolled confounding since in the Yarri et al. study (8) they only controlled for age. This may further be explained by the inability to truly measure voluntary versus involuntary weight loss, as weight loss may be a composition of both 17 and 27. In our study, both men and women who reported being on a special diet within one year of the baseline examination did not have a significant increased mortality risk after adjusting for age, medical, and lifestyle factors. This suggests most of the realized weight loss in our study reflects other processes (e.g., severity of disease) associated with mortality. The reason for not finding a decrease in mortality in persons reporting being on weight loss diets may be a result of our crude measurement of voluntary weight loss. Several studies have shown that the weight loss and mortality risk is dependent upon initial BMI 2, 9 and 13. A study by Somes et al. (13) showed decreased mortality risks in obese persons who lose weight. In contrast, we showed increased mortality rates for increasing weight loss for both obese and overweight persons. The long-term effects of body mass index and obesity have been well studied and generally show obesity to be associated with adverse outcomes (28). However, a single measure of body mass at a baseline examination may not be sufficient to study the effects of weight on mortality. For example, obese persons who lost weight prior to a baseline examination may have a low BMI, as was evident in our analysis (see Table 1). This may explain, in part, why some studies show a U-shaped relationship with BMI and mortality (5). Another consideration is that we did not measure body composition to distinguish between fat and fat-free mass. Recent research has shown that fat mass increases mortality risk and fat-free mass decreases mortality risk 17 and 29. These measurements are inherently combined in the BMI and may be an explanation why different mortality risks with weight loss were not shown stratifying by BMI. Overall mortality findings from our study seem to reflect the risk of cardiovascular disease death as is true for other studies investigating cause-specific mortality 2, 3, 4, 8 and 12. We did not find an association between weight loss and cancer-related mortality in men. Yaari et al. (8) also did not find a relationship in cancer- mortality in elderly men. Most cancers are strongly linked to smoking. The excess risk attributable to weight loss may have been lower due to these other strong factors. Strengths of this study include the large size of the population studied and the ability to investigate stratified analyses of many potentially confounding factors. Investigation of these smaller groups aids in giving a better understanding of the associations, rather than adjustment in multivariate models. However, our study has several limitations. The population studied is relatively homogeneous in nature (99% white) and confined to a small geographic area of the United States and, therefore, may not be generalizable to populations of a different race or ethnicity. Another limitation is that we only have information on highest weight. We do not know if the weight loss was recent or if a significant weight gain occurred prior to the baseline examination, nor do we know if a person's weight had cycled. This may explain, in part, why excluding deaths within the first few years of follow-up did not alter the associations. Other researchers have shown similar associations after excluding deaths in early follow-up 3 and 4. Results may have been stronger if we had information on weight cycling as it has been shown that weight cycling is related to increased mortality 16, 30 and 31. Additionally, we cannot distinguish whether or not a decrease of fat- free or fat mass leads to the increased mortality rates in our study. We do not know the height of the person at their highest weight. It has been shown that height decreases with age (32). Therefore, at the highest weight the person may have been slightly taller and thus a minor weight loss may have resulted in no change to the BMI. Another limitation was that highest weight was based on self-report. Sicker persons may have been more likely to recall being at a higher weight previously than persons without any illness. In conclusion, we found an association between weight loss from highest lifetime weight and increased mortality risk. We could not fully distinguish between voluntary and involuntary weight loss. However, persons who reported being on special diets to lose weight who lost weight were not at increased risk of dying. Future epidemiological studies investigating mortality should be designed to inquire about weight loss history including whether weight loss was secondary to diet. Studies cannot possibly inquire about the presence and severity of all diseases. ... > ----- Original Message ----- > From: T > > Sent: Sunday, July 24, 2005 3:21 AM > Subject: [ ] Weight loss, or Weight loss " Diet " ? Your local actuary wants to know...... > > > Hello out there in Beaver Dam! > > " After controlling for age, medical, and lifestyle factors, both men and women had higher mortality rates over a 10+ year period for increasing categories of weight loss...... " > > " Persons on weight loss diets within the year prior to baseline did not have increased mortality with increasing weight loss. CONCLUSION: The strong association between weight loss (likely involuntary) and mortality may be a useful way of estimating overall risks to longevity in populations. " > > I think this type of research is important, if only for highlighting the limitations of epidemiologic research. You have to carefully control for this type of thing, or, invariably, you will get the " frail " thrown in with the the folks innocently following the Schwarzbein Principle. > > =-=-=-=-=-=-=-=-=-=-=--=-=-= > > Ann Epidemiol. 2005 Aug;15(7):483-91. > Associations with weight loss and subsequent mortality risk. > Knudtson MD, Klein BE, Klein R, Shankar A. > PMID: 16029840 [PubMed - in process] Quote Link to comment Share on other sites More sharing options...
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